From 78d57bf043306a05524c5dcca7186ede0018d205 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 10:30:34 -0700 Subject: [PATCH 01/11] added readme --- 001617/README.md | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 001617/README.md diff --git a/001617/README.md b/001617/README.md new file mode 100644 index 0000000..056ea45 --- /dev/null +++ b/001617/README.md @@ -0,0 +1,8 @@ +# Example Sessions for Dandiset 001617 + +This submission provides 2 notebooks showcasing example sessions for the Dandiset 001617. + +Each notebook provides an example of how to access the critical data and metadata from the 2 types of experiments in the dataset: + +- `photometry_example_notebook.ipynb` showcases one example session from the 001617 dataset containing concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation. +- `behavior_example_notebook.ipynb` showcases one example session from the 001617 dataset containing labeled sleep/wake behavior, concurrent electrophysiology recordings, and DeepLabCut pose estimation. \ No newline at end of file From a63c8ea3e073f3706a46b18612dc00140074ddac Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 11:07:18 -0700 Subject: [PATCH 02/11] added stream_nwbfile --- 001617/stream_nwbfile.py | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 001617/stream_nwbfile.py diff --git a/001617/stream_nwbfile.py b/001617/stream_nwbfile.py new file mode 100644 index 0000000..02bff64 --- /dev/null +++ b/001617/stream_nwbfile.py @@ -0,0 +1,35 @@ +from pynwb import NWBHDF5IO +import remfile +import h5py +from dandi.dandiapi import DandiAPIClient + +def stream_nwbfile(DANDISET_ID, file_path): + '''Stream NWB file from DANDI archive. + + Parameters + ---------- + DANDISET_ID : str + Dandiset ID + file_path : str + Path to NWB file in DANDI archive + + Returns + ------- + nwbfile : NWBFile + NWB file + io : NWBHDF5IO + NWB IO object (for closing) + + Notes + ----- + The io object must be closed after use. + ''' + with DandiAPIClient() as client: + client.dandi_authenticate() + asset = client.get_dandiset(DANDISET_ID, 'draft').get_asset_by_path(file_path) + s3_url = asset.get_content_url(follow_redirects=1, strip_query=False) + file_system = remfile.File(s3_url) + file = h5py.File(file_system, mode="r") + io = NWBHDF5IO(file=file, load_namespaces=True) + nwbfile = io.read() + return nwbfile, io \ No newline at end of file From e3ab7d390c4f89784054135fc6bd7809e9ba820f Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 11:11:13 -0700 Subject: [PATCH 03/11] added environment.yml --- 001617/environment.yml | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 001617/environment.yml diff --git a/001617/environment.yml b/001617/environment.yml new file mode 100644 index 0000000..aed6ef8 --- /dev/null +++ b/001617/environment.yml @@ -0,0 +1,13 @@ +# run: conda env create --file environment.yml +name: dan_notebook_env +channels: + - conda-forge +dependencies: + - python==3.13 + - ipykernel + - matplotlib + - dandi + - pip + - pip: + - remfile + - dan-lab-to-nwb @ git+https://github.com/catalystneuro/dan-lab-to-nwb.git@main \ No newline at end of file From c431685e6c3c611daffae49299e19b72644ba6b1 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 12:16:27 -0700 Subject: [PATCH 04/11] added photometry example notebook --- 001617/photometry_example_notebook.ipynb | 1062 ++++++++++++++++++++++ 1 file changed, 1062 insertions(+) create mode 100644 001617/photometry_example_notebook.ipynb diff --git a/001617/photometry_example_notebook.ipynb b/001617/photometry_example_notebook.ipynb new file mode 100644 index 0000000..8bbff3d --- /dev/null +++ b/001617/photometry_example_notebook.ipynb @@ -0,0 +1,1062 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5e1e9b71", + "metadata": {}, + "source": [ + "# Photometry Example Notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c949b337", + "metadata": {}, + "outputs": [], + "source": [ + "from stream_nwbfile import stream_nwbfile\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "id": "a171dd87", + "metadata": {}, + "source": [ + "This notebook showcases one example session from the 001617 dataset containing concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3ba11e79", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "A newer version (0.71.4) of dandi/dandi-cli is available. You are using 0.67.2\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: a53a5795-fc9f-4b6f-be88-504dd5939041
session_start_time2024-11-08 07:20:06-08:00
timestamps_reference_time2024-11-08 07:20:06-08:00
file_create_date
02025-10-01 17:20:02.214253-07:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1
starting_time: 0.0
rate: 10.0
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
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Shape(0, 0, 0)
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Chunk shapeNone
CompressionNone
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Compression ratioundefined

[]
starting_time_unit: seconds
external_file
HDF5 dataset
Data typeobject
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Array size8.00 bytes
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Compression ratio0.5

[b'sub-M301_ses-M301-241108-072001_ecephys+image/b6394d16-bf13-41c8-8341-e8f03431c999_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
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[0]
format: external
device
description: Video camera used for recording.
calcium_signalPFC
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from PFC.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
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Chunk shape(2500000,)
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starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the calcium signal of PFC.
table
description:
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locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
calcium_signalVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.282026770744337
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the calcium signal of VTA.
table
description:
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
isosbestic_controlPFC
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from PFC.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3381768505083498
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of PFC.
table
description:
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
isosbestic_controlVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3235867554797829
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of VTA.
table
description:
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'fiber photometry' b'optogenetics' b'sleep']
processing
ecephys
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
data_interfaces
ElectricalSeriesEEG
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26240256, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Compression ratio1.4717029244075497
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
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locationgroupgroup_namechannel_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EMG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26240256, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Compression ratio1.8059763676119882
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
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locationgroupgroup_namechannel_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes
description: metadata about extracellular electrodes
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationgroupgroup_namechannel_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
electrode_groups
ElectrodeGroupEEG
description: ElectrodeGroup for EEG channels.
location: Brain Region Z
device
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
ElectrodeGroupEMG
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
DeviceEMG
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device
description: Video camera used for recording.
dichroic_mirror
description:
serial_number: DM001
model
manufacturer:
model_number:
description:
cut_on_wavelength_in_nm: -1.0
cut_off_wavelength_in_nm: -1.0
reflection_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
transmission_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
angle_of_incidence_in_degrees: -1.0
emission_filter
description:
model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_filter
description:
model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_source_calcium_signal
description:
model
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[460. 470.]
power_in_W: -1.0
intensity_in_W_per_m2: -1.0
exposure_time_in_s: -1.0
excitation_source_isosbestic_control
description:
model
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 410.]
power_in_W: -1.0
intensity_in_W_per_m2: -1.0
exposure_time_in_s: -1.0
optical_fiber1
description:
serial_number: OF001
model
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere:
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiber2
description:
serial_number: OF002
model
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere:
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberBF
description: Optical fiber used for optogenetic stimulation in the BF.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberLC
description: Optical fiber used for optogenetic stimulation in the LC.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberVTA
description: Optical fiber used for optogenetic stimulation in the VTA.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source
description: An LED device used for optogenetic stimulation.
model
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
photodetector
description:
serial_number: PD001
model
manufacturer:
model_number:
description:
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 700.]
gain: -1.0
gain_unit: V/W
device_models
dichroic_mirror_model
manufacturer:
model_number:
description:
cut_on_wavelength_in_nm: -1.0
cut_off_wavelength_in_nm: -1.0
reflection_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
transmission_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
angle_of_incidence_in_degrees: -1.0
emission_filter_model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_filter_model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_source_model_calcium
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[460. 470.]
excitation_source_model_isosbestic
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 410.]
optical_fiber_model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optical_fiber_model_1
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
optical_fiber_model_2
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
optogenetic_excitation_source_model
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
photodetector_model
manufacturer:
model_number:
description:
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 700.]
gain: -1.0
gain_unit: V/W
intervals
optogenetic_pulses
description: Metadata about optogenetic stimulation parameters per pulse
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
start_timestop_timepower_in_mWwavelength_in_nmstimulus_typeoptogenetic_sites
id
00.0003280.00065520.0-1.0test_pulse[0]
173.91182873.91215620.0-1.0test_pulse[0]
2147.823329147.82365720.0-1.0test_pulse[0]
3213.290353213.29068020.0-1.0test_pulse[0]

... and 87192 more rows.

subject
age: P0D/
age__reference: birth
description: Mice were used for all experiments.
sex: U
species: Mus musculus
subject_id: M301
lab_meta_data
fiber_photometry
fiber_photometry_table
description:
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
fiber_photometry_indicators
indicators
pfc_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_viruses
viral_vectors
pfc_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_virus_injections
viral_vector_injections
pfc_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
optogenetic_experiment_metadata
stimulation_software: TDT Synapse
optogenetic_sites_table
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
optical_fibereffectorexcitation_source
id
0optical_fiberVTA abc.OpticalFiber at 0x5035027520\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035027216\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_vta abc.Effector at 0x5040507792\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_vta abc.ViralVectorInjection at 0x5035026304\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
1optical_fiberBF abc.OpticalFiber at 0x5040511632\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040511312\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_bf abc.Effector at 0x5035585088\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_bf abc.ViralVectorInjection at 0x5040507152\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
2optical_fiberLC abc.OpticalFiber at 0x5035026912\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the LC.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035026608\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_lc abc.Effector at 0x5040507472\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_lc abc.ViralVectorInjection at 0x5035022656\\nFields:\\n ap_in_mm: -5.5\\n description: Viral injection into the Locus Coeruleus (LC).\\n dv_in_mm: -3.6\\n hemisphere: right\\n location: Locus Coeruleus (LC)\\n ml_in_mm: 0.9\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses
viral_vectors
virus
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections
viral_vector_injections
virus_injection_bf
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_lc
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_vta
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors
effectors
chrimsonR_bf
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_lc
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_vta
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
session_id: M301-241108-072001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" + ], + "text/plain": [ + "root pynwb.file.NWBFile at 0x5040163536\n", + "Fields:\n", + " acquisition: {\n", + " Video1 ,\n", + " calcium_signalPFC ,\n", + " calcium_signalVTA ,\n", + " isosbestic_controlPFC ,\n", + " isosbestic_controlVTA \n", + " }\n", + " device_models: {\n", + " dichroic_mirror_model ,\n", + " emission_filter_model ,\n", + " excitation_filter_model ,\n", + " excitation_source_model_calcium ,\n", + " excitation_source_model_isosbestic ,\n", + " optical_fiber_model ,\n", + " optical_fiber_model_1 ,\n", + " optical_fiber_model_2 ,\n", + " optogenetic_excitation_source_model ,\n", + " photodetector_model \n", + " }\n", + " devices: {\n", + " DeviceEEG ,\n", + " DeviceEMG ,\n", + " Video1 Camera Device ,\n", + " dichroic_mirror ,\n", + " emission_filter ,\n", + " excitation_filter ,\n", + " excitation_source_calcium_signal ,\n", + " excitation_source_isosbestic_control ,\n", + " optical_fiber1 ,\n", + " optical_fiber2 ,\n", + " optical_fiberBF ,\n", + " optical_fiberLC ,\n", + " optical_fiberVTA ,\n", + " optogenetic_excitation_source ,\n", + " photodetector \n", + " }\n", + " electrode_groups: {\n", + " ElectrodeGroupEEG ,\n", + " ElectrodeGroupEMG \n", + " }\n", + " electrodes: electrodes \n", + " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", + " file_create_date: [datetime.datetime(2025, 10, 1, 17, 20, 2, 214253, tzinfo=tzoffset(None, -25200))]\n", + " identifier: a53a5795-fc9f-4b6f-be88-504dd5939041\n", + " institution: University of California Berkeley\n", + " intervals: {\n", + " optogenetic_pulses \n", + " }\n", + " keywords: \n", + " lab: Dan Lab\n", + " lab_meta_data: {\n", + " fiber_photometry ,\n", + " optogenetic_experiment_metadata \n", + " }\n", + " processing: {\n", + " ecephys \n", + " }\n", + " session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", + " session_id: M301-241108-072001\n", + " session_start_time: 2024-11-08 07:20:06-08:00\n", + " source_script: Created using NeuroConv v0.8.2\n", + " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", + " subject: subject pynwb.file.Subject at 0x5040161520\n", + "Fields:\n", + " age: P0D/\n", + " age__reference: birth\n", + " description: Mice were used for all experiments.\n", + " sex: U\n", + " species: Mus musculus\n", + " subject_id: M301\n", + "\n", + " timestamps_reference_time: 2024-11-08 07:20:06-08:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "DANDISET_ID = '001617'\n", + "file_path = 'sub-M301/sub-M301_ses-M301-241108-072001_ecephys+image.nwb'\n", + "nwbfile, io = stream_nwbfile(DANDISET_ID, file_path)\n", + "display(nwbfile)" + ] + }, + { + "cell_type": "markdown", + "id": "3046f058", + "metadata": {}, + "source": [ + "Retrieve the Fiber Photometry, Ephys, and Optogenetic Stimulation Data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c8eb266c", + "metadata": {}, + "outputs": [], + "source": [ + "# Fiber Photometry\n", + "fp_signal_pfc_data = nwbfile.acquisition[\"calcium_signalPFC\"].data[:]\n", + "fp_control_pfc_data = nwbfile.acquisition[\"isosbestic_controlPFC\"].data[:]\n", + "fp_df_pfc_data = fp_signal_pfc_data - fp_control_pfc_data\n", + "fp_signal_vta_data = nwbfile.acquisition[\"calcium_signalVTA\"].data[:]\n", + "fp_control_vta_data = nwbfile.acquisition[\"isosbestic_controlVTA\"].data[:]\n", + "fp_df_vta_data = fp_signal_vta_data - fp_control_vta_data\n", + "fp_starting_time = nwbfile.acquisition[\"calcium_signalPFC\"].starting_time\n", + "fp_rate = nwbfile.acquisition[\"calcium_signalPFC\"].rate\n", + "fp_timestamps = np.arange(fp_starting_time, fp_starting_time + (len(fp_signal_pfc_data) / fp_rate), 1 / fp_rate)\n", + "\n", + "# EEG and EMG\n", + "eeg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].data[:]\n", + "eeg_data_in_uV = eeg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].conversion * 1e6\n", + "emg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].data[:]\n", + "emg_data_in_uV = emg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].conversion * 1e6\n", + "ephys_starting_time = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].starting_time\n", + "ephys_rate = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].rate\n", + "ephys_timestamps = np.arange(ephys_starting_time, ephys_starting_time + (len(eeg_data) / ephys_rate), 1 / ephys_rate)\n", + "\n", + "# Optogenetic Stimulation\n", + "ogen_df = nwbfile.intervals[\"optogenetic_pulses\"].to_dataframe()\n", + "test_pulse_df = ogen_df[ogen_df[\"stimulus_type\"] == \"test_pulse\"]\n", + "intense_stim_df = ogen_df[ogen_df[\"stimulus_type\"] == \"intense_stimulation\"]" + ] + }, + { + "cell_type": "markdown", + "id": "9593fc3f", + "metadata": {}, + "source": [ + "Plot Test Pulse" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9118a931", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Optogenetic Stimulation')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_pulse = test_pulse_df.iloc[2]\n", + "\n", + "# Define plot parameters\n", + "grace_time = 0.25\n", + "\n", + "# Define time windows for plotting\n", + "plot_start_time = example_pulse[\"start_time\"] - grace_time\n", + "plot_end_time = example_pulse[\"stop_time\"] + grace_time\n", + "fp_slice = slice(int(plot_start_time * fp_rate), int(plot_end_time * fp_rate))\n", + "ephys_slice = slice(int(plot_start_time * ephys_rate), int(plot_end_time * ephys_rate))\n", + "\n", + "# Normalize times to pulse start time\n", + "pulse_start_time = example_pulse[\"start_time\"]\n", + "normalized_pulse_stop_time = example_pulse[\"stop_time\"] - pulse_start_time\n", + "normalized_fp_timestamps = fp_timestamps[fp_slice] - pulse_start_time\n", + "normalized_ephys_timestamps = ephys_timestamps[ephys_slice] - pulse_start_time\n", + "\n", + "fig, axs = plt.subplots(6, 1, figsize=(20, 12), sharex=True)\n", + "axs[0].set_title(\"Example Test Pulse\")\n", + "\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_pfc_data[fp_slice], color=\"k\", label=\"FP Signal PFC\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_pfc_data[fp_slice], color=\"r\", label=\"FP Control PFC\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_vta_data[fp_slice], color=\"g\", label=\"FP Signal VTA\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_vta_data[fp_slice], color=\"b\", label=\"FP Control VTA\")\n", + "axs[0].set_ylabel(\"Fluorescence (a.u.)\")\n", + "axs[0].legend()\n", + "\n", + "axs[1].plot(normalized_fp_timestamps, fp_df_pfc_data[fp_slice], color=\"k\", label=\"FP dF PFC\")\n", + "axs[1].set_ylabel(\"dF (a.u.)\")\n", + "axs[1].legend()\n", + "\n", + "axs[2].plot(normalized_fp_timestamps, fp_df_vta_data[fp_slice], color=\"b\", label=\"FP dF VTA\")\n", + "axs[2].set_ylabel(\"dF (a.u.)\")\n", + "axs[2].legend()\n", + "\n", + "axs[3].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[3].set_ylabel(\"EEG (uV)\")\n", + "axs[3].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "\n", + "axs[4].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[4].set_ylabel(\"EMG (uV)\")\n", + "axs[4].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", + "\n", + "axs[5].axvspan(0, normalized_pulse_stop_time, color=\"blue\", alpha=0.5)\n", + "axs[5].set_ylabel(\"Optogenetic Stimulation\")" + ] + }, + { + "cell_type": "markdown", + "id": "e13f36d5", + "metadata": {}, + "source": [ + "Plot Intense Stimulation Pulse Train" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d959d903", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Optogenetic Stimulation')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_pulse_train = intense_stim_df.iloc[:4]\n", + "\n", + "# Define plot parameters\n", + "grace_time = 0.25\n", + "\n", + "# Define time windows for plotting\n", + "plot_start_time = example_pulse_train[\"start_time\"].iloc[0] - grace_time\n", + "plot_end_time = example_pulse_train[\"stop_time\"].iloc[-1] + grace_time\n", + "fp_slice = slice(int(plot_start_time * fp_rate), int(plot_end_time * fp_rate))\n", + "ephys_slice = slice(int(plot_start_time * ephys_rate), int(plot_end_time * ephys_rate))\n", + "\n", + "# Normalize times to pulse start time\n", + "pulse_start_time = example_pulse_train[\"start_time\"].iloc[0]\n", + "normalized_fp_timestamps = fp_timestamps[fp_slice] - pulse_start_time\n", + "normalized_ephys_timestamps = ephys_timestamps[ephys_slice] - pulse_start_time\n", + "normalized_pulse_start_times = example_pulse_train[\"start_time\"] - pulse_start_time\n", + "normalized_pulse_stop_times = example_pulse_train[\"stop_time\"] - pulse_start_time\n", + "\n", + "fig, axs = plt.subplots(6, 1, figsize=(20, 12), sharex=True)\n", + "axs[0].set_title(\"Example 'Intense Stimulation' Pulse Train\")\n", + "\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_pfc_data[fp_slice], color=\"k\", label=\"FP Signal PFC\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_pfc_data[fp_slice], color=\"r\", label=\"FP Control PFC\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_vta_data[fp_slice], color=\"g\", label=\"FP Signal VTA\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_vta_data[fp_slice], color=\"b\", label=\"FP Control VTA\")\n", + "axs[0].set_ylabel(\"Fluorescence (a.u.)\")\n", + "axs[0].legend()\n", + "\n", + "axs[1].plot(normalized_fp_timestamps, fp_df_pfc_data[fp_slice], color=\"k\", label=\"FP dF PFC\")\n", + "axs[1].set_ylabel(\"dF (a.u.)\")\n", + "axs[1].legend()\n", + "\n", + "axs[2].plot(normalized_fp_timestamps, fp_df_vta_data[fp_slice], color=\"b\", label=\"FP dF VTA\")\n", + "axs[2].set_ylabel(\"dF (a.u.)\")\n", + "axs[2].legend()\n", + "\n", + "axs[3].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[3].set_ylabel(\"EEG (uV)\")\n", + "axs[3].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "\n", + "axs[4].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[4].set_ylabel(\"EMG (uV)\")\n", + "axs[4].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", + "\n", + "for start, stop in zip(normalized_pulse_start_times, normalized_pulse_stop_times):\n", + " axs[5].axvspan(start, stop, color=\"blue\", alpha=0.5)\n", + "axs[5].set_ylabel(\"Optogenetic Stimulation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1a1c4bf", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dan_notebook_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From d800e5b9c15ce71a2d91be866ffcd03dba145342 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 12:26:08 -0700 Subject: [PATCH 05/11] fixed ogen stim yticks --- 001617/photometry_example_notebook.ipynb | 334 ++++++++++++----------- 1 file changed, 169 insertions(+), 165 deletions(-) diff --git a/001617/photometry_example_notebook.ipynb b/001617/photometry_example_notebook.ipynb index 8bbff3d..4dba99d 100644 --- a/001617/photometry_example_notebook.ipynb +++ b/001617/photometry_example_notebook.ipynb @@ -115,52 +115,52 @@ " Ventral Tegmental Area (VTA)\n", " 465.0\n", " -1.0\n", - " vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", - " optical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\n\n", - " excitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\n\n", - " photodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", - " dichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", - " emission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", - " excitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", + " vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", + " optical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\n\n", + " excitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\n\n", + " photodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", + " dichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", + " emission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", + " excitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", " \n", " \n", " 1\n", " Ventral Tegmental Area (VTA)\n", " 405.0\n", " -1.0\n", - " vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", - " optical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\n\n", - " excitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\n\n", - " photodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", - " dichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", - " emission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", - " excitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", + " vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", + " optical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\n\n", + " excitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\n\n", + " photodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", + " dichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", + " emission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", + " excitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", " \n", " \n", " 2\n", " Prefrontal Cortex (PFC)\n", " 465.0\n", " -1.0\n", - " pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", - " optical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\n\n", - " excitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\n\n", - " photodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", - " dichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", - " emission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", - " excitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", + " pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", + " optical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\n\n", + " excitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\n\n", + " photodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", + " dichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", + " emission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", + " excitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", " \n", " \n", " 3\n", " Prefrontal Cortex (PFC)\n", " 405.0\n", " -1.0\n", - " pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", - " optical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\n\n", - " excitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\n\n", - " photodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", - " dichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", - " emission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", - " excitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", + " pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\n\n", + " optical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\n\n", + " excitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\n\n", + " photodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\n\n", + " dichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\n\n", + " emission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\n\n", + " excitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n\n", " \n", " \n", "
calcium_signalVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.282026770744337
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the calcium signal of VTA.
table
description:
table\n", @@ -198,52 +198,52 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
isosbestic_controlPFC
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from PFC.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3381768505083498
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of PFC.
table
description:
table\n", @@ -281,52 +281,52 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
isosbestic_controlVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3235867554797829
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of VTA.
table
description:
table\n", @@ -364,52 +364,52 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'fiber photometry' b'optogenetics' b'sleep']
processing
ecephys
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
data_interfaces
ElectricalSeriesEEG
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26240256, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Compression ratio1.4717029244075497
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", @@ -433,28 +433,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -480,28 +480,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -527,28 +527,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -647,52 +647,52 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5040161856\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5040508112\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5040512592\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5040508432\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5040505232\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5040504912\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x5034082000\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x5035588784\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035588448\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x5035588112\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\nvta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x5035587776\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x5035587440\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x5035581728\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x5035580720\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x5035581056\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5040510672\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040510352\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5040510032\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5040509712\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5040509392\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5040160848\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x5035589120\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x5035586432\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x5035586096\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x5035587104\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x5035586768\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5040509072\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5040508752\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\npfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
fiber_photometry_indicators
indicators
pfc_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_viruses
viral_vectors
pfc_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_virus_injections
viral_vector_injections
pfc_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
optogenetic_experiment_metadata
stimulation_software: TDT Synapse
optogenetic_sites_table
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", @@ -713,27 +713,27 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
0optical_fiberVTA abc.OpticalFiber at 0x5035027520\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035027216\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_vta abc.Effector at 0x5040507792\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_vta abc.ViralVectorInjection at 0x5035026304\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiberVTA abc.OpticalFiber at 0x4997590080\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4997589776\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_vta abc.Effector at 0x5005396880\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_vta abc.ViralVectorInjection at 0x4997588864\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
1optical_fiberBF abc.OpticalFiber at 0x5040511632\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5040511312\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_bf abc.Effector at 0x5035585088\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_bf abc.ViralVectorInjection at 0x5040507152\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiberBF abc.OpticalFiber at 0x5005400720\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005400400\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_bf abc.Effector at 0x4998147648\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_bf abc.ViralVectorInjection at 0x5005396240\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
2optical_fiberLC abc.OpticalFiber at 0x5035026912\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the LC.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5035026608\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5040510992\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_lc abc.Effector at 0x5040507472\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_lc abc.ViralVectorInjection at 0x5035022656\\nFields:\\n ap_in_mm: -5.5\\n description: Viral injection into the Locus Coeruleus (LC).\\n dv_in_mm: -3.6\\n hemisphere: right\\n location: Locus Coeruleus (LC)\\n ml_in_mm: 0.9\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5040506832\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5040512272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5040511952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiberLC abc.OpticalFiber at 0x4997589472\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the LC.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4997589168\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_lc abc.Effector at 0x5005396560\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_lc abc.ViralVectorInjection at 0x4997585216\\nFields:\\n ap_in_mm: -5.5\\n description: Viral injection into the Locus Coeruleus (LC).\\n dv_in_mm: -3.6\\n hemisphere: right\\n location: Locus Coeruleus (LC)\\n ml_in_mm: 0.9\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses
viral_vectors
virus
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections
viral_vector_injections
virus_injection_bf
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_lc
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_vta
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors
effectors
chrimsonR_bf
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_lc
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_vta
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
session_id: M301-241108-072001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" ], "text/plain": [ - "root pynwb.file.NWBFile at 0x5040163536\n", + "root pynwb.file.NWBFile at 0x5005724368\n", "Fields:\n", " acquisition: {\n", " Video1 ,\n", @@ -797,7 +797,7 @@ " session_start_time: 2024-11-08 07:20:06-08:00\n", " source_script: Created using NeuroConv v0.8.2\n", " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x5040161520\n", + " subject: subject pynwb.file.Subject at 0x5005722352\n", "Fields:\n", " age: P0D/\n", " age__reference: birth\n", @@ -887,7 +887,7 @@ }, { "data": { - "image/png": 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" ] @@ -941,6 +941,8 @@ "axs[4].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", "\n", "axs[5].axvspan(0, normalized_pulse_stop_time, color=\"blue\", alpha=0.5)\n", + "axs[5].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[5].set_yticklabels([])\n", "axs[5].set_ylabel(\"Optogenetic Stimulation\")" ] }, @@ -970,7 +972,7 @@ }, { "data": { - "image/png": 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s2Tr5z58/h7u7e4HrJCIiIiLrY1CGiIiIiEq0S5cuYezYsRg8eDD+97//oWnTpujbty/Onz8PDw8PAC9PftrY2OgMaZaeno5169ZZrF0bNmzA2LFjNfNRUVEAXg6BZkxYWBhmz54NLy8vBAcHW6xt5jLW2yEsLAw///wzVCqVTvCrsJQpUwbh4eH4559/sHDhQigUCoSEhKBKlSr4559/cpywNsfTp0/h4+OjM8QYAKhUKty6dQuOjo6ak95F3bMgKCgIFy9e1Mk7cOAAUlNTTa4nkUggCIKmvaKVK1dCpVLp5OXlObVp0wbffvst1q9fj48//liTv3XrVqSlpaFNmza5bsPSgoKCsHnzZmRmZmqeW3x8PI4fPw5XV1ezt2OJfa0gJBJJjvdz9+7dePz4MSpXrlykbSEiIiIiy2BQhoiIiIiKrcuXLyM7OztHfqVKleDj44O0tDT06dMHwcHBWLp0KWxtbfHLL7+gfv36GDp0qKYnTJcuXfD999+jf//+eO+99xAfH4/vvvsux8nPwmJra4v58+cjNTUVjRo1wvHjxzFz5kx06tQJb775ptH1xo0bh61bt6J58+b4+OOPUbt2bajVajx48AB//PEHJkyYYJEgiDG1atVCdHQ0li1bhgYNGkAqlaJhw4Z45513sGHDBnTu3BkfffQRGjduDLlcjkePHuHgwYPo3r07evbsmae6mjRpgrCwMNSuXRseHh64du0a1q1bh9dff11zH58VK1agU6dO6NChA8LDw1G2bFkkJCTg2rVrOHfuHDZv3mx0++vWrcOKFSvQv39/NGrUCG5ubnj06BFWrlyJK1euYNq0aZqhxWrVqgUA+OGHHzBkyBDI5XKEhITkqweQOQYNGoSpU6di2rRpaNGiBa5evYolS5bAzc3N5Hqurq5o3rw55s2bB29vbwQFBeHw4cNYtWpVjl4VNWvWBAD89NNPcHFxgb29PYKDgw323GrXrh06dOiASZMmISUlBW+88QYuXryI6dOno169ehg0aFChPff8GjRoEFasWIGBAwdixIgRiI+Px7fffmtWQMbS+1pBhIWFITIyEqGhoahduzbOnj2LefPmoVy5chapj4iIiIiKHoMyRERERFRsiff90Pe///0Pw4cPx/vvv48HDx7g9OnTcHJyAgBUrFgRK1euRO/evbFw4UKMGzcOrVu3xurVqzF37lx07doVZcuWxYgRI+Dr64thw4YVervFodLGjh2LmTNnwsHBASNGjMC8efNMrufk5ISjR4/im2++wU8//YS7d+/CwcEB5cuXR9u2bREUFFTobTXlo48+wpUrVzBlyhQkJydDEAQIggCZTIadO3fihx9+wLp16zBnzhzY2NigXLlyaNGihSaokRetW7fGzp07sWDBAigUCpQtWxaDBw/G559/rinTqlUrnDp1CrNmzcK4ceOQmJgILy8vVK9eHX369DG5/S5duiA2NhZ79uzBsmXLkJiYCBcXF9SuXRvr1q3DwIEDNWVbtmyJyZMnY82aNfjf//4HtVqNgwcPmuzlVBCffPIJUlJSEBkZie+++w6NGzfGL7/8gu7du+e6blRUFD766CN8+umnyM7OxhtvvIF9+/ahS5cuOuWCg4OxcOFC/PDDD2jZsiVUKhUiIiIQHh6eY5sSiQTbt2/Hl19+iYiICMyaNQve3t4YNGgQZs+ebbFgZl688cYbWLNmDb755ht0794dFStWxPTp07Fnzx4cOnTI5LqW3tcK4ocffoBcLsecOXOQmpqK+vXrIzo6Gl988YXF6iQiIiKioiURBEGwdiOIiIiIiEqL8PBwbNmyJdehp4iIiIiIiOjVI829CBERERERERERERERERUUgzJERERERERERERERERFgMOXERERERERERERERERFQH2lCEiIiIiIiIiIiIiIioCDMoQEREREREREREREREVAQZliIiIiIiIiIiIiIiIioCNtRtgrjlz5iA6OhrXr1+Hg4MDmjZtirlz5yIkJERTRhAEzJgxAz/99BMSExPRpEkT/Pjjj6hRo4amTGZmJiZOnIiNGzciPT0dbdq0wdKlS1GuXDmz26JWq/HkyRO4uLhAIpEU6vMkIiIiIiIiIiIiIqKSRRAEvHjxAgEBAZBKjfeHkQiCIBRhu/KtY8eOeOedd9CoUSNkZ2fj888/x6VLl3D16lU4OTkBAObOnYtZs2YhMjISVatWxcyZM3HkyBHcuHEDLi4uAIAPPvgAv/76KyIjI+Hl5YUJEyYgISEBZ8+ehUwmM6stjx49QmBgoMWeKxERERERERERERERlTwPHz402QmkxARl9D179gy+vr44fPgwmjdvDkEQEBAQgHHjxmHSpEkAXvaKKVOmDObOnYuRI0ciOTkZPj4+WLduHfr27QsAePLkCQIDA7Fnzx506NDBYF2ZmZnIzMzUzCcnJ6N8+fJ4+PAhXF1dLf9kiYiIiIiIiIiIiIio2EpJSUFgYCCSkpLg5uZmtJzFhy/LzMzEqVOncO/ePSgUCvj4+KBevXoIDg4u0HaTk5MBAJ6engCAu3fvIjY2Fu3bt9eUsbOzQ4sWLXD8+HGMHDkSZ8+ehVKp1CkTEBCAmjVr4vjx40aDMnPmzMGMGTNy5Lu6ujIoQ0REREREREREREREAJDrLU8sFpQ5fvw4Fi9ejO3btyMrKwvu7u5wcHBAQkICMjMzUbFiRbz33nt4//33NUOLmUsQBIwfPx5vvvkmatasCQCIjY0FAJQpU0anbJkyZXD//n1NGVtbW3h4eOQoI65vyOTJkzF+/HjNvBjxIiIiIiIiIiIiIiIiMpdFgjLdu3fH6dOn0b9/f+zduxcNGzaEo6OjZvmdO3dw9OhRbNy4Ed9//z3Wrl2Ldu3amb390aNH4+LFizh27FiOZfpRKEEQco1M5VbGzs4OdnZ2ZrePiIiIiIiIiIiotMrKykJaWpomKRQKZGdnm0wAIJPJIJPJYGNjo5kW521sbODg4AAHBwc4OjpqHm1tbXM9t0dEVJJYJCjTvn17bN68Gba2tgaXV6xYERUrVsSQIUNw5coVPHnyxOxtjxkzBjt37sSRI0d0bpbj5+cH4GVvGH9/f01+XFycpveMn58fsrKykJiYqNNbJi4uDk2bNs3TcyQiIiIiIiIiIiqJBEFAUlISYmNj8fTpU8THxyMxMVGTEhISdOaTk5N1gjBikKUoSKVSTYDG2dkZbm5uOZKrq6vOvLu7O9zd3eHh4aF5NHaekoioqFkkKDNq1Cizy9aoUQM1atTItZwgCBgzZgy2bduGQ4cO5bgnTXBwMPz8/LBv3z7Uq1cPwMuo/eHDhzF37lwAQIMGDSCXy7Fv3z706dMHABATE4PLly/j22+/NbvNRERERERERERExU1mZiZiY2NzpJiYmBx5mZmZBa7PxsYGTk5Omh4tYg8YseeLmGQyGQBApVLlSNnZ2ZrHjIwMKBQKKBQKqFQqAIBardYEg549e5bvtjo6OmoCNGLSnjc27eHhAUdHR/bWsTBBEJCdnY2srKwc+4aheUPT2rTfr9ymtfOkUqlOLy5DKbcyUqmU+wuZZLF7yhS2UaNGISoqCjt27ICLi4vmHjBubm5wcHCARCLBuHHjMHv2bFSpUgVVqlTB7Nmz4ejoiP79+2vKDhs2DBMmTICXlxc8PT0xceJE1KpVC23btrXm0yMiIiIiIiIiIspBrVYjISHBYHBFfz4xMTFP23Z3d0eZMmXg5eUFDw8PeHp66jyK066urnBycsqRLNX7RBAEKJVKpKena4I0CoUCqampSE5OzjUlJSVpUnJyMgBotpGXEXtEcrk8R88bcwM7JWEINkEQkJmZqUkZGRk602Ky5HxmZibUarW1X4pCYypwIy7TDloaCmTq5+WlbEHXN6dstWrV2AMtnySCIAjWqHjIkCF4+PAhDhw4YFZ5Y19cERERCA8PB/DyC2TGjBlYsWIFEhMT0aRJE/z444+oWbOmpnxGRgY++eQTREVFIT09HW3atMHSpUsRGBhodttTUlLg5uaG5ORkuLq6mr0eERERUWkg/knOyspCVlYWMjMzNdPG8swpU5A8pVIJqVSq+YNjatrW1hb29vaaMcvFJOY5OjrC1dVVMwyG/qObmxucnJyK9R9rIiIiKt4EQUBiYiKePn2qGUJMTNrz4nRehguztbWFn5+fTvL398+R5+fnB3t7ews+y+JBpVJpAjXaQ7JpzxubTkxMzNEDIz8kEonmWFP/UZy2s7PTOWY19ahWqzW9RLSntZNarUZ2drbRYIt2nlKpLIRX2nK070Fk6H5E4rT28bn2KW/909/GlgmCYPT11H9trXRKvVi5f/8+ypcvb+1mFCvmxg2sFpSZMmUKYmJiEBERYY3qC4RBGSIqzQRBQHp6Ol68eKGTUlJSdOZTU1MNHtBpH9ipVCoIgmA0AS8PruRyOWxtbSGXy3Mke3t7ODk5wdnZ2eCVWeKYwuKVSPb29jxRSnkiXhWWnJyMlJQUpKamIj09XZMUCoXBefHPi1Kp1LmBqaH53P7ImXM4ZuqPhDnzxsqI7c3LY2m6gi2/bGxs4O3tbVby9fWFr68v7OzsrN1sIiIisgCVSoWkpCQkJCRo7sUiTmun+Ph4neBLXk+Ee3t7mxVs8fDw4H+iQiIIAtLS0vIcyBHn09PTrf0U8sXW1hZ2dnY6ASN7e/sc04U9b2dnB1tb2xy9SoojQRByDd6YCuroD92nP53XvKJcX8w/e/aszr3dqQQEZUoyBmWIqKQQBAGpqal4/vw5nj17hufPn+c6nZycXChXAlmLra2tTldx7Rs8enh4wMfHR5O8vb0106/CFWKlXXp6us7+rJ3i4+ORkpKiCbyIj+J0cb8yrLiTSCSws7PT/InST4byC7usjY2NzpVtarU6x7Q4n5WVpQmsaQfctANv2vuH9n6TnJyc76CUm5ubJkCjn8qUKaMz7+HhUWz/gBIR0atDvMeDORdtiBeiiKeZtB/NyTOHOYGG3Mpo9/Y1NZ2RkYHU1FSkpqYiLS1N51F/OiUlxeznoM/DwwNlypTRSX5+fjrz/v7+8PX15TBBJZB43Kl97Kl9DKqdJw7fpX3S3tijRCIx654nNjY2muN0MYnBD2N5xX2oNaLijEEZC2JQhoisRalUmhVY0T4ZXZCbNzo7O8PFxUWTXF1dNdPOzs5wcHDIcTCnnWxsbCCRSIwmAJo/ceKfH+2UlZWFjIwMzU0dDaXU1FTNWMEFuXrf2dk5R6DGUPBGTC4uLjxQtaCsrCzEx8cbDLAYSwqFosD1au/bjo6OOkNb6c87ODhoggFiksvlRsfizW1/yc9JhrzOG8oTe6Vpt1/70dQy7SvZXhXaV0uas18+e/YMz549y9OQIwAgk8ng4+OTI1hjLIjj4OBgoWdMRETFiSAImhuhG+rVm5fp3JZnZGTk+ffrVefi4gJPT0+TSTvYwp60RESlS7EJyrz77rsml69evdqS1VsEgzJEVBiUSqWmC7t+MhZoEW9QmFf29vaa4IIYYDA07e3tDQ8PD82J6ZJ0lbbYK0i7q7j2Y1JSEuLj4zUnSAtyshR42SNHP1hjKqDj6en5Sp241qYdYNHfz7Wntff1/F5tKJfLc+zT3t7e8PT0hLu7u869QfTvE1LS9nkqOQRBQFJSEuLi4vD06VPExcUZTOKypKSkPNfh7OxsNGDj6+sLHx8fzf4uBtkdHR1LdHBZHH5PO7Bv7Krn/DwKgmDw3kSm5g314hKnc3sUL2QgUqlUJm+unNu9AUzdM8BUnjgUiXYylKc99AqAHBfcmLoYRyqV5hr4z09eYU3n53OoVqtz9BbRnja0LDMz02BPTf0r540tKw6MvS/ihSja+4P4aE6eKfkZ7tXQcnHYZPF72ti0nZ2dZghlZ2dno9NOTk6aHvpyuTzXNhIRUellbtzAxtINSUxM1JlXKpW4fPkykpKS0Lp1a0tXT1Zi6MZY+gf0BZ03Z2xGS5TXvhLf1I3B8jINIMefekM3Jjb2aGyZsXt1aM+bWmaqLE9c/nfvFf3hkPSHuTEUdBGHUsoPiUQCLy8vs4Is4nRJP/FmDolEounFk5cbzQmCgOTkZJ0gjX7QRn8+LS0NWVlZePLkCZ48eWJ2+8T3zcvLC25ubpqh1UxNOzk5wdHREY6OjrCzsyvy91EQBGRlZeHFixc5hvwyNJ2YmJgj6JKampqvuqVSKby8vMy+b4e3tzd7MFGxJJFINEMohoSE5Fo+KysLz549MxiwMRTIycrK0gyfcufOHbPbJZVKdXpCOjk56QxfoT/Gt9grSjz2kEgkOoEJqVSqc0ylPQa1obyCBlRK29Xb2sMAGhtapCiWGxsCpSQd+4ljvOsPY2gsz9TJ9LwmsZevdkDFWHDF2LKSNqQmB9+wHrlcbrBHb27T5pYVv/sNBV6IiIgo/6wyfJlarcaHH36IihUr4tNPPy3q6guMPWVySkxMRNmyZXWCF1S6iVeDGgvcGAvmFHQd8YSAoSvvjOUZuiGZoaR/xZqxm3unp6drTkAXxr7u4eEBLy8vnWQqyOLu7s4/QlYm3rvEUPDGUL7+BQr5JZFINAEaMdnb2xscLkt72CwxUG7sHhvimNni1ZdiEucL41BBKpXC09NTs497e3sb3ee1e22VpJOARNYgCAJSUlKM9r4RAzfPnj1DSkoKXrx4gZSUlFJ7EtXYsUVeH8ULUEx9dxo6ya9UKpGZmYmsrCyzHkva+2DO2PWmjlFMPd/clhl7zQ3llSZSqVTn5sfm3AvA3DL6eeJxg34yli/+RuvfG8RQEpdp3yzYWO+S3PJyK1vQ6bySSCQGe98YmhfzxJtni8ne3j7HEKnGlmsHTmxsLH6dLREREeVBsRm+zJgbN26gZcuWiImJsUb1BcKgTE7Jyclwd3c3u3xuB/q5zeeWtP8UFvY64pWhosKYFv+s5HYVn6lH/Tztq/7079Vhat7YMjJOIpGYHBJJP+CinTw8PBhgeQUolUqdYekSEhKQlJSE5ORkzdBq4rR+XlpaWrH5DDo5OeXYxw1NawdcxGl3d3cGWIiKCUEQoFAodII0KSkpUCgUOsMZGXrUD/LqnyzX7q2rfxynfzynP1RMQR9L4vBf2dnZmgBNbsNR5XWoqvxsqyD3ZiuJtP8D6J84z2+ytbXVCaKI0/rzxqb153nSnYiIiKjkKDbDlxnz77//lrohB15lLi4uuHv3rllBFf2gBhV/YsDI0PAhxoYeMTZtbp6xoUpMXXlnLM/Uzbf1b9Bt6EbehvK0T0A7OTlxnyaT5HI5/Pz84Ofnl6/1lUqlpreW9o1ZxWntIKyhXmASicTk/RBsbGw0V2GKV2LqTzs7O/PEEFEpIZFI4OTkBCcnJ/j7+1u7Oa808RjE0dHR2k0BAKPDBec21K/+clPHRfldlp+hfE2V4bEbEREREVmLxc+ujB8/XmdeEATExMRg9+7dGDJkiKWrpyIilUoRFBRk7WaQhUgkEs1JAwcHB2s3h+iVI159y96ZRERkSeLxHhERERERWY7Fj7jPnz+vMy+VSuHj44P58+fj3XfftXT1RERERERERERERERExYLFgzIHDx60dBVERERERERERERERETFHu+4S0REREREREREREREVASsNmDwlClTEBsbi9WrV1urCURERERERERERERUCqlUKiiVSms3g0oRuVwOmUxW4O1YLSjz+PFjPHz40FrVExEREREREREREVEpIwgCYmNjkZSUZO2mUCnk7u4OPz8/SCSSfG/DakGZNWvWWKtqIiIiIiIiIiIiIiqFxICMr68vHB0dC3TynEgkCAIUCgXi4uIAAP7+/vneltWCMkREREREREREREREhUWlUmkCMl5eXtZuDpUyDg4OAIC4uDj4+vrmeyizIgnKpKWl4fDhw3jw4AGysrJ0lo0dO7YomkBEREREREREREREpZh4DxlHR0crt4RKK3HfUiqVxTcoc/78eXTu3BkKhQJpaWnw9PTE8+fP4ejoCF9fXwZliIiIiIiIiIiIiKjQcMgyspTC2LekhdAOkz7++GN07doVCQkJcHBwwN9//4379++jQYMG+O677yxdPRERERERERERERERUbFg8Z4yFy5cwIoVKyCTySCTyZCZmYmKFSvi22+/xZAhQ9CrVy9LN4GIiIio4AQBUKuB7GxApXr5KCb9eUHIfz1SKSCTATY2Lx+1k6E8XgFGRERERJYmCEBWFpCZqXvcq52USsP54rGxRPJfMjQvlQJy+ctka/syGZqWy3kMTFRI7t27h+DgYJw/fx5169Yt0rolEgm2bduGHj16FGm9xYHFgzJyuVzTpadMmTJ48OABqlWrBjc3Nzx48MDS1RMRkT5BeHkCOSvr5UFzVpbutLE8pfLlCWlzknjyWnteKn2ZJJL/ps2Zl8n+OzDXPkA3J48nrEuu7OyXf/gyMsx7LMxlWVnGgy7FkURiOoCjvUw/zxLLDH3uDAWp9POMldFO4veJudP5Waew1xeEnK+TmPTnTZWRy/97FJMl56UW71BPRERE+SUIL/+fpae/PIZNTzedcitj7vKCXHhU2GxsXv4HtLMDHB1zT05OxvONJQcH/p+kIhUeHo41a9bkyL916xYqV66ss9zGxgaBgYHo1asXZsyYAScnJ4PbvHPnDj7//HMcPnwYCQkJ8Pb2RoMGDTBv3jxUrVoVgYGBiImJgbe3t+6K4udd+1F/2sIB0tyerxhQ0jdgwACsX79eM79161YsXrwY58+fh0qlQsWKFfH2229j9OjR8PT0tFj7TbF4UKZevXo4c+YMqlatilatWmHatGl4/vw51q1bh1q1alm6erI28UBBPMErJvGkl7F5c/PMXU//ZLKhE8a5zQuC7slicTovedonWsSTH+bO52cd7fmCTOvP86DEPGr1y31PPPFriSTu84byTQVbXiXawRpDV1sZmi+qPBsb3QBUbkn7+8QY7ZPC+t9nxqZVqv8Cb6aSePWboZSVZX4AJSMj9zIqVdHtI4VB+/tdJsv/CW3xfRGDQCpV7q+F+Fv7/ze0JCoUUmnuQZy8BHps9P52mBuU05839h1nLDhWUsqYU1b8DRC/Y8QgqKk8Sy9/lR8ZuMyf/AbCtecB4xcL8H+KZYnvg6HeEPp5hsoYOqEnTpvK019mirF9wNL52sfT2sfMhqb1j6kzM3UDH9qPhvLEx+IQINE/Z2Eoid+b2p9nwPC82Cvd0MWC+sT9SqEAEhMt8/wkkpyBG2dn04Ecc5K9/X//CfN5k/AiIwj/7d+57dvG9vPCLpvbxXKenkD//v8dt5jL1G9IXr8TcltmaLkgAKmp6NiiBSLmzdP5fPio1cC//wIpKejYvDki5syBMjsbR0+fxvAvvkDa48dYNn36f9v5/8esrCy069oVocHBiJ43D/7e3ngUG4s9x44h+fRpQKGADICfIABPnvy3vrnfL7Vrv9yPLahjx46IiIiAUqnE0aNHMXz4cKSlpWHZsmWaMvv370eNGjU08w4ODprpzz//HHPnzsXHH3+M2bNnIyAgALdu3cLy5cuxbt06fPTRRxZtvzEWD8rMnj0bL168AAB8/fXXGDJkCD744ANUrlwZERERlq6eikpiIlCvnuGgCJU+xoJL5gZ4tP/MmhvUym1aIsn9qmVzr3AWDwQNHSToHwiYKlMcDpLNJV5lpN3jRD+YoP/emQoa6Ccg9+CnoTzxhLSpQID2vKHXvLR+F2m/5tqvX2kkk73842JnZ/yxMJdpn0w2pydDboGywmAoUJPbfG7TBcnLbbkhhl4j/TxjZbR/H8ydzs86llhffP+MDXVnznB42r85pgKl+Z039J6p1aX3+7Ok0j5ZRcVDYQeqxO9AU0HL/EznJ/CR27L8bKcoiK9nfnp/FkZP0dzKG3qP8/I+GvutMPU7YmyZOYEVQ3lUPNnbv+zVoZ0M5eWWzFlHPF4uimNgkSD8tz/qX3yYmfkyMGNOSkvLOW8oZWT8V6+YZylSae4X9mm/3sYSkHPe2HG7qWN6Q5//kqZCBaBHDyAlRZMlCAIU4vtaxBzt7c2/MXxGBuwA+Gm/j8B/zyUrC3YSCfz+fx/p36IFDnbogO379mHZhAk5Nnf1xg3cefQIB5YuRQV/fwBABS8vvCEGMLKzce/JEwR3747z69ejbkgIAGDn4cOY8MMPeBQXh9dq1kR4WBjCZ8xA4oEDcHdxQeSvv2Lc999j08aNGPfJJ3j48CHefPNNREREwP//6zl9+jSmTJmC8+fPQ6lUom7duliwYAHq16+fp9fPzs4Ofn5+AID+/fvj4MGD2L59u05QxsvLS1NG26lTpzB79mwsXLhQJ/gSFBSEdu3aISkpKU9tKUwWD8o0bNhQM+3j44M9e/ZYukqyBpkMuH/fvLJ2dv91MdX+sbHkvPaVU7mdRDY2Dxi/ejEvV6NrX2GQ1wNgc/JMXaGU12ljP77i88jMLJz951Uhl/93EticJO7H+UmmDuZK83i82gEc/YCNqeHZjM1bOk8MJKnVeX+u4vdKYdG/+j23q+MNDR+nHdwwFUQxN0/cn/WvsH8Vib9Jcrm1W0KlkfaJPksEfcTp3IJw5gTuDF3EYSw4VhzKFNb2tE+uaB9TGpo2N6+gy0vzo7m/r2JZ9lQsPvieWIdEkvtID9o9iQ2dRBanzV2uz1Dgz1gw0NyyecnTfs659STVXyYeC4sBEVPThvLs7ErP/zljxH1MLn/Zc8XSVCrTQRv9lJpqflmFQrcutfq/XlEliX6P6Nz2dUPT+S2bW89Ie/uXvWX8/TX/nxRpaXCuWLGIXhxdqbduwUl/vzX2/eTo+PK4uWxZw999zs4v988KFTT5Dr6+UAoCULFijnV8nJwglUqx5eJFjGvWDDLxv7X2d6uz88vHypWBWrVw7/59vD15Mj4aMwbDhw7F+X/+wcRJk16WqVMH8PAALl2CIjMT3/3wA9atWwepVIqBAwdi4sSJ2LBhAwDgxYsXGDJkCBYtWgQAmD9/Pjp37oxbt27BxcUl36+ng4MDlGb+zm/YsAHOzs748MMPDS53d3fPdzsKimc5qHA4OQEnT+YeJGGX8pJF7KZqThDH3ICPUmleECuvAS9BMO/khjnT4olP/R///D6KnwUOc2F54pWI9vbWbkneGeo5ZCgZKmcokKwdYM4tT/8qHCJ6tYhXaFp46AGiEkPs4VHUASltpoKWeZ0uaO/AgpS1xDLtXiOmrgA39zG/ZfKzrYK8p+bcnyy3e5eJx8qmRjXITz7/51BpI5MBLi4vU2ETA8emLuQzdFGffo9EU8PBiXl56R2o/2gqqFjcz+1lZAB37wJeXv+dG7Bkb6fc+Pu/PG9qDkdH7IqOhnOVKpqsTp06YfPmzS9n7O1fPj8fHwAve4JERUejTdu2LwNResq6u2PRokX49NNPMWPuXDRs2BCtWrXCgAEDUFEMUomv0f9fFLl89WqEhIRg3vz5AICQmjVx+do1zJo1S+f3WKlUYvny5ahUqRIAYPTo0fjqq680dbdu3VqnLStWrICHhwcOHz6MsLAw814PPadOnUJUVBTatGmjk9+0aVNItX6Ljh49inr16uHWrVuoWLEi5MXw4kaLBGU6duyIadOmoWnTpibLvXjxAkuXLoWzszNGjRpliaZQUZHJgMaNrd0KKmwSyX8H2iXxJDdRSSKR5H3MWyIiIip82oEAKn54zEREJZlU+t+IAFRkHB0dkZqaarW686JVq1Y6Q3M56QV0du3aBWdnZ2RnZ0OpVKJ79+5YvHix0e2NGjUKgwcPxsGDB3Hy5Els3rwZs2fPxs6dO9GuXbsc5W/cuIFGjRrp5DU2cM7X0dFRE5ABAH9/f8TFxWnm4+LiMG3aNBw4cABPnz6FSqWCQqHAgwcPcn8R8vh8N23ahGrVqmnmAwMDAbwcts7soeOKmEWCMr1790afPn3g4uKCbt26oWHDhggICIC9vT0SExNx9epVHDt2DHv27EFYWBjmzZtniWYQERERERERERER0StMIpHkCG4UV05OTqhcubLR5WLQRi6XIyAgwKxeIOI5+m7dumHmzJno0KEDZs6caTAoYyiQIRgYbk2/XolEolMuPDwcz549w8KFC1GhQgXY2dnh9ddfR1Ye71lpzvMNDAw0+JpVrVoVx44dg1KpLHa9ZSwSlBk2bBgGDRqELVu2YNOmTfjf//6nuXGORCJB9erV0aFDB5w9exYh/38DISIiIiIiIiIiIiIiMiy3oE1uJBIJQkNDcfz4cYPLQ0NDc9wT/syZM3mu5+jRo1i6dCk6d+4MAHj48CGeP3+e5+0U5Pn2798fixYtwtKlS/HRRx/lWJ6UlGS1+8pY7J4ytra26N+/P/r37w8ASE5ORnp6Ory8vIpdZIqIiIiIiIiIiIiIqLS4cOECpk+fjkGDBqF69eqwtbXF4cOHsXr1akyaNMngOiNHjsT333+PSZMmYdiwYbhw4QIiIyMBIE9DgVWuXBnr1q1Dw4YNkZKSgk8++QQODg6F8bTM1qRJE3z66aeYMGECHj9+jJ49eyIgIAC3b9/G8uXL8eabbxoM1hSFIhsk183NDX5+fgzIEBERERERERERERFZULly5RAUFIQZM2agSZMmqF+/Pn744QfMmDEDn3/+ucF1goODsWXLFkRHR6N27dpYtmyZpqxdHu6FtHr1aiQmJqJevXoYNGgQxo4dC19f30J5Xnkxd+5cREVF4eTJk+jQoQNq1KiB8ePHo3bt2hgyZEiRt0ckEQwNCkcmpaSkwM3NDcnJyXB1dbV2c4iIiIiIiIiIiIheeRkZGbh79y6Cg4Nhb29v7eaUCrNmzcLy5cvx8OFDazelWDC1j5kbN7DY8GVERERERERERERERFRyLF26FI0aNYKXlxf++usvzJs3D6NHj7Z2s0oVBmWIiIiIiIiIiIiIiAi3bt3CzJkzkZCQgPLly2PChAmYPHmytZtVqjAoQ0REREREREREREREWLBgARYsWGDtZpRq0qKoJCkpCStXrsTkyZORkJAAADh37hweP35cFNUTERERERERERERERFZncWDMhcvXkTVqlUxd+5cfPfdd0hKSgIAbNu2Lc/dno4cOYKuXbsiICAAEokE27dv11keHh4OiUSik1577TWdMpmZmRgzZgy8vb3h5OSEbt264dGjRwV5ikRERERERERERERERLmyeFBm/PjxCA8Px61bt2Bvb6/J79SpE44cOZKnbaWlpaFOnTpYsmSJ0TIdO3ZETEyMJu3Zs0dn+bhx47Bt2zb8/PPPOHbsGFJTUxEWFgaVSpW3J0ZERERERERERERERJQHFr+nzOnTp7FixYoc+WXLlkVsbGyettWpUyd06tTJZBk7Ozv4+fkZXJacnIxVq1Zh3bp1aNu2LQBg/fr1CAwMxP79+9GhQ4c8tYeIiIiIiIiIiIiIiMhcFu8pY29vj5SUlBz5N27cgI+PT6HXd+jQIfj6+qJq1aoYMWIE4uLiNMvOnj0LpVKJ9u3ba/ICAgJQs2ZNHD9+3Og2MzMzkZKSopOIiIiIiIiIiIiIiIjywuJBme7du+Orr76CUqkEAEgkEjx48ACfffYZ3nrrrUKtq1OnTtiwYQMOHDiA+fPn4/Tp02jdujUyMzMBALGxsbC1tYWHh4fOemXKlDHZa2fOnDlwc3PTpMDAwEJtNxERERERERERERERlX4WD8p89913ePbsGXx9fZGeno4WLVqgcuXKcHFxwaxZswq1rr59+6JLly6oWbMmunbtit9++w03b97E7t27Ta4nCAIkEonR5ZMnT0ZycrImPXz4sFDbTUREREREREREREREQGRkJNzd3a3dDIuxeFDG1dUVx44dw9atW/HNN99g9OjR2LNnDw4fPgwnJyeL1u3v748KFSrg1q1bAAA/Pz9kZWUhMTFRp1xcXBzKlCljdDt2dnZwdXXVSUREREREREREREREhSE8PBwSiSRHun37do7lcrkcFStWxMSJE5GWlmZyu7dv38bQoUNRrlw52NnZITg4GP369cOZM2cKtf1BQUFYuHBhoW7TFO3XyMXFBQ0bNkR0dLRm+Zdffmnw9dy/f7+mTEpKCj7//HOEhobC3t4efn5+aNu2LaKjoyEIgsXabmOxLetp3bo1WrduXVTVAQDi4+Px8OFD+Pv7AwAaNGgAuVyOffv2oU+fPgCAmJgYXL58Gd9++22Rto2IiIiIiIiIiIiISNSxY0dERETo5Gnfl11crlQqcfToUQwfPhxpaWlYtmyZwe2dOXMGbdq0Qc2aNbFixQqEhobixYsX2LFjByZMmIDDhw9b9PnoU6lUkEgkkEoLp69IREQEOnbsiKSkJMybNw+9e/fGsWPH8PrrrwMAatSooROEAQBPT08AQFJSEt58800kJydj5syZaNSoEWxsbHD48GF8+umnaN26tcV661i8p8zYsWOxaNGiHPlLlizBuHHj8rSt1NRUXLhwARcuXAAA3L17FxcuXMCDBw+QmpqKiRMn4sSJE7h37x4OHTqErl27wtvbGz179gQAuLm5YdiwYZgwYQL+/PNPnD9/HgMHDkStWrXQtm3bgj5VIiIiIiIiIiIiIipOBAFIS7NOymNvCzs7O/j5+ekkmUyWY3lgYCD69++PAQMGYPv27UaetoDw8HBUqVIFR48eRZcuXVCpUiXUrVsX06dPx44dOzRlL126hNatW8PBwQFeXl547733kJqaqlkeHh6OHj164LvvvoO/vz+8vLwwatQozX3kW7Zsifv37+Pjjz/W9EgB/huGbNeuXahevTrs7Oxw//59JCYmYvDgwfDw8ICjoyM6deqkGe0qL9zd3eHn54fQ0FAsX74c9vb22Llzp2a5jY1NjtfT1tYWADBlyhTcu3cPJ0+exJAhQ1C9enVUrVoVI0aMwIULF+Ds7Jzn9pjL4kGZrVu34o033siR37RpU2zZsiVP2zpz5gzq1auHevXqAQDGjx+PevXqYdq0aZDJZLh06RK6d++OqlWrYsiQIahatSpOnDgBFxcXzTYWLFiAHj16oE+fPnjjjTfg6OiIX3/9VWfnJiIiIiIiIiIiIqJSQKEAnJ2tkxQKiz41BwcHTWBE34ULF3DlyhVMmDDBYM8UsReIQqFAx44d4eHhgdOnT2Pz5s3Yv38/Ro8erVP+4MGD+Pfff3Hw4EGsWbMGkZGRiIyMBABER0ejXLly+OqrrxATE4OYmBjNegqFAnPmzMHKlStx5coV+Pr6Ijw8HGfOnMHOnTtx4sQJCIKAzp07G30u5pDL5bCxsTFrG2q1Gj///DMGDBiAgICAHMudnZ1hY2O5QcYsPnxZfHw83NzccuS7urri+fPnedpWy5YtTY7ltnfv3ly3YW9vj8WLF2Px4sV5qpuIiIiIiIiIiIiIyFJ27dql00OjU6dO2Lx5s8Gyp06dQlRUFNq0aWNwudjzJDQ01GSdGzZsQHp6OtauXau5B/ySJUvQtWtXzJ07V3Mvdg8PDyxZsgQymQyhoaHo0qUL/vzzT4wYMQKenp6QyWRwcXGBn5+fzvaVSiWWLl2KOnXqaNq1c+dO/PXXX2jatKmmDYGBgdi+fTt69+6d28uUQ2ZmJubNm4eUlBSd1+PSpUs6r2f16tVx6tQpPH/+HImJibm+NpZi8aBM5cqV8fvvv+eIrP3222+oWLGipasnIiIiIiIiIiIioleVoyOgNRRXkdedB61atdK5P4wYJBGJQZvs7GwolUp0797daOcDsXODOJSYMdeuXUOdOnV06nrjjTegVqtx48YNTVCmRo0aOqNN+fv749KlS7k+J1tbW9SuXVunPhsbGzRp0kST5+XlhZCQEFy7di3X7Wnr168fZDIZ0tPT4ebmhu+++w6dOnXSLA8JCdEZzszOzg6A+a+NpVg8KDN+/HiMHj0az549Q+vWrQEAf/75J+bPn4+FCxdaunoiIiIiIiIiIiIielVJJIBecKO4cnJyQuXKlY0uF4M2crkcAQEBkMvlRstWrVoVwMsgSN26dY2WEwTBaHBCO1+/LolEArVabXS7IgcHB53tGBsJy1Q7jFmwYAHatm0LV1dX+Pr65lhua2tr8PX08fGBh4dHnoNAhcXi95R59913MX/+fKxatQqtWrVCq1atsH79eixbtgwjRoywdPVERERERERERERERCWeGLSpUKGCyYAMANStWxfVq1fH/PnzDQZPkpKSALwc0uvChQtIS0vTLPvrr78glUo1gR1z2NraQqVS5VquevXqyM7OxsmTJzV58fHxuHnzJqpVq2Z2fQDg5+eHypUrGwzImCKVStG3b19s2LABT548ybE8LS0N2dnZedpmnuq32Ja1fPDBB3j06BGePn2KlJQU3LlzB4MHDy6KqomIiIiIiIiIiIiIXikSiQQRERG4efMmmjdvjj179uDOnTu4ePEiZs2ahe7duwMABgwYAHt7ewwZMgSXL1/GwYMHMWbMGAwaNEgzdJk5goKCcOTIETx+/NjkveSrVKmC7t27Y8SIETh27Bj++ecfDBw4EGXLltW0qSjMnj0bgYGBaNKkCdauXYurV6/i1q1bWL16NerWrYtUCw55VyRBGZGPj4/OjXWIiIiIiIiIiIiIiKjwNW7cGGfOnEGlSpUwYsQIVKtWDd26dcOVK1c0txZxdHTE3r17kZCQgEaNGuHtt99GmzZtsGTJkjzV9dVXX+HevXuoVKkSfHx8TJaNiIhAgwYNEBYWhtdffx2CIGDPnj259v4pTB4eHvj7778xcOBAzJw5E/Xq1UOzZs2wceNGzJs3D25ubharWyIYG8StkDx9+hQTJ07En3/+ibi4uBxjxpnTpam4SUlJgZubG5KTk+Hq6mrt5hARERERERERERG98jIyMnD37l0EBwfD3t7e2s2hUsjUPmZu3MDG0o0MDw/HgwcPMHXqVPj7++f5Zj1ERERERERERERERESlgcWDMseOHcPRo0dRt25dS1dFRERERERERERERERUbFn8njKBgYE5hiwjIiIiIiIiIiIiIiJ61Vg8KLNw4UJ89tlnuHfvnqWrIiIiIiIiIiIiIiIiKrYsPnxZ3759oVAoUKlSJTg6OkIul+ssT0hIsHQTiIiIiIiIiIiIiIiIrM7iQZmFCxdaugoiIiIiIiIiIiIiIqJiz+JBmSFDhli6CiIiIiIiIiIiIiIiomLP4veUAYB///0XX3zxBfr164e4uDgAwO+//44rV64URfVERERERERERERERERWZ/GgzOHDh1GrVi2cPHkS0dHRSE1NBQBcvHgR06dPt3T1RERERERERERERERExYLFgzKfffYZZs6ciX379sHW1laT36pVK5w4ccLS1RMRERERERERERERkZ579+5BIpHgwoULRV63RCLB9u3bi7ze4sDiQZlLly6hZ8+eOfJ9fHwQHx9v6eqJiIiIiIiIiIiIiIq18PBwSCSSHOn27ds5lsvlclSsWBETJ05EWlqa0W3euXMH/fr1Q0BAAOzt7VGuXDl0794dN2/eBAAEBgYiJiYGNWvWLJLnaK6uXbuibdu2BpedOHECEokE3bp1M/h6aad79+4BAI4fPw6ZTIaOHTsW4bMwzuJBGXd3d8TExOTIP3/+PMqWLWvp6omIiIiIiIiIiIiIir2OHTsiJiZGJwUHB+dYfufOHcycORNLly7FxIkTDW4rKysL7dq1Q0pKCqKjo3Hjxg1s2rQJNWvWRHJyMgBAJpPBz88PNjY2RfL8zDVs2DAcOHAA9+/fz7Fs9erVqFu3LqKionRep3LlyuGrr77SyQsMDNSsM2bMGBw7dgwPHjwo6qeTg8WDMv3798ekSZMQGxsLiUQCtVqNv/76CxMnTsTgwYMtXT0RERERERERERERvaIEQUBaVppVkiAIeWqrnZ0d/Pz8dJJMJsuxPDAwEP3798eAAQOMDgF29epV3LlzB0uXLsVrr72GChUq4I033sCsWbPQqFEjAIaHL9u5cyeqVKkCBwcHtGrVCmvWrIFEIkFSUhIAIDIyEu7u7ti7dy+qVasGZ2dnTbBIdPr0abRr1w7e3t5wc3NDixYtcO7cObNfh7CwMPj6+iIyMlInX6FQYNOmTRg2bBicnZ1zvE4uLi458tLS0vDLL7/ggw8+QFhYWI5tWoPFQ2CzZs1CeHg4ypYtC0EQUL16dahUKvTv3x9ffPGFpasnIiIiIiIiIiIioleUQqmA8xxnq9SdOjkVTrZOFtu+g4MDlEqlwWU+Pj6QSqXYsmULxo0bpxPcMebevXt4++238dFHH2H48OE4f/68wZ44CoUC3333HdatWwepVIqBAwdi4sSJ2LBhAwDgxYsXGDJkCBYtWgQAmD9/Pjp37oxbt27BxcUl13bY2Nhg8ODBiIyMxLRp0yCRSAAAmzdvRlZWFgYMGJDrNkSbNm1CSEgIQkJCMHDgQIwZMwZTp07VbNMaLN5TRi6XY8OGDbh16xZ++eUXrF+/HtevX8e6devM2hGIiIiIiIiIiIiIiEq7Xbt2wdnZWZN69+5ttOypU6cQFRWFNm3aGFxetmxZLFq0CNOmTYOHhwdat26Nr7/+Gnfu3DG6zeXLlyMkJATz5s1DSEgI3nnnHYSHh+cop1QqsXz5cjRs2BD169fH6NGj8eeff2qWt27dGgMHDkS1atVQrVo1rFixAgqFAocPHzb7tXj33Xdx7949HDp0SJO3evVq9OrVCx4eHmZvZ9WqVRg4cCCAl8O/paam6rTVGopssLiKFSuiYsWKRVUdEREREREREREREb3iHOWOSJ2carW686JVq1ZYtmyZZt7JSbeXjRi0yc7OhlKpRPfu3bF48WKj2xs1ahQGDx6MgwcP4uTJk9i8eTNmz56NnTt3ol27djnK37hxQzO0mahx48Y5n5ejIypVqqSZ9/f3R1xcnGY+Li4O06ZNw4EDB/D06VOoVCooFIo83c8lNDQUTZs2xerVq9GqVSv8+++/OHr0KP744w+zt3Hjxg2cOnUK0dHRAF72wOnbty9Wr16Ntm3bmr2dwmbxoMzbb7+Nhg0b4rPPPtPJnzdvHk6dOoXNmzdbuglERERERERERERE9AqSSCQWHUKsMDk5OaFy5cpGl4tBG7lcjoCAAMjl8ly36eLigm7duqFbt26YOXMmOnTogJkzZxoMygiCkGNYL0P3xdGvVyKR6JQLDw/Hs2fPsHDhQlSoUAF2dnZ4/fXXkZWVlWt7tQ0bNgyjR4/Gjz/+iIiICFSoUMFozyBDVq1ahezsbJQtW1bn+cjlciQmJuapx01hsvjwZYcPH0aXLl1y5Hfs2BFHjhyxdPVERERERERERERERCWeGLSpUKGCWQEZfRKJBKGhoUhLSzO4PDQ0FKdPn9bJO3PmTJ7rOXr0KMaOHYvOnTujRo0asLOzw/Pnz/O8nT59+kAmkyEqKgpr1qzB0KFDzb4XTHZ2NtauXYv58+fjwoULmvTPP/+gQoUKmvvfWIPFgzKpqamwtbXNkS+Xy5GSkmLp6omIiIiIiIiIiIiIXikXLlxA9+7dsWXLFly9ehW3b9/GqlWrsHr1anTv3t3gOiNHjsT169cxadIk3Lx5E7/88gsiIyMBwOxgCABUrlwZ69atw7Vr13Dy5EkMGDAADg4OeX4Ozs7O6Nu3L6ZMmYInT54YvL+NMbt27UJiYiKGDRuGmjVr6qS3334bq1atynN7CovFgzI1a9bEpk2bcuT//PPPqF69uqWrJyIiIiIiIiIiIiJ6pZQrVw5BQUGYMWMGmjRpgvr16+OHH37AjBkz8PnnnxtcJzg4GFu2bEF0dDRq166NZcuWacra2dmZXffq1auRmJiIevXqYdCgQRg7dix8fX3z9TyGDRuGxMREtG3bFuXLlzd7vVWrVqFt27Zwc3PLseytt97ChQsXcO7cuXy1qaAkgqFB4QrRzp078dZbb6F///5o3bo1AODPP//Exo0bsXnzZvTo0cOS1VtESkoK3NzckJycDFdXV2s3h4iIiIiIiIiIiOiVl5GRgbt37yI4OBj29vbWbk6pMGvWLCxfvhwPHz60dlOKBVP7mLlxAxtLN7Jbt27Yvn07Zs+ejS1btsDBwQG1a9fG/v370aJFC0tXT0REREREREREREREZli6dCkaNWoELy8v/PXXX5g3bx5Gjx5t7WaVKhYPygBAly5d0KVLl6KoioiIiIiIiIiIiIiI8uHWrVuYOXMmEhISUL58eUyYMAGTJ0+2drNKFYsHZR4+fAiJRIJy5coBAE6dOoWoqChUr14d7733nqWrJyIiIiIiIiIiIiIiMyxYsAALFiywdjNKNamlK+jfvz8OHjwIAIiNjUXbtm1x6tQpTJkyBV999ZWlqyciIiIiIiIiIiIiIioWLB6UuXz5Mho3bgwA+OWXX1CrVi0cP34cUVFRiIyMtHT1RERERERERERERERExYLFgzJKpRJ2dnYAgP3796Nbt24AgNDQUMTExFi6eiIiIiIiIiIiIiIiomLB4kGZGjVqYPny5Th69Cj27duHjh07AgCePHkCLy8vS1dPRERERERERERERERULFg8KDN37lysWLECLVu2RL9+/VCnTh0AwM6dOzXDmhEREREREREREREREZV2Fg/KtGzZEs+fP8fz58+xevVqTf57772H5cuX52lbR44cQdeuXREQEACJRILt27frLBcEAV9++SUCAgLg4OCAli1b4sqVKzplMjMzMWbMGHh7e8PJyQndunXDo0eP8v38iIiIiIiIiIiIiIiIzGHxoAzwMlhy9uxZrFixAi9evAAA2NrawtHRMU/bSUtLQ506dbBkyRKDy7/99lt8//33WLJkCU6fPg0/Pz+0a9dOUycAjBs3Dtu2bcPPP/+MY8eOITU1FWFhYVCpVPl/gkREREREREREREREVGCRkZFwd3e3djMsxuJBmfv376NWrVro3r07Ro0ahWfPngF4GUCZOHFinrbVqVMnzJw5E7169cqxTBAELFy4EJ9//jl69eqFmjVrYs2aNVAoFIiKigIAJCcnY9WqVZg/fz7atm2LevXqYf369bh06RL2799vtN7MzEykpKToJCIiIiIiIiIiIiKiwhAeHg6JRJIj3b59O8dyuVyOihUrYuLEiUhLSzO53du3b2Po0KEoV64c7OzsEBwcjH79+uHMmTOF2v6goCAsXLiwULdpyNOnTyGXy7F+/XqDy0eOHInatWsjKCjI4OspppYtW2rWee+99yCTyfDzzz9bvP1AEQRlPvroIzRs2BCJiYlwcHDQ5Pfs2RN//vlnodVz9+5dxMbGon379po8Ozs7tGjRAsePHwcAnD17FkqlUqdMQEAAatasqSljyJw5c+Dm5qZJgYGBhdZuIiIiIiIiIiIiIqKOHTsiJiZGJwUHB+dYfufOHcycORNLly412fHhzJkzaNCgAW7evIkVK1bg6tWr2LZtG0JDQzFhwoSieEo6VCoV1Gp1gbZRpkwZdOnSBRERETmWpaen4+eff8awYcNw+vRpzWu4detWAMCNGzc0edHR0QAAhUKBTZs24ZNPPsGqVasK1DZzWTwoc+zYMXzxxRewtbXVya9QoQIeP35caPXExsYCePmmaCtTpoxmWWxsLGxtbeHh4WG0jCGTJ09GcnKyJj18+LDQ2k1EREREREREREREliEIQFqadZIg5K2tdnZ28PPz00kymSzH8sDAQPTv3x8DBgzIcd/1/563gPDwcFSpUgVHjx5Fly5dUKlSJdStWxfTp0/Hjh07NGUvXbqE1q1bw8HBAV5eXnjvvfeQmpqqWR4eHo4ePXrgu+++g7+/P7y8vDBq1CgolUoAL+8rf//+fXz88ceanijAf8OQ7dq1C9WrV4ednR3u37+PxMREDB48GB4eHnB0dESnTp1w69Yts1+nYcOG4eDBg7h3755O/pYtW5CRkYGBAwfCx8dH8xp6enoCAHx9fXPkbd68GdWrV8fkyZPx119/5dimJVg8KKNWqw3er+XRo0dwcXEp9PrEN1wkCEKOPH25lbGzs4Orq6tOIiIiIiIiIiIiIqLiTaEAnJ2tkxQKyz43BwcHTWBE34ULF3DlyhVMmDABUmnOMIB4zxaFQoGOHTvCw8MDp0+fxubNm7F//36MHj1ap/zBgwfx77//4uDBg1izZg0iIyMRGRkJAIiOjka5cuXw1VdfaXqiiBQKBebMmYOVK1fiypUr8PX1RXh4OM6cOYOdO3fixIkTEAQBnTt3Nvpc9HXu3Bl+fn6a+kWrV69Gjx494OXlZdZ2AGDVqlUYOHAg3Nzc0LlzZ4M9cAqbxYMy7dq10xlLTiKRIDU1FdOnT0fnzp0LrR4/Pz8AyNHjJS4uTtN7xs/PD1lZWUhMTDRahoiIiIiIiIiIiIioqO3atQvOzs6a1Lt3b6NlT506haioKLRp08bgcrHnSWhoqMk6N2zYgPT0dKxduxY1a9ZE69atsWTJEqxbtw5Pnz7VlPPw8MCSJUsQGhqKsLAwdOnSRXN7Ek9PT8hkMri4uGh6ooiUSiWWLl2Kpk2bIiQkBE+ePMHOnTuxcuVKNGvWDHXq1MGGDRvw+PFjo71+9MlkMgwePBiRkZEQ/r870t27d3H48GEMGzbMrG2Ir9Hff/+Nvn37AgAGDhyIiIiIAg+xlhuLB2W+//57HD58GNWrV0dGRgb69++PoKAgPH78GHPnzi20eoKDg+Hn54d9+/Zp8rKysnD48GE0bdoUANCgQQPI5XKdMjExMbh8+bKmDBERERERERERERGVDo6OQGqqdZKjY97a2qpVK1y4cEGTFi1apLNcDNrY29vj9ddfR/PmzbF48WKD2xKDFbmNInXt2jXUqVMHTk5Omrw33ngDarUaN27c0OTVqFFDZyg1f39/xMXF5fqcbG1tUbt2bZ36bGxs0KRJE02el5cXQkJCcO3atVy3Jxo2bBju37+PAwcOAHjZS6ZcuXJo27at2dtYtWoVOnToAG9vbwAve+CkpaVh//79Zm8jP2wsunUAZcuWxYULF/Dzzz/j7NmzUKvVGDZsGAYMGAAHB4c8bSs1NRW3b9/WzN+9excXLlyAp6cnypcvj3HjxmH27NmoUqUKqlSpgtmzZ8PR0RH9+/cHALi5uWHYsGGYMGECvLy84OnpiYkTJ6JWrVp5erOIiIiIiIiIiIiIqPiTSACteEOx5uTkhMqVKxtd3qpVKyxbtgxyuRwBAQGQy+VGy1atWhXAyyBI3bp1jZYzdWsP7Xz9uiQSiVk9ShwcHHS2Ixi50Y45tyHRVqVKFTRr1gwRERFo1aoV1qxZg6FDhxocqs0QlUqFtWvXIjY2FjY2Njr5q1atQvv27c1uS15ZNCijVCoREhKCXbt2YejQoRg6dGiBtnfmzBm0atVKMz9+/HgAwJAhQxAZGYlPP/0U6enp+PDDD5GYmIgmTZrgjz/+0Ll3zYIFC2BjY4M+ffogPT0dbdq0QWRkpE6Uj4iIiIiIiIiIiIioOMktaKOtbt26qF69OubPn4++ffvmCFYkJSXB3d0d1atXx5o1a5CWlqbpLfPXX39BKpVqAjvmsLW1NXhveX3Vq1dHdnY2Tp48qRm9Kj4+Hjdv3kS1atXMrg942Vvmgw8+QPfu3fHo0aM8xR/27NmDFy9e4Pz58zqxgevXr2PAgAGIj4/P071p8sKiw5fJ5XJkZmbmKcJlSsuWLSEIQo4k3tBHIpHgyy+/RExMDDIyMnD48GHUrFlTZxv29vZYvHgx4uPjoVAo8OuvvyIwMLBQ2kdEREREREREREREZG0SiQQRERG4efMmmjdvjj179uDOnTu4ePEiZs2ahe7duwMABgwYAHt7ewwZMgSXL1/GwYMHMWbMGAwaNChP92EPCgrCkSNH8PjxYzx//txouSpVqqB79+4YMWIEjh07hn/++QcDBw5E2bJlNW0yV+/evSGXyzFy5Ei0adMGQUFBZq+7atUqdOnSBXXq1EHNmjU16a233oKPjw/Wr1+fp7bkhcXvKTNmzBjMnTsX2dnZlq6KiIiIiIiIiIiIiIgANG7cGGfOnEGlSpUwYsQIVKtWDd26dcOVK1ewcOFCAICjoyP27t2LhIQENGrUCG+//TbatGmDJUuW5Kmur776Cvfu3UOlSpXg4+NjsmxERAQaNGiAsLAwvP766xAEAXv27DE5HJshjo6OeOedd5CYmIh3333X7PWePn2K3bt346233sqxTCKRoFevXli1alWe2pIXEsHYIG6FpGfPnvjzzz/h7OyMWrVq6dwwCACio6MtWb1FpKSkwM3NDcnJyXB1dbV2c4iIiIiIiIiIiIheeRkZGbh79y6Cg4Nhb29v7eZQKWRqHzM3bmDRe8oAgLu7u8GIExERERERERERERER0avE4kGZiIgIS1dBRERERERERERERERU7Fk8KCN69uwZbty4AYlEgqpVq+Y6rhwREREREREREREREVFpIrV0BWlpaXj33Xfh7++P5s2bo1mzZggICMCwYcOgUCgsXT0REREREREREREREVGxYPGgzPjx43H48GH8+uuvSEpKQlJSEnbs2IHDhw9jwoQJlq6eiIiIiIiIiIiIiF4hgiBYuwlUShXGvmXx4cu2bt2KLVu2oGXLlpq8zp07w8HBAX369MGyZcss3QQiIiIiIiIiIiIiKuXkcjkAQKFQwMHBwcqtodJIHP1L3Nfyw+JBGYVCgTJlyuTI9/X15fBlRERERERERERERFQoZDIZ3N3dERcXBwBwdHSERCKxcquoNBAEAQqFAnFxcXB3d4dMJsv3tiwelHn99dcxffp0rF27Fvb29gCA9PR0zJgxA6+//rqlq6cSTq0GsrMBpfLlo/Z0bo/mllGrX9YlCP8lU/PiNABIpYCNDSCTmZe0y8rlL+fFR+1pc5ZJLT74IFmaILzc/9RqQKXK+2N+1jFnXUP7uqnPQVGVFUkkuslQXm7LSto6UqnuY2HlWXLbVHKI30Xi94D+tKll+f0eKsi6eakDMP4ZzGsSf48LK8nl/yXteRsbfoYsTa1+eSyYlfXfo3bSztM/fjQ2bW6euH+Knzvx98+cPP1lgOHv4oI85pZkspKzTPt31ZD8LivIuqzTcu0R6R83as+buyy/2wBy7p+5PfK4iUwRz4eoVP89mjNdnMqa8x/P3DyJxPB5FvEzZU6SywFb2/+S/ryxPFNlC3BO9pUkHseI5+TMSdrn8HJLgPj96gdPT+DFizid90j/O9fYvHa+oWlzy1Hp5O7uDj8/vwJtw+JBmR9++AEdO3ZEuXLlUKdOHUgkEly4cAH29vbYu3evpaunIpKaCowZY/wPq6k/s6aWiX84KSeJJG9BnPwuy095YycV8nICwlIBh6IOcJhzwpCoNDI3qJRbMrecpcsDeQsyFtVjbkETc5ZR8WMocKMfvDE0n98yxtbTDxDl5c+n9ufG0EkbY3mG5sVjQ1PBE1N5hgItRETFhXii2VjwxthFfubM52edwp43lCcydWGkuXna/8lM/d6YSnkpX5RBDioZpFLdoI3+MZaxZG5Zc/63GFoGGP586J/LMJZXGAESY+sVDQkAfzg6+sLbW1nkQRL973btIKJ4obWp4KI55Qwt0/6PqH3hrf50bsnQOS/xwnbtxx07AF/fon1trU0ulxeoh4xIIhTBXY/S09Oxfv16XL9+HYIgoHr16hgwYECJHdcvJSUFbm5uSE5Ohqurq7WbUywkJQEeHkVXn7EggTmBBO1H8UtL+ySD9g+YoWntL3JjP3C5HdSJy83t3cN7k73a8nK1nTmP5lyxBxi+AsTYVSH5WZafbZnzRy23ZSV1nfxcRZ3f8kSGGLoK3ZzvFEPfMYX5nWasDvG7zNhnKq/J1J/T/PwhFS9A4W+89UkkgJ2d7hWw4rR+Lyb9aXPzxGn9q+NzC1ybWgaY/n439p1vqoypP+v6Qd38lCno8rxuwxhTn7vcPpP5XZd1WrY95l75nNuygqyr/XvBC7DI0gwFvApjurC3IR6PAeb1MDCVZ+iiSFPJWMAut4s3cstnwMxycutlnltPdPE/iqnjBFPHOeZeOCRO83seuH8fKF/e2q0oXsyNG1i8pwwAODg4YMSIEUVRFVmJoyPwzTe5/3EtyLT4+Cp28RYj0HkZoi2vywpzW8auhjf3BIShKwqKOjBRXLapfRBLVJQsHQjSLpPXVJB187u+qSCiNR8NBToMzeennPa8/kUJVHj0L9Iw1pPYUnmmympfyah/QlR73ti0yNCJm7zO29nlfUgRc4clKYQL3YiIctAP0hjquWrs0dQJZ2O9Kwp73pLbBnK/MNLcPO3/YoZ66Zj6nclPGUsFL/Iy/SqeEylO1GrTQRxDydSy3Jab+z9GfxmQ83yF/nkLU/m5BUHMCZLkZb2SuF+Lr7s5PeTM6R1X0HJqdd7/55ma1v+uMvRYwBG8XmkW7ymzdu1ak8sHDx5syeotgj1liIiIiIiIiIiIiIhIZG7cwOJBGQ+9Ma2USiUUCgVsbW3h6OiIhIQES1ZvEQzKEBERERERERERERGRyNy4gcUHxklMTNRJqampuHHjBt58801s3LjR0tUTEREREREREREREREVC1a5W0GVKlXwzTff4KOPPrJG9UREREREREREREREREXOareQlslkePLkibWqJyIiIiIiIiIiIiIiKlI2lq5g586dOvOCICAmJgZLlizBG2+8YenqiYiIiIiIiIiIiIiIigWLB2V69OihMy+RSODj44PWrVtj/vz5lq6eiIiIiIiIiIiIiIioWLB4UEatVlu6CiIiIiIiIiIiIiIiomLP4kEZIiIiotJAEASoBBWy1dlQqV8+GiORSHLmIWceAMikMsgkMthIbSCVSA2uS0RERKRNEARkqbKQqcpERnZGjpSZbTg/IzsjxzpZqizNsY1KUOkc7+hPax8DicctEkg001KJFBJIdKalEimkEilspDaQy+SwldpCLpNDLpXDVvZy2lZmC7lUnudpcf3cpmVSmZXfsfwTBAFqQa15/Q096r9H5jxqr6MW/rugWjxmFY9JtY9h9fNMzRvaP3LbV0ztQ6a2VRh1GKrPEu+lAEEzDaBQ5gtzW5ZoZ3F6zgWV3/1C3Mfy+qi9f+blUfvzUNB1yDIsEpQZP3682WW///57SzSBilhGdgaWnl6q+bLVfwSQr2X6X7j5WSZuX2QqTzu/IHk69eRnHQu2F3j5I2IjtYFcKoeN1EaT9OfFg2ZTZUwt1z7RKE7LpP8////T5iyXSWWag7zcXjtD+eIfB2NJPCA1utzE+qbWNbaeyXWMHBCL75t2nvaPo5gnvn6aJLHJ8Z6aev8KmgztQ4aS+KfI0PeA/j6svz+rBTWUKiWUaiWUKiWy1dmaaaX6/+e1lhvLEx+zVFkGp5Wq/58Xp9WGy5kzrRbUuR5AGpoGXv7Zze1zYmxaez3Nay+R6bwPOfJyW25gW9p5UonU7ANxQ++tqc9ifpL+503/c6m93NSybHW2zmfTksSTFsa+J/Py/ZrnRxPfzeY8WuqgPa/fFeZM57bdgtYH/P/nNx+vp6GyuZ2AMnaiqiSfhCqN9IO7KkGV6zrGArqa5f//h70oPouvMu2Totq/GebOqwV1nk+YWurR0HPTmYeQs4yBPACQ4uX3nPY+qL8/an8Xak8bKpvf/w+F8Z9D/A5XC2qD/zHF4zkxTyWojB43GjsuzFRlIl2ZjozsDKRn//+jMv2/aUN5JsqT+SSQ5PpbKn5/5uWkqLhMLag13xHi593YfG7LNMExAwETKnr6QRsg78EEopLO2Hfg7TG3EegWaO3mlUgWCcqcP3/erHL8s1B6ZGRnYMIfE6zdDCIiohJPLaiRpcqydjOolDDnJJQ5Vx7rB2j1A7KGAruGyhgKGBi6AMHQMvFCC3NPPuuf1DJ2hXC2OhvZgm5g1tyArTnraOcX5Yk1YyfFcztpbs5JdTEZuhJezMtLvnhC09QJcO3l5pbNT/DE1DxRcWYns4O9jb3BZGdjYJnsv2Xa3/O5BbT0L7Ay9NnU/kyK0+JnKseFT4amtQJZuZY1MJ2lyspxMlyAoFlW2kggyfPFNPrvsfh9nJcLXE3N5/bdbWpfMTad27YM/T4UBs1v9ysYX9HuKaF/cWhRzFtq2/lVkN42xgL+5jyau64l6Vx89gp+FizBIkGZgwcPWmKzVIzZymwxoNYAADDeHU7vC9VUt7nCLiO2S2QqTzu/IHlFVXd+6jF0NbrYm0Azr1KaXq43r7+OUq00eWJE+wrRov6zK/bmMHQyKbcTS/o9gcxZz5xl+j0NAPMOgPXzzO1poPP+Crr5xnry6O8Tudbx//uIJU9AaffQEU8eir1/tPPEXkHay42eoMzHsAmmpuVSueaPq/bnMreDTvFPkbGr5kx9pgxNGzrBZOwkYm4nFk0tV6lVZj0/Q6+DePJY5/MhMf5ZyevnN7/LjS3T7sWnzeAVxkYO4PVPMpv7XWnu8vw+6m/X5KOJq68LShCEPO1DhsrlWCe35Qb2yzxt///XEb+TTb1eeXmd9a+2NnQyKkuVleM7tzSfhCLTVIIKKhUDCUVB+4So/u9EgXov5qOXozmPhn67ANMnq4z93ml6B2hd0a/9/aU/5FKOsnn4LcrPb6ChdQqT/jGn9nGl9qN4bGhnYwcHGwfY29jDQe7w37ShPBPTYmBFzLOV2fKiVz0qtSrPwRyVoDJ6slM/+Ku/TAxmi0Fsc+fFae35vPZ85ntvXH6COaYCRmpBXSqCEpYKWpD1mfOdVRgBIPHR38Xf2k+5xLLYPWXu3LmD4OBgfqBfEY5yR6zvtd7azaBSQPyjpv8HSltuwSn9fO2TqWLAg4qO9nuqnUyd+DQ1LZFINIEW/sYQEenSPgllThDH3HKGgrbm9CQxNK/N2FCk+stEeRoCzoyrhHMLxJqTn591xHyx14gx5lz1mNtJ8cLO0z5ZpX/1sn5eXvJzG/9fgrzfU0D/9dYfdrMw5sUTqlRyaO/T2oEd/f3H3H2QiieZ9OXn097G3tpNISuSSCSQSTiUK706tH+jqHizWFCmSpUqiImJga+vLwCgb9++WLRoEcqUKWOpKomoFJBKpJDKpJDL5NZuChUSvqdEREWHJ6GIiEzTHJuCx6ZERERkHRYLm+lf2bZnzx6kpaVZqjoiIiIiIiIiIiIiIqJijX2ZiIiIiIiIiIiIiIiIioDFgjISiSTH+Kocb5WIiIiIiIiIiIiIiF5VFrunjCAICA8Ph52dHQAgIyMD77//PpycnHTKRUdHW6oJFiMOzZaSkmLllhARERERERERERERkbWJ8QL9W7vos1hQZsiQITrzAwcOtFRVRe7FixcAgMDAQCu3hIiIiIiIiIiIiIiIiosXL17Azc3N6HKJkFvYhnJQq9V48uQJXFxcOCQblVgpKSkIDAzEw4cP4erqau3mEJUq/HwRWQ4/X0SWw88XkeXw80VkOfx8EVkOP195IwgCXrx4gYCAAEilxu8cY7GeMqWZVCpFuXLlrN0MokLh6urKL1UiC+Hni8hy+Pkishx+vogsh58vIsvh54vIcvj5Mp+pHjIi4+EaIiIiIiIiIiIiIiIiKjQMyhARERERERERERERERUBBmWIXlF2dnaYPn067OzsrN0UolKHny8iy+Hni8hy+Pkishx+vogsh58vIsvh58syJIIgCNZuBBERERERERERERERUWnHnjJERERERERERERERERFgEEZIiIiIiIiIiIiIiKiIsCgDBERERERERERERERURFgUIaIiIiIiIiIiIiIiKgIMChDRERERERERERERERUBBiUISIiIiIiIiIiIiIiKgIMyhARERERERERERERERUBBmWIiIiIiIiIiIiIiIiKAIMyRERERERERERERERERYBBGSIiIiIiIiIiIiIioiLAoAwREREREREREREREVERYFCGiIiIiIiIiIiIiIioCDAoQ0REREREREREREREVAQYlCEiIiIiIiIiIiIiIioCDMoQEREREREREREREREVAQZliIiIiIiIiIiIiIiIigCDMkREREREREREREREREWAQRkiIiIiIiIiIiIiIqIiYGPtBpREarUaT548gYuLCyQSibWbQ0REREREREREREREViQIAl68eIGAgABIpcb7wzAokw9PnjxBYGCgtZtBRERERERERERERETFyMOHD1GuXDmjyxmUyQcXFxcAL19cV1dXK7eGiIiIiIiIiIiIiIisKSUlBYGBgZr4gTEMyuSDOGSZq6srgzJERERERERERERERAQAud7yxPjAZkRERERERERERERERFRoGJQhIiIiIiIiIiIiIiIqAhy+jIiIiIiIiIiIiPJFrVbj+vXruHjxIq5cuYK7d+/i4cOHiI+PR1JSEjIzMwEAdnZ28PLy0iQ/Pz9Ur14dNWvWRM2aNeHh4WHlZ0JEVDQYlLEQlUoFpVJp7WZQIZDL5ZDJZNZuBhERERERERFRsXD37l3s2rULe/fuxV9//YWkpCSz1nv8+LHRZWXLlsWbb76J1q1bo1WrVqhcuXKu92UgIiqJJIIgCNZuREmTkpICNzc3JCcnw9XVVWeZIAiIjY01+8eISgZ3d3f4+fnxYICIiIiIiIiIXkmxsbHYsGEDNmzYgPPnz+ssc3JyQu3atVGzZk1UrlwZ5cuXh6+vL9zc3GBvbw+JRAKFQoH4+HhNevToEa5cuYLLly/j/v37OeorV64cOnfujLfeegutWrWCXC4vqqdKRJQvpuIG2hiUyQdTL25MTAySkpLg6+sLR0dHnsQv4QRBgEKhQFxcHNzd3eHv72/tJhERERERERERFZnjx49j0aJF2Lp1K7KzswEAMpkMzZo1Q+fOndGqVSvUrVsXNjb5H5AnJSUF58+fx6FDh3Dw4EGcOHECWVlZmuUeHh7o3r07+vTpg3bt2hWoLiIiS2FQxoKMvbgqlQo3b96Er68vvLy8rNhCKmzx8fGIi4tD1apVOZQZEREREREREZV6+/btw8yZM3HkyBFN3muvvYbBgwejd+/e8Pb2tljdCoUCR48exbZt27Bt2zbExcVplvn7+2PQoEEYOnQoQkNDLdYGIqK8YlDGgoy9uBkZGbh79y6CgoLg4OBgxRZSYUtPT8e9e/cQHBwMe3t7azeHiIiIiIiIiMgiLl++jIkTJ2Lv3r0AXt5rd9CgQRgzZgzq1q1b5O1RqVT466+/sHnzZvz88894/vy5Ztlrr72GDz74AH369OH5GiKyOnODMtIibNMrg0OWlT58T4mIiIiIiIioNHv69Cnef/991KlTB3v37oVcLsfYsWNx584drFq1yioBGeDlUGnNmzfH4sWL8fjxY0RHR6Nr166QyWT4+++/MWTIEAQGBmLy5MkG701DRFTcsKdMPuTWU4a9KUofvrdEREREREREVBoJgoCffvoJn3zyCV68eAEAeOuttzB37lxUqlTJyq0zLjY2FqtXr8by5cvx8OFDAIBUKkVYWBhGjRqFtm3bQirl9eivMqVSCYVCgfT0dM1jeno6MjIyoFarIQiC5lFMtra2cHBwgIODAxwdHTXTzs7OvJcR5YrDl1kQgzL5FxQUhHHjxmHcuHHWbkqe8L0lIiIiIiIiotLm/v37GD58OPbv3w8AaNiwIb7//ns0a9bMyi0zX3Z2Nn799Vf8+OOP+PPPPzX5ISEhGDNmDAYPHgwXFxcrtpAKShAEJCYmIjY2VpOePn2KhIQEJCYmIikpCYmJiTopKSkJmZmZhdoOd3d3eHt7w9vbGz4+PggMDESFChVQvnx5lC9fHlWrVrXovZao+DM3KMPwHgEAwsPDsWbNmhz5t27dQuXKlXWW29jYIDAwEL169cKMGTPg5OSU73qDgoJydC0tW7YsHj16ZLD8l19+iRkzZgB4efVDQEAAOnTogDlz5sDHxweA4aHG3njjDRw7dkwzf/DgQcybNw8nT55Eeno6goKC0KlTJ4wfPx5ly5bN9/MhIiIiIiIiIiruBEHAypUrMWHCBLx48QIODg6YPXs2xo4dW+J6l9jY2KBnz57o2bMnrl+/jqVLlyIyMhI3btzA6NGjMWXKFAwdOhSjR49G5cqVrd1c0pOZmYnHjx/jwYMHePjwIR48eIAHDx7gyZMnOgEYpVKZ7zokEolOzxd7e3tIpVJIpVJIJBJIJBLNfp+VlaXTs0ahUEDs05CUlISkpCTcvn3baF3e3t6oVq0aqlWrhtq1a6NRo0aoU6cO7Ozs8t1+Kn0YlCGNjh07IiIiQidPDHRoL1cqlTh69CiGDx+OtLQ0LFu2rED1fvXVVxgxYoRmXiaTmSxfo0YN7N+/HyqVCufPn8ewYcPw+PFj/Pbbb5oyERER6Nixo2be1tZWM71ixQp8+OGHGDJkCLZu3YqgoCA8ePAAa9euxfz58/H9998X6PkQERERERERERVXSUlJCA8Px44dOwAATZs2RUREBKpWrWrllhVcaGgoFi1ahFmzZmHNmjVYsmQJbty4gR9++AGLFi1Cp06dMHbsWLRr167EBZ9KKrVajSdPnuD27dua9O+//2qCL7GxsWZvy8PDA35+fvDz80OZMmXg6ekJDw8PTXJ3d9eZd3FxgaOjI+zs7PJ9v2hBEJCVlYWUlBTEx8fj+fPneP78OWJjY3WCSPfu3cODBw/w/PlzHD16FEePHtVsQy6Xo3bt2mjSpAlatmyJli1b6pxzpVcPgzKkYWdnBz8/P7OW9+/fHwcPHsT27duNBmXi4uIwbNgw7N+/H35+fpg5c6bBci4uLibr1WdjY6MpX7ZsWYwdOxbTpk1Deno6HBwcALzsTmhom48ePcLYsWMxduxYLFiwQJMfFBSE5s2bIykpyex2EBERERERERGVJOfPn8fbb7+NO3fuwNbWFrNnz8a4ceNyvUC2pHFxccHo0aPx4YcfYt++fVi8eDF2796NPXv2YM+ePQgJCcHo0aMxZMgQDm1WSJKSknD16lVcvXoVN27c0AnApKenm1zX3t4e5cuXR2BgoGYosLJly2oCMH5+fvD19bVKbxOJRAI7Ozv4+PjkGkhJS0vDjRs3cO3aNVy7dg3nzp3D6dOn8fz5c5w9exZnz57F0qVLAQA1a9ZE69at0blzZ7Rs2ZI9aV4xDMpYmCAIUCgUVqnb0dEx31Fgczg4OJjsOhgeHo6HDx/iwIEDsLW1xdixYxEXF2eRdqjVamRnZ+dadvPmzcjKysKnn35qcLm7u3sht46IiIiIiIiIyLoEQcDq1asxatQoZGZmokKFCtiyZQsaNmxo7aZZlFQqRYcOHdChQwfcunULP/74IyIiInDjxg2MGTNGM7TZ8OHDUatWLWs3t0RISkrClStXcPXqVVy5ckUz/eTJE6PryGQyBAcHo3LlyqhcuTIqVaqEoKAgTSDG29vboucwi4qTkxPq16+P+vXra/IEQcD9+/dx6tQpHDt2DAcPHsTly5c1adGiRXB2dkb79u3RtWtXdO3aFV5eXlZ8FlQUGJSxMIVCAWdnZ6vUnZqamqf7vezatUunrZ06dcLmzZsNlj116hSioqLQpk0bg8tv3ryJ3377DX///TeaNGkCAFi1ahWqVauWo+ykSZPwxRdfaObFMUzNcf36dSxbtgyNGzfWubKhX79+Old5rF+/Hj169MCtW7fg6uoKf39/s7ZPRERERERERFSSZWVl4cMPP8SqVasAAF26dMHatWvh6elp5ZYVrSpVqmDhwoX4+uuvsXbtWixevBg3btzAokWLsGjRIjRs2BBDhw5Fv3794OHhYe3mWp0gCHj48CEuXLiA8+fP4/z587hw4UKOe0NrK1euHGrUqIHQ0FBUqVJFE4QpX7485HJ5Eba++JBIJAgKCkJQUBD69OkDAHj27BkOHTqEP/74A7t370ZMTAyio6MRHR0NGxsbdOjQAe+88w66d+/OnlylFIMypNGqVSudocj0Azpi0CY7OxtKpRLdu3fH4sWLDW7r2rVrsLGx0bniIjQ01GBPlE8++QTh4eGaeW9vb5PtvHTpEpydnaFSqZCZmYmWLVvip59+0imzYMECtG3bVjMvBmEEQSgVkXciIiIiIiIiotwkJCSgV69eOHz4MKRSKWbOnIlJkya90vdTcXFxwahRo/DBBx9g//79+Omnn7Bz506cOXMGZ86cwfjx49GrVy8MHToUrVu3LnVDuxmSnZ2Nmzdv6gRfzp8/j4SEBIPlAwMDUb16ddSoUUPn0dXVtYhbXjL5+Pigd+/e6N27N9RqNc6dO4dff/0V27dvx8WLF7F7927s3r0b9vb26NatG4YNG4Y2bdq8Evviq4JBGQtzdHREamqq1erOCycnJ1SuXNnocjFoI5fLERAQYDLCLQgCAJgVAPH29jZZr76QkBDs3LkTMpkMAQEBBsdc9PPzM7jNqlWrIjk5GTExMewtQ0RERERERESl1q1bt9ClSxfcunULLi4u2LRpEzp16mTtZhUbUqkU7du3R/v27fHs2TNs2LABq1evxqVLl7Bx40Zs3LgRZcqUQa9evfD222+jefPmsLEp+adSFQoFLl26pBN8uXjxIjIyMnKUtbGxQfXq1VG3bl3Uq1cP9erVQ506dTj8fyGSSqVo2LAhGjZsiBkzZuDatWvYtGkTNm7ciJs3b+KXX37BL7/8gvLlyyM8PBzvvvsuKlSoYO1mUwGV/G+SYk4ikeRpCLHiLLegjbZq1aohOzsbZ86cQePGjQEAN27cQFJSUoHbYWtrm6cgjra3334bn332Gb799lssWLAgx/KkpCT+sBARERERERFRiXbkyBH07NkTCQkJKF++PHbt2sV7ppjg4+ODcePG4aOPPsK5c+ewevVqREVF4enTp1i2bBmWLVsGb29vhIWFoX379mjXrl2uI70UBwkJCTl6v1y/fh1qtTpHWScnJ9SpU0cTfKlbty5q1KgBe3t7K7T81VWtWjV8+eWXmD59Os6fP4+IiAisX78eDx48wFdffYWvv/4a3bp1w9ixY9GqVSuOCFRCMShDFhESEoKOHTtixIgR+Omnn2BjY4Nx48bBwcHBqu0KDAzEggULMHr0aKSkpGDw4MEICgrCo0ePsHbtWjg7O2P+/PlWbSMRERERERERUX5t2bIFAwYMQFZWFho3bowdO3bAz8/P2s0qESQSCRo0aIAGDRpgwYIFOHDgALZs2YJt27bh+fPniIyMRGRkpKZcmzZt8Nprr6FJkyZWHZFFoVDg+vXruHbtGq5du4ZLly7hwoULePDggcHyvr6+OsGXevXqoXLlyq/0sHbFjUQiQf369VG/fn3MmzcP27Ztw8qVK3HgwAHs2LEDO3bsQI0aNTB27FgMGDCg1HQKeFUU26DMnDlzEB0djevXr8PBwQFNmzbF3LlzERISoikTHh6ONWvW6KzXpEkT/P333ya3vXXrVkydOhX//vsvKlWqhFmzZqFnz54WeR6vsoiICAwfPhwtWrRAmTJlMHPmTEydOtXazcKHH36IqlWr4rvvvkPPnj2Rnp6OoKAghIWFYfz48dZuHhERERERERFRvixfvhwffvghBEFAr169sH79eqtfIFtS2draomPHjujYsSOWLVuGI0eO4Pfff8cff/yBixcvau5BIypfvjwaN26MatWqITQ0FCEhIahatWqh3KhdEATExcXhwYMHmnT//n3cvHkT165dw71794yuW6lSJZ3hx+rVqwc/Pz/2sChB7O3t0a9fP/Tr1w/Xrl3DkiVLsGbNGly5cgUjR47EZ599hmHDhmHMmDEoX768tZtLZpAI4s0/ipmOHTvinXfeQaNGjZCdnY3PP/8cly5dwtWrVzWRv/DwcDx9+hQRERGa9WxtbeHp6Wl0uydOnECzZs3w9ddfo2fPnti2bRumTZuGY8eOoUmTJma1LSUlBW5ubkhOTta5gVVGRgbu3r2L4OBgdu0rZfjeEhEREREREVFxJQgCZs6ciWnTpgEARo4ciR9//JE3BreQmJgY/PHHHzh27BhOnjyJy5cvw9gpVjc3N/j5+aFMmTLw8/ODm5sb7O3t4eDgAAcHB8hkMiiVSk3KyMhAYmIiEhISkJiYiOfPn+PRo0fIzMw02SZvb29Uq1YN1atX19wHpk6dOnBzc7PES0BWlpSUhMjISCxevBh37twBAMhkMvTp0wcTJkxAgwYNrNzCV5OxuIG+YhuU0ffs2TP4+vri8OHDaN68OYCXQZmkpCRs377d7O307dsXKSkp+O233zR5HTt2hIeHBzZu3GhwnczMTJ0vvpSUFAQGBjIo8wrhe0tERERERERExZFarca4ceOwePFiAMDUqVMxY8YM9oQoQi9evMCZM2dw7tw53LhxAzdu3MD169cRFxdXaHVIJBIEBASgfPnyKF++PCpUqICKFSuievXqqFatWom4xw0VPpVKhd9++00z3J6oZcuWmDhxIjp16sRh6YqQuUGZYjt8mb7k5GQAyNEL5tChQ/D19YW7uztatGiBWbNmwdfX1+h2Tpw4gY8//lgnr0OHDli4cKHRdebMmYMZM2bkv/FERERERERERESFTK1WY8SIEVi9ejUAYNGiRRgzZoyVW/XqcXFxQatWrdCqVSud/JSUFMTExCA2NlaTXrx4gfT0dE1SqVSQy+WwtbWFXC6HnZ0dPDw84OnpqXksV64cypYtC1tbWys9QyquZDIZwsLCEBYWhvPnz2P+/PnYtGkTDh06hEOHDiE0NBQTJkzAwIEDeaF5MVIiesoIgoDu3bsjMTERR48e1eRv2rQJzs7OqFChAu7evYupU6ciOzsbZ8+ehZ2dncFt2draIjIyEv3799fkRUVFYejQoUa7AbKnDPG9JSIiIiIiIqLiRKVSYdiwYVizZg2kUinWrl2LAQMGWLtZRGRlDx8+xKJFi/DTTz8hJSUFAODr64vRo0fjgw8+YK8qCzK3p0yJ6Ls0evRoXLx4McfwYn379kWXLl1Qs2ZNdO3aFb/99htu3ryJ3bt3m9yefvdNQRBMdum0s7ODq6urTiIiIiIiIiIiIrIGlUqFoUOHYs2aNZDJZIiKimJAhogAAIGBgZg3bx4ePnyI+fPnIzAwEHFxcZg2bRrKly+PDz/8ELdu3bJ2M19pxT4oM2bMGOzcuRMHDx5EuXLlTJb19/dHhQoVTO5Ufn5+iI2N1cmLi4tDmTJlCqW9AIze2ItKLr6nRERERERERFQcZGdnY/DgwVi3bh1kMhk2btyIvn37WrtZRFTMuLq6Yvz48fj3338RFRWF+vXrIz09HcuWLUNISAh69uyJv/76i+c9raDYBmUEQcDo0aMRHR2NAwcOIDg4ONd14uPj8fDhQ/j7+xst8/rrr2Pfvn06eX/88QeaNm1a4DbL5XIAgEKhKPC2qHgR31PxPSYiIiIiIiIiKmrZ2dkYNGgQoqKiYGNjg19++QW9e/e2drOIqBiTy+Xo168fzpw5g4MHDyIsLAyCIGD79u1488030bRpU2zZsgUqlcraTX1lFNt7ynz44YeIiorCjh07EBISosl3c3ODg4MDUlNT8eWXX+Ktt96Cv78/7t27hylTpuDBgwe4du0aXFxcAACDBw9G2bJlMWfOHADA8ePH0bx5c8yaNQvdu3fHjh078MUXX+DYsWNo0qSJWW0zNTZcTEwMkpKS4OvrC0dHR5PDolHxJwgCFAoF4uLi4O7ubjLgR0RERERERERkKUqlEgMGDMDmzZshl8vxyy+/oEePHtZuFhGVQNeuXcP333+PdevWae6lXrFiRYwbNw5Dhw6Fs7OzlVtYMpl7T5liG5QxFsyIiIhAeHg40tPT0aNHD5w/fx5JSUnw9/dHq1at8PXXXyMwMFBTvmXLlggKCkJkZKQmb8uWLfjiiy9w584dVKpUCbNmzUKvXr3MbpupF1cQBMTGxiIpKSlPz5eKN3d3d/j5+THIRkRERERERERFTqlUol+/fti6dSvkcjm2bt2Krl27WrtZRFTCPX36FD/++COWLl2K+Ph4AICHhwc++OADjB49mheo51GJD8oUZ+a8uCqVCkqlsohbRpYgl8shk8ms3QwiIiIiIiIiegVlZWWhb9++2L59O2xtbREdHY0uXbpYu1lEVIooFAqsWbMG33//PW7fvg0AsLW1xVtvvYXw8HC0adOG50fNwKCMBZn74hIREREREREREeVXZmYm+vTpg507d8LOzg7btm1Dp06drN0sIiqlVCoVfv31V3z33Xf466+/NPlly5bF4MGDMWjQIFSrVs2KLSzeGJSxIAZliIiIiIiIiIjIkjIzM/HWW29h9+7dsLe3x/bt29GhQwdrN4uIXhFnz55FZGQkoqKikJCQoMmvVasW+vTpg+HDh8PPz8+KLSx+GJSxIAZliIiIiIiIiIjIUjIyMtCrVy/89ttvsLe3x6+//oq2bdtau1lE9ArKzMzEr7/+isjISOzduxfZ2dkAgCtXrqB69epWbl3xYm7cwKYI20REREREREREREQmpKeno2fPnti7dy8cHBywa9cutG7d2trNIqJXlJ2dHd5++228/fbbSExMxI4dO3Dy5EkGZAqAPWXygT1liIiIiIiIiIiosCkUCvTo0QP79u2Do6Mjdu/ejZYtW1q7WUREZAZz4wZSSzYiMzPTkpsnIiIiIiIiIiIqFRQKBbp27Yp9+/bByckJe/bsYUCGiKgUKtSgzN69exEeHo5KlSpBLpfD0dERLi4uaNGiBWbNmoUnT54UZnVEREREREREREQlXlpaGsLCwnDgwAE4Ozvjt99+Q4sWLazdLCIisoBCCcps374dISEhGDJkCKRSKT755BNER0dj7969WLVqFVq0aIH9+/ejYsWKeP/99/Hs2bPCqJaIiIiIiIiIiKhES0lJQceOHXHw4EG4uLjg999/R7NmzazdLCIispBCuadM48aNMXXqVHTp0gVSqfE4z+PHj/HDDz+gTJkymDBhQkGrtRreU4aIiIiIiIiIiAoqKSkJHTt2xMmTJ+Hm5obff/8dr732mrWbRURE+WBu3KBQgjKvGgZliIiIiIiIiIioIOLj49G+fXucO3cOnp6e+OOPP9CgQQNrN4uIiPLJ3LiBTRG2iYiIiIiIiIiI6JUXFxeHdu3a4eLFi/Dx8cG+fftQp04dazeLiIiKQKHcU8YcO3bswNq1a4uqOiIiIiIiIiIiomInJiYGLVu2xMWLF+Hn54dDhw4xIENE9AopsuHLQkNDcevWLahUqqKozqI4fBkREREREREREeXVw4cP0aZNG9y6dQvlypXDgQMHUKVKFWs3i4iICkGxG77s+vXrRVUVERERERERERFRsXL9+nW0b98eDx8+RIUKFXDw4EEEBwdbu1lERFTEeE8ZIiIiIiqW1Go1bt68idOnT+PKlSu4efMmHj16hGfPnuHFixdQqVSQSqVwc3ODp6cnKlasiMqVK6NBgwZ47bXXULZsWWs/BSIiIiIAwKlTp9C5c2fEx8cjJCQEf/zxB8qXL2/tZhERkRUUelDmyJEjJpc3b968sKskIiIiolIiMTERv//+O3bt2oXff/8dCQkJua6TkJCAu3fv4uzZszr5oaGh6NKlC3r37o3GjRtDIpFYqtlERERERv3xxx/o1asX0tLS0KhRI+zZswfe3t7WbhYREVlJod9TRiqV5qxE6w8w7ylDRERERNpSU1OxadMmrFu3DseOHdM5XrS3t0eDBg1Qp04dhISEICgoCD4+PnB1dYVcLodKpUJycjLi4uJw584dXLt2DadOncLFixehVqs126lWrRpGjhyJYcOGwdnZ2RpPk4iIiF5BUVFRCA8Ph1KpRLt27RAdHc1jESKiUsrcuEGhB2WSk5N15pVKJc6fP4+pU6di1qxZaNOmTWFWZxUMyhAREREVjCAIOHv2LP73v/8hKioKqampmmU1atRAWFgYwsLC0KRJE8jl8jxvPykpCX/88Qd27NiBbdu2IT09HQDg7u6O0aNHY+LEiXBzcyu050NERESkTRAEfP3115g+fToAoG/fvli7di1sbW2t3DIiIrIUqwVljDly5Ag+/vjjHMNKlEQMyhARERHlj1qtxs6dO/HNN9/g5MmTmvwqVapg+PDh6N27d6Hf8DY5ORkbN27EggULcPPmTQCAp6cnvvjiC4wePTpfQR8iIiIiYzIzMzF8+HCsX78eADBhwgR8++23BkeXISKi0qPYBWWuXbuGRo0a6VwFWVIxKENERESUN1lZWYiKisLcuXNx/fp1AICdnR3eeustjBgxAi1atLD4PV/UajW2b9+OL774AteuXQMA1KxZE8uXL8cbb7xh0bqJiIjo1fD8+XP07NkTx44dg0wmw9KlS/Hee+9Zu1lERFQErBaUuXjxos68IAiIiYnBN998A6VSib/++qswq7MKBmWIiIiIzKNSqRAVFYWpU6fi/v37AAA3NzeMGjUKY8eORZkyZYq8TdnZ2YiIiMDkyZMRHx8PiUSCjz/+GLNmzYK9vX2Rt4eIiIhKhwsXLqBXr164e/cu3NzcsGXLFrRt29bazSIioiJitaCMVCqFRCKB/mZfe+01rF69GqGhoYVZnVUwKENERERkmiAI+P333/HZZ59pLtrx8/PD+PHjMXLkyGJxDPX8+XN88skniIyMBPDyXjabNm1CjRo1rNswIiIiKnEiIiLw4YcfIiMjAxUrVsSuXbtQrVo1azeLiIiKkNWCMuIVkCKpVAofH59SddUhgzJERERExp08eRKTJk3C4cOHAbzsGTN58mSMGTMGjo6OVm5dTrt27cLw4cPx9OlTODo6YsWKFRg4cKC1m0VEREQlQEZGBsaMGYOVK1cCALp06YJ169bBw8PDyi0jIqKiVuzuKVOaMChDRERElNONGzfw+eefY+vWrQBe3jNmzJgxmDx5Mjw9Pa3cOtOePXuGAQMGYN++fQCAjz/+GN999x1vyEtERERG3bhxA/3798e5c+cgkUjw9ddfY/LkyTx+ICJ6RZkbNyiyX4kzZ87gyJEjZpefM2cOGjVqBBcXF/j6+qJHjx64ceOGZrlSqcSkSZNQq1YtODk5ISAgAIMHD8aTJ09MbjcyMhISiSRHysjIyPdzIyIiInqVxcTE4P3330eNGjWwdetWSCQShIeH4+bNm5g3b16xD8gAgI+PD3777TdMnz4dALBgwQL07t0bCoXCyi0jIiKi4katVmPx4sWoV68ezp07By8vL+zduxeff/45AzJERJSrIvulGDRoEFq1amV2+cOHD2PUqFH4+++/sW/fPmRnZ6N9+/ZIS0sDACgUCpw7dw5Tp07FuXPnEB0djZs3b6Jbt265btvV1RUxMTE6qTQNr0ZERERUFJKTk/HFF1+gcuXKWLFiBVQqFbp27YqLFy8iIiIC5cuXt3YT80Qmk+HLL7/Exo0bYWtri+joaLRu3RpxcXHWbhoREREVEw8fPkSHDh0wduxYpKeno23btrhw4QLatWtn7aYREVEJUWTDlz158gRKpRIVKlTI1/rPnj2Dr68vDh8+jObNmxssc/r0aTRu3Bj37983ehIgMjIS48aNQ1JSUr7aAXD4MiIiInq1ZWZmYtmyZZg5cybi4+MBAK+//jrmzp2LZs2aWbl1hePo0aPo3r07EhMTUbFiRezZswchISHWbhYRERFZiUqlwsqVKzFp0iQkJyfDwcEB8+bNwwcffMDeMUREBKAYDl8WEBCQ74AM8PJKTAAmh79ITk6GRCKBu7u7yW2lpqaiQoUKKFeuHMLCwnD+/HmT5TMzM5GSkqKTiIiIiF41KpUK69atQ0hICD7++GPEx8cjNDQU27Ztw19//VVqAjIA0KxZM5w4cQLBwcG4c+cOmjdvjqtXr1q7WURERGQFJ06cQOPGjfH+++8jOTkZTZo0wYULFzBq1CgGZIiIKM8s2lMmPT0dSqVSJy8/PUsEQdBcqXj06FGDZTIyMvDmm//H3n1HRXU/bQB/lqoUQUGxgIgNxRjF3nvvJrHG2KMmGlvUGGP0p0aNMfYeY0uMNfZesXex946CiPTedu/7x7ysIZaAstxleT7n7JG7dVZguffOd2ZqoVSpUli9evVbn+vMmTO4f/8+ypYti8jISMyZMwe7d+/GlStXUKJEiTc+5n//+x8mTJjw2vWslCEieruXL1/C19cXV69exd27d+Hn54fAwEBEREQgJiYGGo0G5ubmyJUrF/LkyQM3Nzd4eHjAy8sL3t7e8PLygoWFhdpvg4gg+2Jbt27F+PHjce3aNQCy4GbChAno2bOnSf+uBgUFoWnTprh8+TLy5s2Lw4cP46OPPlI7LCIiIsoEgYGBGDNmDFasWAFAzmlNmjQJX3/9tUnv/xAR0ftJa6VMhidlYmNjMWrUKGzYsEHfzuKftFptup9z4MCB2LVrF06cOAFXV9fXbk9KSkKHDh3g5+eHI0eOpCtRotPpUKFCBdSpUwdz5859430SEhKQkJCg346MjISbmxuTMkRE/xAXF4fDhw9j165d8PHxwe3btz/o+ezt7VG7dm00btwYbdu2hYeHRwZFSkRppSgKdu/ejXHjxsHX1xcA4ODggNGjR2Pw4MGwsbFROcLMERISgsaNG+PSpUtMzBAREWUDz58/xy+//IIlS5YgLi4OANCrVy9MnToVLi4uKkdHRETGSrWkzMCBA+Hj44OJEyeie/fuWLBgAfz9/bFkyRL8/PPP+Pzzz9P1fN988w22bt2KY8eOvfGEXFJSEjp27IiHDx/i8OHDcHJySnfMX375JZ49e4Y9e/ak6f6cKUNEJBRFwcmTJ7F8+XJs2LABMTExqW739PREuXLlULp0abi7u6NgwYJwdHSEra0tACA5ORkREREICQnBkydP8ODBA1y9ehWXL19GVFRUqufy9vZG9+7d0bVrV+TLly/T3iNRdqQoCg4ePIhx48bhzJkzAAA7OzsMGTIE3377LXLnzq1yhJkvNDQUjRs3hq+vL5ydnXH48GGULVtW7bCIiIgoAz179gzTp0/Hb7/9hvj4eABA1apVMXv2bFSrVk3l6IiIyNiplpQpXLgw/vjjD9SrVw+5cuWCr68vihcvjj///BNr167F7t270/Q8iqLgm2++wZYtW3DkyJE3thZLScjcu3cPPj4+yJs3b7rjVRQFVapUQdmyZbF8+fI0PYZJGSLK7kJCQrB06VIsX74c9+7d01/v5uaG1q1bo0mTJqhVq9Z7JcoBqaq8evUqDh8+jJ07d+LYsWPQ6XQAAEtLS3Tr1g0jRoyAl5dXhrwfIhKKomDv3r2YOnWqvmVszpw5MWjQIIwaNQrOzs4qR6iusLAwNG7cGBcvXoSzszNOnjyJkiVLqh0WERERfQCtVos9e/Zg6dKl2LVrl77DS40aNTB+/Hg0btwYGo1G5SiJiCgrUC0pY2dnhxs3bsDd3R2urq7YvHkzqlSpgkePHqFs2bKIjo5O0/N8/fXXWLNmDbZt2wZPT0/99Q4ODsiZMyeSk5Px6aefwtfXFzt37kxVPponTx5YWVkBALp3745ChQph6tSpAIAJEyagWrVqKFGiBCIjIzF37lz8+eefOHnyJKpUqZKm2JiUIaLsKigoCDNmzMDChQv1n+d2dnbo2LEjevfujRo1ahjkgCU4OBjr16/HypUrceHCBf31rVq1wqhRo0xquDiRGhITE7Fu3TpMnz4d169fBwBYWVlhwIAB+P7775E/f36VIzQe4eHhaNSoES5evAh3d3ecPHkShQoVUjssIiIiSgedTgdfX19s27YNK1euxLNnz/S31a1bF2PHjkXDhg2ZjCEionRJa94gw6eSFS1aFI8fP4a7uzu8vLywYcMGVKlSBTt27ICjo2Oan2fRokUAgHr16qW6fsWKFejZsyeePXuG7du3AwDKly+f6j4+Pj76x/n5+cHMzEx/W3h4OPr164fAwEA4ODjA29sbx44dS3NChogoOwoMDMQvv/yCxYsX63sqly9fHoMHD0aHDh1gZ2dn0Nd3dnbGwIEDMXDgQJw+fRrTp0/H1q1bsXPnTuzcuRNNmzbFjBkzUKZMGYPGQWRqAgICsHz5cixZskR/MsLOzg79+vXDsGHD3jjLL7tzdHTEnj17ULNmTdy7dw9NmzbFsWPHkCdPHrVDIyIi+mDx8fF48OABnj17Bn9/f/j7++P58+eIjIxEdHS0/qLVamFmZgYzMzNoNBpYW1vDwcEBuXLlgoODg/7i6OgIFxcXFChQAAUKFICLiwssLS1VeW8vXrzAqVOnsGvXLuzatQuBgYH625ycnNCjRw/07dsXpUuXViU+IiLKPjK8UmbWrFkwNzfH4MGD4ePjg5YtW0Kr1SI5ORkzZ87EkCFDMvLlVMFKGSLKLhITEzFnzhxMnDhRXxlTpUoV/Pjjj2jZsqWqK8fu3r2LGTNmYMWKFUhKSoKZmRn69euHiRMnvlc7S6LsQqfT4cCBA1iyZAm2b9+ub9GRP39+DBkyBAMGDEjXQprs6vHjx6hRowaeP3+OGjVq4MCBA7CxsVE7LCIiojQLCgrCyZMncfHiRdy4cQM3btzAgwcP9G2DDcXZ2VmfpClQoADy58+P/Pnzw8XFJdXXuXPnTvfxhqIoCA4OxpMnT/DkyRPcuXMHFy5cwPnz51NVwwCyEKVp06bo0KED2rVrB2tr64x8m0RElA2p1r7s3/z8/HDhwgUUK1YM5cqVM+RLZRomZYgoO9i9ezeGDRuGu3fvAgAqV66Mn376yeh6Kt+/fx+jRo3Cli1bAAC5cuXCpEmTMGjQoFSVkkTZmaIoOHv2LNatW4eNGzciICBAf1utWrXQr18/dOzYkScj0unatWuoU6cOwsPD0bJlS2zZskW11b9ERET/JSgoCHv27MGxY8dw4sQJ/X7+vzk6OsLNzQ2FChVCoUKFULBgQTg6OsLOzg52dnawtbWFhYUFFEWBTqeDTqdDfHw8IiMjERERkeoSFhaGwMBAPH/+HC9evEBycnKa47WwsNBX3uTKlQu5cuWCpaUlzM3N9ZeEhARERUXpK3iCgoL0lf3/ptFoULp0aTRu3BitWrVC7dq1ue9DREQZymiSMqaISRkiMmX+/v746quvsGPHDgCAi4sLpk2bhi+++MKokxxHjhzB8OHDcenSJQBA7dq1sXz5chQvXlzlyIjUERcXh+PHj2Pfvn3YtGkTnjx5or/N0dER3bt3R79+/dj27wOdPHkSjRo1Qnx8PAYMGICFCxcaVeKaiIiyL0VRcPXqVezYsQM7d+7EuXPn8M9TQBqNBh999BGqVq2Kjz76CB999BHKlCkDFxcXg/wt0+l0CAkJwfPnz1NdXrx4gcDAQP2/gYGBCA8Pf+/X0Wg0KFCgAAoXLoyiRYuiYsWKqFSpEry9vWFvb59xb4iIiOhfMjUps27dOnTu3DlN93369Cn8/PxQs2bND31Z1TApQ0SmSFEU/PnnnxgyZAjCw8NhaWmJoUOHYuzYsVnms06n02HJkiUYNWoUoqOjkTNnTkyZMgWDBw826oQSUUaIi4uDr68vTp8+jYMHD+Lo0aOIj4/X325nZ4e2bduiU6dOaNKkCVeGZqBt27ahffv2UBQFM2bMwPDhw9UOiYiIsrGHDx9izZo1WL16Ne7cuZPqtooVK6Jx48aoXbs2qlevjty5c6sU5bvFx8cjODg4VfVNZGQkkpOTodVq9ZccOXLoK3js7e3h5OQEV1dX7ucQEZEqMjUpU7duXbx48QK9evVCmzZtXhuKFhERgZMnT2L16tU4ePAgli1bhtatW3/oy6qGSRkiMjUBAQHo378/du7cCUBala1cuRJeXl4qR/Z+Hj9+jL59++LQoUMAgDp16uCvv/7i0HIyCYqiICgoCLdu3cLNmzdx/fp1nDt3DleuXHmtJYirqyuaNm2KFi1aoHnz5siZM6dKUZu+mTNn4ttvv4VGo8HmzZvRrl07tUMiIqJsJCYmBuvWrcPy5ctx6tQp/fU5cuRA48aN0bp1a7Ro0QKFChVSMUoiIiLTlunty3bu3Il58+bh4MGDsLW1hYuLC3LkyKHvH5o3b1706tULQ4cORb58+TLiJVXDpAwRmZKtW7eid+/eCAsLg5WVFSZMmIARI0bAwsJC7dA+iKIoWLp0Kb799ltER0fD2dkZf/75J5o1a6Z2aERvpCgKYmJiEBISguDgYISEhOhbfPj5+ekvjx49Qmho6Bufw8XFBdWqVUOdOnXQrFkzlC5dmq20MomiKPj666+xePFi2NjY4NixY6hYsaLaYRERkYm7efMmFi9ejD/++AMREREAADMzMzRo0ACff/45PvnkE563ICIiyiSqzZQJCQnBiRMn8PjxY8TFxcHZ2Rne3t7w9vY2mdYxTMoQkSlISEjAyJEjMW/ePADSymDlypX46KOPVI4sY92/fx8dO3bUz5r5/vvvMXHixCyfdCLjl5ycjKCgILx8+fK1S3BwsD7x8s9/ExMT0/TcGo0GHh4eKF26NLy8vFCpUiVUrVoVhQsXZhJGRcnJyWjVqhX27duHAgUK4OzZs3Bzc1M7LCIiMjGKosDHxwdTpkzRV4YDQLFixdCvXz9069YNBQsWVDFCIiKi7Em1pEx2wKQMEWV19+7dQ+fOneHr6wsAGDFiBCZPngwrKyuVIzOM+Ph4jBgxAgsWLAAA1K5dGxs2bED+/PlVjoyyusTERNy7dw83btzAjRs38PDhQzx58gRPnjyBv78/tFptup/TysoKzs7OcHJygrOzM/Lly4fChQvrL+7u7ihZsiRbkRmpyMhI1KxZE9evX0eFChVw/Phx2NjYqB0WERGZAEVRsHPnTkyePBlnz54FIFUxbdq0wVdffYVGjRqZzGJYIiKirIhJGQNiUoaIsrJNmzahZ8+eiI6OhpOTE/744w+0aNFC7bAyxcaNG9GnTx9ERUXB1dUV27dvh7e3t9phURahKAru3buHkydP4uTJkzhz5gzu3Lnz2hyXfzIzM4OzszPy5s2b6uLs7Ky/ODk56RMwTk5OsLW1ZbVLFvf48WNUrlwZwcHB6Nq1K1avXs3vKRERvTetVosNGzZg6tSpuHbtGgCZFdO3b1+MGDEC7u7uKkdIREREAJMyBsWkDBFlRTqdDuPGjcPkyZMBAHXq1MFff/0FV1dXlSPLXHfv3kWbNm1w584d5MyZE6tWrUKHDh3UDouMVFhYGPbu3YsdO3bg4MGDePny5Wv3sbe3h5eXFz766COUKFEC7u7u+kv+/Pm5YjWbOnr0KBo1aoTk5GRMmzYNo0aNUjskIiLKYhITE/HHH39g2rRpuH//PgDZ7/j6668xbNgwuLi4qBwhERER/ROTMgbEpAwRZTURERHo1q0bdu7cCQAYPnw4pk2blm3nqoSHh6NLly7Yu3cvAGD8+PEYN24cT54TACA4OBhr1qzBpk2bcPLkyVQtyKytrVG5cmXUqFEDNWrUgLe3N9zc3FgFQW+0cOFCDBw4EBqNBjt37sw2VYlERPRhYmNjsXTpUvz666949uwZACBPnjwYOnQoBg0ahNy5c6scIREREb0JkzIGxKQMEWUld+7cQdu2bXHnzh1YW1tj6dKl+OKLL9QOS3VarRajRo3CzJkzAQBdunTBihUrYG1trXJkpIakpCTs3bsXK1aswM6dO5GUlKS/rUyZMmjdujVatGiBKlWq8GeE0kxRFPTv3x9Lly6Fg4MDzp49C09PT7XDIiIiIxUREYEFCxZg1qxZCA4OBgAUKFAAI0aMQL9+/WBnZ6dyhERERPQumZ6U0el02WaFMZMyRJRV7N69G126dEFkZCRcXV2xZcsWVKpUSe2wjMqKFSvQr18/JCcno169etiyZQscHR3VDosySVhYGBYvXox58+bh+fPn+usrVqyIL774Am3atIGHh4eKEVJWl5iYiAYNGuDkyZPw9PTE2bNn4eDgoHZYRERkRF6+fInZs2dj/vz5iIyMBAB4eHjgu+++Q48ePZAjRw6VIyQiIqK0SGveIMOyKJaWlggKCtJvjxw5EqGhoRn19ERElA6KomDatGlo1aoVIiMjUbNmTVy4cIEJmTfo1asXdu/eDXt7exw5cgS1atWCn5+f2mGRgT158gTDhg2Dm5sbxowZg+fPnyNfvnwYPnw4rl69igsXLmDIkCFMyNAHs7KywqZNm+Dq6oo7d+6ga9euqVriERFR9vXs2TMMHToU7u7umDJlCiIjI+Hl5YU///wTd+/eRf/+/ZmQISIiMkEZlpT5d8HNkiVLEB4enlFPT0REaZSUlIQvv/wSo0eP1rfOOXz4MAeBvkPjxo1x/PhxFCxYEDdu3ED16tVx5coVtcMiA3j+/DkGDBiAYsWKYfbs2YiJiUHZsmWxatUqPH36FDNmzEDZsmXVDpNMjIuLC7Zu3YocOXJg9+7dGDt2rNohERGRiu7fv48vv/wSRYsWxZw5cxAXF4eKFSti8+bNuHbtGrp165ZtZz8SERFlBwb7K89RNUREmS88PByfffYZDh06BDMzM8yZMweDBg1SO6wsoVy5cjhz5gyaN2+OGzduoG7duti5cydq1aqldmiUAcLDw/HLL79g9uzZiIuLAwA0bNgQI0eORJMmTaDRaFSOkExdxYoVsXz5cnTt2hU///wzPv74Y3Tp0kXtsIiI3ig5ORlRUVGIi4tDXFwc4uPjkZycDBsbG9jY2MDW1ha2trawtLRUO9QsxdfXF9OnT8eGDRug0+kAAHXr1sWYMWPQuHFj7o8QERFlE1x6QURkIh4/foyWLVvi5s2bsLW1xfr169GyZUu1w8pS3NzccOLECbRp0wbHjx9HkyZNsGnTJjRv3lzt0Og9abVaLFq0COPHj9e3Va1evTqmTZuG2rVrqxwdZTddunTBlStXMG3aNPTp0weenp6oUKGC2mERUTal0+lw7949XLp0CZcvX8ajR4/w9OlTPH36FM+fP09Tq0UnJye4urrC1dUVhQoVQokSJeDl5QUvLy8ULlw428ydfRdFUbB3715Mnz4dPj4++utbtGiBMWPGoGbNmipGR0RERGrQKBlU0mJmZoZ+/frBxsYGALBgwQJ069bttUGmM2fOzIiXU1VaB/YQEWWW8+fPo3Xr1njx4gUKFiyInTt3wtvbW+2wsqzY2Fh89tln2LNnDywsLLB69Wp06tRJ7bAonc6dO4evvvoKvr6+AAAvLy9MmTIFbdq04UpUUo1Wq0Xr1q2xZ88euLq64sKFC2wvSUSZIjExEadPn8aBAwdw5MgRXL58GTExMe98jJmZGXLmzImcOXPCwsICsbGxiImJSVPCxsbGBmXLlkXlypVRpUoVVKlSBSVKlMg2iZrExESsWbMGv/76K27cuAEAMDc3R+fOnTFixAiUL19e3QCJiIgow6U1b5BhSZl69er95wkOjUaDw4cPZ8TLqYpJGSIyJlu2bMHnn3+OuLg4lCtXDjt37oSrq6vaYWV5iYmJ6NGjB9atWweNRoNFixahf//+aodFaRAWFoYxY8ZgyZIlUBQFDg4OmDJlCvr37w9zc3O1wyNCeHg4qlatirt376JGjRo4fPgwrK2t1Q6LiExQcHAwNm3ahO3bt+Po0aOvJWFy5syJjz/+GN7e3ihZsiTc3Nz0F2dnZ1haWr7xOD8xMRGRkZF4/vw5/P398ezZMzx9+hR37tzBzZs3cefOHSQmJr72OEdHR9SuXRt169ZF3bp1Ub58eZObnfLs2TP8/vvv+O233/D8+XMAgJ2dHfr164chQ4agcOHCKkdIREREhpLpSZnshEkZIjIGiqJg1qxZGDFiBBRFQfPmzbF+/XrY29urHZrJ0Gq1GDRoEBYvXgwAmDp1KkaPHq1yVPQuO3bsQL9+/RAYGAgA+OKLLzB9+nRWIpDRuXPnDqpWrYqIiAj07t0bv//+Oyu4iChDREREYMuWLVi/fj0OHDiQqqolb968aNSoERo1aoRq1aqhZMmSBkmKJCcn48GDB7h06RLOnTuHc+fOwdfXVz/XLYW9vX2qJE2FChWy5JwarVaL/fv3Y/Hixdi5c6d+XkzBggUxZMgQ9OvXD46OjuoGSURERAbHpIwBMSlDRGpLTk7GkCFDsHDhQgDAV199hblz55rcSkNjoCgKxo4diylTpgAARo4ciWnTpvHkqZGJiIjA0KFDsXLlSgCAp6cnFi9ejHr16qkaF9G77Nu3Dy1atIBOp8Ps2bMxZMgQtUMioixKURScP38eixcvxrp161IlP7y9vdGhQwc0b94cH3/8sWrtw5KTk3Hp0iUcPXoUR48exfHjxxEREZHqPnZ2dqhRo4Y+SVO5cmVYWVmpEu9/URQF586dw9q1a7F+/Xr9ghBAOon0798fn3zyidHGT0RERBkvU5Myw4cPT/N9OVOGiOjDREVFoVOnTtizZw80Gg1+/fVXDBs2jEkCA/v1118xcuRIAED//v2xYMECtsIyEgcOHEDv3r3x7NkzaDQaDB8+HJMmTULOnDnVDo3oP82aNQvDhw+HmZkZ9uzZgyZNmqgdEhFlIXFxcVi9ejUWLVqES5cu6a/38vJCly5d0LFjR5QsWVLFCN9Oq9XiypUr+iTNsWPHEBYWluo+OXPmRPXq1VG3bl3UqVMH1apVQ44cOVSKWNq2nThxAnv37sWmTZvw8OFD/W158uRB9+7d0b9/f5QqVUq1GImIiEg9mZqUqV+/fqrtixcvQqvVwtPTEwBw9+5dmJubo2LFipwpQ0T0AZ49e4ZWrVrhypUryJkzJ/766y+0b99e7bCyjd9//x39+vWDoijo0qULVq1alSVbbJiKxMREfP/99/oFH8WKFcPKlStRq1YtlSMjSjtFUdC7d2+sXLkSjo6OOHfuHEqUKKF2WERk5EJCQrBgwQLMnz8fL1++BABYW1ujY8eOGDBgAKpXr57lFuzodDpcu3YNx44d0ydpUt5bCisrK1SpUgWVK1dGxYoVUalSJZQoUcJg1T8JCQm4evUqzp49i4MHD+LQoUOIjo7W325jY4N27dqha9euaNy4MatiiIiIsjnV2pfNnDkTR44cwapVq5A7d24AMnC3V69eqF27Nr799tuMfDlVMClDRGq4fPkyWrZsiYCAAOTLlw87duxAlSpV1A4r21m/fj26deuG5ORktG7dGhs2bFB1xWZ2de/ePXTp0gUXL14EAHz99df45ZdfYGtrq3JkROmXkJCA+vXr4/Tp0yhVqhTOnDkDBwcHtcMiIiP09OlTTJ8+HcuWLUNsbCwAwN3dHd988w169uwJJycnlSPMOIqi4NatW/okzdGjR/H8+fPX7mdnZ4fSpUvD09NTfylcuDBcXFzg4uLyn5WziqIgOjoajx49wsOHD/Hw4UPcu3cPFy9exJUrV5CYmJjq/vny5UOzZs3QokULtGrVivseREREpKdaUqZQoULYv38/ypQpk+r669evo0mTJggICMjIl1MFkzJElNl2796NTp06ITo6GqVLl8bu3btRpEgRtcPKtnbt2oXPPvsM8fHxqF+/PrZt2wZ7e3u1w8o2/vzzT3z99deIjo5Gnjx5sGLFCrRp00btsIg+SGBgICpXroxnz56hRYsW2L59O1skEpHe8+fPMWXKFPz222/6JIG3tzdGjhyJDh06ZIu5goqi4P79+zh9+jQuXLiACxcu4NKlS4iPj3/n43LlygUHBwdYWVnBysoKlpaWUBQFUVFRiIyMRGRkJJKTk9/6eCcnJ1SuXBm1atVC8+bNUb58edXm8hAREZFxUy0pY29vj23btqFBgwaprj98+DDatm2LqKioND3P1KlTsXnzZty+fRs5c+ZEjRo1MG3aNH1LNEB2yiZMmIDffvsNYWFhqFq1KhYsWPBaQujfNm3ahB9//BEPHjxAsWLFMHny5HS1/2FShogy06JFizBo0CDodDo0aNAAmzZtgqOjo9phZXtHjx5Fq1atEB0djapVq2L37t3IkyeP2mGZtPj4eAwePBhLly4FANStWxerV6+Gq6urypERZYyLFy+iVq1aiI+Px9ChQzFr1iy1QyIilQUFBeHnn3/GokWL9MmHunXr4scff0SDBg2yXIuyjJacnIw7d+6kuty9excBAQEIDAxEQkJCmp/LyckJRYsWRdGiReHh4YFy5cqhSpUq8PDwyPb/z0RERJQ2qiVlunfvjqNHj2LGjBmoVq0aAODMmTMYOXIk6tSpg1WrVqXpeZo1a4bOnTujcuXKSE5Oxg8//IBr167h5s2b+vLgadOmYfLkyVi5ciVKliyJn376CceOHcOdO3feumL59OnTqF27NiZNmoT27dtjy5YtGDduHE6cOIGqVaumKTYmZYgoM+h0OowaNQozZswAAPTs2RNLlixhr2ojcu7cOTRv3hyhoaEoW7Ys9u/fj/z586sdlkl68uQJPv30U1y8eBEajQbjx4/H2LFjWUlAJmfjxo3o2LEjAGDOnDkYPHiwyhERkRpCQkIwffp0zJs3T9+mrEaNGpg0adJrCyDpzRRFQUREBAIDAxEdHY3ExEQkJSXpK41y5cqlvzg4OMDOzk7liImIiCirUy0pExsbixEjRmD58uVISkoCAFhYWKBPnz6YPn36e/dbffnyJfLly4ejR4+iTp06UBQFBQsWxNChQ/Hdd98BkH7cLi4umDZtGvr37//G5+nUqRMiIyOxZ88e/XXNmjVD7ty5sXbt2jTFwqQMERlabGwsunXrhi1btgAAfvrpJ4wZM4ar9IzQ9evX0bhxYwQGBqJ48eI4ePAg3N3d1Q7LpOzfvx9dunRBaGgonJycsGbNGjRp0kTtsIgM5pdffsF3330HjUaDLVu2oG3btmqHRESZJD4+HnPnzsWUKVMQEREBAKhcuTImTZqEJk2acF+QiIiIyIilNW+Q4Y1QbWxssHDhQoSEhODSpUvw9fVFaGgoFi5c+EED8FJ2SFNawzx69AiBgYGpTspYW1ujbt26OHXq1Fuf5/Tp06+dyGnatOk7H5OQkKDvNZtyISIyFH9/f9StWxdbtmyBlZUV1qxZgx9++IEH4Ubqo48+wvHjx+Hu7o779++jdu3auHv3rtphmQSdTofJkyejWbNmCA0NRaVKlXDx4kUmZMjkjRw5Ev3794eiKOjSpQvOnz+vdkhEZGA6nQ5//fUXPD098d133yEiIgLlypXD9u3bcfbsWTRt2pT7gkREREQmwmDT6WxtbfHxxx+jXLlyH5SMAaTsePjw4ahVqxY++ugjADIMFQBcXFxS3dfFxUV/25sEBgam+zFTp06Fg4OD/uLm5va+b4WI6J1Onz6NSpUq4cKFC8iTJw8OHjyILl26qB0W/YfixYvjxIkTKFWqFJ4+fYratWvjypUraoeVpYWHh6Ndu3YYO3YsFEVB37599ckvIlOn0Wgwf/58NGvWDHFxcWjdujUeP36sdlhEZCBHjhxBlSpV0K1bN/j5+cHV1RWrVq2Cr68vWrduzWQMERERkYkxWFImIw0aNAhXr159Y3uxf++gKorynzut6X3M999/j4iICP3l6dOn6YieiChtVqxYgXr16iEwMBBly5bFhQsXULt2bbXDojRydXXFsWPH4O3tjaCgINSrVw+nT59WO6ws6erVq6hUqRJ27NgBa2trLF26FEuXLkWOHDnUDo0o01hYWGDDhg0oV64cXrx4gcaNG+PFixdqh0VEGejWrVto06YN6tevj4sXL8Le3h5TpkzB3bt30b17d5iZZYnDdSIiIiJKJ6Pfy/vmm2+wfft2+Pj4wNXVVX99yiDlf1e4BAUFvVYJ80/58+dP92Osra1TDQHkHBkiykjJyckYOnQoevfujcTERLRv3x6nTp2Ch4eH2qFROuXNmxeHDx9GzZo1ER4ejsaNG+PQoUNqh5WlrF69GtWqVcODBw/g7u6OkydPom/fvmqHRaQKe3t77Nq1S98esWnTpggPD1c7LCL6QC9evMBXX32FsmXLYseOHTA3N8fAgQNx//59fP/998iZM6faIRIRERGRARltUkZRFAwaNAibN2/G4cOHXzs56eHhgfz58+PAgQP66xITE3H06FHUqFHjrc9bvXr1VI8BZIDwux5DRGQoISEhaNq0KebMmQMAmDBhAv7++2/Y2dmpHBm9L0dHR+zbtw+NGzdGTEwMWrRoga1bt6odltFLTEzEN998gy+++AJxcXFo0qQJLl68iIoVK6odGpGqChUqhIMHD8LFxQVXrlxBy5YtERMTo3ZYRPQeYmNj8dNPP6F48eJYvHgxtFot2rZtixs3bmD+/PnIly+f2iESERERUSYw2qTMwIEDsXr1aqxZswb29vYIDAxEYGAg4uLiAEgLsqFDh2LKlCnYsmULrl+/jp49e8LGxgZdu3bVP0/37t3x/fff67eHDBmC/fv3Y9q0abh9+zamTZuGgwcPYujQoZn9Fokom7t06RKqVKmCw4cPw9bWFps3b8a4cePYqsIE2NraYseOHWjfvj0SExPx6aefYtGiRWqHZbT8/f1Rr149zJ8/HwAwduxY7N69G05OTipHRmQcihcvjv3798PR0RGnTp3Cp59+isTERLXDIqI00mq1WLZsGUqUKIEff/wR0dHRqFy5Mo4ePYqtW7fC09NT7RCJiIiIKBMZ7Zm/RYsWISIiAvXq1UOBAgX0l/Xr1+vvM2rUKAwdOhRff/01KlWqBH9/f+zfvx/29vb6+/j5+eH58+f67Ro1amDdunVYsWIFPv74Y6xcuRLr169H1apVM/X9EVH2pSgKFi1ahGrVquHhw4fw8PDA6dOn0b59e7VDowxkbW2NDRs2oE+fPtDpdPj6668xZswYKIqidmhG5ejRo6hQoQJOnz4NBwcHbN++HZMmTYK5ubnaoREZlY8//hi7d++GjY0N9u3bh86dOzMxQ2TkFEXBnj17UL58efTt2xcBAQEoUqQI1qxZgzNnzqBOnTpqh0hEREREKtAoPDuUbpGRkXBwcEBERATnyxBRukRGRqJfv376BHObNm2wYsUK5MmTR+XIyFAURcGkSZMwfvx4AEC3bt2wbNkyWFlZqRyZunQ6HX755Rf88MMP0Ol0KFu2LDZv3ozixYurHRqRUTtw4ABatWqFxMREtGzZEn///Tdy5MihdlhE9C++vr4YOXIkDh8+DADInTs3xo4di4EDB8La2lrl6IiIiIjIENKaN2BS5j0wKUNE7+PixYvo0qUL7t27BwsLC0ybNg3Dhg2DRqNROzTKBCtXrsSXX36J5ORkNGjQABs3bsy2ybiQkBD06NEDu3btAiCJqiVLlsDGxkblyIiyhn379qFdu3aIj49Ho0aNsHXrVtja2qodltFLSEjAixcvEBsbi/j4eMTFxSExMRE2NjZwcHCAg4MDcuXKxSHr9EGePHmCsWPHYvXq1QAAKysrfPPNN/jhhx+QO3dulaMjIiIiIkNiUsaAmJQhovRITk7G1KlTMXHiRCQnJ8PNzQ3r169H9erV1Q6NMtm+ffvw2WefITo6GsWLF8f27dtRunRptcPKVGfPnkXHjh3h5+cHa2trzJs3D3379mVykiidjh49ipYtWyImJga1atXCrl27uF/6/4KCgnD+/HlcuHABt2/fxpMnT/D48eNULY3fJU+ePChRooT+UqZMGVSvXh0FCxY0cOSUlQUHB2PatGmYN28eEhISAABdu3bFTz/9BA8PD5WjIyIiIqLMwKSMATEpQ0RpdffuXXzxxRc4d+4cAKBDhw5YtGgRB5hnY1evXkWbNm3w5MkT2NvbY926dWjRooXaYRmcoiiYO3cuRo4ciaSkJBQvXhwbN25E+fLl1Q6NKMs6ffo0mjdvjoiICFSqVAk7duxA/vz51Q4r0z19+hT79u3DgQMHcObMGfj5+b31vlZWVrC1tUWOHDmQM2dOWFlZISYmBhEREYiKinrn3C93d3dUr14dtWrVQrNmzVCsWDFDvB3KYsLDwzFz5kzMmjUL0dHRAIB69eph+vTpqFSpksrREREREVFmYlLGgJiUIaL/kpycjAULFuD7779HXFwcHBwcsGDBAnTt2pUVAYSXL1/is88+w7Fjx6DRaDBt2jSMGDHCZH82wsPD0bdvX2zatAkA8Omnn2LZsmVwcHBQOTKirM/X1xdNmjRBSEgI3NzcsH37dpNPdup0Opw6dQqbN2/G3r17cevWrVS3azQaeHp6onLlyvj444/h4eGBIkWKwN3dHU5OTm/9rNXpdIiKisLjx49x7949/cXX1xfXrl2DTqdLdX9PT0+0bNkSLVu2RJ06dWBhYWGw90zGJzo6GnPnzsX06dMRHh4OAPD29sZPP/2E5s2bm+zfdCIiIiJ6OyZlDIhJGSJ6l/Pnz2PAgAHw9fUFADRs2BArVqyAm5ubypGRMUlMTMTgwYOxZMkSAED79u2xbNkyk+s37+Pjgx49euDp06ewtLTEjBkzMGjQIJ6sIspA9+7dQ+vWrXHnzh3Y2Njgr7/+Qrt27dQOK0PpdDqcOXMGGzZswN9//w1/f3/9bWZmZqhatSqaNm2KunXrokKFChm+jx4VFYVz587h9OnTOHz4MI4fP47k5GT97fny5UPHjh3RtWtXVKtWjZ9xJiwmJgaLFy/Gzz//jODgYACAl5cXJk2ahPbt2/N7T0RERJSNMSljQEzKENGbREREYOzYsViwYAEURYGjoyOmTZuGvn37wszMTO3wyAgpioLFixdj6NChSExMhLu7O9atW4dq1aqpHdoHS0hIwA8//ICZM2dCURQUK1YMa9asQZUqVdQOjcgkhYeHo2PHjjhw4AAAYMqUKRg9enSWP0H89OlTrFq1CitWrMDDhw/11+fKlQtt27ZF69at0ahRo0xPaEdERGD//v3YtWsXdu7ciZCQEP1tHh4e6N69O/r06cMFGSYkNDQU8+fPx9y5c/Xf7+LFi2PChAno1KkTzM3NVY6QiIiIiNTGpIwBMSlDRP+UlJSE3377DRMnTkRQUBAAoFu3bpgxYwby5cuncnSUFVy8eBGdOnXCgwcPYGFhgalTp2L48OFZNpl35coVfPHFF7h27RoA4Msvv8TMmTNhZ2encmREpi05ORnDhg3D/PnzAQCtW7fG8uXL4ezsrHJk6ZOQkIDt27dj2bJl2L9/v37Oi729Pdq2bYuOHTuiSZMmsLa2VjlSkZSUhIMHD2LNmjXYunWrfq6ImZkZmjdvjv79+6N58+Zsb5ZF+fv7Y+bMmViyZAliYmIAAEWLFsWYMWPQvXt3WFpaqhwhERERERkLJmUMiEkZIgKkymHjxo344YcfcP/+fQBAyZIlsXDhQjRs2FDl6CiriYyMRL9+/bB+/XoAMiR46dKlKF68uMqRpV1MTAwmTJiAmTNnQqvVIm/evPj999/Rpk0btUMjylaWLFmCwYMHIzExEQULFsSyZcvQrFkztcP6T1euXMHy5cuxevVqhIaG6q+vV68eevfujU8//RQ2NjYqRvjfYmNjsW3bNixduhQ+Pj766wsVKoQ+ffqgT58+KFy4sIoRUlrdunULM2fOxKpVq5CUlAQAKFeuHEaPHo3PPvuMSTYiIiIieg2TMgbEpMybvXz5Ennz5lU7jGxJq9Xi5cuXCAgIQGBgICIiIhAZGYnIyEhERUXpv46Pj4dWq9VfAMDKykp/sba2Ru7cuZE7d27kyZMn1df58+dH3rx5s3wblIyg1WqxdetW/Pzzz7hw4QIAwMXFBePHj0ffvn25YpLem6IoWLp0KYYNG4bY2FjkyJEDkyZNwtChQ43+5M/evXvx1Vdf4fHjxwCAzz77DPPnz4eLi4u6gRFlU1euXEGnTp1w584dAEDPnj0xY8YM5MmTR+XIUgsNDcWaNWuwYsUK/Sw2AHB1dUXPnj3Rs2dPFCtWTMUI39/du3exdOlSrFy5Uj97xMzMDG3atMHAgQPRsGFD7lcZmeTkZOzYsQPz58/H4cOH9dfXqVMHo0ePRrNmzfg9IyIiIqK3YlLGgJiUeZ1Wq4WzszPy5MmDJk2aoEmTJmjQoAEcHBzUDs0kxMbG4uHDh3j48CEePHiABw8e4MmTJ3j+/DkCAgLw4sUL6HQ6g8eRI0cOuLq6onDhwnBzc0PhwoVRpEgRlCxZEp6ennB2djbpA9W4uDisXLkSM2fO1FfG2NnZYeTIkRg+fDhbM1GGefjwIfr164dDhw4BACpVqoTffvsN3t7eKkf2uvv372PMmDHYuHEjAKBw4cJYsGABWrVqpXJkRBQTE4OxY8dizpw5UBQFefLkwcSJE9G/f39VE71arRb79+/HihUrsG3bNiQmJgIALC0t0a5dO/Tu3RuNGzc2mRkdCQkJ2LJlC5YsWYIjR47ory9VqhQGDhyI7t2785hCZUFBQfj999+xePFiPH36FMCrBNrIkSNRo0YNlSMkIiIioqyASRkDYlLmdTdv3kT58uX1pf0AYG5ujqpVq6Jp06Zo0qQJKlWqZPQrvdWkKApevHiBmzdv4saNG7h58yZu3ryJe/fu4fnz5//5eDMzM+TLlw8FChRA7ty5YW9vj1y5cukv9vb2yJkzJ8zNzfUXQPqgJyYmIjExEXFxcQgPD0dYWBhCQ0MRGhqKsLAwhISEIDg4GP/1ceHo6AhPT0/9pXTp0vDy8kKxYsWy7PdeURRcuXIFq1atwurVq/UrXfPkyYOBAwdi0KBBnBtDBqEoClasWIHhw4cjIiICGo0Gn3/+OSZNmoQiRYqoHR4CAwMxadIk/Pbbb0hOToaZmRmGDBmCiRMnMkFJZGROnjyJAQMG4Pr16wCAEiVK4Mcff0SXLl0y7e+zoii4du0a1q5diz/++AMBAQH628qXL49evXqha9euWW7+TXrdvHkTCxcuxKpVq/SzZ+zs7NC9e3cMHDgQXl5eKkeYfWi1Whw+fBgrV67E33//rU8OOjs748svv8SAAQPYao6IiIiI0oVJGQNiUubNoqKicPToUezfvx/79+/Xt8tI4ejoiAYNGqBu3bqoXbs2Pv74Y5NZAZkeKcmXlMTLP//9Z//0f3NwcECxYsVQrFgxFC1aFB4eHihYsCAKFiyIAgUKIF++fAY9sZKYmAh/f3/4+fnh6dOn+n8fPHiAu3fvws/P761JG0tLS5QsWVKfpEn5t2TJksiRI4fBYv4Qjx49wubNm7Fq1Sr9sHIAKFKkCL799lv06tULtra2KkZI2UVAQABGjBiBtWvXApCWgwMHDsSYMWNUOXn54sULzJ8/H7NmzdIPPG7RogWmTp2Kjz/+ONPjIaK0SU5Oxm+//YZx48YhJCQEAODu7o6vv/4avXv3NsjniaIouHjxIjZt2oS///5bX2UKAE5OTvj888/Rq1cvlC9fPsNf29hFRkbizz//xPz583H79m399Q0aNMCgQYPQunXrLLugxdjdvHkTf/zxB1avXg1/f3/99VWqVMGgQYPQoUMHo90/JSIiIiLjxqSMATEpkzZPnjzBgQMHsH//fhw8eBBhYWGpbre3t0eNGjVQq1Yt1K5dG5UqVTKpk9yKoiAgIAC3bt3SV72kJGDelnzRaDQoWrQoypQpAy8vL5QpUwYlS5ZEsWLFkCdPHqNuDRYXF4d79+7hzp07uHv3Lm7fvo1bt27h1q1biI2NfeNjzMzMULRo0VSJmtKlS6N06dKZvtI+Ojoax48fx969e7F3717cvXtXf5u1tTXatm2L7t27o2nTpjxJQqq4ePEivvvuO31LM1tbW/Tp0wdDhgxB0aJFDf76vr6+mDNnDtatW6dfTVylShVMmzYN9erVM/jrE1HGiIqKwoIFC/Drr7/qkzMWFhZo0qQJOnTogCZNmqBgwYLv9dyKouDBgwc4fPgwfHx84OPjgxcvXuhvt7a2RrNmzfDFF1+gVatWsLa2zpD3lJUpioLDhw9jwYIF2LZtm74drZubGwYMGIC+ffuyIjcDBAQEYNOmTfjjjz/08wABIHfu3OjSpQt69uyJypUrqxghEREREZkCJmUMiEmZ9NNqtbh48SIOHTqE48eP4+TJk4iMjEx1HzMzM3h6esLb2xsVKlSAt7c3vL29kTt3bpWiThutVotHjx7pExA3b97ErVu3cPv27dfeYwqNRoNixYrpEy8pSZhSpUohZ86cmfwODEun0+Hp06f6/5d//hseHv7Wx7m5ucHLy0ufqClSpAhcXV3h6uoKe3v7944nMTERT58+xePHj3H16lVcvHgRvr6+uH37dqpKHwsLC9SoUQNdu3ZFx44djf7nkLIHRVFw4MABjB49GpcuXQIgnyeNGjVC79690bp16wxNboeFhWHz5s1YuXIlTpw4ob++atWqGDlyJD755BOjThYT0dvFxcVh7dq1WLBgAXx9fVPd5unpiYoVK6JcuXLw8PCAm5sbHBwcYGdnB0VRkJiYiLCwMLx8+RL37t3T7wPdunULL1++TPVcNjY2aNmyJT799FO0aNHig/6Gmzo/Pz8sXrwYS5cu1bdLtbKyQseOHTFo0CBUqVKFn7np8ODBA2zevBlbtmzB6dOn9ddbWFigRYsW6NGjB1q2bMnkIBERERFlGCZlDIhJmQ+n1Wpx/fp1HD9+HCdOnMCJEydStQ/4p8KFC6NUqVL6YfIlS5ZEkSJF4ObmlikJDJ1Oh9DQUDx79gwPHz7Eo0eP8PDhQ/3Xjx490q8a/zczMzMUK1YMpUuX1idfypQpA09PT5NLvqSXoigIDAx8LVFz69atVKtq3yRXrlzIly8fcufOjdy5c8PR0RH29vawsLBINS8nOjoaUVFRiIqKQkREBJ4+fYqAgIC3tlkrXLgwmjVrhmbNmqFBgwZwcHDI8PdNlBEURcHBgwcxY8YM7Nu3T399jhw59HO86tevD09PT5iZmaX5eRMTE3HlyhUcPXoUe/bswfHjx/WzwiwsLNChQwcMGTIEVatWzfD3RETquXXrFtavX4/du3fjwoUL/zlD7l0sLS1RrVo11K9fHw0aNEDVqlXZCiqd4uPjsXHjRsyfPx/nzp3TX+/t7a2fvePk5KRihMZJp9Ph0qVL2LlzJzZv3oyrV6+mur1atWro0qULunTpgrx586oUJRERERGZMiZlDIhJGcMIDAzEpUuX4Ovrq//30aNH73yMs7Mz3Nzc4OLiAmdnZ/3FwcEBNjY2+ouVlVWqlYU6nQ6xsbGIiYlJdYmOjkZwcDBevHiBwMBAvHjxAkFBQUhOTn5nHDly5NAPtv/npUSJElx99x5CQkJSVR7dvn0bT58+xbNnzxAREfHBz58jRw64u7ujVKlSqFixIipWrIgKFSogf/78GRA9UeZ6+PAhli9fjrVr1+Lhw4epbrO3t8fHH3+M4sWLw93dHU5OTrC3t4e5uTmSkpIQGRmJoKAgPHnyRN9yMD4+PtVzlC1bFl26dEH37t1RqFChzHxrRKSCkJAQnDt3Dr6+vrhx4waePHkCf39/REZGIiYmBmZmZrCwsICjoyOcnJzg4eGRat/Hy8sLNjY2ar8Nk3H+/HksWLAA69atQ0JCAgBJfLVp0wY9evRA06ZNYWVlpXKU6nn27FmqdskpFUYAYG5ujvr166N9+/Zo167de7flIyIiIiJKKyZlDIhJmcwTFhaGGzdu4M6dO/rLvXv34Ofnpx8wnVny5s0LDw8PFC1aFEWLFtV/7eHhgcKFC+urM8iwoqKi8OzZMwQHByM8PBxhYWEICwtDTEwMtFotkpOTodVqoSgK7OzsYG9vD3t7e+TKlQuFChWCu7s78uXLx/YfZHIURcHVq1exY8cO+Pj44NSpU68lWNIiT548qF69Opo0aYJmzZqhZMmSBoiWiIjSIzg4GGvXrsWKFSv07SsBwNHREe3atUPHjh3RsGFDk0/QBAQE4OTJkzhx4gQOHTqEGzdupLrd3t4eDRo0QPv27dG6dWvkyZNHpUiJiIiIKDtiUsaAmJRRn6IoCA8Px9OnT+Hn54fg4OBUl6ioKH0lTGxsrH5lYQqNRgNbW9s3XpycnJA/f364uLjAxcUF+fPnR968eU3+IJeITEtycjLu3LmDK1eu4PHjx/Dz80N4eDgiIyOh0+lgaWkJOzs75MuXD4UKFUKpUqXg5eWFYsWKMWlJRGTErly5gpUrV2LdunUIDAzUX587d240a9YMLVq0QNOmTbN8iy6tVotbt27pkzAnT558rYpeo9GgcuXKaNKkCZo2bYqqVavC0tJSpYiJiIiIKLtjUsaAmJQhIiIiIiI1abVanDx5Ehs2bMDff/+daiZfSrKiYcOGqF27NmrUqGHUs/ISEhJw48YNfQtjX19fXL16FbGxsanup9Fo8PHHH6NmzZqoW7cuGjVqxGoYIiIiIjIaTMoYEJMyRERERERkLLRaLU6fPo3du3djz549uHz5cqrbU5IZ1apVQ7ly5VCuXDmULVsW9vb2mRpnWFhYqrbEKZe7d+8iKSnptfvb2tqiatWqqFmzJmrWrIlq1aoZdXKJiIiIiLI3JmUMiEkZIiIiIiIyVv7+/ti/fz+OHTuGEydO4P79+2+8n7u7u35GooeHB4oUKYK8efPC2dkZTk5OcHJygo2NzVtnJyqKgsTERISHhyMiIgLh4eEIDQ1FQEAAnj17Bn9/f/j7++PZs2d49uwZQkJC3hpz7ty54e3tjQoVKqBChQrw9vZGiRIlOLeRiIiIiLIMJmUMiEkZIiIiIiLKKp4/f44TJ07A19cXV65cwdWrV+Hv75/mx5ubm8PKygrW1tYAgKSkJP0lvYeTBQsWhKenZ6pL6dKl4e7uzplmRERERJSlMSljQEzKEBERERFRVhYcHIzbt2/j0aNH+oufnx+Cg4MREhKC4OBgJCQkpPn5HBwc4ODggNy5c6NgwYIoVKgQChUqBFdXV/3XHh4emd4yjYiIiIgoszApY0BMyhARERERkSlTFAWxsbGIj49HQkICEhMT9UkaS0tL/SVHjhzIlSsXzMzMVI6YiIiIiEhdac0bGO2e87Fjx9C6dWsULFgQGo0GW7duTXW7RqN542X69Olvfc6VK1e+8THx8fEGfjdERERERERZh0ajga2tLZycnFCwYEEUKVJE326saNGicHNzQ/78+eHo6MiEDBERERFROhjt3nNMTAzKlSuH+fPnv/H258+fp7osX74cGo0Gn3766TufN1euXK89NkeOHIZ4C0RERERERERERERERHoWagfwNs2bN0fz5s3fenv+/PlTbW/btg3169dH0aJF3/m8Go3mtccSEREREREREREREREZmtEmZdLjxYsX2LVrF1atWvWf942Ojoa7uzu0Wi3Kly+PSZMmwdvb+52PSUhISDXkMiIiAoD0iCMiIiIiIiIiIiIiouwtJV+gKMo772cSSZlVq1bB3t4en3zyyTvvV6pUKaxcuRJly5ZFZGQk5syZg5o1a+LKlSsoUaLEWx83depUTJgw4bXr3dzcPjh2IiIiIiIiIiIiIiIyDVFRUXBwcHjr7Rrlv9I2RkCj0WDLli1o167dG28vVaoUGjdujHnz5qXreXU6HSpUqIA6depg7ty5b73fvytldDodQkND4eTkBI1Gk67XJDIWkZGRcHNzw9OnT5ErVy61wyEyKfz9IjIc/n4RGQ5/v4gMh79fRIbD3y8iw+HvV/ooioKoqCgULFgQZmZmb71flq+UOX78OO7cuYP169en+7FmZmaoXLky7t279877WVtbw9raOtV1jo6O6X49ImOUK1cufqgSGQh/v4gMh79fRIbD3y8iw+HvF5Hh8PeLyHD4+5V276qQSfH2dE0WsWzZMlSsWBHlypVL92MVRcHly5dRoEABA0RGRERERERERERERET0itFWykRHR+P+/fv67UePHuHy5cvIkycPChcuDEDKpzZu3IgZM2a88Tm6d++OQoUKYerUqQCACRMmoFq1aihRogQiIyMxd+5cXL58GQsWLDD8GyIiIiIiIiIiIiIiomzNaJMyFy5cQP369fXbw4cPBwD06NEDK1euBACsW7cOiqKgS5cub3wOPz+/VL3bwsPD0a9fPwQGBsLBwQHe3t44duwYqlSpYrg3QmSkrK2tMX78+Nda8xHRh+PvF5Hh8PeLyHD4+0VkOPz9IjIc/n4RGQ5/vwxDoyiKonYQREREREREREREREREpi7Lz5QhIiIiIiIiIiIiIiLKCpiUISIiIiIiIiIiIiIiygRMyhAREREREREREREREWUCJmWIiIiIiIiIiIiIiIgyAZMyREREREREREREREREmYBJGSIiIiIiIiIiIiIiokzApAwREREREREREREREVEmYFKGiIiIiIiIiIiIiIgoEzApQ0RERERERERERERElAmYlCEiIiIiIiIiIiIiIsoETMoQERERERERERERERFlAiZliIiIiIiIiIiIiIiIMgGTMkRERERERERERERERJmASRkiIiIiIiIiIiIiIqJMwKQMERERERERERERERFRJmBShoiIiIiIiIiIiIiIKBMwKUNERERERERERERERJQJmJQhIiIiIiIiIiIiIiLKBEzKEBERERERERERERERZQILtQPIinQ6HQICAmBvbw+NRqN2OEREREREREREREREpCJFURAVFYWCBQvCzOzt9TBMyryHgIAAuLm5qR0GEREREREREREREREZkadPn8LV1fWttzMp8x7s7e0ByH9urly5VI6GiIiIiIiIiIiIiIjUFBkZCTc3N33+4G2YlHkPKS3LcuXKxaQMEREREREREREREREBwH+OPHl7YzMiIiIiIiIiIiIiIiLKMKyUISIiIiIiIiKi9/LsGXDpEvDgARAcDFhaAnZ2QOnSQLlyQKFCakdIRERkXJiUISIiIiIiIiKiNAsKAhYvBjZtAq5effd9y5YFPvkE6NkTKFIkM6IjIjIuWq0WSUlJaodBGcDS0hLm5uYf/DwaRVGUDIgnW4mMjISDgwMiIiI4U4aIiIiIiIiIsoWXL4Fx44AVK4CEBLnOzEwSLyVKAC4uQHIyEBYG3LgB3L4NaLVyP3NzoGNHYOxYwMtLvfdARJRZFEVBYGAgwsPD1Q6FMpCjoyPy58//xrkxac0bsFKGiIiIiIiIiIjeSlGA338HvvtOEi4AUKUK8PXXQMuWgLPzmx8XGgrs3An88Qdw6BCwdi2wYQPwzTfA+PGAo2OmvQUiokyXkpDJly8fbGxs/nP4Oxk3RVEQGxuLoKAgAECBAgXe+7lYKfMeWClDRERERERERNlBeDjQqxewdatsly8PzJ4N1KkDpOf84qVLwIQJwLZtsl2okCRrGjTI2HiJiIyBVqvF3bt3kS9fPjg5OakdDmWgkJAQBAUFoWTJkq+1Mktr3sDM0EESEREREREREVHWc/MmUKmSJGSsrICZM4Hz54G6ddOXkAEAb295nn37pNWZvz/QqBEwevSrFmdERKYiZYaMjY2NypFQRkv5nn7InCAmZYiIiIiIiIiIKJWzZ4HatYEHDwB3d+DkSWDYMMDiAxvhN2kiVTP9+klbtGnTgFatpCKHiMjUsGWZ6cmI7ymTMkREREREREREpOfjAzRsKDNhqlYFLlyQipmMYmsLLFkCrF8P5MwJ7N0LVKsGPHmSca9BRERkrJiUISIiIiIiIiIiAFIh07o1EBMjVS0HDwLOzoZ5rY4dpQLHzQ24cweoWVNaphEREZkyJmWIiIiIiIiIiAjXrwPNm0tCpnFjYPt2wM7OsK/p7Q2cOgV4ecmcmdq1pb0ZERGZriJFimD27Nlqh6EaJmWIiIiIiIiIiLK5Fy+AFi2AsDBpJbZ5M2BtnTmv7eoKHDsmrdJCQ4FGjYDLlzPntYmI6JWePXtCo9G8drl///5rt1taWqJo0aIYMWIEYmJiPuh1ixQp8tprurq6vvG+33zzDUqUKPHG2/z9/WFubo6ZM2e+8X3883LkyBEAwLNnz2BlZYVSpUp90HtID5NKykyePBk1atSAjY0NHB0dX7v9ypUr6NKlC9zc3JAzZ06ULl0ac+bMyfxAiYiIiIiIiIiMREIC8MknwNOnQIkSwK5dhq+Q+TcnJ2D/fkkIhYbKTJsbNzI3BiIiApo1a4bnz5+nunh4eLx2+8OHD/HTTz9h4cKFGDFixAe/7sSJE1O95qW3lE326dMH9+/fx/Hjx1+7beXKlXBycsKXX36Z6rmqV6/+2nU1atTQP6Zjx46IjY3FyZMnP/h9pIVFprxKJklMTESHDh1QvXp1LFu27LXbL168iLx582L16tVwc3PDqVOn0K9fP5ibm2PQoEEqRExEREREREREpK6BA6WFmIMDsGMHkCePOnHkygXs3SuzbM6dA5o1A06flkoaIqKsTlGA2NjMf10bG0CjSfv9ra2tkT9//jTd3rVrV/j4+GDr1q1YtGjRG+8fFBSEPn364ODBg8ifPz9++umnN97P3t7+na+bonz58qhQoQKWL1+O2rVrp7pt5cqV6N69O+zt7WFvb6+/3srKCjY2Nq89v6IoWLFiBRYuXAhXV1csW7YMNWvW/M8YPpRJJWUmTJgAQP7z36R3796ptosWLYrTp09j8+bNTMoQERERERERUbbz55/AsmWAmRmwfj3g6aluPA4OwJ49QM2awO3bkpg5fhzInVvduIiIPlRsbOZXIQJAdDRga2u458+ZMyeSkpLeenvPnj3x9OlTHD58GFZWVhg8eDCCgoI+6DX79OmDUaNGYd68ebD7///Uo0eP4v79+6/lAN7Fx8cHsbGxaNSoEVxdXVG1alXMmTMnVULHEEyqfdn7iIiIQJ7/WAKSkJCAyMjIVBciIiIiIiIioqzs9m3gq6/k63HjgKZN1Y0nRZ48UjFTsKC0MGvXDoiPVzsqIqLsYefOnbCzs9NfOnTo8Nb7njt3DmvWrEHDhg3fePvdu3exZ88e/P7776hevToqVqyIZcuWIS4u7rX7fvfdd6led+7cuW993a5du0Kr1WLjxo3665YvX47q1avDy8srze912bJl6Ny5M8zNzVGmTBkUL14c69evT/Pj35dJVcqk1+nTp7Fhwwbs2rXrnfebOnWqvgqHiIiIiIiIiCirS0gAOnUCYmKABg2AsWPVjig1d3dJzNSqBRw7BnTrJpU85uZqR0ZE9H5sbKRqRY3XTY/69eunakVm+68ym5SkTXJyMpKSktC2bVvMmzfvjc9169YtWFhYoFKlSvrrSpUq9cZ58CNHjkTPnj31287Ozm+N0dHREZ988gmWL1+OXr16ISoqCps2bcLs2bPT9iYBhIeHY/PmzThx4oT+um7dumH58uXo27dvmp/nfRh9UuZ///vffyZEzp8/n+obmxY3btxA27ZtMW7cODRu3Pid9/3+++8xfPhw/XZkZCTc3NzS9XpERERERERERMbif/8Drl4F8uYF/vrLOJMdZcsC27ZJBc+mTcCIEcCsWWpHRUT0fjQaw7YRyyi2trYoXrz4W29PSdpYWlqiYMGCsLS0fOt9FUUBAGjSMNTG2dn5na/7b3369EHDhg1x7949HD16FADQqVOnND9+zZo1iI+PR9WqVVPFq9PpcPPmzXRV3KSX0SdlBg0ahM6dO7/zPkWKFEnXc968eRMNGjTAl19+ibFpWApibW0Na2vrdL0GEREREREREZExOnUK+OUX+fq334A0zFVWTb16MvemUydg9mxJ1KRjXAAREWWw/0ra/FPp0qWRnJyMCxcuoEqVKgCAO3fuIDw8/IPjqF+/PooWLYqVK1fCx8cHHTt2TNcsmGXLluHbb79NVZ0DAIMHD8by5cvx66+/fnCMb2P0SRlnZ+d3liql140bN9CgQQP06NEDkydPzrDnJSIiIiIiIiIydnFxQI8egE4HdO8u81qMXceOwK1bUt0zYABQsqS0NSMiIuPm6emJZs2a4csvv8Rvv/0GCwsLDB06FDlz5vzg59ZoNOjVqxdmzpyJsLAwTJ8+Pc2PvXz5Mnx9ffHXX3+hVKlSqW7r0qULfvjhB0ydOvWdVUAfwswgz6oSPz8/XL58GX5+ftBqtbh8+TIuX76M6P9v1nfjxg3Ur18fjRs3xvDhwxEYGIjAwEC8fPlS5ciJiIiIiIiIiAxvwgTg/n2gUCFgzhy1o0m7H38EPvsMSEoCPvkEePJE7YiIiCgtVqxYATc3N9StWxeffPIJ+vXrh3z58mXIc/fs2RMRERHw9PREzZo10/y4ZcuWwcvL67WEDAC0a9cOoaGh2LFjR4bE+CYaJaWxmwno2bMnVq1a9dr1Pj4+qFev3lvn07i7u+Px48dpfp3IyEg4ODggIiICuXLl+pCQiYiIiIiIiIgyxeXLQKVKgFYrs1ratFE7ovSJiZEKmcuXgXLlgBMnADs7taMiInpdfHw8Hj16BA8PD+TIkUPtcCgDvet7m9a8gUklZTILkzJERERERERElJVotUC1asCFC1JxsnGj2hG9Hz8/oHJlICgI+PRTeR9pmB9NRJSpmJQxXRmRlDGp9mVERERERERERPS6pUslIePgAMydq3Y0769wYWDLFsDKCti0CZgyRe2IiIiI0odJGSIiIiIiIiIiExYWBowdK19PmgQUKKBuPB+qRg1gwQL5+scfgV271I2HiIgoPZiUISIiIiIiIiIyYePHAyEhQJkywFdfqR1NxujbFxgwAFAU4PPPgXv31I6IiIgobZiUISIiIiIiIiIyUdevAwsXytdz5gAWFurGk5HmzAFq1gQiIoB27YCoKLUjIiJKjePcTU9GfE+ZlCEiIiIiIiIiMkGKAgwdCmi1QPv2QMOGakeUsaysgL//BgoWBG7eBHr0AHQ6taMiIgIsLS0BALGxsSpHQhkt5Xua8j1+Hya0PoKIiIiIiIiIiFJs2QIcOgRYWwMzZqgdjWHkzw9s3gzUqSPvd8qUV/NziIjUYm5uDkdHRwQFBQEAbGxsoNFoVI6KPoSiKIiNjUVQUBAcHR1hbm7+3s/FpAwRERERERERkYmJiwO+/Va+HjkS8PBQNx5DqlpVWrT17QuMGweULw+0aqV2VESU3eXPnx8A9IkZMg2Ojo767+37YlKGiIiIiIiIiMjEzJkDPH4MuLoCo0erHY3h9ekD+PpKcubzz4Fz5wBPT7WjIqLsTKPRoECBAsiXLx+SkpLUDocygKWl5QdVyKRgUoaIiIiIiIiIyISEhgI//yxfT5kC2NqqG09mmTULuHoVOHECaNcOOHsWyJVL7aiIKLszNzfPkBP5ZDrM1A6AiIiIiIiIiIgyztSpQEQEUK6cVI1kF1ZWwN9/A4UKAbdvA927Azqd2lERERGlxqQMEREREREREZGJ8PMD5s2Tr6dOBcyy2ZkfFxdg82bA2hrYtg346Se1IyIiIkotm/1pJiIiIiIiIiIyXePHAwkJQL16QLNmakejjipVgEWL5Ovx44EdO9SNh4iI6J8MPlMmISEB1tbWhn4ZIiIiIiIiIqJs7fp14I8/5Otp0wCNRt141NSrF3DxIrBgAdCtG3DmDFC6tNpREX2Y6Gjg/Hng1i3g/n0gJASIigIURWZH5ckDFC0KeHoClSsDzs5qR0xEb5LhSZl9+/Zh7dq1OH78OPz8/KDT6WBjY4MKFSqgSZMm6NWrFwoWLJjRL0tERERERERElK2NGSMzVD79VKpFsrtZs4Br14Bjx4CWLSUxky+f2lERpc/duzIrads2STRqtWl/rKcn0KIF0KYNULs2wFnzRMZBoyiKkhFPtHXrVnz33XeIiIhAixYtUKVKFRQqVAg5c+ZEaGgorl+/juPHj+P06dPo2bMnJk2ahLx582bES2e6yMhIODg4ICIiArly5VI7HCIiIiIiIiLK5k6ceHXS9cYNORlLwMuXQLVqwMOHQNWqgI8PkDOn2lERvVtSErBpk1R6nTiR+jY3N8DbGyheHMifH7C3l6q4mBggKAh48ECSkXfupH6cqyvQsyfQr588BxmviAjg+XP5fsbFAcnJgKUl4OAA5M0r3z9LS7WjpDdJa94gw5IyVapUwY8//oiWLVvC7B1T5Pz9/TFnzhy4uLjg22+/zYiXznRMyhARERERERGRsVAUoE4dOXnbvz+weLHaERmXO3eA6tWBsDCpItqwAXjHqSsi1SQnA3/+Cfz0kyQSAUm0NmokP7tNmwKFC6ftuUJDgSNHZKbStm3y8w8AFhZAp07A998DZcoY5G1QOsTESDXfiRNSzXfzJhAY+O7HmJkBRYpIcq5yZaB+faBiRVZCGYNMT8pkJ0zKEBEREREREZGx2L9fTtZaW8sq+UKF1I7I+Bw7BjRuDCQmAiNGANOnqx0RUWoHDwJDhshJeUBa7X31FfDllx/+Ox0fD2zfLglbHx+5zswM6N0bmDgRKFDgw56f0icyUiqhNm4EDh8GEhJev09KVYydnSRbEhPlcS9eyPfz3xwdgVatJHnXvLn8PaDMx6SMATEpQ0RERERERETGQFGkPde5c8DQoTJHhd5szRrg88/l63nzgEGD1I2HCJAWVYMGyQl6AHByAkaPloSMrW3Gv97Fi8DUqZIUAAAbG0lUjhwpCQAynPPngfnzpVrvn4mVIkWAevWAGjWAcuWAUqWAt51y1ukkMXPrlnwvT52SRFtExKv75M0rCbf+/QEPD0O+I/o3o0zKbNu2DREREejevXtmvaRBMClDRERERERERMZg506gdWs5sfrwIeDionZExm3yZGDsWPl65UqgRw9Vw6Fs7u+/gQEDgJAQqYYYOBD43/+A3LkN/9qnT0sy5tQp2S5QAFi0CGjb1vCvnZ0oilTD/O9/qecDlSoFdOsGtG8PlC4tc4HeV3IycPasJNrWrwcCAuR6jQZo1kwqsJo0+bDXoLQxyqRMqVKlcO/ePWi12sx6SYNgUoaIiIiIiIiI1KbTAZUqAZcuAaNGAdOmqR2R8VMUYNgwYM4cad+0bh3QoYPaUVF2k5AAfPstsGCBbJcrB6xYITNCMpOiAFu2AN99B9y/L9d16gTMnSvt0+jDHDkCjB8v7RMBwMoK6NhRkm9VqxomSZKcLHOEFi0CDhx4dX21apIYYnLGsIwyKWMqmJQhIiKif1IUIDxchmnGxMh1NjbS19fJiTu9REREZBibNgGffSYthx49Apyd1Y4oa1AUoF8/4PffZej5li0yi4EoMzx+LCfmz5+X7e+/l5PlVlbqxRQfD0yYILOWtFo5hpkzB+jalccy7+PaNWknefiwbFtZSSux0aOBggUzL4579yTxt2TJq3Zp1avLHKFGjTIvjuyESRkDYlKGiIgoe3vyRFYdnTsnfXzv35ehi2+SM6f08fX2BipWBBo2BMqW5cENERERfRitVlbX37gh7bgmTVI7oqxFqwW6d5c5M9bW0gaOJynJ0HbtAr74AggLA/LkAf78E2jRQu2oXrl4EejTB7hyRbY7dwYWL5ah8/TfwsOlMmbBAvmMsbQEvvxSEm+ururFFRgI/PKLVM+kJGeaNwd+/RXw8lIvLlOkalLmWEpN1lvUqVMno18yUzEpQ0RElP08egSsXi09em/cePN9bG3lotEAcXFvT9Tkzy+9g7t0AWrWlNYZREREROmxdq2sYnd0lP0UR0e1I8p6kpKkYmHrViBHDqmYadZM7ajIFCkKMHOmzHABgCpVZNi7u7u6cb1JUhLw889SOaPVyhD6tWul/RW9mU4HrFolbeBevpTrPv1Ukh5FiqgaWiqBgfK9XbhQvs/m5lLB87//AXnzqh2daVA1KWP2hjMLmn8sBzXUTJnJkydj165duHz5MqysrBAeHp7q9pCQEHz++ee4evUqQkJCkC9fPrRt2xZTpkxJV3KFSRkiIqLsQVGAffuAWbOA/ftfXW9mJmXftWtLH3cvLzmgsrFJ/fiEBMDfH7h9W3q9nzwJHD0KxMa+uk+JEjLcs3dvnkwhIiKitElOBsqUAe7elQqZlMH1lH4JCdICbudOWdW+Zo1sE2UUrVZaWc2fL9sDBgCzZ0uFljE7c0YWkT1+LCfvJ02SpAMXlKX2+LFUF6W0KitVCpg3z7gr7+7dk+/lli2y7eAgiZmBA+VzkN6fqkmZiIiIVNtJSUm4dOkSfvzxR0yePBkNGzbM6JcEAIwfPx6Ojo549uwZli1b9lpSJiwsDOvWrUPlypWRN29e3L9/HwMHDkSFChWwZs2aNL8OkzJERESmTVGA7dul9DyldF+jkdZjX3whPcfz5Hm/505IkIGP69ZJH/ioKLne3h4YNEgGz3KVEhEREb3LqlVAz54y9+HRI9mPoPeXlCT7eOvXyz7fnDnAN9+oHRWZgthYSWxs3y7bM2bI/n5WaWUcESGVFOvXy3bDhsAff2TuXBRjpSjAb79J9VN0tLStnjgRGDxY3flA6XHkCDB8uCwgBCTZP3cu0KCBqmFlaUY5U+bYsWMYNmwYLl68aNDXWblyJYYOHfpaUuZN5s6di+nTp+Pp06dpfn4mZYiIiEzXmTOyku3sWdm2twf69pUDcw+PjH2t6GhZjTl37quWaLlyAT/+mLV25omIiCjzJCUBnp6SjJk2DRg1Su2ITINWKwtkFi+W7aFDpfWQubmqYVEW9vKlLOY6d06qYv78E+jQQe2o0k9RgJUr5fcjNhZwdpbtli3Vjkw9fn5yjHjggGzXqgWsWAEUL65uXO9DqwWWL5e5NyEhct1nn0kCsXBhdWPLitKaN8jUgrO8efPizp07mfmS7xQQEIDNmzejbt2677xfQkICIiMjU12IiIjItISGyorT6tUlIWNrC4wZI+XoM2dmfEIGAOzsgH79gKtXpZe5t7fMoRk5UlYpbd8uB0FEREREKVaskIRMvnzSaoYyhrm5zFn4+WfZnj1bBmGnnKQkSo/AQKBePUnI5MkDHDqUNRMygFT19OoF+PoC5csDwcGSbPr2WyAxUe3oMpeiAMuWAR99JAmZHDmk1fWRI1kzIQPIZ9+XX0o7zIEDpT3d339LG7affgLi49WO0DQZJClz9erVVJcrV65g7969+Oqrr1CuXDlDvGS6dOnSBTY2NihUqBBy5cqF33///Z33nzp1KhwcHPQXNze3TIqUiIiIMsO2bTIXZtUqOejo3Ru4fx+YPPn925Slh5kZ0LYtcOGCrFLKn19ev21bGTb75InhYyAiIiLjl5AgJ8kAWdVsa6tuPKZGo5E5Cxs2yKzAAwdkfuCZM2pHRlmJvz9Qty5w86a0+Tp5EqhZU+2oPpynp/wuDB4s2zNnSoXIw4fqxpVZnj0DWrSQCpmoKKBGDWl1PXSoaVTU5ckjc498fWV2alycdHDgYkHDMEj7MjMzM2g0Gvz7qatVq4bly5ejVKlSaX6u//3vf5gwYcI773P+/HlUqlRJv/1f7csCAwMRHh6OO3fuYMyYMahbty4WLlz41udPSEhAQkKCfjsyMhJubm5sX0ZZVnS0rNa4elVWWAUEyIdtUpK06cmTByhWDChdGqhaFXBxUTtiIiLDCAmRg4qU0XKlS0tSpFo1deOKigKmTJEDncRE+WyeOVMGSGaV/tNERESU8ebPl5aqBQvKAo6cOdWOyHRduwa0aycnnM3NgXHjpIrawkLtyMiY+fnJPI4HD6T10+HDcn7F1GzdKgvZwsKk/fLSpUDHjmpHZRiKIov3hg6VGTvW1rJ4z1SSMW+iKDIDdcQIOWcIyGLBOXOAkiXVjc3YqTpT5sm/lnOamZkhb968yJEjR7qfKzg4GMHBwe+8T5EiRVI9d3pmypw4cQK1a9dGQEAAChQokKaYOFOGsqJHj6T8cPNmScjodGl/bOnSUrbdqRNQuTJPCBKRaTh0CPj8c+DFC6lUGTkS+N//pATdWNy7J60CTp6U7ebN5YCnUCF14yIiIqLMFxsrJ3cDA4FFi4ABA9SOyPSFhwNffw2sXSvb5cvLvtg/1gUT6T1+DNSvL/8WKQL4+Mi/psrPD+jSBTh1Srb795dWXqaULA4IkHbTu3bJdtWqMk8nHfUGWVp0tCSgZsyQhdyWlpKM+v57IHdutaMzTqomZdSWnqTM8ePHUadOHTx69AhF0vhJyaQMZRWKAuzeLaup9u1LXWpYuLAkWIoVA1xdpezdwkJmGbx8Kb0kr1+XwdP/fFyJEtJjskcPwNEx098SEdEH0+mkCmXcOPl8K11aerNXrap2ZG+m1UpP8x9+kJYljo5SzdO+vdqRERERUWb69VdZRFKkCHDnDmBlpXZE2YOiAH/9JdXVYWGymKdvX2DCBGk5SwRIZUz9+sDTp3KexccHyA7TD5KSgPHjZRaTogBlywLr18sxVlamKMDq1fJ7Hx4un7eTJgHDh2fParm7dyUZs2ePbOfOLcenAwca16JGY2CUSZkLFy4gNjYWderUMcjz+/n5ITQ0FNu3b8f06dNx/PhxAEDx4sVhZ2eH3bt348WLF6hcuTLs7Oxw8+ZNjBo1Co6Ojjhx4kSaX4dJGTJ2iiL9HidMAC5denV9gwbAZ5/JQLa07hyEhsrOxN9/Azt2ADExcr29vZTNDx8OODll/HsgIjKE4GDgiy+AvXtlu3dvSVxnhdVct25JQvz8edkePlwOfiwt1Y2LiIiIDC8qCvDwkNarK1YAPXuqHVH28+KF7H+ltL21tZVj4qFD2fI7u7tzR863BATI3JVDh7JfZfuBA0C3bkBQkMxjmjdPKv6zYqcVf3+pkNu+XbYrVZL2ZV5e6saltpSF3999Jwu4AWnPV7++unEZG6NMypQuXRp3796FVqs1yPP37NkTq1ateu16Hx8f1KtXDz4+Pvjhhx9w8+ZNJCQkwM3NDZ988glGjx4Nx3Qs+WdShozZlSvAkCHA0aOybWcnpZZff/3hfUyjo2WF0Lx5rz6A7e2lbHHYMGbHici4Xbgg1SXPnkkSZuHCrHdCIylJepn/+qtsV68uK9Gywyo8IiKi7Oynn2TgcsmSciyWHVdqG4sTJ2TOwtmzsm1tLS1x+/aVuYRZ8SQ0vb+bN4GGDaWtoJeXJGSyawVVYKAsgDt4ULZbtQKWLJEZWFmBTifxjh4tXWQsLaW99ahR/Mz9J60W+OMP+SxctkztaIyPUSZlAgICkJSUBHd398x6SYNgUoaMUWystOKZNUv+kOTIISt2vv0WcHbO2NfS6V5V4ly+LNe5u8sJzhYtMva1iIgywubNsnIrLk5OZvz9t5TWZ1Vbt0pCKSJCqhXXrQMaNVI7KiIiIjKEsDCpkomIkNkmnTurHREpinSSmDoVOHPm1fUlSgCffAK0bi3twtlizrRduyYJmZcvgY8/lmRE3rxqR6UunQ745Rc5P5WUJK2X586VYzFjTljeugV8+eWrWZ5VqwK//w589JG6cVHWY5RJGVPBpAwZmzNnZDXC/fuy3aEDMH26JEoMSaeT0u3vv5eV54D8oZ01K+MTQURE70NR5PPwu+9ku3lzSWCYwp/vhw+lJeWlS4C5OTBzprTQMOaDHSIiIkq/sWNl0PJHH0lnBDMztSOiFIoiQ86XLgU2bJAFQClsbOTEbvnyQJkyMsu1UCGpGsid++37bMnJ0jY8Nlb+TblER6f+Ny7u1fxXjUYudnby3CmXggWBfPm4f2gIly4BjRtLS8EKFYD9+9na/Z+uX5dFZBcvynbr1tJ1xdjW6UdGyufr7NlAYqK0JZw6VbrNmJurHR1lRUaTlImLi0NSUlKq67J6IoNJGTIWiiIn4UaPlh23QoWk1LJly8yNIyZGVkHMni2Jmrx5ZUZDhw7c+SMi9SQlyc7077/L9qBBkjQ2pdLz+Higf38pHwdkddf8+VyVSUREZCpevpQqmZgYYMsWoF07tSOit4mKkiHYmzdLxURIyNvva2kpbc8sLORibg4kJMj3+V+n0D5YrlxSKV6ihLTXqlVLkkVZYaaisTp/HmjSRAbAV6kC7NsnFSGUWlKSVM1MmCBf58ghi+VGjZKkpZq0WmD5ckl6BwXJdS1aAIsWAYULqxsbZW2qJmViY2MxatQobNiwASFv+CtkqJkymYVJGTIGYWGy6iBl8FjHjpKQUXNH4OxZoE+fV/NmOnWSmBwc1IuJiLKnsDBJDB86JKtJZ8+WKhJTpCjAjBlycKMoQO3awKZNbJ1ARERkCkaMkL/zFSvKiWAuessadDo5Lj5/Xlp+37kDPH8ug+Dflaz5J41GVu3b2koFzL//zZnz1c+DoshrRkXJfnB4OBAaCrx48aqa5p8sLSWZUKeOJPoqV+bPVlqdPg00ayYVFjVqyOBznvN4t+vXZYFcyuxjV1dJ1nTunPk/dynD6n/4QSoPAUlazpghC5z5e0AfStWkzMCBA+Hj44OJEyeie/fuWLBgAfz9/bFkyRL8/PPP+PzzzzP6JTMVkzKktvPn5WTjkyeyGnr2bGDAAOP445GQAEyZIpfkZFnVtW6d7PAREWWGhw9lh/r2bTlgXbcu8ysI1bB7N9ClixwgenjIdqlSakdFRERE7ysgAChWTCpj9+yRE8GU9cXHSwVUUpIcMycny9fW1pJwsbGRf62tP/wYPz5e9o3v3pXE0KVLwLFjkiD6J3d3OcfQsSNQqZJxnFswRidOSDvk6GhJaO3cCdjbqx1V1qAosnBsxAg5lwVI27dx44A2bQz/M5ecDGzcCPz8M3D1qlzn6AiMHy/dFdhpgDKKqkmZwoUL448//kC9evWQK1cu+Pr6onjx4vjzzz+xdu1a7N69O6NfMlMxKUNq2rAB6NFDdq6KFZPtChXUjup1Z87IycHHj6Uce8oU4Ntv2f+YiAzr1CmgbVsgOFhWYO3cCZQrp3ZUmefWLaBVKzn4zp0b2LZNKmeIiIgo6xk0CFiwAKhZEzh+nCfKKWMoiuwrHjsmc1B27JC2aSm8vORnr1s3Jhz+6dAhSR7ExgINGkjXEltbtaPKeuLipCrl559f/dyVLi1dDb74QhbVZaSwMOCvv2Qx84MHcp2dHfDVV9JpgPOQKaOpmpSxs7PDjRs34O7uDldXV2zevBlVqlTBo0ePULZsWURHR2f0S2YqJmXebNkyGV5XuTKHYRmCosiwsR9+kO1WrYDVq427TDY8HOjXT1YjALKi5M8/OfyOiAxj7VqgVy+p2KtYUQ4wCxRQO6rM9/KlDNI8e1ZWfP3xh7STJCIioqzjyROZAZKUBPj4APXqqR0Rmaq4OKnE2rBB9p9jY+V6e3tpmT5okLR3ys527AA++0wGwTdtKvOdOJPnwwQHy7zPefOk7R4gVWLt20tbswYN3n/uTGSkdA3YtEm+dwkJcr2TEzBkiPxM586dMe+D6N/SmjcwyJr1okWL4vHjxwAALy8vbNiwAQCwY8cOOHLylUmKiJBBw9WrSw/7rl1l1UBiotqRmYaEBDnRmJKQGToU2LrVuBMygJSCrl8vc2Vy5JAdvQoVpP0aEVFGURRg4kT525OQIH2xjx7NngkZQP4OHz4sBzSJiXJQM23am/uJExERkXEaN04SMg0aMCFDhpUzJ/DJJ9LyNyAAmDtXkjBRUXLCvHRp4PPPgZs31Y5UHevWyf9PYqLsX2/bxoRMRnB2BiZPBp49e/UzFxsrVS2tWwN58gCNGsl5sM2bpeVYRITMTkqh0wFBQYCvrywAHjECqFZNHtulC/D333J8WK6c/Cw/eQL8+CMTMmQcDFIpM2vWLJibm2Pw4MHw8fFBy5YtodVqkZycjJkzZ2LIkCEZ/ZKZipUyr3vyRD78DhyQD8kUefJIMmHAAKB4cfXiy8rCw1+dYDQ3lz8kX32ldlTpd+WKrCy5f9/45uAQUdaVkAD07SuVg4D8LZo2ja0SAUCrlbaRc+bI9oAB8jfEwkLduIiIiOjdrlwBvL1lQcW5c9KNgigz6XTSrmvuXGkHDMix+2efyUntsmXVjS+z/P67dP9QFGnntmIF96UNJeXzbvVqqW5JmTvzbxqNVNBotXIs+Laz2p6ekkz77DP5POW5J8osqrYv+zc/Pz9cuHABxYoVQzkTaOzOpMzbJSdLu5RNm6RCIiBArtdopHXK+PEcOpwegYEyzPHKFSkd3rhRSmWzqogISdJt2SLbn38uVTTsw0pE7yM4WFarnTghSeuFC+WgiVKbMwcYNkwOWFq2lNV+Gd2rmYiIiDJOs2bAvn1S7bp2rdrRUHZ3+TLw009yngeQ8ztffAFMmgQULqxqaAajKMAvvwCjR8v2gAEy34kLvzKHogC3b8ssrbNngWvXZA5SSMjr99VopFOApyfw8ceSxK5f33R/Nsn4GVVSxtQwKZM2Wi2wd6/84dqzR64zM5MSwnHj2JP0vzx4ADRpIn94XFzk/7J8ebWj+nCKAsycCXz3nfyMeHnJzh2TdZQdxcdLqfXVq/K77u8vww7j46Xln50dUKgQUKSIzOzy9uawzRS3b8tsrQcPpJXj339LeTu92ZYt0t4tPl7aSO7aBeTPr3ZURERE9G8HDshxoKWl7O8ULap2RETi2jVJxKTMjLW2lvkc338vrctNRXKyzBxZskS2R46USnxWWqgvLk7mxURHy2eklZXMibG0VDsyolcyPSmzbt06dO7cOU33ffr0Kfz8/FCzZs2MeOlMx6RM+l2+DPzvf9J7E5DkTP/+0j+SvRxfd/myrI568UJ2wvfvB4oVUzuqjHX8uFRPPX8uJ56XLQM6dlQ7KiLD8/eXROTWrcDJk+mbvaXRyOqfxo2l4qFOney5WmvvXlk5GhEhCatduyTBS+925oz0Zw4OBtzdZfgl/9+IiIiMh04HVKwox4NDhkjLZyJjc/68JCqOHpVtJydpafbVV3KSPCuLipLzFHv2yLHX7NnA4MFqR0VEWUmmJ2Xq1q2LFy9eoFevXmjTpg1Kly6d6vaIiAicPHkSq1evxsGDB7Fs2TK0bt06I1460zEp8/4uXpTkTEpP0rx5genTge7dueogxdGjQJs2kv0vV052Bkx1WHVgoFROHTki24MHy89DVt+RI/o3RZFVjwsWyOffP4cT5s0rJdbFi0uJtb29rDqLj5fPgWfPpBrkyhX5+p8KFZLfoc8/l88LU/8cVRRpxfXtt/J/WKuWDH3Mm1ftyLKO+/eBFi2Ae/ekwmjLFinvJyIiIvWtXi1toXLlkv0/Z2e1IyJ6M0WRhVGjRgG3bsl1RYsCP/8sMzyy4nFJQIBU4l+6BOTMCaxZI/N9iYjSQ5X2ZTt37sS8efNw8OBB2NrawsXFBTly5EBYWBgCAwORN29e9OrVC0OHDkW+fPky6mUzHZMyH87HBxg48NUf71q1gEWLgI8+UjcutW3bJqsyEhJkBfy2baZVBvwmycmyqubnn2W7enVgwwbA1VXduIgygqJIVcf48bKiLEXNmsCnn8pOf/HiaT9oef5cPj/375fPh/DwV7d99BHwzTdyIJ8zZ4a+DaOQmCh/N37/XbZ795a/G0zipl9wMNC2LXDqlJT6L18ug0uJiIhIPfHxMhPBzw+YOvXVLAsiY5acDKxYIS3qAwPluho1gBkzgGrV1I0tPXx8ZLHbixey4GvHDqBqVbWjIqKsSNWZMiEhIThx4gQeP36MuLg4ODs7w9vbG97e3jAzgT4rTMpkjMREKQWdMAGIjZUTQ+PHy6wRCwu1o8t8y5bJgGqdTipl1q0zzROrb7N9u1RMRUTIirA1a6RFE1FWdesWMHSoJFAA+X3u2xf4+uuMmaGUkCDtp/76Sw4aUtqgOTvLIMqBA01nZoifn7Q3PHtW2rVNny6D67PiCjxjERcH9Ojxqif4pEnADz/w/5SIiEgt06dL1YGrK3D3bvY6FqSsLzoa+PVX+TmOjZXrOnWSBKOHh7qxvYtOJzGOGydff/SRtJk2tfbxRJR5VE3KmDomZTLW06cyRG37dtmuXBlYtQr4Vwc8k6UoshPwww+y3asX8Ntv2TMx9fChlDpfuiQnBidMkP8XE8jlUjaSmCjzsqZMkZVjVlZSwTJyJODiYpjXDA+XFWpz5wKPH8t1VlZy0n306Kw9IHbXLknYhoZK5eBff0n7LfpwOp38fEyfLtt9+kj1EQdlEhGRogAvX8p+RWCgLJyKjZV9dAsL+Zvs5CSz3VxdAXNzlQPO4p4/B0qWlBPbK1YAPXuqHRHR+wkIAMaOBVaulM8RKyuZjzRmjPF1AQkJkS4De/bIds+e0m7axkbVsIgoi2NSxoCYlMl4iiIn2r75Rk4uWlsDP/0kK6FNeQdfp5OV9PPmyfb338vJ3Oy8Ujk+XmbLLF0q23XrSmudrHxSmbKPGzdkvsuVK7LdujUwa1bmrbRKTpaVXbNmSWsqQD5Du3aVz5eslOxOTpYVa1OnynalSlLVUaSIqmGZpIUL5e+vTgc0aSL/z9y9ISLKXvz9gePHZf/h0iXg6lWZbZcWVlayurxyZaB2bal2z8LdylXRrZscD1epApw+zUVplPVdvgyMGAEcOiTbuXPLIrVvvgHs7FQNDYAs/OrXT5JIOXJIMqZ3b7WjIiJTwKSMATEpYzj+/tLeZ+9e2a5bV6pm3N3VjcsQEhJk9feGDbI9e7asICGxcqVUUMXEALa2spK7f3/TOEDRaoFHj+Ti5ycrdCIigKQkeX82NtLHtmBB6StdrBhXrhs7RZGf2YEDpS2Uk5Ps2HfsqF6S9cQJSfKmfJ5qNFKJNmYMUL68OjGl1e3bclB0+rRsDxok7RCsrdWNy5Tt3CktJmJjgY8/lgNVzvYiIjJdiiKLSLZtk8ulS6/fR6MBChSQfVJHR9knB2SfNTwcCAoCnjyR7X+rUkX2gzp3BgoVMuQ7yfqOHZPjXo0GOHdOFqIQmQJFkSqUkSOBmzflurx5pWX9V1+pU5ESGChtAv/8U7ZLlpRzMuXKZX4sRGSamJQxICZlDEtRZJDzsGFyQj5XLjm5+fnnplNBEhkJtG8PHD4sJ9v/+EMOWCi1hw/lxOzRo7LdsKH8bGS1lfIvXsjKw5TVhzduyIn7tLKykpWHderIYPhq1UwjOWUqEhIkGbNsmWw3aSK/04ZqVZZeFy5Icmbr1lfXtWolbQWMbXhlcrIMBR0/Xv5f7e2laq5TJ7Ujyx4uXpSfjcBAOYG2axcPUImITM3Dh1KFvnq1JFRSaDSAt7dUulSuLAn6kiX/e0GEVivP4+srs98OHUqd4DEzA1q2lJl6TZuazvFcRklOBipWlMqkfv2AJUvUjogo42m1wNq10p78/n25zsVFPhcGDMicyrq4OKkOnzABiIqSz6Lhw4GJE9mujIgyFpMyBsSkTOa4f1/6e545I9sdO0qv+zx51I3rQ714IfMQfH2lbHfLFqBRI7WjMl46HTB/vsw9iIuT0uIRI2R1jTGUPb9JUpKseNu+Hdi3D7hz5/X75MghLdkKF5adUAcHSb7odNJL+uVLqaK5c0eSk/+UP7+0OPjySzlYJvW8eAF8+ilw8qScdJg0SX5WjTFpdv26zLlZv15+zgD57Bk7VhJ+ap8kuX5dkrDnz8t2s2YyX8vNTd24spsnT+Rv1M2bsiJ69WqgXTu1oyIiog8RHy/HHL//LovCUuTMKYtJ2raVpHzevBnzeoGBwObNchL2xIlX11esKK1JW7dWf7/DWMybJ62b8+SR/X5nZ7UjIjKc5GRZvDZx4quksJWVLMAdMsQwi4FiYmRO09Sp0qoMkMTzvHnGt0CNiEyDKkkZnU4HM2M8E5XBmJTJPMnJ8sdzwgRZXVGokLQIyqpJjKtXgTZtZAckb14p5a1YUe2osoZ792T12JEjsl2ggJxg7t7dOE6AR0TI93P7dmD3btlOodFIn+06dYBateR7XrRo2uYlKYokKE+cAA4elBZD/+zv3bQp8MMPsqqRMteDB3Ii4+FDSaqtXy/fD2N39y7w889Ssp+cLNfVqiU/R2qsYA0OBv73P2DxYvmcd3CQdo49evCEjVrCw6XVXUoP8EmT5OeD3w/1BAVJW7+7d+Wk3b17kryPiHh10elkpaeNjSTUHBzkb02JEkDx4vJvuXJsA0iUnYSGyqK2efNkIQkgn+VNmgB9+kgiJmdOw8Zw+7ZUfyxd+mqhUfnywI8/SueA7Py3JShIFlhFRMj3acAAtSMiyhxJScDff8s+/7lzr66vUEEWH7Zv/2HdMRRFZtr8+adUBqYcm7u5yXFHz57GcQ6BiEyTKkkZc3NzPH/+HPn+v/Zw5MiR+P7775Enq5c2/AuTMpnv/Hn543z3rmwPHSrJmhw5VA0rXbZulfcQEyMnR3bvlhMklHaKIj2vR4yQE+KAHNT98APwySeZv2P19OmrPtxHjrw6wQ1I0q11aznYrVs34yq8EhNlRsjSpfIzlFLxUL++zNyoUCFjXofe7fJlqeR48UJOeu7eLfN/spLHj4FffpG2a4mJcl2FCtLfuXNnw1eihYUBs2YBc+a8SjS2by+VcQULGva16b8lJQHffisn8gBpIbd8Ods7ZAZFAW7dkmR8yuXRo4x5bmtraYFZp478bapZM2vtSxFR2jx6JH9jly2TWWGALG7r2xfo1UudeZ3BwdKidP58qQoH5LNo/nygbNnMj8cY9O4tK/grVJAT02lZsEVkas6ckeTMpk2pj6fLlJH25bVqSWtFD4+3/44oinSZ8PUFfHzkePnevVe3Fysmrcr69OHiFCIyPFWSMmZmZggMDNQnZXLlyoXLly+jaNGiGfUSRoFJGXXExMiAuEWLZLtMGeCvv4y/372iSEXH2LGy3bChDJIzsVxlpkpIAObOldXbUVFynaennEzu0UMGkRrCfw1ELVVK2j+0aSOl0IY+sHr4EJg+XU6UppxU79lTrmPrA8M5dkwSbpGR8vmzd6+0lMuqAgLkJMnixa9O3NjZAV26SIu8SpUydhXrnTtyAmblylcnZcqXB2bOlOQiGZelS6Xfd3KynDTatCnrzfXKCuLj5STC9u3Ajh2Av3/q2zUa+X8vWVL+3pUsKRWjDg6vLubm8jscGyv7TCEhsoDh3j2puLx5U4l5FG4AAQAASURBVKpr/sneXv5udeokK+etrDLtLRORATx6JHPkVq16dXKzXDlZ0NSpk8yyVFtIiCSMZs6U1sTm5sA338jqdQcHtaPLPIcOver+cOoUUL26uvEQqS04WM6TrF8vraG12tS3W1sDrq7S+tvWVvaN4uNl3+bZs1fHFSly5JB5Vr17y2I6VsYQUWYxiqSMvb09rly5wqQMZajdu+UP64sXcmDx00+ymtcYVxZFREjLrQ0bZHvQIDkAMYYDIlMQHCzJmXnzpN0O8Grnq2NHOcH0oQmax4+Bo0flcuiQrMBJodEANWrICa22bdWb7/LkiVQL/fWXbDs5ycFut27ZuyWEIWzfLic14uNldee2bYZLAma2ly8lUbJ0aeqVZUWLSiVas2by857eNicpLfh275be8mfPvrqtbFlg/HipkOGBkvE6dkxmJwUHA7lzy5yZFi3UjirrS0yUuWOrVwO7dqWeH5Yzp1S01Koll2rVgA/d5VQUqTg+elS+pz4+r3qrA/JZ1qGD7Kt8/PGHvRYRZa43JWMaNZIZjA0bGuf+oJ+frFzftEm2XVxkn75DB3XjygwxMbIP9OiRLHxYsEDtiIiMS2gocOCAVAufOiULS+Lj3/0YS0tZJFm7tiz0atpUFp8QEWU2JmUMiEkZ9b18KSu4t22T7erVpVexMZW+nz4NdO0qJ/UtLGRleP/+akdlmqKi5KTWokXAtWuvrjczkyF+VatKyXPJkrLS2Nk59WrgpCRZtefnJy1jbt2S/teXLqVOwgCS9PnnQNT//7gzCmfOSBIw5f+gc2epfshOqw4NaedOSR4kJ0s11Lp1hu/DrgZFkRO2S5fKiZJ/HgBZW0u1RIUKQOnS0v7ExUUOeCwspIotIkJWqz14IG3ezp59NcgTkN/LFi1kqG2jRsZ5oohe5+cnJ8pS+n6PHSurmo1xQYQxUxT5P/zjD1kJGhLy6raCBeWzpU0bOZlg6LZiOp383Vi/Hti4EXj+/NVtdevK72ibNvK7TUTG6eVLqRxftOhVMqZJE1nwUKOGurGl1f79UimT0qa6c2dJUphyV4Fhw6Rdk5sbcOMGTxwT/RetVo4nAgLkcy+lut/KSo7tCxSQFmVc/EpExkC1pEy/fv1g8/8NxxcsWIBu3brB4V9nBGfOnJlRL5nK5MmTsWvXLly+fBlWVlYIT1k6/wYhISEoV64c/P39ERYWBsd0LHVmUsY4KIq0bRo6VEpVLSxktdW4cVLOqpbkZGlXNnGi7DwUKSIVDFnlwCgrSxnot369zPC5c+ft97W2lpOJWq2cSH4bCwtp31S3rlzq1FH35+u/JCXJnJDx4+W9eXhI8qBKFbUjy9oOH5ZEQkKCtPX644/scaIyJkbas23bBhw8mPqkbXpYWsrsik8+kRP7WbndW3aWkCB/ZxculO1GjWSAKr+f/y0uTj6L58+Xfucp8ueXBRxdugAVK6qXpNRqJRm7eLEkY1Nahri7A2PGSGtMtjYjMh4xMVIV/csvr1r5Nm4syfKseMyRkCCVPlOmyOdPgQLA77+bZlXm0aOSeFcUYM8eqUQmIiIi06FKUqZevXrQ/MfRpEajweHDhzPqJVMZP348HB0d8ezZMyxbtuydSZl27dohMTERe/bsYVImi3v2DBgyBNi8Wbbd3WVwdJs2mX9y4/ZtGaB58qRsf/65rPRipYI6nj6VAx9fX0nWPHwoPy//7k8LyM9K/vxS8ly6tFy8vCSZYeiB54Zw5oyc5Eup1Jo8WfqJs0VU+p0+LSc6YmKkQmrjxuy5CktRpK3ZxYvyO3X/vqxYCw6WE0LJybKy385O+j0XLix97L295QSRMSczKX3++kuq8mJjgbx5ZZB069ZqR2Wc/PxkBfvSpa+qYqytgc8+A774QtoKGVuC99kziXnJklcxu7sDP/4IdO+ePT//iIxFcrIMhh8//tVCiQoVJDnTsKG6sWWE8+flc+b2bdnu10+ST/+/5jPLi4iQ9pB+fjJw/Pff1Y6IiIiIMpoqSRljsXLlSgwdOvStSZlFixZh/fr1GDduHBo2bMikjInYsUP6oKe0m6peXVZb1atn+NeOiQGmTpUDoqQkKUFfuFBmepBx0WrlBHJkpHxtbi4nix0dTa8NT3i4tMxLmWnUoYPMDDGVA9vMcPmyfIZEREhiZscOOaFKlN3duCEVHlevynb//sCMGUy+AZLA9PGRqpht26RNGCCJyq+/lhNxzs7qxpgWcXGSTJo6FQgMlOuKFpUkf6dObD1IlJkURebajR79KmHh4fHq99GUFt3ExcmsxNmz5X2XKSP7sl5eakf24b74QlouFysm+5hZceEXERERvVta8wYmtPuWNjdv3sTEiRPxxx9/wCyNe68JCQmIjIxMdSHj07q1nCQaPVrmPJw+LaXhjRunHiydkRITZTVpsWJyUJSUJEPmr15lQsZYmZtLAqZwYTmYLVwYcHIyvYQMIO9z3TpZ7WxpKRUedeumHuxMb3f7tvRlj4iQQdtbtjAhQ5SiTBmZjfLtt7K9ZIm03zpzRt241BQdLe2/ypaVFetbtkhCpkEDqeZ98ECGbmeFhAwg+1KDB0uV6cyZMkPt4UOpwqxV69V8ISIyrNOnpX1uu3ayb+LkJAmLW7fk99GUEjKAfPbMnClDvvPnl+O7SpWkbXVWXk66cqUkZMzN5V8mZIiIiLK3DKuUGT58eJrva6iZMineVimTkJCAKlWqYOTIkejWrRuOHDmC+vXr/2elzP/+9z9MmDDhtetZKWO8nj+XJMlvv0miBJD2OQMHyqDuDx3O/fKltGuZO/dV64BixYDp0+WAiatHydgcPy4/+yEhQKFCstqyQgW1ozJejx4BtWsD/v5yovnQIbYhJHqbQ4eAHj3k90WjkWqQyZOzz+/MvXtSHbtihSRxAakY6t5d9jvKlFE3vowSEyMnSn/++dWA3S++kEqaQoXUjY3IFN29C3z//asWzTlzyizN777LPp+vL17I58yBA7Ldtaskv+3t1Y0rva5dA6pWlSqgSZOAsWPVjoiIiIgMJdPbl9WvXz/V9sWLF6HVauHp6QkAuHv3LszNzVGxYsV0zZR5W0Lkn86fP49KlSrpt9+WlBk+fDgCAgKwbt06AEhzUiYhIQEJ/5gEHhkZCTc3NyZlsoDHj4GJE2U1Ukpyxs5OTk63bCkrWdO6YjUgQA4INm2SoYzJyXJ9wYIyBPfLLzkEl4zbgwdSUXbrlrQwW7tWZi9Rav7+kpB59EhOph49KqtSiejtQkOlamblStkuWFAWLnzyiWkuVNDpgH37gHnzZJ8gRfHi0kq1Rw+pVjRFAQGy37NqlWzb20sS7uuvTbPqlCizvXgBTJggi8u0WqmE6dVLrsuOCVCdTlpEjx0r/x/FiwPr12edxUURETKj8u5doFkzYNcu06tuIiIioldUnSkzc+ZMHDlyBKtWrULu3LkBAGFhYejVqxdq166Nb1N6XaRBcHAwgoOD33mfIkWKIEeOHPrttyVlypcvj2vXrkHz/2cHFEWBTqeDubk5fvjhh/9M/qTgTJmsJzBQWqusWCGDqf+peHGgfHmgSBGgQAE5Wa3RyNyRoCBZAXv1qrTs+KeKFaWtR+fOTMZQ1hERAXTsCOzfLweES5cCvXurHZXxCAqSFm+3b8tnw7Fj8rlARGlz+LDMl7l/X7abNZOTaWXLqhtXRgkPl8TTggWv3iMAtGghyZimTbPPybYLF4BvvnnVsq5SJTmJ7O2tblxEWVVUlMzm+vVXqUwDgFatpDrNVCruPsTJk9Ku7elTOfb69Vf53DXmxH9ysnwP9+0DXF2BS5eyTgtLIiIiej+qJmUKFSqE/fv3o8y/9h6vX7+OJk2aIMDAAw3elpR58OAB4uLi9Nvnz59H7969cerUKRQrVgz58uVL0/MzKZN16XTSl3nzZql6uXYt7Y/VaIDKleWES5cuQOnShouTyJCSk4F+/SRJCcjB/qhRxn1QmxnCw2UO1eXLgJubtHxzd1c7KqKsJz5eKid+/lk+bzQaqRyZOFF+t7IaRZHZdL/9JquzU1p3OThIUvvrryWJmx3pdPL/Mnq0JP3NzKS90oQJnJdAlFZJSfJ7NHGiLA4BpLJi+nSZJUOvhIZK1dD27bLdrp20lM6TR9Ww3mrwYKmozJlT9isrVlQ7IiIiIjI0VZMy9vb22LZtGxo0aJDq+sOHD6Nt27aIiorK6JcEAPj5+SE0NBTbt2/H9OnTcfz4cQBA8eLFYfeGI8O0ti/7NyZlTEdwMHDlilyePZP5MAkJUhpvZwe4uMgg+HLlpJrm/wu/iLI8RZGTaL/8ItvDh8vBf3ZZ4f1v0dFA48ay4tvFRSpkSpZUOyqirO3ePWlz9fffsp0jh6xqHjo0a7TgCQuT9qe//QZcv/7q+jJl5H1068bEQ4rnz4FhwyRpBUjybcECaZlJRG+mKPL5OGbMq8q7EiWAKVOATz/lYpm3URRJdIwcCSQmyt+T1auBevXUjiy1X3+VGAFpf/3JJ+rGQ0RERJlD1aRM9+7dcfToUcyYMQPVqlUDAJw5cwYjR45EnTp1sCqlCXUG69mz5xuf28fHB/XesJfGpAwRZXczZ8ocCEAGqS5fDlhYqBtTZouPlxlThw9L4vXoUdNptURkDM6ckWq8/18rA0tLqTj99lvg44/Vje3fkpMBHx/gzz+BjRvl8wGQhFLHjjI/rmZNnix9mz17pHLo8WPZ7tBBTp66uKgaFpHROXpUPhfPnZPtfPmA8ePlM8bSUt3YsoqLF+Vvyb178pn8/ffA//5nHP9/v/0mrTwBYNo0+V4TERFR9qBqUiY2NhYjRozA8uXLkfT/09UtLCzQp08fTJ8+Hba2thn9kpmKSRkiMiV//imtILRaoG1bYN06OQGZHSQlycrFnTtlxfuhQ9IyhIgylqIAu3dLdd6xY6+ub9QI6NlTPnvUqjrR6WRWwbp1koh5+fLVbWXLSrvHzz9ntWxaxcZK+7IZM+TvSu7c8nXPnkxmEV2/LpXKu3bJtq0tMGKEJKnt7dWNLSuKjpbqy2XLZLtKFamaKVFCvZhWrpTWlooCfPedtPIkIiKi7EPVpEyKmJgYPHjwAIqioHjx4lk+GZOCSRkiMjU7dsiK5oQEoEEDYOtW0z85oNXKidb16yUJtXcvULeu2lERmb5z5+Qk/d9/S0IEAGxsJDHTtSvQsKH03zek4GAZvLx3r/z7z0SMk5O0DurdW07wMZHwfi5dAvr2BXx9ZbtRI2DJEqBoUXXjIlLD06dSCbNqlXzumZtLwnfcOCB/frWjy/o2bpT/z/Bw2aebMEFa82Z29fesWfK6gFQNzp/PvyFERETZjVEkZUwVkzJEZIqOHJH+/9HRQNWqsqrdWAenfiidTlqELF8ubS62bweaNVM7KqLs5fFjWVH811+v5ikAgJUVUK0aUL++XCpU+LAksVYL3LoFnD8vCaGzZ4HLl2UVcwoHB6B9e6BTJ0kKGUP7G1OQnCxtMsePl1ZwNjbApEnAkCFyUprI1D1/DkydKgnJxES57tNPZW4MZ9dlLD8/oE8f4OBB2a5QQSpoypc3/GsnJ0tVzMyZsv3ttzKrkQkZIiKi7IdJGQNiUoaITNX585KcCA0FPvoI2L8fKFBA7agylqJIq4u5cwEzM2DDBjlBQkTqUBT57PnrLxmG7O//+n0KFgQ8PeVSuDCQK5dcHBwAa2tpmZVyiYgAnjwBHj4EHj2S5E9c3OvPWa4c0Ly5fObVqMFEjCHdvy+r2H18ZLtyZeD3341vphBRRgkOlnaN8+e/+vypV08SNP8/cpUMQFGkGmnYMKmaMTeXypWxY+VvhiG8fAl07iyzCQFg8mSZb8OEDBERUfbEpIwBMSlDRKbsxg2gcWNZ3Vm0qKw49PBQO6qMoShyYD5limyvWgV0765uTET0iqLICXwfH7kcPSqfRR/K1haoVEnakVWpIkmYggU//Hkp7RRFVq2PGCGJMwsLWVk+dmz2mWNGpi88XKolZs2SymNAkjCTJ0t7WMocgYHAN99Im0wAyJtXKvb69pVEfkbZuBEYOFASM7a2sl/JhT5ERETZG5MyBsSkDBGZuocPJTHz8KGcuDxwAPDyUjuqD6Mo0rv9p59ke8EC6fdNRMYtLAy4c+fV5cULOakfGSmXhARpi5VysbWVahoPj1eXokXZLstYPH8ODBoEbN4s256ewNKlQO3a6sZF9CGioqQC99dfJTEDAN7ess/RvDmrJtSya5e0ErtzR7YLFQJGjgR69fqwypnLlyWhvGuXbHt5SYImq+8rExER0YdjUsaAmJQhouwgIABo0kQqZ5ycZCB2pUpqR/X+/vc/GfwKyArWoUPVjIaIKHvbvFlWmAcGyvZXXwE//2y4FkNEhhAZKYs8ZswAQkLkOi8vmZ3Uvj2TMcYgKQn47TdpHZfSHtPWFujaVeaI1a0rlXv/JTlZ9oV//x3Ytk2us7CQVmU//JCxFThERESUdTEpY0BMyhBRdhESIis8z5+XQds7dsjBa1YzYYIkZQBpKzJsmKrhEBERpKJg5Eg5yQnIKvZFi4DWrVUNi+g/hYdLZczs2VLNBwDFi8v+RqdOrMwzRgkJwIoV8n27devV9blzS0vLatXke1iokCRYtFqp7Hv4EDh1Stpphoa+elznzvL9Llky898LERERGS8mZQyISRkiyk6iooC2bWW+Q44c0p6hVSu1o0obRZHWIePGyfavv0obCyIiMh4+PsCXXwIPHsh2hw5SeeDmpm5cRP8WGiqJmDlzpEoGkBZ8Y8fKSfq0VFyQuhRFEix//QVs3QoEB6f9sc7OwBdfyGwatiojIiKiN2FSxoCYlCGi7CY+HujYUSplLCyAJUuA3r3VjurddDoZKD1rlmz/8ousyCYiIuMTFycVjTNmyAp1GxtgzBhJpOfIoXZ0lN29fCmVtvPnA9HRcl2ZMpKM6dCBlTFZVXIy4OsLnD4NXLwI+PlJi7PkZGk9ly8f4O4OlC8P1K8PVKwIWFqqHTUREREZMyZlDIhJGSLKjpKSJBGzerVsjxwp/bmN8UREYiLQsyewdq1ss2UZEVHWcPkyMHgwcPy4bBctKp/hbdpwPgdlvhcvpMp24UIgNlauK1cO+PFHmRljZvZ/7N13eFRl9sDx78yk90ZIgJAQQi/SBUVAxIa966orurafYq+7uth114Jt146iWNeuqBQR6b3X0NJ775Np9/fHe6eRHiChnM/zzJMpd+7cSTJz733Pe87p3O0TQgghhBBHl9bGDeQwUgghRKv4+sLHH7tLgb30Elx2mXvG6NGiqkqVV/viC5XV8+mnEpARQohjxbBhqrTQ55+r3g4HDsDFF8OkSbB6dSdvnDhhZGaq4GBSkgrK1NbCqFGqwfumTer4RwIyQgghhBCiveRQUgghRKsZjaqp6WefqSaoP/4I48erwYujQV4eTJ4MCxdCcDDMnQvXXtvZWyWEEKItDAa45hrYvVuVMAsIgKVLYdw4NRiemtrZWyiOVzt3wg03QO/e8Oabqnzr2LHw66+wdq1kbAkhhBBCiMNDgjJCCCHa7C9/UY2ZY2NhyxYYMQLmzevcbVq1StX6Xr9eNWJdvBjOPrtzt0kIIUT7hYTAc8/B3r3wt7+piQHffad6efz1r7BrV2dvoTherFmjypENGgSffKJ6ikyZAr//DitXwrnnSjBGCCGEEEIcPhKUEUII0S7jxqlZoyNGQEmJGrB49FHVz6UjaRq88QZMnKgyZQYNUgGa0aM7djuEEEIcGT16wAcfwNatcMEFYLfDnDnq+/7KK1UfGiHaStNgwQKVYTt2LPzwgwq8XHaZOr5ZuBDOOEOCMUIIIYQQ4vCToIwQQoh2S0yEFSvgjjvU7X//G8aMUQNnHSE/X/WPuecesFrh0ktVQCYlpWNeXwghRMcZNAh++kkNmF98sRpU//prGD5cZUb+/LMK2AjRHLsdvvlGTd44+2yVWevjAzfeqMqXOR8TQgghhBDiSJGgjBBCiEMSEAD//S98+60qG+YsZ/bQQ1BdfWRe0+GA99+HAQNUnXd/f/jPf9RASmjokXlNIYQQR4fRo+H779UEgGuuUWXNFixQ/T5SUuCll1QGpxCeLBaYNQsGDoQrroANGyAoCO69Fw4cgA8/hP79O3srhRBCCCHEicCgaZrW2RtxrKmsrCQ8PJyKigrCwsI6e3OEEOKoUVCgsma++07djouDf/4Tbr4Z/PwOz2ssWqTKpK1fr26PGAGzZ8OQIYdn/UIIIY4taWnw9tuqxFlZmbrP1xemToXrr4fzzlMTCMSJqbwc3ntPlTrNyVH3RUbCXXepS0xMp26eEEIIIYQ4jrQ2biBBmXaQoIwQQjTv11/VQMeBA+p2z54wfbpq1BwV1fb12WyqZM3rr8PSpeq+4GB45hn1Oj4+h2/bhRBCHJtqa+HLL1X25saN7vvDw1WfkIsvVj1CgoI6bRNFBzpwQB03zJoFNTXqvm7d4IEH4NZbISSkc7dPCCGEEEIcfyQocwRJUEYIIVpWX69mLT/7rOr9AqrM2Flnqd4vEyZAr15NN9CtqIDVq1Uw5rvv3Ovw9YXbb4fHHoOuXTvmvQghhDi2bN8On34Kn30G2dnu+wMCYMoUuOACFaBJTpZG7seblSth5kxV4s7hUPcNGQL336/K3fn7d+72CSGEEEKI45cEZY4gCcoIIUTr1dXBF1/Am2/C5s3ej8XEqAGxHj3UIImmQWEhZGbC/v3qtlN0tJrZescdankhhBCiJQ4H/PmnCu7//LPav3jq0QMmToRJk2DsWNWrzGTqjC0Vh8JmU0GYmTPVhA6nc85RwZgpUyT4JoQQQgghjjwJyhxBEpQRQoi20zTYsQO++QbmzVOlZazW5p+TnKwGyi6/XM1oPlx9aYQQQpx4NA22bVMZmPPmwdq1DfdDQUEwfDiMHAknnaSCNP37qx4k4uhTUKCyct97zx1w8/NTvYTuuw8GDerc7RNCCCGEECcWCcocQRKUEUKIQ2c2qyBNZqZqvGuzqftjYqB7dxg4UMqTCSGEOHJqa2HVKliyRPUr27ABqqsbXzY21h2g6dcPEhPdl+hoycLoSJqm/l5vv60yoJyBtZgYlU17xx1y/CCEEEIIITqHBGWOIAnKCCGEEEIIcXxxOGDPHli/Xl127IDdu7170jQmOBh69vQO1CQmqvt69lTN5X18OuY9HM9KSlQ51Lffhp073fePGwf/939wxRWqZ5AQQgghhBCd5YQMyjz33HP88ssvbN68GT8/P8rLyxssY2hkGtvbb7/N7bff3urXkaCMEEIIIYQQJ4aqKhWs2bVLBWn27oWMDHXJz2/5+SaTygB1BmmcF8/AjZxSNM5igV9+gTlzYO5cd1ZMUBBcd50Kxgwb1qmbKIQQQgghhEtr4wbH1Zwti8XCFVdcwbhx45g1a1aTy3300Uecc845rtvh4eEdsXlCCCGEEEKIY0xoqOoxM3Jkw8fMZsjKcgdpnJfMTPUzK0uV58zMdPc8aUx4OKSkQJ8+6uJ5/UQrj6Zpqt/PJ5/Al19Caan7seHD4cYb4a9/Vb8zIYQQQgghjkXHVVDmqaeeAmD27NnNLhcREUFcXFwHbJEQQgghhBDieBUQ4A6eNMZuV83onUEZZ8DG81JaChUVqqfNhg0N1xERodbfr5/qaTNggLr07q2a2h8P7HZYvhy+/x5++EH9npzi41VWzPXXw5AhnbaJQgghhBBCHDbHVVCmtaZPn87NN99Mr169+Nvf/satt96K0Whscvn6+nrq6+tdtysrKztiM4UQQgghhBDHMJNJ9ZTp1g3Gjm18mepqSE+HfftUaTTPS04OlJfDunXq4snHRwVmBgzwDtb076+ye452eXmwaBEsXAi//grFxe7HAgPh0ktVRswZZ6jfoxBCCCGEEMeLEy4o88wzz3DGGWcQGBjIokWLeOCBByguLubxxx9v8jkvvPCCKwtHCCGEEEIIIQ6XkBAYPFhdDlZb6w7WpKa6+9rs3q2COamp6nKw7t29gzTO6127dk4pNE1T72PtWlizBhYvhu3bvZeJiIALL4RLLoGzzlJ9Y4QQQgghhDgeGTRN0zp7I5rz5JNPthgQWbduHaNGjXLdnj17Nvfeey/l5eUtrv+VV17h6aefpqKiosllGsuUSUhIaLFhjxBCCCGEEEIcbpoG2dkqOLNrlztYs2uXKpfWlIgI7yBNnz7Qo4e6xMZCM8UDWsVZri01VW1Pairs3Anr10NZmfeyBgOMGAFTpsCZZ8KECeDre2ivL4QQQgghRGeqrKwkPDy8xbjBUZ8pM336dK6++upml0lKSmr3+seOHUtlZSUFBQV07dq10WX8/f3x9/dv92sIIYQQQgghxOFiMEBCgrqceab3Y2VljQdr0tJUKbTVq9XlYD4+EBcHUVHqEhmpLgEB6jFfX/XTboe6OpXFU1en+uHk56tLYaF6vDH+/ioIM2YMnHIKTJ4MMTGH/VcjhBBCCCHEUe+oD8rExMQQcwSP1jdt2kRAQAARERFH7DWEEEIIIYQQoiNERsK4ceriyWxWZdA8gzX79qm+Nfn5YLOp7Jvs7EN7faMRkpNVRk6/fuoyYgQMGQJ+foe2biGEEEIIIY4HR31Qpi0yMzMpLS0lMzMTu93O5s2bAUhJSSEkJISff/6Z/Px8xo0bR2BgIIsXL+axxx7j1ltvlUwYIYQQQgghxHErIEAFRoYMafiYzaYCM7m5KtPG82KxgNWqlrFawWRS/V4CA9UlNFRl2MTHq59duqiMGiGEEEIIIUTjjvqeMm0xbdo0Pv744wb3L168mEmTJjFv3jz+/ve/s2/fPhwOB8nJydx8883ceeed+LThzKG1teGEEEIIIYQQQgghhBBCCHH8a23c4LgKynQUCcoIIYQQQgghhBBCCCGEEMKptXEDYwdukxBCCCGEEEIIIYQQQgghxAlLgjJCCCGEEEIIIYQQQgghhBAdQFowtoOz4ltlZWUnb4kQQgghhBBCCCGEEEIIITqbM17QUscYCcq0Q1VVFQAJCQmdvCVCCCGEEEIIIYQQQgghhDhaVFVVER4e3uTjBq2lsI1owOFwkJubS2hoKAaDobM3R4h2qaysJCEhgaysrGYbTwkh2k4+X0IcOfL5EuLIkc+XEEeOfL6EOHLk8yXEkSOfr7bRNI2qqiq6deuG0dh05xjJlGkHo9FIjx49OnszhDgswsLC5EtViCNEPl9CHDny+RLiyJHPlxBHjny+hDhy5PMlxJEjn6/Way5DxqnpcI0QQgghhBBCCCGEEEIIIYQ4bCQoI4QQQgghhBBCCCGEEEII0QEkKCPECcrf358nnngCf3//zt4UIY478vkS4siRz5cQR458voQ4cuTzJcSRI58vIY4c+XwdGQZN07TO3gghhBBCCCGEEEIIIYQQQojjnWTKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AAnKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AAnKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AAnKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AAnKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AAnKCCGEEEIIIYQQQgghhBBCdAAJygghhBBCCCGEEEIIIYQQQnQACcoIIYQQQgghhBBCCCGEEEJ0AJ/O3oBjkcPhIDc3l9DQUAwGQ2dvjhBCCCGEEEIIIYQQQgghOpGmaVRVVdGtWzeMxqbzYSQo0w65ubkkJCR09mYIIYQQQgghhBBCCCGEEOIokpWVRY8ePZp8XIIy7RAaGgqoX25YWFgnb40QQgghhBBCCCGEEEIIITpTZWUlCQkJrvhBUyQo0w7OkmVhYWESlBFCCCGEEEIIIYQQQgghBECLLU+aLmwmhBBCCCGEEEIIIYQQQgghDhsJygghhBBCCCGEEOLQWGpB0zp7K4QQQgghjnoSlBFCCCGEEEIIIUT7lWfCS73h53s6e0uEEEIIIY560lNGCCGEEEIIIYQQ7Ze3Fay1kL2+s7dECCGEAMDhcGCxWDp7M8RxxtfXF5PJdMjrkaCMEEIIIYQQQggh2s9SrX7azJ27HUIIIQRgsVhIS0vD4XB09qaI41BERARxcXEYDIZ2r0OCMkIIIYQQQgghhGg/V1CmvnO342imaXAIgzdCCCFaR9M08vLyMJlMJCQkYDRK9w5xeGiaRm1tLYWFhQDEx8e3e10SlBFCCCGEEEIIIUT71UumTLPqyuD9yRDRE67/QYIzQghxBNlsNmpra+nWrRtBQUGdvTniOBMYGAhAYWEhsbGx7S5ldsyECl944QVGjx5NaGgosbGxXHzxxaSmpnoto2kaTz75JN26dSMwMJBJkyaxY8cOr2Xq6+u56667iImJITg4mAsvvJDs7OyOfCtCCCGEEEIIIcTxQzJlmrduFpQegAN/QlFqi4sLIYRoP7vdDoCfn18nb4k4XjmDfVartd3rOGaCMkuWLOHOO+9k9erVLFy4EJvNxllnnUVNTY1rmRdffJGZM2fyn//8h3Xr1hEXF8eZZ55JVVWVa5l7772X77//ni+//JLly5dTXV3N+eef7/rACiGEEEIIIYQQog0s+nm5ZMo0ZDXDmnfct/f81nnbIoQQJ5BD6fchRHMOx//WMVO+bN68eV63P/roI2JjY9mwYQMTJkxA0zRee+01HnvsMS699FIAPv74Y7p27crnn3/ObbfdRkVFBbNmzWLOnDlMmTIFgE8//ZSEhAR+//13zj777A5/X0IIIYQQQgghxLGspqqcYACHFRwOkPr9bls+h5oi9+3UeTD+vs7bHiGEEEJ0umP2SKmiogKAqKgoANLS0sjPz+ess85yLePv78/EiRNZuXIlABs2bMBqtXot061bNwYPHuxapjH19fVUVlZ6XYQQQgghhBBCCAGVFWXuG3YpYQao4FT+dljxhro9brr6mb0Wako6b7uEEEKIQzB79mwiIiI6ezNazWAw8MMPP3T2ZjRwTAZlNE3j/vvvZ/z48QwePBiA/Px8ALp27eq1bNeuXV2P5efn4+fnR2RkZJPLNOaFF14gPDzcdUlISDicb0cIIYQQ4rhQabbyzNydbMkq7+xNEUII0ZEs7rLiUsIMKN4Hrw6Cd06FsjQIiIBJf4e4IaA5YO+Czt5CIYQQR5lp06ZhMBgaXM455xzXMklJSY0u869//ctrXd9++y2TJ08mMjKSoKAg+vXrx0033cSmTZta3I7FixczdepUoqOjCQoKYuDAgTzwwAPk5OQc9vd8NFi6dCkXXHAB3bp169AAzjEZlJk+fTpbt27liy++aPDYwTXdNE1rsc5bS8v8/e9/p6KiwnXJyspq34YLcYzbW1DFG4v2cu0Hq3nkm61omtbZmySEEOIoMm97PrOWpzFz4Z7O3hQhhBAdyGCpdt+wSaYMu+dCVS74BELvyXDNl+AfAn3PVY+n/tq52yeEEOKodM4555CXl+d1OXj8++mnn26wzF133eV6/JFHHuGqq65i2LBh/PTTT+zYsYP33nuP3r17849//KPZ13/33XeZMmUKcXFxfPvtt+zcuZN33nmHiooKXnnllSPynjtbTU0NJ510Ev/5z3869HWPuaDMXXfdxU8//cTixYvp0aOH6/64uDiABhkvhYWFruyZuLg4LBYLZWVlTS7TGH9/f8LCwrwuQpxoqsxWzn9zOTMX7mHFvhK+Wp9FekltZ2+WEEKITrQho4z/+3QDWaVqf1BUpQbi0oprmnuaEEKI44zJ6hmUkUwZ8repnxMfguu/h8Rx6nY/fbbz/j/AZumcbRNCCHHU8vf3Jy4uzutycMWn0NDQBssEBwcDsHr1al588UVmzpzJzJkzOe200+jVqxcTJ07kscce49dfm54UkJ2dzd13383dd9/Nhx9+yKRJk0hKSmLChAl88MEHzJgxw2v5+fPnM2DAAEJCQlzBJKd169Zx5plnEhMTQ3h4OBMnTmTjxo1ezzcYDHzwwQdccsklBAUF0adPH3766SfX43/++ScGg4FFixYxatQogoKCOOWUU0hNTfVaz88//8zIkSMJCAggOTmZp556CpvN1urf+bnnnsuzzz7r6lHfUY6ZoIymaUyfPp3vvvuOP/74g169enk93qtXL+Li4li4cKHrPovFwpIlSzjllFMAGDlyJL6+vl7L5OXlsX37dtcyQojGpRXXUG9zEOrvw3WBq7nR9BsFlXLCJYQQJ7JPVqXz2/Z8ftqSC0BZjRpgyimvw2Z3NPqctOIa1hyQWvpCCHE8Mdk8JmtJpow7KBM31Pv++OEQGAWWaijY1vHbJYQQJyBN06i12Drl0tEVZr744gtCQkK44447Gn28uUpRX3/9NRaLhYcffrjRxz37yNTW1vLyyy8zZ84cli5dSmZmJg8++KDr8aqqKm644QaWLVvG6tWr6dOnD1OnTqWqqsprnU899RRXXnklW7duZerUqVx77bWUlpZ6LfPYY4/xyiuvsH79enx8fLjppptcj82fP5/rrruOu+++m507d/Luu+8ye/ZsnnvuuSbf59HCp7M3oLXuvPNOPv/8c3788UdCQ0NdGTHh4eEEBgZiMBi49957ef755+nTpw99+vTh+eefJygoiL/85S+uZf/2t7/xwAMPEB0dTVRUFA8++CBDhgxhypQpnfn2hDjq5ZTVATC8i8bTxf/B6OtgQeFNkBzd7PNaU0JQCCHEsamwUg28lVSrYExZrRUAu0Mjt9xMz+ggr+XNVjtXvruKoqp6fpp+KkN7RHTo9gohhDgyfO3uoIxmM3NCH/1baqFkr7oeN8T7MaMRuo+EfQshZ6O6LoQQ4oiqs9oZOGN+p7z2zqfPJsiv9cPvc+fOJSQkxOu+Rx55hH/+859etx9//PEGz5s0aRJ79uwhOTkZHx/3a86cOdMryyUnJ4fw8PAGr713717CwsKIj49vcTutVivvvPMOvXv3BlSrkaefftr1+OTJk72Wf/fdd4mMjGTJkiWcf/75rvunTZvGNddcA8Dzzz/Pm2++ydq1a7366Dz33HNMnDgRgEcffZTzzjsPs9lMQEAAzz33HI8++ig33HADAMnJyTzzzDM8/PDDPPHEEy2+j850zARl3n77bQAmTZrkdf9HH33EtGnTAHj44Yepq6vjjjvuoKysjJNPPpkFCxYQGhrqWv7VV1/Fx8eHK6+8krq6Os444wxmz56NyWTqqLcixFHFbLVTWFnfYODsYNl6UGaS706MqNnPtSU5wIgmn7Mps4zrZ62lb9cQ7juzL+NTYiRAI4QQx5HiahWUKa1RP8tq3aVYMkprGuxbvtmQ7Spx9r/1WRKUEUKI44SfR1DGUl+HfyduS6cr3AWaA4K7QEgjZdJdQZkNwC0dvnlCCCGOXqeffrprDNwpKirK6/ZDDz3kGgt36t69u+v6weNuN910ExdeeCFr1qzhuuuuazJ7py2TqoOCglwBGYD4+HgKCwtdtwsLC5kxYwZ//PEHBQUF2O12amtryczM9FrP0KHujNLg4GBCQ0O91nPwMs6AUWFhIT179mTDhg2sW7fOKzPGbrdjNpupra0lKKj5sc7OdMwEZVqT7mUwGHjyySd58sknm1wmICCAN998kzfffPMwbp0Qx67nftnFnNUZfHTjaE7vF9vkcjnlKigzyrbBdV99RUGz635xXirV9TY2ZpZz/ay13Dy+F4+fP/DwbLgQQohO5wzKlNQ4M2XcQZnMUu++Y3aHxvvLDrhu/7Q5l8fPG0iAr0yMEUKIY5rDjr/mLmtsNZ/gQZn8repn3BBobHDLmR2Tvb7jtkkIIU5ggb4mdj59dqe9dlsEBweTkpLS7DIxMTFNLtOnTx+WL1+O1WrF19cXUGXHIiIiyM7Obna9ffv2paKigry8vBazZZzrdjIYDF5j99OmTaOoqIjXXnuNxMRE/P39GTduHBaLpcX1OByOJpdxBo2cyzgcDp566qlG+8EEBAQ0+x462zHTU0YIcWT8uUdFoD9bndHscipTRiOlco3rPntlYZPLr00rZdWBEnxNBq4enQDAp2sysNga7zEghBDi2GK1O1zlykqdQZkaj6BMiXdQZt72fDJKaokI8iUuLIBKs41FuwqZszqD895Yxr5C7/rCQgghjhGWGu+b9XWdtCFHCVc/mSGNP+4MypTshbryDtkkIYQ4kRkMBoL8fDrl0tHVYq655hqqq6t566232vzcyy+/HD8/P1588cVGHy8vL2/1upYtW8bdd9/N1KlTGTRoEP7+/hQXF7d5m1oyYsQIUlNTSUlJaXAxGo/usMcxkykjhDj8KuqsZJWqk6Y/U4sorbEQFezX6LLZZbX0N2QRVF/kvrOm6S/UN/9QdZQvH5nA85cMZsHOAkprLGzLKWdkYlSTzxNCCHFsKPUIwLiCMnqQBiDDIyijaRrvLt0PwF/HJWF3OPjv4v08PXcHBXpfmt+25XPXGe6Ss0IIIY4Rlmqvm7b62iYWPEG4gjJDG388OBoik6AsHXI3Qe/TO2rLhBBCHOXq6+tdfdSdfHx8iImJcd2uqqpqsExQUBBhYWGMGzeOBx54gAceeICMjAwuvfRSEhISyMvLY9asWRgMhiaDFQkJCbz66qtMnz6dyspK/vrXv5KUlER2djaffPIJISEhvPLKK616HykpKcyZM4dRo0ZRWVnJQw89RGBgYBt/Gy2bMWMG559/PgkJCVxxxRUYjUa2bt3Ktm3bePbZZ1u1jurqavbt2+e6nZaWxubNm4mKiqJnz56HfZudju6QkRDiiNqZW+m6bnNo/LItz3U7t7yO+7/azJ+pKhsmp7yOicYtXs/3MZc0WGdFrZX3lx5g2d5iTEYDd0zqjcFgYEySCsSsPlB6JN6KEEKIDuYsXQaqfJnN7qCizh2U8SxftmhXIVuzKwjwNXLDuEQuG9EDwBWQAcitcJe+EUIIcQyp9w7KWC0ncKaMwwEFO9T1pjJlwJ0tk7MefnsEnu8OH18Ay18Dywke1BJCiBPYvHnziI+P97qMHz/ea5kZM2Y0WObhhx92Pf7yyy/z+eefs2nTJs4//3z69OnDFVdcgcPhYNWqVYSFhTX5+nfccQcLFiwgJyeHSy65hP79+3PzzTcTFhbGgw8+2Or38eGHH1JWVsbw4cO5/vrrufvuu4mNbbplQnudffbZzJ07l4ULFzJ69GjGjh3LzJkzSUxMbPU61q9fz/Dhwxk+fDgA999/P8OHD2fGjBmHfXs9SaaMECewHbkVAJiMBuwOjR835XD92ETyK8z85f3VpJfUsju/iuE9I6ky25joq4Iy1pDu+Fbn4G/xDrD8ti2Pe77a7CpRduWoHiREqaZaJydHMW9HPmvSSrnTYzKYpmk4NLUNQgghjh3F1e5MGYvNQW65d1Als7QWTdPQNHh5QSoA007pRXSIP9Eh/oxNjmL1gVL6x4WyO7+KvIoTeBBPCCGOZRbv8pM2S30TC54AytLAWgM+ARDVu+nluo+C7d/C2g+gWp/tnLZUXXwD4eTbOmZ7hRAnJrsV/ngGkk+XbL2jyOzZs5k9e3azy6Snp7dqXVdeeSVXXnllu7ZjypQpTJkypcnHp02bxrRp07zuu/jii716ygwfPpx169Z5LXP55Zd73W6sf7xnibRJkyY1WGbYsGEN7jv77LM5++ymewa11Ke+sdfpCJIpI8QJzJkpc9XoBAwGWJ9RxhuL9roCMgC78yvZV1hFIGZGm/YA4BiivtjDHRXUWeyu9X2zIRuLzUHvLsHMOH8gT1042PXYmF4qU2ZDeik2u7uvzPTPNzHmud+9ZlwfNnVlsOwVqGmY0SOEEKL1NE2jzmKnzmLH7lAHrMVV3t/b+4vUTGlnM8vqehulNRZ+3prL7vwqQv19uH1ismv5t64dyTe3j+MfUwcAKkNTCCHEscdu9s6UcZzImTK5mwBwdBnIf5ems6egiX5pzkwZZ0Dm5NthkN6kOG/rEd7Iw2jHD7D7187eCiFEWx1YAiteh9+f6OwtEeKEJUEZIU5gO/SgzOR+sZzSOxqAmQv3cKC4hu4RgUQH++HQVJ3/Ycb9+GKDsO74JY0FINpQQWGVe2b0zjy1vn9dNpSbxvfCz8f9FdM/LoywAB9qLHbX69odGgt3FVBSY2HFvsPf8IvFz8Oip2H5zMO/biGEOER5FXXc/cUmNmaWdfamNMtstXPxf1cwYMY8BsyYx/h//0F5raVBMH1foRqU6xrmT1xYAAAHimt47XfVY+zWCclEBLn7lkUF+zEqKYrukaq2cF65lC8TQohjUX1thddtu+UE/T7fMx9+eQCA9ID+vDQ/lWfm7mx82fihYNQLl3QfBWc9CwMvVLeLdnXAxh4GlXnwzY3w1bVQltHZWyOEaIvydPWzVsrLC9FZJCgjxAnG7tAwW+2YrXb26bOaB3UP46Gz+zOhbxcuPKkbd09O4Zv/G+fKbvllWx4jDGpQjYQxGEK6ABBlqHL1AyitsZCn9wPoH9ewUbPJaHCtb02aylzJLa9zlTrbnFV+eN+opqkTI3A32xRCiKPIS/NS+WlLLrOWpXX2pjTrjUV72ZLtHnDLqzCzPr2syaBMRJAfPaNV6coX5+0mrbiG6GA/bhzfq9H1dwtXQZmqehuVZmujywghhDh6mWsqvW47rCdgpsy2b+DzK8FcDt1GsCTuBgC2Zlc0XhLFNxCGXAHhCXDpe2DyhS791WNFqepc5miXswE0h7psmN3ZWyOEaIuKHPXTXNn8ckKII0aCMkKcQCpqrUx9fRmnvbiY+TvysTs0ooL9iAsLYFhCBJ/cNIY3rhnO/Wf1Iz48kOE9IwA1ADfC6AzKnAzBKigTQyWFleqka5eeJZMYHURogG+jr39yL5WNs+aAmo1xoLjG9ZgzKJNdVsurC/dQU287tDdbegDK9RlbRamHti4hhDjMCqvM/Lw1F4CiqqO39v72nAreXXoAgP/8ZTjnDIoDIK24xqunDLjLl0UF+5Go9xNbl66ygO49sy8h/o23Mgz0MxEZpPYbki0jhBDHHkvtwUGZE/C7fO376udJf4Gb5pFRryapVdRZyWmiPGfRlNfZc81KiNZ7z0T1VtkzlmqoyO6IrT40uRvd1zd+Araj93hGCHGQSj0oU18JDkfzywohjggJyghxgnA4NO79ahOpBVUUVdXz8DeqVvGgbmEYDIZGnzO8Z6R+TXMHZXqMgaAYAPwNVkrL1ICbsz/NwPiwJrfh5GSVKbMuvRSHQ+NAkbv+9I7cSiw2BzN+3MHri/Yye2V6e9+qsu939/XqfNVfRgghjhKfrs7Eatd7s9QcnYMYZqudB7/egt2hcd7QeM4f2o0+XUMAOFBc7cqU8TGqfYgz+zIiyJeeelAGICU2hGtGJzT7WvF6toz0lRFCiGOP9aCgjHZwUGb1OzD7fPj+dlj9NjjsHFfMFZCtNzOe9Cj4+FPkkU26PUf9fgorzZTXqgkNmqZx3QdrOO/N5aQ7J6r5+EF0irpetLvDNr/dcjyCMrXFsPOnztsWIUTbODNl0MDSRO8rIcQRJUEZIU4Qry3ay+LUIvx9jIQG+FCvlw0b2K3pIMrgbuH4GA0kG/KINFRjN/lD3BDwC8JiVANoNWV5gLufTHNBmQHxYfj7GKk020gvqeFAkTtTxmJzsDatlGV7iwDYlFl+SO/XKygDULQHrHXw8z2QOu/Q1i2EEIfAbLXz+Rp37fWSgzJOjjSb3UFFbfNlwhwOjfu+2szu/Coig3x56sJBACR3CQZgf5E7U8Z5X7m+ziiP8mUAj00dgI+p+UPObhFqn9LUbGIhhBBHL1ud94Ce5pkx4XDA709C+jLY8gXMexQO/Nmh23fEpS8Hza4yXSITASj2yILdmVtBUVU9Z8xcwsX/XYHV7mBHbiWpBVVY7Rpr0z16OjhLmBUe5X1lNA1yN6nr/c5TP9d94H68uhB2/XxslGET4kRU6ZGNJyXMhOgUEpQRR7W3/9zP5W+vpPpQS1mdwMxWO3//bhtvLFKZLs9dMoR/XTrU9figbuFNPjfQz8SA+DBXlkx9l6FqBhdg9lNZNJbyAsBdvqy5II+vycgg/fGt2RWk6bPCnIk6ryxMdc0c35pd3qb36cVqhrRl6npYd/WzOJWajV/DhtkUz32q/esWQohDNHdrHsXVFlfJroo6q6u/Vkd4+YfVTH/uVTZnNp1B+Pyvu/htez5+JiPvXDeSmBB/AJJjVKaMKl+mBpz6dvXuIxYZ7MfJvaIJDfDh/KHxTOrXpcVt6hYRAEBehQRlhBDiWGM3NxOUqcgEWx2Y/NTkLoCyo7uXWpvtX6x+9j7ddZdnpsyO3EoW7MynymwjvaSWRbsK+XVbnvvxHNW3rbreRoapp76CozxTpixN9c8x+cO5/1Jl17JWQ6n+t517H3x1HWz9qlM3UwjRCIcDKnPdt+slKCNEZ5CgjDiqzV6ZxvqMMjY1M3Akmma22rnqvdV8sTYTgwEePKsvl4/swXlD47lrcgojEyNbHCwb3jOCEYY9AJgSx7rutwWo/jC26iLMVrurwXNzQRmAoT0iANiSXe4qX3Zqb1UOzZ0do1FYVU9+RTvrUWeuVCd/IXEw4EJ1X1EqJdsWAmCtLmnfeoUQ4jBwZgRePzYRk176q6y2Y7Jl6ix2hm19ijm+z7FnxXeNLrMlq5wPlqtBlZeuGMrJydGux3rpWTFFVfVNB2WC/IgLD2DTP8/kjauHN1ki05MzUyZXesoIcWxZ+z58ea2aEAOQvR4+uxJK9nfudokOpVnUMX2NpgL42Dy+y4vUeQTRKZCgn0u4yuYcJw7oQZlkd1DGM1NmR24l83cUuG5/uS7TKyizXS8D/fyvu/j3BnWfo/AoD8o4S5fFDYaIntB9lLqdvhzsNnc21K6fO2XzhBDNqCkCu8e5h2TKCNEpJCgjjlpmq52CSnUwW2WWTJn2WLKniC1Z5YQF+PDxjWOYPrmP67EHzurHt/93CmEBvs2uY1hCBCOM+wDwT3IHZQhWwRxDTTH7CquxOTQig3yJCwtodn1De6jMnNUHSsnVgy6XDO/uevxy0xI2BdzOSEMqW9qbLbNngfqZMgVi3SUAogpXARCo1TTxRCGEOPKcPbhGdA/ihsBldKHcFeA40pbsKWIkqiSKPWdzo8v8sbsQgHMHx3HRsO5ej4UF+LqyZpwVSfrEhngt48wA8jEZMRpbDsgAxIerfYf0lBHiGLPkRdg9F7LXqtvrZsHe+bDslc7dLtGx6lVQpgwVpDd4ZsoUp6qfMX0hXN+nVB5HQZnyTCjZBwYT9DoNUOexlR7nr/mVZlbsK3bd/jO1iPSSWtftnbmV2OwOft9ZwB6tBwCWvJ3YbEdx7x1n6bJuI9TPpFPVz4wVkL8F9EAdB/4E29HZO0+IE5Zn6TJQfbGEEB1OgjLiqOVZV77K3Hzte9G45XvVwf/Fw7szoW/L5WMa0DQmB+6jr1HfaSeMcT1kClXrM5lLXAOMA+LDWpwR7cyUcZY7iwjy9crWuSxgI5FUcb5pdftKmNWVwaZP1fUB57vrMmesIMSiZqeHaLXY7c2XCtI0DWsLywghRFuZrXb261mCIwu/ZYb9Le7z+abD+sqs3LydLgZ14hVQmU59IwM+y/WBo4lN7DecPWRAfYfHHhSMjwz2a/N2dXdmykj5MiGOHeYKqFFBXGr1nhi1ejby7rlg69h+WaLzGPUB+BJNZcwb7B6D8EV6UKZLPwhTAYfjKlPGWbqsxygIUJPPnBMt/ExGEvUea3aHRu8uwZzcK8r11CkDYgnyM1FntTN/RwGFVfXkGrth0UwEaHV8u3h1x76XtnBmynTXgzKJelAmfYW6OFmqIXNVx26bEKJ5B38HS/ky0UazZ88mIiKiszej1QwGAz/88ENnb0YDEpQRR62sUvfsIcmUaR9niZzT+rQjIFO8F94aR8RXF2FEQ4vuAyGxrof9w7sCEGIrZ8V+NYA3MP6g0mUZK2H2+bD1f667kmOCCfX38bodHeJPQpQakEvxUyf1Q4xpbM1ux4yNNe+CpQpiB+JIOYttljh1v0cZBR+Dg/KK5kvi/XfxPvr/cx4bMkqbXe5w+XZDNvN35HfIawlxvFuxr5iPV6bjcHRwc9nC3VBV0OwiqflVODSIDvYj5MBvAHQxVFBSc+Rnkdbb7BTtXee6nUA+23O8T8IqzVY2Z5UDML5PTKPrSY5xB2ViQvyJPigIExnU9qCMs3xZfoW54/9uQoj28SxRVlfq/dNcAelLO36bRKcw2tR5W6mmMmWMnkGZYr182fGYKWOuhI0fq+uepcv0iRZdQv0Z7NG/8+xBcVwzpqfr9nlD413nT28vUZUJRvXuSmVQIgCVmduO6Oa3m8MOeVvUdWemTMLJKluoItN97uejT9pwVjE42MZPIGtd448JIY6cg7+DJVPmqDFt2jQMBkODyznnnONaJikpqdFl/vWvf3mt69tvv2Xy5MlERkYSFBREv379uOmmm9i0aVOL27F48WKmTp1KdHQ0QUFBDBw4kAceeICcnONk/32QF154gdGjRxMaGkpsbCwXX3wxqampR/x1JSgjjlpZZe7ZspUSlGmzrNJa0ktqMRkNjE2OanrB8ixY/6G7KSNAdSF8ehkU7QLfYBh2LYar5ng9zT9MBXqiDRX8uFk1iRveM1I9qGmw4nUVkElfBj9Od9WTNhoNDO7uPjlJ7qLK3tx4Si/6dw0h2qYCE4MM6ezIKkXT2jA4Z66E1W+p6xMeYubv+7jggx3U+kU3WLSirLjBfZ6+2ZCN3aHx3cbDu9PJKa/DftCAY2GVmQe+3sJdX2zq0GbfQhyPdudXcuPsdTzx0w7metRrPxKySmvdn+fKPHjnVPjkwmafs1PPEhzTVcOgl/sJxNwhmTLL9xaTbDvgup1kyGd9unfgedX+EuwOjeSYYHpEBjW6Hs9MmZgQP6JCDgrKBDdfFrMxsaH+GA1gtWsdVspNCHGIPIMyrkwZj++UnT927PaITuNjU6WBa3zUMb7B2atA0w7KlOmmrlfmumtgHqsq8+CjqZCzAfxCYMgVroeK9H4yMSF+Xv02zxoUxzmD4+geEUhMiB9nDOjqOi9yTpI4LSWG2ghVcrpr5VaP18sF61GQTWq3woLHwVqj3neMXh7bPwS6DVfXC/Rg0sm3q597GwnKZK2Fn+6Cb/925LdZCOGt4qDyZZIpc1Q555xzyMvL87p88cUXXss8/fTTDZa56667XI8/8sgjXHXVVQwbNoyffvqJHTt28N5779G7d2/+8Y9/NPv67777LlOmTCEuLo5vv/2WnTt38s4771BRUcErrxyf5WmXLFnCnXfeyerVq1m4cCE2m42zzjqLmpoj2/qgzUGZ9PR05syZwzPPPMPf//53Zs6cyeLFizGbpTGrOLyyvTJlTvDyZXlbIL9tM6Wc5WeGJ0QQ2lzfmF8fhLn3wRvD4MNz4bdHVECmPAMik+CezXDxWxA7wOtpBj1rJooqAn1NTD89halD4qB4nwrGLJwBmh2CYsBeDz9NV7OqgKEJ7qBML33G9U3jezHvtiEYrepLL9BgIaY+gwyPesstWvuemuUR04/SxHP5cIUKNKXRo8GileVNZ8AUVJpddZ5X7i9p/esfRNM0r//dz9ZkcOq//uDtP/d5Lbe/UL1ni81BZqn0uxGivcxWO/d8sdkV3PzPH3vbnnWRs1E1qm7B4tRCpr74C//6dae6o2AHOGxQtBtqmg76Oss9Tg3YBpraziBDvWtWbXsUVpqptbQ8eeHXbfkMMqa7bscYKtmRluW1jLPsZVNZMgDJMe4eMjEh/oT6++BrcpeujAhse6aMj8no6kmWI31lhOhYmta+Jr+lnpkyegZyncfx1a65quG3OO752dXxa72vmqBlcujB9ZoiMJcDBohOYWm+LxoGdW7QzL7ymPDt31TwITgWpv0CMSmuh5yTC7qE+jMsIQKAuLAAhnYPJ8DXxC93j2fBfRMJC/BlUDfvSgPj+8RQGzcagAsrPoNfH4ZPL4eZA+DrGzvmvTWlvkqd5zknwU18GIwm9+POvjIAfqFw6j1g9IGSvVB6wHtdzvJn5RlQV35EN1sIcRA9U8ai6Z9fyZQ5qvj7+xMXF+d1iYyM9FomNDS0wTLBwWpsbfXq1bz44ovMnDmTmTNnctppp9GrVy8mTpzIY489xq+//trka2dnZ3P33Xdz99138+GHHzJp0iSSkpKYMGECH3zwATNmzPBafv78+QwYMICQkBBXMMlp3bp1nHnmmcTExBAeHs7EiRPZuHGj1/MNBgMffPABl1xyCUFBQfTp04effvrJ9fiff/6JwWBg0aJFjBo1iqCgIE455ZQGWSw///wzI0eOJCAggOTkZJ566ilsttYfg86bN49p06YxaNAgTjrpJD766CMyMzPZsGFDq9fRHq0Oynz++eeMHTuW5ORkHnroIX744QeWLVvGBx98wDnnnEPXrl254447yMjIOJLbK44BS/YU8eXazENeT1aZlC8DVCmcWWepmViW1g/YO0uXNTewht0G6cvdtzNXwpp3IH8rBEbCtd96lSzzEqzWOzCsnqUPn86DZ/fDsGc+vH0KZCwH3yA4/1W4bYk6KM9aA2vfB+Akva8MQG+PGdeUe39/DDUeYEtb+sps+1r9HH8fs1ZmUGtRQaDN9aqEWaUWSJZDZfjUVDYdbFmT5h5QSCuuaXfj6ZfmpzL86YX8uDmH8loLL85TO45tOd4HPRkl7r/r/iIJygjRZsX7qCvO4J8/bCe1oEoFCgJ82FNQ3baygLZ6+PhCmH1eiycnpdsXsdn/Fvru+g8AZTl7XI9pzpIejXBmyow0u+vEB1Lf5uyQepud2SvSmPr6MsY8v4iBM+Yz8pmFXPTfFdz5+UZWH/D+jquos/Lb9jwGGdK97i/J3E1mSS0v/LaLlfuKW1X2slcX7/JlBoPBVbIs1N8HP5/2JWLH6yXM8ipkoo8QHer3J+HfSW0vI1TiMcmkthQcDvfgqk+ACtBkLG/0qeL44mtXx8q2AJWdb3LoEw2cWTKRieAbyDO/7aNI0ydnHcslzOrKVZlmUAGZbsO8HnZnyvhzSu9onrloEG9fNwKjUU1giAjyI0ov/Tmkh3uyWkyIP/3jQqkZ+lc+tOmlata+C/sWqut75qkMnc6y7gPIWg3+4XDVZyro4ilxvPt6z5MhKAp6jlO3V7/tnR3lOeGw6MiXiBFCeNB7yuzXVPaitfag8579f6hqKscTTVPjaZ1x6eDM0C+++IKQkBDuuOOORh9vrg/0119/jcVi4eGHH270cc8+MrW1tbz88svMmTOHpUuXkpmZyYMPPuh6vKqqihtuuIFly5axevVq+vTpw9SpU6mqqvJa51NPPcWVV17J1q1bmTp1Ktdeey2lpd6TqB977DFeeeUV1q9fj4+PDzfddJPrsfnz53Pddddx9913s3PnTt59911mz57Nc8891+T7bElFhfpMREU1U3XoMPBpeREYMWIERqORadOm8b///Y+ePXt6PV5fX8+qVav48ssvGTVqFG+99RZXXHFFE2sTxzOb3cGdn22kut5GSmwIo5La/w+cVeoeCD+hM2W2/U/1Q7GZoWAnJIxu8Sl2h8aKfWpArtl+MoU7VPNF/zC4fTnsX6TKmNUUwcm3ec34aiBIBWViDJUQ6q/uW/ysmvnWayJc+IbKtAE480n45QFY8zaMvZ2hPRqWLwOg3DuYN9ig+spcNKx7i+8Zc6XrgL6i+2l8/P0O10Mbrb241g+WOYaQYCgigSLqKpvuKbPmoMHMFfuKuWJUQoubUFFrpcZic/VGWLa3GJtD45Fvt3Jany5U1Kn/47Ja7//ndI9soLTiEzsok1FSQ9ewAAJ8TS0vLARATTHWt8dTYQ/iB/OrgA8vXzGUjRllvPHHPt74Yx/nDI5r9uDTpSxD9aQClaHYa0KTi4YVbcBk0Ohfq7JqqvL24py/VJW+gbCUMxo8x+HQ2J1XiR9W4orcTXCDqKekDUEZTdO498vN/LY9nx6GQmb5fsy7tvNZWzOAkhoLW7LKWbSrgIX3TSQhSpUg+3p9FiZLFYkBqim3I6YvxuI9RJqzOef1pdRa7Ly7RM1ibansZc+oIHyMBmwOjRi9dFlUsB+FVfVEtKN0mVO3iEA2ZJS1OxAuhGifit2LCdfsVKWtI7QVx5kunkGZulI9I0IfeBh0KWz5HFLnQfKkw7i14mgU4FDf21pQNFSCjzNTplgfbI/ph9lqZ39RNXm+UcQaylVQ5qBgxjEjay2gQVRv6NK3wcPOoEyXUDVx4fpxSU2uKqVLCP4+RuptDk7rE4PBYCAqNISnbX9lm7E/r8b8pPq15G9XmTm758KYW47QG2uGw+4epD37ORhwfsNlep4MBqPKBE7Us2ZG/02Vs177HgSEw+TH1f35HqXZCneq5wpxAtE0jX/+uJ2uoQHcdUafVj2nuLqeR7/dyqUjejB1SHz7X1wPiqdqCQwgC0t1Oa4jeHMFfHktWGvVd0/XQe1/naOJtRae79Y5r/2PXPALbnk53dy5cwkJCfG675FHHuGf//yn1+3HH3+8wfMmTZrEnj17SE5OxsfHPeQ/c+ZMryyXnJwcwsPDOdjevXsJCwsjPr7l/y+r1co777xD7969AZg+fTpPP/206/HJkyd7Lf/uu+8SGRnJkiVLOP989z5k2rRpXHPNNQA8//zzvPnmm6xdu9arj85zzz3HxIkTAXj00Uc577zzMJvNBAQE8Nxzz/Hoo49yww03AJCcnMwzzzzDww8/zBNPPNHi+ziYpmncf//9jB8/nsGDB7f5+W3RqqmMzzzzDOvXr2f69OkNAjKgUqsmTZrEO++8w65du0hKSjrc2ymOEfuLaqiuV1ktzj4j7ZVVVkuSIY8zjetPrEwZa50qJ7b7FxVR3/y5+7H8pmdfO23JKueRb7dSUWclNMCHk5wBkMw17jRxp8w16mePUWoG26ib4Kxn4JJ33DWBmxKsB3tqi9V25m9TF6MvXDHbHZABdWIOUJYO5gq6RwRy5sCujE2OIjnSD+qr1ePlehkdHxXUGGo8wLbsVqbS5m4CNAjvyQeb1P9h/7hQxiZH8b1jPI8Z7maG9UaqNDVAaalpJiijZ8r066qalba2hNll76zkjFeWUFajZgdm6iX4zFYHC3e6m3+X13qXKfLMlDlQpH4X/563m8kv/8n7Sw9Qp2f8HO925FYw8aU/eeB/Lf+fC+G0Z+Mf+NrriKOES8L38N+/jGBSv1huGt+LYD8Tu/Iq+WpdVssrAijz6K3VTLYLgKlGBTcSHDlYrHa0snTXYzUZjTdPzCytpcZi51Tf3XqpRhUoCjLUU1LT+vJlX63L4rft+fiaDHyQvIwzTJv4Iv4LfrnrFN65biTDe0Zgtjp4eq4qrWZ3aMxemc5Ag56NGJ6AsYcaeE0y5FNrsdO7SzB+JnVYODIxstmyl74mIz31YE9MiArKRzuDM0FtL13m1C1cypcJ0Rns5WpwJi2rld+VoI79Sg4qX+YsYeYXCj3Hqusl+xo+11xxdPTGEIeHw0EQ6u9pClHnBz6aM1NGzyLt0pc9BVU4NMjT9F6PFcdwpkymniWTOK7Rhz3Ll7XEx2R0TVib2Ff9/pxZNN9bxmD+v/Xq3Oykq9QTOqtX075FagJdQAQMvqzxZQLC1eQ8ow/0PVvdN+gSOOff6vrSl2D9R2CzqHKvToW72r1Zy/cWk9mWctdCHCUySmr5dHUmM3/f0+rz/a/XZ/P7rkLu+XITGzObHs9olt0GVSrjbo9DTTy11Za7H9/2jQpggGSxdZLTTz+dzZs3e13uvPNOr2UeeuihBsucfLI7uH3whMSbbrqJzZs38+6771JTU9Nk72ZN01o3mREICgpyBWQA4uPjKSwsdN0uLCzk9ttvp2/fvoSHhxMeHk51dTWZmd6TsYcOHeq6HhwcTGhoqNd6Dl7GGTByLrNhwwaefvppQkJCXJdbbrmFvLw8amvbvn+YPn06W7dubdDH50hoVabMeeedR1FREV26NDPjXhcTE0NMTDPlksRxbatHqalft+XxxAUD8TG1vYxJldlKea2V2X5vMcy4n7urk4Cxh207j2rbvlGzkDZ9qsp/Fe50P5a3tennAfN35HPbHHfNw/OHdlO//5oS+PgCQIM710JUL7VAll4+J6Edv1u9fBkOm5oZuVn/wup3rkpV9xQUBWHd1YyMgp0YEsfx/l9Hqce+uEal/9+x2p0pk3IG7J7LQEMGu3JLsTs0TMYWdgw56n3XdDmJd5eq2d73nNGH7bkVrD5Qymd16j2aTWrGgbWmvNHVFFfXs69QBUbumdKHOz7byIp9xS3unDyftzOvksHdwl2ZMd0jAskpr6NnVBCZpbXNZsocKKrBancwe0U6dVY7z/26iw+WH+B/t40jMbr1syuORc7fX7sPMMUJafu6pTjnqP6r716MQ+Mh9TciCndy9+QLeGHeXmb8tIOB3cIY6lE6sVGlrQ/KBNSrMl8RhhqyC3IIqHIfXPoXbW/0Oc7SZRcF7wYzkDQe0pcRSD0lzfSU2VNQxRuL9rKnoIqhPSL4Zas6kXpwSm/6r1sCgKl0H4OqVjJo8Hkkdwlm6uvLWLizgEW7CrDaNbLL6rgoMEtNYo8b6toPJBvzuWlsL/4+tT9FVfX8ui2PMwZ0bfa9A0wZ2JVPVqUzMlHlB0UFq4GniEMIysTrQZmCSilfJkSHsdsIt+slImqb7rfXQE2RV2NgrbYUg/P5gZEQoU/kOygLGnMFvD5MDdpePqvZjMT2+HJtJj9szuGta0e6BrbFEWZ1Ty7yC1PjBb7O8mXOTJku/dmdpzJR8zT9PKHyoEbTx5KMVepnz8aDMp7ly1rj+UuGsPpACReepGZxhwX4uDJSy2otdAnxZ3bxYG4GyFgB1UUQ0vLYzGG17gP1c/h14BfU9HJXfqz6BUW7B+oYe7sK2i75F6yfBT1Gg93juKeo9UEZz3OyjZllXDdrDSclRPDjnae28Ewhji7OSUiaBgeKqxnUrWHWwsHWpav9rNWuccenG/n5rvGtCv56qcoDzYFFM3FAU4PbDs+yzRs/cV8/uBfUscw3SGWsdNZrt0FwcDApKc1UrUGNvTe1TJ8+fVi+fDlWqxVfXzXRLiIigoiICLKzm9/39u3bl4qKCvLy8lrMlnGu28lgMHgFe6ZNm0ZRURGvvfYaiYmJ+Pv7M27cOCwWS4vrcTgcTS7j3Ac4l3E4HDz11FNceumlDbYxICCg2fdwsLvuuouffvqJpUuX0qNHw97Uh1urR8u7d+/O5Zdfzm+//dZkRE2I7R69MkpqLKxoZ5N0VbpMI8WgZlCFmNvQE+BYt+939dNugR/1aHigfvKS33xQ5o9dKlI8JimKz28+mecu1lPtstaosmJ2i6ob7uTMlOnZjqCMj78qewZqptvWr9T1YX9pfPmu+rYUeAxWOuzq/ZrLVek054l779PR/EIJMFjpbs10DdY3Sw/KzC3phsXmYHxKDOcMjmN4gndDNP8QddtxUL+I5XuLmb0ijT92q99hv66hTO4fi7+PkcKqevYXNb8NewrcdTEPFFWTUapOULuE+vPJ38Zw46lJvHrVMEBlyji/RzVN88qUSSuuYXdeFXVWO0F+JmJD/SmorOfP1KKWfwfHuEo9Iy6vwozZemJkB4lDszGzjNAyd+DamPorFOyA//0VFj3NLZGbmTKgKxabg//7dKMri61JbciUCbG6929lmTsIN7tn/EaYs9wZgB525qoBzEEm/btOL+kTRD3F1Wav4yub3cHi3YXcNmc9Z7+2lLlb89hTUM03G7Kps9o5pXc0t/TMV9mKTiteB0stfbO+5rFh6kTvbx+v564vVJbkudH6jKP4oarkCnBxYj0zLhiIr8lIt4hAbj4tmV4xHgHgimw1+HOQf0wdwJYnzqKPnlEYHewuY9ZeceHSU0aIDledjwl1Umswl7f+eXoGjEPP+LNVl7gzZYIOCsp4njtmrlalzmoK4ZOLYNV/D/UdeHlv2QFWHyhl7tZOGng5AWn6/s6uGQgKU1kwPugTkJyZMjH9XBMT3EGZo/BvVFeu9qUVzQxaWc2Qq1cfaCoo04ZMGYA+XUO5flySq+eMwWAgUt+fllRbWLm/hGdX1pJqSlGlwXbPbd37OVzK0mHvAnV91E3NLkpAuHdAxmnMraq0Wf429/YH6IPQrcyUWbKniN7/+JWv1qnjKOf50a7cSuwOGaM67h1n45CemeGt6SvrcGis14My0cF+5FeaefyHbS08qxF66bICLYoK1DG/wTnJIm8L5G12L+s5Ye1YZzCoEmKdcWll5snhcs0111BdXc1bb73V5udefvnl+Pn58eKLLzb6eHl5eavXtWzZMu6++26mTp3KoEGD8Pf3p7i4uOUnttGIESNITU0lJSWlwcVobF3YQ9M0pk+fznfffccff/xBr169Dvt2NqbVQZmPP/6YyspKLrjgAhISEvjnP//J/v37W36iOKFs1YMyXcPUAeiPm9uXlp5VVksYtYQY1MCMyVLVwjNab1deJfd/tZnCo3Emrt0GBxar657R9NP/oX4W7AR70/11NugZBrdOSOaUlBjXgT3Za90L7fxBnRCXZ6kZagaTKl/WHhGJ6ufs89TAYHAXSJnS+LJxelDGs6ljZY57llSmR6ZMZBKG+JMAGGI8wBaPDKwm6UGZb/K74msy8NRFgzAYDAzrGeG1WFiEOlk0mCu97r/3q008+fNOHv5GBb5OTo4iwNfEaL0v0vK9ze889uS7/0f3F9W4Spf1jAqid5cQnrhgEAPi1eCl1a5Ro6coF1XVU2ux85DPV9xs+oWSGguLU9XA6eikKC4ZrvrpnAi9Zjx7R2WVShkC0bI3F+1lkFE/WTD6qH4wcy51fa8YV77BzCuH0ismmJzyOr5a33xpHs1jNphWvBfqG9/32B0akQ6PGeWZqwjQ1IlVsRaGEQ0tv+FJ0vZctY/sYdW3WS8hZjRoGGxm1/eCze7ggv+s4MbZ65i/owBNg3MHx/Hfv4zgtgnJXDK8O69dNQzj7p/VevqcBSY/FYB/cwTMvY9paQ8xtqeeGWjXiPerY0CdPogUNxSiktVrNzcDrqYY3hoH75+uBqEO4u9jUifI5Zmu77e+epCmPeL0TJl8CcoI0WFs5e7BZ5/68kaX2ZFbwan/+oMHv/YIVuuly/Y4erifW6sHqwOjIDwBMICtTmXVOGWudi+jOWDB440Gftv1XuwOVxmjjRmSddtRLLXqmLqGQCLC1D7AV7OqEnVVeuAlJoVdrqCMOhZ3lB+FmTIbP4GFM+DPF5peJmeDOs4I6eralx6s2NlTppWZMo1xTnYorbG4zit+rNd7PnV0CbO17wMaJJ/eeMClNYKjoecp6vpqfaBwwIXqZ00R93/0e4OnWO0OCqvcxwTfbMjGocHslaoc62p9AqjF7pB+dMc7Sy3892T49ubO3pLDxvN/dn8rJqGmFlRRabYR7Gfi/RvU+M2SPUXY7I4WnnkQPeicSzRVmpoQ5eMcb3NmyfjrAdOy4ygocwypr68nPz/f63JwMKOqqqrBMpWVaj87btw4HnjgAR544AHuv/9+li9fTkZGBqtXr2bWrFkYDIYmgxUJCQm8+uqrvP766/ztb39jyZIlZGRksGLFCm677TaeeeaZVr+PlJQU5syZw65du1izZg3XXnstgYGB7f/FNGHGjBl88sknPPnkk+zYsYNdu3bx1VdfNei505w777yTTz/9lM8//5zQ0FDX77Su7sjuW1odlLnmmmtYsGABaWlp3HLLLXz22Wf07duX008/nc8++wyzWU6gT3Q2u8M1C/iBs/oBsGBHQbtmvGeV1hJvcM9C9rUdvqDMC7/t5rtNOXy6OuOwrfOwydmgyjoERMCVnwAGFfgYOU3V57bXQ/GeRp9aUWt1ZZQMPygQoZpRAqF6+uFvj7hnO8UNaVPTMS/nz1Qn3c6ZlUOvAlMTfQhcmTI73Pd5DgZ6BmXCe7oaf44w7PUqi9eoylyoysOOke1aEjeflkzvLmowMibE39X7wM/HSESUKrtmtLiDMhW1VooPKh00LlmdMI7vo5Zf3EKmyh6PA6n9RdVk6IMCiVHu4Fqgrwk/H/W165yxn15SSzwl3OnzI3/3/QI/rHyzQR0ojUyMdM1YTy85EYIy7t5RGVIbWrRgX2E1W1P30c1QioZBldMAqM5XAQrfYCjYRljOUq4areolN+hRVZYB750Oy14BwFbknmxiQFNNdRtRUm0mlnLX7cjcpYCa/bvFoQYrKtI2QPE+1wCkpmlszionmgoCLaWAAbqPcK0jiHpK9Jm1O3Ir2ZVXiZ+PkZtO7cX8eyfw9nUjOW9oPH+fOoBXrxpGbIgf7PpJPXnMrXCSao7orBFtqCvhi0kVbJ5xJj/feQqLkz/HVJOvZq8nT3QPJNUWq/1Oo7/k31V5ooqsxgeAHA745iZ4bQhX+q5g4X0TuHVC4wNUreEsX1ZYVd/2E0whRLvUFHmUXrQ2/C7YlVfJdR+sIae8jm82ZLMnp1hNItIzZTY6VOkMAw41mx5U2VofPwjTG+p6ljDL0rO0z3xKfR9pjsb7zrRDVlkdNn22/AYphdphaqvV/00NAYSFquNvPyzuzCmDCc0/nN36BKZcPShjPxqDMs7/4Sb2/4C7n0zPcY3Ofq612FyTLGLaWlbIQ5RHUCavQg0K/WbXJ9KlLwdbfbvX3SZ1ZbBhtro+bvqhrWuA3tjZedzRcyyVgSqwm7t3k+s4yOkf321j7POLWJdeiqZprDmgxgd25VWyv6iaTVll+GADtNafO9htkDqv0ckmh6reZufKd1bx1M87Wl5YtE3+NlUOcft3zU5SPZZ4BWVaqMoB7tJlIxIjGdYjglB/H8xWB3sKWn6u15icngmz3xFPFWqswtdWpT4bW79Wy4y/R/08nsqXHUPmzZtHfHy812X8+PFey8yYMaPBMg8//LDr8ZdffpnPP/+cTZs2cf7559OnTx+uuOIKHA4Hq1atIiwsrMnXv+OOO1iwYAE5OTlccskl9O/fn5tvvpmwsDAefPDBVr+PDz/8kLKyMoYPH87111/P3XffTWxsbNt/IS04++yzmTt3LgsXLmT06NGMHTuWmTNnkpiY2Op1vP3221RUVDBp0iSv3+lXX3112LfXU5ubfSQkJPDEE09w4MABFixYQPfu3bn11luJj4/njjvuOBLbKI4Rewurqbc5CPX34bIRPegWHkB1vY3Fu70bNO0vqubKd1exZE/DQe7vN2Xz85ZcssvqvIIygY7aw1LOqNZiY7V+MNeaFNEO5yxd1vt06HMm3L4MbvxNBTrihqjHmugrszFLnfgkRQcR7Tkry26FHH129KXvqeBO3mb45X51X3tKlzkljFG9YE65C5JOg7HNfAc4gzKFO1XZMvBuEFuyV81yB4hIcJX1mWjawtas8ua3I3s9AKmOBOoIYNopSV4PD0uIANTvJkAvX+ZrdQf6nLPPYkL8ef3qYfxjan/OHhQHwJQBaqexan8JNfUqaLArr7LBSYNnpsyBohrXTM2e0e6gjMFgIDJIBa3K9b4y6SU1dDOoWQ8mHHSh3LU9I3pGkqQHZU6ETJnKOvcBdoZkyogWbM0uZ7AxHQBDdAqM+Kv7wVPvUcFsgBWvM6ibOujckesx4Gi3qdl2uRthxRtgt2GsVAOHuxx62R2PEma/7yzgqndXkVVaS3FxIf4G9/9rfKVaLlOLJTegj7pzy5fY3x6P48NzofQA6SW1lNdaGeSrZ5BGJoF/KPioQESQod4VHHaedI1PiWHGBQPpF9dI9knWGqguUDPZek2EiY/o38N3wmg1i9Cw5QsigvwYsu8dAtIXqde66lMViA8IU9mN0PQJ1z6PWavOWvKeFv4TdnynXmv5q/SJDWm5/1dTHA5iQvwxGQ3YHVqDQLkQ4sioK3YHTAJs3lnE+4uqufaDNZTVWjEawB8LXWafAq+fRP1uNbknVetJjaYfdzqDK86yu86MaudAt83iymwmYSxE9vJ+/BAd8BjUyiqtc/X1EIdBM2WD6vSgTB2BBASq41YfHCrbEiAwgrzKeirqrPgYDfhFqUF4U02+Cu4fTZwl1Yr3eG9bfTV8dT18fKG7j2biKY2uorhK7b8CfU0E+5navSmRnkGZchVASNPisPhFgMPqXRL6SFo3CyzVEDtI9f08yE9bcvlibWbrztX7TfW6WR8ziE1mNWmwryGLvR6T3PIrzHy3KQeHBt+szya9pJZCj8/0S/NS6eooYJ3/Hcz0fZu01k5gW/oSfHEV/NH62d6ttSO3krXppXy6OkMmlxxuzuC+Zm/Yq+wYlVvuDgy2ZmxqbZo6PxiVGIXRaGBogspm2dzCWMm7S/Yz6In5/LpNTdwifYVan2MARr2EoL+jDsozoL5CTW4bMU0tW5UHlg4eh9A0+OFO+O3Rjn3do8Ts2bPRNK3BZffu3a5l0tPTG13mnXfe8VrXlVdeyeLFiykvL8disZCVlcVnn33GySef3OJ2TJkyhXnz5lFaWkpdXR27du3ipZdecvWZmTZtWoNSZhdffLFXOe7hw4ezbt06zGYze/bs4fLLLyc9PZ17773XtYymaVx88cVe6ykvL2fatGkATJo0CU3TiIiIcD0+bNgwNE0jKSnJdd/ZZ5/NihUrqK2tpaKigjVr1nDLLbc0+zqeGvt9aprm2o4jpe0d2D2cccYZfPrpp3zyyScYjUbefffdw7Vd4hi0TS9dNqh7GCajgQuGqdlxP272rhc8d0sea9NKmbPKO1Mlp7yO+77awl1fbOL7TTl0M7hLw4Qaar1m0bfXyn0lWGzqAKk1sxE6nHMAzFkCLG4IhKvyVcQPVT/zt8LGOWow0aNnwSa9TMOIRO8eKuRvU6UjAsIhcTxc962rlwAACS1/ITfLPwTOehamzXVva2Oie4NPIFhr3bVJGxsIDI4F30BIGo/DJ4BuhlIc+dsxW+38uDmHfYWNZE3pJ/ibHcmkxIbQNcy7mdfJyWpwYGB8GEFh6nqAvRqrfrDsDIIkRQdx0bDu3Dqht6v0W+8uISRGB2GxO1i2t4hFuwo49/VljP/3Yl74bZerP0yqR0+ZnPI61+2eHpkyAJF6E+yyWj1TpriGeI//9a4G9Xc0GOCkhHBXpkx2WZ1re49Xnp/xzBMgM0gcmv1F1Qwy6N8l3YZBtxGqDEbSaTD+fhj7f6o8Y9pSRmbNxoSd9JJad5m8pS+5Szvqfa1MDisWzcQCx0h1vx6Uqai18tA3W1iTVsq3G7OpKvIug+bsx1BoinN9V0eUbcNkr8OIg8x1c9mkz9qeFKFPSIgdqH7qpSoDPTJlNujf5yMP/j73tEsvXdZ/qpqRHt5dfQ+f8zyM1g9A98yHTZ+qxroA578GemlIwL0vaOy72OGA/X+4b2ev9Z4UsP5DWPUf/Rfgr2Yvei7fFus+gH8nYspeS1d9VrFzVrAQ4siylbmzFYId7qBMUVU90z5aS2mNhcHdw3jv+lH0NuQSaS2Aymz8S1Q/r3QtjjL0wHGpPtkmUP/u8uwrA+o71WZWQZuYPhDlDMocnvIoB09g2SjZMofHd7fBa0PdmS8HqdfLl5mNgfh7NtSt1ifmBUS4Spf17hJCRNeeODQDRofVu7Td0cBZbs1aqwYoQU3i+OYmlZ2atsT9f95kPxk10Nol1N/VjLg9PMuX5br2iQbygweoq7mb2r1up5kLUnn+111Nn2NYzbBGH+Q79Z4GmUHbsiu4+4tN/P27bUx4cTGzlqdRXmvB4dBYub+YL9dmegcnIhNVCVUAow9fpgex3aoG+PoZstnrcT71xdpMV5+Y33cVsHK/d+meeTvyucr0J5GGas4yriejNef2Dru7PNO2rw97UNAZPLPaNbLL5DjmsKrwCMQcJyW1PDNlDhRVY3do1NTbGi2zr2maa9LW6F5qH+uceLqlhaDMtxuzsTs0Zvy4nYryUtf5zRrHAPomeozfOAO9ET1VuUHnvrytEyf2LYIDf7a8nM2izlOqCrzvL94Lmz+FNW832qNTiONJu4My6enpPPHEEyQlJXHVVVcxYsQIPvvss8O5beIY4ywLM7RHBAAXnqSCMn+kFlLp0Ssiu0wNgB9cjmltmjszpqLO6pUpE0aNV7+J9voj1Z21k1Zcc3Q1BKwpcR9c9244C8l1ALv1K/hpujqQ3P6N6+ENmWUYcXCR/0bvPgjZ69TPHmPAaISeJ8P/rYRJ/4DBl0Hfc47QGzqI0QSx+klEgd5rwTkQ6ONxAuc8gfcNxNBrIgCnsZmbP17PPV9u5pL/Lidj3S9qZ+2kB2W2aCmc2ju6wUtfPbonL10+lL9PHUBgmDq4CDPUugIjnv1fDmYwGJgyoCsAC3cW8soCVT6uzmrn3SUHuG7WGvIqzFSZbZiMBkIDfABcJdcSPTJlSF/OrOr/4xzjWtdrZ5R4l+qLNajn9esaSmiAL7Gh/gT5mbA7tOO+z4rnZzxdypeJFuwvrGGIs59M/ElqoOCqOSow4RekMu7GqOBE0NJn+S1wBnGUsCuvSn1nLNWbFwbp3xmb1TFMlhbLVodegitvM9jq+XCBmikOKiu0pkRlu5QT4rVNVYE9CO3lLklWranvturUP9mUWQ7AcH99llpXPSijl48MwkxJjQryrteDMqOaC8o4g/iNfYfH9ldBKs0OP96p7ht9Mwy7xnu5GFV2iJ0/NVxH3mbVH8IvFAZcoO5bP0v9rMiG+XqN3smPw6gb1fXVb6tmvT/d7e4b0Ro7f1Rl0nb/LH1lhOhoHs3WQ7QacDios9i5+ZP1ZJXW0TMqiNk3juGMAbGcFq0G1m24Z//3HjSSck3/LnRmQAfpmTKReqaMc3A7S/9e6DlWfWdHJqnbh6mRsHOmsXPcWPrKHCapv6oB0f2LG33YUqPOAeuNQfj5u497HXo5TQLdQZkB8aEkxIRTSIR6rPIoK2FWmee+XrRbzdj+7WHYO1+dr0z+Jwy6VFUJ0KsYaJrG7vxK5u/I55sN2a5y3jEhfoe0Kc7yZSU1FvI89ompJj0jN6eVQZmaEph7n7tygq6i1sobf+zjvaUHuPerzY1ndmz9SgXOwnrA4EsbPPzOUvWZNxkNFFbV88zcnYx5fhGn/vsP/vL+Gh79bhsfHzQRk/6qhJkjpi9vL8sm1aFKzPYxZrvKMFkLdpOx+nvXU0pqLLy/VJ03njs4Tr9X42KjmvEfYjBTUZje8u8ibYk78FZd4C6neJh4DrKfCFUOOpRndsxx0Hxe0zRyPP5f6m2qL9KNH63jtBcXk5rvPRE1u6yOgsp6fE0Ghieo84OT9HG35vrvFlaZXZ+r4moLP/38HWh2cgxdySOaoYldqNP07yrn5CvnvtlZ6rgtJcysdfDFNfD51S2XWPzzBXWe4pw85uRRqYDqgwI2Qhxn2hSUMZvNzJkzh8mTJ5OSksLs2bO54YYb2LdvHwsXLuTqq68+UtspjgFb9UyZwd1VCuTA+DBSYkOw2BzM357vWs45aySzpNYrKLI2TZ049YhUjZ+cJZ0Awgx17c6UefvP/Vz3wRryK8z86VFKzbnjO2rsXwRoqsxXWHzDx52ZMrXuAXxS5wGq6fTmzHKuMi1m4qb74Ltb3cs4DzYTxrjv8w2ASY/A5R+qwcuOEndQXxnnybtzwA/cQRnA0OdMAE43bWL5vmLOMq7jG+1BEn/5C/aPzleznTzKs2129OaUlJgGL2syGrhiVAJdwwIwBUYAEEotJdXeQZmERoIyAGfoJcx+3JzDzrxKgv1MvHHNcIL8TGzPqeSzNepko1dMMH1i1cCE81+7Z5Ter8dcCd/dRndbNheYVnqVL2ssU8aZ8WQwGEiMPjH6ynhlyhznAShx6PYXVTPYkK5ueGZ/eDrnX3DRWxAQQV8tjad8P2ZHTjksfEL1MRh8Gbn99LJnqb8BqgTZdoc+e7twF45/9eS+zeex1O8envWZRV5+HpZyNWiTE9DHFXgBsIYnkpwykM9tk/nWPp77DQ8AEFe2nk2Z6nOeZNcHJ5xBaj1TJsigMmWcJXd8TQZO0mfANVCeqTJTDCZXqccGhv3Ffb3HGDi7kabFo29W69j5A+ya6/3YvkXqZ/JEOPn/1PUtX6mSB/MfA2uNKj80/gHV0wYD7FsI75wGGz+G359sfLsaU6yXPMrfRny4OgbIk6BMA5qmsT69lOr6Q88cFseBFW/A7PPdJaLaybfGHZQx4UAzV/DNxmyysjK5MnAdP/b/nZiq3RgMBi7soY6bf7SP427LdD6Kvp+pp46mXNOPder1TBtX+bKDMmWcwVpnlvYRKl92ij5BRzJlDgOr2f13bWIA21arzgGtPsEE+Pth1VTQzlahBzgCItilDzD2jw+jZ1QQeXpfGSpyjty2t5XdiuaZuVO0W5VIXj8LMMBlH8CEB+GKj1SVAD36988ft3POa8u4bc4GHvx6C//8UZ3ndDmEfjLg2VOm3mufuNaSpK7kbmzkWY3Y/o3Kbl3yb6+7S2vdZUJ/2ZrHQ99s9So7A6jeNQAjrm/QNzSjpIbf9HJI399xCs9ePJj+caFYbA7yKsz46FUHPl2dgcNzIuSomyBlChsSbiK/0kxpkBr4HWo4QJf0n2D9RxjfPY3X7M8zJXg/F+gTPZ0Ttq49OZHE6CBGGvaQYHT/vYzFqY2///pqyFqnAmybP1f3GfRhsMb65R2CXI8s36OyKsexzCsoc+z3OSmtsVBvc2Aw4KqM8cu2PNaml1Jvc/DBMvd7dDg0vlyn3v/g7uEE6mURnZkyewqqXGXWQU1scgZ1Vu1XY0fOEurVqUsAWGlTPaBHJka6+sqQr0+cdZYede6j2/L7NleoPsi2OqgtbWa5SjS9NLK97KBydHrPGwCq8hHieNbqoMytt95KXFwct9xyC126dOGXX34hPT2dp556yquOmzgxWe0O1wyooXpQxmAwuLJlftriPuHLLlcHVBa7d1DEmY454/yBvHDpEMZGuw8+Q2lf+TJN03hr8T6W7yvm8ndWklthxt/H6MqIOKoOlnb8oH72Pbvxx7v0VyViQA2wgUoLtdaRml9FjcXORB892JH6K+RuVtez9EwZz6BMZ3H2lcnfrgIqztRjz8FDj6CM83cx0rCHR30+5z2/V+lnVDPqTDX5ahZFzkaw1lCqhbCPHoxNbpgp48Vf9ZYIM7iDMlnNZMoAjE6KIjTAx9U89vpxSVx4UjcuGKr+vz9Ypt5Hv66h9O7injkf5Gdyz5L7/UnXbMAYQyVletmzjJJa4hoJyozs6Z4hn6wfqB04GvsgHUaen/HsslqpxSyaZLM7KCspcJ+MOzMJD2YwwPBr4aZ5ODBxtmk9PTa/CunL0Ex+vG64jgfW6J97u569pnWlgEhytC6AhtGm9kU9jUVc57OIMWW/YNcHmgyhcRzQurlezhTVi37xYbwZPJ3n/e7l/ptvpE7zI0qroD5vFwYchFfrAYjYQeqnn7t8WXG1hfUZpZiw80vgEwTMOa/x0hrOgEmP0aAHmhsYfJnKAgqNhys/ViXODtZtOJx6t7r+y/3epWk8y2kmnqKCP7Y6+OQiFcQxmOC8V1QGZnRv6HeuWt6hZ7zlbGhdE936aves1fxtxIWp/VxBpZnqehu3z9nAB8sONBwoOgH9uaeIy99ZxVM/SQPhE17uZvj9CUhfBmvfO6RVBdZ5z0KtqyzGcGAxa/zv5EXtVSI3/gd+ewSA/v7qO9ce0YvLp93LtOkz6BEZRLmzfJlTUCNBGU1zD+o7+xkeofJll49UPUu2ZFe4yhaDOu6vtx16j8oTSo1Hb9AmMiCNlaqkZ4VvLAE+JupRg3/2SjWYpgVGsF2fvDcgPoyk6GDyNf04tyqv4Qo7S1U+Bjz2NYW7YY+aAMegi70nkek0TWOePvlwQHwYQ3uEux7rFRPSYPm2cAZl9hZWe/0f/16plxsq2t26Xg/ObLjCXV53l1XX8Y3fk3zv/yT+Rgffb8phR653XymKVYUA1zmchw+WpeHQYFK/LgztEcF1YxP57Z7TmHvXeGbdMIo1/ziDUH8f0oprWOFZeiykC1z3La/kqXWOOXk8NV1HE2Cwcnf5v2HuvZgc6pjs7uh1nDfEPVnRx2hgRGIEUwZ05WLTCq/tCa8+0LAKhsMOn1wIs6bAl9e6J6CcpibNsOsndayy9n3v2fnt5FWOSjJlDq/jLCjjDLT2C65jZKz6v313ibvf7o9bcimuriezpJYr313Ffxerx84ZFOdaJjYsgPjwAByaaiVgtTv47+J9THhpMVPfWMamzDJW7FOfvStGJXD+0HjGGNX3wBrHAIL9TPSPC6VKUxOitMORKeP5nWQub3q5DbMx6AH//IKDAi9emTISlBHHt1YHZVavXs1TTz1Fbm4uX331FWefffYh1UgVx5fc8jr8fYyEBvh4lWtyBmVW7i+hqKoem93hqrUK7pOn0hoL+/TGfqOTorhmTE+6e5R0Uj1l2l6+LLusjip91oAzQ+feuK38WH8zIwx7WtVQrUOYK9QMY1ADaY0x+cI5L6heATf8pNLIbXVwYAlr9NJvY3z2uZdf+hJkb1DlBgxG6D7yCL+JVnAFZbZBZY4aBDX6QtIECNIzXDyDMhE9qY/si8mgcbuPOoiuGn4byx1qPRU7f4f0pYA6sBjcPZLwQO9ZXA3ozexCqaWkRqXUusqXRTcelPE1GTm9n8qWCfQ1cfNpahDh6jEq3b5eP1Hq0zWEZI+gzLCIOgwrXlON6pxlf4AYKiivtVJcbaG63kY3j//17qZyDAYYleQOyiTFqO063jNlPMscWu2azJQXTcosrWUS6wHQIns1HZhwih1Adu8rATizWNUS/zP0Al5dV8cmRwoWzV2KpzIwAR+jkb9ZHqBk8suc73iFQeZZFA6YBsBADlCrly8jJI583x6u5wZ17Y2/j4kF903gjwcn0b9HFw4Equ+rccYdnBRSidFaoxpoRuv9XHyd5cvqKa6uZ31GGd0MxfS17YHMVe6m2J4O7j/WmKAomL4e7lwDYd2aXm7ioxDdR5UHWP6quq+uzN1vJ+UMFdy65ktVcsQZdDn5Nnf2I8DZz8OQK+GKjyGkq/p+b80s3lL3CSi1JfQOUDP78irMLNiRz7wd+Tz7yy5mfTIby57fySmtPizlTI9FzsD88b4vEC1wOOCXB1S2H8CGj1XWMKi67G0JYNptBFvVMUi9po6fqsoKiS1aja/BTp2fHlzJ2woOByY9eHLlWZOY0LcLBoOBmBC/BqUc3ZkyzvJlmVCyT5VBMvlB/DAAvtirn4rWFHmX3m2HKrPV1QR8cv+uRAb5YrE52KlPGnv9972c8coSXvh1d3OrEQerdgdltPxtjdb3t5eo/wtbeE+MRgMWPSjjnOGca/Yno6SWQF8TwxIiSIwOokxTgTxHczOpW2nx5n3MeOYJVu0+xObfBweIinbplQyAPmc1+pSMklqKqy34mYx8f8cp/DR9PIsemMjLV5zE/03s3ehzWssZlHGeL0cG+WI0QJo5FHtIvPoOaEUgwVymgjJaeSZY3Jno5tIcRhn3MNywhxt6qL+Vc5Lkl2szOe3fi3AU6UGZmL5e6yytsfC/9SoYd9sE9/s0GAwM7h7OGQO6Eh3iz2V6gHTOqgzWp5dy//82syGjjLTiGlYfKMVogMtHJ2Kc9jOv2K6gXvNBM5j4zj4egMHlfzIhOQR/H/VdMaRHOEF+PlwzMo4LfFSQV+s+CoBeWnbDKhgbPnIfR6X+os6du/SH0x4EvxB1PvrWWPj1Qfjq+rZ9fzbCs3F72tEyznA8cDig3KOf43EQlMkpryOEWr6y38djuXdhwu4qlRzsZ8Jic/Dy/FSuem8V6zPKCPIz8cQFA7n5ND1QommwZwFndlX/Zwt2FHDpWyt5aX4qFpsDu0PjjUV7WbFP7eNP6R3Ns+clc5JR/e7WOPrTMzqY8EBfqlDnIoZq/TvQWXq0HUEZzWNfrjX1/W6zwOq3XDdN9eXuxxwHfa8dhkwZmdgljpTD8b/V6qDM1q1bueeee4iKijrkFxXHn8ToYLbMOIuF9030CtYlxQQztEc4dofG4t2FFFTVu7INwD2wsF4/AOwTG0JksJ/ayXjUuA5rQ6bMnoIqMvX0Zudsn65h/gT6qkG384yriLQXc4ZpIweKqqm12Hjht128u2Q/W7PLvdOrO8ruX9UAVkw/d/Pnxoz+G5z3MvgGQj/VRyBr9be88Ntu4ikhyl6sp2MbYPdc+Fif0dV7MviHNr3ejhI/VGX7VGbD9m/VfZFJYPKB4depwcmDSvH4D/DolzD5n4Re9CKp4epAvS71D1da/SrHwEZLlzWgB2WCDfWUVtZgtTtc9VybypQBuGZMT4wGmD45hZgQNZN7WEIE/bq6f68qUybYdfs++2yVIbP5U3VH0mkAxBgqKKu1kKH//3c3umenT4y38/a1I1wlywCSnOXLit0nUkVV9Vz61gq+3dByLe7tORW8/vveppt4HiWcn3E//cQrQ/rKiCYcyC/jXh/1HWIYOa1Vz/GZ/A/XTLB6YyAP5U/B12QgKS6G7Vov13J+sb1JjA5it9aT96rHs90ST1BoBDHDVQ30QYZ0AurVbHGf8HjKg9RzazV/usSpwYfQAF9XgNjW81QAxhl3cmaMHoCN6esuA+LMlDHUsyatlD93FxKHR8bKnt+834jdCmkqGE3K5ObfdFCU6zuvSb4BMPkxdV0v4cb+P9RgT0w/rz5fXPkJTHgYBl8Ok/7uvZ6oXnDZ+2o2sXMWfMbKxl/TYVcX8O4PBqQ41IlfUXm1qw/PMMM+bk67F7/PL8P4+hDeefFhV3+6E0m5Xmqmsk7Kl53QNs2BnPWq31NQjJpFunuuymZ5pa/XJJAW1RRiwo5VM3FAU7Nv6yqKCaxTgyDpKdPAJ1CVKyxLcw/MOAdqAB+TEYtvhPd6g/SJJWHdVVad3QKr/qvu6zkWfAPYkVvB33/NpNTZj6bsoL4TbeQcuI4J8Sc80JeRehnYh7/ZwpuL9vLq72pwedFuqU/fJh5BGYNmV/97B/GtVMGQron9AbAY9MxMvRfAylz1fX/9uETCA32JDw+g0qD+7rUVh1Z+D8Cx4jWetr9GzZI3D21F+rlnsaay6rXCXe7KA70b3986e8AN7h5GgH6u2btLCJeP7EF4UAsTxVoQHazON5xjPj2jg13nKuWR+qSInJYnPxTnqb+PAQ1K3Pvc+jL3ufZUHxW4cL6f95YewFqWg9FWC0Yfd1abbu7WXOptDgbGhzE2uenxoevGqmOIhbsKuPydVXy3MYdpH67l37+p4OjEvl3oFhFIYGAgP4T9hYn1r/JC8ic8YL2dImMMRkslQemLmNC3C4CqiJC7iZRFtxBBFYR0xTBGle1OMeZ4nztUF8Gip9X1MbdCuH48M+omdezjrE7hzNQrz2h8Ikwb5FV4ZsocRRU5jnU1haokllNZuvs4si00Dda8657c1Ilyy+sYbEwnXKsk0pzFSQY1SSnU34cnLlDZ9F+uyyKvwkxKbAgL7pvAjaf2wqSXBWT7t/D5FdxV+hwAH65IY1tOBZFBvvz93P4YDbA4tYic8jp8TQbG9IoiomQzPtgpNXUhS4tlULcwDAYDZtNBEysaZMqkt/p9VVRUuK+XFTa+0PZvoSqPek314g2ye0zKKE93l8yEQwrKmEzqO9lisbSwpBDtU1ur9jm+vu3f3/u09Qk33XRTs49/+OGH7d4YcWwzGg2uBr2eTu4VxdbsCnbkVng3Pcd9AuWclTO6l35QV1PsteMNNdR6zaJvSkGlmQv/s5wQf19WPjrZVVJtQp8uXDk6gd93FdAjTe0cuhlKWF5Uw0cr0nl3iTv6f+FJ3XjjmuFteOeHwY7v1M/Bl7q7k7ak37mw7gP8DizAaruQGxIKoQhVxieqF+z4Xp1E95qgesccDfxDYcD5ake84nV1n3O2+JQn1eXg9z9ymhogHHqVq8yOb8ok2PQOUSUb0MpNGIBVjkHM6N1C6TJwlS8DqK4sI6/cjN2h4e9jpEtI07Wfx/WOZs+z5+JjcseyDQYDV49J4KmfdwLQp6t34CvBoc+mH36dmtGedBq81JtwQy1VNTWkl9Tig41ojwHYCHsJ5wz26Cm09WvO2vQpz3M1acWBrrsX7MxnY2Y5eRVmLh3RvdnMxb9/t41tORUkdwl21WU+2tgdmqtPwoD4MLZklZNRWsN4vANttRYbeRVmrzJx4sTjv3UOPQzFVPhEEz7m1pafAMR3S+Dfhmt4lA95vf4Cignnvb+MIDTAl3Uf9WOEUWUaRnTvS0pACPuLavh8rRrIOL1fF4zd1OeylyGfGtS+LiCqG3UlAVAFGVosCVHBDV6354izYc+bnGzcRbyvGrDyCr77qefEBdop0md5jzR6zCxLnQdnzHDfzl6nTlaCoiH+MO2rkk9XA6fFe9TAqN6vrEE5TaPJHcBpTs9TVJ32zFUNH7Pb4NNLoXAn3LFazZ730L1+H2MMQcwpeJ7vKi8FLuGJLkugEhyagXhDKQ85PuQvn5zJh3ec7RoEOyTrP4I981WvgB6j3PcX7FD9c069B3qffuivc4icvchaczwkjiOlByAgQgVZ68rd/ZpO/wfUlarM6Ln3ucsPLnsVRkxTE15aovfzKCCSUn0gur6yhDCLGkz3jUmCioFqoDJjpbvhbrR3BoAjMBI8J4UH6kEZkw+Ed1eZMpvmqPuGXw+oQV+ATK0rUYZqNTDqmX3XSn/sLqDO4sCml3p0lny9/8x+bMmuYE9BNa8s3ONaPqu0jsJKM7FhDc9ZTmSapvG/9VkM7h7OoG7uYL6jqsB7FmfmGq8JVAWVZmLt+WCAlH7q72fVM2VMeumzPRUm/H2M3KLP8PYxGdECo8CigoCtPqLLWKkG6A5qOB9Wkw5AZMXO1q6pUfWl2fgD6xz9mGzcjL9e1pSuQyA0juyyWvx8jMSGuv93NmSo/fWopMM/cTUy2HuQp1t4ADHBfqSX1JIZ0I9oFlKbvo6gU5pfj6nOs09OqqsPn63SPdjZv2IpcD4b0svILKnlQHEN44160CYqmTq7kY+Xq/4u3SMC+X6T+u64bGSPZs9BUmJDGZscxeoD6vcUHx5AXoWZeTvUa189xl0hoW9sKItKo5m1y4CGRma3c+mSPQe2/o8Z579Pckww07vvh/f0stcGk/oe7KoGsPsYcvi5uJrxffRzh9+fVNUo4oaovnqTH1cltBP1X9jw69Q5afdREBCmzje3f+d9HNAGZqud4mr34G9BZT3V9TZC/Ns85CYO5ixdFtZdZVbaLSrLybPCRmtkrYXfHlbZnA8faP24yxGQW15HX4M7+2eyaRMbbX05d0gcFw/vzisLUymorCc5JpjPbz7Ze59lrXMdC8RUp6pS/wQxIsrKm1cNoHtiMrvzq1yf0+EJkQT5+bgmX0UMPJ05Q09maI8ItTrfEPCMW0QclClTkQW2evBpYqxE01y/y9rqciL0uytKi1zXvWSpUphzHeO4zLSMYEeVex3OQLjTIQRlfHx8CAoKoqioCF9fX4zGNrVUF6JJmqZRW1tLYWEhERERrgBge7R5D1FW5t0w0Wq1sn37dsrLy5k8uYUZm+KENCBeneTtyq9yffE7OYMya9PV/9UY5wFtpXP2vwHQCKWuVZkyC7dlcb82h9y6aDZlDneVLBjYLYzRSVGMToyEF9ROvZuhhH1F1eRXqjTjgfFh7MyrZN6OfOptdvx9DsNAT2vUlqqDQIBBl5JWXMN1H6whKtiPK0b14JLh3QkNaBh53WQaTB8tgK6Gch4cXMetUUUqKJMwBk6+HQp2qtmIU19uvJdAZxn2F3UA7Bw8cO7smzooiu4N/+ddM3jg0DEUbowglnKwQZEWRllQL07u1YqgjMkHizEQP0cd5qpSV+myhKggjMbmD8w8AzJOlwzvzpt/7CPQ10RSdBAaqt6xzaERadUHL8bdBbH9weHAYfDBqNnQqovJKOlCLOUYPetXe5ZOSF8O399GuGbnLFMf/ldxOmarnQBfEwV6aa+8CjPbcioafLacymst7MwtowsVrs/b0cizcfXgbiook3lQpkydxc7/vfkdvqW7efSe+0iJPQqyv0THs9RwUtr7AGxMvIXT/ZrOcPNkMBjY2v0qxuwfSSER3DAukbMGxaFpGj8HnwT1v+DQDPRIHkCKqZr5Owpc+53J/WMhJJYavxiCLcUMJh2A0C49qDQP4/O0xSzSRvJ2RGCD143sMxazIYAoqonK0gclu3oEZfTyZXee2o2S8p58viaTkyLqwPnvX7hDBUoiE9VJ2IbZ6v7ek1U/l8MhMELtOzJXwd4F6gLQb2r71pc4Tv3MWqtmMho99qer/gNpqskoexe4gzLBXaCmiMiqPdzmk40Pdi6v/YYFxp4Mq/oTgNJrfiFi7s34VOdiyd/FEz/24N+XN95P6I/dBdz31RbuPL03t07o3egygJpt+etDqizbnnlqNu2UJ1Wm0FfXq/JqlpqjIihT5sqUkaDMCaM8C/47VgVkbv1TfX7qSlUW25hbVJBk2SvuYyqTnzqG3j1XZa21pFIN2ORrUdSY1D7VUl1MtL0IDBDSpSfUDFFBmV0/qecExTTIwDMGRbmDMgYj+Hs8HpGoBtQcNvW8AReQVVrL3K3qeCdTi2UY+6G05b4yRVX1XP3eKs4aFMcj5/SnymzltjkbsNo1BnVT5xvJesbywG5h/HL3eO7+YhOrD5Ry0bBupOZXsTu/ivUZZUwdEk95rQV/H5OrafKJbGNmGfO//5j/BSfx1aPXuo55LRX5BAD1mg/+BptrMM1p3e4DnG9QGQFhcSkAWA2+oIFPrQrKVBDMtScnejW+9w2JhlKwVpfQKlYzfHYlWKrUBLSYFNdDIRYVdIgxN51t9fL8VEIDfLitmZJipfnpxAO5Wgz7tW4MNOjrSzmD3PI6znp1KYG+JubdO8H1Xtbr57DOzKzDKTLI+/wtPjwQH5OBRbsL+aU4nuFA8Z5VxFhsasC1CcEWdzaSvWAXrv92j8HOgJochpoy2FqZ5JqQ0tuglz2L6cNHK9N4cV4qP27O5T9/Gc6mzHKMBrjgJI+JZE149uLBvLvkAJeM6M7A+DAufXslB4pqiAnxV8dXuj5dQ1m0u9DVFyZq3PXw9RzYu4CEi+r5+9QB8NkTauGUKXDui+o80WrGgZEIQw3F+VlAkup/5KxUcN5MFSA2hUPSqe4N6z0ZHtijjj/2zFPn4zu+h7OebdfxVb5+bhboayLIz0RJjYX04hoGd28hY/koVVJdzxXvrsLPZOSKUQlM7h9L94hAV0WDDuUMykQmqclMxXvUhIW2BmUyVIUN6kpVoKGtzz+McsvNnOoRlDnduJmXuYqLh3fHz8fIvy8byi9b83jgrH4NJxGsfkttPyoD7oLYAnJCh/Fh5a2YvjLDPVu48/QUNmzeyDDDPnr3vk5ljm34GADj0Ks4rU8X1+ocfqHuoExAhLssdHCMysq1VKnJVN0amQxWkQMfnKEmXEx+jLoad5ZLdVnjmZBaTREGYKejJ5eZwIRDlTANCHOXLgsIV0HVQ+gpYzAYiI+PJy0tjYyMQ8vGFaIxERERxMXFtbxgM9oclPn+++8b3OdwOLjjjjtITk5u5BniRNc/Tg/K5FWSpZcbSYwOIqOklvTiGmotNnbozR9dmTL6zD2iekHpAYIM9dTUtdBfQtPoueIfTPBZgF0z8OaeW9iply9zBoaoLVU7FaC7oZiiqnqKquoJ8jPxv9vHMemlxRRXW9iWXXFEZjw1YLPAn/9SJ6pdh0CXvrz25SZyyuvIKa9jW04F327I5oc7T/WahVRUVc//fbGDxx3DON+0mjv8f8WQox+s9BijDlCnrz3y298eyaerxtPO4ENU2783TuoZyQIGcx7qwGqNYyBXj0ls9UGizTcUv/o6zNVl7n4yzZQua05EkB/z752AyWhwncD2igkmt7AIf5t+UBKuN+Q0GrEFRuNXW4Cxroi04p7EGfQZ8YGRalDFXKHqPdeVwdfTQFOp2T19K9DMqpdG366hrmAiqBqyQ3tEsDmrnBB/k1ewYk1aKc+aZnGNz2JezX4P6NOu99keVrsDTaNVfxfnIGO4j5UUfUDl4L4Jz/+6i4cqnmOwbzpLd4whJfacBusRxxm71V3my2nFG4TZSsl0dKFuyF/atLohPcJZuT+Svl1D1Mk96oA9efS57Fs6m31ad8YkxFLkUZLc12TgVL00ojlmEMG5SzAa1IBBWEwCcTX+PGS7hW7hAY3/r5t8MQ27BjZ9pLJbugxQ5b+c9KBSgKOO5y8Zwq2nJRO/ehl4VojZM09l+f3+hHum+oAL2/TeW5RyhgrKLH9VNeYMjFKBmvboOlhtb30lFGx3zcqleB/8+YJ7uQNL3OXLBl4E6z4gMGcVk4xqkM5o0HjH7zVVMidxPDH9T4V1A6A6lz7GXL5Yn8W0U5Pc+3jnaouqueeLzVTV23hxXiqnpsR4zfz28ue/VUAmKAZqi2Htu6p5enSKu99N9lqozIOwZgafKnJU6ZPEFqYsH4IK/XuyxmLHZnc0OlFAHGf2zFOZ41V58PlValAE1KChyRfCe6jvgp0/wJjb1CDG0hdh9dutCso4KnIwAnlaFH4BkWCG+opCYlHHJhHxyVCnZ6/sX6x+NnLc5hcaoyYGgTqe8RzQ9Bz0Gno1+AYya/kO18BrhtZVPVbWclBm0a4C9hfV8OmqDB46q5/e2Fitx1myONmjjGxsaACf3TyW/UXV9IkNYcaPO9idX8W69FJOSojg3NeW0qtLCD/ccYrXcXZWqcoUmNi3CyeKyn2r+dDvZbbXJ/Fn6llMGaj+LtbKAgKAZY4hTDFtgqx1XsH2Pbt3AFDtG0WIv8p5sRn8QQOjXR2rVmjB3D/B+//GGBQJpWCq957wqc6NXlD7pKTx7vszlrvO4bT8bRg8gjIRNrXP6GbPRbNZMBw0Ga2g0sx/FqsJAFeP6dlk/8naYjXIWUgUe7TuDMQZlJnCrOVp1Frs1FrsPPHTdt66diTltRb26j1Rj0RQxtdkJDzQ1/Xd3y0igNAANXzzdV4XHg+AnhSwfl8aowb2USUCN85RWa7Dr4OYPmC3EuZwlxMy5+7E+QlxZjI5/SVsG1vLkvh4ZTrgDspUBvfiz1T1Ad+VV8ltc1SJr1NTYryyhpqSEhvKS1ec5Lr98Y1jeHruTi4a1g1fj/1Yn1h3zlTPqCCSBo5RmcWFO1UGy0nXuCd1nPm0R2++AKqDehBWm4m9YBfYx6m+W6B+D80dy4Tq3z8pZ6hgclWuCjy2Y1/u7GfTLSKAqGA/Smos7C+qbjIoU1Bp5oNlB7jltOSjMnNv4c4CVy+7Z+bu5Jm5OzEa4JTeMbx93YhGJ40eVvVVapzkpKvV8RWo/Yl/qDsoc1DZ8xZleGRwF+zo1KBMTnkd/YzuoMwgYwb3jA5mrD7JdFK/WCb1i234xOoilRELrmPX50dbIAGYrY+h5W0lJelUPo6eQ6/qjVSWlcOqGNVTqdsI9f/uQfMPA2e1PWc/GVCTZmNSIHcTvH8G9J8K57+mgjVOaUvVMUrqbzD5Mcw17lJk5qrGg+41pQWEoALg9Zov/garOvfwDMqkTNHLnB1aTxk/Pz/69OkjJczEYefr63tIGTJOh+Vszmg0ct999/Hqq68ejtWJ40xKbAi+JgNVZhtr09RJ3nh9gCurrI6FOwuwOTS6RwTSPSJQpS5W6JkyXQa41mOtKW/2dcy/P8+EWjW712TQ2LJ1i6tXiGvApjzdtXycoRQjqtTBuYPjCfH3YVSiCsSsTT/0ppMtKtwN705QA0AAo25kf1E1P29RB8DTT08hyM/EluwK1qS5t6ekup6bP15HfqWZH0OvQcOAYcf3amcJ7R9E6yhGkypF5nRQCYzW8DUZKeoy1nV7jWMA15zc+oMqu17CzFZb3jAos/JNddDx2yPuDKYWdAn1dzXjBDUj7O+n6IGRgAivfj5akPrf96srIaOklnhnUKZLf9eMearyYO69Kj1blxygjpSc2S75le7yfvN35LM+vZRL3lrBRf9ZQVapO8Nk1f4SRhlV2Y6w4s2tej9toWkamzLLqLN41/W1OzSmvr6Mc19f6hp4aU6V2UaSIY81PrdwVtq/Ae+eMr/vLGDe6i0MNqYDuBuPiuPX70/CCz2809hLD6Dpzej/bbuG5Li2DYLcPD6Z6aenMOuG0V5lry46uR/X+L/JrO5PExXsR0oX92d2dFKU68TTt4f3DDFTWBwjEyPxNRkY17vpnla+F70GjxeqUgk3/gIRCR4P6t89VvX/nhQTjH+dHngJUz1qWPQM/HC7CsiE94SL/gsDD3NQprd+gqbPnKfPWd4ZLm1hNLn3Rc4TYE2Dn+4CmxnC9feftgRK9MDHIFWOxlBbjMmgscORSJUWiA/6d8vY29XPLv0AmBStBvKW7vEoywLU1Nu4/dMNVNXb8DWprMWHv9nKol0F/PXDtfz1w7W89ec+vlqXyUc//IZjy5fqidf+j0/7vEaRFq4GgHb9BBjQQvWSj7vnNv1+7TbVw+2jc5vuo3MYODNlgFb32RMdyGaBFW+0KuOj1Tzr3udtViVbkk+HPme677/wTZj2C5z7b9V70OirBhVb0WvCXKIm9ORr0ZiC1UCQT+le/Ax27BgIiOyushJABS+h0eO2wHCP4EXgQZOaIjwGeEb8lZp6G1+tUwNRfbuGkKnpg05l6S1ur7PPVFW9jf1F1WzLrmiwTK8Y72JYJqOBvl1DMRgMjEpS+4wNGWV8tjqDSrONLVnlpBaoQSSr3cF/F+/jjJlLuOHDtazcd+j9To4VxoJtAAw2pvPz6u2u+x16iauVjsHUEqgCIwUqEKNpGsWZqQDYw91/Z5vROyji8A9vUOLaoJe487Uc9Dfc8R0snwnf3KTK5ei0PQtc10vS3E2gNYedaE0dS/sa7FTneZfEBJVV7rSnoKrB4y76hLG4Hr3Y61D7X80vhIqYEXyhZ48A/Lotn9+25bExU+2HesUEu/pNHm6e5xfdIgJd5XsrCGGPQ036KtyxWDXHXvYKFO2CFa/Bf0bD/sWYy/O8V1ic6rrqZ1b7z4pAtU8+HTWhr86q9rv9fNRzd9vi2ZTpDp7t0wNRFw/r3q73lBAVxPt/HcX5Q71LKvf1KAN99qCuKlA67Fp1x8ZP4MCf+jFEzwY9WK1RatKZX9leWPe+mhASEAFTnmrw+hV1Vv67eB8l1R49Snz8VYltUAGgdsjV/8+6RQSSrH8POYMajfn3vN28vyyNj1elt+v1jrRVB9SA+viUGIb3jCDA14hDg+X7inno661Hvnn6ug9UduiP012ZMr9k+rKpWj/2b0PzeUAFk7PWuG/nb2962Q6QW1ZLX4M+5qWPD9yXlNFi5Q42f6a+h+NPUuV1QWWzOidOgAps2K0kmdVEjrCdn6kxDoCJjzSoUGJ0ZsaAu5+M01nPQo/RaqLorp/dfYGd9IwdZx8YS537O9ZW0/iYWn2lCghHx3aj3BkmritT5wrOoEwfvYRylX5OVFsK+dsaXV9LjEYjAQEBcjkSF3//zt+GTrocjoAMHKagDMD+/fux2eQEUaCCA3vdJ5F+PkbXAaQzuDAyMZJAXxN2h8Zrv6tZspee1AXenQgfnu2enRqZiM2kDuLtdeVNv2bhLgJWvAhAHeqg2FSuTop7RAa6Z0R5nPD54KCr3svj8pHqwNuZqbMu7QgHZRwO+PZmdeAcFAOXzYJRN/HfxftwaDBlQCwPnt2Pi4apg9Uv9ROBzJJaLn9nFVuyK4gI8uWRaZdhGKFqc6M5IKRrp874aLVhHrPbo9oelAEIHeie4aElTVABvVYy6EEZa005maXqYDkhKkgFYRY8rpqYrnkH5lwCm79o87adnBzNdQP0L+nwBK/HDCFq8CHYVsqBomriDfoMkrDuEKqnPpaluQ+sRt8CQA8fddLqDMoUeJxg7i2sZvrnm9A0NYP6H99vcx0or95fTDeDGlTwq3E39Dxc5u/I55K3VvLsL951vPMq6thbWM3+ohrXDL/mVJmtDDWkEYCFrvlqFty+wmqq6204HBqP/7Cdk427XMs7KvOaWpU4Xuyaq06+nX0INA1+ewSDvZ5l9sH8pp1MUnTDHi7N6RLqz4Nn91Of94PuX/rQ6Xxxiwr29o51r/d0j1lqoYnuoEytIRD8Q0juEsKGf57JS02U0XJpqg6z3lMGi8eJuzOTcOQ0/bEqVRJo8uNw1wY18/Nwix+mMnmc+h1iJlpPvYSZs1TE3oWQuVIFoa77Dkz+6n0631uPURDqHqB533Yer9r0jKKIRHcptZi+AAzyVQOFyz0GTc1WO//32Ub2FFTTJdSf7+84lfBAX3bkVvK3j9ezdE8RS/cU8eK8VB75dhtdN8zEiIPMrmew3tqLx7fFMrX+eVY71ISQLwOv4l9letmyXT83/V53/eg+btn4ySH80ppXVV3LVabF9DAUtep7VXSw7d/Awn/CL/cfnvXZ6tUMVIBJ/9DvNKgBEs8BlYAwlVFgMKjjCGe/jaUvN73utGWw9n20PDXAUeHbBUOQGuiKqVHH5SWGaFXyp+tA9bpOjWTKhES6vyet/hF8tCKN5XuL1YSNWL2XVvdREDeY9JIa6qx2ooP9uGhYdzId+kz1VgSzNmW5B4Y3ZZazVQ/K3DYxmaToIPx9jJzUo+lSQc4s+B25lXy5zj1Def72AjRN46bZ63hpfioWm5q0tWh3E02Kj0O+Fe7ff9X+Va5STM4JQvlaJBs19f3rzFZIL6kltE4NKgZ3dWeuHByU8QtpWF7YGKz+Fv7WSu8HnP/z1QWqlJTO7hGUsea7jzkrSwvwM7gnBpVmNBy0K/DILt+tl7b+dkM29321mXqb+7mBZvX3HjxgAFv8huHQDJQmncen6/OotdjpHxfKnaer85ZHvt3KW4vV9/6oI5Al4+QZlIkPD2Bw93CG94zgnEFx1HdX+1nfrFWq1GltidrHdh0MaJC+jIJcdQ5p1tS5cGBVhivYFVSv/rZZSZeDwUTXuv1MM6mecjEhfgzQ97Nz9vljtWv0iAx0fb4CfI2cPfjQSrYcLCU2xPXVdtYgfd0nXa0CzXmbVdAJ1PHJQYPKfnEqSHNq3Z84ftcDMVOe8J7Rr5u17AAvzU/l2V92eT+gTw5h9y/t2n5Xpkx4IL30jL2mSkc7HBrrUrO40rSY0oPaAxwNNE1jtR6UuWNSb76/41R2PX0O/7ttHH4mI/N25PPOkjYGRdrK+V2Qt9k1UfLPwgB+ytIDvG2dAFGww7uBfEH7BvgPh3qbHd/qHEINdWhGXxh1o3pgy5cqy2vWWery+dXuoISTc5LQiL+qYAnoQRmPyaR5m6FgBwabWfVeAjVWFDe0Yb9IwCfooJKjnpLGw82/q/K+4J685eTMYqpXwRhbnft3rNU2PqYWYFH/832Se1GuqXFCR02ZmphdV6o+87311hj1ehWRr66Hd8ZD4a5G1yk6gKapoHXeVvd9n1wIX17rrnwg2qzNQZn777/f63Lfffdx9dVXc9VVV3HVVVe1vAJxfHPY4dPL4fMrvGYvDNQzVZwz5pNCbCRGq0Ex58HKdd0L1Q4ka41qugsQ3gOrr3quZm44G85FH8BeYh9KZrRKdU805Hu9NqDq8nvoZiime0QgJ+vBGGdPm/UZZa2a3d9uO79XBwL+YfB/K2HI5WSW1vHjZjVoftdkNdvnqtEqwPLr9nx251dy5burSCuuoXtEIN/cfooqU3X64+4Mi4QxndqwrtW69IMznoAJD3mnyLbBiKEn8aL1Sl63XcqZE8a3/AQPviHq5MlSU878HepAp3ewGb7/P7XAgAug33nq+orX1A6orZyzRsJ7eN3tE6YGLmKooMZid2fKhHVTZd0Adv+qZqSGdHUdkHTRA4jOzB5n+bJu+szD/EozMSF++PsYWba3mK/XZ1NaYyG/II9ggzr5CrcWYLZ6Z7QcKmfjzu053p/P7DJ3/afqVszorjLbCNdrkvvU5DEoyoHNobFyXzGbs8vJrzQzwdd9EGasLmhqVa1WVFXP/B35R/azfoLblFnG37/b2uD/o0U2i3sfsvsXFcjeMw/2LsBh9OUJ2zQSooIPT5N3XaCfyVUOKsjPh6E9wvH3MXLWoK6uZQzOMlxApY97kCkswLflmW1NOShTRq1cD6AmjVcZLGHd4a8/qu/MI9UjzGh0Z8sYfd3X2ytZD2bs/lVlOy1RGXCMugm69PXO6ozoqYJWepPvGmMIvznG8JH9bPaf+jL85X/urB09U6arRe3P16SVYrbaqbfZueOzjSzdU0Sgr4l3rhvB4O7hPHmhGqgJ8DVy64RknrhgIGcP6splyTbOMa0D4M7cc3j4G3WCkZiYzE3aDMbXv8ajZRfym101/HWkL1ez9EBlxnxyEXx6mSo5ueJ193vZ+aPrxPRwG2Veyb993+fvPp9RaZagzFHHOfEnY6XXDP92y1ylvhdCusLEh+EvX8N137g+J00af58ahEn9RQVDD7Zvkfr//fVBgnNVz77awDhVTgpVAgqg3FfPfvEP9Q7ENBKUiYx2B2V2lZt46uedXDdrDcOeXsB8x2iV3XelqmWfV+6eTd41LIAMZ6ZMRZb6bDWhymx1lYoCFaDZkl0OwMQ+Xfj1ntNY+vDpzZYB6h4RSHx4AHaHRmmNO/Nswc58Vu0vYdneYvx9jK7JWsv3dkKmTH2VKlX34Tmqj1gHCal2nyMNM+zlmw3qONanVg3cF2vhLLKpyQfW3fP47+J93PvlJnoaVCDDJ7qX6/mOg4IygeENgzLOzKxAe5XaxzulLXNfX/2WOgYv3odPuXsA1r/UnS1dXuAOrgHU5zccsCv0DMrkV6FpGs/9uovvN+W4qjjU1duIsqu/d69eKfgnjmFc/Zs8bb+JD5er175tYjJ3n9GHk3qEU2m2sT5DHZs7M7COhIMzZQJ8TXx/x6m8c/1IQvpNBCChciPagT/VQomnqjJfACX7Kc1XQZk9Wg8qtSBVJULv5RZqVe/XHtMPTrkLgCd9P+FRny84KzmQMP3xJSURAJzWpwvPXTKEqGA/bhiXdNgb2Af6mXj8vIHcNjGZkT3132lwjDuDJUev69rv3AbPDU1Q34sjjXsw2upU6aMRNzT6Os5Sh7/vLPAKytFD7e+pym3XZ88ZlImPCCA5Rp2bHyiubnTZnXmV/LX+c170fZ8x+V+2+bUOp993FjD55T9Zud/9fZdWXENBZT1+JiMj9KCjwWBgTK8ontCPq16av7vRbMV2s9vcx1k2i+oL5KRnymRrXThg1/cZbc2UydQzt/XJmUcyU2ZDRhlP/rSDKv1YzWZ3MG97vivYvb+wxl26LKYP9NfHHTJXqgyhrDXqsuc3mPeoe8VV+ZCtjl3pNxXih6r9fVUe5Hpkx+ZtUYEagOSJcNqD4BOoyv41MlbkH+zxHaZnyljtDtcEBcA90fTgiZHOfj/6sa+93h2INB2cCQlgtxLsUMsmJfSkQs+Uqa8ucZcxjUxSn32fwP9n76zj5CrPL/69o+vuvhvduLsTCBLcpbhboS2lFNofpUqRQnGH4lKKBg0RosTdk81q1l1H7u+P58rMWnYjSJjz+exnZmfu3NH73vd9znPOMZ9DzzPTlTQBfP/Y9hG8dwW8cZ7UfWuLhDzd/gk4wg7++AA6Ra9JmXXr1vn9bdwoi9iHHnqIRx555Ei/vgB+aijbJp7sqtfPNsHX732GZR2j3hjO9ZYPjdsm940lsWqVuR/dIiEiVYLHAFradVL5wJMni8rl3kFEp0mHa7ZGyoyOc0voPXSwRkhVKrlhRh+jmJabHE6ow0p9i5sdB45MUaWgqon9vtkYHjd881e5PukWw8v2vTUFeLwqU/vFMTw9CoDhaZEMTAqnze3lzCeWcaCuhb4JYbx/4yT66r674Ylw3B/l+uAzj8hr/l4w9VfS9X2IyIoNoXnCbZSMvN0vqK4ncIZGARBBk1GQH7XpLxIkFzcAznwWznxKTi7l22Hvgm725oP5f4b3rpLvWLfga0fKWDSlTKwiv+dsR43c4auU0Tuy08cbv48IzS87v7KJFpfH6JK+eIJJav3tzKH8+gTpYrzvk608uWA3qboSB0hWKv3IkiOBLcUy2Spot19fC7X61h4oZVpdRGIeJ2ekyfXFu8qZv00ImOkO03IhqOXwSZl7PtjEda+uYcHPqBP2aOPf83dxzlPL+HB9EZ9vLuGCZ1fw5ncFnPXUMt5Ymd9zq4OqPUaekrHQWCRqyI+Dz2CvmkJuUkQ3Ozh8vHj5WD6/bRqZvmqc6CyaLTL2Njm6tivrFbRMGdq0Y0ZVTf/kiGS45L9w22bInnZknq876IWPfsdL9/3hIG00DDpDvsc3zpNiii0IJt0q9+dMN7eN1bKuNHXNhthTaMWBxWIlefoVZqc9yBgN2OsLyQxXaXN7WZVXxb0fbeWb7WU4bRZeuHwMozU70jNHpvHJLVNYcucsfn9yLldMzuaZX4zhoew1WFDZGDSGTa5U9lY0Ehls55lfjOajW6Zx7nFTeOT8EUwbP5at3kwsqoey1VrXdtEasVHZ/bXYkJZswGMNoi4oRYroW835zZFCm9tLnFvGvXSlnLrmgDr9RwedTHW3QOHq7rftCXTrsj7HSRGl/wlSaOwE5fWtrNlfzaKd5bhiB8AErclk3h0SkK7jwCZ45zI5LmP74bYG06AGURoxFKumZtAzsxqdPl3wSUPN652QMrFxCXhVmUvvrJcicmKEk1a3l/s+2Y5r2EXGfKhEK5AnRQaRGOGklGjasEu+Yje5MhsLa/16ZBbuKDfmNEPSIglx2EjsQS6Db/bHZRMzsShSpNW75s8fm87dJ+eiKLCjtN6voA8c3UaOtkYJs9/5uRQQD7Fj/1AQ02KSG6OUXfx3rXRDO1qkUFtBJN94RS1qyV/OU1+sY0NhLekaKeNreeOx+CtDQyM7ztN19YwFr3RCg6zTavPBYpPzRckGKczuEpXMHq80L0U250vRFmiszPfbr6Wio71tqY/l7/YD9ewpbzBIOf2+XfkFBCkyX41NzmR0VjSlxPDhlkoqG9vIiAlh7rAUnDYr790wib+fNZSUyCCiQuyd5z4cIcSEyPFksygdLNJSh8t40F/dT+vGDwCoS5nMTq1orVbtob5CvscKotmlanZj5dsBiPJIAdwZnQKz7zXWk9fbPuaGpqcBKFWjqEfmKdP6xTEkNZI198w2cvmONK6aks1dJ+X6N7r4kiuOcMjspBlPa9gAWK4Oofa0l7q0YNXJ3fpWN0t9LQqDIs1GR3087wJfby3ljCeWstrH8tzPvizetC/zdjJmLNpZzhSLkAJxzUdZcXIQfLyxmL0Vjdzx7kbDjlq3LhPbMv/P8aJxGcwdloxXhb98uvXwbcz2Lxci+p/Z8rf9U5n3+zYraShQ48nTc8gq90iGUmvnxFcH6KSMTlpW7fVTqa/Lr+aFJfuOiC3bPR9s5uVleTz3rZzTnly4h+tfW8O0BxZw21vrOP+Z5QxUZMxVEgZB0nBRrFudkjt59gtiTapYxNJRJ113zJPL1DHS0OkI9bfyC9M+m4qdko8IkDoajvsD3F0CfWZ2+nqDw31JGaktXPHSKib+fT7VegOD3jxa3wUp43WBuxVvi/l9OF11HT5PT4NGBqsK2enp1CHHSmt9pbn+CU8y1b8gtRivNu9t12QdwPcErwe++Ytcry+BvCWmait9Qve5mwF0i16TMgsWLPD7mz9/Pm+99RbXXnstNtuR7ZYI4CeIQp9w+VKz+2BgsukRO8MqUtFRLpO0uWBshtkZFeJT6IpMk+AxQGnrgiRRVdx54uG+N2QY8VkyScxUpHhx/u474ZmpIlnV5ZVWmeA+fGIsl/gUtW0+3SCrjkCuTG2zi7mPLeHUx5aYXa0b3pCCY0isuWgGvtomixpff15FUbhwnKhlml0e4sOdvHzF2I6LzgnXw90HYMjZh/2afypQFIX/O3Uw/zh7WO871INEont6rkwCsmxVROzVTipnPydF0qBI0yJoxVMH32djJXz7oNiXFK3pkpQhVBamcYosQNOtmmQ9IsWceOjBmxkTjAlQcGsFCl72VzUaNgxBdgsXj89gRHoUV0/J5oTBSVw1JYeJObE0tLp5fsk+UhUzbyFFqfQjSw4XXq/KVq3brKqxjcZWs0jYW6VMXbObKMWcxE2JkNe9cEc5X28tI4FqEl1mwSC0rfPgwJ5CVVXDTrGw+sh9Jj9nfLHlAA9/tZPV+6v55Vvruf61tbS6vSRGOGlze/n9/zbxn+U9nEhrBQMDX/4BitfiUhzcVzmLMKeN38wZ0PljjxDiwpxkx7WzR1MU2uIHAxAel9bJow4BegHApS0Mm6sl2Bvk+FcU/9Dso4nc0+AXH0hX+5HAyQ9IvoSubBt9hRmqmz3D3C5OI2Um3gQXvs2mXLF/GpAYToij3dwyNNawWTsjXY7dJxfsMfz+n/7FaCa1y/cZkhrpX8xytchCHsg44WajE/m3Jw4gNsxJ34Qwfjm7H2eMTOX/Th3MpgghxPKXvi2Pz/Pp5NaaPd50z+Dp+qly2yHYXh4Mtc0uYjQyP06pDShlfozwDaP1/Y0cKnZrViTtAnnb49GvdzH2r19z9lPLuOzF73h28V6Y8TsZP6r3wbJ/y4buVnjzQrEMzJoKNyzjlamLGNn6LNbIVJztLKbaQn0W2AchZZKiQo1u12o1jGn941l0x0ziwhwU1TTz6UaziHOgVrf4CSIxIggVC5vRrGw/ub1LtYyeaaGr2/WckJz4UCJ6ETitW03ZLAo3zuzLWE0lv7WkDosi2WPRoQ6GpMhc0dci8dONJeT+4XP+9dVRyLVTVbFnyffJpVr/xpF/ns7g9ZDgMb+jEZY95FfW42ppwO6Rc1O5GsV+NYmG0EyseJhi2cyts/oyIVprmvMhZbxWU93hVi3ERndUkoSFhdKoauNyszYXzhO7y8rIIdT219Y08+6AtaKyesMzi3o1GCsewzKyrVqK522qFI5D6vZ0eC5f+7IdB+r9sjrL6uW+/fvEeqXeEoFiD+b0EakMSAxnTGY0t87qy9vXTTBC6e1WCxeOy2DJnbNYfffsHpGBh4qYMJ3kDMLabr3jiE6h2JqKRVEJOiBE8AVfObhhXg0AnvLdtOmZMuGJ7PLqpMwO8HqIVmW74OgUmWtM/TX7Rt8NQHqhNIjtQ+Y6esA7yBrse0X2dNNSqe+szhXDiUNQc2bwrW0SV7T+mtfWdN5w1dzmocBn3j9vk8+4rSgQqX1G+jquE3y1tZTrX1tNdeF23vkuz7hdV8qkRgWTERNCRJCNpjYPH2/sSPCs3r6PAVpRPtp1eEHmh4vKBim6F9U08+RCUVEt3yPrrIl9OqrcFEXhrpNzcdosrNxXxZdbD6NRTlXhwxuFiNatxRY/YNaFBpxs1Ia8WDigxlCoxtPsjJe58kc3w6PDO6onmqpgxdPm2KKqZsbhoNMgNAFQ/ayw7nl3Fc9/8i3fHGazXkFVE9s0m8R3VxfQ4vLw6gpZ/7S5vXywvpj6Vjfjw7TPLXGQzPOv+QbuKoBzXoCh54g92dirZZtPfyNE9DatXqEra0CaoHQMOVuIGdVrbpuqKcC6OW7DIs0sOHdEJnkVjSzZXUFlYxtrNEWgUafwnet4Pf7HSmu9uZ4BItQGapr856sVZZoal3BSokNo0prd3I1VPqRMsv9z7vzc3EGNPxEfwBHEzi87t8wDsdbzbXrY8r7ZhDbo9O/n9R2j+J5W+QH8bFDgQ8r4BHH5KmUG22VymNCaB0B0iJ0T+keYhM4Fb8jJxBEGsX0Niam1K1KmYhfO1ipaVDv9R05F0TJKsi0HiFIaiKpaL8z69k9NpYx2crLVF3XYnW5h9t0RIGU+3VhCbbOLuhY3y3ZXaiGMDwPQNO6XfLS9HrfHS1FNM9u0xeDMgf7dVmeMSCUiyEaIw8qLl40lLTqks6cCe88zVX720H5Tw+MUXr96PK+M1U7umVMkNE/HuGsBRTr0DuaTmbfYvF6yvhtSRlPKIJO1BDRyITLVnIDoSJ+gba+gqB5iqae4poUijfBIjAgiKsTBBzdN5p650iVjtSi8dMVYThgkhc8UH6VMItUUVHStOOst9lc10dhmyv59Fzm+1xtaD07K1Lf4K2X6KoU4rBYKq5vZUVrPZJuo3bxWWcBHeQ6PlMmvajImiXWBwOzDRmldC7/7ryhnJ/eNJSJICukXjktnyZ2zuG6aFPHeW9P1ItcP5ZoqSg+M1opUb7mmUUkkD547zFQLfs+I7CO2W/Hp/Y7MDtsrZfTuzJDYrnNojhYURbroQmIOvm1PEJYg4eMgzRCTbzXvSxlpWkjEalkENicMOJHJA5KJCXVw7pguiC9NLTMtWs7TekfnuaPT/DKAusTWD8WzOiKNqOGn8va1E3j0ghFcNK5jJpvdamHGGVcCMLRlLTvzS4yCe3m/88EZSZvi5Om2k3jfMwUviuToHMmwd6CmqY1YReZBsdRR19R2kEcE8L3Dj5RZcnj7qtgtGREopq96J2hxeXhhiXRZR4UIMfHR+mKxHDv+Ptlo1fMy/9y7SCzCwhLh/NfA5qC0yYsLG/HhTpwR/mSmGuET4p2kZWaFxIJvILCGUKeNWqQBq1oN44rJWQTZrVwxWSytnl60x+iW1e3LkiKDSQyXYvYdrVehOsLk2Prqj3y8Zg+T/j7fzxpnXX4NAHMGJ/nlCA5L7TpDpjOcOCSZtOhgrpqSTWJEkJldAZwyLIUMzV55aj/5PL7VLMy2H6jjN+9uoM3j5bFvdvkFnx8RVO+DPfPFPvLMZwFQ9y5g5QZzPaWq/rZrRwpqTT4O3LSqNrz2MMKUFvpTQE25rJNaVTv1yGe+yiEZBrNt67lpRhaOBm0t5UfKmOeuWkJJ6iT3MTzIRo3WIW0UTrVC7Jvlmfxf6VSxrindZDRqLPCOZLem9lC1Yqq3Vs6Z61Q5J8c05/nboQGl9aZSpqHVzQfrzPVfuXZfZUmevJQgOYekRgXzxe3TeO+GSfzqhAEkR3Z8DxaLYtieHi3Eak0DKVGdEz+lMWZBtlINZzsZ1Aal4lEVbJ5mImvlc4pOSDeUMu7Sbbjqy7EpXryqQkSceaxnz73DDNgGakOzABiWFkVkSM/JzyMKiwVm3i1zwnHXdb6N1Y5y6YeUn/wcLTh5aWkeTW0d5/e7yxpQVbM+/dXWUlwen9+LPu51oZRZsquCG19fwyXK5yxy/oq+hRJ6rqoqJRopk1OzHEflNq7V5r7/+mqn33PUt7iwFH5nqBITPT+sYr+iwTw+nlm0l/UFNYY99cScjqQMyPFx9VQZ3//x2XZ/m6veoGiNKFbsIWLTa3VKPvGq5+X+PrNg6LkA1NnjcWPDg5VXh78q6q7oLHFp+c/pph2ZqsI7l8Lnd5rZatX7xBHDYhfliG4DqtWrWvYs5fm661jkvI2SzT5r+kPAF1vMuUBJbQv3fLCZ8vpW4sOdvHTFWE4aksSfThvMtEjte0+QZi8s1o7z/pl3Sy2gche8cqqZs5N7qrlNqg8pkzNTFDdgOs+kjjroa05OkvOgV1X4rjqEr7eZRfkdpVoNLkLLffSd69SXmAoWgNY6LD7qo0ilsYNLR0WprAXrrZHYrBaarFrMQWOV2cSlN3DppIzmigOYTdYBHHksf1ws87Z+4H+7uxUW/kOu9ztBLjf/T+x6gT/v7XtEG39/bujRLOLEE09k2bJlB92uvr6e+++/nyeeOEIdlgH89NAFKRMX5iQ+XE4yfRSZCAe1VXF6/2D+dPoQnAfWgqdNitLp4+D6pXDjcgiOwhISBYC9fRCkhvqdcnLaoPbhjDE5ECukTKpSyUszfCwHdn1pFsqzNNlzJ10wY7UOvIXby3h/beFhSVj/u7aQC6zfcIn1KxbtLIe938ikwBnJ7XtGcOub63jk6118o534RmdG+3kHA0SG2Pn8tml8/avpDO0mvDSAXkBTytBSx+S+cWQWafYQw87z3y62D/TXwq43tPP7bW2AV8+Er++V//cuMu8rXueTKZPu/7gwUcrEK7VY8RDu0sgFX/sykIVo8jAJ2dXUNam2WjxelbVaIaCrzrwgu5WnLhnNTTP7MCnOPEHaFC/VZQWdPuZQoFuX6SisMiddfkqZHpEybqIUcxJnr9zB2Gyzs3JuuHQ+evvKRCCBahoOo1N8fUGNcT0QmN1zqKrK5qJaHvxiBwt3mIvI3/13I9VNLoakRvDS5eNY8rtZfHzzFP525lDsVgtXTZGF2+bi2p4VlHSlzNirJQATkbk/7zmZG2f04cQhP6BEetIvJRNr/A0H37YnaJ8po9sC+ITe/6Qx9Fw4/Um48C1zQQcyto38hTRgtCs66/YoekG3A+LFplEPIQaICLLxu5MGdr69L1QVVj0n18dcDlYb/RLDOX1Eapfdv4l9RlJqT8OpuNg0/3U8+8XX+sLNo7kx+ilmt/yDQjWeA8SyStEW+rrFxBFCdZOLGI3Mdypumut/fMHAP3v4WnoUfCeKLL3g1Bvs/hpeOF6uZ07qliT9bHMJdS1uUqOCWfDrGVgtCjtK68mraJTORWekFDkKVpo2E7mnGsRKhVaQjgtzEhrtbzFlj/aZv2RPg4FzYdpvu3wtTTYprNjCYpmu2cpeMj6TEIeV7QfqZR6MqXBJjgwiItiG02Zhj5pK5XH/kh2teIJTPx7FW83XsXTJfEDOPeu08/bIjChGZEQZzzsszbwOiHK5YBVdISkyiCV3zjLsl/QmFsBoIACYopEyS3ZXUFbXwvWvrqHZ5SHIbsGrwm/f2+ifR3G40Jt/4gegDjuP0qiRKKqXhe88bpxvn1y4h1F//orPN5d0s6Peo+mAdL/uVxNRtVyN0Zad1JVLYbqcSILt0mzxSrmMv7NtG3E2agU5q8OvsUj1JWXUUJIjO85Xw4Ps1Ko+pIyqGoT3cu8gPi+LwnvNAsnOzJnJm9bT2Ksms9MrZH1joRRgLQ1yHtjhGIpLtRKktkgQtU+uU3ltE0/b/8Uz9oeJp4ZVeeb4WaYdAzq54w49suH1h4sxWTE4bBamdWHVbNHXtMjndvOsAbx/80wKVdm+b4usx2OS0ilxZAHgKdlEfYWsgasIJyLUh3BSFFHLamsPR7IUjOcM/oE/l+Hnw537IGtyt5udOjyF9JhgKhpaeewbUX08sWA3pz62hAO1LezUCsxjM2OIC3NS2+wyVCGADynTrkaw6gW8L5zIA+8txOXxclWQKBmT6rfI5s1uGts8pCnlJH9yCbxxPldMziY21EFeZZNfU9KyPZWMVkxFeLxSQ2tLIz8UKrV5eUZMCG0eL2c8sZSKhlacNovfWNseN8zoS1yYg30VjXzSiRqoR9j4jlwOnAs5M8y1uHZckzVV1CJBUawPmWA8bHtDsOSnXfetkBLN1RI4vn8ZrHnZVKvu09bnuvImdZQ0siZqRMiBTbDscZyvnUayUoVD8TBot5DiK/dWcupjS3qdi/mlllcbp6nc3ltTyCAlj0/tv2Om9zueumQ0l41PRdHH/IRurACDo+D0x0VVX7BCiJa4/qbCHCBNiHKsDjk+fBtMIzOkQeogsMf3pdYWxxLvED7aXMn8beYaT1f9GNZobfVmdmJ71UprPVa3WXuIpJGian97uZoK+W5b7LLOb7VLXcbbVO2zBtLOJ2HauOP1WasH7MuOHnQyurKd4nTxg2ItGp4M57wo6rXWWkBlvbcPL2524Q5k9B4yekTKnHvuuZx33nnk5uZy55138u6777J06VLWrFnD119/zb///W/OO+88kpOTWbduHaeddtrRft0B/BjRWGFIyUGRRaCP9C03OYJwmowQRYBHZ4dy2vAU80SZNUUmg2HxEvwLWINloA7xNlFQ1cRj83fx+eYSqrWujgObZFK0P2y4dE6HxoMjDAWVkTU+AaeFq8yFg37y6oSUGZ0ZzaiMKBrbPPzqnQ1c++qaDv7RxTXNPP/tXsN3tTPsLW8gouAb/mF/nr/YX0LZ9hGq1vVRM+AcvtglJ6jnvt3L26ulUH5cbmKn+0qJCialky6zAA4RelZCS4101ZRtkd9FZ9JLvVhYusX/9s3vwZ5vYMm/pOCyz4eUKVpjntS6sS9LoEa8tC0a8eKrlEkbA1atI03rFhkSLpMcsV1QGeks9vPC9YXVonDHnIGckOpPODRXHDnJrx6UqcNXHVPkQ8rU98S+rMVNhA8pQ/kOpvc3F6BjkM/fNly6pZyKi/LyQ5f7B0iZ3mNzUS2nPr6EuY8t4fEFu7nlzXW0ub0cqG1hwY5yFAUeOX8kDpuFiCA7Q9MijSJ3QkQQA5PCUVX8/bu7gq6USR9HXrh0gH3mHceZx03ljqNsW3ZQhMVLJlZ45+N1r6EHI+rHsj52hP+4CkOHDEWBkRd3bsE0569wVyHEdCRfurVH0ZQyIbW7jQy2+6YGE7v+SWg5yOJ58QMyH7A6YOSlPX4Prv5iFTEu7xmsnhbK1Qh2q6nMy4N8NZGLx2cQ7rQxv00jZXzDqo8AapraDPsyAE9DaTdbB/C9w90m3bogmQeeVvj0V/DcLHhhjqmEOxh2fQ2vnSNKruThcEb39qlvfifzx/PHphMd6mBCjhA4X20t1ZRnWiD2lv8ZRGFNxgmsza9m4Y4ydpfLXDQuzEF4u9yP4Hgf5Zg9CC54Xexyu0Bp2CC8qkLuqKmGrWxkiN2w4X1jpcw/DvhkyiiKYjSY5CXOhuP/jNsuY2KGpZykfCGSCqqaqWpsw2G1MCglgpHacQ8wPL1dw9L/roMXZvf4GEyPCeGBc4bxz7OHMcRHdTM6M5pgu5Xy+lYm/uMb8iqbSI0K5tNbpxIX5mBXWQMPfXkEbcw0W5BSRzpXvLyKh8qFHDnbupgXvt1LXYuLpxbKOuurrUe2s76pRM65hZZkrBnjARhp2UWzZg1WoUYyOEXmzsvcA2hUnUR5q0yrxqhMf5tNn27vOjonZSKCbNSomn1nc43MpeuKcGFjjbc/LS4vBbYMmH4HLRf+l983XQAoFNjl99RSLApqR5OMhfbYTPbrWRML/wH/yITPfw+IpdmJ1lXMsa7mU+fvGa+YlkXlWqaMrVHmlErEj6shYkR6FJvuPYFbjutcnZs63Dy37gkdzc0z+5IRG0KFU9Yf0UjxNCYhjcZYOT85a/fRWiKkQIUS08EWjbB4ybObdCuTzr6J164ab6g+fuywWy38ca4U3J//di9/m7eNB77YwaaiWt5dXWDkyQxICufEIfJ7+cyX5DTsy9q5aSz7N5aC5ZzW+B5TwkpJ90gNIcxdTW2zi2LNlnFEsHZuri0g1FPHTTNFCfzo17sMEnfRznLGWvxtemsP5B2R999beL2m+u6Ji0ZxwqBE4/cwqU8sTlvnuTwAYU4bv5iQBcD/1hV1uV2X8LhgsyiNvrZPl+wdH2t3QhMkKyiuL/x2L48FmecfoxEwKAIueV/U102V8PJc+OL35j4ObBbCRs+HzdEyVRI1S861r8CXd6Oobr72jMSrKoxq/Q7PgS089s1uNhXV8taqnq+dKxpaWb1fVEYPnGuSI1fbPiOhaZfYrTVWSuOG1yXzhaiOKm0/9J8DN60wFQpjrvK/PyEXTnkYznlJMmZ8SRlfa7Pu4Ahl67nfcqnrd8zbVOJn479dz1l2hpkKd73GV9Ou2bO1HpvHnO9YFJWycv91X2O1jLWeYFFhuexaVEFLjbFfb2gif/p4C98e6OT3V1cov50AjixU1VyDVvmQMvuXi0U/yLrNGQ6DzzDunucZx6wBCR0tvwPoMXpEylx11VXs3buXP/zhD2zfvp3rrruOqVOnMnbsWObMmcNzzz1HRkYGa9as4a233iI9Pf3gOw3g2EOh1pXmy96XmmqZiTmx9FXanbArtMKb3s2QNbXDbu2aUiZcaeLWt9bx0Fc7efmN1+CBHL555ArCS+V5Y3NnyAMUxfS73vlFx9cZlWGe/Go7qgbsVgtvXzeRO+YMwGGz8NXWUt5b47/d/Z9v5y+fbuNfX3e9GPv4u+38zf6C8f+v254yXs9LrWZXcKvby+YiKbTMzj16QZEB+MCpLbpb62CT1qHT74ROLTmMgOn2GRe+Pt/z79M6YbVFTcVOmWgp1o6FVc2+LIY6si3aIiAiRSTLvgFp6ePN6xpZ0y9UirZr91czwbKNu/KuFP/17tBusqS2nzwdBvTOochgIY8KtAmyy+OlpLZ3Spm6FhdR+HTS1BczI1M6jIJpIbJZe91ZU6nTLFJqy3pohdUJNgRImR5DVVXeWJnPWU8tY3NRHQ6bhSC7hfoWN6vyqligdfCOSI/q1lJsSl+t63hXF6RMW6OWp+I2OobXNCVwU/npvOueRtusP3Pb7P7fv5f50YajC6XMzyEwUVG69bjuEppShvKdPH7hSJ69ZCSn7/q9KBdfPbNrYmbDW7Dgr3L9xL/3ilhLnSjdm3qo9XrrEN64ZgJjs6IZnhbJb08cyLQB8Sz3at2X+5eJ1/YRQk2Ti1h8bFwbyrveOIDvHzpJZrFLAQVg/ety2VgG6147+D5UFeb/CVDFF/7KL43A3c6wt7yB7/ZVYVEwrP5OGCRzDsM+ZZDWKLfmZWgsp0EJZczrLZz15DIuf2kVGzV7sPhwJ1ERYWbGBxCZ2IVSrQsMuvJJFp6+jBNPONnvdr3DfkuxBP7quQspmh1UYoQ8Z2ldK0y+ld/kfMw9risASGjYgcvjZU2+FIgGp0bgtFkZmSEdtlaLwqBkH1LG1WI2yfh60B8E545J57yx/utXp83K5L5SNPJ4VYanRfL8ZWPoEx/GfadLcfvZxXuNDIbDhbdczntv7Qti4Y5yvlQn4LI46Wsp5qb823jlrTeN+VSHzm2PCz66FTa9d0jP7SqT91DhSBfHAmCMspPWGvkdlauRhlq/DTuLvZqd3SLNzsTHugzwI2Vq1VCSOrH+Cg+yU63Zl3kbKw0blA3ePrQgj9+hFQPzKhtRVSFyFK2r3FYpa8iQNhkLY5MzDWsz1r8G7mbY+gEtLg+praZaLUGp4UXHP4m3ypxTz5QJb5FzryPmCOXFHUF0VxiPS+vLTmt/GlUns0//BQ6blnsT70/ihMWlEZeQSoFXU8Ds/RKAGmsXSrzk4XDCn3GGRDKlX1xH4uZHjOMHJXLcwARcHlUytjR8va2UXZpSpn9iGLO1Zkjf3ChTKeNTs2ipNSzQz7Mu5E/pq427YpU68ioa2V8pa7RBwTXm4yp2ctH4DOLDnRyoa2HZnkpUVWXFjiKGKfK6GpA5YGNpLxWVRwi1zS6j+XRAUjjPXjqG5XfN4tELRvCPs4cd9PGnjxASc+nuCuNY6jH2LoSmCqqJ5LplEXy6qUQULNnT5X69WRfAYjWsBkFsqA0ER8Fln8DQ80D1yHw6dYxWD1JlbNEdLfSge92+zOsGi52PUm/natdv+MwrjbvVXz3Iyn2ioNpd5q/06A7zt5XiVWFIagQzByQwKiMKC15OsGuZN83VMO/X8IFGMA04sWfz4KgMuOgduDMPxndi4Tf2KsidK9d9SZnUHpIywLh+ycSFBVHX4sbtVQ2Xm30VjbS4tPmskSujrVU6Uco4vP52ZdWV/k1ErjoZsy2ae4jLIecWS0uNsd/dLWG8tDSP93f5zKOdEWJvp3q7zXwK4BDRWmfmAekK75ZaeP9a+cyHX2jmVw8+y3jYZ95xXDmld/PFAPzRYxNUh8PBRRddxIcffkhVVRXV1dUUFxfT0tLCpk2bePDBBxkw4AfuXu0FnnzySbKzswkKCmL06NF8++2R7Wj8WaJgpVymjzMDQX0szK6dlsOTc9oV7Mp3SPdgoTa5ye5IyliChT0Pp8nwk7409DuilQZm1bxPklqGR1UYM+VE80E6KePRbHJyZpj3RWeZXTAttdDS0RbNbrVw08y+/FbryH7wy51+IearNdn7m9/l+92uw+NVyVzzD5KVKhpDMymyZRCr1KOoXlwZU3l2q1gA3HNKrnEezooNoU/8D5OR8LODbl9Wtc/s8mtvXaYjXpMUV+eZna4Vu83fO0gHKoi6xVftEpEqZIsvQqUwbVVUTrBov3s9gC/Mh8DJMCXaulw40yG/1cY2D/21cEh2fSWFnK6gTVraomVxZm8oOixLPh2qqrJVU8ocr1l/6EqZkpoWfMVlDd0oZdyax3J9i5tIxV/1008p4rrpOdw1XrP0C46BkBhqbFIkaao8tAlZm9vLZh+VT4CU6RpNbW5+/c4Gfv+/TbS5vczOTWD572aJwhFZ4C7QAjFnHSTLY4rhz1/e8Tfo9cKzM+Gx0ZC/HLwuVHsIN39SxlZvJmtH/ZWzZo7vZK/HAHT7Ml0pc6zZlx0NaEoZqvaQHmnnBFag6PONojXiLf7WxfDoCNj4rtxekw8f3izXJ//SDE/tIZSUUTQ4TRInbcQcJvWJ493rJ/HhzVOIDLYzOzeBLWoWDYRCay3N+esO842aqGn2V8pYm356pMwRtXr6scEIp01is3OEebvejbv8sS4D7A3s/AIObBSbkpMeEHVKN3hrlcwDZgxIMPIu9PPxmvxqKWD1mSVqPI8Us75yj8CNjeTIIAanRDAkNYITBycxISeWILuVWq1I3qraiE1M7eRZu0ZiZAizRg3qQJz3T5R9FtU0U1jdTKuWPZCgkTG6Uqa0roXaZhefbSllvVesiHOVPHYeqOPbnVI0HZ8t5/+R6VFcNjGTu04aSLDDZ55VvNac++ve+4eBP50+hD/OHcQXt03jw5unGBmZJw9NNlSb//x8By8vPfwMqZYSUW/kK6lcPSWb926bg/3Ev+LCzgTLNm7cdyujFSEidpXV+6v185dLx/f8Px3Sc1urpSu2NiQD0sbhVuxkWsqIPCDB2OVqJMN8LJQftl6F2vd4cweadbS5Q/O322gJI8xp6/Cc4UE2w76sraHSUApt8mYZ2+iqhr3lcn7Mjg/Dnijz8vDG/eBuI9Ilv42oxAwKrO0IlboiKkuLyLWI3c2BrDMpVOMIVVo5P03WcmX1rdS3uMhWpbgYmjqku4/qR4nEmz+j7poVDM4dZNyWkjPYbxslLJGc+FA2qLJGjigQ5UC93T9L6ljBvacNxqkRVCcNkfXVhsJa1mgW0P0SwxmbFYPNolBQ1UyhrvbXawS+mTI+bgnhSjN99pmNeXFKLfsqGtmgEdztSZkgu9UYlxdsL2NvRSNxtZtxKm7U0ES22uT37Kr6YSyZKhvl3BAZbDcIvYTwIE4fkdqlTbYvsuJCGZkRhVeFjzf00lZRsy770D0eD1ZTSX/iPyTXaIrZeKiqqh/pU1rfYhIFICqOs56F0x4TK7SznzPt6lc8JepTR7hJUsT1h4RBEJ0NV37Bi23HAwrPe6WRIWrPh9yuvMnZlsUUlPYsZ9jjVfnvWiHz9AaJe+YO4qrMcsK8dWJNDlI3qMmX5z75wZ5/XooCwdEHJ3Ei00yrsbRxPd691aJwylCzFnH2qDSiQux4vKpJTBmkjDbnaZfv4mmuJagdKVNf026+2ij/B0XKa/QERQFga60xGlwWFMlvsYwo83HJw83G6h9rrkxbU/d1mR8zfMe86v3S7LH2P2JbFp0FJ/3TvD9jIpvSL+ZfrrMJSejLpD6dZ08F0DMccjJdZGQkSUlJ2O0/UODbYeDtt9/mtttu4+6772bdunVMnTqVk046ifz8I2fr87OE7t+cNg4S/cPTQAb65LY8+cchne5U7BSVjNcFEWlycmoPbaCOUGSyNHNAPCdHyULUo/2ES0P6Exnt0+njuzhwRsDEm83/ozJFdqft168Tph0unZhFVmwI5fWtPLNIFizl9a0UaV1+9S1u/ru2Y2F465YNnOEV6zTbWU+wZsR9eFU5gf7PdhLNLg+5yRFcNSWbs0bKAuLEIcnHXgf4jxW6fVltgXSwRmb4hVr6ITROCxtXjQUjG7TJeJ/j/DNjsqeLfFpHe+syAKvd8E49xaYdM7o/siNEJhyh8f6kjDYBSrbUGDfpgc80V5k+5O3hapH3B1izJgIQ560wvIMPB6V1rVQ2tmG1KMweKJ0uesCbr40ZdK2U+WhDMX3v/ox5m0qo91XKaKHfSvl27jopl0v7aa9XU+A1OeX5WqsPQSqPdF76BlLWBUiZTlFS28wZTyzl/XVFWC0KvztpIM/+YgyxYU7DavHLLaXGImrmwO5JmfHZsTisFoprW9hcVMfLS/cZ+UiUbhblZFMlfCxh8IXWdErq28iJC+UPcwd1s+efOBya3LutUZOO/4yUMoeKyDSZR3jd8M1fTPXL0POEdC9eJ/kZ1ftg4d/kc930rsw10ifAcff2/jktFhxDTHve3EmndNhkRv8EUCws90ix9uHnXuCzTUcm+6G+oZ5QxewStTdri9yy7aKCmH9fz9QYPxAem7+Lofd+ybe7fnpkUo+gkal7W8K5aGkCK70DecJzBkVnfwAhsVKA0YNTVVXO23oosX7bYm3BO+5qCO1+gbu+oIaXl+YBGPZgIHa3w9IiUVWYt6lEvPP7m/ObLz1jmDUwgeV3Hcent07lk1um8vQvRhNkF2Kj3iLzozIlliDHkVnjRYU4SNA6bhdr339sqMN4Tl9S5uMNxULaxA/CjZVopYFdu3YYj5vePx7Kd2JpreFPpw/h6qntLJX2+2SgHtgETT0rpnWF1KhgrpySzYCk8A733TSzL7fPFtXeA1/sOGzS0aIRI7aE/twzdxB9E8Jh3DVsOWchSz2DsSoq5wavJjbUgVeF7Qd8msp0q6W6YlOhp6o9Lg4F1ecB0BqeBUER7IuUJoiccrGIriCSrNhQg1zp06c/yiXvwVVfwaRbYeJNfvtTfAhFt6PzPMwgu5V6i3yuroZKGa/BtCDDVMrs1Wz2+sSFkpCaQ50ajBUPlG8jUpVieFhcBmsiZrPem8P20fcac8nG/WsYqMgaP6TPRLZopM/x8TUANLV52F1aR3898zR1aI8+sx8TIqPjSE7zPxbiMv1JGcISyY4LZaNXttOzWpsdxyYpkx4TwtOXjOaOOQP494UjGa6RijVNMufvnxhOqNNmkI1GroyulPHtxNfD4FXfMVHW7HHUsa+8wVDg59h98mm0deNMrWnpm+1lLNxRzhiLkKtK5kRqHbLGU6uPnJNBb1DRIGus2DDHQbbsGmeMkM/sw/W9WJe52wxLzY88kwBYvlf77BIHwcXvSLaqhoZWNy0uWbs5bBZUFaMeY0BRYNSlYrUZkwOZGimjO7JkTzOtwa12uH4J3LIWT8ooYzxNyp3EMs8gbHi40fYRDzme5syW/1Hb1P1a0eNVuePdDXy3rwqbReFUrXltVEY0d/fNk41y58KIi+W6LRjOf61zl47DhaLA2c/DKQ8ZyseeYu5wsyFsdm4CA7Vzn2Fhpjef1msF/HZKmZaGWkJ85qoATbXmMaGqKvZWOS+Hx2oEj1aTC2k5AG0y1n+4R85jpaqZL0vycFM9/GPMlVn3OvwtGV4+BfKW/NCvpvfwJWVUj3y3uhPS6CvM+hngQeH68nN41HM2V0zOCtQwDxOHTMr8lPHwww9z1VVXcfXVV5Obm8sjjzxCeno6Tz3VvW9zAN3A45LuNBDbpSTtJOpDygBmTkD/E8z/9eDRASd1zvw7TaUMwDXjYqFcusms13yNa8RlJJ7brssgxmdimjpaOiVs2gJBl9jrxfRu5I8Om8UIDn72272U17f62R4BvLw0TzxQfXBgvdiU7Q4eirPPVHLHzuYO13U85j6D322VxfOV2gD21zOH8MRFo/hlF17BARwF+FqKDT4Trv66645URTED+Mq3y2J3w1vy/8hLYMwV5rY50yF5hPl/Z6QM4A6WBVA8WkFanzSCLHB/uUGIw3avN1atMW7SA58BCf4D2Pax+Ggv/Adsn2cSjvYQrCkiZU5VKtlf2UNv+26wpVgWwSdGF3P8x+O43Po5hdXNqKpqdptp6CpT5n2N0Px4QzEtzU0EKdqEN0MIJGO80MPmtAV2W7AsbtS6Qyt2ri+sASAmVBYgAVKmczy5YA87SxuID3fyxtXjuX56HyMnYGq/OBw2C0U1zTS2eUgIdxp+810h2GFlTJZMrs9+ahn3fryVa/+zWtRSvplMmmR6TZN8z/efM4wQR8cu22MGulIGFdwt5kInoJTpGooCMzXP8KWPQOVuKXzPfVgsLIadD8f9UT7bqr2intmsKRpHXOSffdALOIZpsv3IdGM88kV0qIPx2bGs8Mo5Y6JlK08v2tNhu0OBbvegw9laKVl+z0yFj38J3z4EH94kY/+PEAt3ltPm9vKXT7Z1yOn7QVGwSlRVRWsObz9a1+j2pjCaLOHcHvw3HnCdx/MrS2GcZjXy2W/hhRPg4Vx4fAw8PRmKtLnznm/kNdiCYeIt3T5VRUMrN7y2hjaPlzmDEztY356odYXf+/EW7v1oCy39xNLEpdhZ5B1ujMOdockqc48qa+eh4ocKndRYtEN+x8lR5pzLtC9r4V0tY/GMsdlUhUij1pY1i6loaCPUYWWMIx+enAD/vabzJ8pf7vOP6k/SHAXcMqsv8eFOGts8rNpXffAHdIXmaoJapXAVlDTQ767hgwezJPJUAI4P2WnYiPkqfo35ntdtdCHz6hnw1GQpfnYHj4vwZplPqVpTW2GqWNBZkMJYhRpJVIiDjBg5X+m2bqSPgxP+3CETwWI37ctUvQmus7dtk3mDp7Fa1OsIKTNW+43qoex7K0QpkxMfSk5COFu88ttQ17+JBZU21Up0fCLeuIGc0fYXvos705iPe4vWk2uRwmF45giqQuU9DrQWEaqprPbu3EKI0kobdv815E8Zseb7aLOFg12y/Taq/qomfU59LGLmwARumtkXu9ViWJWBZGjpa4CJWoe3QQjopExLjaFgVrV6xque4/E4o+T+/uLQ4VRcFJWWmlaQHh+rJq1pblIfaUoqrG7m1eV5jLRo84KMCTSGyPNZ634YUqZSI2XiQp0H2bJrzB2WjNWisLGwlj3lPbT6yl8GbQ2Uq5FsVPphUWB/ZZNhb9keZZp1WbjTRo6WXVFQdZD1rN70qEO3LtNhsYLFotlzeQm2WzljZCq/dN3Mn10X85VnFAAzrevZXV5Pd/jDh5uNJrbHLxpJtnIAVr8kv6EdmpXmgJMkk2P0FUIcJR1FVV72NFGE97JYPjojmhMGybxiZEY0A5NkjN6hNwF0UMrI2LrfK+NIS2MtIYiiyR0ix5yrwSRlyhtaiVRlX1FxGsETLON9kFtu99rD2FohBFyZGmW+uOTh0lwNPz6lTHM1fHm3XN+/VIiZJY/8oC+p1/AlZUDWT8Wa4t+36RipAxXVNBPutHHGyN6pqgPoiJ8dKdPW1saaNWs44YQT/G4/4YQTWLas84l7a2srdXV1fn8BtEP1flAs0qEa19+0L6vY5R9Erudy5GrdpjX5sE0jZQZ27DoFDFY2XGmiX0IYEx2aRUB0NqSOxn7Gv7HmTPN/TIzPhDN9vHQKDtA8rtPEK9QomC99FB4eDJ/+RpQF7TBncBJDUyNpcXn5fHOJERB+ytBkwoNs7K1oZOFO/8BNW6EsCtvSpPOjb0IYm+JP5iH3eaTFhHH3ybmcM1qeP8hu5ZRhyf72CwEcXURnwTkvwqUfwrkvHzxXIN4nVybvW1n8BkXKb2rkpUIchsaLSuxgShkgJNqHFAqJkxBDHTan2TmvQ7M1C3eZnsfRis/kMH+lSOvfvgQW/l3+3rpQrM3016GRkMlK5cEnsT2Abl12VtAarG31zLSsp6HVTU2Ty8iWudL+BVdaP6OhtSPp4fWqrN0vBYyNhbUS7geoitU8Rsu0IFZdCaQVQb2aJNvaeGhB1+s1G8Spmp1WwL6sc+hj3f+dOojxOf5d2yEOm59UecaA+B51yUztJ4W+Ns22rqKhje/yqkyvZ6u5KNzhSaVfQhhjMrsuIB4T8D3e25oCSpmeYuKNYlOhaOfOKb8SMjt5mFhYTP21WFgALPibZNxZbJB76qE/Z+ZEOO9VuPDNLhe6/zxnGMOmyHOMs+xgc2EVO/buP2w7A2+DfxZTsKtaxn1PGx5npJnJ98ntEpr9I0NRtZwXdpTW88nGYpra3Px3TSH/WZ7Hayv2++WQfW/Y/im8Mleag5Y9fli7Ki2SuWmpGs1LV4w1vPjf+q6AmiGXyTyhqVKsT+vNhgLX/pXmawEhDcO6J0R++95GSmpbyIkP5cFzh3cYe6+cnM1Zo1JRVXh5WR63b0hBHXMVD1iupIkgxmR2kSEBtGpF8nrnQeZFvUT/RCFllmnd6EkRZsaIrpRZsbeKDYW12CwKZ45MpS1eClah1RLoPqlvHPbtH0gHZ/7yjseU1yPhyWDOI/QO6d6gtR7+dwM8Md4sSHQBi0VhRn/5vvR8tUNChWS6lKgxZKX4F8kVReGSC6S7OrZhF2Pj5X1vLvTJlfH5TVFbpAVbL4SyLWZ+Z1eo3o8FD02qk2AtT6Ux83g/VUC5GkVUsJ3fzOnPOaPTOGtU97krit38fq2hUV1u12bX7muqQtVImXw1gQvGCsmzt7wRl8dr2pfFhZETH8qnXlHyqGtfAaCMaGLDgkmNDjYep+cqRBZ/S5JSjRcFJXEwZxwvhVln1U4StN9ezX7JeyhxZID1GGkCicxAtch7sUdJk0dWbCh77f0M9wYAT8ixS8r44jgfUsY3/3CCNr9doeW9EBRhhplrCjRXkfw+1qv9YcbvRKk75XbcNpm/7dizh4ZWN8F2K0GNPmoRTSkT6rQxPkfG3bzKJnIUrfiZkEtbqBQ0g5p6qf73ek1b7cOAbl92OEqZ2DCnqBiBe/632c+NoEtoa9SFnuHMGZLC0FQhm1fsrex087I6eZ3xEU7SooUcLqhq4p4PNnHWk0vZXdYJaRKZZhbxQew8O8G2ElnTDkwOZ3RmNOVE8YLnFB62XgXAcGUPeUUHunwri3aW88bKfCwKPHrBCE6Mr4LnZ8MntwkxXrFD5p99ZwsBceoj0Pe4Lvf3Q8JiUXj20jE8f9lYrBalG6VMCXg9qFpz83ZVxuy2xmpCkO9K0awAna5almvH1/7KJmK1xlJbuPxmLCH+c5Jam7m+rCOUVqu2TkoZ5a+UaW0QK7iDNR4cLSx/Ep6cKPO3xQ9CczX1EX1xD7tQ7l/xlBynPxW0J2UKV5tKKN+cIkxl4ficGEP1HMCh42dHylRUVODxeEhM9F9sJCYmcuBA54Pt3//+dyIjI42/9PT0Trf7WSOuL/wuH65dJB2o4YlSpEaFvKWyTVujeWBnTdVYcVXsl4IiTd/P9jCUMs1cMzUHpVBbcPkGobeHr31ZurYwO+0xuH6pFFXALJjnfQt1hbDqOXjxBCPIT4eiKEZ+wrxNB9igddlP7BPLBVoo6L++2mWoZaoaWunfshGA5GHHGft4/eoJfHLLFBb+ZgbXTMsJyPx+aAw52z9rqDvoSpmy7bDlA7k+6HRR14TFw/XfwrUL5f+UEebjuiBllDCfBVDmpIN3sWgTIGdLmbGpX+BzwQrx/ARIGCx/AN9qCrLIdKPzK0WpoPgIFL92aN2LAz1CmCRogakF1U0UVjcRRhP3WP/DPbbXcDd3JLJ3lTVQpyloimqa8WoWI15nhHj8glhaqSpUaqSMZl9mjZDj0dlyaDY4a/bLc+kEQWObB5fnJzRp+h7Q6vYYUv7haVGdbuO7wJ11EOsyHWeNSmVcVgw3zOhjhIN+uaEAVetmfinatJrcpaZyzui0Y3+stFhNMqqlBpq04ntAKXNwjLoUrpgnPsfjr+94v54Vtme+XObMhJCuC9I9wqDTzMaTTpAeE8Lpc+ZAUBRhSjPzHb9hwH+GUfrxnzjnqWWGQrAnaHV7WLO/SgpFTf6kTLi7irpiKbYubc2h5szXhbhuOGB26/1I4PJ4KfXxgr//s+0c//Bifv3uBv744Rbu+WAzt7555PJ3eoTtn0ojg1t7XSUbDnlXHq/Klh3yXcQnZzK1XzxT+8WRmxxBs8vD3xeW8c30dyma8xyc/xq7Tn6bVzzSZb1/p8wXjfNc2phun6usroVvtByvpy8ZTXhQR4uxILuVh88bwUtXyPz3822VLM/9Pc82TsduVfyyQdqjxSnFkOaQI9v5qOfK6HamyZGmUiYhXK4fqJPvYnZuIrFhTsKyxPt/sCIdsdP6x5vNJm0Nhvc8m96D1S/KnKG1Tgqm+njQWwuRsm2Sb7bhDWnE+c8ZULKx24fo5z89X03HC0v28YsXVh7U9gYwird7vckGgeWL1LQMI+Nwkl0a3DYX+5AyvsrhuiI/SxlveRcWtzoqhRDKU5NI1LKJomNimO81m4wq1Egigu3MGpjIg+cOJ7STjBhfWH3U546wrq34dGszR80uFFcjXlWhREnkpKFJhDistHm87K9sNOzLcuJDiQ118K19Ci7VisUlRelKJQaHzWJk/ryyPI93i+V5k2tEBVftTAVnGMF6Zkz5NuK1QrSiNQFVhXZUQP5kYbWhaO4Q+rrDYlHISklkj+ozvwj/eTSA5CaHkxolv2/fY2xMZgx2q0JxbQt7Kxp5/tu9NDi1OW1dEXhc2CrkmKuKGIB14g3w+0LIGI83RJq7nJod0+hUJ0qjz9qkOs9o+NQtzGy4ybRoY0VsX7wRslYMa25XED0YFvwV/p5m2scfIirqD5+UAbhjzgBCHVaW763kd//d6JcdubGwhqrGNiGfG+S9qzvFVeQb70gunZDJBF2xtKdzUqa8QSNlwpyGYu/9dUW8tiKftfk1nP3UclbndWJXqdeXIjMgJgdVVfnP8jwW7zS/p60aKTMoOYI4n/0PzB1ClSMFm+LFva/zc0mr28O9H0nm0OWTspmbVAevnCb1LTBsGcmcbGba/oQwUBtTt5XopIyPUqb+AIrXhUu1GmNKfVUpdkUUltYo+W1H0MiFz63ghH8t5tONJWY+onb8ONoR94Vu+ZzkeFV4I/UPcOqjUm/0VcrMuwPevRw+u+PIv/GDoaUWvvkzlG2Fty4SAga4qeJsHrRfL/OQhgOmk9BPAbpTg97stuV9uYzJ6WCzpysLJ+R0fX4PoOf42ZEyOtoXeVRV7bLwc9ddd1FbW2v8FRT8MPLSHz0sVojxyYTR1TCf/kq6NvU8jpA48cqO81EH9D/R9PhsD+0Elh7i4twxaWYXnE62dIbQeMm1CU82A86cYf4yUX3hG9cfZt8ruSElG+CtSzp03+lWECv3VbJG6+4fkR7FddP7EOa0samolg80H9U1G9aTqlSKF/YAk2iKD3cyJDXSsP8J4CcEXclSusW02xt0hnl/dJZJwIQlSD4SdLBzMBDq0wWbObnzbXyhKXmUhlJSwmXSHG/1IWUqd4uPKcDx98Gcv8h1fWEQlW68vhilgbYmH/XaIWJXaQMKXhIbZSEbZ5HXU1DVTEF1M4lKNRZULIraadf2qnYT5zCvJncPipKCp9Upr79iVwf7sqAYKRaFtfWelNlT3kBeZRN2q8LxPqRCwMLMHzsPNODyqESF2EmLDu50m9m5CdgsCsF2K5P79syTPDEiiHeun8idJw7kTE3uXLhlCYqrkUo1nPsKR/Lf4HNZ7e3PSnWQsc0xD4dmYaZZt2F1HD558HNBxgQYf13n3c05M41FHyBk/PcBi8UoBGRZpHAcvfYxDuTv4OVleT3ezYNf7ODsp5bz7upCbC3+Y2akt4a6Qhl/d7sTeem7UjjtcUCRbBmt4PFjwIHaFlRVLGHjwhwU17ZQVNNMSmQQJw1JQlFgVV71EVFx9hgrnwbVa6qpqvZAy6Ep4T9cX4S9Sb7naaOFsFMUheuni33Q26sLuPKjSiZ/GMpd27K4dL6dLV5p6vFoBXNvucyRa0Ozun2uhZr91/C0yE6L976YOSCBKX3jUFW45wPJrxmSGtltV+Oa5PN5yT2H3RnndLvv3qL9a03yIWV0+zId542V+UpktljHDLLkATArqVWUHzoqdsl39v61ohDTLc3Sx0nGHwhR09h5ka8DVFWIuspd0siSPEKI8v+cBl/eIxZznSjeJveLw2ZR2FvRSJ5ms1Xb5OLxz9eze9cO3l1z8HWjW/v+96rJ9EsM63yjbFHD9W1cD4i1V6vbw/I9leTv321uV1dMS/le499abZzoErXy+grUeCP7Jy7MycdazgNAkzMWay/WLxaH+f0GhXddtNEDnkMahawuJpa+KbGEOGz0034zz3+7j7oWN3arQnZcKIqikJaWxiKvmTdRY5Nx/syRqVw8PgNVhT+v8T8n1EZI/g+x/cTdoaWWviHyfSU0yzyzOWoAxxR0m00f2+YhKZFsVE1rM2tkUvtHHZNQFIXzxsi4O2OAuQ4LdlgZkR4FwCXPr+Qvn25jfZ3WmV9XBBW7sHjbqFeDscf6Z9/aImQdEacVmafGa01vjnBwRso5RpvX6eRtulKODY/Yq4anYI2VInOEq0Ls4HuKjW+LalAvnB4iKrSc0djDsC8DyE2O4MlLRmO1KLy/rohXVwiZvr6ghtMeX8rDjz2M+vgYeGIc5C1BqdyFW7WwVB3K8PQoJua0s5FrhzKNtI8Pd5IeI+uSdZrzQZDdQm2zi4ufX9lxHjH4TLkcfj4oCiv3VfHHD7dw7aurqWmS9667PwzSbJhP1OYl54xOozJBmnmjDiz3221+ZRPL9lRw/2c72FfRSEK4k9uP7wf/u1aaaJKHw02rTBWz3iT0E0P/xDAURWxTKxpa/ZUyGvlfrMZSq8ox46rxIRe12sP4JIUQh5VdZQ28umwPMYq25g+VcTs02EmtGmI8bG+LPOdF46WOsoDRMPpyuVNXypRtg03vyPU1r0DhYVrQ9hYb3gJXE/Voa2TVw1JGsNg7nC931EC/4+X2bR/LZV2xKFh/zNCVMnqDsV679bXmRxqtVu2TNcnEPgFS5kjgkEmZ+vp6PzuvhoYe+kf+wIiLi8NqtXZQxZSVlXVQz+hwOp1ERET4/QXQAxz/J7EYqy0Qv3Pdnka3gorvb27blXUZGPZlDlc9iuoVKR2YZEtnUBS46ku4aaVfKJUfhl8Av9wIN66AKbfDdYvFy7t0kxlqpSE9JoRhaZF4VQmEdNosDEgKJy7MyY0zRZXzwBc7aG7zULFFQjFLQ3M72lAF8NOE1p1Ibb4QBUFR4tXaFU74swT5dbVNqI+qoL3fbWfQ7LrwusmNki7TWN2+TO+wb6sXRUyfmZA9w9/CLzINgiJps8iEx9rQS4l8O7g8XvZWNJCtHMDmkrE/QtVIGU0pk6DUGNtbWjsWunRyU0eUIgtjJSRGFEd6MOHm/0rnq2IxfL7D4mWSF+2p8uvE6gnmb5PC2YScWCJD7EZobV0XuTc/V2wqkg7coamRXTYsJEcG89rV43n9mvGddmsfDJP6xBEeZGNwi3TIL/cORsXCr6vP5Jy2exnTP8OwFjnmYdfOFbplX0Rqr32gA+gEVhsMOUu77oCBJ39/zz3jLtTBZ/Og7VqWeQbhwM3vbG+xr6KxR+OWqqrM2yRz1W+2l+FolTGzRbM6iVFr8GiWR3vVZF5cuo+6xDEw4UbZwQc3Gh2pPwRa3R7qWqTAVKhZl6VFBfPHUwcTE+rgysnZfPWr6Tx1yWgmZMui7tNNh5YT1mu4msX2EyR7SM8YPNC9IqIrLNtTSaIi309EvKmmP2VoMr+YkMmEnBhGZUQB8OZ3+ZTUtnDAJuex8Kb9qC11WBrku771y3rJ2eoCukXWzB6qE8/XFN26/dPB7CBPmjaVtYPv4qRJ3St2eot+7UiZFJ9MGd9xPiHcyTRNxapo+ZSpSiUjYj2kVrTrVK7cpSlqtWB73aYrc6KomPW5m29mWXeoK5YmF8Uq6ufLPhK7lOZqWPYYvHomLHm4w8MiguyMzRISfaH2/fxvXSEPKo+yyHkbq1cv7/CY9mgqlk78Yls68WFdFEc1ojesZDlRIXZcHpWbXl/Hhc+twNnsY+daV0hdiZll5Srd2e1zq1o2QKkabXwXcWEOFnhHcECNplyNoDmod3Z2Nh9SJjyqm6aNYP/fY743gVwtw2CARk69tUpIo0snZhmE4nlj0vnAYza+NTnlN2O3WvjrmUN54Jxh1BFGvmoeJ62xmgrbHmTMJwdaZT48QJHnUHWl9rECfc0daY5LQ1Ij2OA1SRln1M9DKQOSAbXy98cxa6D/71knBEpqpfBf4NaaYmqLjHzcbWoG6bH+hKlFUyDFKTJnHhmurc2iMw11v17YzIoLpU98qGldFtsHLBaCopJpVW1Y8Ha0D+oK1fsNMtU/R6v3qNQUKHGHqZQBmN4/nt/OEWLz3dVCtM7bVMJwZTd3Nz+Egirj6RvnA7BaHUBkdCxBditjs2KwWRQKq5v5+7xtXPuf1dz1/kaeWriHsroWQymTEB5kKFkAbBaFT26ZQm5yBK1uL8v2+KuK6Xc8/HonzLgLgK+3yljZ4vLy1qoCGlrdhguKrrT77ZwBfPf72dJwphH8fRvMon9BVROzHlrIRc+t5MWlooS5+5RcwlsOSIOvYoGL3pVa16UfSb1pxMWH/fn+EAhx2MjUPu9PN5b4KWW8mrtMoRpvWPnZm+Qc2KY4JOsRmJ5hZ/nvjmPO4ESikbqBiiIN0UCY02aQOiDnouy4UEPVW+KbM6QrZdoaJENNsQCqNIF7PUf8/XcKVUVd9TwA97su4OGYP1KYcTp3tFwJSAZaZYYWlbH9U8kO/PdIePGkw7YyPqrQFbft3YtSRlJc08zUf37DY/N3samolsY2D5HBduN8HcDhocekzPr16znlFLNwnpKSQnR0tPEXFRXFqlWHJ5/8PuBwOBg9ejRfffWV3+1fffUVkyZN6uJRARwSnOFw9vOyuNn6AXz9f3K7rjrQlTK2IPHY7HI/2sHuaZUTXVs9OMJMi6Ou4Ag9uEw0OlMUPiBqAr2bYs0rHTY9aYg5aR2SGondKofPlZOzSY0KpqS2hRteX0NIiSz01Z4U2wP4aSAs3phYAEIidqXsAikCnvGk5MN0tT8Qcke3GusOVrvR7T04vAkFLxFaSJ5faOHIS4zQQsZeZd4emQGKQkOQTKScTYdX+Npf2YTLozLWnmfc5lRbCKKVLcV1lNa1Eo9pq2Fp60jKrDYsxOR9RSIFI4suj9UJLd2WLSrD+DyjE2RCFkc19S29U7h8vU0mi3rgZ2SwfI+BXBl/bCqqATA8nrvChJxYRmUcWuaLw2bh+EGJTLJK5/NGx3D+feFI9Gbcs0d371l/TEFXyuj5BXH9u942gN5hzFUyZxh16fdrHZE0BOXcFwmZch33uS/Fi8Jc6wr6tW4VG4+DIK+yiSJtIbp6fzVBLhkz1TgpssUpdTjr8mRbNYn6Fjf/WZYnJEPiEOnU/ODGH2wBeP4zK5j8j2+oaWoz3kdqdDCnDU9h7R+O54+nDjIskOYOl/nVJxv9C1J/m7eN615dTavbf6G9fE8lpz2+xOhu7RG8XvBo5HvBSplThiXJsaZ7ZR+ihdmusgaDlPG1ArJZLfz5jCG8de1E3r9xMm9cM56cOLFfuvNiWVMlecsp3iHNRuVqBIsK3Dy5cE+H5wBoc3v5dpcUnHQrnIPhhMGJRIeY85XR3eTJgHQKP3bhSLLijmxTUZjT5qe69M2UCXPajAaJs0enYdPm1wRFUBcsxeQLM2pg55dyu017bOUeOCAKIL9mF12B3H+OXK58umfHgW4zkpArquegSLFHPOs5GKyRu0se6VT9O3OgzOu+2VGOqqp89N12ZljW41A8pFYsY1epj7q5tgi+uNsk4QGlUgq3rug+XVt2ZkqhRCnfxqREIe6+3laKFQ/xinkstFUV0uqjlLFW76YDfDz4XbUyJyxTowylTHSIA7fFyamtf+Xk1r8TEtqFeqcL2Bzm9xsZ03VGkhLs/3vcryaSrBF2vuqqhHAnt83uZ/x/4pAk1gVPoEGVbVuD/dUe545JZ0R6FJu8WeaNvm4JGlmRoxbgwEW2Ip9BUGrX1pQ/SUy8WdwgJtxg3DQkNZL1XlHQlKsRRIb37rv9KcNiUYwMK1/M0EjuqBA7oQ4rJaq25qsrkmZNYKs3k8zYEP8Has4HOinT36kpWqMyzHmcnosJPHbhKG4aqo1FmoopNiyIYv35fGwHu8X+peb1ko2SrXGIqGxoI4UKJuY9eUTy6M4enYaiSHNXcVU9tg2v86LjAYKVNlZ4c/HYQqSgDnzjGUGfePn9hTptRhH+mcV7+XJrKW9+V8D9n2/n7g82U65nyoQ7SfchZc4alUrfhHDGZ8tYojcg+CE8ESxWVFXl620mgf2fZXk8/OVOappcZMaGGGsem9VCvDYWxgyVGlUfdT8tNUJgr8qrAq+LMKeV/olh/GJCpljd79LOUWljzbxai0XqTT/hRqvztYyv+z7ZyuIDmgLR3UL9shcA2G3NJjdL7MuiPKJ0cllCTNK9uYbIEDtPXzKau2fKMeMNijYU7mFOGzWY41CZGkVKZDDJmp2mTpYCsk+nDxFwxlPyf8l6WPfqEX3fXSLvW5SKnTSoQXzgmcy/iwdyftnlFGM2ICxwDweLXZpH3rxQrHLLt0Ftzy2Mv3fUaU27urpLR8pIFu0sp6CqmYe/3snz38r8Ynx2TMAB6Aihx6TMY489xpQp/qzZq6++yjfffMP8+fO56KKL+Pe//33EX+DRwK9+9Suef/55XnzxRbZt28btt99Ofn4+11/fiR95AIeHtDFw0v2ySA2NF+XMMOmOoM9MCT0bdl73ihKnT3fdbs0XPnXU0QliHH2ZXG55v4ONxUlDzAm/LnMG8e7+w9xcFEVsJUZ4pMCYOLTzMLkAfqLQOy5B8mQOB8kjpLMjd65M1noCrTMlN7yZCJqwonXSDtA7vxUhZXQMv1AITzBs1JqCpVgUcpikjF5cmBLiv3iIoZ6PN0hRLc1mkjLWNv/wxbK6FgqqmlEU6XwEiNKlzPoETu/S0P1NdQsGIChay9hR3FSUdx282B7VjW2G3/BxubIAiwiQMp3CVylzNDF3YCQjFVmwDpt6OqcNT+GZX4zhttn9/IjwYx76OVAnZeIDpMwRQ8JAybw7+cEf5OmvnZrDnZedjWe4jM+32v7HvoqDW0gu2WXaM1Y0tBLplTmJNVkaUkKUVuLaZHEXnSZNLk8v2ssHmytRz3pOxv/dX8HeBQd/kTUF0NSJF/shoqnNzfqCGupb5LJIU8rofv7tcdKQZKwWhc1FdcZn0+Ly8Ny3e/liSymfb/Yf519dkcfGwlpeXZHXsxekqvD2xfBgX6jaZyq3c6ZLoUS3ZjgEUkZVVQpLK4hUNMuU8KQut53UJ475v57O8ruOY3C/vjQqIVgUlc2L3gVgn+bJ/uj8XR3UpCDNDA2tbuLCHD0em502q18o+5isQyPRjwR8i+y+mTIgi/uIIBsXjvW3fQ3LEguzc9UvTcXLCC1Et2KXqW4afTmc8xLM+gNkaNmRE24QNXHBSti3+OAvsEgjZVLMLBXswbJOOfsFmQe21sF3z3Z4qE6SLd1dwd8/205M+SqsihRfR1p2GxbH1BXDy6fA8sfFdk0jC0MaZD7lSBrY9esLjRXCFTjdKUSe3arwxGmp0mWvwVVdIH77+sMa8vxJqe+eg7+lGGsqV43MCetssQZRarEoxIY6KCeKcqKNBpaewupDysTGdU0gWkP9f4/71UTjt+H7e7n7lFw/Ra7TZuWMcX153SPZnZWxozrs+xcTMtniNe2mQtJHmHdqpExqWx59lGJsipc6NYS4lKyDv7mfEsLixQ3CJ8syJy6Unba+3O+6gLtdVxEV0rvv9ljEqIxo3rp2Al/cNo0+CWGUoJGFdaZSZquaSUZMu3qFrpShlrgwJ5Gt2voqKsNHKbND7ETX/odBKRGMCtXsuWLl/pgwB4WqRlzq6peDIc+HlFE9oOftHgIqG9u43fYefXc8I+PSYSIuzMmYzGiiqcP+zGR+2/oYsUo9+x39uLLtDv7tuNrYdoF3pEHKAFw7LYd+CWGcMjSZe07J5bppouhatLOcvErNajDcSXp0CKEOKzaLwo0zZH2YEy/fzZ7OSBkNe8obyatswmG1EBMqVqq60uXe0wYbDbe+iIlPYQfSDFi+UZq6S3etYZnzVj6K+Cdf3jSGP58xRMh0PfOs3wmH9Nn9WHH99BzOGpmKx6tyw5ub8Thl3I4sk4b8ouxziY0VQiJOa8p024J9SBmZzyiKwpn9heyyhpkERliQjRrVl5SJJikyyDgXNLS6qW9xsaW4lnfWFKLq9vBJQ6WuOPXX8v+m947Cu+8Emkrmf54pNClCEOrNR2dpttsL9rfIHBMkW0ZHOzeeHw1cLWYOUupos4YEkDyMYu39qSqGij9gXXbk0GNSZunSpR1ImQkTJjB9+nRmzJjBTTfdxOLFPZjw/ghw/vnn88gjj3DfffcxYsQIFi9ezLx588jMzPyhX9qxiXHXwK+3wx274ZfrIWO83J44GH67F07paAXgB4vVZMR1Bjx9wtF5renjRcHjaoLN/gN7VlwoQ1LldbS3fzhxSDIf3zyF3w5vJdNShhcL9qyA8uqYQoK2UHZGQM6Mw9tXygj4zS44tRdEtlbomZXq4aGTU83XknuqqG0m3GDm2oDkUZzxJEy6VX7XgCtEJv3O1h76q3eBnaVCoAxV/Lt5Y7Vcmey4UObmmKcXh7sBj9csCKzWik0DkyKYkCMLnwjNvswIkksdbXbDgrF4AcDmoEaRY7GutOcZXwt3luFVYWBSOGnRMomKCJICRICUMdHq9rDjgHyXQ7sJhD4SmBJegkPxUGON4aSpUkg7flAit83u3yv/+p88dPsyPRDUN3MtgMOHxfqDdSnarBZmDkzAPvWXAEyybKagpPQgj4LFuyrIVfbzkP0p4qkhVuuEt8dm04LYjNjw0qraOP+4SYzOjKah1c1tb6/n+i+bUHXCXisodYm6YnhyArx6xiG/x/bIqzA93beV1FNUI/93RcrEhDqMXKpPNGJfbN7k/rdX+Y/z+vi0dn9Nz17Q7vmwY54UBr590Czu67kjh6GUKappJtQl51TVFnxQNZaiKDhsFlAU6kNk3ZFZ8a3cF9eP04an4PGq3PLGWsNWRoceJD+9f0KvuhMvGp9BkN3CqIwo4rqyxvoe4FtkT2pHyjzzi9Es+d0sMtp1olu0HBXL9o9lbh6eYmb6Ve4yf99JQ0WlPO035rEenmQ2Wy1+4OAvUFfKpHYs8GOxyL4Blj9hNm65muGTX9F3/9ucOzoNj1fl2cV7mWzZbDx0hGU3H64vxlt3AF6ea47zBzbCtg+hZANW1U2z6iAhNYduoR3Xc/Ie4PnUT/nP5aM5Md3f7k6pLyaowezGDfI0mBmDgLp3IXhdxnGgNsh45Ar2V7T4/laigntnbeQMMr/fiOiu7ctCQ8NoUs3n2a8mkqR1R4/JimZIagRnjEiRLvR2uHBcBvd7LmRYy7O0JHW02ztlWDL7HFKwrVODiU01m3tIkEarmOZ9hnXZdjWdpC7GqGMJNquFQcmRPOU5jS+9Y4kOOXzbqmMBE3JiSYwIIiUy2FTK5JuE7iZvjp9tFmAoZWKVOsZmRaPopIqvUmbrR/DGefDRLVC0RiwSwSBtYkIdFKlyjHir99Mj7NesHHVl5v5DtzCraGhlsEV7Xp2YPkzMGZzEOdbFxLfup1oN483Iawi/8WtaLcE8WjWeusl3827kFexSU/1ImROHJPPVr6bzxMWjuHpqDr87aSBZsSG0ub2s1fJj4sOdBDusvH7NBN69fqKh6syJk/3sLe9aNaRbWI/PieGS8WYDwAmDErtUnyqKws4QOSeEr3kCKvdw5s47SVBqyKlfA/+9WmyzXC3m3OIYI2UUReEfZw9jVEYUjW0eqm1mMX6pZzCRGUOIjZHfsEVrRvDYQs01fXON2JF/eLM0xoBf3mOow0YdJuFZRhRJEUGEOm3GOr2ktoVb3ljHb9/bSHm01jgx/U453+vz3YLv5Hs4mmithx2fAfCG5zhuntWPYM1Wc1KfWCMHZ+nuCrwDJLNQRWG9V2zlW/NWHt3Xd6jQm2B1Mk2z+CS2LwRFGqSTLwKkzJFDj0mZgoICMjLMweu+++4jLs48mJKTkyktPfgi88eCG2+8kby8PFpbW1mzZg3TpnWTDxHA0UNQZPc2UDp0UqZmvzC3oy49Oq9HUcx967ZJPvj3BSP5x1lDmTO4XSekx82Q3c9w4+7rALBkTe46yyaAnyb0zsshZ3VtS9YbhMaZ1nk9gUbKOJpKmZ2pPS4kVsiXG5fBiX/v+JghZ0u+ja7GcUhBxOo+eJd2d9hZVo8VD2mt2sLCIRPhF87JZvlds1jwmxkMCjdP3uFKE41tbpburuCql1fxp49FTTYmM5rwIDs58aFE0U4pY3OaBC6I97IParUJYdzaf0nAbw98mL/e6m9dBgH7ss6w40A9Lo9KTKijYxE1byk0VnT+wEOAo1x+C1E5Y7B20qH2s4Gj3UI/PkDKHHOI60eFIw2H4sGy7xvzdlUVm7G3Ljb8sN0eLyv2VHKL7X+cbf2Wq2zziNFyxJTQOGosZmNIvppIn6QI3rxmAr85oT8Oq4UvtpRSaNMyBPSgzq6w+2uxEinZcFgWKL7QO1oBtpXUGYu5lG4KnnOHSXFpnqaK8bUgWbankv3aPlvdHvIqheTZWVZv5NZ0Ca8X5v/J/H/DW6YiLacdKVOxE9p6d37cVdpAIloXaHhSr8g/a7wU5QZapJAXnzOUv5w5hJy4UIprW7j1rXVGQ0NlQytfaV74ulVWT9EnPoxvfj2Dl6/sJovxe8CAJJkrxIQ6jGwQHTarhYjOssnGXAXnvwb95ogVyNirzA706v2mBVhSF7ZTk2+TPKm8b2Hh/WL146sa8bjE1k5Vzd9FSiekDIjFcWw/aKkRcg/gq/+D1S+gzPsN90/0GJ3dkyxbjIelKRW0Vhez9bXfQNUesZTVQ4vn3wfvyvUl3iH0SzpII8S0O2CcrDVmV77OxJL/GMWUapvWeNNcSoTWsd+qap+pXggGDhTL760wT1Sq1kb5Xalh/kVJ3b4HTFVxT5EaJ2OUV7GiOLteD4UH2aj2sa3JVxNJ0Qi7EIeNT26ZyiMXjOzU0i0tOoSThqRSRxiDkjs+R5DdSuaYk3jDPZOHuJQw39+XppQJq93NIK0gvd+ahdPWi3n5TxhDfJR2kQGljB9SooIpUTWlTFs9qF7ecM9km5rZgTTWSZnRsW7+79TBpv2YLynj8SHXd3xm2plp65roEFMp49n77cFzMWqLoDoPVbHwddQ5ctsh5sq0uj00t7TQV9FI3JINR8Ty9PhBiQy0yGfxgvskWsfdRExUlHacKiyIv5hH204DFPomdG2fpygKJ7SruSREyLg0Ij2KkT72yX0SpKifX9XBFxOzAAEAAElEQVSEy+Nl6e4KjntoIfN8sup067LjByVyyYRMQhxWQhxW/nhq95b4O9LOoUoNI6p2G+rjY0nylFCixuC1OqXh49NfC3mnNw50dT76CcNhs3Cctn4u15VkwGue2eTEhZIQ50++q/ZQc01fWyiEzLpX4Zs/y22hZkE/PMhGTbtMGb1xQ583rtlfzV5NSb0g85dw6zppTAWZE4QlyrF2tJUou78GTxv71CS2qRmcNTKVX5/Q31BtDU+PEju2Jhdb406gqe9c7vVcyctusVNt2vcjJWX0PJmIZJnH6qSMpiTXlTKjtcb0uDAH/RPC2+8lgENEjysgTqeTwkKz6+b222/3C7wvKCggJCSks4cGEMDhw5fgmHiz5L8cLej2asXroNFfUZATH8YF4zI6dih+eQ8s+Ct42qQ74qyO1gYB/MQx5Gy44nM48f4f5vmjsuSyOg+atN9laDfhqZ3AEiQTX6u76SBbdo/dpQ30VwqxeVuFMNWsPhJsjYb/q69UN5wmGlrc/P2zbczfXkZpXSuKIpNiEIusSF0pExRlPpGvp6lehNHQolmxpZV8BatfhBVP+t3v9aq8ujyP5Xvks2psdRsBvLp1GZikTN1hkjIrNm7hjQd/ye6C7ymo+ihiY6FIz4ekRvoXQvYugpdPhg9v6t0Ou1vg6Z3pWqDzzxb2dvOnQKbMMYniJMkASyxZaN6YvwLWvw7bPzGKNRsKa6hvdTPEKsXC0ZadxKB15ofEUW81CxH7lWQSw4Nw2CzcPKufkdO1F01RWX4QUka38gKo2tv1dr2Arz3btpI6074sumtSZkZ/KUrtOFBHc5uHPe26XXW1zN7yRoOoUFVYn19DWX0Ll7/0nV/xxXwBH4kiwREGaeMkGFb1QkwfU10anigdx6rXzCjpCVzN1O1czACNVPHNk+kJotJz/f5P7zuciCA7T/9iNCEOK0t3S3bOja+vYeo/F5BX2USw3crUfr0jZUAKG52SHt8jxmXHEmS3MC6r+1wbP1gsUni5+B34Q7moVcKT5ftUPVKEcYSb4b/tEZlqNlst/Bs8M1WIEJAGg4dz4ZW5Qlq01IrdWWIXWX8WK8z8vVxf+ij89xr47hntThXLvF9z14n9efqMVAZYCiXIWAtYn2jZRmbp1wC8kfI79o76nYQcV+2F2nzyvIn81nUt/RIPku9hc8DJ/4TZGtG443OjmFIZMRiPqmBVPTjVVryqwhqvbqFk5loomjKmpmQvXrcbZ6tYlmRl+Te/+Cllelm4t4QnAgqWqIxuicrwIDu1PrY1+9WEDiqq7vDQecP57w0TmTGg82Pi4ol9eMBxI0U55/rfEdcPFAvWtlqutX0KQEVIn072cGxiSIqQMlaLQrjzKNiB/4SREhVEiRqLF/ndVvc/l7vdVxEX5jCyrwxopEyCpVZ+t76kTEyOjEvBMTBKU+xtehcaZS2iOwDYrRaW28fTqtqxFyyFL37f6etasquC99cWGnkyuyx9+PturWG6cJVfTtTBUNvkYk95A1WNbWQrB3AoGhHUVNGjJreDITM2lJF2qRtuVzOMYv5Ybez/dleF0azRJ777/LI5gxP9/o/vQu2ZFBFEiMOK26uSX9XEq8v3s6e8kdveWs+KvZXkVzYZtqCzBiaQEBHEJ7dMYd6tUw33hK4QmzmYc9rupcyaiKJ6aFHt3OS9A/WMZwAF1rwE710hG/c7/iedH9MddAKt0C3jRxnRfOUdTXZ8KPFx7cZgpw8p01orhBWYqk0fpUxnmTK6dZl++cG6IuP+vFqPSRqAfN56zSDv28N6j93hs00l7FvyDgBfeMaQFh1CZmwIV0/NYddfT2JKvzjsVouhIHlsSQlXNN7MK67jWK+KUjOsakuvjtXvDfpxH6GtHfqfKJda3nZxjSiQfnPCAO45JZdHLxgZyJM5gugxKTNy5Eg++OCDLu9///33GTlyZJf3BxDAYUHvsgpNgCm3Hd3nCos3rWMKumCzPW6o2C2D6qb3YOVTcvtpj8FF70BER5l9AD9xKApkTgR7zxeLRxQxmi921T6ZNIPfhKYnsGr5THbPoZMyLo+XvRUNDLNoxbvk4caixCCLABrKjKsRShMNrW6jMPfPc4ax9M5ZTNOKcKMzo4lCty/zsQbM9lEwxvqTMqUjbuF9zxTW2EfLDcXr/e7/ZFMJf/hwC1e/soqapjY+XF9MY5uH7LhQhqdFGdsdKVImaN5tXNTwMoXznzn4xj9ybNJImWHtMwvyNLuEvKXSfX4wuFth3h1wf6bI1juDngeQ/DMnZXxz1cISTcl/AMcU2nKkUy63YYXZDbv6BXMDjRT5dlcFoTSTgRRPhyl7SVBqZJvQOBrtZlG7Jijdb2HUP0nG+Y0tGvlcsbNrYlRV/bM2jgIps7ei0VjMdWVfBpAQEURcmBOvCtsO1BkWJMM1C8V31xTi8njZ6RuYDqzNr+a5xXtZuKOc575t9/pVFRZqKtKJN8PxPooZXSWj41AszOb/mdPXXsVf7C/J/xG9I2XsCf7kq66c6Z8Yzj/PGYZFgS3FdczbdICmNg9DUiN4+Yqxvc73+LEgNSqYVXfP5omLu1CiHAx6oUtR/NWzSUO6z+eb83f50+3q1r4i8/jN70uBKH+5NFeBdDh3p+AfchbMvFuub5LiDMMukHVK8VpY+x9ODBECREkaCn0kX/KvMZ8SrjRTqMZx97oIZj22lpVpUsRzOaO5zHUnakhslwXHDtCzDUs2mHZoUWmUYc6hSohhhyqkkFcjZTxelXCPFCZjPGW88vUqLHjxqApnThnh9xRx4aatVa9/c+FJcNlHcNHb3W4W4dMhXaFGgDPCLzvmYAiyWxmdGdOpkgYgPSaEpb+bxbO/aGdvZjPJN4+q8KVnNDvjj+/x8/7UMTIjCpBCdlef3c8VqVHBNBHE82HXw8x7WD7kXlQsHa3LwMzqaawQK0OdcInKkOzbm1bCr7bB7HslS7Q6T3tcol/DaVVYP37lukH+Wfk0rPRfS3i9Kje8voZfvbOBUi3XZGFrf/aoKdRZIiVEvGR9j9/jzW+uZc6/FrNoRzm5in8+6KHYeHaAu41MVUiZtrhBpGuf3bhsGZ8+3ViCqgrZGxPavX3eiPRogyC2WZQu7fYURTFyZXaXNfCdliHa5vFy1curmP3wIrwqDEmNMEiYnPgww/6sOxw3MJG9agpzm/6PrWkXcI3r16jJw7EOPRPOeUEsiNu0RpJjzLrMFzop822z1CSecZ2MGxuZMaFYg/3VihZHqH+jJUCij4Io1CRxQp02arXzQKPqpJFgEiM0UkabN67cZ+Ye5ld1UsfQrE7Zd3RImRaXh9+8tZrY4oUAfOkZw9R+ccb46TuOTtfqG19sKWXlvirsVoWLT5xBlRqGXW2D0oPYCv8QqNNIL725aOQl8PsSyJ2L16tSUis1nAyNhNIthwM4MugxKXPjjTfyyCOP8MQTT+D1KcZ4PB4ee+wxHnvsMW644Yaj8iIDCMCwcpl9Lzi/B6mcbptUsKLz+xc/AI+Phn9kiO0ISMjYqEuP2e6IAH5gRGukTPU+0z4qpHdenrbgwydl9lc24vKojLZpxa/UUaZix9fWqt5UykTQREV9K9VNQnzMGZzkZ2Nz3ph0Bsdo5xXfYnTKSMmPyp7egejMHjGDX7lu5N4mTbp/wLQk8XpVHv9mFyG00NTm4sUl+3h1hXScXzzeX+kWcQTsy9xV+QxrFrm0vV46pj1elc83H6C8vrW7h/7o4PWqLNAURaPbB0LrC7W2erMI1BVq8uHFORKI3FILH94Clf4ZRLjbfKxnfuakjK9SJqCSOWYRNXAqNWookWodasFKaCiHLR+YG2jH1cq9VUbOAYBTcROmaD7ZIXG0OM2xvzXCDLIGGKDldqyoiQYUsVrqwnJw/ZplZhEJxFrpCCDPh5TxeFXaPF4sSscckfYYnCKL+i3FdUZY7zXTcogLc1Be38qS3RVGnozu4b1ibyX/XSuLybK6duNt5W4o3y72VRNvhMxJRpGcgXP9tzVImfU9f6M7PvX/v7fjmA+xoFodfmqPucNSmP/rGTx+0UjuOmkgL14+ho9vnsL4nJ+2h3d4kP3I5IXF+uSDHMwqxqZ9/5e8L80sTZXi/b/lfXObnZ/LZWd5Mu0x/bfiZQ+QOAROfdQkaubdYdqz5EyHtLEAhDfIsd028Eym9ZfO7yu3j6H2uAf4bcQ/2a8mceLgpJ4XyKOzpFHN6zL87YNi0jigmoRtoRpPHjJ3aisVxdy+4lJCFTlOEqnmf4tk7tJgiyYxyr84Ge+XKXMIRGD2tINacYYH2Q37snw1weiKPpIIcdg67+g96zk49d+c6XyOa12/JjImseM2xyj6JYbz+EUjefyiQENte+jrkxfbjofpd7C/So6XTkkZvbDcWmeq0RzhZjHaHizNfCEx/nm4vuMXEB1i51PvBLYPvUNu+PIPUL7DuL+4thmlpZa/2Z4jcbeQwcu9gwCFFW6taS2/i5pFJ4gqWsgtlnd4btEuw2bMQG/OgV2hYgdW1U2TJZRr5poNdmM0pUyzS5pS+sSHHXTMs1oUjh8k5FdcmLPb7nw9V+bLLaVUNbYRZLcwUstBafN4GZcdwyPnj+j128mIDWF4ehRlahSXHjiHb73DDLUZQ86GaxfIeSimD/SZ2ev9/1SQGROC3arwats0vjz+K17wnExKZBDBDmuH+pwtKEyaFRSt3Jw9XRSvmuW5r9uHw2ahwSKPL1Vl7WkoZSI6nhMKOiNldKVM4SpoOzxHkM6wv7KJUepmIpQmytVI1ql9u1QtnzM6jbtPzuWc0WlM6RvHn08fwkUTMtmgyrFatWPpEX99h4163b5Mq7coimGtXdHQisujYlEgMbyHjSMB9Ao9JmXOPvtsfvWrX3HLLbcQHR3NyJEjGTVqFDExMdx222388pe/5JxzzjmarzWAnzPm/A2uXwIjL/5+nk+fOOV3oZTRO0vdzWKd0GeWuSALIICjAV0pU18i3qzg58faE9g1Usbp7RjW1lPsLJVOoNH2PLkhZZRJDulKGVeLFAI1hCtN7Na6noPtViO0T0eQ3Uq8VZtA+SplrHa46gvptmw3aU+LDiY+3Ml2Typei10K/zVCvHyx5QD2ss2scN7Mc/aHeHrRXraV1OG0WThndJrffo5EpkzlkheNYEN7s8iyv9p6gOtfW8O9H23p7qE/OqzNr6asvpXwIBuT2gf4+S7Uulu0VefBiyeJBWRwtCxUXI3w/jXi36+jfLtYPjojpcD0c4ZvpkwgT+aYRUZcBAu9IwBoXvsurHlZiqoa3OVCiuwqqye3faEE8GKB4GhcQeaxaYnzt9zR7Y82l7WhRmnWJp3kyizbU8GH/3vT/8bKI6OU0TNlon0sj5IigrAfJDfKIGWKag2lzMCkcMNTfv62UuMcdOpw6eZbsbeKqkaxgiita8Hr9VEF7dGyezImSIYhSD7JtYug73H+T56qddLnfdszT/2aAqjOw61amN76MIVnfgATbjz443wRY353SkyOdFb7IDsulLnDUrhueh9mDUwMdLT7wlc921P/fqsNBp0m15c9ZuYw+M47usqTaY8Zd8H1S+Gqr6ToOvZqIfq8LmMuQvYMg5TRkXPcVbx8xVhGZ0bT6FK5aF0u/ysIxWG1cOtx/To8TZdQFEjXMoK054tIyKTYh5QpsyZRGypEn6oVjPfmmce4VVEZahGyyBHVUeXlmylztNRZ4UE2w74sT03qlXXZYSMhF0ZfhhIpRaiUqB9ICf8DYe6wFL9MjgAEOilTWt+Cy+M1uvIzYjtRVARFCukPpm1SV5Z9A040r7cjZWJC5Vhbk3oJ9J0ttYUPbzYUtXtK63jL8Rcusi0A4B1lDgu9w7FaFLZ5tfN8D5Wubo+XOzzP8Uvb/xha/bXZAKI3BB0JpUyprH1C0oYztb9pGR0X5iTHR5lyMOsyHacOl2NUVwJ3hT7xMpZ8slGsmEZnRvPS5WO5fXZ/Xr96PG9fO4G+h5iDcaqWe1fRIPONob5uAvED4Lpv4ebV/sr3Yww2q4Ws2FBULHy03wYoZOvfoc2JRzHnMLbgcFGwxvQRYua4P0rB//QnhEDR82A0lNvlO96jpuCwWgwFVXInCutOlTIxOWK95XV17XRzGNhb3sAJltVyPXY60/onMnNAQqfbBtmtXDMthwfPHc5rV4/ngnEZhDptlEUMAaB216FlQB1V6EqZTtx+dKvBpIggbD/n/NejiF59qvfffz/Lli3j8ssvJzk5maSkJC6//HKWLl3KAw88cLReYwABgDPs+w1Ny9BImeK1UmBuj0qtG+bsF+CcF2WR35vQ9gAC6C2Co82iUpFMCnprX+bQSJkgtdnw5O8NKhtaWbSjHCdtZLnz5MbUTkgZza9cRwRN7NIKacmRXVgl6CROe6lzF1AUhdEZ0biwUan7gJdsRFVVnpm/mUftjxOhNDHVugWXxw3AacNTiGonezfsyw4WFt0VvB5Ct5iFzeA2+Qz097u+oObQ9vsDYd4mUTgdn5voH3hbf8D/e/W1i1NVePUs+HsGfHQLvHIq1BXKAu+6xXDhW/LbLVoDr54JBVoIo25dljQ0oDC0+yzi4gKkzLEKh83C+uCJAIRseBEW/AWAFV7JFmk8sJOapjYqGtrIVbTCrtNc+LudUWCx4An28eJOGej3HH3iw7AoQjS3Ret5Ejtojy82HzDCyD26pcQRsC+ra3EZRYsTBpkBvR3yZNqaYMXTZrgoMFjrPF24o5zGNg9Wi0JGTCiztRywb7aVsaNUsnVOG55KiMN/3uX2qlQ1+Xh175EClqGOASmYpIzo+MKzJktxrSbfLxS9S2gFuE1qDsWWZBKHTBdFRm8QFCE2NtAhNy2Ag6A3ShlfDD5LLvdqv42MSUKw6OiJUgbknJU0xCTUrTa44HW47BPImQl9j4esKXIe1C2YE4dCQi6KonDPKXLMbymW3/MlEzL9FMQ9gk7KaAhPyKDCYo4NDSGptEWK776zPh88bgoL/MneEYr81oNjUjvs3jdT5miFwUcG29miZgGw2jvgqChlDoYRmkXiiPQAQREAxIY6cNgsqCocqG0hv0qaDDI7U8ooiqmWWf2iXLa3xtTR/yTzervxPlYrQFc1umDuI6K2KfxO1OZA27bPGGTZT60awnmtf+C3zZcR6nRw0bgMilRtDVZbQE9QXVdPGqKePcO61FTKjLhILo8EKXNAs2dKGtLhrrE+mWK6HdbBMKlPHO9eP5EHz+lejarbl7W6xX1hfHYsUSEOfjm7H5P7xh1WY8Mpw/yJ68Gp/nZdKEr3NprHCPTvbNEOaULM9iHZXDbz+3SEaJ/Pxe/A1V9Dmtb4MvgMuPyTDsX/nc5hXNp2J793XU1ipNP4rlJ8zgn6c9U0uTo2UyqKnHMBNrx1RLKRfLGnrJ7jrWsAGH/Spbxy5ThRCPUCzixx4gkrX9f5Bgc2w1sXw1+TYdsnh/V6ew1tLl6mxPLy0n20uU1nLN2CuNdzlAB6jF6PHBMmTODRRx9l3rx5zJs3j0cffZQJEyYc/IEBBPBTQkyOFLw9bR07wpurzZCy/ieKbPUY7ooI4EcCRTEtzEq3ymUv7cucoTJBCqWFpjZ3rx77xILdjP7L17y9uoBByn6seOQYiUw/KCkTrjSxq0wsZ/y6IFUVGivlsrlGbutFlsaoTNl2h5IlNxzYyKKd5Zxb8RR9LTIZc9JGPJKR8ouJHYOAD1sps2cBYa2mVVu4WzxvizXv1aKaZhpa233WqkrRmk8peGgalfcPR9Xf+w8Mr1fls80yKTtpaLuu2faLNN//K3fDnvkS5Lj2P1LUjOkDl30sHYORaXD6k2CxSyHzhdnw1f9BSSBPxoCfUiZgX3YsoyBxJh95JuKyybyh0hLLk27p3rdU72N3mZalooXkMuJC47GOCCEnVK0I1KQ6SUz1ty8LslvJ0jp6y526UmYXqqoaihJVVVm6vYDxFrEP3Jt5nmx3BOzLdOuyuDAnY3wsEDvkyXx9L3x+J3xoqkt0pcyBOlkAZsSE4LBZmNQnjiC7heLaFgqqZGzNTQ73ywcLssuSplR7LB6XmYOV0wM7EUcoZAhhxu75B99e8y1f7h1ETlzYQVVAXUInF2IDpEyvEKd9booV4nN7/rjMSRBmkoUMOQtGXy7fffa0w/8esqfCpR/AJe+JgsZiMRu9hp9vbDYyI5rTtO7vEIeVG2ceQsh8mj8po0Sk0Bpsvjd3eAbBsek0qw4sqhtq9lNV6l+4nRKikb9hHTt+vy+lzOue45jY8hhveGaRHPn9F33+eOpgVtx1HOOyYw6+cQDHPCwWxSgEF9U0s1ez0syI7SIMXrdh0sn8IWd3vl1cP3N80fKMdMSEaaRMUxtEpZv5Z/Pvg6p95Ox5FYCvQ07mO1XGuzmDkzhpSBLFqjy/qrsoHAT1B3Yb6v6plo2kKtrabdgFgCKODPWlXe+gJyjdLJeJnZAyPseZrmzpCcZmxZDQiZWVL3LaKW/GH8FjOjkymLHanMZhtdDvEBU3P3XopEy9trbNjvP5Dn0szKxO7faYHEgdfdD9hgbZWewdTjlRJPl8z75KmRkD4onTjpVOLcz03LiNb8HDufDJ7T16Tz1BfdEOkpRq3IrDtErrJXJGTserKsS7S1izuZ2TxqJ/wtOTYfsn4GqS9/B9QlPcPrexjXs/3sqH64uMu4o1pUyAlDl66PEK4p///CfNzablzeLFi2ltNb2b6+vrufHGXsr2AwjgxwpFMRdR7T1aK7RJV3iKKHgCCOD7gm5hpmoB0aG9U8ro9mUhtNDY6unx48rrW3n0a1GHDUwK5/p+QnKQOkqOlYORMjQbhUY/Umbtf+CBHFj2b/M9Bfe8U3GUZruwrFHr8CzZyKYln3CxTSuoaTkdVw6Ga6flMMyngKfDN1PG61VZvqeSFlfPPxt1wxsALPIIsRCj1uDyeCmubma8so1QmtnVLph65cPnkvrxRaTXbyC2OY+daxb0+PmOJjYU1lBS20Kow8rUfu1+WzoJoxe/SjaYFj+7vpTL5OEw/ELpEL7sYwn61ZE7F25ZDSMukf+XPgKb/yvXf+55MtAuUyaglDmWkRYXxa2uW3ho5BdsO+0TTmy6j+2a/UhoczF7D1Sj4KUvPt2rNm3c1NSR7hgp7GxWs8jupKjRX8uV2Yc2Nlbs5IM1+/nb3+5h91Pn435oEF83X0CE0kyNGsrXaPOdhlLU1voO++sN9mmkTHZcCLnJZiepn1KmJt/sKt7zjWRLNVaS+ckF/M75X2Mz3dokyG718+6OC3MQG+Y0CiRT+sYZxR2DlClcLflXIbE9H2P6zpbL3V/L+Lbscdj4TsftVNVQyiz3DqJv4mHMBfvPEcK6vZ1aAN0jaRgMPVeyXey9UFdYrNKpC2KpMuh0CX2/8nM5bx2NTueT7ocT/wHjr/e7+e5TcpneP54/nz7ET5XSY6SMAIuP5V14MmqEqXixxWaRGh1KnirnYm/FbpqrD/jtIrlNG2d8iSoNvq+pvcr4SCHMKRY4JcQCyg+ilLFalO/XNi2AHz304uOCHWWU1LbgsFkYlBzR+cahPoRmVEbXBWhFgfNegbn/6tAooCtlCqu1WtvoK6Tw62qCty6iT8Ma3KqF4MnXM1Cz8Dp3TBpjsmKotova0ltT0CPrzZZSUwlq1ciZOmcyRCQfOQszzb6sM1JmXNahkTI9QY4PQeCwWRieHnVE96/bqOUmh+OwHfuqmM7QXt3ka0dnD/GxdOtlw3K40zyXJfmQ874EzfjsWNI1xVpBVROtbg9LdlWY7h9DzoZpd5gZgevf8LfNPgyElolLSV3M0N7NOXwwODudHTY5xt558yXu/t8m3B4vrHkFFvxVNkrXcq19HSmONlrrjYbzNXVRAGwqqjXuLgqQMkcdPR5N7rrrLurrzYXa3LlzKSoyGbSmpiaeeeaZI/vqAgjgh4ROyrT3pdS92QNWEwF834j274jurX2ZopGIoUorjb1Qyry+cj9tHi8jM6L4/LZpzInW7GZ07/X2pEy9tuiPlEJjhNJIRUMboTST6/QJnN78nlwuflAurU4JxewhhqRGYrcqrGyWnBhvyQZG5Uuhr2LgxYZU+vqhVn5/cuedtJHBMgmsbXLx+nf5XPjcCh7RCKiewJ0vVlzvIMW8CKWJ8uoaUiuW8rbzzzxmf4ydPqRMbWke4+u/wqsqlCIFxcairT1+vqOJjzaIumhWbiJB9naSbH1yOPwCKSC21EhhFWDnF3I57AI482npEI7saIVCdBac8QRMuEn+b9J+CwGljBl86YzwJ7MCOOag2y+sLWjgnxuclBONJyRButnxUl64m3SlnGC1WcbEhMFmkUfLEVMSh3Bu6x+5U7nd6Br0he67vrlVs8aq2Enkoj/woP0Z+pZ+jr1BjvVG1cmz7rksLVZRg6VQcuNj/8Xl8XbYZ0+RVyHdi1mxofRNCDNC3VOjfIjHhf/wy9Jh5dPw+Z0oeYu5SvkIJ6LoyfEp2OgWZgC58U4oXsdVk7O4bloOfztzKInawr20ThrGdi//SDbOmdHzQrtOyuQtge+egy/vhvev7dicU50HtQW4sbHa25/+h9MxO/mX8Psi03YjgJ7BYoWzn4cZd/b+sSN/IcfWoDM6VYgcccTkwIQbJCfPB4kRQbxy5TjObpd112PYg83iU3A02INxxpj7Ck3MITU6mDxVxoHqwu2Ee6ra7UQrZnVy3okKtpMdF0pihJP4QyGNegCb1UKojwVMgBwJ4McAvfj41neiLJvWL45Qn6KxH0LNhgEGn9W9HW/iYBhzZYdtxmfLuX3p7gppDLNY4LR/gy0YymSN8Ll3HGlZ/fjPVeP47w2TmJATi8NmISdHGnmsrkZx8zgIPBViU+rGPO4aorRmIH086Sw3ctvHsOPzg+6f+lIp8CoWyW1qh/SYYC4cl8FZI1PJ6MwS7jAQ7LAaqtwR6VEd1zKHiQvGZnDb7H786fSOZNPPBe2JNF/7MmuQD3HZS1ImzCdv1pecD3ZYGZURRUK4k4k5scZvJr+qiYe+3MklL6zk5WV5srE9CGbdA9csFNtsd4tx/BwOVFUltV5zd8gYf8j7sVoUsieeCcBMy3peX5nPe+/8x1T0TLsDLn5XrtcWQGNFF3s6wqjOk8vgGHbVyTGzraTOuFtXyqT+zHLXvk/0mJRR2zHv7f8PIIBjDuk+Shm3j0e5nicTIGUC+L4Rk+P/f0gvZdnaBCmUZhrbW2p1gVa3h9dWiKT1iskaKVS0Vi5T25MyVeD1mkoZzYYpHDmZ329/lqvWnycdzO42M1ukVTvx90IlA9I9PTglkm1qJioKloYDTFY24cFC7JzfmiSWPtnoBLpSpr7VzZdbhExasbeyZy+gtR57nRATLSnjaUWzHygtJLlRbIFmWddTnbfReEjV9qUA7LRksTPpdADUTkK4jzhUFTa+C5Ud7YkO1Lbwy7fW8dLSPABOGdoJKaB3zaWNhcRB5m2t9bB/mfzf74SevZbZ/2d2z1mdZmfezxm66i1xSCBf5xiHrmz5Lq+KBZon9+9PGWQUTlvKdpt5MgkDJasic7L8HyEF1z4JYaxmIOmZfTr1SO+vKTeW1Wljc00+M+o/BuAp96lc2HY3I1ue5k9DvuRJz+msy6+m0pkOgFK1h3X5NYf8/vZViCoyKy6UILvV6OodEFIv4eoL/g4btByu4/8sl+teg02yELXjYrRFxkTfDsyZA6V4PlbZzr+qboJnZxC59VXuOjmXjJhgZnuXkkQlB2pbKK1roW6rKPgqEib1/MUn5IoK2t0s1moAqPDhTWKxufhB+OBGWPooABvUPjQTxNT+vWuQ6ADb0Sl4B9AFkobAb3bAmcdAM6FuYRYuHdyhSX3xqgr1ajBxyVmkRoWwX1PK1BbvMuxcCW9nUapnG/nAYlH47JdTmf/rGUe1Kzw8yCSrAp24AfwYoP8OdWtj33y0DgjzIWW6si47CIakRpAcGURTm4elu7VCbEwOHPcHY5sX3SeSEx9GQngQozPN9VK/tHjKVa0Y3t7CrKFc8tt8YK3ZB8CqiONRFSnAxvfR1nN6TtWm92Q9p6N4Hbx9Cbx5vpwDW+qgen/nuR2lWp5MTB9/a14NiqLw97OG8vD5I7BYjvx8V7cwm3AU7AgdNgu3ze7PiCOswPkpoU98mLFMsVkU0nxV0D72Zb0lZXxJz8R2NnVvXjuBBb+ZQWSI3SBl8iqbDIutBdvL/HdmsZiNo0VrevU6OkN5fSsjVFnXh/c7vAaaoEEnAjDbuYUQWpi6/T5xCxl2Acy8m2/yWtiPlrfzfalltDxJT1QW9S1SH9peUm/U+3VL9sD5+ejh56m7CyCAniB5uLDszVXw3ytN+WOFTsoECokBfM+IaaeU6aV9GQ6ZLIUqrTS0tB1kY8EnG0qoaGjj5LDdnFL6NNQUmGqx9koZ1SMKCl0pox0jIUorNtyMsOzBonpg49sywXc3+z9ZL/JkdEzqE0sTQeRjFhh2xR+PEp0lygzolpTRfdJV1SRjth+oM6XQ3aFsu1yoUQzMyaLGIoukA8X5JHpNC7cBea8Z19353wGQHzwYS4J8PqF1hx+ufVDs+hLevxqenw2Ve/B6VZ5YsJsT/rWICX+fz4fri7EocN20HOYMbrf4bKyAOm2hlzTUv5Nu70LpeI/JMT3+DwabE85+QSwfBp/ZoXv4Z4ns6XDygzD34R/6lQRwlDEhJ4aThyYxJDWCIakR3DSzD6cOTyEfOe5aDuxikB68m6gFmE+8Ceb8TVQVSGfiwt/M4KmLOw8lH6DZl60ttxgKGAsq73umcL/7QpZ7B1NNBNfN6Eu400Zjm4cVtWI7kaWUsmSXkEVer9pr1cy+SikA6YTKA+cM5y9nDGHUjofhy3tg0T9A9cKAU2DSLWJD5dWaBGyy4Jtokc7GPj42GQnhQdwZv4x3nfcR16p9Pnr2y9YPuCj///in/VnK6lvYlV/EcEUI6Mf3p/f8xSuKaSOmeiFlpNg6Ve6Gfw2Gb/4M61+HNS8BsNSTS2ZsCCN/xgWanyyCo8F2dCy5vlf0mSWXWkd6fHIGN7tu4TrX7aTHhpESFWQQvt6KPcQpGimT0m7s6EKhGWS3ahZjRw8Rwb62NYFO3AB+ePh2hFsUOC63G0Wdbl8W21fmyIcARVE4YZAcp19u8bGAHn89ZbmX8rT7VIrDhnZ6LKZGBRu5MtT6ZEblr4RHhsCrZ/jZmgXXS9NHWdRIlAEnAWDP0QrNw84TxXbFDtj1hbmvVc+b19e/Dv9Ih0eHwSPDYNfXcntTlahgP75N/k/6YdQkN83sy4mDk7ikkxzRAA4fvmqkjNgQbL55eodByvj+ttvbWDptVoO00e3Lvtp6wFBGr9lf3XGuqivMCw+flNlfUEAfi7iE2LMmHt7OkoZDaAI2dxPvpbxBqlJJmRpNweS/oQL//HwH6zxZsm3JusN7ru7g9YJXs2uvEqK2KdScL9e3ug07xeIasQUOkDJHDwFSJoAAuoLNAee8CFaHSHbfv1YGMJ2Uie1hATKAAI4UfO3LrE7T8qin8JkgtTY2GNeb2zxc+5/VvKopYnR8u6ucB77YwSAlj397/4p12aPwwvGACpHpZneYzSGTeJBJua6U8TlGImkkEU1Wv/1Tw4/fKPBDr5UyADfM6MPApHA2ejKM2yJm/Vqu9ICUcdqsRkC0yyOLlhaX18hF6BaaJHq7N50xmTE02oWcKincT7pSbmw2sXG+fC5ASJlMsKqjhxOZJoqThFb/z/2oQC9eNlehvnY2/3j/Wx74Ygc7S+V3MCojig9umsxdJ+d27LzfL+oeYvtCUIT5ne37FrZ8INd7qpLRkTAQfr0dzjoGOpWPBKw2GHdNp1YPARxbcNqsPHnxaD65ZSqf3DKVO+YMxGGzUBski6FkbwnDNELBKGoERwkxE252s2fGhnZpp5IVF4rdqtDY5qEtSgLE69RgPk643gizzo4LpU98GCO1jtudbVJYylIOsHiXdOre+d+NDL33C/J6Mh5q0LfN0kiZQSkRXDIhE6V8h2zQdzaMvQZOfkBIkEm3yO0xfeD4+wCYoJEyvkoZgKssnwLgzdRCVvNXSLFJKwqNt2ynoqaO5l2LsSoqe7zJvLLVzfYDdfQYuoWZxQ5nPGUSpW0NNDriWBRxGt6QOFzYmeeZwOkjUjtVKwUQwPeCfsfD5fOM32l2XCjzvBNYpQwlOTKIlKhg9mukjKVmH/FKjTwudaT/fjpRynxf0JUyoQ6rX65AAAH8UPAtPo7JiiG2O/u+wWeIu8bxfz4spbPeEPX1tlKzMcxiZWGf3/IP94X0TezcJjM1Opgig5TRGqhaaqURy90iNuz6mgsIbxbixh2ZJZbDV883mxGCImHMFXJdU4TSXC3KGYDZfzLHCsUiTVnvXgZrX4Wnp8DCvwsx5IyEkZcc8mdxOJiQE8vTvxhNQniA4D1a0HNl2s/RDo+UMa3m2itlfJGpkTIVDWZzabPLw8bCWv8NNQvzDkqZ/ctg5bN8trGYy1/6jsqGVg6Gxj2yDi62Z/TepaQ9LBZjzTyoSuauT7vn8uCCfNbmV7P9QD2bvFq952gpZdyt8OR4eG6mEDPVQspUBfk3MW0rqaO5zUNVo3zWAVLm6KFXM5/nn3+esDA5CN1uNy+//DJxcXIS8M2bCSCAYwZ9Z8P5r8FbF8OW92HIWYbEL2BfFsD3jvBkCXx2t4g6pbeTf3swXhQsqLQ2m0WqhTvK+HJrKd/uquCskamEOm3c+9EWXl6WRyQNPB/8KDavNmmp1/Nk2i3oQ2LEhqyp0iRlItNwW4OxeZrJVEqxK1pHRl0RrJZOY4ZfJO9lzzcQFNW794Ms5l+6Yixv/nsQeFawzj6Kkbma32sPSBmAiCA7LS7/SdnWkroOYYbt0Vq8GSewU03jrPQoSoPioBVqygtJt4iUul4NJlxppnnF8wRPu434BpE/e1LHkNRXslRiqKWlroKgCH/lU0ltM/d+tIXzxqRzXO5hFky0BZlqdaJU72N6xe94TrmbP5wyiDNGphIT2knHcGMFfPF7w1bIsEkxuo++kz/oPSkDkgkQQAABAOCNzoZSmGbZSI7WkUf29EPal91qoU98GNsP1JMXMZoBJau4330hfbL7cMbIVG59cx3XTBM7zDGZ0SzeWW6EgWdaStlYWMP6ghreXSMFnoU7yrg8LrvL59OxtbiO2mYXVotCVmy7BXmtpm45/s+mBSJIWLsjVDr33S3wGYy07OWC4THEVK6BoloYcBLUFuKo3QeKBct5L4typblKGmXyFgPgVFxEV20iuEnI75XqIFQVHvpyJ89dOqZnH97AuUIUpY0VkjQhF068n7z8/Zy2diR1daGMSLmKPTVV1KtOnhyR0rP9BhDA0YCiQNZk49/M2FB+dXx/4sOd2KwWbFaoD0kHN6RRRqQ9Fjx0VMr8oKSMlCOSo4IDBGcAPwqk+hQfdQVLl4hMg6u+6H6bHmBsdgyRwXYqG9tYnVfF+Bxp9NpTLs1TfeI7L3KnRgWzWZVt1ZoCFIBPf2PmPgKseBqyp4HHRXSbzC8scX2kiJ7W7tw4/gZY8RTkLxe1TdFqOTcnDhW17sSbZK0XFAWvnyPri49ulsfG9IEZd0Hu3F5lhAbw08Kg5AgW7ihnQFI7otDps27uZeNomNN0TWivlPFFRqy/JV6Y00ZDq5vv9lX52fpVRg0mFqB8u1htO8OlQfKN86G1jg1hlSysGMZ7awq5bnqfbl+bvUjs1ksjR3BEZnz9jof14qLhDo7jjZZZtG4oJr9KlOabvDI/V4vXcVTOiAc2ma4n5TsMpUyJxV8xu62k3lCshzltRAQFmiaOFnqslMnIyOC5557jX//6F//6179ISkri1VdfNf5//vnnycjIOPiOAgjgp4b+c2DC9XJ9/n3SFWILNrzdAwjge4PFYhINWuBzr6AotCoySXY1mUS6rpZodnn4amsp6wtqeHlZHooCbyW+TopaClGZcNknppolbaz/vkM0QqGpQkIeAcIScNtlwtbf0s7nWLfDypoM0++E4BgYcGLv3xOQHBnMqVfdzWtxt+E981nzDv2zajjQwVPZF7qFGUCIFji7tfjgndXNhZIVUxHSl5hQB54QUQ5Z6opIRqzQXrOLv7R11bNQtBqH2kaNGkpM+kBio2M4IFNGDuzZxAfripjxwAK+2yeqmr/N284XW0q58fW1bCmubf/0PUdjhaHq+WbcM7SqdiZbt/D8LJUrp2R3TsioKrx7uVjNqV4pVB7/J7kveQSc8hDED5T/QxMCIdUBBHCYCE4SZWFfSzEWVDnmfMmLXmK2RuTeVXkKl4U/z+ue2YzKjGZIaiTf/GYGF46TOfuYLBnT92mkTF9rKV4Vbn97vbGvLT0YDwGeWSwKn5OHJhPsE95NS5107gJEtbMTUxQYeApEJMuYHZmODTf/SF+B8spp8OYFcGAz7F0k26eMEutOvai86R2/4lN20zpSa1YDEJk7C4sCX20tZXdZD5vHrDbU4//MmtBp3PfxVv49fxcF/S/lwj2zqUOKYuuLG6n3OhmWFklOfC8VqwEEcJRx63H9jOMb4MLZE3ApdhyKh1iP5r0fk23O54IiJSD5B0KEppTprhAXQADfJ1Kigo0cpQ6WvkcJdquF47TstC98LMz2lIn6tE8XjWJJkUEUI2uw1sr9sG8xbHoHVbFyh+taANQd86SptCYfK16aVQchsamdv5CIZBh2vlx/7SxY9E+5PvYqOV9b7WJ3aA+SxtV4TeE9+Ey4diEMOzdAyBzjuHZaDn8+YwjXTG2Xdau7ZkDvlTJawV9RID68a2VaYngQDs0yzW5VjNewcp+ZB1tQ1cTUJ7ZSYU0AVCheh8vjxbPkESPHVs9ZXKmtuTvA64Vv/gKL/klq9QoAWlPGdr5tb9FnJljk/dqm3MpxQ7NQVYw8xy1qFl5VQakrgoaybnZ0iCj2sUUr/M5QyuR5ZfyxaVlP20rqKK7R82SCAk0TRxE9JmXy8vLYt2/fQf8CCOCYxJgr5VJnlWP7SoE8gAC+b+gWZiFx3W/XBVqt0mHiavYhZXyKVf9bV8RLS2UsvzG3hdzaRSJRP/81yJ4KV34BM34Poy/337GeK9NQBo3aBCIsCY9Tcgr6KUUdX0xQFCQMhowJ8Nu9HffZC/RLieOSm//E6EE+CrbgaJHQg3/HWDv4kjLnjhaydVvJwYuQjiqx47EmDwbAolkLDVX2YlVUXIqDdakXUaTG4mguh3l3ALDO25fMuDAURaHULgXKmoItPLVwD3mVTdz+9nrW7K/i4w0SoNnq9nL9a2uoaepZDpAB3Ss2bwkAbTEDuXlJMB96JPj6uJr/dv3YNS9L95stGK76Gi54HcI032xFgbFXw40r4IZlcO2CQFB1AAEcJuIz2lnXTfvNYe3vsklZOGwW1hbWs6hcxn3fLkIdY7NiOH1ECidOFZ/sWLWaeKr9LBx7QsoUVDXxyUbpwL1uWo5YJq7T8rR0S5WgKH97i/ZQFMjSrMm+vleaYADWvwH7NFImR1MPZWiKyJXP+u1iinslmW5RNPcZO4dZWpHrvTWdnIM6QW2zi1P+vYSzn1rGi0v38fBXO5n2wAJKalvIjA3hlSvHGQWB00d0UdQKIIAfES6ekI09tl3xLDRBOvxBcpN+QOhKmaRuLGsCCOD7RJDdypMXjeKpi0cZGRbfB04cIsfiW6vyKdC65vcaSpnOSRm71UJTkORqeqrzYcdnAOxIPIV3PTNY4BmOgirnSq0jfr+aSFx39l4zfieNV20NkhXqjBBVa3sER8E18+Gab+Ccl8TiOIBjHlEhDn4xIZOokHZNfUfAviw+zInd2nWNzWJRSIvR8gf7xBl5T6vzqnFruTJLdlfQ1OZhZZvUTNTCNVzzxCe4lj1l7GeCsoU+ShGr9lV1niObtxgWPwAL/kpW224AgnIm9eo9dYmgSE1RdhqMvZpfndAfjQdheHoU0dEx7FW1rNyjYWFWtNa8nrfEmKPvaJPa0tgssWjbdqDOUO8ErMuOLgJV5QAC6Alickyfceh5oHUAARxpxGikTOihkTIuq5xU3S0mEbOr1Ly+ZHcFn2qFtavsX8qNuadCslhtET8AZtzZceKtkzIVO0VZgQKh8cYErZ+iFeUypxjdIWROMsnNo9F9oSgQrQU9dmNhppMysaEOTh8pRbatByNlGsoIcVXjVRXicyRjxR4pi6kRFpm8NQSnkJ0Uw1Pu0+QxpZsBWOftR6Ymv64Pl0JJ1f7NRJV9x3P2B/HUFHLJ82ILdtzABNJjgimoEiuzHmPbx/D3dNTVL1G+STxrP2vsR7PLw5pkrQNu64dQ20mhsrYQvvyDXD/uD5DeRWeQokDiYLOwE0AAARwysrL70arK2JgfO7WjRWQvER/u5JzR5rGZGhXcqU+33Wrh0QtGctPJYwwF5OnWZQAkaN2Ku8rqaXN7OzzWQHMNIc+M5RHro0zpG8eQ5DBR2n14k1gj6OHD7VUynSF7qnndpr3eTe+YShnd0i19gly2igJH7S+BxUMteVhQ2eVNJTMzx/gM/reusPOFdzss2lnO1pI6nDYLZ4xIYWBSuJGRfP/Zw5jeP54XLh/DlZOzuWhcwCEggJ8IYnxIGXuI2MxEasdj+A9nXQaSOwUwMqP3uYIBBHC0MHtQIicNTf5+nzM3kbFZ0TS1efj9/zaxOq+K/VpRtDtLZa/m3mGtKxQ7aGCBV9YmL3rk3Mi6Vw3L4f1qIrGh3TRTRaZJ49Xl82DCjXDWc/7WVL5whIqtcaCLPgA/UqZ3KmJ9LZ7cg+J/bpKcM04ZmkRucgThQWJhpq/d1+VLhu16r9iSte74inPKnyCINuriR1KeKjW9X1i/4hT3lzS+cr4ZT6CjUpTfbq2ZdZs3g9ScIb16T91i2m/g/FfBIfmOv5gg9Yrrp+WQHRfKJlWr95SsP3LPqaPYh5TZ8ZnUbewh7GyU96oTXfsrm3jiG6lpDE4JEK5HEz0mZU4++WRqa037lL/+9a/U1NQY/1dWVjJo0KHbLAQQwI8eY682r8f1/+FeRwA/bww4WQiQfnMO6eH65MKrkTIujxlqnxoVjMer4vaqHJdhIWb3/+RBE248+I714Lv1r8tlTI6ElwdpShmLVvxPGGgW1bKnHdJ76BW6y5XJXwGf3E680w1IOOTApHAUBcrrWymrb+lyt2qpECT71QSGZsmiLTRWnGYjFJH6toWnMyAxnHc906mymHZzecG5hDik+KrGirLHUr6NB+1Pc7x1LRfYFtDs8mC1KNx9Si4PniMLq/nby/D2oKgISJe6qxHvvDtQt4lEe159XyKD7dx2yVnSja56YNVzHR/71R+hrV4KtOOv79nzBRBAAIeF5OhQNir9aVOtlI++7Yjs85qpOUadZFQnKpkOGHERAOda/5+9+w6PqkofOP6dSe8hgUBC770IilgBC6Jg3V0RK/Zd27rquj91XV13xYZl1bULYoVFRRCUIkV6NfQSSAjpvZfp9/fHudNSJ5AGvJ/nyZMpd2ZOJjP3nnve875nHaDxl8sHEBUSgNWukZRbf/mvysOriTVnMMW4lQfOj1PrvOglIsjZ685UjPIhiNHrInBW0b7pKzWjvzJflaH0D4bueoZM97FeDzOMvZcS3AMCewOGExLoxyWDOtMhNIDcMjPrj+Q3+vK700sAmHZOd9666Sx+euQiZs84my/uHss4vcb/Rf078Y+rh3iXaBOiPfMMyjizXttJpszNY3uw+alLmD7Wh6CtEKcxo9HAK78bQZC/kfVHCvjDh5uxOzTG9OzgmiRRF/8YdWwNNhdA/iE0DMzLV4O66x3DOWDoC5YKtA1vApCqdSY2vI7SxZ6c61VNfumEy0uLM8xJZMpc2L8TN4zuyiOXND7x+dmpQ3h7+ln8YUx3/IwGxuqZHc7y384yYLv1oExwxkam+qkSZGu7/oltHa8HYIb/Cl4O+ITI48vhl396vUZVngrSfGG+iNGmD3gw+GU6NvAdPFnPXT2Ujf93CVcOj6dvp3D26OvKkLym9sZbP4RtdZy/+8JcriZLOVlUJh4depNdqtbXHZoQ5drfZOlZ4n+aIBPSW5LPQZnly5djNrsXQn7llVcoKnLX4LPZbBw+fLiuhwpxeug/yT2g4FxLQYjW1vsi+Guyqtl7Auz+qpOk6Qfh44WVWO0aYYF+3H2heyHnv3XaAnazmq3tHARriDNzx7luwCXPAOAXomZWxBv040VEPFz9Fkx60V0WsCXVF5TRNPjhAdgxm+uCduBnNHDtqARCA/3p3VG9Rwez6x+ELD2+G4Akerhmj0R29M4YMUT3ZFT3aMwE8l/LFNft5bEjXZdDE1TJognGXXQ3qgHDS2LUe3Xj2d3p0ymcMT07EBxgpNxk41hhJT6pVM/l57ASZyjBgYFuZ13ON/eOIz4qBMb9SW23Y7a7tBComUL79WDclDfAKIOOQrQGg8HA4fEf8HyPzxh6zsRmec7eHcOYOkIFiy/q70N25dAbwC+IgcZ0Hh5UxfVndWVIvNq/NbTOVs7+dQAYDRrnhWRA9m73nfmHmpYpE90d/vAZ3PS1ylAecaP7vu7nute+CI1x98WMAdDjPA4FDXdtmtVBZf0E+htdZca++612ZmBRpYWXfj7oKhXjDMqM7Batntpo4JJBnbmof6fG2y5EexXj7t8Rpgdl+kxU3x1nScA2YjAYiI8KkXr1QgB9OoXzl8vV5E9Ng6tHJvD5XWMb/H5Ex3ahWnMHWcxxIzleHUyQv5HwoACeN6kJFwa7KoOcYYgnPEgW7RbNzBWUMbgznX0UHuTPGzeO4tLBjWdudokK5pqRCRj1ml/OCTOrD+VRWm3lSJ4a49it9aUgsBtWQyAb7EN51PIAyyr7sc42lGMO9Tqu782hJVCe43qNsuwjAOT5dWH6xLP48oFLWvQYZTQa6KpnCfXpFMbP9rHYMULaJsg76N6w+Dj8/KQqiW4qrefZdA6HmqRp8Rg7yN4NaGpt7Fh3oEWL6UVWqXv9mMF639/PaOCtaaNkf9HCfA7KaJrW4HUhTntGPzVQMP5vqpyTEG3lJDoFjgA9KGNWB+ikXNVx6RcXzjWjEogJC2R4lxD6p81XDzj3T769Xqg7E4TeF6vBPcAvtMbs7MgEiO4B5z/UOuuQ1BeUSd8GRSo1eVwnCwdeuIJJ+mKevgxClulBmaKwfgQHqMBFWKx3mYOguD706RTO0IRIvrRdwgbj2cy2TSauk7vD2an3iFrPPTwwmzkzzuH5a1T2qb+fkeFdVcbRLn32T6MqvWeEW2KH8OwfLnCVCWHAZIgfqTp0/7sdbPqki03vqjTmfpe7S9YJIVrFrRNHMvPua1z7lObw2u9H8MXdY/n9aB/KDIZEwyAVQH48bgfBAX4M7xLKfX4/cvavd7jq0dfkn7HdddmQvat2UKZED8pE+TgTfuh1rnY4s3eA2oPHzgkD3c6GwFDSI9wl38xd3bW/f6f/7cv351BaZfV6iteWH+bDX1OY+dNBrHYH+7LUSe6oHtG+tVWIU0FdmTKDroKnM+GsW9umTUKIOt1zYW/+78pBvDVtFG/fNIqwRgZEu8aEkqm5J16kRKhJCSO7R3Pp4Di2aYM51GGC6/6S4G4SBBXNL0g/xwwMb9Vyds61mLakFLL6UK7rdjOBzAh/n2kxC7jV+gw/OC5kd3opSflVPGR9hI3xd3CZ+TUSGQgOG/z2ueux/vpkosiEfvz1ikGtuqZK745h5BDLJn89I3z7p+47U9frFzQoy2r4iba8B1/eAP+7A1cdXud6MgmjvCbdmsN7YrKqMsVdooKZOFBNRHryioFSWrQVyJoyQjRFtzEw8WnwC2h8WyHaIU1PJzZYnEEZlQ3Sv3MEHcOD+PWvE/hufD6G8mwI7wxDr/fticP0WcTGALjqdVdnzD8kynu7iNatz+wKymTvgoV/gp+eBLvVXWYNoLKAIH/3IKgzcOEcnKvFbiUkV+/UdHYvzm0I957dE95ZpU1ff1ZXzARya9VjvGC7nV4d3SndCd16UaGpjl41alaRoSiZif2iCSo8BK/1h83/dc3a3p1R4tvfXZEHwOvW35Nr6EjQ+fd732/0gxs/VwtvZ+6EHx9V9XOd78sFf/btdYQQ7VpwgB8X9e/kmlHYqFG3qN+758HSJ3gg+V6eDviGPhU7YedntTbXrCbiqw+5b8j8zbsGdl4TM2Vq6jxUX4ssAAZO8b5v9B1qtt+5av+WHTcekxbAZvsQunZ1B6GGdY1kUJcILDYHn29Odd1ustpZslud1K49nM+ejFJMVgcRwf70jm1a6Q0h2rW6gjLQOpNjhBBN4u9n5I/j+3LdWV19Cp50jQ4hS3NPjvvVrta+OLtnB67UB6z/UXkjDmMAds1AeXjvOp9HiJPSoRf4Bbb62svdY0IZ2T0ahwazlicBMFqfWHM4t4K9OVWubTNLqtmfVcZ+rTfRV/+L4sAuzLGoNWaK13/IwUxVrSK0SlWR8I9t/e9Kn05qPZ5PTJeoG3bPA7NeZix1g3vDsjrWhXWymWHTO+ry0ZVqrVlwryfTdbRrHUmAomCVUd4xPJAgfz/uOL8XO/9+GfeP73vSf49onM9BGYPBUOugIBF2IYQ4xehBGaNVHdyP6JkygzsGgKYREeRP4PYP1Lbn3Av+jdQcduozAYZcB9e8DZ3cay4ZgmssDBfZ9WRa33TOoEx5Nuz+GrZ9qNJ+nSW6oFZWyTl6bdq1h/KoNNu8n0/TYMmjdDKlUqkFEdbPY12cgBAqDe6BPL8Y9dpXj0zwmjDUKzbUddnf34/j/mpxv9297lazjBw2lcWzex5U5sHqf3NOnJq9sksvrdOoygIAfnScxydn/4hhzB21t+nQC373KWBQ7807o8FmgoTR0OtC315HCHF66TtRlWo1l8L2j4kuPYRNU6cLWkrt2tZZh7YSiMd+MnMnZO9xXy9KcS2Y6nOmTE03z4NHflNrknnqNgYe2++aPBAQ14+J5je41/qY16LIBoOBP01QJ5afbjxGhb5fX74/h3L9crXVzn/XqAVNR3WP9j2IJcSpIKo7GPXZ9mFxDW8rhDildOsQQoYzUyYglB/y1bnW2b06MH5AHEH+RraVRfNlv7f4k/VRDJEJbdhacdoK6wgP/wa3L271l756hJr0mVmiSnBNHZHgWhPRatfoGB5In07qHN1ic+BnNNA/LoIxPTuwzDGWAi2SDrYCNv/0JZhKCbWrahlhnVs/KBEfGUxwgJF1tiFYo/qodV73/k+NQRxb796wLLv+J9nzP7UWo9Oyp1QZs6xEdT1htFemTI5R7RPio9REUYPBQGy4TNpoLU0qXzZjxgxuuOEGbrjhBkwmE3/84x9d1++6qxXWBhBCCHFSDIFqoMrPpmaNJOWWM8pwlNs3TYJPJ8Hhn9QsCr8gOPtO3584IARunOtdagYguEamTGQrZ8rE9IGRN6uOx2g9MLFjtnsRanBllTid3bMDvTuGUWmxs2RPjdTg9bMg8UvsmoGHrI8wavBAr7vL/WPcVzqoYEvnyGAu6OsuK+CZKQOQdd4/mR95J/2u+z/opD9f3kFI26wuW6s4L/cbAA5ml2Gy2hv+m63VqgMHFGpRrrJsdep/GfzuE+jo8Xdc9Firpp0LIdoRox/cuRSmvgUX/gXHhU9wg+MlAAzZu10BX6esvb8CcDBQX8+l5Lja//gHQ1AUaHao1tcUi+5xYm0KivDpsV2igsgmlgpCvYIyoE7Q+3QMo6TKyhebjwPuNWbCAlWm5OpD6ljgzEwU4rTh5+/+DoVLUEaI00lCdAgZmvpeVyWcx+FCtXbM6B4dCAn04/y+KovmP8mdWeE4RwZbRcuJ7g41J2S2gikjvMcXRvfswLCu7naM6t7Bq2/XKzaUQH8j917Uh/4JsWwImwRAv/yVat0WoECLpEunWFqb0WigV2wYGkZS+0xTN25+T01wKnOvA2sryaj7CRwO2PgfdXniM2qiVVkG2jtnu8u5J5yl1mWMiAe/QJINKrs8PqppawGJ5uFzUOaOO+4gLi6OqKgooqKiuPXWW0lISHBdj4uL4/bbb2/JtgohhDhJxmC1CJ+frQqr3UF+QT7/CXiXAGs5ZGyDeXpQZcQf1IyXk+UZlAmM8FgEsJUYDHD9+3D3CpXFc9Hj7vu66bVaawwyGgwGpp2jZnR/sy3dfYepDNa+AsA/bHdi7XM5PTyyXgDMQarzVmUMgxB3DdZrR7lnpfWs8ZjLL5vMtMfeomN0pDsok5Xons0CROz9jD6hZqx2jYPZ9a91o/4elflj1gIIDI1idGO1YIf/Hh7cCvesglu+lTWzhDjTRfdQQfnLnsd42bMYuwznoEMN6BbtW+m1qUFfT6ak63iI8ZhR2HmYd2aLf4j32mMtoHOkOpnsGB5IdKh3lqef0cADE1VJjY/Xp/DLgVw2HFH7yr9PHeK17cju0S3aTiHaRPdx6ncXWS9OiNNJaKA/PwVN5nPb5XwaqiZK948Ldx0HJw5SAZvCShWsiQ33sQqCEKeI+KgQxuqVLgL9jQyJj2RYV/cYxFk9ohnRzX29f5waj7h4QCeWPnIRZ1/6e3W7eT9asVo/MV2Lo1sH73P21tJXL2G2KfJKVWq88AgsedRrm+rCeoIyST+r7YOi4Nw/wpRZABjK1UTT3Vo/tOAoMBpVVtOdP5NsUgGs1lw7R7g1vGqYhzlz5rRkO4QQQrQCv2B1kA+wV5FaUMmzfp/R05iHFtUNg8FPzXIGOPdPzfOCQR6zZVo7S6YuE5+BgiOQvlUFaL6ZVqt8GaiFoWctP8yu9BIO5ZQxqEukquPqsJJGF76yX8YH42rP3A6JSYCKXVgiuuPZjbtyeDyfbjhGr9gwQgMbOPR20teo2TNflTGLSIDQWAy5e3k0ahWPVF3FrvSSBhfdy8g4TjeggEguH9oFP1/K8BgMarFsIYSo4fdjurF+yXAGG9NYtXQeHaMuZeKgOKw2O90r94IB4oaMh7RcVXoRIH6k2oelb1XXo7u3eAbeOb1iuOGsrozrU3fw59pRCby96ghpRVXc8/kOAMb2iuH3Y7rx8s+HKK22AjCye1SdjxfilHb1f2DC/7myeIUQp4/wDp34R+adoM/n+v0Y97pqEwfGAftd1zuGSaaMOP1cPTKebalFjOwWRaC/kWEJ3kEZz/Vj+3f2zqbuNPh8bIuNxBsKKTn0K9FAutaJS9soSOEstXao2AAX/gV+eQ5SVemybC2GeENR/ZkyR1ao32fdorKWBlwBD25n4cY9fLk1jYNaT1aVmVSpMr3kfPYGteOQTJm24XOmjBBCiFNfQIiaGRLoqKJg3yp+57ceO0YMN3wMd6+EAVfC+Q9Dl2HN84KemTIR7SAo41zg/vHDkDBK3VZVAA7vkmCdIoK4bHBnAOY5s2X09RTW2obTOdJ9v6e4eBWoiY73XuQwPMifZY9ezAe3jWm4fc6Z5RW56nfP8+Bild0z3qxef7fHujJphVUczil3Xd+bUcor36lFAMv9OvDIpf0bfj0hhGjEreN6Mn7yHwA437CXmUsP4HBoJO7bR2dDMVb86D3iAlUOwSl+pCqN4HSi68k0QYCfkTemjeLGc+p+rQA/I5/ecTZXDe9CTJiaKXz3Rb0J8DNy6WA1k7hrdAhxEXJSKk5D/oESkBHiNNXVY/C4X1w4d17gXqC8e4x3SU/JlBGno+lje/DMVYP593WqnK4zM8bPaGBEt2iGJkTir09UrFniNig0imQ/9Z0JOqTWnS3w70JYkM85DM1qqB5QWpdUgOOceyHcXYp8kf0CwJ35UouzRFmX4e7bOg1gVVUfdmoDqSKYlPxKQI0j/HfNUTYnFwIQL5kybaJtPmVCCCHaRGCoylwJclRjTdsJwL7IixnZ83y1wc3zmvcFPevKtpeFJZ2ztZ2ldDQHVBfXKtd209juLNufwzfb0phxfi96Jq/BAGxwDOPmsT3x96tjXkNXPejSY9yJta1TjYWse5wH/S4Dg5EoUyZxFPPLQX9eWXaI3FITP+zKxGAwsOCP5zGyWzRPLNjNSEshBECfXr0JlM6VEKIZDBx7BdqaILraC3EUJLHq0GCyV3zKWCA3dADdgsLUwqFOCaOgqtB9PbrlgzK+6N85gvduGYPDoVFltROun3DfeHZ3fkjMZNLQ2sF2IYQQoj3rGu3Oz3/h2qEE+nufo1wyKI6jeRUAsqaMOC35+xm59+I+rus9Y8P413XDiAz2d/X1JgzsxKbkQs7pFVPr8WlhIxhYnkyIRa2DWBnWdv3WCQM7ERHkT2ZJNdszTZw7/q+w9HEs+POTfSx/9P+RoKrcOh9rKThGIJBl7ILnyMuBLHf585T8Cs7vG8u0jzaTXWoCVPBqaELrrwckJFNGCCHOKAGhKlMmFBOWojQAtA69G3rIyQlqh0EZJ78ACNE7ZXWUMBs/oBMX9IvFbHPw6v9+wVB4BJtmZIdxODeNraejNuJG+Mt+OO+hE2tTZFfv96zHeWodns5DAbgi8hgVZhvvr03m+8RMHBrYHRr/XnKAxbszOZxbTrcAlTkTGCmDi0KIZhIYikEPNl9l3MoLCzZxbeUCACLH6/u7+JEQFqfKLnYa7C7HCK2SKdMURqPBdZIOMK5PLFufvoynrxrcwKOEEEKI9mdUj2gAbjirK+f3rb0m6ISBnVyXY8MkU0acGW4b15NrR3V1XX/35tFs/r9L61w7pTxutNd1R1TtMuWtJTjAj8nDVHbMD7uyYPQdmMbcz7PWO0nV1Pl9iK0UrNXeD7Tb8CtTZc1m73e4bq402zhWWOm6npxfSVpRFdmlJgL9jPzzmqGsemy8ay0b0bokKCOEEGeQoBA14B+GGaOe9hraqQXLWbS38mU1heknKRV5te4yGAy8fMMIQgL8CM9UdVx3a3157vfjXAtK1ymq24mvnWAwQKeB6nJwFMTpC1DrC/Q+P6qC928ZzRVDO3P1yARm3zGa0AADv6WV8MzCfQCM76q/dninms8uhBAnbtjvAPiz//f82/YGUYYqCkP7EnnOdHV/YCjcvw7uW6tKJUV0cR8D2llQpi6dIoIIqCsDUgghhGjHpg6P56dHLuK1P4ys8/5zesUQFxFEaKAf3dto8XIh2lpwgB9RoQF13mfseZ7Xdb/YFpy06oPrz1LBpJ/2ZmPWjGwZ8ATz7RMpI4xqTQ+slmd7P6gsAz/smLUAfs1yr6FzKKcMTXNvlpxfwe6MUgAGx0dwx/m96NUxrEX/HlE/OfMQQogziDFIzYAIo5qODpUdEpvQp6GHnJzAcEAPErS3TBlwB2Uq80HTIPcA2G2uu7vHhPK3yQO52LgXAHvviV4zblqEs4RZ93Fg1A/T+gx1v4ytXDk8ng9vO5t3bhrFJTseZFvIw8RSSpXFTsfwQIZGmb3/NiGEaA6jb4eRN+NvcDDebw8AEVc9r9bqcoqMhwg9S89ggD4TwOgP3c5u9eYKIYQQZwKj0cCQhEj8jHVPCgvwM/Ldn87nhwcvqHdQWogzWUL3vmRoKsvMphmJjOvVpu05t08snSODKK22svZwPnv0IEpMWBDZml7po6zGujL6ejJpWhxH8qsorbICsF8vXdZB/+6n5FeyN6MEgBHdolv07xCNk6CMEEKcSfSgTKjBRIJB1fuPie/Vcq9nNLpnSrfHoIwzm6SyAPZ+C++fB+te9drk9nE9uDToIADnXHJDy7dp5HSI7AZj73Xf1v1c9Tt7D1j09OOM7ZC8inBLATPCNgHw4MR++FcXqPvD4lq+rUKIM4fBAFf/B0uPCwGo7DiCwKFXN/yY382Gx5Mgtm8rNFAIIYQQdekeE8qAzhFt3Qwh2qU+ncLY4RgAQJYWS9fYtv2u+BkNromgn64/xvZUtdbN5YM7k+sKynhnymhFqYAKygD8ll4MwP5MFZS5ariqWpJZUs22Y+r5RnSLQrQtCcoIIcSZJFClpkZRSUeDOkAbWrqszPgnVaChy4iWfZ0T4cqUyYPk1erygUVemxjTN6u6rUFRGFpjtnevC+Cx/dD/cvdt0d3VejOaHTJ3qtu2f+K6+76Izfz72qHcfl4vqNDXxwmrXVNaCCFOin8ggbfMgytmEnbLF42XavTzh7DY1mmbEEIIIYQQTRQbFshev2EApGgJdGsHZf6mndOdQH8j21KLWH9ETbqcPKwL2aigjLU4w2v76rxkwB2USTyuB2WyVZbNhf06Eq1nyzjLl43sHt2yf4RolARlhBDiTBKoMmUCDXYALIYgCOnQsq953oNw/QfeJW7aC8/yZXn71eX8Q95rzOz5n/o95Grwa8OUf2e2TNpWldmzf6G6bvQnqOQot3bLU2ULKvW2h0umjBCiBQRFqP16h15t3RIhhBBCCCFOisFgYHenqbxqncZM28107RDS1k2ib6dwvrrnXCKD/QEwGmBcn1iKjGqyU1VBmtf25vwUANL1oMzOtGKsdgdJORUADE2Iom+ncNf2oYF+XtdF25CgjBBCnEkCvRdxqwqJP/FF6U8HzqBMeQ7kHXLfnrpe/baZ4cAP6vLwG1u1abX00BcgPLICNr0NdgsknOVuV+IXaj2cKpWOLGvKCCGEEEIIIYQQDevZKZr37NeSH9KH8CD/tm4OAOf0iuG7P53P4PhIbhrbg5BAP6pD1NqN1pJMWPo4zBoAxccx6GvKFASoMmW70ko4kFWGxe4gItif7jEh9OnoHgsalhBV7zpUovW0j0+aEEKI1uEfjB0jfjgAcES0w3VeWpMzcJG+Dexm9+2pG2DY71QAxFQKEfHQ68K2aaNTTz0ok7FN/QCccw/E9IHdX8O+7+HCvwAaYIBQKRkkhBBCCCGEEEI0pG+cCli0h9Jlnvp3juDnP1/kum4P6wImiMjdBunL1Y2JXxBckQ5A556DCDvmR6XFzgNf/QbA2T07YDAY6OORGSPrybQPkikjhBBnEoMBs9Gdjhsc26MNG9MOOIMyphL126CXWDumZ8o4S5cN/33bl1/rPAwmvQjdxqp2dugFQ29QGTQxfcBSAdv0dWZCY9u+vUIIIYQQQgghRDt3Yb+O+BsNXNCvfa/LaozqCkCQpdh9Y+JXBNvUOjFhnfswqkc0AJkl1cSGBfLPa9R6OX07uTNlRsh6Mu2CZMoIIcQZxmoMBUclACEdz/CgTHiNEl+Dp8KBxVB4BDJ3QpI++6StS5eBKjN3/kPqx1IFRn/wD1T3nXUrrHoBdn6mrst6MkIIIYQQQgghRKNGdItmz/OTCA1s38PkwTHdIUW/YvRXkzXLswDI16KIi41ljH81G48WEhxg5NMZ59AjVmX/eGbKjJRMmXahfX/ahBBCNDurXwjY1GVDVLe2bUxbq7nuSs8LoTgVsnfD7CtVSbMuI6DL8DZpXr0Ca6RVj5wOq/8NVhVsk/VkhBBCCCGEEEII37T3gAxAdFwCNs2Iv8EBo++AqgI4sAiANC2Orh1CuHRwHCkFlUwf24NRHhkxvTuGcUG/WIL8/egR077KtJ2p2v8nTgghRLOyB4SDc/kUPf31jBUYDv4hYKtW1zsPgV4XqaCM3Qyx/WDaFypLpT2LTIB+l6k1cECCMkIIIYQQQgghxGmkc3Q4ax0jGeGfTtzFf4X0rV5BmREdQugcGcy7N4+u9Vg/o4Gv7hnX2k0WDZA1ZYQQ4gzTITrafSWqe5u1o10wGLwDGHFDYMi16nL3c+GuFWrtllPBWbe6L0v5MiGEEEIIIYQQ4rSREBXMPda/Mll7GyLjof8ktAC1VkyaFkfX6JBGnkG0JxKUEUKIM0xgaKT7SuQZnikDEKYv5hfZFUJjoPtYeOIo3LkMwmLbtm1NMeBKCNXbG9a+FygUQgghhBBCCCGE7+L1oEuRCSrNNggMpaj/7wFIChxGcIBfWzZPNJEEZYQQ4kwTqGZSEBwFQeENb3smcGaVxA3xuK0TGE+xQ6R/IFz0BASEQt9L2ro1QgghhBBCCCGEaCbhQf5EBquVSDKKVQn2HYP+ygTz62TEnteWTRMn4BQbcRJCCHHSAvVATGS3tm1HexHeWf3uMqxt29EcznsAns6ChLPauiVCCCGEEEIIIYRoRv07RwBwKKcMgPRSK6laPN2kdNkpR4IyQghxpnEGZaKkdBkA4/4Eo++Ac+5p65Y0D4OhrVsghBBCCCGEEEKIZjYkXpWjP5CtgjKZJSpjpmsHCcqcavzbugFCCCFaWWiM+t2hd9u2o72IGwzXvN3WrRBCCCGEEEIIIYSo15AEPSiTpYIyxwoqAegmQZlTzimRKZOamsrdd99N7969CQkJoW/fvjz33HNYLBav7dLS0rj66qsJCwujY8eOPPLII7W22bt3L+PHjyckJISuXbvywgsvoGlaa/45QgjRtsbMgInPwAWPtHVLhBBCCCGEEEIIIYQPXJkyWWXY7A52pBYDcFb3Dm3ZLHECTolMmUOHDuFwOPjwww/p168f+/bt495776WyspJZs2YBYLfbmTJlCp06dWLDhg0UFhZyxx13oGka77zzDgBlZWVcfvnlTJw4ke3bt5OUlMSMGTMICwvj8ccfb8s/UQghWk9YRxj/ZFu3QgghhBBCCCGEEEL4aGCXCIwGKKy0sPpQHhVmG5HB/q4MGnHqMGinaJrIa6+9xvvvv09KSgoAP//8M1OnTiU9PZ2EhAQA5s2bx4wZM8jLyyMyMpL333+fp556itzcXIKCggB4+eWXeeedd8jIyMDgYx3+srIyoqKiKC0tJTJSPvRCCCGEEEIIIYQQQgghWtblb/zKkbwKzu0dw9ZjRVw2uDOf3HF2WzdL6HyNG5wS5cvqUlpaSkxMjOv65s2bGTZsmCsgA3DFFVdgNpvZuXOna5vx48e7AjLObbKyskhNTa33tcxmM2VlZV4/QgghhBBCCCGEEEIIIURrcWbFbD1WBMB5fWPbsjniBJ2SQZnk5GTeeecd/vjHP7puy8nJoXPnzl7bdejQgcDAQHJycurdxnnduU1dXnrpJaKiolw/3bt3b64/RQghhBBCCCGEEEIIIYRo1OB47+yL8/pIUOZU1KZBmeeffx6DwdDgz44dO7wek5WVxeTJk/nDH/7APffc43VfXeXHNE3zur3mNs7qbQ2VLnvqqacoLS11/aSnpzf5bxVCCCGEEEIIIYQQQgghTtQQj6BMh9AABnWJaMPWiBPl35Yv/tBDD3HTTTc1uE2vXr1cl7Oyspg4cSLnnXceH330kdd2Xbp0YevWrV63FRcXY7VaXdkwXbp0qZURk5eXB1Arg8ZTUFCQV8kzIYQQQgghhBBCCCGEEKI1eWbKnNs7FqPRtzXSRfvSpkGZjh070rFjR5+2zczMZOLEiYwZM4Y5c+ZgNHon+Zx33nm8+OKLZGdnEx8fD8CKFSsICgpizJgxrm2efvppLBYLgYGBrm0SEhK8gj9CCCGEEEIIIYQQQgghRHvSKSKIuIgg8srNsp7MKeyUWFMmKyuLCRMm0L17d2bNmkV+fj45OTleWS+TJk1iyJAh3HbbbSQmJrJq1SqeeOIJ7r33XiIjVQTx5ptvJigoiBkzZrBv3z4WLlzIzJkzeeyxxxosXyaEEEIIIYQQQgghhBBCtLU7L+jNsK6RTBkR39ZNESfIoDkXVWnHPvvsM+6888467/NsflpaGg888ACrV68mJCSEm2++mVmzZnmVHtu7dy8PPvgg27Zto0OHDvzxj3/kH//4R5OCMmVlZURFRVFaWuoK+AghhBBCCCGEEEIIIYQQ4szka9zglAjKtDcSlBFCCCGEEEIIIYQQQgghhJOvcYNTonyZEEIIIYQQQgghhBBCCCHEqU6CMkIIIYQQQgghhBBCCCGEEK3Av60bcCpyVnwrKytr45YIIYQQQgghhBBCCCGEEKKtOeMFja0YI0GZE1BeXg5A9+7d27glQgghhBBCCCGEEEIIIYRoL8rLy4mKiqr3foPWWNhG1OJwOMjKyiIiIgKDwdDWzRHihJSVldG9e3fS09MbXHhKCNF08v0SouXI90uIliPfLyFajny/hGg58v0SouXI96tpNE2jvLychIQEjMb6V46RTJkTYDQa6datW1s3Q4hmERkZKTtVIVqIfL+EaDny/RKi5cj3S4iWI98vIVqOfL+EaDny/fJdQxkyTvWHa4QQQgghhBBCCCGEEEIIIUSzkaCMEEIIIYQQQgghhBBCCCFEK5CgjBBnqKCgIJ577jmCgoLauilCnHbk+yVEy5HvlxAtR75fQrQc+X4J0XLk+yVEy5HvV8swaJqmtXUjhBBCCCGEEEIIIYQQQgghTneSKSOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0QokKCOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0QokKCOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0QokKCOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0QokKCOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0QokKCOEEEIIIYQQQgghhBBCCNEKJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCCCGEEEII0Qr827oBpyKHw0FWVhYREREYDIa2bo4QQgghhBBCCCGEEEIIIdqQpmmUl5eTkJCA0Vh/PowEZU5AVlYW3bt3b+tmCCGEEEIIIYQQQgghhBCiHUlPT6dbt2713i9BmRMQEREBqDc3MjKyjVsjhBBCCCGEEEIIIYQQQoi2VFZWRvfu3V3xg/pIUOYEOEuWRUZGSlBGCCGEEEIIIYQQQgghhBAAjS55Un9hMyGEEEIIIYQQQgghhBBCCNFsJCgjhBBCCCGEEEIIIYQQQgjRCiQoI4QQQgghhBBCiBNnM8OSv8DhZW3dEiGEEEKIdk/WlBFCCCGEEEIIIcSJO74JdsyGrEQYOLmtWyOEEOIMZbfbsVqtbd0McRoLCAjAz8/vpJ9HgjJCCCGEEEIIIYQ4cZZK799CCCFEK9I0jZycHEpKStq6KeIMEB0dTZcuXTAYDCf8HBKUEUIIIYQQQgghxImzW9Rvm7lt2yGEEOKM5AzIxMXFERoaelKD5ULUR9M0qqqqyMvLAyA+Pv6En0uCMkIIIYQQQgghhDhxzqCM87cQQgjRSux2uysgExsb29bNEae5kJAQAPLy8oiLizvhUmbG5myUEEIIIYQQQgghzjDODBnJlBFCCNHKnGvIhIaGtnFLxJnC+Vk7mfWLJCgjhBBCCCGEEEKIEyeZMkIIIdqYlCwTraU5PmsSlBFCCCGEEEIIIcSJkzVlhBBCCCF8JkEZIYQQQgghhBBCnDhnMMZhBYejbdsihBBCiBaTmpqKwWBg165dbd0Un0yYMIFHH320rZtRiwRlhBBCCCGEEEIIceLsHjXVpYSZEEII4ZMZM2ZgMBhq/UyePNm1Ta9evTAYDMybN6/W44cOHYrBYOCzzz7zuj0xMZFp06YRHx9PUFAQPXv2ZOrUqfz4449omtZgm44ePcqdd95Jt27dCAoKonfv3kyfPp0dO3Y0y9/c3mRnZ3PzzTczcOBAjEZjqwVwJCgjhBBCCCGEEEKIE2c3131ZCCGEEA2aPHky2dnZXj/ffPON1zbdu3dnzpw5Xrdt2bKFnJwcwsLCvG5ftGgR48aNo6Kigrlz53LgwAEWLFjAddddx9///ndKS0vrbcuOHTsYM2YMSUlJfPjhhxw4cICFCxcyaNAgHn/88eb7o9sRs9lMp06deOaZZxg5cmSrva4EZYQQQgghhBBCCHHiPNeSsUmmjBBCCOGroKAgunTp4vXToUMHr21uueUWfv31V9LT0123zZ49m1tuuQV/f3/XbZWVldx9991MmTKFpUuXMmnSJPr27cvYsWO555572L17N1FRUXW2Q9M0ZsyYQf/+/Vm/fj1Tpkyhb9++jBo1iueee45FixZ5bZ+SksLEiRMJDQ1l5MiRbN682XVfYWEh06dPp1u3boSGhjJ8+PBagaYJEybwyCOP8OSTTxITE0OXLl14/vnnvbYxGAx88sknXH/99YSGhtK/f38WL17stc2BAwe46qqrCA8Pp3Pnztx2220UFBQ0/sbrevXqxX/+8x9uv/32et+bliBBGSGEEEIIIYQQQpw4z/JlNlPbtUMIIYRABRiqLLY2+WmsPNiJ6Ny5M1dccQVz584FoKqqivnz53PXXXd5bbdixQoKCwt58skn630ug8FQ5+27du1i//79PP744xiNtUMG0dHRXtefeeYZnnjiCXbt2sWAAQOYPn06NpsNAJPJxJgxY1iyZAn79u3jvvvu47bbbmPr1q1ezzF37lzCwsLYunUrr776Ki+88AIrV6702uaf//wnN954I3v27OGqq67illtuoaioCFClx8aPH8+oUaPYsWMHy5YtIzc3lxtvvLHev7+98G98EyGEEEIIIYQQQoh6eJUvk0wZIYQQbavaamfIP5a3yWsfeOEKQgN9H3JfsmQJ4eHhXrf97W9/49lnn/W67a677uLxxx/nmWee4dtvv3VlsXhKSkoCYODAga7btm/fzsSJE13X582bx9SpU2u148iRIwAMGjTIp3Y/8cQTTJkyBVCBk6FDh3L06FEGDRpE165deeKJJ1zbPvzwwyxbtowFCxZw7rnnum4fMWIEzz33HAD9+/fn3XffZdWqVVx++eWubWbMmMH06dMBmDlzJu+88w7btm1j8uTJvP/++4wePZqZM2e6tp89ezbdu3cnKSmJAQMG+PS3tAUJygghhBBCCCGEEOLEeWXKyJoyQgghhK8mTpzI+++/73VbTExMre2mTJnC/fffz7p165g9e3atLJn6jBgxgl27dgEq8OHMZqnJmeFTXyZNXc/rFB8fD0BeXh6DBg3Cbrfz8ssvM3/+fDIzMzGbzZjN5lrr33g+h/N58vLy6t0mLCyMiIgI1zY7d+5kzZo1tYJaAMnJyRKUEUIIIYQQQgghxGnKMxBjl6CMEEKIthUS4MeBF65os9duirCwMPr169fodv7+/tx2220899xzbN26lYULF9bapn///gAcPnyYcePGAWrNGl+e3xnAOHjwYK0MnLoEBAS4LjsDOQ6HA4DXX3+dN998k7feeovhw4cTFhbGo48+isViqfc5nM/jfA5ftnE4HFx99dW88sortdrnDBS1VxKUEUIIIYQQ4lRWkQ8OG0S27xMPIcRpzDMQY5PyZUIIIdqWwWBoUgmxU8Vdd93FrFmzmDZtGh06dKh1/6RJk4iJieGVV16pM2jTkFGjRjFkyBBef/11pk2bVmtdmZKSklrrytRn/fr1XHvttdx6662ACp4cOXKEwYMHN6lNjRk9ejTfffcdvXr1wt//1Pp/1161RwghhBBCCHFqcDjgo/Hw3jgpGSSEaDue5cskU0YIIYTwmdlsJicnx+unoKCgzm0HDx5MQUEBc+bMqfP+8PBwPvnkE5YuXcqUKVNYvnw5KSkp7Nmzh1dffRUAP7+6M3kMBgNz5swhKSmJiy++mJ9++sn12BdffJFrr73W57+pX79+rFy5kk2bNnHw4EHuv/9+cnJyfH68rx588EGKioqYPn0627ZtIyUlhRUrVnDXXXdht9t9fp5du3axa9cuKioqyM/PZ9euXRw4cKDZ2+vp1AohCSGEEEIIIdysVVCWqS5XF0NEl7ZtjxDizGSTTBkhhBDiRCxbtqxWqa2BAwdy6NChOrePjY1t8Pmuv/56Nm3axCuvvMLtt99OUVERUVFRnH322cybN4+pU6fW+9ixY8eyY8cOXnzxRe69914KCgqIj4/n/PPP56233vL5b3r22Wc5duwYV1xxBaGhodx3331cd911lJaW+vwcvkhISGDjxo387W9/44orrsBsNtOzZ08mT55cK9OnIWeddZbr8s6dO/n666/p2bMnqampzdpeTwbNuYqP8FlZWRlRUVGUlpYSGRnZ1s0RQgghhBBnqoo8mKVqR/PILojp3abNEUKcoeZcBcc3qss3fQ2DprRte4QQQpwxTCYTx44do3fv3gQHB7d1c8QZoKHPnK9xAylfJoQQQgghxKnKUum+LOXLhBBtxe6RHSP7IiGEEEKIBklQRgghhBBCiFOVtcp92WZqu3YIIc5sXuXLJCgjhBBCCNEQCcoIIYQQQghxqrJIUEYI0Q54ZsrYJSgjhBBCCNEQCcoIIYQQQghxqrJ6li+ToIwQoo14lS+z1L+dEEIIIYSQoIwQQgghhBCnLM81ZawSlBFCtBGbZMoIIYQQQvhKgjJCCCGEEEKcqqR8mRCiPfDKlJGgjBBCCCFEQyQoI4QQQgghxKnKq3yZDIQKIdqIZ3aMXcqXCSGEEEI05JQJyrz00kucc845REREEBcXx3XXXcfhw4e9tpkxYwYGg8HrZ9y4cV7bmM1mHn74YTp27EhYWBjXXHMNGRkZrfmnCCGEEEII0Ty8MmWq264dQogzm00yZYQQQgghfHXKBGV+/fVXHnzwQbZs2cLKlSux2WxMmjSJyspKr+0mT55Mdna26+enn37yuv/RRx9l4cKFzJs3jw0bNlBRUcHUqVOx2+2t+ecIIYQQQghx8iRTRgjRHnhmx0imjBBCCCFEg/zbugG+WrZsmdf1OXPmEBcXx86dO7n44otdtwcFBdGlS5c6n6O0tJRPP/2UL774gssuuwyAL7/8ku7du/PLL79wxRVXtNwfIIQQQgghRHOzeARlrJIpI4RoAw47aB6THCVALIQQQpy2UlNT6d27N4mJiYwaNaqtm9OoCRMmMGrUKN566622boqXUyZTpqbS0lIAYmJivG5fu3YtcXFxDBgwgHvvvZe8vDzXfTt37sRqtTJp0iTXbQkJCQwbNoxNmzbV+1pms5mysjKvHyGEEEIIIdqcV/kyGQgVQrSBmvseu+yLhBBCCF/UtRSHwWBg8uTJrm169eqFwWBg3rx5tR4/dOhQDAYDn332mdftiYmJTJs2jfj4eIKCgujZsydTp07lxx9/RNO0Btt09OhR7rzzTrp160ZQUBC9e/dm+vTp7Nixo1n+5vbm+++/5/LLL6dTp05ERkZy3nnnsXz58hZ/3SYFZUpLS/nss8+4++67ufTSSznvvPO45ppreO655xoMajQ3TdN47LHHuPDCCxk2bJjr9iuvvJKvvvqK1atX8/rrr7N9+3YuueQSzGbVKczJySEwMJAOHTp4PV/nzp3Jycmp9/VeeukloqKiXD/du3dvmT9MCCGEEEKIpvAqXyaZMkKINlCzXJkEiIUQQgif1VyKIzs7m2+++cZrm+7duzNnzhyv27Zs2UJOTg5hYWFety9atIhx48ZRUVHB3LlzOXDgAAsWLOC6667j73//uyvRoS47duxgzJgxJCUl8eGHH3LgwAEWLlzIoEGDePzxx5vvj25H1q1bx+WXX85PP/3Ezp07mThxIldffTWJiYkt+ro+BWWys7O59957iY+P54UXXqCyspJRo0Zx6aWX0q1bN9asWcPll1/OkCFDmD9/fos2GOChhx5iz549tT6g06ZNY8qUKQwbNoyrr76an3/+maSkJJYuXdrg82mahsFgqPf+p556itLSUtdPenp6s/wdQgghhBBCnBTJlBFCtDUJygghhBAnzLkUh+dPzYSCW265hV9//dVrTHr27Nnccsst+Pu7VyeprKzk7rvvZsqUKSxdupRJkybRt29fxo4dyz333MPu3buJioqqsx2apjFjxgz69+/P+vXrmTJlCn379mXUqFE899xzLFq0yGv7lJQUJk6cSGhoKCNHjmTz5s2u+woLC5k+fTrdunUjNDSU4cOH1xrHnzBhAo888ghPPvkkMTExdOnSheeff95rG4PBwCeffML1119PaGgo/fv3Z/HixV7bHDhwgKuuuorw8HA6d+7MbbfdRkFBQeNvvO6tt97iySef5JxzzqF///7MnDmT/v378+OPP/r8HCfCp6DMyJEjiYqKYtu2baSkpDBv3jxef/11/v3vf/Pee++xbt06CgoKePbZZ3njjTeYNWtWizX44YcfZvHixaxZs4Zu3bo1uG18fDw9e/bkyJEjAHTp0gWLxUJxcbHXdnl5eXTu3Lne5wkKCiIyMtLrRwghhBBCiDZn9QzKmNquHUKIM1et8mWWurcTQgghWoumqbUX2+KnkfJgJ6Jz585cccUVzJ07F4Cqqirmz5/PXXfd5bXdihUrKCws5Mknn6z3uepLTNi1axf79+/n8ccfx2isHTKIjo72uv7MM8/wxBNPsGvXLgYMGMD06dOx2WwAmEwmxowZw5IlS9i3bx/33Xcft912G1u3bvV6jrlz5xIWFsbWrVt59dVXeeGFF1i5cqXXNv/85z+58cYb2bNnD1dddRW33HILRUVFgEokGT9+PKNGjWLHjh0sW7aM3Nxcbrzxxnr//sY4HA7Ky8trLZnS3Pwb3wT2799Pp06dGtwmJCSE6dOnM336dPLz85ulcZ40TePhhx9m4cKFrF27lt69ezf6mMLCQtLT04mPjwdgzJgxBAQEsHLlStc/Jzs7m3379vHqq682e5uFEEIIIYRoURaP8mVWCcoIIdqAZMoIIYRob6xVMDOhbV776SwIDGt8O92SJUsIDw/3uu1vf/sbzz77rNdtd911F48//jjPPPMM3377rSuLxVNSUhIAAwcOdN22fft2Jk6c6Lo+b948pk6dWqsdzqSGQYMG+dTuJ554gilTpgAqcDJ06FCOHj3KoEGD6Nq1K0888YRr24cffphly5axYMECzj33XNftI0aM4LnnngOgf//+vPvuu6xatYrLL7/ctc2MGTOYPn06ADNnzuSdd95h27ZtTJ48mffff5/Ro0czc+ZM1/azZ8+me/fuJCUlMWDAAJ/+Fk+vv/46lZWVJxXY8YVPQZlOnTrxww8/cPXVV+Pn5+fT9s3twQcf5Ouvv2bRokVERES41oCJiooiJCSEiooKnn/+eX73u98RHx9PamoqTz/9NB07duT66693bXv33Xfz+OOPExsbS0xMDE888QTDhw/nsssua/Y2CyGEEEII0aI8gzKSKSOEaAs1gzKSKSOEEEL4bOLEibz//vtet9WVpTFlyhTuv/9+1q1bx+zZs2tlydRnxIgR7Nq1C1CBD2c2S02anuHT0BIfNZ/XyZkQkZeXx6BBg7Db7bz88svMnz+fzMxMzGYzZrO51vo3ns/hfJ68vLx6twkLCyMiIsK1zc6dO1mzZk2toBZAcnJyk4My33zzDc8//zyLFi0iLi6uSY9tKp+CMgC///3v6dixI3fccQd33nmnz1Gz5uL8cE6YMMHr9jlz5jBjxgz8/PzYu3cvn3/+OSUlJcTHxzNx4kTmz59PRESEa/s333wTf39/brzxRqqrq7n00kv57LPPfAo2CSGEEEII0a5I+TIhRFurmRkjmTJCCCHaWkCoylhpq9dugrCwMPr169fodv7+/tx2220899xzbN26lYULF9bapn///gAcPnyYcePGAWpZDl+e3xnAOHjwYK0MnLoEBAS4LjsDOQ6HA1DZJm+++SZvvfUWw4cPJywsjEcffRSLxVLvczifx/kcvmzjcDi4+uqreeWVV2q1zxko8tX8+fO5++67WbBgQaskb/gclElLS2POnDnMnTuXWbNmcd5553H33Xdz44031opytQStkXp8ISEhLF++vNHnCQ4O5p133uGdd95prqYJIYQQQgjRNiwSlBFCtDG7tcZ1CcoIIYRogKZB7n7oNBD8Ahrf/kQYDE0qIXaquOuuu5g1axbTpk2jQ4cOte6fNGkSMTExvPLKK3UGbRoyatQohgwZwuuvv860adNqrStTUlJSa12Z+qxfv55rr72WW2+9FVDBkyNHjjB48OAmtakxo0eP5rvvvqNXr174+/sc5qjlm2++4a677uKbb75xlWRrabVX7alHQkICzzzzDElJSaxevZq+ffvyyCOPEB8fzz333MPmzZtbsp1CCCGEEEKImqwnuKZMxk6oKmr+9gghzjw1gzA2KV8mhBCiAQcWwQcXwJoX27ol7YLZbCYnJ8frp6CgoM5tBw8eTEFBAXPmzKnz/vDwcD755BOWLl3KlClTWL58OSkpKezZs8e1nnp91aIMBgNz5swhKSmJiy++mJ9++sn12BdffJFrr73W57+pX79+rFy5kk2bNnHw4EHuv/9+11IkzenBBx+kqKiI6dOns23bNlJSUlixYgV33XUXdrvdp+f45ptvuP3223n99dcZN26c639QWlra7O315HNQxtP48eOZO3cu2dnZvPHGGxw8eJALL7yQoUOHNnf7hBBCnKocdvUjhBCi5ZxIpkzOXvjkEvj+3pZpkxDizFJrTRnJlBFCCNGA/EPqd1FK27ajnVi2bBnx8fFePxdeeGG928fGxhISElLv/ddffz2bNm0iNDSU22+/nYEDB3LJJZewevVq5s2bx9SpU+t97NixY9mxYwd9+/bl3nvvZfDgwVxzzTXs37+ft956y+e/6dlnn2X06NFcccUVTJgwgS5dunDdddf5/HhfJSQksHHjRux2O1dccQXDhg3jz3/+M1FRUbUyferz4YcfYrPZePDBB73+B3/+85+bvb2eDFpjdcEakZyczJw5c3j//fcpKyvDarU2/qBTXFlZGVFRUZSWlhIZGdnWzRFCiIaZK6DwKCSMar3XdDjgo/EqLfn+deDjwVAIIUQTOOzwgscioHFD4YFNjT9u/w+w4A6I6QuP/NZizRNCnCEOL4NvpoHRHxw2iIiHxw+1dauEEEK0Vz//H2x9HwZMhpvnn/TTmUwmjh07Ru/evQkODm6GBgrRsIY+c77GDU5olKyqqoq5c+cyfvx4BgwYwPz583nsscdITU09kacTQgjRkpY8qgIkqRtb7zWriyFnD+TuBXPLpnwKIcQZy1rlfd1W7dvjTPp+2VzWvO0RQpyZ9MyYUoc+a9cmmTJCCCEaYCpRv60+9l2FOA01aQWcjRs3Mnv2bBYsWIDNZuOGG27gl19+YeLEiS3VPnEq2/K+qhN583wIjmrr1ghx5ipIUr8ztkGvC1rnNZ2dLFBrHNSfWSuEEMIXmqb25x16g3+gus1SMyjj40CoKyhT3nztE0KcueyqWkaZI5goY3ntcmZCCCGEp+oS9dvX0rtCnIZ8DsoMGDCA5ORkzjrrLF555RVuvvlmoqJkoF00YNvHUJQMxzfDwMlt3RohzlzODk/BkdZ7Tc+gjK8zt4UQQtTv2Dr4/Bo4+y6Y+qa6zVrpvY2vsw2dGTI2k1qQ2xnkEUKIE6EHhCsI9rouhBBC1EkyZYTwPSgzefJk7r77bkaOHNmS7RGnk4o89bu6qG3bIcSZztnhcWbMtMprepQss8rsFyGEOGn5h71/w8lnyoDKlvGPPbm2CSHObHZnUEZPjXZY1fqCsqagEEK0jGPr1NqAUV3buiUnxpUpI0F8cebyuZf09ttvS0BG+M5SCRa9JEZVYdu2RYgzmcMBJn1GdEGSKn/TGjwH/Nprpkzil/DBhVB8vK1bIoQQjXMG2L2C3npQxt+5joOPQXCvoIysKyPEaefAItg5t/VeTy9fVqF51Kutq4RZ+nZY9xrYba3UMCGEOA1l7YK5V8P397Z1S06cs1/bXscKhGgFTVpTBqB3794YDIZ6709JSTmpBonThDNLBqBKMmWEaDPmMkAPxJhKoTIfwuNa/nWdM1+g/WbK7JgNOXshZS2MuaOtWyOEEA1zBlI8AyqWCvU7NAbKMkGzq8FRvwDfngskKCNOTtIKSN8CE58Bo19bt0aA2gd8d6/KXhk0FcJaIRNOn+lc6bmIoN0MAcHe2y1/CjK2Q/wo6H95y7dLCCFOR5k71O/SjLZtx8lwjhc081iBw+Fo1ucToj7N8VlrclDm0Ucf9bputVpJTExk2bJl/PWvfz3pBonThGdQRsqXCaFomlrXJbZv6w1ceK7tAipbpjWCMl6ZMj52tKqKYN4tMHIajJnRIs1y0TQoOKouy0LXQohTgXN/7hn0dpYvcwZlQO1zGw3KeARiZB8o6mOzwNYPoN+l0Hlo3dv8/CQUH4P+k6DHuNZtn6hbaYarnBimktYJyuivV6l5BGFsdWTKlGWp38WpLd8mIeoja6mJU13eIfXbWtXwdu2V1eTOkPF1rKARgYGBGI1GsrKy6NSpE4GBgQ0mFAhxojRNw2KxkJ+fj9FoJDDwxI8nTQ7K/PnPf67z9v/+97/s2LHjhBsiTjMVue7LUr5MCGXfd/Dd3TD+bzDx6dZ5Tc/BO1BBoV4XtvzregaDfO1opW6AtE1qgLClgzKVBWDWA0cyS1wIcSpwBrst5ar0j5+/+2Q8pIN7O6sJgiJ8ey7wDtC0tLxDsOZFuPyfENOn9V5XnJgjy2Hls3DsV7j1u9r3221QkqYul+e0bttE/Uo8yrI6s+laml6+zEwAZs2fIIPNHRhy0jTV/wJ3cEaI1nZoKfzvDrjmbRh1c9u1I3kN/PRXmPom9L6o7dohTk15B9XvmmsLnipOZKygEUajkd69e5OdnU1WlhxjRMsLDQ2lR48eGE9i/bwmB2Xqc+WVV/LUU08xZ86c5npKcSrzCsoUt107hGhPMneq3wVHWu81a2XKtNJre6154GOdWOdsbc/9R0sp9HgfZJa4EOJUULPkWGiMWsMPIDAc/ILUIKgvJ7dez9WK+8BfX4GDiyG6B1zxYuu9rmjYlg9g41tw2w8QN8h9e0m6+l1ez3G5PEuVzAOZhNWa7FYVKAvtCJ2HqQCtJ2egDNz7iJamly+z4I+FAIKw1V682VzuDtRIUEa0ldSN4LCq8sVtGZQ58IM6H9m/UIIyouny9aCMtUoFvFs6I+ToL7DpHbj2PYjqevLP5zlx1G4Bh71ZKokEBgbSo0cPbDYbdrv9pJ9PiPr4+fnh7+9/0tlYzRaU+fbbb4mJiWmupxOnuuYqX1aUAvlJMHDyybdJnFoKk9Vs2oser79kxqnGuaB8a50gQx2ZMkmt/7q+zn5xzuasKmi2jlm9Co+6L0umjBDiVOC5XzWVqqCMM1MmMEyt3XBCQZlW2gdqGqRtVpc9Z/KLtrf7GyjPhuMbvYMylXp/vuYEDyfPwX8JyrSe3fNg8UPqckAoTH7Ze228Ys9Mmdbpc1qtZgIAK/6YCSCC6tpBmcp892VnuUUhWptzbKI8u23b4cwaO5XXBBEnryQd/IMhvJPvj6nI9zjmaqrfFxDS4ENO2op/QN5+2PU1jG+GZStq9itsJtWXbQYGg4GAgAACAhop5StEO9DkoMxZZ53lFQnSNI2cnBzy8/N57733mrVx4hTmlSlzEkGZ7+9Ti0H+cQN0GX7y7RKnjt8+V+W+QmJgyqxmecoKs42/zN/FVcO7cP1Z3ZrlOZvEOQjVmrVfnR2e4Cg1CNdaQZmTyZTRHOpEJaJz87fLyTNjqDVL9wjh1Bqz2sTpxavkmLOUmX48CQhVJ/WUNh6UcdhVCTSn1grKFKe6B8FkEKr9cDjcfYOapa6ck6w8P3uePIMyzgFG0fI8J5ZYq1RQzTMo45Up0zrly0zV1QQAFgKwOIcYapYv8wzcSaaMaCvOsYm2Lrno3L+Wpvv+mPwklSEx+BrpQ54OzOXw3jgIjYU/7/b9f+rMknGyVLVsUKbgiArI1PXaJ6rmxFFr8wVlhDiVNDkoc91113ldNxqNdOrUiQkTJjBo0KC6HyTOPJ6ZMlWFJz745FwEsiRdgjJnGucMumacebn6UB4rD+SSXlTV+kEZTXOfJLdWfW9wD6R0O0elHZekqSBJS8+m8RzAaWqmDKjAbksGZbwyZaR8mWhlB3+ERQ/B9R9KJqjwXZ1BGX2/GRgG/kHqcs3Z6TXVDMK0VmA6bYv7ckkTBqFEyyrLcE8WqXk8dPbnzWV1Z7BKpkzbcH7/e14IxzfUngDn+X8xt06f02yqJgKwaP5YtAAwoBZT9+SVKZMlkxOASrON0morCdEt3C8Xbs5MmbK2zZSxluURADiK0zD6+l1Y/DCkb4FpX8Lgq1u8jaKFFR9X/ThLhTr+Bkf69ri8GoERaxUQ2+zNcznwg8drH2qe56wrU0aIM1CTgzLPPfdcS7RDnG48M2UcVnWgaWzR2ZocDrSqIgwg5YXORM6Ocn0lM07AsXxVwiG3rA0O+tXF7s9xay7I55yFEtsPMnao97MwGboMa9nX9fy/WX18vz0HDjwDuy1BypeJtnR4mfqO7Pu2TYIyWSXVbE8tYuqIBPyMZ/aA2CnD4fDeVzkHZa2emTL6oF5j2Yk1sx5aKzCdtsl9uapAHQsDQ1vntUX98g+7L9cKynj0550l8zx5BteqJFOmxRz5BXZ9CVPeUP8D53c4prcelKkRECtp/fJlZovq66k1ZerJlPEMytiqVd+45mfqRCSvgWX/B1e/DT3OPfnna0W3z97GnowS1j05kfio0ywwk7MXDiyCC//SvmbAO4OYlnK1z2vqGEUzcejnOkZrhfpOh0Q3/iDnhNVtH0tQ5nTguU+syD3JoEwLOrDIfbnwCNhttdcya6qamTISlBFnKKMvG1VWNq0z19TtxWmo5oCqxwyu/HIz/1i0j4PZjQyEmkow6IuH5hfkN7ztaaakyoLZ1o4XJlv9b/jhATXDraU4S5xUFzfbU6YUqEH/4ipr67+/bXCCDHiUL4uGjgPUZc9F7lvsdT0zZXwsX1YzU6al2G1QdMx9XTJlRGtzZgJm7WqTl//nj/v587xdrDzQgt+zJvh2ZwbjZq5ib0Y9JZKE2j9qDvf1muXLAkN9z5SpFZRppcD08c3e12VNifYh32PWa82sCs8Bo7omyXj2bXzMlNE0jcf+t4tZyw/Dimdh0YMt2588Hax/XS0Gfvhndd0zKAOqr+zQ9w82s/daGfVlZzvskPJrs00UspmdQZkALOh1/GtlyngH7rTm2gccWqI+x/sXNs/ztZJyk5Xf0oqx2jX2ZZ6GE4RWvQDrXoP9P7R1S7x5rndb3kb9IEsVQQ6P754vJcw0zb2fPfYrFBxteHvR8pJX1+7bNIXnMbYpaxzle2er2M01xhZKMyFj54m3y1NhsgqwGvxUmVy7Ra37fLJq9il8LXcuWt7BJfD6YDi2vq1bckbwKSjTr18/Zs6cSVZW/bVfNU1j5cqVXHnllbz99tvN1kBxCtI018KgmkEvc+BxorYwMYPPNx/n3dUNdyQs5e6Oe3GRxwHL11n3p6ijeRWc8+IvPP39vrZuSt0sVaqDveurptXAbQpNQ9M7Jo6asyiaoMJsY+mebCrNNgBS8t0dlvzyRgatmptnKQlrKwZlnO9fSLT75N2zLS1B07xnv/icKeMRHKlswUyZkuMqg6+u1xWiNThr6RcebZPPX2FOOpOM2zmc3XxB75OxdE8WOWUmVhxo4/ru7VnNk1dXpox+PAkIc5elbCwQ3haZMhX57gkBEQnqd0sfi4RvPAZ3TJUl7tsdDjTPSVZ19cc8/odapW9BmZSCSr7/LZNv12yFTW9D4pf1B+jsNji0tNVKcLVbxfpEEudgsvM73EHv12l2MOu31SwNWN9EoCWPwufXwMa3Gn15TdMancxk0zNl8Kt/TRl7hfcku5VbEut8LpPVjtaUQJ1zMK/81FqnZn9WmSseebzQx3MDTYPVL0LiVy3XsGZiyU8GwO45EaqtOeze+7KmDIQ3p8oaE059KelpqfA+f9kxu3nbJJqmqgi+ngZfXH/ixyjPY6yvAUJNg7wDANg0NZxbUV6jX/f1NPjkUndm1clwZsn0vhjiBqvL+c1QwkwyZdqvg4vV8TRpWVu35IzgU1Bm7dq1JCYm0rt3b84991wefPBBXnzxRV5//XX+/ve/c8MNN5CQkMDdd9/NNddcw5NPPtnS7RbtmalERdCBVE1fE8JjRkp2cRWjDUmk5jRc5iAjw32iZ9NPEis3f4pjZldM+5Y2a5Pbky0phVjtGiv25+BwNH3mYHGlpWknMk1+AY+OdX0Lv+qySqq58j/rmb+9iQMvplIMehquubyokY3rll1aze/f38SDX//G+2uT0TSNYwXuE5681g7KFHtmyrRi+TLPTBln6YCWDmxaq71PGk5oTZkWDMo4S5cF6uUKWms9BSGcXIMAGmTvadWX1jSNP1b8l48C3yT0+JpWfe36ZJWofURKgWRa16vm8da5b3dlyjRhTZma+7zW2Aem6+vJxA2BzkPV5bomdtht8PVN8P19kj3RSrT8JNflwkKPvnl1sStjHagVGCwoq8RekuF+nsoCn/5nOaXq+36+cb/7xpoDlE5rZ8K8m2HTO40+7ynPboN5t6j1xjxZq2tnjzv3B+GdITBcXXZWJfDMXoK6gzIHFsFvn6vLmb812rS3PviAd178C0UV9e9b7FZ1X1R4uEemjPf2FUXegfdfd+xmX6b3vu1YQSWjXljBs4t8n5xm1WeJO3xYI+ST9Sn8e8mBlj1X8pFndmh6kY/nBjl7YN2r8OOfW/d8oqk0Da1U7R+OHW2mNSiag6kU8Pjft1lQpkbWmC8THWtmI+766rTOLnA4NHYeL3ZNrmx3yjLVmJet2nvNvKbwKl/m48Sk8hwwlWLHSLKmJrmUl3v042wWyNsPaN7luk/UkRXq95BroZO+hnhzBGVkTZn2S993t3g5eQH4GJQZOHAgCxYsIDk5mZtuuomsrCy+/fZbPv74Y9auXUvXrl35+OOPSU1N5U9/+hN+fn6NP6k4felf3lItjCx7B3VblXs2bvesn/k+6HmuK5mLze6o6xkAyMpyz5qz65H0lO0rMGo2Dm1b3vztbiecgYNys41UX2dN6dYczuOsf63knUaykE6GJc998l5e2nDAZOmebA5mlzF7Q2rTXqTc3SkJspW5SzL46GheOTe8t4lDOWr275aUQvLLzVR4dOryWmNdmeJUNYvJbvOeEWw3q9tag2emjH+wutzSnZ4T7WSZW6l8WYE+WzthlPptrVQz54RoDaYy73JR2bta9eVLq62MRO3HA0raR+mLrBI1qOCZzShqqBWUqbGmTKDHmjKN7XOdjzXqs9lbI1PGWd6jx3kQ3V1dLs2oY7uNkPQz7Jnfctm4wk3TcHgu2us5OaJGxmpFiXsQUdM0/vLJz/hhd83UNTos9ZfK8pCtB2Uu8PMMytSRZWO3ugMHrVF29UQlfnniA3KeshJVGa7EL7y/k579x5pBmeAoCNHXZHEFZWpMhHIGZTa9C6/2ha9uhMWPuO9vpAyN3aFxc84rPKHNJWPrd/Vu59ADMDFREVg0Z6aMd/kyc6nq21UZ1L4qjkI2HPUenN5wtACT1cEvB3wfDDqeo/728vyG9xkVZhszfzrIJxuOuc4R2tIej4DUcV+DMs61JBxWSN/aAq1qJpUFBGnqM2Euakf78qoa565tFJTRapznVOenNv4gZ1AmIh6ie6jzrfZWGq4ZrTiQy+/e38S/lx5o66bUzTOz5divJ/YcXuXLfAzK5Kt9QKYxgRJUUL7CMyhTkuYud9vIoHpeuYlLX1/LGyuT6t/IGdjpOtodlKm5ps2JqFmi/jSvhnNKcfa/W7JyiXDxKSjj1K1bN/7yl7+wcOFCEhMTOXToEBs2bOCdd95h6tSpGI1NejpxutI7GflaFMX6gSI/z93hCa5QX/LeZJLWQAe0MN8jBV0fwNL0jBtr2em7mKhnNseeJtbX35qi3p/NybVPbi02R4OlBzJLqpm1/DCFDcyCAzhyYLfrckZ2wwPnh3PVCU9SXrlXQKQxlmL3QI0RrUn17k1WO/d9sZPsUhMJUSoIsTez1NUWp1bJlFn5HCz5C+ycU3vmYkuWMNv/g3sgw5UpE+Uxi7qlgzI1Pre+zuJq7UwZZ1AGWm9NBSFqDgC08royuVlpdDKo72hAZduXCyszWSnXjw/HCipOKEP0jFBfUEbfb5bYAjA5Z6c3ts91PjZSLyPW0vs/mwX26YO5vS+GKD0oU1e5lkNL3JfTt7VsuwSU5+Bncf//jR7HYUeZdx8vJ899/UheBaZ81a8pCuhClab3Lyob75/nlpkAjfM8M2Wq6nhc0nL3gJUPz9smcg+oNXG+u+fkn+v4Rvdlz4ClZ/mZuoIyoXpQprpGpowz6Or8nx74Qb3PR5arvmFMX/f2dpsaEJw1UPVbPWTnZNPZoF438tD/6m+/HpTpGBWOuZ5MGU3/f+aGDgQgniJX5pRTalYebwS8x/CKDZRWW/GFM1Mm1Jzf4ESuPeklOA8xSTXOC0qrrSzeneV1rpSUW06ZqeE2VJhtPL94P79/fxPZpd773jKTlXdWHWHn8bpLhe7NKHFdTitsYlAGIHWDb49pA5Yi93lPmCmnSeeBLaq6ZlCmRj8o8Us4uqrx5zFXwN5v6880dThg4R/rXYPVXOZ9nmMuOF5rm1qcAaWwTnDW7ery7m8af9wpan+W2s9tPXZiVTNanGdmS+qJrb1RXew+J7CW+hggLFRlAZPs8Zi0QACqKj0+h55VTRqZ5Pjz3hyS8ytZmFjHJBlQn3PncbhDrxYuX3b6Zn2dUhx2d5ntinqymEWzkiiKaH76YGq+Fu2K3iceSnbd7dBnf8UYyjmaV/+MuvIi90HETx8wCLKqg7PB1E4Pzs0g9SSCMhnFqkNfM8OmymJj4qy1XPHmOooqLbUep2kaf/4mkXfXHOWfPzY8GyXvuPv+/IKGB86dJzyaRr0LOOeVmTiY7d2hPX7ce/a2VnMmRQNmLT9MSn4lnSKC+PHhC4kKCcBsc/DTXu+OTl5ZKwRlnCfSBxd7ly+D+mt8nyxrNXx/Lyx+GMqyPU7co32fRX2yag4e+ly+zOM9aclMGWdQJm4o+OkDSbKuzGllf1YpP+3NbhflSWqpuXZCK2fKVB131/CPshX4POhVk9XuoKSq9vHEFyarndIq9brZJSaP2x3ktEYW46mo3qCMOu4/vSSF1Uf12xotX6ZvF9VD/W7poMyBH9TgRXgXGHiVOyhTMxNG09T6IU7teRb4aULTB1YcmgGAAJu7X56f6/3/KfLo821OLqSbQZ2sGzr0oAi9HGjN8jp1yC6tprchhwSDR1++rqBL4hfuyz48by3lOfDbFyrjpqUUHFa/S9NPvpTU8U3uy54By5pBGavJvVZLSLQ7KON8j5yZMh0HqN/OvpVzAGzkzTByOtz2vcqgdtigNE0tWF2Ro9Yq8ZixnJ/qLiPWPX9dvYM0mv4+d4qOcK0p47CaeG35IV5cqsqFBZrV/9zUUZUw7GIoIq/ce58fnL6eG/w28KD/Io7m6X2zI79Ayto6XxfAoAeiA7BRUlj/ZIPE9BLX5ZrnoG/9ksQj3yTy/GIVLFyYmMGkN9dxwcureXvVEb7bmcFzi/bxvx3u/82O1CKueHMdn21KZcfxYr7Y7O7rW+0OHvjyN15fmcS0DzfzxeZUNE3DrkeFSqutpHoEYjKKq133NchzMLQdBGXsDo2nvt/D84v3e02qKMx0n8vFU8iGpBMb3Pt5bzYz5myjoJFJgz5rKFMmfbseZL274VKMNgt8faPabvO7dW+Tu1cFTHZ9Vee6HlVF6nVLtVDA1/JlettDY2HEjerysXV1Z52eBpwl/Y4VVLbPEmaeAb3s3XWvu+akaWqMrMbnyu4xCbGq0Mf/o/55OmbvRBXqPLa6ymN/5rmGUyOTHLceU8eN3DKz65zp250ZzNumH0ecQf6QDmoSgDNTpuDIyR9b9Ymjdr3/IZky7URFruoXgGTKtBIJyohmp+kHqHyi6N+rJwA5uVmkF1WhaRqaWR1gO1DO0fy6gzIOh4a13N15C7Cq7UJsenDGUlJ/A+y2U7YUkc3u8Moe2uMxg8oX6cXqpCS71ES1xf0e/Lw3h8ySalILq3jsf7tqzUT+5WAeO/RZXD/uyeJIbt0D1McLKwmtcJ9wFBfVf5LscGhes9B21/G3aJrGfZ+s5f53FnLYo4xAboZ3AKOs2LcZktuOFfHpRtUReeV3w4kND+KsHtEALNmjOr9G/bif29jAX2EybHjz5AbrnR2h1I21O+QtVQe6IMldLqIgydVB/HpPGVaDmk3T6IDdibBWw8//B0dW1u6U1jdrO20rfHypOgkC7/e6pYIyDruqxw0QNwiCImq/tjjl7E4v8RpgeejrRB746jeW72+9TBCzzc4fv9jJ6ysON7yhs+Z9l+Hqd8GRVv38aTl7XZc7G4p9X1y4hucW72fMv3+ptR5AYyrMNq59dyPnvbyK/HKzq3SZU3soYbY5uZBr393ALo8BvBZlt6r94Ob/wtaP6p7p7dyv+un78RrlyzIrDZRa9Znxjc02dAZhorrp18tbbv0WTYMt76nLY+8B/0CP8mU1BqGyEr2DlhKUaRaapjFr+WGW7qk9Czf7yC4Ajup16YMc7r5JbqZ3X6zco3zZpuQCV1DGP6YXRZo6lmqV3iXOnH1/TzmlZi4w1lgvpOaaMmXZ7jr2cGKZMqv+BYsfatn1aDwHv2qWDWsKh927BFppA0EZ53ffYFTryYTGquvOoIxzElDcEPXbGZRxPu68B+D6D9Ss55g+6rbCFMwZeia83QwZ7iy1yiz3Mc0PuyotWAejQ/U9u8REudaUKSor579rkvl4/TH2pBcTYVdtCO5xFgDxhtqZMhUl6u+IoIqk3ArV/nnT1cLVet9Z0zSvjBaj3d2v3Xuw/hnciWnuSV5Hcr3PQbfo1QbmbU9nXVI+/1qiMlLKTTbeWJnE4wt2M3fzcf723R6OFVRSbbFz/xc7ySypJjxI7Xudk0E0TeO5xfvZcLQAgwFsDo1nF+1nxPMr6Pv0T9z44WbX8aVrdAgBfgYsdjUpIaO4iv/8coRFuzJdk+28eGbKZO70ntBUmgkHl6igQVN9dw98cGGTz0++2JzKN9vS+WxTKl9tde8zynLc340gg5Vt+xsoj9SAd9ccZe3hfFYeaKbzgpoT/TzXIdq7wL1NfZMVNA2WPOrObMvdX/d2R39xX/bodzmZS1X/dLdDZawFVWbW2qYW53c8NAY69ISeFwIa7PHIYLOaYOkTcOzEMjeaXVk2/GckrPh7kx+aoY9raBrNVm5Q0zReXXaI739rhkCWZ8BDc3gH1ms6tBRm9Ye1L3vdbPQ4tjnKfDxn0Y81GZo7KGOp8nh/fMyU0TSNbXoWksXmoLjKSoXZxtGFL5K26N9qbMZ5/OnQS/2O6g4BYap8YiOlLxul92vziVbXZU2Z9sEzyFtVeMqOq55KJCgjml1RnvoiFxmiGT1IdTSiKWfVwVxKqqwEa+oAG2soJzmv7sGX1MJKIhzuzlCQvRy7QyNcUwecUHtpnSVOSsvKyJs5lGOzxjfr39RaMoqrsTk0grBgxMG+rNIG192p9XiPgM7xIvd7u2Cn++Ru7eF8PlznPoja7A5eWaZOYEID/dA0eLvGmjT7s0rZn1XKvO3p9DG4O6/lZfVnsKQXV2Gyutu+u47Brf1ZZTxd8g9+CfgLG3fsdN1eWeB9YluQ71tH/F9LDqBpcOPZ3bhkUGcozeRB+1d0oZByk4r4D+8aBfhQvmzh/fDL8yr1/EQGqxwOV5kGNLs+q9GAI7Sjuq2xuuurX4T3L1BBjqbwPFnL2aNeG3hhVRYL9+odv5ZYFHLnXNj6Pix7yvdMmT3zIXOHKmujad7viam0ZWbM5OxVzx0YAZ2HQ3Ck/nrttHxZVVHT1lTa/wO8fyEUtI+1QlrD4Zxybnh/Ezd/vAWHQ6PcZHWVgXx9RZJvM0+bweakLG5O+jMR6/7pVYYSVJDaNcvPmRIePxIiEgANchpY0Dhnr5oJ2UyCi9zZjl0o9pqp6yur3cHiXVnYHRprD/s+i0rTNJ7+fi+Hc8upstj5La2YrBrlXo4VNL4mha8qzLYTypZasCOd3RmlzN/eCnXwrSb49HL49DJY/jT8/FfYM6/2ds79anQP7+v6gFwlwfWWDKrvuZLM6niIw9ZyiwWnb1XBFv9gGHOnus2ZKVOW5X2y5yxd1u0c9Ttnn/daY80pYyd8czNs/7TZJ0kUVVq48j/reXd1+1gH5be0Yt5dc5T/+25Prb5zboqapHA8RA3gh2nVaPoxp7Qgy2tbU7kavHE4NLakFNHNoPoU4Z17U4Q6lpbpC7k7HBpPfb+Xi15d48o8cMopq3aVLivTZ4nXLF+m7Z6nBrmcA0FVha6+2C8Hcn0LJut1912l8xrQWInf+jhOJihjs6jyR6WZamDX7O472YrTMVn19tQXlAmOAoPBIyhTY00ZZ5kZiz5Y55k57eQMyhSlUJj8m+tmy1H3+ghagRpML9HC1A2JX9TqF5usdvwcatZ0bGQ4Nn0SUFaB+29asHE//qi/Ka7/WEBlyuR6ZK4XVpjR9PZGGKpV4KS6WF9M24Sj4ChL92Rz+ZvrGP3CStdMej+Hu7+YnFL3907TNBLTShhqOMb5xn0cyXMPYlaabRzO0Utla3DXZ9spqrQwsHME/7lpFGf1iGZMzw70jwtH0+DTDSks2JlOYaWFbh1CWP3EeIL8jaQWVnEwu5wFOzL4emsaBgN8eOsYnr5qEEYDrlKd244V8Y9F6rg/qns03Tqo78HxwkpeXHqQN39J4s/zdnHhK2v4emua2g86HGCpRNP/v7ag6FrrypTPvw/m34L5zVFoiV/6fv5Ska8CEjl73ROXfJBbZmLWCnewZeZPh1zfTUuhd1A3+cjBJh+PTVa7a9Jeuq9r7jTGWb7MmSnqzJSx22D/Qvd2ZbWD2ABs/VBlvzh57gM8eZZAq+M9dZSrvtMeTX0HwyyFjZ/3uIIy+nd+5DT1e8989//68FLY/jEsfazh52ot+75V+7A9C5r8UGdQBuBA9omdpyXlljP5rXWuSQmJ6SW8tzaZv323p1aWXmPyMlJIfWE4W755Ud3gLF/mXLO1ob568mr1e+N/3JMMNI0gs3uCa7DJx2wyV1CmIya9dKjV1PRMmeT8Cgoq3AHcnFIT2bl5/J//1zwZMJ/lm3fWDsoYjdBJz8I8yXVlND1TJlfT16BuLChTXVxngPOEOBwt179sbbvnwbd31+7LlmbA/+5o+pp3npNCNMeJZSqLJpGgjGh2BTnqixwWk0BAuBqA7kA5qYVV5JabCDWoHW6koYpjeSV1PseB7DI64O4shzoqKSyvJgrV0YumnMIaZbgcDo3/fv0dcfYcelftpbS8/e9oa3ZOjxVU0tuQze7g+3g5aA4mq6PebKKaKs02r/fEWQYtvaiKLSlFGAzwyKX9AZi14rBrdvJ3v2VwNK+C6NAA5sxQAyFL9mS5slyW7slmytsbmPL2Br5Yu9e1FgGAqbzY6284mlfOMwv3kl9udnWiA/xUasrxtOO1Bn2W78tmmCGVQIOdkkPqBNBss+NX4T1TpLTIu0NRUmWplca8L7OUvZmlBPoZ+b8rB6vO9fxbOCfjMx70XwSAPzb+FjCf84z7awVlkvMrePnnQ1zx5jru+NcHkKFnbxxaAlver+ddr2HdLFU2zOEAUwkGh3dab2VwZ1IrnDX/Gzm5+G0u5O6Dr36vUul9TRH27CBl7ADAovljIpDEbP39b+5MGU1zlxkpSnbPygnQB1vqG+xzpn1XF6s2Obz/pyedMpv4les9cHGWeuh5Hvj5t+9MmWPr4dU+8N44FWzxJTiz/RNVMmHXly3evPbig1+TsTs08srNZJZUk+yRaXEkr4LFu32YfViHrJJqryyQcpOVzcmF9Q4qZOxZx8V+e7nb7ye+2+g9CPnkd3s458Vf1H5RzwTQIhI4HqRObBK3rqm7EdZq+GwqfHG97wuANiKm3D2AEmco5riPxxhPezJKXPXh92WqE+VNRwsY/a+VXPmf9fz9h72k1PG832xLZ/Fu90BvUk55rUyZ5BPMlLHZHeR5ZEBuTi5k2HPLebOhxUvr4VxwualZQCdk8zsqaBEQpgJ1oILyNQdn6gnKaPqxpFoLwoSeRePjmjKf77PgQE8fbal94NYP1O8RN0KYPikhoota78Jh8y4dc1APyoy9HyK7qkkFWb/RIlY9rwavlj4Gbw6Bfd8321OvS8rnYHYZX245gcyJrER4rT+sf93nh9gdGscLK137po1HC5j24WZXwDRJzwgoN9tIcQaMd86l8oPLGZirysV1HHQ+AEaDRnFpCQAWfSZ3ZVAn9ZjqEkxWOweyyyitttLTTw0sBcT2whqoBlUK87LQNI3nf9zPPD2oOXfzcXYed5cMyi2p5jyjCg4vt5+tbqz0PulP3qUGt452u0Hd4LCCqZTtqUXc8/kOHvjK43NRmAz5dXzPncGJ3H1136+z2h1c+Z91XPWf9VibMBEKoCzbHQBw1FGiqF4VeTD3alX+6LOrvGfVA+t3/Mb419ZQbrLWCMqUeAdlAEI8ypdZq919J89MGc+SZ87HgUdQJpnwEneGSfmh1a7LwWVqgG+ObTImLUCVz8r0/l4WVloIRPVTw8JCMehrGOYWuwdSN+9Vz19OKGGd1aS9CEM1VeVFrmBhUm4F4ah9XxjVKnDisW96c/7PPPj1bxzNq6DSYicxXX0mnQvKA+RlebxfHtKLqimqNDE38BW+DpxJbFGiKxC3J6MUhwaxYYGEBvph09vz7+uHce2orix84AK++9P5vHDtMAAW7Mjgg7WqNPd9F/chLiKYCQPV9+SbbWm89LPqiz8xaSCThnbhvov7suXpS/nlsfG8eL16juP6hIiz4gMZHKWOp6kFVWw4qr5XPWNVH3r35mXwUjdY/QLmnEMY0CjQIllcpWfbepQwM+eo9zioMhPDogfJ3eRjXzBts/tyPZ/jvHITz/6wjwNZ7v/pv5YcoMJsY2T3aMb1iaHaauevC/agaRrGMu9MhODqHPZnNW1g/VBOuet/kV7sfVzLLSxi43/vZ/+21XU9tF6aHrxcV6bv18pz1HlM6nrv846a6/+BCnyu0Qfkz9HXkSpOrR38MpV6D4Rm1w7KGPRAdDLd3GtyOTNF7VaYdwusf6PG69cIygy5VgUE8g+5S+E6g0kFSXWv29aAokoLzy3a51VK/aQlLVe/K3KaNPnDbLOT6xE0OdDEz47Th7+mcCinnC+3qCChsxqI1a4xb1vD78/eLb+wb+Z4UvarzMH0zd/Ry5FG3BE9W7BcP98dMFn9PrIcNr+nJnvUzC5wls62VZO97HVV/tdUip/mPr8P0arQfAkU1JEpYzN5jCv4mCnjzA50yi0zUZjtfmzy3q3YnQEePSijaRp00gP+J1M+0WrCoAdh8vSgjL1mUOHoKu/X+N8dKpsv7yTXs0n5Fd4/H17t7a7WcarKSlTrVu37FpJ+9r5vzUuqfPCGN5v2nDXLIbbkOr8CkKCMaAGmIjXgEt+tl+tEoYOhguOFleSWmQnFY0ZUfk6dA1z7s8qINbgPvhFUkZmTi59BbRtNBZnF3h2Gt35JwpLuPkk4nn4SZQRawSfrUxj63HLWH3HPikgpqOQSYyLBWLjcT/0te9LVyVeF2ca+zNJ6ZwplllQTSymvB7zPMEMKxwrUdt/p6bkX9O3IXy7rz9k9O2B3aPy8T733n6xXB9uHJvbj3D6xTB7aBU2DmZ99h3lmL1K+fRaAQH8jPQ3eB/YgewXZHmUHnv1hP19tTeM/q5JcQZ1LBsXRy5DL9+b7MH91CzmlJtdaAr/uO0aoQX0eOpTsJ7fMxO70UjqiOgk2vSZ1eYn7PSqoMDNh1lpu+miL12dn3nb1/75iWBdiwgLVAShLrZ1wjlGVXphi3ML52Z8z0/8Tr8E7u0Pj5o+38MGvyRzOLedqixqkKA/qojZY+WyDi3EvTMzg5x2HYfW/4bfPIe8A1jpSkA9URbs6T1iqcDg0/r3kAIt21Rg0tpm9O1GJX6rn9YEl2z0YbE1XAYlSQvE3Gl2LARaVNaFjW1Wkyq/l7Ku/Vm5Wohr0ADWjIlO9bkWgPgBX38wXZ/CtusgrS8YRoS8+fTKdgMzfYNED8P193rc7O3e9LlS/g/RMmZZeU+FEHN8EaKpm/YI74MdHGn+Ms9NfMxh1msoormLx7iyuMW7iQuNeDuW41ypzlip8c+WRJg+0We0ObvxwM9f9d6Nrn/vqssNM/3iL68Supop0NXvLz6BxfNcq9yxnYM2hPKosduZuTnVlyny+38p32eo7UpFaz8Bz0jJVc9lhq3OgxLNMZWN/j83uAGs1cRb3SWiQwUZ+Xj2zQZNWuBYTrWnjUfcA6l49cDFvezpFlRbXYPT/fec9m23n8SLXjPk+ndSM66S8CrL0NWV66QNQNbOMfPXaisOMnbmKTfqAVtLO1RwIuhPThncprmMttYY4Z/oeyik7odnzPivNcA+6XP0fuGsFRHaDsgzY9qH3tnUFZRx210ltFUFNzpQp1cKo0PS1xlpqH5iql3gZdYv7NqMfROr7eefJX2Gy2tcZ/aH/5dBdzaQn3V1GyUtD2S2apgJbWz6o+/7qYne7orqr69/epY61nkrST6hslrPMSk6ZSQ2qN8WW99XA4KoXVDDeQ165qdbM3gqzjds/Wsf9sz5n2odbeG35IW6fvY2tx4qYvTEVgGSP0o57MkrAUoW29HHCcrYRajBTZQhl2PjfYddPC/ML8jFZ7QRUq76XXye1KHsElSTllrMlpRA/7PTz1/tm0T0w6AG3iqJcPt1wjM83H8dgcGcnP7NwH1a7A4vNQXBVBjGGCmzGINY4Rqnn8MiUqTTbqNBr6y/LCVclugCqCl2lVvZnlak1JswV8PEl8MllLNh0kH8s2qf2vZZK75Jo++sPuh3OKSc5v5Lk/EoOZTctOGn02C+XZ+vH34p8KEym3GSte/H24uPw0QRI1wdti1Nh7Uvqcmc10B5myiG3zMyO1CLvfb+5zP1eOYMrzjVlqovcpcuCIiGqq7psqaxd8sxJD8pYktcTqbn3AVGFe1xZeDEm1b/erfXhZ4f+vfRc7wcoKDcTaFCBBYN/kCsoU1Difs4Y/fkr/TtAUDia3v4YRxHF+vpkR/LKCTOogdswg5mjOSVeQRmt4AjhQf50j1H7reySavLLzQTh3scHVuXU+b4nphfTmWI66ueXT/p9Tao+CSAxXWX+j+sTy2OXq8kS08f24JxeMV7PMa5PDMO7RmG2OcgqNREbFsgfxqjMv6uGxwPwxZbjFFdZGdA5nPsu7uN6bFxEMP3iwrl5bA8uHtDJdfvvDz/OG9m30Zkilu7NotxkIyLYn3n3jQOgf8FqQEPb/ikf/09lchxxdGOzQw2MZu9WGfWa3Uq0XX0/tjjUmj2Z+z2CLQ3xLLtUT+bHP37YzxdbjvPiTyqgeiCrjCV7sjEa4MXrhvHa70cSEuDHttQidmeUElqt+hZWP3VsTzAUsPpQHf36Y+vrLYO016P0tWd574ziKuZ9+CIX5M/Db/nffPsbUZk3G/eoAO0+q/79sJvVMWDft94b1xWUWTdLfQc7D4dJLwIGsFbWLr+Y8quaVGDUj8l1ZMoEVKvvcViHeDI1/XzJOUM9c6eaFPjrq2qSoZMzy8cZiA2OQht4JQCOw8vUbZ6BpWSPbB1PpjKVuXF0lQoY6efTn21KZe7m464KGifNVOod8Ksnm7DaYmf+9jTu+3wHU99ZT3K+6ht6DhEdyC6j2mLnlk+2MP61NVz7343M/Olgg300k9XOCr2MsTMzznPiz1dbj9d7flBYYYZl/8cwyy6K1qgSrH6F6n3pYs/BZLG5z9WH/179LkqB5U+pyR6b/1vjCd0VDML3zGHm91tcn5tyLYQKTWXbpKfVk3nlZC53fQ4ytY4Ehqj9ueYsY+hweB0ztAaCMluPeQdlcspMVOS7zxG6mY9SnKGXr+zQi/+uOcqgZ5dxOGaCum37J7UmFPhMz5JxaAYKNHUuXlXpEZAqSYev/gBf3+T+DuhZm64xBydzhfpulmXRqF+eh8+vUZm0dgts++jE2t/cDv+sArE7ZtcusVgfqwkW/slVFYVcj3Whq4rc+7T8Jn6fawVlctXn7vv74eCPTXsu4ZMmBWXKPAbyfvrpJxYvXuz6Wbp0aQOPFGeKMpOVQJPqZAzo09c1kyPaUMHxwipyy0yuQXiAIEuxK21d0zQ+WpfMv5ccYO3hfK9MmSCDlbTj7sEhP4NGXp77ILMjtYi3Vx9lmDHVdVtmVt21Qi02B9uOFblK2qQXVXHp62u96uC2NIdDBUOqLHaeWbjPNXiXWlDJMKM6GHdwFBNJJQt2pjP5rXUMe245U9/ZwMWvreGfP+7XU+3L2XasyFW3+x7/n/id33r+7L+Q1IJKHA7NFZT5Y48MDOlbmTpCnTT8tDeb/VllHMmrINDfyI3nqJOKp68aTNfoECaXLyTIUsxkNnFBv1j2PX8Fn07t4PV3hBuqOawHX44XVrI5pVB/7hxXmvFZPTrwh+jDBBusBKWu4g+vfsvE19ey6mAulQXuA/8w4zFWHcxj49ECuhjUwag4tBcApjL3AODaw/mUVFnZm1nq6qBXWWwsSlQH4unndFcdzF9fcT1mgDGDSCq52F/NXOttzMVYmefqiG09VkhumZnIYH/ev74H1/qrE+Xby/5EauzFakDUWWe4hv1Zpfxl/m7mf78A0HuPZZmkpqr/Y7IjnlwtGoA0rROV6CnOlgp2HC/mkw3HeOr7vV4DuK5OhV8QXKLX4PVMqdftzSh1zVZ3snoEZQLK1f++TAtjbO8YhvXqDEBlZRMGPb+4Ts3i/OACmDUA8utYL6PGyTlpqpTCgXJ1Iuaw1Jcpo3+Hq4pcJ92VWhDHzHqgpK6OZFWRb6nLmXo5vJLj7gwTh9194tnrIvW7uYIymlZ78VBQ/8v5t8LOz5r+nM6ZTs5FFesrZec8azGVuU8iM3/zPpFrYR/+msxT3+/FYmta8ONkfbL+GD20LN4OfJcPAt4kKbvYFZS5YXQ3OoYHklZU1eS1ZVYeyHWVk3QGHX7Ta9HP2ZhaazJBuclKaJn7hGuodZ+rVEJxpcWVxfjjriwcpSoIuyY7gFRNfSfDTPUERvZ6DBLU+D58vTWNIc8t4/nF+xsMOlVZbFzz7kYufnUN1Rl7MeKgQIuk0j8awGs/7JK8Gr7+A3xyqevkzmS1uwaYNxwt4ErjVj4IeJPyknyKKy2uxUIfvqQfBgNsSy1y1cNPL6rivs93YrE7mDSkM89e0UetF+CRKXNhfzUokXIC5cscDo3vdqr93a/6RIde6T8QajDzoOFb5m+sv8SCpmkcyS13ZcVUmG2ucg5Wu+a13lmzW/F3lTXZ43x1Uh8QDJc8o+5b/7pXYNqhB8U/2K1/ry0VXqUig0LCMWvOdcMaKQGhP66MMMrQMxqbsg/UNBXU8Jz1mn+4diC9ssA9QNR5mPd9ztIxzpm8zhI8Xc9Wi5d3P1e/vY6gzJqXYGZ8/WWpMrbDuldh2d/qLkFz5Bd1EttpEPx5N4yZAWgqK9W5r87aBe+eDZ9c1rQSkuC1np5rjaSiY/UGOV0sVaruvNMPD7hOsk1WO1f9Zz2Xv7GObL3kX2mVlVs/2cqtmf9iWdD/0Sf9W/67JtnVvz2k98M8M653p5egZWzH4LCSp0XzUPibWB89SEBMT6oNaqC7qKiI/VmlxKI+J0HxavA30lDJgawycvevZ0ngM3S056ogWkxfgqLjAKguzeUjvUTuM1cNZu5dY4kODeBQTjlzN6WSV26iC2pfagtPIE/vH3muRfPDrkw6aup4+mt2AI4QfVZ4ZQF7M9yf+S0phZCyRg3umEv5dunPfL75OO+uPlprhnjRtvlsTSmssyTwnrR85ga8zKrAx/Fb8VSdM2fN+SlkzXvUuySTzUK42b1frso/pr4bsyfBO6P57Z1b+MPrP3CwZtmdLe+rGfGx/WCy3lfV1wLU9MW7u+ql4Q4eSQZrlTujDVyBl2MV/ioj0RmUqSpy9Ru0Dr3cwRdLpWsAjKBIVX7GKVZlrAQWqL5jqqEbGVpH/LFRcWQDNpuNrnbVJ60K783/7BPU4/Z95xUYLagwE4C+b/ILxBiggjJV1eqzGh0a4JpsZwtR+3pDpBoUjzcUkaNPlErKLScM9/6rsryU3Hz3gPfI0AKWPHwhU0eooG52qYn8CjPBuIOfnSlmqb62i6fEtBL6GN37g7ONSZTtXuS6D+CsHtHcc1EfVv7lYv49tb9al8gjK8hgMHDPRb1d1++8oBchgX6AmoQW6O9+b5+/eigBfrWHWgwGAzOvH0Z4kD/9gkqIzt1CsKOK8437XRMezu8bS3xUCKO6RzPKqPYbBnMZV5Sp4GKvwWMYOO4qADqW7qeopJSCnAz8DQ6smh/mgVcDEFjiUcq2Ir/+TAXn+ijA8eQDPPT1b16TPrakFLJmfxpdyWdbSgFlJivL9mUTSSVXDu7AsK5RdI8JZbwebFqXlE8Hq/puVHceA6j/88aj3kHu3AMbYe5UyuZOr7NZezy+784S3dml1Uz7cAv9qlWgo7/tCKmZ9fShanjrlyOUFKl25WnRFOtlFylOhQP6YGMH/f9bMyhTfFyVBQOeLLuBI0VW97psNQNZzoHqkdMAg3quCu/ATYhF7eO6du1Blqb2cbZifb/lDF7YqtVkBSfneUaoO1i4qVzte1OP6Vl7nq/jLJlV07ybVQb2lzfAhxe5ym4d1QMXW4+5s9eoKjrxBd2TV3tXQahjcpGmadzz+Xb+9t1eVhzIZV9mGQt2ZLgmRIXp369D2WXM357GxqOFHC+sYnd6CR+tS2HG7O2UVlnU37BngVfW0trDea6SgQUVFooqLV7rT+aWmes8P9A0jQ/mL2Q46j2NLlf/g4gydT3UYOZ4Woq7Xx43BM5/WK0V2ftiddvqf7szOiyVriyoPP94IgzV9E/92tVnKtAiXeuqHDtWfz/haF4FnyxR/6sKYyQVhBIdpR7nqsBRkePVBzTUUw5c0zS26uM2zolSOaUmzEXu8bMhxlRsBeqznevXhbd+ScJsc/D84Z56OVoN8//uIT+zkUBSXfQ+bRmhrizvyiqV8fvhr8kc2vCd6qdZylWQQtNw6Bm1jpoZYNs+hNX/guXPNPyaJWmqfBzA4GvU74M/tmq1jE3JBaxLqhHE3fohfDNdBWKX/AVeH6QmxnkylcGnk9T9TmtfcpdpBcjzCMrs/sb9OSj2qFZTs6++/nX44UHvfm7NoExlPhxYrEorL5gBKWub8icLH/gclFmyZAnjx7vX6Zg2bRrXXXed6+eaa67h22+/beAZxJlgw5ECOhlKAIiL7w6hahC/A+WkF1eRVVJNqEdnO8ZQTrJ+svjx+hRm/nSITzYc42B2GR0M3jvIogzvGsHFBe661S8sUTuhC0LdO5H83NrRcodD497Pd3Djh5v5Vl9n5ae92STnV/LmyqQmrd/i1NQZ2AA704pdJyBpRVV8sl6dwB4rqGS4wX1g62fIZHtqsWvWZYfQADRNDQoOf345V7y1jhs/3MzP+3JIL6riIqMarB5oSCO1sJLE9GLSi6oZHFTIBZvvgc+v5ar+agBm5/Fi3lurOuuThnQmMljN5ukRG8ri+0ZxTYAaCOllzOWdG4cT6G+ki01/T40qg8U5qAYqld8ppiqFOw//ibGGgwzoHM64IPffNAFVp/m+L3YSp39WAIYajvPFxmQ+/jWJTqjbq6JVuTVbpXvGgOeBbKuedvvT3hzKzTZ6xIQyrk+sCsg4rDBoKsT0wYjGaOMRLvB3H6zGGJPULEvg573qszR5WBeuNC0jQLOQHzGERK0fX+T2BCAzLZmbPtrsldkE6n8BcK7RYxZCaTrHjqu/2RzSiXX+qixIsl9vqp0p6tYqj6CSXQ0uODk7bsaOfFCkTma04xu9Otqbkwu5+t0N/H2hR4DCVEZYde3PfSlhDO8WRUykKtVl8HUhvbIsyNYXfvUPUbPJUmssHGmpcg8cx6r/lzMDxhmMstd1Eqhp7s6sR6ZMJSGkVOt1y2sGZTQNvr4RPrio8Tq2zjR+h809gy1nr6rZHhQJXUao25qrfNmGN1QatDNNH1QnaM6VqsO38h9ND5I4T/LG6tk+FTne9W9NpfD5dfDOaNVZK/TYR1orvTtqLchic/DR8h1U7fia5Ll/VOsKtUJAqKDCzLztaYwxqplT4QYT+elHXCeVI7pF8Xt9BuuK/U1bINYzG+ZoXgUOh0ZA/j7+5T+bgoJcNiV7l9rZkVpMP9wZb+OMB/lCfw7PIEO52Ua1PgM8lxhuuVztG2Js+bVn+5lKvQJxZfkZXvuJtYfz0DQ1s/G2T7d6ZYN4Dka9/PMhDmaXkVVqImWfCjgfcPTEHq4C9LYSd7stNgefrE8he+Xb6obqYrT5t7J4+xHOnbmKCa+t5XBOOUfSMnkl4GMm+23nOr+NLN2bTW6ZmUA/Iw9O7Me43mqAYdGuLKotdu76bDuFlRaGdY3krRuHc/7629kY9DBVBcdJK6oigQJudSwmGDMZxdWu96LKYuPFpQf4IbHhEnR7MktdgRRnVkDfCjWQFmWoomTLF+7At6bB+tfJ/ekl/vXjfi56dQ2Xv7mOq9/dwL7M0lprVXgOCtUp8aumlwYAlSGzf6GauX7lK2ptCIAR0yBuqPr/z74CilLIKTWxL1l9ng5UuUsPVRWp98WhGbjp/AEemTIe+3hTqZqB5/mddAZltFB3pkxT1tVK/EIF6/93u3o/j2+C986Dd8aoGcJOzv10dE8ICvd+jmh9XZlSffDJmd3XTS9n5cyUOb5RnQT++Gc10J60HH7VF8pd/wboi2qvOZTnOqZ7ZZjULOcAqmwZwMCrVNbO1Ldg3APqtiWPwcEf0b67R72Pxce8962gTuyPrnIN/pRWWfnw12T1+tZqDnsMwh/Nq1CluT4cr7Ijagbv7VZ3sObIcnUsjOoBvcer/fjPTwJqlnBBhYXSaiv//nEflSYLt8/eSlTmr1zpp4II/wj+H/0jLPx10gD6GLMpLK+isMLs6mcD7M4oJW+/+h9t1wbz7H03E6UP6piN6thbUlJEYlqJq1ytoaM6tkdRybKdSTyc/X8MNqZhC4qCa9+DiM5ExeiTPopyySs30zE8iNvP60VMWCCPT1KZNt//lklOqYkuBvUeBEYnuILDNr1/o2kaczcec/UDs2yRlBr1gdOqAleQHPSgjHN2ODCQVECVtNySqL7/aY5OmDV/YqpS+OfH8xj9r5V8sTnV618QvPcbxvvtoa8xmyFpX6mgiscga1GlhdWz/07CoTns+/41r8+BEfc5gKEkTQ1m6LP+x1cu56eAJ9myy6Ofpmlw+Cd1+bJ/wrg/wvA/qOv+wSRGTACgC0X4YSf7uPoOZWmx7vV39IHNQyVG/jxvF5ozaFVViLVAvfbWkkhXkA1LpWvmbZEjlCLPzEFn+TKdMX44B4JUGcW0ncvISU8m2GDFovnRq98gtjgGUxqUAOYy3nnvTVYeyMVmd7AwMZNAj6CMX4CagOQsaXbfxX1cQRl/vbS1M1su3lBInj5B70huBeEG9/4rDBPfbXb3ZS7pWEqvjmEkRKnnz9QzZYI9MmU6G4p5ZdkhJs5ay68e5wyJ6SWudTEd+hBIn92z0OxWr6AMQP/OEfjtnQfrZ8Gih7zeo6uGxzMkPpKEqGBuG9fLdXtEcIArKHHV8C6c368j9enWIZSf/3wR31ziDmyNMLqzRS7UH3vFoBiGeZwX9jeqfX58/1HcM3UCFYQSYLCTlnKInHT1+EJjDB16qiB4h2p13HAcXQuz+qG91A0+mqhmYzsH4UylXpOdCtIPs2RPNqsOqX6T49gGen55PoeDZ7Ax+M88bFzAuqR8ftu7j01BD/NiwaOurKqLBqh2r92XSrQ+uTKgzwWAypRJTCuh2mLHanfw/OL9LPnmXQAiSw+x71jt4/zezFJiKONC414KK81Umm18ueU4mSVVnOevBsr9DBoHNnvv54srLexOL+F4YaXXpLdtxwrpgNoflhJOjiNa3bH5XXV+EJEAQ69Tt9UM6K97FewWdgeM4n/FA/j2twz3OhvOYIOmqeOUMygz5HpX4JOc3e7nstsItat9WUK3HmQb1OemIlf/DHhmlHhWaqhRvsxktbMyTfUdrCV6ez0zZVLWqmO/3eYOVmiaO9AYpPcnMtQ5v3MSQVGlhSN5Feo85vVB8NEE8nMzVcmt3P11lmNzyisz8dT3e1UJtBoDy4XptSf2rU3KZ+PRQoL8jVw6SAWY9maWuNaTOad3DKGBfphtDt5buY+PAl7n254/8OrvVGAzJHUlhbPOUeUgv7/Ha7KGZ7lcUEFfZ1BmbG8V2Jq7KdV1/29pxTy3aB/3fbGT3sfca/t1MyeDw05ctfs7WnBkhzsQEtEFJv0b/rgBbl8M/Sepc+Yf/qjee/0Y7wjuwGum6wE437IJc6n6jhUQhTlYfQayM1LVxIAdc7wGylcdzOW6/25k0071v8s1qveqU0w0AAZrFZqm4ShUbUzXj31A7UwuILWwirxy1W+fPEQdv3NKTTg8sk2GGVKJsajP1TuJNqx29RnanFLIoVFPkx3cjyBLMUcWPFvr+RulTxQo1cJcQRlTVSW7M0p56edDZG5f7N62qpDSshKMDrWfzzpeo0/m/I6krG14Es22j1RFjz4T4MbP1cQIW7UKODSn45vhlV5qApEHk9XOnXO2c/fc7ZQW5av1eL+6Ue/naWrcqtNg1fdc9jfvEni/fa4mL+2YrfoZpjJ3eX1n/zVXn5iraWo7F01lahUdU+XfvlaTP7BbYc1MVfLcM5vPGZRxrj9XkefuBztsMP/2BkvCiqbzOSjz0Ucf8dBD3p2So0eP4nA4cDgcvPTSS8yePbueR7c/7733Hr179yY4OJgxY8awfv36xh8kGrX5wDFXWjjRPVzptWEGM0a7mV3pJV7lyzqgDo4bjhTw8s9qUHvSkM6MSgghUk9fd5ZTMBd4R+HL9Zkui3ZnsiejlNggB10s7oG08kI1MFxSZWF/VikOh8b7vya7OujbjqkTFGet7YIKS63amo1Zvj+Hof9YzsLEurNy6rNE7yR0jVYnTO+uOUpmSTW5+QWuEwaA4UE5hAX68cgl/fjt2ctJ/MckPrvzHOKjgvFcq3X1oTyK8rJcmUI9jPnkFRSw8oDqmD3ScQcGzQE2E3F5Gzi7pwqW/aQHI24Y3dWrfbHpKwjVVEcjAJvrgOxKvdXrVEfomTJ2h8a3+izlHjGhzPBbzjnGwzzi/z0DOkfQ3+IOWPwhbDcJUcHYHRpxuIMtoQYz1vwkwm0l+Bk0NIMfho76QnImtZ3DoblqLQNs0Wdmz9umOq/TzumO0W52zwwa/yR0V+n/1/ptpIvDPTB7tvEwuWVmVyk3P+w86PjaVSu44yUPcf1Z3chxqPcqI/0YW1KKeG25u0OZX25m8S71vzzf36OjWZpJfrYK+gVHxzPg1jf5qPNzXHb701Tq5cvMVWWuWeQAqw66O9HmIvX3HDVF8fKWavY4eqv/3yF3yugePaV/1aE816xYW646cc3XojBrAe7maGGM7BZNcIg6oTfY3d/BBjmzSrqMgHPuVpcLanSEEr9UM6yje8LZd3nd5awRW+fClVVFKnDmvKwHGyq1IPI1/SSh5qzrrER9rR/NezZIXbI8Tn6cNZqdpct66OvJgDso05QByZrsNneZHOfCnhV5KiDjPFEzlbqzd3zlzJRJOMtdP9pZ4qGqCOZeo2YJF6Wov63m/8a5LtLJSt0I/+6s1japY7HAtMIKvvf/O/8JfI/B6fNhy3snNItm1cHcJu1LZy0/jMnq4LII98mrNTfJdcLVr1M4l+snGmsO5/kcQE/Or/AKuiTnV5BZUs0DLOA2/1+4x/8nFbRx2NXJX2UBW1IK6W90t32Y4RhH0rPJKzN5zcoLwkKYvQSAsSOGMXakKjHSxVBEes2Fqw8uca8BAPywIZGbPtriminunP1uMKi60P9aqr4TOaUmxs5cxSWz1vLGisN8vtl9XCw4qj6Dh+lJSIya4RlszndlwHy64Rizl64nLnstAGWEY8jZi3Hxg1RVV1NYaeGWT7YwneVEGtT+62xjErM3qM/qqO7RBAf4cd1ZarDth8RM3lh5mCN5FcRFBPHJ7ecQeuB/BOUmEmmo5mrWk11q4uWAjxm051WeCVqgxvj10jMfrzvGx+uP8ej8XTy9sJ5MrNQNVK140VW+5kheBbbidLpp7hPLP9iWsChR7ZNtxzfDqhfovO1lSrfMdZ34a5oa5D1eo+zN3oaCMlVFsPghVQ6hkRMUTdNYuiebvLIq2PQOrPqnuuPS5yB+hHtDo586WYzuob7bn1zO96vWE2BVA1xFRLrKXKQlqf1cuSGMy4d2qTsos/pF+OYm74WJXZkyoZTjLF/mEZje+Rksfbz+MmjOk70jK1RQfsljakajuQy+/J07UO8MyjjXtkBlNt/92XZ2lujBd33Wv0MPynyfr4KFdBkBgREqSLF/oWrTe+fB9/e625G7D9K3sTYpnzs/284zC/eqE/IDi9zbHPrJu+02s8qUARg0Rf02GOCKmTDyZvV3zL8Vg0cgpipZn0VuqVKzX985W80w1jNy//bdHl76+RBr572B9lJ3Fpvu4JOA1zjXcFB9T3d8qgb8zGW1s15/+qsKrK9+0fW+mQZdh3bVLHV/+lawmV2ZXMGYuTPpAWyv9GFg9g/8M1AvbWrwI9Rexsohy3kw/5+sDnycv/rPZ1d6ifdiyVllVB1R5zxlcWfTOTLY/dYEqP9JeWkRu9MKiUE/LjqDMoZKStL2E2mootgQheHh31wLTcd2Vv3IaP0xN5/bw5U14BxoO5xbTkpBJXF6NrQxMp7J56rB4wBrBRZTNVtSisjLyyFIL4WVTzQZZtWuiqIcMj3WoNqaXKACWbrBhjS6Rodgc2gsXacyr9IC+5ISpbKulgQ9w3zH46z88Wv+u+ao6386Plt9nr+0XUqqoZsatDmygpIqC6sP5fL79zfRuVL18ZxrdoB7PRlnfyuiOtNVNrciJIFUR2diDeUEHPL4POYfgpLjaH5BaH0mqNsmv6yydy94lPd2VmPW/PEzaHShCFOec4AtjhJNvQ/mfDXAV6aFsTezlA2Z+n6xqoicVPWd21XRgX8sS9VfVHOtSZZpCuTR+btcs+CtYV2wGYNczYvrfzZ+fdQkzMD0DRQeV2Visv0S6B0XjYaRDeGTABhduJR7P9/BlLc3sGRPtisAg38Q/oHOoIz6P946rie9Q9S+NTxW/45HqBLBcZS4JqodyasgHPf/ONxQTWqWeya7X3EyaBrxUXr5stJqCssqCDC4B68GhVUQGuhHamEVj85LpNJso7TayoGsUtc5VlLCtRRr4cRWp5K//1eV6eNnYGiCO+jt6u/k7fcqrxXgZ2TRQxew9q8TiQp197UB/jF1CI9e1p+Z1w+nMd1jQumU585QcWbEAFygB2WmdC4m2GDFptUYsuk0GAwGigLVsbYg/TAlOeo4XB7YiYR+KrDWxZFLdVUVyRv+B4DBYVPrdC35iyrhU3SMw9t/ATTXhLvuqHMl56S7zFUfEO9w/w+m+a3lsw0pDC76hXCDieiyw+p4oWlc3F8NLJflqPernFBCElQ/p5d/ERa7gx3Hi/h6axqfbTrGZQZ3qd33//cjVRb35IFqi52k3HJeC/iQLwNf4jrjRjKKq9mXWUYfQzYxmvvYbE1WgWaHQ2PuplTOf3k11/53I9e9tphbX5pLQYVZz4qtoINB9Z2Cozq5Fxh3DuSfq69nBrUzZZLXADCragpgUPtkV1DmmPqOvXs2vDUMyjLR/IO559cgVharfujK1b+4J99UF2FEw6EZiIrtTFWI+k6YC1LV/Z4LbTsnmYErKLMxy4HDofHj7iyOW9R5jGuReM8BeFOpOva/fRZ8ernq6FTmg7USBwYO9rpZbVeYjMOheZWP3ZJSqM6n7WbI3UfBe1exYtZtai2OjyfWu67H+78m8822NN5bnaT6CMBeh3qf0lK8J4s5HBqz9PPqO87vxWOT1Hm/IWMbY7Y8zOsB73GrZQHndFaBp0usa5nkt5Ozc//HjaWf8fOluXwc+AZ9HKnuJ9WzXctNVlYdzGOAIZ05oe9whXE7ezNKSdfPvf8xdQj+RgPbU4vZebyYaoud+z7fydzNx9ly4BjX+blL+gVjRju+kQjN3U8yOMtPBkZAYJj79Q0GuPptVV4yK1Gt6aGPnxSH9GSjTVU/GGDIIC9dHUMKtShCY9Tnrjz/OMy/BZY8SuGqt3h12SFu+mgz93y+gwqzje4G9f9Ntqoxti4d1flhkGam3Gxj5y51DEo3dKFAz77JzvSuBlNptvH84v1MMCbyZfjbPL79Yp7zn0tOmYmASvd3vacxj0CDDZtm5JvDDowG1c8H+NviI7xUptbSCStX33e7Q+Op7/fw7uoj7kyremj6RIFSwggM0Y9t1apEaiBWzsOjRFlVIQs3uIMG5kLvv8c1JlBdVLu0metBFbBT7y+Ne0D9n0bepK7v/qbBtjaJ1aSyrquLVR8x1b2PTy2sxGxz0MORQcgnF6qy5HofxnTx31k08BUqbl+mxk+LUtz9RbtNZdM4HViksmrsZug4AC7+q7q95Ljqyx/7VX3mAsNdJVHJP6wm1totKohlrVbBX2cmW4HHOYwzKJNwlvpdmeceA/QPVv3Z7+8hrbCKwznl9a61Knznc1Bmz549jBw5st77r7zySnbsODVq2M+fP59HH32UZ555hsTERC666CKuvPJK0tLa9xok7Z2maRxPUjtMS3CsKj8RHAUGlXYaTQU7U4u9ypfFGsr4ZEMK93+xA4cGN57djQ9vG8MPM/QFxAx+lPrpB5ty7/9PVWk+1RY7ry5TB/OnxtgwaO5OeXWJ6lTOmLOdKW9v4KJX1/D6isN0oIyb/VaRnKM6Ns4ao0CTF4Reezgfi93hNaDulFNq4vvfMvjHon2uTBhQB6yf9qkD3r+uG8rYXjGYrA4enZdIh/JDGA3uHdtTZxvZ+sxlPDZpoFonBZgwMI7/Z++tw+M4r/7vz8zyrpgZLLAkMzM7jsPM7EDDjE2aUtK0aQNN06ShhtM0ScNMtmMn5pjZlmXLtixmWGl35/3jDOxKMqT0PM/vzbmuXI6k3dnd2Zn7Pud84cy/dTrzb53OcxcJo3T5rgZiqr4lPGLbyvlo/X4UQkzrCLM92vqp6XsMkBTlZEpRcsRzI5o3YEmnG/SCQV+kY+hgW3Ur32yr5UBLF/FeBw+cOsRkro9Tt5BJLTEd1uY5JLCev55dhM9pI9se2ewaouxiQrJcH0pUKlHxksja/AKqbdzfEsHwW1bewI6aVlbubsSmKpwxKkvkyz0dklSnDYUcKcZPtuuetvr1OFrdSk1LFysqGqhr8/Mn91/I3fQXQIPR81CGnc19Jw/GHivnKl1ndq7b20y1Xjy+tmwP3cEQ47LdDFGs7/hA5U46GiWZj0vOYlh+GldcdTMjB6QTsEkh2drSzL6wRslXm6vNTW3bVklaGx2pjM6N5+OgbuMS1mgyZvm0dgVMe52926Thul3JZTep5mOb8TEkMxafT5Ie9YeCMrmTzKZMROO/eZ/43gNMuBZSSiOebtiSqMF+QJk2K+mjq9m0zmnHY0q4/U29CqIwmzTtUD7/PV2RKhGD9WOofIx5MgBuw77sX1DKlM+3mGlGI2/jOwIGxecLIwdgx0Hsx4xoqxFmVKBbWIeGUighHxJ0pl2DNCR49fTIQm3virCESmfc/7vmyqz8qzR5KxbBX49m/tO3RiRg9VsWk6vW0KG5qAjp11243UJ/0d0On//MZCd19QS56tXvufmNtX0Gv/cX6/Y28feVUrRO9VSYv/e2lpsKtMKUKIZnx5EU5aS1K8Cy8gb21Hdw25treeDjzby+fE8EMGrEq/pw7liPNFt21LSxo7aNQkX2hynqBj7fVM2m9x+Bt+bR9d5NbNxRTrJBSIhKxa6EGKVuY+3eZtO/+pjBaaTrzchOzck1x4w27VvcSg+V+yIBqbZVOktPZyo59fkOK3c30BMMmZ75j5w5HBDVZ0tXD68u201tq5/yunYe+1qS6ALdmiC6SVhU+1wFOOKkmZNGA7vrO+gOhHj+212cbf8am6KxJFjG5f6bCGgqx9uWMT/5D+S52mhva+Eyu9XoHqVuM4eHjxsgReLcwek47Srba9p4VgdsfnvaENI8IWFl6XGC7TuylFqm2oSle6byJck0Ul7bRnNnD88tttbV15bt4ZIXlpvATFdPkKaqcnjtbCZWPs0DjmcBjT0NHVSvk6b7Ni0Lvy2KArWKlV+9hT8QpOozS9Vyn/NFXj4liauny/21fl8zFTo4Znz/6/ZF7lMRseMraeCCNO7CojsQ4rsddSZo/sXaCna88VOUR4eJbRnAtDth8o19DvvkBoWT/b+kO6kMOurILv870ToIFnBE04x8nwG9EVXtKSAr3rKACIZbRhrAsAFKa5q53kYoZQz7Mk2Te3PFs8Ie7h3Vm8zGMwDv/ETWW2+i2EGEesR2q6vZKpT1vWFnbRvzXljBV1tqeGa7KGdat3wtxaHO8PvDhmghHdgccM5rco7m/lbszLpb5bgZIyx1wcq/mgOAN1W1SMOxZa/l5b9rYaTCsGKRHCcqFTJGAsLs1QBOeFSs5AANhSVBAZMaN+vqn7+dDd/83gJLFzzA1oV/59ONB7jI9hmn7/0tSqiHRKWV2bbVPO98kM7KtZGe5eFWqE2V1r72zYOmguKUb9K58cs2NG+iFNBV63RwUONh97OMVrcRq7XyoOMZ8qgCXwqc/ZocZ+3fTM/vaepaPlpfhU/r4GP33TzsfpZgsIeUZsnVUwfPjPhqQ05p7rW3NLOrshK7EkJDETYpEKN0UObW5yBkDsJmKB6AFB2USaAVu6pw3rgcaVJ+fDvp/nJSY1wEQxpfbqom1VBJR6cxb9ZwAno5+vB733H3O+tJ1dfJgDuBbhxsbxPQoOaArJEp0S4UBaLq1kY0IIc59vDGlROIcdvJ0htXo4cNo/T0n0N8PioapWold9tf5fefbeEvC3fSveRJErUGKkPJ/CpwIa91i7Vp+dL3GP6rL5j3wkoq6lopVWW/SenZa6oxDQBklSaNRF+o1SQkrLQN56WggBf5Td+Z61ZoizD6F3SXcOLTa5i/tUa+54s/5JvMy/hyax1VSN1T5G4iLSi50h4thSbknqnfK3u9YT342FKdUNbZQOeB7ebj31pXL98fmLaZLZqPb7bV8vAX23hywU6mPLiQnQGrBnBnDaN00vGENIXCnm10r5VmdaM727S4+f2BUYQ0hUm2jWQptWytbsVpU0wgDZsThwHKKD1kxnmIcTs4e5CsNVEJeg0SJaBMstJEdUsXdW1+Gtq7iVLCQBk6iSZsn+5qhvY6MuKMmTJdNDVHkmoy1EZW3D2b/CQfjR09vLikgke+2EZPUGOIW3I1JXMkK0PyvR3YuQaAsvQY3A6bdaBwEkq4rSACzIRblRmRneDlxtnFxHmdff7WJ0JBs9EPUKbsxkGAjFg3+UlyrrM7ZA39LjSIXSErrzdsbTujhFzRUVNOV4Nco35vOkmp2bThxaZo7Nm5AVVXaTzQcw5ry24DhxcqFhF6egZ7v5B1vjxecuMUpQk3ftOeWtH3to+KfkXAEUWq0kSocgXH2MKsJdf+Dda8SnaClwFJPjIVqbHrbKmmxVe2Te7rb3fU87fleyhRKslVrfo5tmUbv3zfIlxtqmohSmtnmk3Wq4vtn1LZ0MGmqhbG6u4Emr7OF7WvZv3eZs59dik/f38jnT1Bpnor+Mp1G68Hb2H96uVUNXfR6g+YThwpqekcMEAZkD1h7BUQrV+f4aBMe71J8FodFHuzDfta0Ayrs4ZdUqPV70BTbGjpw3k96Xq+3NHC935RhXZVrubP8/U6WiedNRBNUowPf4y4MqgG+Bduz2SoAMJskm/9aB+//XQLryzbY9Za0QG9LjJcFeLkmHxwvShS966A9loCupKiSkvgsfVynXYe2Mq+pk78YcSXJTvrI+qIUqWCM0O6MjEUgAVWLhce31c0MFLZxtTyP0BHHZ2qj7eDsq52VO+MqB8+3XiAjftbuN71IXdsO5uS3a8x27GOZ7RfM7BxAafZFjO76ml+0/YzbASZZwtTRC1+mOz5N2AjxAfKDOb6fytE3opFzPvD3zj2sUUUB3fwluvXzAgt4SnnIziX/xlN04j1OBiUEWOSUv88fwevLN1NXZufjFg3Tw3dhlfxE0ouYU1I8sPOVZGN+8R6XW0ULfdlc0eP1aOISddtUZF7XG9ob+5OZj+J1GkxOJQgwR1CIm1S40hMl+9rRPtis/6LWvwbPlv4DUvLG9A0OH98DuPiJZ/ZHZT9NzlBrmEvfmpb/WzYsAaA2Mxiulyyl6zYYNXEDe3dnP30Unw7PuAF5+8Z6/8OW6ib42zLZMxAV9+e1j4tiSA2zh6bw8+Ol7xobWUTVZrk/PGBWroDIVbtbuRvyyv5w+fbuO5vqyOt2XtFQ618xhaiyEyKA6C7q4Py2nbGqlsi+oVdLTV8ttJaGxxtYQqo7o5Ia9hdYWptYHNVi6i21v5NwISEAig8Sv44VEglVCzuY3kKRFjh9f3TQf626A9WvwwN3r3KzEF31bZTouzh785f4+w4IKDujLvhqiVcVj6VG/6+lqP//D0VxRfL07/5gxCNtn5sqcpB1OAG+Wnw6WJnqO+n1GyBtXr9OPRMyNSBldqtYXbAmpyzsDlHmmFP391uzixaG9KVtPqcPACOfwRsTqhayzWPvsLRj37DxN9+zd3vrD/o3Osf4/BxxKDMgQMHSExMNH+eP38+2dnZ5s9RUVE0Nx/G4uF/STz88MNceumlXHbZZZSWlvLoo4+SnZ3Nk08++T/91v5Px8b9LaZM2p6sKxwUxfQ9jVfaaPUHIryC42mlsqGT9u4gY/Li+dVJg1EUJUyem4DfLkViFpGbRKC1jvfW7KOquYvMOA8npUQ2aR3djazf28yayiZAJO4hDR5KeJffOJ5jcu0b9ARDbK9u0+0HRDERbiHz6YYq06e+vzAWn96DiQ80dzHjDwu4+Y21vLRkN/d9tNm0nVm+q4HaVj+xHgeTC5P5zalD8DltrKhoNCXqRhHlbt5BlMve53XdDhv5STInRFXEAi2lNnKYY7FaSWVDJ5Nsm/F27heLFIDtn3PMIKuQPnFYZqTncdMe01vWUJmYzd76SFAmik62Vbfxs/eElXDKiCwmZNgYqDPGHUoQZfHDAAQTCtFSylBCAUpalvDZTVO5fIQ34j2fkFLNz6fpCXJMOjEJUijGaG3Utfn5RrcOm1yYhE1V2NfUyUOfy3ubWZJCSozbsiopnivXn/4ZFKNxpvt1D1YqqG9s5JP1VdgJcDR68XXqM7LhqDZ8Ljt3nDkDgCx7M8OyhEH39ZYa/IGgaU90w8BmVM1id+3dvY34kBQfcSmRKiRFZ9O0t7VEsFf3N3exWR8wW7VHNsmUrAFcNmUAH4d0UGbXIikMwPSUB2nSytcjRVdX/ECaPTnm37vt0WTFe/B6paC3hY4QlDGGM+ZOtKzJDNBB02SQYXcrZI2BMZfSnTAw4ulGoWALdfeVE7eGe/hqdOmsl3bcBDyGhDuMCRNukwZUVurJSct+aZKFgzQ1myI9jFur5P0anycclPln7cuq1om1lKZFMmzqdljvAWDwqVbSd7hhiF/cCx/eKM1Qo5HqjgNPvGV/UL9D2DP7VklSNEFXsO5dYQFmOsv136KUCQbM971YE2LGqH2v8PAnFmPJvUMaid/ax/JeSBqabfsOoWTqaoaXT4XvHjOT1U1VLXQHQmha2AyGg0QopPHz9zeiaXDm0Di8TRYAlM8+QhrEuO0kR7uwqQqzSqRg+mRDFVe/too3V+3lqW/KufPt9Uz+3XzOfnoJH6+vIhTSWLC1htdXyLV142y55nfWtlFe1UCOInvQMLUcX6iVtu+FeRrc+plp/RGIyYYCaXSOUzezprLRtNOaWJjEcXmSxPs9qaTEesDupMUma15DlaUGbW6oxV0pTfQN6acCmHaPW6pa2V3fQSCk4XXaOGl4BoUpUXT1hHhvzX7e0MGqY4ekEeO2U5IWzQuXjKVA2cdIZTshTaEmbrhpHZOqCCjz/tr9NLS2c659AQClJ97IXVdfxsbpzxByxpDVuo4vHDfzuvM+EpQ2OryZaIqNTKWedOqZrq7mhuUzYf1bxHocJjte0+CiQXZmOjeLyqB1P8RkElDslKqV3GW3SAAuurna/j4Lttby3OJdtHQFKEqJ4rmLRuNz2vh2Rz0/fWc9q/c0Mu13X7HxyQtlDQJOtS3mCucXaBo0bxLF2hr3eNSRFwBwUefLvPPZ12RUyfXc4CvErXUxZe2djM2RdXn9vmZ218m+PneQFDjbq1vp6gnS1RPkb8v3cPrjC7j3nbVidxrG0u/NGv35+xs599llvLZ8D7TXM+iL87nB/jbJoRqCzhhRyEy/k95R3dLFI19sY02ji2+TZHhsWtsmYpD7IiUl1bQxSqwVNUBn4iBiPQ4UuzRC/V29mpggYAWI8kTfD1vw0WrOlNHXwM5GC6D55g8Cvm98VwZ81u2AtdL8nx8cRpUtwxowOud+OONFKXiDftmvwpQyje3dzHthBS1dAQZlxNCQPhm/5iC6oxLW/g1VC1CjxbGfRP74pb6W5U+FGXfB+Kvgkk9k/kbpiYROf5E9RRfKYza+Q121NM/2NXYS3KAzC8tOFFA82B057NhorhbPBVXl2UXljP3NV5zzzFKqOzQ46xUYdi7v59zFX4Iyl8FdtUIK2l0LhU1+5kumrWTu/OtY4bqKXzpeBGBp6jmc7P8VK7RSvIqfW/fdKMCBL0Vyuz1L+N3rn7NqdwPakj/LXuXR8x4tRKUtm81aDu+trWKrQyc6VC5j/b5mLrV9wrF8SwAbLwfnEDKAp6N+CQPnwuDT5OdYqc+Klb0s3ribaeo6ytjFqXzNRbbP8SldNGs+Ro+bFHHtqfp+WNdQR49uq6J5E8ErOaOdEL8eL2uYMznS9soRLft2gtLK3MFposBZ9QIsfwrl1TOZnCF55sJttaZ9GTEZRHtc9LikTli0Zgvlde0UeWTNtMWkkRnnoSYk76u5Tr7nCQWJlKbFMMsm1/QOe6H5eTOjHbw4bywzUyVHcicPEHLODWvgxvVgczFQ3csgZTfPf7kaZfGjADznOJus5DgWhIYDkN6wAhfdDEjycc0wBY+u8s9Wavh0neS4bbpSpi2ulAZN8quQTjT4qimD+fqxxrCJDbv20R0IsXuJgBxfhUayfl8zlzy/gnkvrGBHTSu3vCk5XCha8sYJiZ3mvrNHS0HTAfp4vzSkctLTSfA5WdegAwmhAAn67IPE7GI0VNp1y9yW6gr5V7/fH5+/g999uoUDLV3st2VYX2TqYDKyC1gVI/vYmEa5XzpjB5jgfkUwkSUhacw9P76GWSUpvHDhcOsYNicOl2VfVpQq5yYq0CR/168nomRvTtFBGWMWU7zdIl9FKZ1Eh4E0ANTvICNOjl/f3k11Q6/+Q0c9PluQ62bKdfHkgp1mvj5YBxUTcwexU5PPXV0u+/eInLAGfVuNpVYGUa6GRyh4cCXhkcb+1WLh44oFdxwupYeByh4mFSZJLQwousJ6tVbIFzZ9FqIvGXzSk7El5MnjGisI6VakakwGKArVDgFD6svXkNEl1+pXoRFcsnUczRcvhIwRqF2NzFLlPvpzVQnN+t6SrdSyvboNAt2kdktOlDJ4BupAYcZfbP+Mkaqe7479ifz7yR3Q3c7U4mRzJlK7J91cj2IC9TgI8PqKPWw50Mqx9kjiUKm6h7+vrDTtpNbvbWK6ugY7sscMV8vZv/k7alv9pmW0MuJ8AMrU3VzyxKcsLW/A67Tx3IQ6XlR/TYLSil0JoW55z7q+dKVMdkYW1YR951NvA6dXGuoQaV9WLddIkzuLNv0eau7sod6p13iNu6haI/nAHwJncIHtQe6qGI5NVZgyVe6lMmU3Ty7YwdYDrQR14KReixGQWa+xfG36NReulDmwXnJxf6vpMNBIFE9/U87ayiaz1ooNNUMwgKYD1e8zjT5Rt41KXa2yl1RavHqtWL/TJNc4bHLtLdtVj6bXEQ8GzqJai2Oflsw9PZfIjKtN70VaqyFkmcHV7/K26xcc3yX3zGLbWMr1ey2he79Z6wI89tV2HAS42v4+tqYKbJ/dybO23+JRuvkmOITf9ZxNjyOazM6t/MnxJ4rVfYQcPhh3pRxAC8Gwcyn5yYvUeAuZH5Q6ZVzTB+Q0LedV5/3E0EanS/ani9qeZanrWr5Urkb54l6umlaAqkhd/9hXco/cNdHLxD2iSlDHXEaFQ+ovR5hbBUCeX67BFnsil7+0klH3fcHk333Nqt26C4gxW2bXN2bze2lzAqCwxyV9sowmub/9rkR8iXItjdaJrSFNwaX08JeoZ/ndyaV8efM07jt5CKNidSKmlozboRIVJfujR+ni2x11JHbLOlBcMgRvgpz3rTstMOy+jzZJPuHUa9KBohhOUZpobGwgLij3rma3VLT2pHxOGZHJbXMGMjInjmG6WqbHJ3lyKo3srmtj435rLe7e+AGP/+Xxg4IXB/TZ0Jo7jiiffIZAdyfltW3MUNdEPHbx2q04/Ja7SlyPRWT1V23EnOkLaOXfmP/f3NHD+X/+gneeuAttgW4lNv4qa65aXA7kTpbn/+NSa9YtiMLl4TLJfXt9htvfWsvU38/nQHMv0mnNZtBzita5j+H3ZUDTblo/vheA3bWNvOj8LUlKC1WeYrjsa5h2O8vaU00nmH1NnZy4rJQee5QQnubfD9/KMRl+nvy7d7nlSDFE6gRSdUX6gbWwTQdPB50KSXpvpm5rJFmzfjsho2cBtO3ViWU6gaNd8fLSNj3HbDtg9QBzJpig1tGa1KlVzV28umyP6cL8Y/zwOGJQJiEhgZ07LRRy9OjROByWZHf79u0kJCT099T/VdHd3c2qVauYM2dOxO/nzJnDd9991+9z/H4/LS0tEf/9GH1jwdYac4Cimlxk/cFjgDKtgGYWNgDj0+AnUwfw+hXj+dvl4y2GUphnasApTPZsJRKU0ToazOFs54zNxlGt2xXpRWoiLfxloVyzY/MS+NM5I7hjbgnTXbLpjmEj3+2spyCwnS2ui/i59x+0dgVYuFWSmQ37mrnq1e+55c21BwVm9je0MlrZwp66lohN582VlXT2BEmPdZsyT6PJYNjzHD0oFaddpTAliod0pvNgVZIxxdjIa/uXBhsR7XboUnuNMaE1APj1xniJIgndFTE62DDifPkuuppIb17L7NIU3A6Vc8ZmRx7UGHKbPxUKZ8n/120XMEBHzkmXpCdaEXb13sZO0mPdXDolH3X/KtSwzZHVrwBgyx6LUnK8/G7LB2TFe4kN1Eccb2ZMFQkh/XfR6dh1QC9WaaeyscOcJ3P04DSGZApA8omuOjp7TLZsmsZMj4HHyL9JxaLYMmLYOTQ5UrArIdi3ik82HCBDqcdGUOamDD494nRkZAkLSg36Oa5QmHlfba7mlaV7qGvzkx7rNouDkD64OCVUR5I+IFeNTo04nt0txWlnewt7m6RxlhztMo+7s7YNu84AKS4qYXRePHu0VDaE8qT5pTNpq8ISgeW75Hux1UmiHZs7FDWpwPy7OzoRRVGI9slrO44ElOloMIGFtbZS3t8nRYjWVCms5i0fyqavOuDEP7FufyujHl1Hp82aG1CjK16AvoOne82LadgriUHA7mPsEGlENdXu5Y0VlXJvbX4/YhB1Q62uavvucWn0Ln/GOpgxB8eIln1SYHc1CziZOsj6m8tQyhxmXe9qhr2rxL/+9fNkMOarp8PHt0YyKJv182MwTpJLzCY9+1f3GfQZEQaDZc93lp99gs7CM5Qy9eUWSz1tqJWg7fveWi+G6XYEddtMH/l+P1JPsO8ck96xdwV0NdFEFBf7b6FGSSRG6WTL4nfFl1/TyKwWppe/8FjTcrB1bz+gTN12UQK9cDwYsv/uNtjwjwiLKEOp0NrVw4qKBtr9kfNpPt90gNV7mvA5bdw5rMtSKgAF+h5UmBIlTY2lf+GevVeQRj2vLtvDhn0txHocXDwxj7F5Cab119Wvfs/sRxYy74UVdHQHmTAgkfPG5eK0qXT1hNi2ZZ2sGYBKiMvivjcLJ5/i51ybNH3tqaWiLEOUgmsrm815DgXJPq4aKfdRbGqu+Z473LJGtNVaLKgtq+ZjV0JUhFJ5aKs0X1L0+Q5bDrSYlmgFyfI5Tx8lzZcHP91CdYufRJ+TR88awep75/DhdZPJTvBya7Qotb4MjcSWmG+yQVOVJh76fCt/nr+DaepakmgCXwpxI05heHYcw2acjnrFfEguxRFoY5jue2+bfjvBFLmXRqnbuMH+LvZAm3kvnjpS3tMZnpX8Yte58NJJsPTP8gFn3cu+RAHwjjPYtiMEPDnX9jVfr1hnFsg/H9HGrKa3+Hzg+5xiW8xbq/Zy2pPfcVTnx0xS19OpOXk2IOv9HepLTFXXmmBFTdIYHJOvw++IY7BawbHLL8BGiGXKEDyXvK3bS3zP+HX3ohBiV107m6paiKWNs21fkuvrIRDSeGL+Dib/7mueeecznqk9j6O+v5rrX12BFjbzJ9xSsaq505xbt2XLJnjuKDLbN9Ck+bih+2oeKHsPptwMioKmaVzz2vec+ZclNLR38/Q35XTrVnvftMmeUqbtMC1ds9PTaNGVMum6Zas3R4gSvihZf3v8YU1MA5Sp38E7322kpUn2WL9mJ6g6TaVMV5u+VoR72fd0yFybNy+SAZ/PHwNrBJR5NTibX4YuRVPtssYNO1sKXWO9K58fBsqU8puPN7O7voOseA8vzhvL/WeO55uQ2CpoC8QGTBipCl9tqWGtTqgxQ7XB+CvpPu1FLnu/hqmvtdAQUwZBPzduO5+PnHfxkP3PaOt0JUrZyZY9mWFh1tEA697Q/34SO2vbeFC3Tlla3sAxf1zEqjoFTnmSl/1T+D5UREhTSOzeh/bdn+R5hUdB2UkEZt/H3pgRuPGTrDQTROWRntO4/MDJrNEK+aDglzRpPqJ0lv/n8WezNCR7m7L+LS598nP8y3UbuNOeNUGe57pmYNcbBu/WyT0U3LOUxpq93GEXAkDwqPuYe/srqNcuhwveheH6mn/yk6KYueo7ujxp2BSNAT3bGKdaLNk77fL97fIOJsZj2VYB2DyyH7Y2N5jzZNSoFHB4zNzaZig0DYa4EbrFZozSwTVT9Uafwfpu2cv1rQ+hEMIfCJlKGMO+yh0rAG6i0sJFE3J58Gj5WYlO55jBaTRo0rDxt9QQQxv37Luap7vv5HSbNF+e6JhNm+bGHvJD/Q5G5MRT5NTz1TiLoEJcjpkbXhqzlIu093D0tLAllM3+nBMYkR3PNi2LA1oCHqWbedn7+frW6dwyxAIJnEqQ79cJEUlpqgAgKr2Iapt8FrVD9vjvgwPQ4gdQ48jAqQSpWv0pD737Lbkd0vgYNutsrpg6AKddZf7WWo565BtqW/0UpkSRM0Dy+GHRreToSoIDtlSyM6Rp51Hk/QwuyObaGYX4cdKpW+Mm6bbAV596FAXJPjqQxlpnvaxHNm+85MtASVo0fzhjGFPG6fObPAnmd5JwzD0ENavDoiYVkZ3gRdV/tQHJSYocdTx38Rgm5kVb59nuwuWWdcVFD0Upel5okGd8Biijz0RQmqhu8ZvN2jiblaNG0Ums2it/rN9OrMeBR68Zd1XJcQOqC2z6Nd16gBOHZZCf5KO1K0AwpHF8WQKedqnBEnMHsVeV+8vVJLXiuPywPoahkjFUE5XLLEvdYI/MiHp0SN9884eEYXc7YCpkimpvmFrO9IEp1mP2SROtNXEYeUddKQDHsHPMP0elCfDk66jE0SH5jytRvt+2aAFOta2f4MFPu+bCnlxEQ3s3v/6uk+AF77FGsawll2kl7NHktXOUairq26mrWI+DAC2al+LCEtSykwA40SYkp+70MaJkjMuVfG7Hl0wtTiJTV6oForPk+7a5UNBIVRpp6hBg4TSffu4GCPltdoI855cfbOQfq/byzfY65tikaR1UhKCYtEVIHKZldNlJNPrkWhzNJgYk+/jkohxmrb8dJdBp5ldZNQvYXt2Gi25z/lBBXg77NLkWAzHZHLs4XwiVn+jfc1u1NdNBJ95sVyLXvS1+uWZC9TvxVck1szhQZjZY7z62lImTZE/MVw/gDHZw+z/W0VonNUw9sSRGufBlyD3vDTRDR4PUWkYEOiWf13sjHZoLh9uyy8rPySWoKdgIodVvR9GBm/sPjKWGBJozpph5KXXbOFCxRf/MuRwzTX7vCTSzT1drTy1KxuOwEexoQtFV768HZvCb4jcoP+9bXgsdxXtByd/4+r6I87FhXzPHKHJtLA4Oom7On7mp8xIqNQFFspVa3l8jn317dStbDrQy2b4Zd7BN8jGdoPBpcAyX9dzKk8ETqR0r5JVj9VxRHXkBHP0AzLgHpt8FJz1OUVosn9wwBfd4sdq+zPUVrzh/S4zSiZY7iV1nL+S+nvMIaQppSiPJoVr47jHytz7D2YO8POv4PW9ot3BZzDKO23q35E2Zo2DkRdRHyXfjCMj6tB3ZU1y6XeM3+1WZrRXS6OgOcumLArKTPV5IHM17zFl7O0LplKRFo2QMB6yZW5o3yVI66HF/8AL8tiiKerZylnsphfo6mqJbse/VksiI85hkTw/dfLy+ihxF/u5ILiQpTd6rrb2W+Vtr2FXXzrur95GjVDOKTYACx/6ekA6UJ3XvJc3Yn41eFJCZX8ojZw0n3udEURTuPraUwZkx3H7GdDkXSg+7KveyUVctn1IAf3E8wvV1v2TppgoAHv96Oyf8aTHr9zYTDGns2C3XuDMqwXTyCHZ3UF7XznQdlKnX9/7vt+wkDkvxHEM7+6prqW3189SbAv4Zc2y7yxehBXQ7473VvKXexU2hF1E66qUnFLZ+AjD7FwKMVy6TuX8r/yp2hq+cJiSyda/D9y+aD/cHgryzeh+VDZ2WDSpAKIT/nesg1MMidQxD3k3k8kapa+zrXoOeLmy7vyVVaaJWi+FncQ+Y4Pqjeo/w1JGZHD80nRZ8fOI9UY676A9CxFTtMPNnFmFaC0L6cIu0adgEr3xBan9PvAAouqoyok8AULeDrgNhlmWGw4UOCFcGE6lD+meh/WuEbKU6IC6H9QmzAdkHPr5uMp9M28PLJcvIio8kW/8YRx5HDMpMnTqVxx577KB/f+yxx5g6depB//6/Jerq6ggGg6SmRjZKU1NTOXDgQL/PeeCBB4iNjTX/C1cI/RhWLNhaa81D0a0OAEspQytOAhG+v5MyFO46tpTxAxKxh6s1OvTE3ZuI5uoflPEEmsyk5+hBaVZinCOLVbzSyscbqrjA9jm/DT3ECaVxXDU2HrVRku8R6nY+WlPJqbbFOJUg5/EJXrr42/I9hEIa9320ifGK+G3e8+4Gtle3Ut/mN611giGNuS1v8ZbrVzyoPUJ1cydoGqEd86lZ9joT1I3cPiuXJ84bidOmsqS8nnveXc8bKyXpOXmEpaCYOziN62cWMsQY5mh4XDZVikLgEDE2P4ECZT/pSgN+zYGiz/4oVirx0ckEv25rNuJCGTwHsPUTHj93JN/dOYui1LBCyt8qLH2AMZdbllUGQxTEx1gvUqKVThw2uGp6AV/ePE1m5OyRZli7ngibioWs0VByrPz/jq9FOWGoJYqFeUXVOqshFJ0uFngIKLO5qtVkn0wrSjZtcgDSYtwyXPPAOmnAO3zizw3SJMrWlSY2J2SPpTpOGlj1mxZS0+pnqEcHghLyLfaEEQ63mSTOypZG2aLtdTz+tWyg188qwrZHAF11qNippCkNJqsdX0rE4ZweOd9d7S1UNXVyvu0LXo59ined95Cy5Fc88PEW0nXZf2zaAJKiXAxI9rEipDMd9CZHOCizoqKBHTVtZPZUAFAwaAwJOVahFRuvK46idVBG6+GwoatKKm3ZnPT8Nq7/YB8tmhcFDRrKqVsm0tiKwgvoThjIbW+uo9UfZEvQuq5rwm0BeoEyPc2R660x3NLuiWHsEEkgkmjk9n+s49rXVqPpFi/7NElg/M36etC0O+K8yMlZA0jhAgjbzZASx2aBPawRdSSgTGcT/HE4PDsT/naWAFKG8mzFs/LZkgbq4J+cH7MZmVwiTY403dO13LKqoLvdalJ0NVvvce8qi6FpNL6MpKthpwXKZIyA5IHiZ9zTbinacsZbw3sPMsemOxDi2D8u4oQ/LRbGP0jj8tO7ImcA6Wyb+cFhDMlJIn6MKM2Oty3lD59vI1S9iaTufbL2FM4mp1gAVm9LecTrsewp8dr+8Ea5T72JMFwYjqx6gbX6jCTAtB/72bsbOOMvSxjxqy+Y98IKk5H0pr6GXjgxj4SGtRHnqUARQLMwJUqK6W8eJLppM2c45XqOpY3XSxbxi/hPeWPMNr67uoTrZxYS5bJTXttOSIOLR8Tx4rFunG37KEyURmRrZSTIdL3y9wjw2Ri0TfJAyJMid6iyk82VNZadWnIUUX4plpRY6z4xWNGBRgv8b9km6/YWR4k5YynfLQXh1upWtuuMT6NIO3VEJqoidoYAp4/OwmlXsamK7K1tNRzVswCApwPHyZBkfR3PsjdRXtfOrrp2Jjh0hULJsWAPs19JKoSrvoPLvhI26dTbcI06D3vuBADOtn3NCFV/7t7l0NHA7NIU3hxfwYM8Kj72cblSNAw/H4acSUfxyebh29VoOPYPaNnjcSk9/Nb1PAohbo1bwOSF58JnPyVz+6s84niCY9WljFM28nOHAP6/DZzDfYHz2ZJyDDZCPON4iNRQDT2aDS1rHMRmYr/gLbpwmcBG05DL8CTlwhkvgGrHveVtfuF7G00TtcwjjicYsfaXPG3/A056eOzrHdS3dfGI5znilTam2DYwZdsDKPqgUgCtdos5t+i5RbvoCWo4CHDe7nugYSf7Sea07l/wXmgyb6wR+1UQi5CP1lWxvKKBi/66nFeXWQrBjw/EELB78YXZOORnZVgDv/VIK5E9LlYHZYIRoIz1Ht/68AP+tlBUbq14yUnwoenqiKZGfR80GLpRqbLONVcSQpG1t70GOuppUuNYEBrGp52lNFy+Gs55HZMiZ4AyG94WqwjFRiihkK+2yJr94GlD9X0tim9UaQYrup3lmlChaZH08Bfb+jAs/YEg1/3te77eUgMofBgte25sqIlB6m5OsX2LvaNacoCioyxyxrZPJb9Z9pQ0DlOHEMqfwV3/kDlFY/MSKE2PoaG9m1+8v4mgbpfaipctmt7U1wkmDD2DFRUNHP/EMubUXMcV3Tfx9uhX+Ovk+fwxeBqtfvleh5SV8QuEQd5tj+bmHUN5Oygqzcu8C/mT88+4NT91USVQMAuO/T0/L3iDF4JHc+LwDO45rpRVur1ScPdSTlEW4lSCaFljcE28SsgcCQOgYIZ1guwuAaLcMYQyRwEwXNkRAco49Rxc0e/d8HD5ZK2JosskluBLlu9Wz8dMZnSvAfG440x72NIYPcdotK7l3PrFXGwT0ow5T1BfgxS9Sf/kKbn88qTBeP215t/nTc6n1Sav3d1Sy3R1Hcmtm8hq30Ca0khAU1nuHEswWc95DD95I5cMB2XAbMgcF/qGS2yyv/0+cCbDchL1Ie8KC4Iy4+mCpB2Rx9QjULedPfUdRHfImp2cM5B2j7Wm9yhOtmpZHDUojYZ0qY17tn1O0+r3UBWNlrhSzpg5np8eW8r7106iMCUKTQOnTeWxs0dgj5f3XBzcxnBF3oM7YzDxSZG1a0ZaGueNzyEzzmM2rwAC2PAk5jIqN95Uymi6R7wrKp4HTh3Cottn8MkNUzh9VBb2FL1pkz7MvI8LykayIsqyt/NllOCy28hOkLUnPkPPSYwcLBiWV9qcOF0CyjgJmPuUaTXn0+3SwmfKNHexZKfkQzGqtd6dMSSO2QN6NXrqd6AoiqmWqaqX6ylk95jHpLUKu03l+llSj7rsKndPcAuJwxmNEpVKUp7MMypzHuCxc0YwN0+BJX+WnK9SahkGHqO7A2gmKYr1b4lyoq0aXjhBhnL/M2HMvyyYZVopXl7QxLFD9M/Q2WTmdfdccQFzJo6BmzbAnF+bh0jIljUiPVRNdLessXFpOplMJ0gOb5d8Yq+rkF+fOhxFgbdW7eX2Dyo4p/NW3mUGgTE/4dqTZ+JKlu+1xFVPSIO1q+S5u2x5xPqcUDiLoM1i0DuHnCx1U5neQNz0PuMHJJKlyn7iSMiRa0rPeUbHCekmS6khs2u77DFTbgEgraucM0ZmEtLgljfXsnjLPqapkuOtKboegBndCxmpbCNVq5UmZfZY3MXTATg7eRfvXjOJ3BX3S16eN4Wq0z8kpCkU9Gxnf+UO4tFVGqqdkpxMPgpN4NnAMdxpu41NNX521bXz3o4eASS1oHXN6qDM0g5RHhjOCSta4uRwHXXE0E4bPm67+Gxml6Zy7YxCLpmUB1HJEJuDisbRro2srWxi1SbJl1ps8dhUhREFmWZ9E6j4DiUge/gaTe+nVK0xrcsaieL6mUVcP7OQtBg395w4xGyetu9eA0Cz5qWaBMZ2/Yk5dTcSSpPcnLrt+KtlTfGlFTB8QIb5ui37pGFbnBbN6Lx4hukzjipCqbTaYrl57mCmFKcyb1I+jwZOE6uwHV9YRAdgffle01runsA8PlYm0xawU60mo6EQpXTxzZrNBJc+Rc3HvwE0LoyXc8ugU+H61Swa/yzX9FxPtz4jzzvhUgFIAFCEwKCqMO02URursu+kxriZPPcciM7AFuySenXUxSjn/4MBWWn8NXQcE/x/4jj//SwtuEEO9+Uv+WXVlcy2raZUreSe7j+i7l8l+9kZL4DdSVdiGJEP2BgzOeLnai2OkTlxvH/tJIZlx9HU0cOFzy1ndXWP9b71HKdcS+f88bnYs0ZFHEONTrHWLkCzubjypl/gmn6z/MIgzAKKvrft1ZLJS/SZ82y8+Fm+q4Fco18Wn48j1rKIvO3Ndfz6w02ENLg1RVdOF8yA2EwUvW9XpOwz936l+GjrDRqzk/QYm5/Ah9dNYeLATNpscu3V7Cs3QZnL0nZiUzScSpCFixewrbqVh77Yxvp9zZz7zFKufe17QnrdnpuVhU9XymjdnfTUV1CgVqGpdhbaBPzLcLQzOTNShrFjxxZ+/eEmoprkeqtMP5oGLQpXqJOPPxOgpmPrV+Sr1TRoUWwYfR/8ZBG4oiKOQ/YYuPxrAWxa98u8rbfmCRhqWAB+dreZz2w90Mqw0GbOsC3g7yv2mH3BruV/xVW1gjbNze0dF6IoCjujx7FPS8SjdeLf9hXZNdID+CI4ijX60rK0vJ4l5fU4bAq3zBnIVbqd8j1NxxGc9QsBrb1JMPF6UfHpwDhgqWTAIpzqqj6Kjpb5uYZ7UXMl4Yoi6rfTU2tZ0nvbdkOwh107BZzZryXS45a1QdXrCH9MHi8s2cMN36fTrrnIUWoo2/YEpcvvZkrFHy1i9I/xg+OIQZk77riDzz//nDPOOIMVK1bQ3NxMc3Mzy5cv57TTTuPLL7/kjjvu+E++139rKL30VZqm9fmdEXfddZf5eZubm6ms7Mdz8P/n0dTRzfd7GsNAmf6UMm14w6zLAEsRA6Jy+PKXsPgRM/HAm4iiqxyMpoTheR1HKz1BjfwkH4UJDqsJqjcEEpVWNA2ut7/DgJovhGkfJtuLUTrZsWkVU1RZvJyhTo6xLWf+1lrOenoJq8sP8JzjDzznfIiEngMc/6fFjLrvSyb97mvW722mqqmDU1UBKo6xraDnq/vhH5ehvnIyv+7+A39z3s9JS88iwxPgrDHZlCh7qFwu0tefTBvAxALLQgzgpmkZFKq6R2bBLP28aZZd1EFibH4C01RpsqxWS3HmyJyZgWolJ9q+wxHqko0ma7TYWwBs+xS3wyZzanZ+DW9eIiz2VS9IczixCEqOD5M8brfsPwpnmXM4bIRYfeck7phbgs+wWdMZ8L5pN8owMCOyxgiz3+aSBnJTheXXmzdFmig97WJpBJLA62BILO3c99EmAiH5vnMSvYwfYNkpnjE6SxqPW3W5ZsEMAVOM0IE6sseBw0NripyjoSG5ZuaV6ZtU7yaDEXrjYICrhcw4D/5AiMaObu6J+YSz110Ku3Xga/BpaIqKUwlSqOpKjqjIeT1un5y7ttYWirTd3Od4npK6zxmulnNW4H3WbN5Ghg7KGEXMmNwEc4YAnY10B0LUtflx0Y1dCVLd0sXXL/3aZLbG5Qwhq2CI+ZrJyVLIR0fLveOk22wIhkdXT5BLnl/Ove9tMOfJfOMvxqYqDM+Op1yT87Bh3UqC+uC6OzdkcsXLK03v6c0BqzHRoEXTo+nqt55I+4n9eysiX1sfbumNisWVKtddllJHqq2FRet3mIPyng/INWzrrJMGqAHsRQzFlCJukcHCbtln+aaGA8Zg2Zd1HQKU2fSuqMQcPgFXhp4NVy+FEx/HnN8y7Gzr2BXfSiNUUeXeA8u/NpxZ/7ezBexp2mMWfIAkhcY8H0MpE25fZgDQGcOlGDH8YkHuudhsud9AiqV+pOPbDjRzc/MD3NTwa/bVNopd2lvzYOkTETOlNH1I5/zgCK6cVoBjqCSAs9VV+DvbqF8lViyLQ4PJSU9lxHB53dhQEy2NNVQ1d/LGO2+jffZTOWDORCnAL/9aLHdUB+z/no7d35uvWaFbKCwtl32gOxji6y01/PKDjdS1+VmgK+ZOG5llrel6oy1JEZVDUUq0NFX0PWauT9bRh9K+oHTzYzIL6YPrSX9hAjeHXmDxdcO4dU4xj55Rxs/3XY7z2Wnw6GD+1n45cbSSh9zPPbq1nqlA0gsuxUh0k0shPh8tKhWnEiSvezshDSa7y0lefK/sQ2BahwE44oWta2uV9V/TNKLr1gBQMGIGt5wqALO3pxGvA7p6QmaDe2CCpHEpBjCtxyWp5ZaVHsDyZ7Br3awJFbBSGyh+/LpFR5GnlZm61dicWH3dyhxNn1BV2Udm3iP/2RzmzK7JtrB5KloIyuej7PueMWvuFuvIERfA9avh6iVw8p9BVYkfcRKdmgA/m5PngsONMvc3YHMxU1nJl+lPcY1fJwkUHiUFBvAn91O85H0UBz0EBx7P/qLziXI5cJ/2JHuSpphzDdZoBWSnyeey5YyhfMYTdGs2tpPL1ON0hVnBTBnIClwUfJtzbF8xU/2emTY5/wP96/mN4zlA48mBaxgWsprb59iluNrilmZHqG4HY375EY9+uU0sy4C77K9Rpu0g6IrlTP89lJNJeqyblq4AH6+X/e+v31oWOev3NdPVE6IsPQa7qlDdFjBtLgBw+CjNSjQtiAC6cRCdKQ3p2BjZX7RwYNVQygDDlHLK9xqzJbxkxnvwRMs+29rcSymTOxFm/ZzWhCFc0H0nx/gfYL9Pir4PlOkEkD1/a7s3EujOmyzNeUNZm1jAplp9VoTLzhidjW5TFWrSZ0Sw8VdrhTx6lli+LNxWyyNfbqfNE4pOrAAApWpJREFUH+D2t9Yy9BefMfCeT/lso6WyfKNrDP4bNnJS96+Z130rj/Scxp7k6XDsg+xoDPLH7QnUqUnQ1UTXK+fAMt2meOotvLFqL8srxOrmoTOH8dK8sSiKfAff7qijsyeI12mjMkoa9AoamtPH/TvzOPOpJWw50IrTG83UEy/hlOOOZ3xJJIO6JC2GXSmzuaD7Ti7h57ThxTHoJLC5SOg5wBQ9b3uOk0FRONDcxaubg4DCvEn5zJuUT1P8IHo0G87OWi7V5zgpIy/kSDwiPHlyb86wrTEtZbuKT7C+phGz+j4nKg4Qy6hkg1iiqxmM2VaGXaC5NxmhqiYJy8ztjYb9EAHzT7J9B2gRM2UA087KZ9hbGft6dBoZcR4mDpGcIIEWBuqzXYKZY/lSncgz3kt5+dq5xObp++CBdQLAGddfb1CmcBZ4k3D1NOFRulkZKuar0EiGZsXqoAwsDMk9nV6rz2EK35+BPOUAN/99NRmaXIvZBYOs5g2wMZRDADuzS1OJHixkpGk933Gv/SUAYoafYj62JC2G96+dxJ3HlPDcxaMpy4gx7Z4SKr/ApQT4PlRI/qCxKIbNnR6KJw6X3cZNRxXTpFmNpg5PBtjsjMyJN5Uy7k59RkGsWGNlJ3itunfwqTDtDpgTyXqPnXs3QU2hR7ORMkDyqWOHpBPndTBhtIAI5nphWHkpNlBteDy6UkbpoTAlWkgSzUZenBLxb7LSzP6mDnPP92oWGW1mvodsr07uMmpLfW8z5sq4NP217e4+80BOGpbJPceV8tQFo0gP6MSHpEJQFG44S76bpGAtJ5bEoHx9H3z2U3j7CguUyR4n9RDA2r8L+LToIfnZEy/A88snW7MLjzRaqiyL2cJZplImr2uL9b0YlpPxeZa6qFc4E6VuyVZqzdmX8Wl5AMRkyb5g1M9dSUMYk5fAdTPlPP7j+7104mbD6N9gP+5Bzh6XS3GJfM+DPXKsup3yHppi9HrQ6UMtPsp6A6X6uSnVG4XbPsOrBhkR1QRAVr6+f+nz8yYlSy1wVqzOys6ZKDWa6kDxt3D/zDiOGZxGWoybMxIriFY60aJSaRn5E7aEsvEo3bzt+oU8N304OH14igWYnt7+OTHz79GJUzY49vfk5heyBvm8jh2fmdZleOLxuOxkpyZzX+AC3qpKwmFTePzcEXjdLnO2pfm9Vul1dk82US47p4+We3RVtUbQZbkxdGVNYPLAVJ69aDS3Hj3Q+i6HiLXktQmi9ijfLft+l1PWzLL0GPYqkhfWr5VatlqLY1VQv+b3r6GrRXLfRi2aGSUp3DxnIEt/OouhWXHUK7I2dO9dI9+bFsuNs4tI8LmobvGzPST3RaBmK14dTM4aMIiStGj2IH+r3iXgc36SjwkFiYzQAeF1FHHvCYPITZQ69PrZRbT7cnkyIPtJ4J2r+eNfX6K+zU/Xtvk4lSC7QqlUaOl8ru/X6Ynx5r1Z1LYC26e3M2n3E5ykfsv4bv1eKz0ePPGkj5xLEKkdo112Yn1uOOGPQnwbcZ5VD/UXNjvM/Y0AzKf/VZ7n8OB22MhN9FFNAhu1fDpGXw0jLwQ0HO0HaPZkszDtErGIVGxwyl/MvcOeMZhQWJ6yN2VmxEvWaHHcOmcgQ7PieP7iMQxI9rG/uYvTnvyOBd0l5uNCmsKgQcM4b1wOicXjIo7hikuPAGWUgpkkJ+rkNdUu61H1JqlV9frjtJkTufOYEpkPBXgUP07Nb13jcdkmAD7A0059ezdfb6lBIcTcoE4Q1N0WDFBmrLoZVdEkvxsQRvjoBcqER5dH3nfDgd3mvLUBTd+af2/fs5afvr3eJB60+gN8u2Enc1VZ/9LGnGySRrVAF2mhWvM1T5ghoMz5Q6M5s8xShwFs3rKJj9dXMVB3hhk9biqNKdLvqV8vtXbUHgG+3w9O5GvP3MjeUHgkFQrpbNa9kDUWUAQkvGa5qE262+Afl0FHAzVrPuM15/383vE0I7WNPLFgB1pLFaHPxaLsKds5PHjpMaz/xdEsvnMmC1V5T23fv8WITiEIfhEaTV2bn8b2bp5cIODnmaOzyYzzUJoWQ5zXQUu3wpqci+HCd+H2nXRP/xl3v7OeO7cMIISKpqjyHo0wlDJGGETomCzzGgFoNeZI1u/A0WS5YNm0IDSUs3ajrAPupFwunhN5nS6oj+UXH2yivDnEIpuusF34WwGwh51rkb9/jB8cRwzKjBgxgr///e8sWLCA8ePHk5CQQEJCAhMmTGDhwoW8/vrrjBw58j/5Xv8tkZSUhM1m66OKqamp6aOeMcLlchETExPx348RGZ09Qc4alUmhTT+vhsICTHZdDB14w6zLgMg5ENs+hcUPw5e/sBJVbyJ2b1zEUxR9M07QN505g1JRqjeKz6o7zpx3Ek8rLrrNRjVbP+kzY2F6YDFFRvMcuDNtFaoCKyoayVMO4FX82AhxgnejOfxO02Dxjjrqy1dTqO43N+rs9Y/DhrcIYmNFqJhOWxRqww746ldcV9bB286f86Lzd/y0qJI755bQO5QDG6SxF50uQ+OS9QS4NkxauPD38M6VET7GY3LjTQuHjd7xkFyChkKy0sK1Tt1WadTFUsQXzJImaP0Oyx7p6/th49vw3Bz49o/yu0nXS4GdMEAay/5m2KR7qRbMlMVdZ0RGaWHN9mBAWP4gw80N6avDK5uFarM+V/Umy8IqNlOafXIm5LlDzjSbANFKJ4GebmLcdh44VQqG0bnxuB3CBD9TT47NmR2G8sY8SZfB6EvNgjOUJRvJCHUHI7JiGOHTi/feTQYjDDZn6wFmlUoROVLZzmXdL6PsXS5NyOxxkFKGoj/WiV5ERkWuK74oWT+6OlrJ0D2Xic+jK1qSv4tSdxKrD3Q2ipjRefFWwd0l3tvF7GGD61I2uC7jS+dtXNH2FwCaS88FVxSOZAt8KMyVpq/PKwmNUwnS2NbLoxsp0OZvreWlJbvp3CHX1LJQCZMKk3jn6om0Rcn52bTwH6TSSDd2VocKWKBb/rkdKtu0LPN4LfjMwdMBf6Tiq6kmEtxO0+QYMbHx0tjRbZFuKq5jjLoFBY1yLZ31+tC5eK1FhjsbzRtD6h/sMQdGfxmSPSnYvN/yQk0ooKa1i6+3VLO9upVuh35eDzVTxrDDmXYbXLkYTn1KruORF4hVzMgL5RozGgaG73B8vpUAForUl51f64O222TmQnerKFR6W2AY4I2hlDEAw456ax3T1zoTgAF5D6qqJ9oKrPu7AC29omrjYo63LeUY2wocn90mXuA6M69z+Qt8u6MOrXE3Ss0mgprCEnU4U4qSBISIy8Gn+DnJ9h3KpvcA+Cw0mvxkH7kZKdQoApiuX7OSO15ewKQ1t6KEAtTlHgeXfCxJr9FkKJWiblrL+xgMnt31HTR1dHOgRRrLz188BkURq8IHP91CMKQxLCuWwmSfdS4GTBfvXkQtU5gSFWErV9qzgXuPKWSmphd/hUfJZwn6YekTxH16DdfOLOLk9CaUln2y7ik2YoMNTFPXUmAA5sPPlQLJiOMeMtdCQJRRioKifycjdM/139meRFn+lKVcirUUt1Ep0syL7qmhszvIjuoWykKy7ucMm86MkYMBBUULMjpFztGayibOt33BT76dKsxe4LxxcpxrcnaT9v658PIpuu99N6x8DoBng8cDCumxboiW86V21PHceUNYfNtUsrv0RonJSjxMGDJ6I1KFecz2L/TGlSY2Uic8ZrIZzYcmJfISx7NXS6LSmA+SOQpOks9T0LhIAJ3h58N5b8I5f4Oio7GF/DgC7ZA7Gdvpz/HMxWNZc+9R5KXGs3vWX/gmKHvE18GR5rBkgLJpp7PlrMW4f/IFHpdlv8uI82SYPPBr+/P81iFAkFYwE02xcbrtG7bFXsfcvTphYM79EeDuEy2TadG82AiR1rOXR7/cTkd3kEsSNzHPLs2Vt7LvNlmN54+X7+mJBTtYtbvRBNj+cMYw3A5Jy2+cXURpuuwV89vCmsruWIpSomnH+lwH3AMEIAMSYvX8VL+XCXSLBZkew9Sd1NdLw7wFL1nxHmJipSnU2WqAMvpaGptN+5hrOabzV3wbGkILUdyX9Fu6T3+F+ztONo9pAPIggOpZL25kLWE5YEopi7bLXjd+QELEDLsBeXms1CQnCGkKjbGDGJoVx69OkvX/sa+2M+MPC3hj5V5adBVYnNfBPceJDdiOmjYqe2JZGyrg69BI/hg8jb9m/4amgWdy/J8W8chXu7i083raNRfuykUCUCUVo5WcwNPfCEvzptnFZCd4SY52MUqfKfHwF3L/laXHYMuzFCUfB8bwzJIDMs9qdBbzb5nO+eNzURSFQRkxxHvle1AUKEqNoiDZx6LQUL5tk3vt9MmD4MTHYPDpdIy/mat6bubJuiHsqmvn6W/KCYQ0xuYnMDgzFlVVOH1cERs1uV6SlRa6VQ8Mshr6hwpFz6kMe9XuhIG4j32AgN1LtzuR2IJxfZ5j1+3Loui0yCF6HhJhAwt97cvAmhXSUSeKS4N4M/oSAIrV/cTQbg3wNRrovrDngfU8vUk1Z4xcDwlKCyPc8jfb0DOYfvdHXHn77+U+N9SoBzZYQIEn3iQRmWFzRLBLf9dzNqAwNDOOganRMrsqNJiQYkOp2yaEhQO6UkZXXecrB9i9ZxdexU8QFXdSHt5U63ysDeYzuzSVMXkJZAw/ii6cxCtt+BQ/3blTYeJ1kafNaefKaQVMKdKB9disiL+/pJwojgC9QBnjOzllRCZ+R5z5a3uS5Asjc+Np10GZGH0IeHxiJFEIEKb1jJ9C2uCIX5cOGcXXo/7M/GEPkZIq18Edc0v4/p6jyM7XG0CNuyWnCeoWbzpA6/ZIE8hUylStkXzHHWuRVfT82Kv4CXS20OYPEOexo/ZYNjX4W638zMh5dJJNRqw0lww7KsXh6TMPRFUVLpsyQCzBjLl7+vqt+BKta7Z+h+UIsP0zK7fIHiegleoQa9lnZwlZzh0HVy+D1CHSsNv4TuQ5DQVlwPfBLGTXvCKNrJwJ0vzVlTLUbhEVtb8NvtX3nP5IEkbEZhPSFQhZek2h6oSutAFDIh4aM0COc8OsIiYWWMS2s8eG7TF683WAXY6V1im5sxJm+6sYa1DmKKtZmzlK7ufuVvj0LnI6NgIKsfmjzfcJMCu1gzF58ZydogO2A6bLPalb7DjrNvHk+aNY+tNZ3F8q97FSPJfshCh+GzibylDY9WswxovnSo4d6IRlUgsx9gpIKcVuU9kYLcqGSYHlxJmgjOx7hhU2wBVTB3D80AyGZcVRbSj9W6uEVKYrljaG8hiRE8fwrDhAQPyKoOWIkDQ4DLAKD735nd+0hDS1iYSQ1J09brn+VFXBHyf9DcfuBYAMV18fknWla88qtlVUANBpjzXnOxnRYpfvU9FZ8nVIrnDiMNl7Pj0g62BP9VbTeSQpeyB2m0pbVJ787JfzXZDs44xR2cyKlu9oxuxjuWC8BTrHuB3cMXcgDwXO4NPgGOxaD+fv/ilPvDuftGqpHbfFyL5pzNMdkORD0a+V6+zvmsd6wPEcHn+tuBbkSc8gPykKn1Pyxcx4jwBbaUPg9gozPzxkDDoFfvKNNWNND9NGEShIEXU2Q8+CoWcRe903TLvyUZSbNsINay2VLZCenGiSEv2aHVv6YNoc1v3jiEtngn4/JficvH3VRE4ZIYqvpyqttbzGlsz9Z45BURRSM/NNFTxAVGJ6ZL/AsF6NTrXey/cvWgRETwJXHDWM4tRosRcFPPhJRAiGms0l51Q/5qjEbvOcXpO3H2fbXrHsMl5HB3cnqOIK0OJIkj3e2PcNC+3+Ql9za/aJQjzRjTkTE6BE2cPK3Y2i0LtqAtOKkznF9q3YcCaXQtYY4vTeqose8x5VPAk4DGJrR71F2NZjz65tBEIhhtj1c5I6iIQhcv+N6vgOf0+A3AYBhxaEhkXkqgDvrdnHxc8vp6ZVJzG5Y4Q0eNkXcE81nPG81PAnPyGOFHuXw9PTmfL9Dabi+Bh1GX9bXsk7j1yLN9TOutAApl9wD1OKkoly2VEUhcpUIcDElb9HKg20ay42u2UvW7arwXT9uWyKfAeqqjA+X64nQz0K8PeVlby6bA+vbw1yafctXBG4jVaXrD1/nr+Dk96oE6AGhABdoBNv1DCCKPBBUOo2rWYL3k7poezR19VQzWYUXVU7oHAgM0eWRpyzCi2dacXJ3HxUMWOOv9z6Q9EcyW1/HCrzT8cRgzIAJ510Ert37+att97igQce4IEHHuCtt95i9+7dnHzyyf+ht/jvDafTyahRo/jiiy8ifv/FF18wceLE/6F39X8/0mM9PHBUkrCVVHskoq4v6HFqB16lt1JGX2A1TYZ1G2Ekt95EnFG9mGF6Mi0zanTrMmPYbt5ks7hLUFrMQYOAePfq7HO/jupfolspdPiyAYXk+hU8e2IydlVhTJT13BvzKnjtsnE8XbqWvzt/Rc3uzTi2SDPyy9BIXgsIayLkSeSCwD2c0f0L9h+lJ4bLnyHl3XPMIvTy9qdRjOIlPHbrG1j6cPnXWEAN/8d9q2D+fTJU/PuXzKcl1H9PmbqbTs3JtvTjpbjSz3+mdkAsuwz/THeMVdTsWSqJptEM7mwQmXZ0ujWY3OG22H/+ZmGh5U6URdcckB6mMKjeIGoXV6wk2Ib0NWu0sFfAQvIrl1nNoqg0WcxPfFwGsV74ngA1YU2A4UkK71872VTIRLsdvHLpOF65dJzYKQT8pm2VYR9khjsWjn9YlAVAVPZQOjUn0Uonv5nuQzGsog6jlKG1ipOGZ6AocHqSXvTnTYFrV8G8z+S8GA0MI3yRBXBUtHwmV6iTREU/d0kDcRfLNXRdis7IdMWazYSx+QkmKBPsaKCquYsx6lYcShA3fgrV/fg1O++n30DsmXoDPjpNlB1g3kNKGEOkqTUyOQmFNP66WM5DFB24agXYWBEqYe6gNBRFYfAwadQebxM1FBmjOGuCNN/mlKVywtAME5Tp0FwkxPjw6/Lz+uaWiNcK6gVzUJG/G3Zv5myyXFmPj42pYIJuvbI0WIpNHyacqLSwsqLeAvZa9wsgU7sFgt20KZblm9K63yziQwkDOP/ZZcx7YSVHPfIN57yoM/wPBso0VVr3Zq95Q4AwUU78k3xX4UoZgJSwZCZrNCHVKU2nxgrdDkVXV+z40roPjQa/7gm9vCWOxvZuud+MhD3QJfOPDCVbOChjAOIDpsHR98v/f3Y3bPs84m27dn5q/n/Grn/Atk8JKnZ6NBue2nXc99wbLPv4RQBWagMZVJCL12mXa1wvyH/neIak9h0ENJW1nglE6Wq5tii5jxZ8+y0zDjxPplJPeSiNWdtP5fUVkjz7A0FeXlLBtmw5p+fY5vOl63Z+bn+RcxqfoH7hU9gIkhnnYUZJCscNkXvQsH88dWSWDDlsr5FmSfpQbLpEu0DdL4CNYTUCqIFO5nkXozbvkXXszBeFFXWO2PCxc740QQzlTcFMmHgtAJPVDaYtmiN7tGWHmDpY1lNDiQeWTFxviI5Qt5NJLZnBffLdjr4Uxl8d0RT0JEpDJIMGKurbWbt6OTFKB37FhStjiKyd+r42Kt7aO063fSNA/uf3wI6vmF2WyvvXTuImt8j2ad4jKr7tn0tBE5WKa8iJxHkdMtDYmyD7A6C015AVqETpbgNnlAWeHy5iMy2AKSrNYlpv/gC2fgQoMOPuvraQiGJ5UfaVTPY/RmpeGMNr6BkwXVdW5U2B4x+R6061wenPSfOlYBac/aoJehr2p4UZiczruY0z/PfybPBY0wrLPHRZGdnp/RBwpt9JVd4p2JUQKUoT9UoCypkvoRz3EKh2nP4GaTrmTJDvb+7vAAgpdr5ThrNVX/fuHaeQHO0iig7uCD4NwDOBY3lwl9wTpenRnDUmm6QoJztr2znrqSVoGswsSeH0UVm8deVEHjtnBEeVpZqs/RU9YfuSOxanXcXus/KizgTr3CXGyZ6hhvTrJEwlAzDCVk68bk3RovnIjPOQkCjXVqBTX6P1hvYflncx7ffz2dvYiVM/v5vqguxJmUGXZlnbbauWAvqbbbWc+Philu1q4Ktuq7m7x57Hou0Cuk8ujGR7D8uK47OgrF/btUwGZEludt64XG6YJWtZbaufjFg3L186llX3zGbl3bO5ZFI+TrvMe/p2R33EMXfXt7OiopGunhDJ0S7OPPlkfhdzt6na3DPoSr7bJZZ9US47546zGpJHD5LXX6PPsxmcGUv2cIsV+3rXeDLjZCbOg6cPI95nnQdVVZikf768RB9uh82ybUIAnhHZcaKqPP05vHN/TnvBMYDCI19s46UlFQBcO8MC/M4Ync0arHuxJudYK/c6XGQMJ4QFhNoHTIa4bOxXf4vzJ/Mj1U1G6Mf2KZ1k2/TzGqff34Z9GUhDM/xnIwxwpa3Gah45fLJHqXa8dDJCt8TR3HFmM8lsjBtWQWFKGQCXMXOGVspsutpBb7iaTHQTlFlv2aaFqVciYvQ8cPjoKjmVPdHDmFqcTKzXgd2m8ujZI7j+uNEoeg7Cpz+V/AJMEsEJ2Z3cNV7OX8CXDnYnydlW00PJHMkT541EVRUUp5edMbJn7E+ZhvP8N2WY+KEiDLTX4vO47847Jc89CChjUxUyMq3mnydFGmiFyVF0K3KO7QixLDk50lL3cHHUiecx59RLIn6nqop1XfS0y/5i1DU6QJysr0XRjhCxHoc5U4G8KRZA7/Sh6e4HBoFu+oBoAeONCAdldDUJDeUQDJCu25e5FcmXbE5PH6VMRBjknHA3B6PW2vl15DwtkJwrPk9qg9Ofkz3cyNXGXy0N0xG66jJ8tqCmwXvXioLm4TL46FaoWCxgC4h98yq9jht1sfwbky5ECS0Er50Fz88Vu1u7x5w31W843LQ7re80hGrmiq6UIhnIrkfWILmmbarCo2cPZ1hWLOeMzYlYp4z6MS0o569UlXMSnx9GvB10Kpz2nCgRjFBV8/4wSCBMvNZSNeh2TQkHvuXNn0wguU6fJZenW0EZgGB1mOp2h96rGXgsWfEeFoRGMKX7j5R0PU/95astcNPmgHPfFMKPYpPzOP1O8zAtudKonaBuJE817NGl1hihA/HZCR6unSHXxdCs2EhQpmYzaEFabbFUE8/o3ASK06Jw2BSaO3vY7Lca9AyYRr+RVARZY1G0II8lvMXxqjDm22KsZnd0pgBTCV2ydh4gGXuWXrNXr2fTFgGG3LHJfdxdjEH2ngapl+q0GDLjPZyiW6X/vULuFVf7PlNRZXzX9hT53PnKAUqV3Qz9/GyS1/2FYbpSJrqgr9XlaSOzmFSYwm3Bq9nlKCJRaeXobfcyLiTKqujBAiQEQlLn5CdbvQnDFaRLc1gAfdEc0zLXpioM1sGyiBkV/eSRPySKdbt2p12V49pdcOrT8p+h8nRFWWubHjkJXjbp5IhyLYOMxBiTSAkwYWhZxPcR53XyyFnD+evFo8kZOo2AXufGZ5dJHQXYbCrlDmsdik3Sex6JRbLODzzWegPGGrH2b5YrTLgCNGymTJK+jiq+JMmb9bXA3VXH4+eNZHZhFNd36wr0IadZe7Bev+arUlN3eVLkfJ/0hCjjjf21n3AnyN6TpEnOcEqSXkvoUarKfnzK8EyGZsXxwsWjuTdjufXZFAW3Rz6Dm25iw9Rsxqw6OupMBa6m18kZSj3JNBGjtQiRLrmEuFGn04WDQWoF9fOfIDFYS5fmYGmojK0HrDp/W3Urt725jgVba3lqYS+7bYjIj3ZrqTxZ8GfaPBnQtBtXqJO9+iyqE52r8IXamBtaBED9xJ8xKj8yz3UXTKRWixElCrBMHU5JttyvTyzYQTCkMSgjJoJENrFQB2V0ULOzO8if9Dmbp43MYp1nHF/0DGP93mZCIY1nFpWz9oCfZo9+XQyYBq4omjq6eXZROe1h68y7wcmENAWlR/ajZs3LCk3WnvpdaxmD9KGS84Zgd7roCiN8zJ0+mRfnjeX6WUUkDj0G8qfJvXvGC+be/2P8c2E//EMiw+v1csopR8bS+t8aN998MxdccAGjR49mwoQJPP300+zZs4crr7zyf/qt/d8Og4EUnxd5Y+pFQ7rbj7fNkLerkngaFgflCyJnHxjJvS8Jt6EaMMIAZWglJdolbJWP9OZbyXFmcRdPG9n6oEFA2Dt6czUw5nJc3/yaaN1fvqv0VLwN66B8PjO7vmLJXTcTvXQN6L1Vd+ViJqYGCVT+CbvaQeLue0h0ShHwKRN5LzCWhvRp5A6byncfVjEwNZoB46bAgfPECqijThqoXU0oDTth0cNynuq2wqQbhHG15m/yYoYU3GiKGYO3vvq19VkWPSzsfLsLlj8FwLvBSWSmCyNGSSmzZlKUnWQlGyANxL3LZWZIfJ40f30pwnLa9okksuHFevJA61i5E60N3B0jFk3htk+m3H+MbOYjLxLgpyjMl9RoVO/UpbOuWClQnXl95bE2O5orBsXfwqvnD8SVFNlgG50X9rkObJDrxpvYP4MzLEoz49kfVUxm+wZKtXJrHslBQRnDo/oAo3IT+PLmaeR99iK0IgyWpDBLrNgsOb8gjYtem1RcbBwgzMAkndGCL1kavatesDymw5iSOQleaYAEoaulnqrmTnPgXW3GTH5dUcY22wBeOPs8i6WgKDDoZAEjDfa6zfpeW1rDmIjAwm217KxtR1VgnLIZFZGfH1ASmTNIkro43QrBSKKdBZP55cxBXDwxj9xEH68s3c3HqwrYo6WwMZRLboKPnmoXaFDX2IzRCl2/r5n4YAOooCQXQ41VhEVFy/khdwKseIaY6uXM8XWCH5aGyigrKoCNEKe0s6N8hwleoIWkeNJtRjYGc6jSfZJtgU5zDsuajiS2VbfhtInKqrrbBS4OPlNmw1v6+5ncJ1HvE8Z1oCde5nA9oKIpQHMgm2HqTkJ7V6F2hjUSKxZZ11jJcZbFFXDdp034Vn7HW1dNJCGx0AKh0odaQGc4izKMDcP4q4Xdt+oF+PhWGLDSLHry6oXNtjRUyngd9HpROYnUUCXH2ZZzm/3vDN22GRT4JDiWWaVhjewhZ6J99ycULcSWUDaPBE4jPtOy4/JklMDWFSR37eJ4fRjsl7k30bzdw51vr6e2VSzIVu1uxOtUeSbtXEZWv0Whso9Cu65cXPYJt9lPYGW6+D5fP6uIj9ZXoWkaJep+zqqbD5/rhUXBDHB4sKcUQ8UCzsjtJDtYKfe1zSmKvR1fwvzfyOMHzDCLGAYeIw2w5kphxhrs2KwxkD0Wvv0jk20biEJXHiQVwdAzBewYeZH8rugo+Tkmy2qYhillJhrWXpmjBBzuHQarValnc107zduFPNAQO5h04zuOSoX2WsqiOwAXCbQwVNHXLS0k1nOXf81QGmGPZRvAujesmSJDz+T3s0ehKGEWrtFp0ohqqbJmEmWM6KNqOWTkTZZiccR58v/OaMviqOQ4C6jqJx48fSjr9zWbLEMzpt8hLMeE/Mj34oqG8/9x0OOlxbhxu9ys8JeQHO0i2n2ERYKiYD/5T3zz0A6m2tbzXto1zHNFC8O/7CSxMPG3iAWnqkLRbDjlKVRXDC9ETyJx/lewYxsTo2tYeNtl9Hx4O+51NTR7svlD45n49aGjpWkxJEW5eP2KCZz/7DJTDXbJpDxAQACjGTEiJ46XluxmbSiMoWjYucYmYbjBunIs+8LkePm7IyRrdHOjOM13aQ5capAUrYHb7OL/vlPLIDPeQ7pXJw74m6lt9RNdX4Eb2NgRS12oG1WB+08ZzG1vrWNPQ4dpT2HE9upW9tR3cOmLK+gJagzPjmPa8DPhC1k7Xy33sbJR2OJTwiz2AIZnx3FzcAYFyn4+C41mXIZFxLhxdhEep40DzV3cOLuIOK8z4rmFyVFsqmrhy82yJsa47bR0Bdjd0MHKCmk6zS5N4bxxuXSNvJY/Puuic+86VqwvIq2yAhCFgWm9iiiv7//YsqgblBFDcVEWn/tOgM4mZh1zOs+MH4Db0f/9MXdwGh+uq2KsnpsUJlvNTkNREx4nDsvgm221vL9WmlRHlaUyNewcJficKNljYd8nALjGXtzv6/YbTh/NMYXEt0gOqRrNz4PlOWCuX9F0MsDRBAEsgMCwL4ODq4oTC2Q/q9ls5Z3xuZIHJRZC7RYmqaI6MVTFgAXmtOv7orHPGY/R83qX0oPLrwMk4aQH82dFgHpDNd3busyI5IFwRwVu1c5iDeyq9b0cVabvdXn3wnNH6eAyct7SxdYsyb+XU+Okwe/KkPwqOdsCz849+STsdquBWHDJM1Rt+YaMMadEzuo6WITNHFPGX0OUR8/dDgLKAKSnZYCOKSj696OqCk5vNMb2BRAd178N1g8Ou0u+n9YqAcGMukHPM6P1wc35cfr9tUtyjvDh0QBKdCrUt5JME7tIZ2quG3aGPSAclEkuEZBCH3yeESvXq6GUUZ1eixjV0E+jzbCDDs/Zk4pEAWMMck4fLp+lcpnk5cY9W3YSnPIUvH251D/jdKCk5Dj49E6pqdrr5Fpe/gysfU3+3tMBK56R/xSb5A8DjxXShDs2cj7A4FNhyeNyD4HUM+e+EeYk0H/0xGRDndwzbc4kYoy8weGm3pFGck8VXYoLd6qVk6ZEu3nv2sl9D6ZfO9GdMlsiRWkipCnkloWpZxUlcpaBEaUnwPKn9fM6UAaxG1E8Fz66Rc7r7m+lLrZ7LKCt9zyE5r2Smyg2yJuE22EjJdpFTauf6OgYEjN7rWOqKiz3YefINRgGGmcVDWPn+nQK1CqudH4MIUylzGmjMmlo9zN3cDoeXUkwNCuOA5q+frVUgW5zvq5HCJyTixJx2W0MTItmw74Wdms6KOZLicj7+8SI82Dvcsa2fQ2KDLOvybBA/5ziYRCGSanxOVx0wlFUPxtHKk0MafoSVEhMTu9z6B5PMrSDu1u3ndNiGRfvIdHnpCDZx85ajU5nDJ6g1Do99igc+hqdlDMIdkG+UsXPXK/j2LcW9un1vN1t1ZARp1vhxXlj6QmGcLeOwP/4BMYie40fF2nDZsGC5ebjByT5oD3P/LlNc3N9z7X81fkH+YWh2NBjZG48y3Y1UJASWff/KzEwTdaLwuQobKpymEdbkZPg5b1QISfalrA+lE9BvBdXShE0SF05dmhpv8+bWZLKzJJUeGE8VCwyrbmNqIsZBA0r8WsOUpN0EOXSz6WX4QsH+mZCbI6sGf+4VH4Xvrfp1lSqolkKV2NPNawi22qYUZzMjM2/gDXbpKaYfpd1jF7W3kGffo2VHm/1pQ4S3iR5L2nItTdLt/8lcxTsW0WpupcYl8qNs6UWUPZ/j612k1xbQ8/UP4OlejT6G3gTwkCZemu/Sx4INZvIUOoY7zsAQUTJ4/CgODws9s1hdvtHpC75FQBLQmV04WJXXTv+QBBVUbjljbV06zMg31hZyc1HFUfkgiCzo3/94SZeXrqbYMjOM8q9LCz7kOXb93Nb9xWsjLmN+O4Gvi77GG+5n2BiMTOO7tsjH5qdyBfB0Zxrl/7OppgpFKdGs2BrLev2Coh27JDIe3qCTkBeWdEoJMalFdS0+smK9/DAqUO4+Y01fLiuitWVTaTEuGjqkF7IaqWMGVTA4NNp7uzhvGeXsXF/Cz0+F1chSq81WiF7tSRy9B7pLi2dHaFMsIFn7YskKw20KDHEDJTenTsuDWqbAMgtGmq9SbsTLrL6FT/GvxZHDMq89NJLh38QcOGFF/7Tb+a/FWeddRb19fX86le/oqqqisGDB/Pxxx+Tm3sQRtWPcWRhzmwoivy9XsilOvz4DKVMdLoMZA90yiD7b/RNefh5MkAxqIM33kQ8dk/k8UylTBunjMwU5nP1egF6io42B3jZlRDn5jRBpFMdOLz4xs8j+M392HTmWEzZUdA2RFhJG98mecZd0BxWFfR0wDs/wR4QgKgwtAu6oFNz0pIzm+DOdt7uHE5huRzvmCGiLGDOfaJICfjh3L/L/797pfgvGtFWI829hp3CKCw7WX5vgDJ7lslw2vL5wgj3xAtr7/uX9AauWCVFT7mSEybrhXJqmVVIGgwLI3ImyNyWPUut4jxnHJz5srAUjQ3ciKQic9i3KYWE/gek68PhTUsbm6OPTYOplDES7zAP1f5CcceBvwVX4BD2UgD7dIZ75qjDyicVRSGzbAKs2AD7vhflAhwBKCPMsYJEL+zVE9ZwljxEFNN9ziUQGydJhZcuSynjS7LY9wbIEF6UKwqZ6emwFwLtjexv6iJBV4ol5g0lO/ccjs+KIy22l1fqyU8II89gF9nsBLBhJ0hLWyQo8+xiKWAvnphPyZrXIAjfhQYzJi+BpCi92E7qdW/nTkRRFAbojafBmTG042Ga/2E0FE5N8BCqc0MAGppb0Gq2sHvDtzy8azBP6MoYNbUsApRRjKZ2js5SPbAeAwpZEirlgbICtE02FC1I+551ke+nqdJUlm0JZeHHSaMWJf66LdLsf36LFF3zJucT73XwxCc6kzzQJVY/vRsmhnXZ0DM4bPSeVxNWnL23Zj+xoQKGqTtp3bnMsqgzXtu4BsdcaoIy3TipIQ6trp1LXljBWxn5OIz5RbqirrG9G5RY4uPz5Bjh35GiwNG/EevGpt2w+iUYcxnBup3kBPfQo9m4ovsm7kv4jKMye3hw/fFMsG3hONtyc6bG4uAgXg4exaKSsGs5bTD+i7/g9KdXsCEoReo5SVbzMTl/CGyFU2yLSFZa0DzxXH7RPOo+38nT35Tz0BeWJWNHd4jz9hxPFDP547BK9u/cAF3NXGD/kivtH/CBfTwwhuLUaK4trOfU3fcJk8sYQTPifLGTAhOQGhtdb61/+VMFeNnxpWWNE2ZLAAjYvO7voqQ0QZnRkDMBzeYiPSiFRggVNWGAfK+Fs63mz9CzYO3rkUqqjBFoikoGDaa9JAOm02/o82XSlQZeLK9nUN1qUMGVH7a2RKVAtfhCQzyT1fWoiibvxekTUsMzM6UBCmL/V7MRNr5r7adDzxaGc3hEZ0jjo3W/RYwwmiRHGrN/KevuiAtkzS+YYQGLk2865FMz4jzmXIA+kVTY/+8PEYqiUJgSxZrKJmkC/IBIjovmJPe9qG37OCnMskoKw4S+Txh2NgCDAQpHwI7XoWYL3roNsP55AKom3Yf/QwsYMizJClOiePPKCVz+0koy4jx9FCQAI7KlAVtFAnXEkUSTWZQmJCaB3rdOKx5rPifVAGW0bvyBIAvWbuMkoMUWR0pSCtRsJEVpojyUxiOB03k2zktaSO5tn9bJs4vLuaFBWI0ZucW8e+wkErxOshM8/OrDTbR2BVi4Te6jnAQvexo62FrdylurKukJaozOjeeVy8bhVjVC3yYRam/go/pUurUQGbHuPt9JWqyb6JhY7m6RRsO8DMtqSlEUrpx2cMuM4lQBZQx7lMlFSXy8/gCVDR0s2yX37Ohc+d7cDhsXnn8xsx5aSOv+Vtbtl/3z/PGReX9uoo+StGi26IzKIVmxKIrCnNteOej7CI/jhqSTeqXbbP6UZcRgUxV8ThsnDc/o8/ijB6Xy03dUugMhnHaVnx1X1ucxI6adRP2rD7NHzWZ4ST9N1EOEN38crNWJPbmTDv1gMEGZKDpJQ18vDYJIuH3ZwXKlcLWK8TxDrZJcArVbmOncKE3R8Nwv3L4sFLKUMoY61OmTBk5AryF8yX1nbDh9spbv/tZi6scfoq7T9/qDwrbZY6XBu1YnTKUOtixcGnfLmg/SSDc+Z2wO2BzYw5rfAO74dNInnHXw99I7HB7ZVxorLCUGHBKUMZtXEAGaeaNjI0CZPjZ0/0rE5Upe3LTbIlXp6ksDpLGFuqUG2qMrrPN7KQmiUqF+h6ilNRif2UvBFQ7KuGNFCb/jS9j2KRlp0nMwQBkcHgvA2LNEFCvh9UB/swUNIouRg+VPhXFXynzTMZdGvpehZ0iO5Yyyvou4HAHrqtaKOjdhAHymNzvn3CdA/qoXBIxo2SfX07q/y9+HnWMR3YzHj7xQaq66bTD55kPPz9DDnpQPdVIDdXsja6pQQiFUV9EeX4b7SMgWMVmg2FBD3UxVRRW0T00nOybu8M/NmSj3QGsVnPJk5PyG2CxZHw6shy9+rj9+nAXmmaCMXg/s1uvJtCHmupSd4KWm1U9Z+iFs5GP6rrNDMmP5c+AkHnL+hdyQruDzyvfnstu4dmZkbTM8O46XdaVMoHkfdl1xuiGUy+TCJEblWtZnG/a1sDd6GHS+D2UnHrr+HHQKfHInBDqpULK4pedKbo2xvv/EnEERD0/JLmJIdjy7Co+Hna8wSFccpKb1cmQAtKg0jCUboEmNI9HnRFEUTh2Zxe8/28qmnlRGqVJ3qgn55nvNLxkKC2XIu51K6ac4o8UhI2PEQYFkm6pgU22QkI9/zoO4PpV6f3fMKAakJOK0qWbjOz8pCpzWevylMoEVzrF0TrkLT8OWSGUI8JOpA0iOcvW7b/6zcVRZKhdPzGN2OMnsCCLe6+Ad+zH4e5x8HhzNR/EeotOLQDcyccQe5j2Ou1JA4iGRdWRP6jBogFpiSTcUQf3lmqoK026XAfRGjyAc3A5bQ7IMMrLh0mH0IQKdAviueVW+39Oei+xR9CKz2g73mcLfnn7PpSlCvhnUrvdHxl0F712DJ9jFwsvziU/UP6NhMVh2svV5DdtLpZs4RVcUeuLD5tQ1mHuXkjYUajaRqdRzRnYzVGCtH8C2/AuZuf5jbMi5+k4ZQazHQXNnDztr2vlyczXr9zUT63EQ5bKzr6mTd9fsMy2gjfhw3X5e+K4CkNlGDf4Yrui8jiXd9SRFOVEGzoX1b5JULu4+ttGX9Hv/D8mK5a+hsZzL1wQ1hfr0aZSFqxOBYwZHrtuFKVEkRbmoa/Pz8pLd5tyZG2YV4bSrjMiJF1BmTyNJUdb9eUvz6Sy55Gp6Msdz0XPL2bhf7vfFnblc5YRVoWJcLg/loQxykGulXEtnlyL5WlSP5NMbUk9korE2+5It157efY4f498WRwzKXHzxxURFRWG329H6GRoMUkD9XwBlAK6++mquvvrq/+m38f9WGEqZ3o0UfRFNdXbiMWbKRKUIABDsFg/f3YslkZ9xt9htbNHtV7wJqGqvy1T3vUxS27ntqGJY+Yz8PmeCxSxwxYC/haPjqwSUMRgGIL693gT2OvLI7SmnEzeenHFW0l+3TRZ/gzVsMMHKRdnxvjKD40MLUBWNr0PDGV+Sw5c7N7OnoYOqZikYzQ3fmyCDjRVVmlVxubD6ZSka43KlkFnzmsXoKjvJBJXIGmO99ie3y+9GXSRswI9ugfn3CyMpFICcCRx/9FzrHBkWaIlFfQtxo/lft9UCWww2WD8gQgTzvvAQoIymWbZNve3DwqM3uzH6MMmRJ06+u4P5Mhth2A4dyns5PHTGI1s+lOvQ5uxrPWaEkeQbdgh1W4V97vBKwRXx2DAv8F7WZQBO3bPdi5+EcFAmYYAU1YZ6rNd7GZCTDXvB4W/iQHMnw3R5r+pL5LZJh2Bm9ZJ79ygu7FoHbe0WKLO5qoVvd9SjKjBvch6eLZuhHb4NDYpMFBIGIIPtNbmmjWtJj5K0GBQFNE1eMzvei2YXUKappYXdL11JXttqUnquwOfQ14Le14MBysSky+s1lKMAta4cSrKLmFycIuepvYb0rp2RHZXmSqiRxGG7bid0QIs3hx5qip2PKx04bAoXT8xje02r6bcOiC+4PUG8wFc9D9+/LI1tmzOSzXiw6OW5e+pb9Uys2sotc4p5f+0+hoQKgc8J7l0J9h7z/RmJLFFpYu2hKw0qQsmgqMS6HaytbOIzxYfBV1rRnctvnviWNZVN+Jx2Fp/0c+L2fAUlx9PRHcDjsAkw7PTBlFvhk9tkJtXw82hY9Q7JyLygFqL4hf8c3MOH0LV+FdVJE0DLgpa97NWSuK7nOgamx/dpnLtzR2PP8INu8xPub21PEUA5Wb++ldITwO7krmNK8Dhs/PGr7RQk+/jpsaVc9er3dAdCtOHFOfoCPu8oZ9H2OtrxcKX9A44pvw+2l0BCPjfV3ouqNqKpTpT8KTDhamtWD1iAVOVy2L9G/n/gsXJOzVAODsps+dBaizNHCesqZ5zJ8G33ZhFtJKnhnv8xGXDNsshjOn1SJBxYb850OCgoo7PB3UoP7y1Zz7lO2XviB4ato1FyH2baZZ+aZtMtVIrnSsH3+jmiBqtqkt+f/hy8cjq06FY/qUP6zAuQ19bv79ptYaDMqL6PO1REp8LYMG/h0hMFlMmfdliG738iigxQJjnq8A/uFaMGJPPB2h7K0n9g49JYx/Z/D29eLOqlQaeSNeZ4lI8+w0ibS8NAh+wEL5/eOLXvsfTITfQS73XQ2NHDHk8pSZ1LzHwqJyMDNkEIBXeWtQfF6TNlXEqAxeX1fLdxJycBdl8CZI6Amo20aW6u6LmZFnzi196u2wwpHbyzZDN3qbJenj5rIsOz48xjF6VE8f2eJubrM3CmD0zm1WV7aO0K8PJSaRZdMCHXVJGoF73P3xesZu9qaW5NLkrqoxQBsTD7fJMgTIMyjvy8F+vAR09QTu64/ES+3FRDdzBk2o+NCVPTpkS7uX1uCT97d4P+t3gTPAmPOYPS2HKgFZddjVC6HEkoihLxmlnxXl6eN5Z4n7MPCxPEhvXoQWl8sHY/V04dQI7RtAiLocUFLD5nKcnRHpQfaN/iyhsHa1+SXPBwuRaY+29xVAfeTp2wYKx14XZlB1MjG/nQgfVCDgILGNFJCoWhCvk5vHlq2pfViZWu0XgyQBlFkXzKsETrnTcYcdpz8Pwxlrr7YPZlRxqzfwGbPxTlX9pQWasNpUbjLvl/g+Ftd8o+oNp+mNLwYHHq031/Fw7KKKqAA+bfwpp5YarzuLh4qAk7Rrji6V+N+FyoXCq1jPF9Gg1cA5wJdMueHOiU77O3NaZedyQrTWQneMjwBiL/3t1m1RmuGDnfO76ELR+SXiJqFY9hgWR3S41n90guXbvFulbaLfubiFwtvMYBUXvGZsJxf+j/M+s2yBFRcryAMiueFXAnFBCSxoRr5do1LK0qFsMbF1kEEUNta4SiyPk5UvtQPXyphWaDWImNrB1SCkdD9SISBx6iLgsPm11U4Y0V3OkUVWV9VKFJjjrscy/7Qmza+gOTio+RtcEg0RnqPbDWjvodokzdI4phw8oYIDfBy6rdjQzKOAQo00/kJfr43DmDD4OrOd6m52rh90uvSIt10+FOhiC01+3FEWjHi8yTufMYq96aNymfhvZuzps5GWxH9yWl9g53LEy9FTa9R9P4h5m+0cZJw8O+r9hsehQnDk1AxsIiuXbzp10AOy1igC1cRWH8zpilpEfQY+23p4zI5I9fbWdnKINRqvRqbIl55mOjUgrowY5D0e+9gcfCsb+XHkPpiYf+THrEjLuAyo2fk135Ad5RZ2G3qQxI9pkEh/wkH9is15xy+jV8nDEJT8LR/R4vzutk3uSD7DP/ZLgdNn5x4qDDP7BXKIpCekIMr1XNwmlTSY5yWXugzdkXLO8dB1Gb2Ipn8Y8Nk1ljG8yv+8kPImLkBTLTsrNJ9sdwUoNqI2Rzowa7yDHt+fQ91emz1Ouf68q16T+F/CkRh8fppdOTjqezSn/6Ed3xEvq1l6o0kEktMW3lonArmg0pJVC1lvjW7UCJ7AXrdbLjuJ9Yx9AJ2C56LKVMuH1Zd5s5J4z0YbDudUq8LcQE9Ps53cqD0wYM5su1I5ljk5pmd8IkBrqjWV7RwLJd9SbA8csTB1Hf3s2vP9zES9/t5tyxORE56lurpH66anoBw7LiuPKVVaad2ODMWJTSE63PYnOZRK3ekRTloiJ6NH9tn0ullkxqeiZFqVbuWZIW3adeURSFCQWJfLB2P/d9JOrtwpQo047QsDdevaeJ+DAVeUPAzfJQCR9/vIU1lU3EeR08eNpQ7njLzuX+m9mmDOCyaQMoX5DOdKSO3BVKIyp7kEliD2kKXcPC9iajN+iK6bev9WP8e+KIs/vS0lKcTicXXnghCxcupLGxsc9/DQ0Nhz/Qj/H/bhiy8D5KGSmysz093DhFT9qdUdaGsU6SPgpmSiIcPpjNm9iX1aUn04oWwB5osxjR4Y02A1k3GnMjzrOsm/QmUU3ccAB2+HQWiC/Reu+VyyxGVfimEZ3O25m38mDgLFo0D88H5jImLwGPw0YgpNHZIzMQIhJGu8uysFJVOO8tuGa5DJIbcgagWQqTcEacOxauWABD9UXeGS3N1REXSOO/s9ECjiZeH3mOBh4Lx/weznqlL2rvS7RmUZjKlsjmekQY4EVcTqQs2xieatiX1e8Q2wi7+9BNvdgs+SxGRKcf/LFgNQI6m+RfTYPv/iSKqvAwkvysI2woGoVVk+49Hp938EI6zL4MsBh/maP6emiGN2uj+mmC6DJjr9JlDuTDlyzfU5bFeO496LVsgDQXvFo7VY1tJKCDiP2xag4RQb1Qbm+zlEfPLSrnRPU75hV1keVoI7FdEpYVDDI99uW9eywLr/RhfbztfS57BBM6K96DqjPl9tY04GwVYPTGqK/kAc6oCO9083dGhBVjyYNn8fKl43A7bCh6UlCms8aMCDXuMdkc20NZxHkdlgUBUGNPJ4iNE4ZlkBbrpjQ9hgB2OjR9bTDmL2x+X4DPqjUyI2vG3WbS3dkdpN3fq2lgvnevCcoFUdnYncoTC3bw/tr97KxtZ60ma1d0w0a0WkmynglYkn1/yhC5BjPFjmi3JoOCHztHfp5fa53vu5fbWb2nCU2DNn+ABco4OPnPPL6okrJ7P2P8A19x9aureG/NPrqGni/nue0AfHwb9k1vA7A+SgrihvZuFm4Txszg7AQ46peQPY5/FP+eRmI4flj/9+iYPKsQCffC7dPkGCRMYkVRuOmoYhbeNp2Pb5jCrNJUc24EwNDMOPIS5TgPBs7im+AQ7MFOePU0eG4OalcjZIxEuX0nXPB2JCAT/roddaL8iMkUJlZSkQlqkDWmL/hsANc1m6zjGEXWgBnmwwyw6UhDCZ/1Y8xV6C/sLrpcsh+WqJUUq/v054etB/p7dvtryYxxMlXVVWKFs6Ugmve5NIAAhp0rjaghYXvpQYoFsymy+BGLofpDQZneMeR0sVw588V/7Tj/ZJw1Jpvh2XGcPirr8A/uFb88cRDPXjiaub1Ya4cNo/HXWiXN2rhcOOZ3RLnsFOjFVozbTkZvNeMhQlEU0+++PkVX7ugKhdw8Ib8Ek0otKz5AsVvHv/rF72hvlrw8Ji4RRs8jlDmGm0I3sEPLwqYqpEa7zGsrRWkmt0ea2S1KDCMKI8+fMXfAsFwrTIkiTwcRGjt68DltzCkLO2+pgzjmhDOJ1psN5hDzXjFMB37SYtwkR7v6fUx/UZwSuf/kJfnISrDA4+RoF9lhPwOcOzbHLGYvmdR/w+fk4Rl4nTZmlqSYs4r+lZhYmGQqpPqL+04azLMXjjatPfqLySVZDMzs24g7bAw+XUDbgzWYe4e+pyfpMw1wxVg5+JHYl6WUAYrsNXt1kNewWendaD6YUsbIs7xJkQztcCWIobjuHTHpcNEHQsSCvqSZHxrRaTLvMHuc2KyoaqRKqKTXjB+nt/9ZPf+uCG/+uWMj83tv/6BMUkKv6+bfrZQBUQ4FdGDEqLUM9nZHHSzVZx3mT+1bk+h7c4rSJIpBf6SKm65mizTnioaBxwEK7FtFhiqEFpfOiMbhlmsmW987KxZbxzHy9uQSi/wGkURCRe2rfj+SKNEbrlVr5f1mj5dZg70/a95kqesKZ8t9mXqQ6/gHhi0hz/z/uNS8iL8pk28UBc7U2478gKPngaKSotsRhZJ/QCM7Ou3g6p6BcyN/DifM+JIsl4UNb1tKmRxLtXrplHxOG5nFeeN/GNiqqgpTipL5ac+l+L16PttffRYW0cmyhvgOLMNbI9LspJKJpr0oQFFqNE9dMFp+lzYkUhl0sJh6K1y5iOHDx/Dn80aSEDaXDFWlO9ZaW2PS9LUma2wkUa+fus+dEKlsUMPy3Iw4D29fNZGp4bOTw+3CbXZa3GH7/firBWSd/YsjV04rCtmXvATXLCdrqjR0jRku0S67sPlTymRdTx9GYtksmZP1fyRy9FwiM94jinMj54vL/aeHm4/MT+Uu7Voqc087/INB6kNfYr8OI4o+p2xmmi6LDFeShtc8oy6Ra7Cf6Imz9raoHwTKyLWZrjQwyaErczNGyH5lWN8d2CAq2I/1dWj4+ZHXln7v9Jkp4461Zq0aYLYOwMR17UPdu0yfnXyueaiyjBj+EjiBoKawIZSHN62I4jRZ8x/5YhudPUEGZcRw0vAMTh+VhcdhY2t1K9/ttGzFq5o7WbxDXu/sMdnMLk0hLca6v4dmxgpR2XDz6T0qoFcMykrgV4ELeT54DPlJPorClDLHDem/xjasVJ12lbNGZ/PivLFmTjooIwanTaW+vZvPNkrOZNQXLy/ZzRsrJYd78rxRzBmUxtMXjWG1dyJzJ41mTH485Zr1mvttGQwoLsOvSa7+TWgoA0vDZggZa2ViwT99rf8Yh48jrjY2btzIRx99RGdnJ1OnTmX06NE8+eSTtLQcxIf/x/j/X9TpIEZviyO9qW7rbmFoqt7AdvqsAstQaxjNr+K5UvzZnNJIDCsgAjaPHE9vbFO/01JnhEtfDcDHUMckDxRZMchAKiBz7q2s84zFe9RPrecZ4MSGt8WyTHUIk8lQ64y9guKMRP4SPJGh/mdZqZWQk+AlL6whObs0pV82qBlOr7wfRYFZPxcQA2Rjz5kY+djoNDj1KQFxrvxGCk67C857U5LsM1+SIfMlkbJfVFX8jlMOoqDICQNhbE4LeOkv0ofBWa/COX+PXIyNQtRgsBkeyFljDl2UKkrk+zqMfZnZCDDmIlQsErbHPy6z1DEdDZEM9yOJ5JKIGSuH9Fk3B4ceEBWFUdyFFQtmHMa+zBjw6sVPUrhSBqxCEvqAMkU51nE37aokTjFAmR/WqAmp8pk7O8Q+q6a1i4517/OY83HurL5Frn2gPb6UR+fN7mstZACXva9VPcKZztkJXmz6592yt4YEHYTK9OvWgFGpfRlG4cVyuMornFGns8RGufZFPLW+Yr05qHW7lsnMkpQIUGaTX87zpTr7KinKRWqMizb0z2gU/saaUnoC3LINJt8ox2/zM+fRhUz7/QLaegEzm/a38Of5O+jWk9qKUCp+nIQ0uPVNYaNU2dJp1rw4ND9KKECjFsW30XMJ6FvxV036dabL0jdpeZw4LINx+QnYVIXVXXKvBBzR7AhlkB7r5rSRcp2s3C3F8z++l3NS3eLn4/UHuOH1NYz+7SIeCehJ/+qXiW+W5nvngDlk6t/vh+uEgTQ0K06a6pd+zjVnn8xrl4/jiin93xvhjPAIlk90ugWueZN6KVXEIshllyT7iqkDOGdsNjfMKiLW6yBXb/KGULlau43QaN0+pKNOAK9zXrcA4d4RnS5FnzMapt0hKkVfoqw5RUfJYwad3Pd5iYWR7J9wtV2YusWTcQhFWn8RDsLkTTrkLAFnvHyPj2YukF8kFUNU2Hsy1sm2ak5IrSNZaSFg91p7lt0JR98Pd1TASY/L74bqdjmKrX//d4DRlwohItAps5Ci0g6uGDzSUBQoPvrw7MH/UIzOS+DdayYxKveHv36Cz8nsstQf5DcOyPVjrMUxWdIY1tf/IXoTpyQ95tC5QT9xzYxCZpWkUHbiTXDRh5YdXOZIOPkvOM54LvIJYaCMEvQTq9tAiFJmFOrlX9KcKblWeqxbCrzYLEgsxE6Qs+2iCNb6mZ9V2MtuITvBazZdQDyxDU9+I+K8Tp48fxTXzSzsY89gxNGDUnE7VI4behiCRq8If20QFrUB6oKAxr3Pt01VeGneWN68ckIfD28jBiRHseSuWfzx7BE/6P38sxHrdTC7LLWvteC/IxxuOOZ3B1fp9Q5j3TbmooXnIUdiX+aKsuwtDKZ7uH1ZeIQTcoycvavZUsP0zg3Dm0wHU8qAEEeu/EaA6vBc95+NwaeKz7+h+EkM++xDzvzXj/9DIlyt1BtcMdYfX3IEUOT29lKD/VtBGR38atoDQR0YMYhKiUWSIwe7xdYL+lqXgblOTkoLctNRxcKIDo/WA4AuNXRFi+JLz5U9Oz8l3usIsy/Ta0MjXzTsXkHsSSGC7COfIddS9aQN+efOT0qpdU8kl8A5fzNz/T4Rly1z0Y753Q9/nYNFWIPdFtdr//bEiY10+LVzuJh0A1y9jJaCE2l2plE289zDP+dIIn2E1eCze0TVFB5GnrLqBdCJS+F11qCMWB46c5iZt/6QeODUobx67VxcF70tBJZh5xzy8WmZefI2Q3Jt/Sl0BpccP/MHv+4PDV94nmnsw6pqWZtDv3VfVFJkzeiKi9zfBmfGkjYgDKTupXaMz5E1VUsb2vceOdJQVau/AWbjOT/ZJ3uxOwZuXAeXfNrHxeF/e+ToAFJWvH7tpQ0WZeZpz/7Tx8yM87D0rlk8c+G/rihXdHJOJoZ9Wdh+aYCkw8+D4x4+aGPdnWb17+y915FDhb6XxyntnBil37eGY4ppS7gBvn9ByI6uGJj988hj6OCGW+khxa7be3vi5b32vt5TyiygBoR0FqYUK0iOYoNawvHdv+GS7tsZkBzFwDSpG1u6pHa/cloBiqIQ63GYBK573t1gki7f/n4fmgZj8xPITfRht6mcPdbKi4dkxUkvc8T5kndPuOaQp2hotrWv5Cf58LnsDM+Ow+1QOfEgFn0nDE3nH1dN4Ls7Z/K704dGrHsuu42yjMjPdNUMyb0+31RNMKQxfWCyOa9zTF4CK+6ezV3HllKUEs1OzXrNzph8ClPj2KDJmvCu87hIAplREx5qXtaP8S/HD1oRx40bx1NPPUVVVRXXX389b7zxBunp6Zx33nn4/f7/1Hv8Mf4vRE+nVUgdRClDV7NImkESZwNR7tEXX6NodHph3qfSgPAlRSTINp/+HGOBXv2KFI/JJZHMnN4LeFwOnPAYXLPC3CgyCgYx9I4vKBgeZh9iNMUNP/zEAnmfk2+W9zfm0jAvW4Vol504ryNCHXBU2WFAhoj3lW0xFsb95OBJSvLAyCI4tUyS7LKT/inf/QgwwRhqeagoPb4vo8u0L+vVyD4S3/LwgjrqMOfLaOwZ9mWrX9X/oMH714k1gmG7k1h45I1AmyPSzudQoIwvRRh0WlAsEAyFUX+MunD7sn5BGUlSPXSTrM9VMRvC4YqlXqCM3emiU5Gk0N7dbCllDiHB7y80HYjq6JB78ZUluzlT+VKO62+EzwSk9JXMYlI/cw4Ye4UUUqPn9Xv8wZmR9jx2l7zneFpxKz2RD45O6/v+D6KUiQRl5HxlBUVa3GKX+91T+Q2g0aBF00AMc8rSIkCZ8lAaCT5nhB/1oIxYWjUDlNFBskpdDj34NBMACoU0bnpjLZUNndS1+VmqM2paunr42bsbOP5Pi/j9Z1t5t1KOtV3L4vih6Thsimmvc/Gkgoih3RtCeUwaXEBntqxBLx/IZsHWGsqLL+Wq7ht4NnQCxw5Jx+2wUZDso1zLYNO43/HZoN8TQmVYVhyzS+UaW1nRyP6mTnbVtaMq8OK8sVw3s5DMOA9t/gB/rB/Djd1XMz80HD9OPguOJitvIAN027HmTvluhmZZ663dpjKxIOmgbPGx+QlE6Qy47PiwIllRLHC+7ESxtDhIOGwqD5w6VJoxCGBjRG5KAurxD4vib/Bp0sg4lAWPoggL9bYdMOOnkc2VOffBGS8KO7W/54Vfa+GWW+nDLGC4twLocBEOyhymKarGyf2eWquvo2OviHyAsZa0VnNtToU8Z8D0vkCPJ95S/KUOglOehrNePjj4rapw6jNWg/QIZnL9GP2Eogi7NGusDL4Mm2UxR2e7zSrpZz84TIzKjee5i8eQmRgjdhMGE1dRYPg5ffdlm90kkcwdGEOSTWdNht0LI3WwKqKxVSwM5hPtQjiISe27H/YGZXISvBEWDKeO7F+ZNLkoiVvmDDzoOlKYEs2GXxzNPccdotHeT2TFe/AYVmmKMFhzw+y/jHkyvSPa7YgAlPuLWI8Dp/3/VtPo3xK91K8ReciR2JeBNVdGC+mPNcCMwshGSvia5ImXHAukedP772ABN3BwpUz48f4dgEx/YVhfeRIiLX3/G2F3ieoS+oIHWWMkhxz7k8jfh+dUNmfkDJN/NYzvtmm3NbvMqCdUVfbs4jB1RPgcBCP073lobBcp0W6rpjBIU4ZtsGKz3rthGbflQ9JjPRYoY4DSRh1S8S2md+Tug9Qoqs0CEnMn80+FosDc3wpId/7bP1jB/i9HuOrhXyVVGJFcTMwFLxP7060RFpn/UqiqEDZAnyfTK38pO1m+53DnjXByyr8QsR4HQ7JiZc88+v7IQer9RN4Aq5fxbnAiRWf8+r+j7DB6KO64yPXYmF0F/YIyccmR33tUYj+kg/AcNvyaAdSyk8DhQ5l1778tB5xRkoLXaYt0XHD6Dg5Y/i8Og+QzIszSlSGn929n+AMiwefE8W9Q5Jpro05MjCCaHf+I1FEn/umQYJgzJez6iOnn+jlYuGNNQHyiYSdmrLOGUmbnfHGgAJh+Z9/+SFgfKsumu1YYOUf49a7aZX837U8VmHhDxKEcNpXitCg2a7nUEkdBchQDw3LV3ERvBEno1jkDSY91s6uunV99sAlN00zrsjPCFPfnjM3BrirYVIVhRq18zINwx+7DXgfDsuSzKIoF8L1wyRi+uGlaRN0bHoqiMCo3bK5vrzBU3yD5+fFD0iNu3VvnRKqTDZJSUpSTWpfs3SFNQUksoCg1mht6ruGC7jtpz50VSWgafi5Mu1PmGv0Y/7E44pky4eHxeLjwwgvJy8vj5z//Oa+//jqPP/44Ltd/ULL9Y/zvjo4GYW621fYdvmkUDp1NFgPK2WsBikqLtDYIb9q7rAaqYjRwPfECAq3WPVYNRrARvd9DbI6uUDlMU80AZYxhokZjcebd5kNK060NLSvBi6IopnVPtMvO2PwfmIxPuVUajocqcv/dEQ4mhKszfkiE25dpmlXwHGqejBHhBfXhlDLh9mVdLbDpPfnZ4RW7oYW/tZRMRzpPxoj04RagcyhQxmYXYKbtgMwMaNotDYT+7Ih8SVJMBv3ynN6hJy6qopGMnngYyVPGCCmag90WAzEsepyxePwdxNFOnCHv/YFKGc3hhk7o6uqgqyfIV0tXcqNhhaTaxQsb+i+eQewHelsQhIWhlHHYFNJi3HR65PNmKnV9HxyVag7bNCO8CInPExs+m6OX1Yl+vnQ2b0/GaNjzGVHBJgC2aVlEu+xMKEhkPtb9uEtLY6g+uNmIsvQYWsslmd1fU8OvvlrIkwc2oECEndyTC3fyjW7xBfDdznpml6Vy+5vr+FSXDidHu3i3fRQzHUv4Up3Er08aTHqsm2cW7SLKZeeqaQW88l0BU1kPwEYtjzF5CUTP+CsvvP85S9bGsPOtdYQ0jbrQOKYPTDatDUrTY9hW3cZ892y2N7cC+xmUEWMWClurW/lcfx9DsuKYVpzMtOJkbppdzKaqFmpb/by1KoNL1k9GWKcKH2XGsKmqhUXb5btx2tR+ZywcLOK8Tt65eiJ2m9q34TrsXGiv79sgOkzkhTVVS3RmE6UnyH9HEgcDmD1x/atkjMiZaK0t4fe1ahNW5drXoPCoI3sPRiQUyN7WVg0Fh2ne9Z6vMOL8yL8b7NLW/URt+Ye8teIjeD/Dzjr8Y3xJoob84l4Y3w9o9WMcWUy9tV9biGOGpLPkrpnScPxvhN0N3W387qSBhFamwndENHBPG5nJB2v3m97UgCiIlzyOQxNwVulnQHphsrU2KIqAOmXp8rvMOA/jfmjuE/6W/4mmhKoqFKVGsW5vMxlxHhw2tZdS5r/cGP1/IcLybaCXUiZO/nX4+iecGJE2BDa+bf1s5DJ2pxCdzHmNYWuequqz4mphh25veiilzP8kY7NwNnz7qBCpetvX/jfCEw897X1BGVeUKHp6R3i91dvy7F8NQwXVtEfIeRCpQHf6ZG/59hFhQvezrpjXUps++MYAZWLSZT6LUY+5oq33XnK87FcVixk84BY8tTogZDQmM0fJ+2ivEWvl6DQ4oOe5/Snci4+W6zLcPvuHRvHRFuDw346oVFn3A13/PlDmPxUTb5Dvdcotff8WlSzzd3Z+LT/n9vNd/ZdiUH4Ofw0cQ6zSRv30B7niIMrKf3sYwElvtWrmKKlJGiv6rVdT4qOp16JJ1F0U4pL7Yd/H51rXSW+LueHniOLg37g+DM6MZd3P5/xbbED/p2Pu4HQW3T7jn1Jp/VfCUAkaROdwEkNsVh+iZ78RPsT9cNby4aEoUsPU70Dt6QAUi2RqKGV6dFL28PP6rwvDyAKpui2lSbIN73N4dfeD2CzpA5ae0C85uSw9hg37hGg5INlHRqx1/MunDIi4JmO9Dh4+czjnPruUv6+s5KstNdS1+fE6bRGK6tQYNy/OG0tXT5AUw8pMVUE9fG4/KjeekTkCEBlzF+O8TuK8zsM88+AxIiee57+tAGB0bjzxPidDM2NZu7eZY4ekRVgthoeiKMSnZvObynPowklyYhLZ8R5qbGnsDaRwWzjwCEIymHHXP/0+f4wjix8Myuzbt48XX3yR559/nvb2ds4//3yefPJJ4uP/Z2wqfoz/JRGbCZd/3f/fjMIh1CNNOhDmVpjNBgOmHzwRCC88eqPmQb9YjI24IPI54Swlu6cvSHOwSBoIrljwN1s/94oByT6cdpXuQMhkh08oSOTx+Ts4eUTmD2dXKsqhAYH/RMTnSxLfVv3PgzLh9mUN5cJmszkPPjchPMJBt8Nt/OH2ZZveFZudxCJhWvzjUlj0EDJ8nh8+VDqc2XC47yA6TUCZxY/Kz6mD+7dRUhRJpo1CsHc4+mEIGdez0wun/AVaq/sFZVRvPPirSFKaiVH0AvgHMvJU/b7r7mrns40HOLr7c1S7Rih/OmreZJh/n4Az/6R8fVRuPKNy4ylLj8GmKrg90hDIMEAZxWZZoxxOKQNiw9c7vJH3c3zxJNjzmfnz9lAmowviifU4aHZYbKFdWhqjeiUpZRkxtOlKmbe+3UxzrQPFGaLJmUZUVDp2xOLt4S+kkTS7NJUvN1fz3c46Gtu7+XKzDKh+/pIxTBiQyP0fpTFhxWB+dvwg4n1OrptVRG2rn4mFScR6HdRED4aOdwEZGnpGXjz4XJx+6hn8ZddCc15DRqyb24621p+y9BjeW7OfTftb2FotRdfgzFhSYtxkJ3iobOjk6W/Ewm9SgZXAqqpiJmYTCxOpbuli5e5GHDaFopRoCpKthk1JerRpK3akUZR6EBBn3BX9f3eHiewEL4oiOG9p+pEDRP9yGEMvXTF9WdjTbpP/fmgYTOH2moNbSRoR3kgZf1VfNrOhKGyskH/dcfpMsn9TZI2CSz769x3vx4iI9Nj/YiGvgzL0dKH6m+R3YfNAilKj+fbOXjYsOROsYbDQd9YXokRxO1S6ekKkxbhxO2wcVZbGLUcVM6ko6T9jv3WYKEqJZt3eZlMhY/zrddr+u+vH/yvh6rX/hjdyUgfLdXSofB0i57i44yJz+OSBYaBMr/yo+GghWhlK5N65oZEnxWYf3MLyvxH5U+DOyr6qov9WeOKhZe+R22z1BmX+nRGTKTldsBuahVncB6iy2Q89z8QkHOizhAzyXnSGtd9BJGCYWCANxPod3DmknfpgLOzCqisdbqlFdi+WuTJx2aLcis+LtBg2Yua9QpDrff3/XwlFkVkRe1dEDLz+XxlJhWLvebAYfLoFyvQHoP2XItbrIO7UP9DmD3D5D5xh8y/FwGOk0dwbIFQUuPhDQOnXCtfrtLOXeBJppUNzkZbcT9/D5oCTnxAAtJdSxnyNf3P8vwDIGPG/egZOb7LzPzOQPXWQEE5js364ojI63ZrFnDbY6tf5kiC5VPb9o38jZIb+rjObw+wPqMYeYIIyYX0Co2cw4gIB8Gf+rN+3YzhiKIrYhbkdNs4ek83+5q5+501OKEjk6ukF/Hn+TuraBOQ/Z2wOPldkq7xfB5EjCLfDxttXHwFp+QdEuGrLIGjednQJryzdzd3HHVpNXJgSxdMVQnb8WYIXu01lWFYsKyoamRjWQ/gx/ntxxKDMG2+8wfPPP8/ChQs5+uijeeihhzjuuOOw2X5YA+fH+P9hOKOsRmyLPgPC6RUwxYhDWbs43JZ6oL8FuuykvvLm8Kbt/9fefcdHUed/HH9P2iakN4JAgCA1FOlVBVSKqBT1TgRFinp4cHQVTjyKBfVQ0LMrB+oJej/FegoiIkUQBUFFkI4gRXpCDZDM749lN7tpbEJ2J7t5PR+PPJKdnZ397G6+ycx85vP5xqV6vqMRFCSltpS22ts5FdSuJjQ4SHVSorR+T6bzH3T7Wkn6emzH/PNvlFWGYS9n3bncfS6e4nC2L8vMrZKp0tyzf+RulTJFT7boPGDb8FHuvDVN+tp3WA9tlr59KbftVHF34C9rkvvzRZMyl9l7oe6+MJ+MY1Ltglw7Udq2KN9cGpKkoCCZoRVkOK5mscW6X91fxJV6ETFJ0lGpunHh4NUIcp981wNGmCMpc1prdx7UfcFf28NqMUCqd5P9vUxIK/EJh/DQYL1/X25Cx9G+rIpxISFbqaG9Fd2xXfYrJG0xF1rDXWh1knfHsiB5kqxBVfPMI5RcV4/1vtBCJfoyOTq97cyppIEXSogd0i+L0UbZYzxw6KBaBNmv5ll2uobW/G+jJvVooKWbDyk7x1TDKjF68pZGav7oH/p1/3HN+W6XzueYSr8sRp3q2q/2fKRXQ/3jpnRnOXpMeKhmuM5NULWZdOGcVGZ8fSVeKEuOsoXohX7NNHvFTnVJT9H1DSu5Hcw4eseu3XXUmbhpcGFZi+oJ2n1kj/Zm2JcXttNoCwnWK3c218h316lJapzCQoKck5BL7q3LrBIeGqzKsRHac+x0kZNjl7qUBtLNr9v/HhXRbq3YXFskFsVx8jMsSmo5OP/9ea9Mb3OfdScFUbaFRdrnYMrKtLeNlS5+MjYkTKp1TW61WAEXBQQHGaqZFKUN+3L3fYKDDP3t2tr51vWVZtXj9P4Pv6vhhQrNNjUTdV39imqVlhBQJ4N8JsSWu78t2avMHSITpbGbc+ffKIzrSeG8lRHJ9aSNn0gy8v9N6z7NPk+kIymTdyJux+9kUXMg+oqVSSHHyS6PkzIuiYbSTsoEh9iTHMd22RMC0sXbIefluODg1GH7vDRZF07I5W2fk/c9v3ASMCHopBISQuxJGdfjjxrt7UmZzfNzjzkKa68cFOS/CRmH65+wOoLSUf9G6bOx9moOT9phe1FhLTm9KjzG3mqqIBcZWxkhCVL2Lh0yY3LnPsnrUqrBUHblveDzIu35ChR7YT7EkiR0XKv9847bQZ/bEygF7Fe6CY1wn1OssEoZSWraz/5ViCsuJCwcCRlJeuKWohPWY7vU1XX1UxQaHKSEyDBdFnvxChgrVY2PUM2kSP1+7LRz7pgrayfpytoXTxzVqph7/Ohop/Zsn6badeSUmlaj0MIKHp956NOnj6pVq6ZRo0YpJSVFO3fu1AsvvJBvveHDh5dqgAgAhmE/EDh9RMrca18WFmm/KtOhZgGTP7oKj7W3NXAkY1z/QBd0Asv1/ov9E8grtbVLUqbgkw1t0hK1fk+m20nMGkkenEwuS+rdkNuXuSSccwVlFm8+Gcn+D7/ejfaDsLiLXIHUoLf0w5v2ZMjZE/YT+I4S605/t098vOlze3WHpydAHSrWt1cNGUaBVwa7cT1ATLtaalzEBK/pPexfhTBCK+SWGHtaxSUpONL+j7KmIykTEV/syRJDwuw76ueyTit0+9dKMY4pKyxBtro32A+wuzxSrO1d/Antz1e/QqZ0RvbPvtVfpCVPSnVvsMcfEW//XZDhYVImzw5jXDXlRKYo6KS9auWOm7rKcCRI42voeGaETipce5WYL/FQLaGC1gbZn7OqcVDXJh6RMqQ1OXX03prfNe76es62ZR3rVFRilE31KkXr1/3H9fxX9quCbrzC/eRBUf2Bq1WrqWc39FakzuiytEZu9zmqjAriSFA4Ei/J0TZn+XTz6vH6YK094R0WElTkBOeJUTa9NTi31/7lLvNENK4SV+jjfGlyjwZas+uo2tT08dU6jUux8qS46nS1J8gb9C54XixbtP2g69wp+//OvHPOAA6xVe0tNjN+9zwpI0m1u7okZQr+f1iroj0pU62MXDH65xapqpEY6eytHR4arNfv8qBaF4WzRV/4f6z8LU88OeEeVTG3Ejvv/rej7Vhkcv6KitAI+wTp/77ePsl3pTwnUOrdKN3wtL19WHnm+P/g6QU5bpUyHj6mOOKq25Myv35qv533c7uYCom5F+6dPORSKZMnKZP3IgRna+OjuS3OXJMyda+XljxlT8rsWGpfVtIJzOE74bHSnR/YT+IW1O4OhToVliSdlg4rTo191S4VZUPeC2JLkliR3OdvLQ63pEyev7MR8Z7N9xtic0nKGPaLVqU8SRnPEgZNUuP09J+uUJ3CujkUwDAMv0pIGIah/9zdWsfPnFfV+OLtk9d2OfZPTbD/7lSOi/Cfi8sDkMdJmWrVqskwDM2ZM6fQdQzDICmDguVNyoRG5la3JNVx/2NeEFuMPSmTN2ueXL/g6gjXE90XO9mel2s7r0Imdr6/W131bFLFeaV6ueRaKeMoWfX0n7l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"text/plain": [ "
" ] @@ -1026,6 +1028,8 @@ "\n", "for start, stop in zip(normalized_pulse_start_times, normalized_pulse_stop_times):\n", " axs[5].axvspan(start, stop, color=\"blue\", alpha=0.5)\n", + "axs[5].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[5].set_yticklabels([])\n", "axs[5].set_ylabel(\"Optogenetic Stimulation\")" ] }, From 38781efe8f39b484798dbf9501fdbf02d40ac479 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 14:45:59 -0700 Subject: [PATCH 06/11] added behavior notebook --- 001617/behavior_example_notebook.ipynb | 597 +++++++++++++++++++++++++ 001617/environment.yml | 1 + 2 files changed, 598 insertions(+) create mode 100644 001617/behavior_example_notebook.ipynb diff --git a/001617/behavior_example_notebook.ipynb b/001617/behavior_example_notebook.ipynb new file mode 100644 index 0000000..fbd704a --- /dev/null +++ b/001617/behavior_example_notebook.ipynb @@ -0,0 +1,597 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "697cc78a", + "metadata": {}, + "source": [ + "# Behavior Example Notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4320b5e1", + "metadata": {}, + "outputs": [], + "source": [ + "from stream_nwbfile import stream_nwbfile\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import networkx as nx" + ] + }, + { + "cell_type": "markdown", + "id": "95d055f2", + "metadata": {}, + "source": [ + "This notebook showcases one example session from the 001617 dataset containing labeled sleep/wake behavior, concurrent electrophysiology recordings, and DeepLabCut pose estimation." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8b09f50f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "A newer version (0.71.4) of dandi/dandi-cli is available. You are using 0.67.2\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and pose estimation data were collected.
identifier: 4985d118-035c-47e3-b7a2-cb7cc639cdf9
session_start_time2025-04-12 08:10:07-07:00
timestamps_reference_time2025-04-12 08:10:07-07:00
file_create_date
02025-10-01 17:31:52.199503-07:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video2
starting_time: 0.0
rate: 10.0
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
Data typeuint8
Shape(0, 0, 0)
Array size0.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratioundefined

[]
starting_time_unit: seconds
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'sub-M405-M407_ses-M405-M407-250412-081001_ecephys+image/ae4e92e7-a7e8-41a0-9a06-f15179bb2436_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device
description: Video camera used for recording.
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'pose estimation' b'electrophysiology' b'sleep']
processing
behavior
description: processed behavioral data
data_interfaces
PoseEstimationDeepLabCut
pose_estimation_series
PoseEstimationSeriesCenterbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3031152719625525
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3707180597286857
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3834486869556577
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3708132345947415
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3667081475513774
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesHeadstage
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for headstage.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2860818295515455
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2798541296282364
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.314004880925708
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.297206908967954
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3179173589983324
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.342370709382151
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftear
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftear.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.269743533140438
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesNose
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for nose.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2570050733066847
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.282848326918674
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.304823130531549
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.328241427310691
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.334223184369432
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3454287716096656
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightear
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightear.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.277417128369325
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.236308396196461
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.254623271076252
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.291269515180878
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTailbase
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tailbase.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.369913039720196
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTailtip
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tailtip.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2144814496449157
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
description: 2D keypoint coordinates estimated using DeepLabCut.
original_videos
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'/Volumes/T7/CatalystNeuro/Dan/Test - video analysis/M407/M407-S1/Lindsay_SBOX_2animals_R-250411-223215_M405_M407-250412-081001_Cam2.avi']
dimensions
HDF5 dataset
Data typeuint64
Shape(1, 2)
Array size16.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0

[[480 640]]
scorer: DLC_resnet50_Box2BehaviorSep10shuffle1_100000
source_software: DeepLabCut
skeleton
nodes
HDF5 dataset
Data typeobject
Shape(24,)
Array size192.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5
devices
CameraPoseEstimationDeepLabCut
description: Camera used for behavioral recording and pose estimation.
Skeletons
skeletons
SkeletonPoseEstimationDeepLabCut_Ind1
nodes
HDF5 dataset
Data typeobject
Shape(24,)
Array size192.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5
behavioral_summary
description: Summary of behavioral states for the session
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
t_LMt_NLt_QWt_NREMt_REMdistance_in_nestdistance_out_of_nesttime_in_nesttime_out_of_nest
id
00.0459640.1238270.4852120.2684910.0765071501.7986741060.22739212125.32097.2
ecephys
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
data_interfaces
ElectricalSeriesEEG
starting_time: 0.0
rate: 1017.252625
resolution: -1.0
comments: no comments
description: EEG voltage data was recorded by a TDT acquisition system. A second backup channel was recorded in case the signal in the first channel is compromised. During data extraction, the redundant channel was discarded to conserve space.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(14642688, 1)
Array size27.93 MiB
Chunk shape(5000000, 1)
Compressiongzip
Compression opts4
Compression ratio1.6901832577219058
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG
starting_time: 0.0
rate: 1017.252625
resolution: -1.0
comments: no comments
description: EMG voltage data was recorded by a TDT acquisition system. A second backup channel was recorded in case the signal in the first channel is compromised. During data extraction, the redundant channel was discarded to conserve space.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(14642688, 1)
Array size27.93 MiB
Chunk shape(5000000, 1)
Compressiongzip
Compression opts4
Compression ratio1.6394269821416996
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes
description: metadata about extracellular electrodes
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
electrode_groups
ElectrodeGroupEEG
description: ElectrodeGroup for EEG channels.
location: Brain Region Z
device
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
ElectrodeGroupEMG
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
CameraPoseEstimationDeepLabCut
description: Camera used for behavioral recording and pose estimation.
DeviceEEG
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
DeviceEMG
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video2 Camera Device
description: Video camera used for recording.
intervals
epochs
description: experimental epochs
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start_timestop_timetags
id
00.05.0[WAKE]
15.010.0[WAKE]
210.015.0[WAKE]
315.020.0[WAKE]

... and 2874 more rows.

subject
age: P0D/
age__reference: birth
description: Mice were used for all experiments.
sex: U
species: Mus musculus
subject_id: M405_M407
epochs
description: experimental epochs
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start_timestop_timetags
id
00.05.0[WAKE]
15.010.0[WAKE]
210.015.0[WAKE]
315.020.0[WAKE]

... and 2874 more rows.

session_id: M405_M407-250412-081001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" + ], + "text/plain": [ + "root pynwb.file.NWBFile at 0x5000628608\n", + "Fields:\n", + " acquisition: {\n", + " Video2 \n", + " }\n", + " devices: {\n", + " CameraPoseEstimationDeepLabCut ,\n", + " DeviceEEG ,\n", + " DeviceEMG ,\n", + " Video2 Camera Device \n", + " }\n", + " electrode_groups: {\n", + " ElectrodeGroupEEG ,\n", + " ElectrodeGroupEMG \n", + " }\n", + " electrodes: electrodes \n", + " epochs: epochs \n", + " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", + " file_create_date: [datetime.datetime(2025, 10, 1, 17, 31, 52, 199503, tzinfo=tzoffset(None, -25200))]\n", + " identifier: 4985d118-035c-47e3-b7a2-cb7cc639cdf9\n", + " institution: University of California Berkeley\n", + " intervals: {\n", + " epochs \n", + " }\n", + " keywords: \n", + " lab: Dan Lab\n", + " processing: {\n", + " behavior ,\n", + " ecephys \n", + " }\n", + " session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and pose estimation data were collected.\n", + " session_id: M405_M407-250412-081001\n", + " session_start_time: 2025-04-12 08:10:07-07:00\n", + " source_script: Created using NeuroConv v0.8.2\n", + " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", + " subject: subject pynwb.file.Subject at 0x5000626592\n", + "Fields:\n", + " age: P0D/\n", + " age__reference: birth\n", + " description: Mice were used for all experiments.\n", + " sex: U\n", + " species: Mus musculus\n", + " subject_id: M405_M407\n", + "\n", + " timestamps_reference_time: 2025-04-12 08:10:07-07:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "DANDISET_ID = '001617'\n", + "file_path = 'sub-M405-M407/sub-M405-M407_ses-M405-M407-250412-081001_ecephys+image.nwb'\n", + "nwbfile, io = stream_nwbfile(DANDISET_ID, file_path)\n", + "display(nwbfile)" + ] + }, + { + "cell_type": "markdown", + "id": "18c9ef4c", + "metadata": {}, + "source": [ + "Get Sleep/Wake Data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5a82f70e", + "metadata": {}, + "outputs": [], + "source": [ + "epochs_df = nwbfile.epochs.to_dataframe()\n", + "all_wake = np.array([['WAKE'] * len(epochs_df)])[0]\n", + "all_rem = np.array([['REM'] * len(epochs_df)])[0]\n", + "all_nrem = np.array([['NREM'] * len(epochs_df)])[0]\n", + "wake_df = epochs_df[epochs_df.tags == all_wake]\n", + "rem_df = epochs_df[epochs_df.tags == all_rem]\n", + "nrem_df = epochs_df[epochs_df.tags == all_nrem]" + ] + }, + { + "cell_type": "markdown", + "id": "1fe1c388", + "metadata": {}, + "source": [ + "Plot Sleep/Wake Data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cb3785b3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(15, 5))\n", + "\n", + "# Plot each state as horizontal spans with spacing\n", + "for _, row in wake_df.iterrows():\n", + " plt.axvspan(row.start_time, row.stop_time, ymin=0.675, ymax=0.975, color='blue', alpha=0.7)\n", + " \n", + "for _, row in rem_df.iterrows():\n", + " plt.axvspan(row.start_time, row.stop_time, ymin=0.35, ymax=0.65, color='orange', alpha=0.7)\n", + " \n", + "for _, row in nrem_df.iterrows():\n", + " plt.axvspan(row.start_time, row.stop_time, ymin=0.025, ymax=0.325, color='green', alpha=0.7)\n", + "\n", + "plt.yticks([0.135, 0.5, 0.865], ['NREM', 'REM', 'WAKE'])\n", + "plt.xlabel('Time (s)')\n", + "plt.ylabel('Sleep/Wake State')\n", + "plt.title('Sleep/Wake State Transitions Over Time')\n", + "plt.xlim(0, epochs_df.stop_time.max())\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "ab8195ea", + "metadata": {}, + "source": [ + "Get Pose Estimation Data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "935bb3c2", + "metadata": {}, + "outputs": [], + "source": [ + "pose_estimation = nwbfile.processing[\"behavior\"].data_interfaces[\"PoseEstimationDeepLabCut\"]\n", + " \n", + "nodes = pose_estimation.skeleton.nodes[:]\n", + "edges = pose_estimation.skeleton.edges or []\n", + "pes = pose_estimation.pose_estimation_series\n", + "name_to_data = {name: series.data[:] for name, series in pes.items()}\n", + "pes_starting_time = pes[\"PoseEstimationSeriesCenterbody1\"].starting_time\n", + "pes_rate = pes[\"PoseEstimationSeriesCenterbody1\"].rate\n", + "pes_timestamps = np.arange(len(next(iter(name_to_data.values())))) / pes_rate + pes_starting_time\n", + "node_to_name = {node: f\"PoseEstimationSeries{node.capitalize()}\" for node in nodes}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8abc2c43", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_pose_estimation(nodes, edges, name_to_data, node_to_name, timestamps):\n", + " \"\"\"\n", + " Plot pose estimation data with trajectory and skeleton structure.\n", + " \n", + " Parameters:\n", + " -----------\n", + " nodes : array-like\n", + " Node names for the pose estimation skeleton\n", + " edges : array-like\n", + " Edge connections between nodes\n", + " name_to_data : dict\n", + " Dictionary mapping node names to position data\n", + " node_to_name : dict\n", + " Dictionary mapping node indices to series names\n", + " timestamps : array-like\n", + " Timestamps for the pose estimation data\n", + " \"\"\"\n", + " fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 8))\n", + " \n", + " # Left plot: Average position scatter plot with trajectory\n", + " all_x = np.array([name_to_data[node_to_name[node]][:, 0] for node in nodes])\n", + " all_y = np.array([name_to_data[node_to_name[node]][:, 1] for node in nodes])\n", + "\n", + " x = np.nanmean(all_x, axis=0)\n", + " y = np.nanmean(all_y, axis=0)\n", + "\n", + " sc = ax1.scatter(x, y, c=timestamps, cmap='viridis', s=1)\n", + " ax1.set_xlabel('X Position')\n", + " ax1.set_ylabel('Y Position')\n", + " ax1.set_title('Average Position Trajectory')\n", + " plt.colorbar(sc, ax=ax1, label='Time (s)')\n", + " \n", + " # Right plot: Network graph using networkx\n", + " \n", + " # Create a graph\n", + " G = nx.Graph()\n", + " \n", + " # Add nodes\n", + " for i, node in enumerate(nodes):\n", + " G.add_node(i, label=node)\n", + " \n", + " # Add edges\n", + " for edge in edges:\n", + " G.add_edge(edge[0], edge[1])\n", + " \n", + " # Create layout\n", + " pos = nx.spring_layout(G, seed=42)\n", + " \n", + " # Draw the network\n", + " nx.draw(G, pos, ax=ax2, with_labels=True, \n", + " labels={i: nodes[i] for i in range(len(nodes))},\n", + " node_color='lightblue', node_size=1000, \n", + " font_size=10, font_weight='bold',\n", + " edge_color='gray', width=2)\n", + " \n", + " ax2.set_title('Pose Estimation Skeleton Structure')\n", + " ax2.axis('off')\n", + " \n", + " plt.tight_layout()\n", + "\n", + " return fig, (ax1, ax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "41f348fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " (,\n", + " ))" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_pose_estimation(nodes, edges, name_to_data, node_to_name, pes_timestamps)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3d46466", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dan_notebook_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/001617/environment.yml b/001617/environment.yml index aed6ef8..8b59bcb 100644 --- a/001617/environment.yml +++ b/001617/environment.yml @@ -7,6 +7,7 @@ dependencies: - ipykernel - matplotlib - dandi + - networkx - pip - pip: - remfile From 26f4eb78df4fa0732ac00cf4fdf14a830cf0f049 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Thu, 2 Oct 2025 15:21:44 -0700 Subject: [PATCH 07/11] added ephys to behavior notebook --- 001617/behavior_example_notebook.ipynb | 135 ++++++++++++++++++++++--- 1 file changed, 123 insertions(+), 12 deletions(-) diff --git a/001617/behavior_example_notebook.ipynb b/001617/behavior_example_notebook.ipynb index fbd704a..1dd4c22 100644 --- a/001617/behavior_example_notebook.ipynb +++ b/001617/behavior_example_notebook.ipynb @@ -143,14 +143,14 @@ " \n", " 0\n", " Brain Region Z\n", - " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", + " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", " EEG1\n", " ElectrodeGroupEEG\n", " \n", " \n", " 1\n", " Subcutaneous neck\n", - " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", + " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", " EMG1\n", " ElectrodeGroupEMG\n", " \n", @@ -176,14 +176,14 @@ " \n", " 0\n", " Brain Region Z\n", - " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", + " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", " EEG1\n", " ElectrodeGroupEEG\n", " \n", " \n", " 1\n", " Subcutaneous neck\n", - " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", + " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", " EMG1\n", " ElectrodeGroupEMG\n", " \n", @@ -209,14 +209,14 @@ " \n", " 0\n", " Brain Region Z\n", - " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5000626928\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5000610192\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", + " ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n\n", " EEG1\n", " ElectrodeGroupEEG\n", " \n", " \n", " 1\n", " Subcutaneous neck\n", - " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5000610512\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4997859184\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", + " ElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\n\n", " EMG1\n", " ElectrodeGroupEMG\n", " \n", @@ -306,7 +306,7 @@ "

... and 2874 more rows.

session_id: M405_M407-250412-081001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" ], "text/plain": [ - "root pynwb.file.NWBFile at 0x5000628608\n", + "root pynwb.file.NWBFile at 0x4954098048\n", "Fields:\n", " acquisition: {\n", " Video2 \n", @@ -341,7 +341,7 @@ " session_start_time: 2025-04-12 08:10:07-07:00\n", " source_script: Created using NeuroConv v0.8.2\n", " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x5000626592\n", + " subject: subject pynwb.file.Subject at 0x4954096032\n", "Fields:\n", " age: P0D/\n", " age__reference: birth\n", @@ -434,6 +434,117 @@ "plt.show()\n" ] }, + { + "cell_type": "markdown", + "id": "0698260c", + "metadata": {}, + "source": [ + "Get Electrophysiology Data" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fe1a2592", + "metadata": {}, + "outputs": [], + "source": [ + "eeg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].data[:]\n", + "eeg_data_in_uV = eeg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].conversion * 1e6\n", + "emg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].data[:]\n", + "emg_data_in_uV = emg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].conversion * 1e6\n", + "ephys_starting_time = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].starting_time\n", + "ephys_rate = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].rate\n", + "ephys_timestamps = np.arange(ephys_starting_time, ephys_starting_time + (len(eeg_data) / ephys_rate), 1 / ephys_rate)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ee7caa49", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_wake = wake_df.iloc[0]\n", + "example_rem = rem_df.iloc[0]\n", + "example_nrem = nrem_df.iloc[0]\n", + "\n", + "# Define time windows for plotting\n", + "start_time_wake = example_wake[\"start_time\"]\n", + "stop_time_wake = example_wake[\"stop_time\"]\n", + "wake_slice = slice(int(start_time_wake * ephys_rate), int(stop_time_wake * ephys_rate))\n", + "start_time_rem = example_rem[\"start_time\"]\n", + "stop_time_rem = example_rem[\"stop_time\"]\n", + "rem_slice = slice(int(start_time_rem * ephys_rate), int(stop_time_rem * ephys_rate))\n", + "start_time_nrem = example_nrem[\"start_time\"]\n", + "stop_time_nrem = example_nrem[\"stop_time\"]\n", + "nrem_slice = slice(int(start_time_nrem * ephys_rate), int(stop_time_nrem * ephys_rate))\n", + "\n", + "# Normalize times to start at 0 for each state\n", + "normalized_wake_timestamps = ephys_timestamps[wake_slice] - start_time_wake\n", + "normalized_rem_timestamps = ephys_timestamps[rem_slice] - start_time_rem\n", + "normalized_nrem_timestamps = ephys_timestamps[nrem_slice] - start_time_nrem\n", + "\n", + "# Plot EEG data for all states in one figure\n", + "fig_eeg, (ax_eeg_wake, ax_eeg_rem, ax_eeg_nrem) = plt.subplots(3, 1, figsize=(15, 10), sharex=True, sharey=True)\n", + "\n", + "ax_eeg_wake.plot(normalized_wake_timestamps, eeg_data_in_uV[wake_slice], color='blue', label='WAKE')\n", + "ax_eeg_wake.set_ylabel('Amplitude (µV)')\n", + "ax_eeg_wake.legend()\n", + "\n", + "ax_eeg_rem.plot(normalized_rem_timestamps, eeg_data_in_uV[rem_slice], color='orange', label='REM')\n", + "ax_eeg_rem.set_ylabel('Amplitude (µV)')\n", + "ax_eeg_rem.legend()\n", + "\n", + "ax_eeg_nrem.plot(normalized_nrem_timestamps, eeg_data_in_uV[nrem_slice], color='green', label='NREM')\n", + "ax_eeg_nrem.set_ylabel('Amplitude (µV)')\n", + "ax_eeg_nrem.set_xlabel('Time (s)')\n", + "ax_eeg_nrem.legend()\n", + "\n", + "fig_eeg.suptitle('EEG Across Sleep/Wake States')\n", + "plt.tight_layout()\n", + "\n", + "# Plot EMG data for all states in one figure\n", + "fig_emg, (ax_emg_wake, ax_emg_rem, ax_emg_nrem) = plt.subplots(3, 1, figsize=(15, 10), sharex=True, sharey=True)\n", + "\n", + "ax_emg_wake.plot(normalized_wake_timestamps, emg_data_in_uV[wake_slice], color='blue', label='WAKE')\n", + "ax_emg_wake.set_ylabel('Amplitude (µV)')\n", + "ax_emg_wake.legend()\n", + "\n", + "ax_emg_rem.plot(normalized_rem_timestamps, emg_data_in_uV[rem_slice], color='orange', label='REM')\n", + "ax_emg_rem.set_ylabel('Amplitude (µV)')\n", + "ax_emg_rem.legend()\n", + "\n", + "ax_emg_nrem.plot(normalized_nrem_timestamps, emg_data_in_uV[nrem_slice], color='green', label='NREM')\n", + "ax_emg_nrem.set_ylabel('Amplitude (µV)')\n", + "ax_emg_nrem.set_xlabel('Time (s)')\n", + "ax_emg_nrem.legend()\n", + "\n", + "fig_emg.suptitle('EMG Across Sleep/Wake States')\n", + "plt.tight_layout()" + ] + }, { "cell_type": "markdown", "id": "ab8195ea", @@ -444,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "935bb3c2", "metadata": {}, "outputs": [], @@ -463,7 +574,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "8abc2c43", "metadata": {}, "outputs": [], @@ -533,7 +644,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "41f348fe", "metadata": {}, "outputs": [ @@ -545,7 +656,7 @@ " ))" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, From c87d0c1cbe157ac85aab4ab02cea377f779e06d5 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Mon, 9 Feb 2026 10:31:32 -0800 Subject: [PATCH 08/11] Updated environment.yml --- 001617/environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/001617/environment.yml b/001617/environment.yml index 8b59bcb..8277cb4 100644 --- a/001617/environment.yml +++ b/001617/environment.yml @@ -6,9 +6,9 @@ dependencies: - python==3.13 - ipykernel - matplotlib - - dandi - networkx - pip - pip: + - dandi - remfile - dan-lab-to-nwb @ git+https://github.com/catalystneuro/dan-lab-to-nwb.git@main \ No newline at end of file From c1db893b4ede2b8b63178accb89bfdcd2674df38 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Mon, 9 Feb 2026 17:55:28 -0800 Subject: [PATCH 09/11] Updated photometry_example_notebook --- 001617/photometry_example_notebook.ipynb | 1126 +++++++++++++--------- 1 file changed, 662 insertions(+), 464 deletions(-) diff --git a/001617/photometry_example_notebook.ipynb b/001617/photometry_example_notebook.ipynb index 4dba99d..e6d424d 100644 --- a/001617/photometry_example_notebook.ipynb +++ b/001617/photometry_example_notebook.ipynb @@ -5,7 +5,7 @@ "id": "5e1e9b71", "metadata": {}, "source": [ - "# Photometry Example Notebook" + "# Example Notebook" ] }, { @@ -25,7 +25,17 @@ "id": "a171dd87", "metadata": {}, "source": [ - "This notebook showcases one example session from the 001617 dataset containing concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation." + "This notebook showcases two example session from the 001617 dataset containing concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation.\n", + "\n", + "The first example contains fiber photometry data, while the second does not." + ] + }, + { + "cell_type": "markdown", + "id": "80d46a25", + "metadata": {}, + "source": [ + "## Opto-signal Example Session" ] }, { @@ -34,13 +44,6 @@ "id": "3ba11e79", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "A newer version (0.71.4) of dandi/dandi-cli is available. You are using 0.67.2\n" - ] - }, { "data": { "text/html": [ @@ -80,173 +83,7 @@ " });\n", " });\n", " \n", - "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: a53a5795-fc9f-4b6f-be88-504dd5939041
session_start_time2024-11-08 07:20:06-08:00
timestamps_reference_time2024-11-08 07:20:06-08:00
file_create_date
02025-10-01 17:20:02.214253-07:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1
starting_time: 0.0
rate: 10.0
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
Data typeuint8
Shape(0, 0, 0)
Array size0.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratioundefined

[]
starting_time_unit: seconds
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'sub-M301_ses-M301-241108-072001_ecephys+image/b6394d16-bf13-41c8-8341-e8f03431c999_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device
description: Video camera used for recording.
calcium_signalPFC
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from PFC.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.307739695159083
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the calcium signal of PFC.
table
description:
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
calcium_signalVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.282026770744337
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the calcium signal of VTA.
table
description:
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationexcitation_wavelength_in_nmemission_wavelength_in_nmindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)465.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)405.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
isosbestic_controlPFC
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from PFC.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3381768505083498
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of PFC.
table
description:
table\n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: 2d5a538e-a6a5-4ddb-a1ef-c503fb589909
session_start_time2024-09-04 07:20:06-07:00
timestamps_reference_time2024-09-04 07:20:06-07:00
file_create_date
02026-02-09 17:30:33.102717-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
Data typeuint8
Shape(0, 0, 0)
Array size0.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)0
Compressed size (bytes)0
Compression ratioundefined

[]
timestamps
HDF5 dataset
Data typefloat64
Shape(257941,)
Array size1.97 MiB
Chunk shape(257941,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)2063528
Compressed size (bytes)1465739
Compression ratio1.4078413687566476
timestamps_unit: seconds
interval: 1
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)8
Compressed size (bytes)16
Compression ratio0.5

['sub-M301_ses-M301-240904-072001-use-Bing-opto-signal_ecephys+image/af81dc15-552b-4fc3-82c7-966bb4293cc2_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device (Device)
description: Video camera used for recording.
calcium_signal_NAc (FiberPhotometryResponseSeries)
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from NAc.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26239616,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104958464
Compressed size (bytes)78700424
Compression ratio1.3336454705758638
starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: The region of the FiberPhotometryTable corresponding to the calcium signal of NAc.
table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", " \n", " \n", " \n", @@ -257,9 +94,6 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -270,66 +104,31 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
optical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)Nucleus Accumbens (NAc)465.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)Nucleus Accumbens (NAc)405.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
isosbestic_controlVTA
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from VTA.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26240256,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Compression ratio1.3235867554797829
starting_time_unit: seconds
fiber_photometry_table_region
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of VTA.
table
description:
table\n", + "
isosbestic_control_NAc (FiberPhotometryResponseSeries)
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from NAc.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26239616,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104958464
Compressed size (bytes)74888587
Compression ratio1.4015281661009307
starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of NAc.
table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", " \n", " \n", " \n", @@ -340,9 +139,6 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -353,66 +149,31 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
optical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)Nucleus Accumbens (NAc)465.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)Nucleus Accumbens (NAc)405.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'fiber photometry' b'optogenetics' b'sleep']
processing
ecephys
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
data_interfaces
ElectricalSeriesEEG
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26240256, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Compression ratio1.4717029244075497
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", + "
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)24
Compressed size (bytes)48
Compression ratio0.5

['fiber photometry' 'optogenetics' 'sleep']
processing
ecephys (ProcessingModule)
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
ElectricalSeriesEEG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26239488, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104957952
Compressed size (bytes)71685898
Compression ratio1.4641366702276646
starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", " \n", " \n", " \n", @@ -432,34 +193,34 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EMG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26240256, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Compression ratio1.8059763676119882
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", + "
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EMG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26239488, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104957952
Compressed size (bytes)67084781
Compression ratio1.5645568254892268
starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", " \n", " \n", " \n", @@ -479,34 +240,34 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes
description: metadata about extracellular electrodes
table\n", + "
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", " \n", " \n", " \n", @@ -526,34 +287,34 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
1Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x5005722688\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x5005397200\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\n2.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x5005401680\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x5005397520\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
electrode_groups
ElectrodeGroupEEG
description: ElectrodeGroup for EEG channels.
location: Brain Region Z
device
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
ElectrodeGroupEMG
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
DeviceEMG
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device
description: Video camera used for recording.
dichroic_mirror
description:
serial_number: DM001
model
manufacturer:
model_number:
description:
cut_on_wavelength_in_nm: -1.0
cut_off_wavelength_in_nm: -1.0
reflection_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
transmission_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
angle_of_incidence_in_degrees: -1.0
emission_filter
description:
model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_filter
description:
model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_source_calcium_signal
description:
model
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[460. 470.]
power_in_W: -1.0
intensity_in_W_per_m2: -1.0
exposure_time_in_s: -1.0
excitation_source_isosbestic_control
description:
model
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 410.]
power_in_W: -1.0
intensity_in_W_per_m2: -1.0
exposure_time_in_s: -1.0
optical_fiber1
description:
serial_number: OF001
model
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere:
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiber2
description:
serial_number: OF002
model
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere:
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberBF
description: Optical fiber used for optogenetic stimulation in the BF.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberLC
description: Optical fiber used for optogenetic stimulation in the LC.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiberVTA
description: Optical fiber used for optogenetic stimulation in the VTA.
model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source
description: An LED device used for optogenetic stimulation.
model
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
photodetector
description:
serial_number: PD001
model
manufacturer:
model_number:
description:
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 700.]
gain: -1.0
gain_unit: V/W
device_models
dichroic_mirror_model
manufacturer:
model_number:
description:
cut_on_wavelength_in_nm: -1.0
cut_off_wavelength_in_nm: -1.0
reflection_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
transmission_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[-1. -1.]
angle_of_incidence_in_degrees: -1.0
emission_filter_model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_filter_model
manufacturer:
model_number:
description:
filter_type: Bandpass
center_wavelength_in_nm: -1.0
bandwidth_in_nm: -1.0
excitation_source_model_calcium
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[460. 470.]
excitation_source_model_isosbestic
manufacturer:
model_number:
description:
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 410.]
optical_fiber_model
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optical_fiber_model_1
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
optical_fiber_model_2
manufacturer:
model_number:
description:
numerical_aperture: -1.0
core_diameter_in_um: -1.0
optogenetic_excitation_source_model
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
photodetector_model
manufacturer:
model_number:
description:
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[400. 700.]
gain: -1.0
gain_unit: V/W
intervals
optogenetic_pulses
description: Metadata about optogenetic stimulation parameters per pulse
table\n", + "
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device (Device)
description: Video camera used for recording.
excitation_source (ExcitationSource)
description: Excitation source used for fiber photometry.
model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_NAc (OpticalFiber)
description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiber_mVTA (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the VTA.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
photodetector (Photodetector)
description: Photodetector used for fiber photometry.
model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
device_models
excitation_source_model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_model_fiber_photometry (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
photodetector_model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
table\n", " \n", " \n", " \n", @@ -580,39 +341,39 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
0.0003280.00065520.0-1.0635.0test_pulse[0]
173.91182873.91215654.07555654.07588420.0-1.0635.0test_pulse[0]
2147.823329147.823657108.150784108.15111220.0-1.0635.0test_pulse[0]
3213.290353213.290680177.303716177.30404420.0-1.0635.0test_pulse[0]

... and 87192 more rows.

subject
age: P0D/
age__reference: birth
description: Mice were used for all experiments.
sex: U
species: Mus musculus
subject_id: M301
lab_meta_data
fiber_photometry
fiber_photometry_table
description:
table\n", + "

... and 86800 more row(s).

subject (Subject)
age__reference: birth
description: Mice were used for all experiments.
sex: M
species: Mus musculus
subject_id: M301
date_of_birth2024-05-26 00:00:00-07:00
lab_meta_data
fiber_photometry (FiberPhotometry)
fiber_photometry_table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", " \n", " \n", " \n", @@ -623,9 +384,6 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -636,66 +394,31 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
optical_fiberexcitation_sourcephotodetectordichroic_mirroremission_filterexcitation_filter
id
0Ventral Tegmental Area (VTA)Nucleus Accumbens (NAc)465.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Ventral Tegmental Area (VTA)405.0-1.0vta_indicator abc.Indicator at 0x5005394320\\nFields:\\n description: <description of the indicator for VTA>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: vta_virus_injection abc.ViralVectorInjection at 0x5005394000\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for VTA>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: vta_virus abc.ViralVector at 0x4996644560\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for VTA>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber1 abc.OpticalFiber at 0x4998151344\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4998151008\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_1 abc.OpticalFiberModel at 0x4998150672\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 1>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF001\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
2Prefrontal Cortex (PFC)465.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_calcium_signal abc.ExcitationSource at 0x4998150336\\nFields:\\n description: <description of the excitation source for the calcium signal (465nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_calcium abc.ExcitationSourceModel at 0x4998150000\\nFields:\\n description: <description of the excitation source model for calcium signal>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [460. 470.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n
3Prefrontal Cortex (PFC)Nucleus Accumbens (NAc)405.0-1.0pfc_indicator abc.Indicator at 0x4998144288\\nFields:\\n description: <description of the indicator for PFC>\\n label: <label of the indicator>\\n manufacturer: <manufacturer of the indicator>\\n viral_vector_injection: pfc_virus_injection abc.ViralVectorInjection at 0x4998143280\\nFields:\\n ap_in_mm: -1.0\\n description: <description of viral injection for PFC>\\n dv_in_mm: -1.0\\n hemisphere: <hemisphere>\\n location: <injection location>\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: pfc_virus abc.ViralVector at 0x4998143616\\nFields:\\n construct_name: <construct name>\\n description: <description of the viral vector for PFC>\\n manufacturer: <manufacturer of the viral vector>\\n titer_in_vg_per_ml: -1.0\\n\\n volume_in_uL: -1.0\\n\\noptical_fiber2 abc.OpticalFiber at 0x5005399760\\nFields:\\n description: <description of the optical fiber>\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005399440\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: <hemisphere>\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_2 abc.OpticalFiberModel at 0x5005399120\\nFields:\\n core_diameter_in_um: -1.0\\n description: <description of optical fiber model 2>\\n manufacturer: <manufacturer of the optical fiber>\\n model_number: <model of the optical fiber>\\n numerical_aperture: -1.0\\n\\n serial_number: OF002\\nexcitation_source_isosbestic_control abc.ExcitationSource at 0x5005398800\\nFields:\\n description: <description of the excitation source for the isosbestic control (405nm)>\\n exposure_time_in_s: -1.0\\n intensity_in_W_per_m2: -1.0\\n model: excitation_source_model_isosbestic abc.ExcitationSourceModel at 0x5005398480\\nFields:\\n description: <description of the excitation source model for isosbestic control>\\n excitation_mode: one-photon\\n manufacturer: <manufacturer of the excitation source>\\n model_number: <model of the excitation source>\\n source_type: LED\\n wavelength_range_in_nm: [400. 410.]\\n\\n power_in_W: -1.0\\nphotodetector abc.Photodetector at 0x5005721680\\nFields:\\n description: <description of the photodetector>\\n model: photodetector_model abc.PhotodetectorModel at 0x4998151680\\nFields:\\n description: <description of the photodetector model>\\n detector_type: photodiode\\n gain: -1.0\\n gain_unit: V/W\\n manufacturer: <manufacturer of the photodetector>\\n model_number: <model of the photodetector>\\n wavelength_range_in_nm: [400. 700.]\\n\\n serial_number: PD001\\ndichroic_mirror abc.DichroicMirror at 0x4998148992\\nFields:\\n description: <description of the dichroic mirror>\\n model: dichroic_mirror_model abc.DichroicMirrorModel at 0x4998148656\\nFields:\\n angle_of_incidence_in_degrees: -1.0\\n cut_off_wavelength_in_nm: -1.0\\n cut_on_wavelength_in_nm: -1.0\\n description: <description of the dichroic mirror model>\\n manufacturer: <manufacturer of the dichroic mirror>\\n model_number: <model of the dichroic mirror>\\n reflection_band_in_nm: [-1. -1.]\\n transmission_band_in_nm: [-1. -1.]\\n\\n serial_number: DM001\\nemission_filter abc.BandOpticalFilter at 0x4998149664\\nFields:\\n description: <description of emission filter>\\n model: emission_filter_model abc.BandOpticalFilterModel at 0x4998149328\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of emission filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the emission filter>\\n model_number: <model of the emission filter>\\n\\nexcitation_filter abc.BandOpticalFilter at 0x5005398160\\nFields:\\n description: <description of excitation filter>\\n model: excitation_filter_model abc.BandOpticalFilterModel at 0x5005397840\\nFields:\\n bandwidth_in_nm: -1.0\\n center_wavelength_in_nm: -1.0\\n description: <description of excitation filter model>\\n filter_type: Bandpass\\n manufacturer: <manufacturer of the excitation filter>\\n model_number: <model of the excitation filter>\\n\\n525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
fiber_photometry_indicators
indicators
pfc_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_indicator
label:
description:
manufacturer:
viral_vector_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_viruses
viral_vectors
pfc_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
fiber_photometry_virus_injections
viral_vector_injections
pfc_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
vta_virus_injection
description:
location:
hemisphere:
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: -1.0
viral_vector
construct_name:
description:
manufacturer:
titer_in_vg_per_ml: -1.0
optogenetic_experiment_metadata
stimulation_software: TDT Synapse
optogenetic_sites_table
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", + "
fiber_photometry_indicators (FiberPhotometryIndicators)
indicator_da_NAc (Indicator)
label: GRAB-DA2h
description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_viruses (FiberPhotometryViruses)
virus_da_NAc (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_virus_injections (FiberPhotometryVirusInjections)
virus_injection_da_NAc (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
optogenetic_experiment_metadata (OptogeneticExperimentMetadata)
stimulation_software: TDT Synapse
optogenetic_sites_table (OptogeneticSitesTable)
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", " \n", " \n", " \n", @@ -713,44 +436,25 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
0optical_fiberVTA abc.OpticalFiber at 0x4997590080\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4997589776\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_vta abc.Effector at 0x5005396880\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_vta abc.ViralVectorInjection at 0x4997588864\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
1optical_fiberBF abc.OpticalFiber at 0x5005400720\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x5005400400\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_bf abc.Effector at 0x4998147648\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_bf abc.ViralVectorInjection at 0x5005396240\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
2optical_fiberLC abc.OpticalFiber at 0x4997589472\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the LC.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x4997589168\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model abc.OpticalFiberModel at 0x5005400080\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_lc abc.Effector at 0x5005396560\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_lc abc.ViralVectorInjection at 0x4997585216\\nFields:\\n ap_in_mm: -5.5\\n description: Viral injection into the Locus Coeruleus (LC).\\n dv_in_mm: -3.6\\n hemisphere: right\\n location: Locus Coeruleus (LC)\\n ml_in_mm: 0.9\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x5005395920\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x5005401360\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x5005401040\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiber_mVTA abc.OpticalFiber at 0x13327366288\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13327365968\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x13327365648\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_mVTA abc.Effector at 0x13328119664\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_mVTA abc.ViralVectorInjection at 0x13327364048\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x13327363728\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x13327366928\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x13327366608\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses
viral_vectors
virus
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections
viral_vector_injections
virus_injection_bf
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_lc
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
virus_injection_vta
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors
effectors
chrimsonR_bf
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_lc
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the LC.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Locus Coeruleus (LC).
location: Locus Coeruleus (LC)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -5.5
ml_in_mm: 0.9
dv_in_mm: -3.6
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
chrimsonR_vta
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.
manufacturer: Addgene
viral_vector_injection
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.7
viral_vector
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
session_id: M301-241108-072001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" + "
optogenetic_viruses (OptogeneticViruses)
virus (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections (OptogeneticVirusInjections)
virus_injection_mVTA (ViralVectorInjection)
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors (OptogeneticEffectors)
chrimsonR_mVTA (Effector)
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
session_id: M301-240904-072001_use_Bing-opto-signal
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.9.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" ], "text/plain": [ - "root pynwb.file.NWBFile at 0x5005724368\n", + "root pynwb.file.NWBFile at 0x13338545856\n", "Fields:\n", " acquisition: {\n", " Video1 ,\n", - " calcium_signalPFC ,\n", - " calcium_signalVTA ,\n", - " isosbestic_controlPFC ,\n", - " isosbestic_controlVTA \n", + " calcium_signal_NAc ,\n", + " isosbestic_control_NAc \n", " }\n", " device_models: {\n", - " dichroic_mirror_model ,\n", - " emission_filter_model ,\n", - " excitation_filter_model ,\n", - " excitation_source_model_calcium ,\n", - " excitation_source_model_isosbestic ,\n", - " optical_fiber_model ,\n", - " optical_fiber_model_1 ,\n", - " optical_fiber_model_2 ,\n", + " excitation_source_model ,\n", + " optical_fiber_model_fiber_photometry ,\n", + " optical_fiber_model_optogenetics ,\n", " optogenetic_excitation_source_model ,\n", " photodetector_model \n", " }\n", @@ -758,16 +462,9 @@ " DeviceEEG ,\n", " DeviceEMG ,\n", " Video1 Camera Device ,\n", - " dichroic_mirror ,\n", - " emission_filter ,\n", - " excitation_filter ,\n", - " excitation_source_calcium_signal ,\n", - " excitation_source_isosbestic_control ,\n", - " optical_fiber1 ,\n", - " optical_fiber2 ,\n", - " optical_fiberBF ,\n", - " optical_fiberLC ,\n", - " optical_fiberVTA ,\n", + " excitation_source ,\n", + " optical_fiber_NAc ,\n", + " optical_fiber_mVTA ,\n", " optogenetic_excitation_source ,\n", " photodetector \n", " }\n", @@ -776,9 +473,10 @@ " ElectrodeGroupEMG \n", " }\n", " electrodes: electrodes \n", + " experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", - " file_create_date: [datetime.datetime(2025, 10, 1, 17, 20, 2, 214253, tzinfo=tzoffset(None, -25200))]\n", - " identifier: a53a5795-fc9f-4b6f-be88-504dd5939041\n", + " file_create_date: [datetime.datetime(2026, 2, 9, 17, 30, 33, 102717, tzinfo=tzoffset(None, -28800))]\n", + " identifier: 2d5a538e-a6a5-4ddb-a1ef-c503fb589909\n", " institution: University of California Berkeley\n", " intervals: {\n", " optogenetic_pulses \n", @@ -793,20 +491,20 @@ " ecephys \n", " }\n", " session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", - " session_id: M301-241108-072001\n", - " session_start_time: 2024-11-08 07:20:06-08:00\n", - " source_script: Created using NeuroConv v0.8.2\n", + " session_id: M301-240904-072001_use_Bing-opto-signal\n", + " session_start_time: 2024-09-04 07:20:06-07:00\n", + " source_script: Created using NeuroConv v0.9.2\n", " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x5005722352\n", + " subject: subject pynwb.file.Subject at 0x13338544176\n", "Fields:\n", - " age: P0D/\n", " age__reference: birth\n", + " date_of_birth: 2024-05-26 00:00:00-07:00\n", " description: Mice were used for all experiments.\n", - " sex: U\n", + " sex: M\n", " species: Mus musculus\n", " subject_id: M301\n", "\n", - " timestamps_reference_time: 2024-11-08 07:20:06-08:00" + " timestamps_reference_time: 2024-09-04 07:20:06-07:00" ] }, "metadata": {}, @@ -815,7 +513,7 @@ ], "source": [ "DANDISET_ID = '001617'\n", - "file_path = 'sub-M301/sub-M301_ses-M301-241108-072001_ecephys+image.nwb'\n", + "file_path = 'sub-M301/sub-M301_ses-M301-240904-072001-use-Bing-opto-signal_ecephys+image.nwb'\n", "nwbfile, io = stream_nwbfile(DANDISET_ID, file_path)\n", "display(nwbfile)" ] @@ -836,15 +534,12 @@ "outputs": [], "source": [ "# Fiber Photometry\n", - "fp_signal_pfc_data = nwbfile.acquisition[\"calcium_signalPFC\"].data[:]\n", - "fp_control_pfc_data = nwbfile.acquisition[\"isosbestic_controlPFC\"].data[:]\n", - "fp_df_pfc_data = fp_signal_pfc_data - fp_control_pfc_data\n", - "fp_signal_vta_data = nwbfile.acquisition[\"calcium_signalVTA\"].data[:]\n", - "fp_control_vta_data = nwbfile.acquisition[\"isosbestic_controlVTA\"].data[:]\n", - "fp_df_vta_data = fp_signal_vta_data - fp_control_vta_data\n", - "fp_starting_time = nwbfile.acquisition[\"calcium_signalPFC\"].starting_time\n", - "fp_rate = nwbfile.acquisition[\"calcium_signalPFC\"].rate\n", - "fp_timestamps = np.arange(fp_starting_time, fp_starting_time + (len(fp_signal_pfc_data) / fp_rate), 1 / fp_rate)\n", + "fp_signal_nac_data = nwbfile.acquisition[\"calcium_signal_NAc\"].data[:]\n", + "fp_control_nac_data = nwbfile.acquisition[\"isosbestic_control_NAc\"].data[:]\n", + "fp_df_nac_data = fp_signal_nac_data - fp_control_nac_data\n", + "fp_starting_time = nwbfile.acquisition[\"calcium_signal_NAc\"].starting_time\n", + "fp_rate = nwbfile.acquisition[\"calcium_signal_NAc\"].rate\n", + "fp_timestamps = np.arange(fp_starting_time, fp_starting_time + (len(fp_signal_nac_data) / fp_rate), 1 / fp_rate)\n", "\n", "# EEG and EMG\n", "eeg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].data[:]\n", @@ -887,9 +582,9 @@ }, { "data": { - "image/png": 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"text/plain": [ - "
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" ] }, "metadata": {}, @@ -914,36 +609,30 @@ "normalized_fp_timestamps = fp_timestamps[fp_slice] - pulse_start_time\n", "normalized_ephys_timestamps = ephys_timestamps[ephys_slice] - pulse_start_time\n", "\n", - "fig, axs = plt.subplots(6, 1, figsize=(20, 12), sharex=True)\n", + "fig, axs = plt.subplots(5, 1, figsize=(20, 12), sharex=True)\n", "axs[0].set_title(\"Example Test Pulse\")\n", "\n", - "axs[0].plot(normalized_fp_timestamps, fp_signal_pfc_data[fp_slice], color=\"k\", label=\"FP Signal PFC\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_control_pfc_data[fp_slice], color=\"r\", label=\"FP Control PFC\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_signal_vta_data[fp_slice], color=\"g\", label=\"FP Signal VTA\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_control_vta_data[fp_slice], color=\"b\", label=\"FP Control VTA\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_nac_data[fp_slice], color=\"k\", label=\"FP Signal NAc\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_nac_data[fp_slice], color=\"r\", label=\"FP Control NAc\")\n", "axs[0].set_ylabel(\"Fluorescence (a.u.)\")\n", "axs[0].legend()\n", "\n", - "axs[1].plot(normalized_fp_timestamps, fp_df_pfc_data[fp_slice], color=\"k\", label=\"FP dF PFC\")\n", + "axs[1].plot(normalized_fp_timestamps, fp_df_nac_data[fp_slice], color=\"k\", label=\"FP dF NAc\")\n", "axs[1].set_ylabel(\"dF (a.u.)\")\n", "axs[1].legend()\n", "\n", - "axs[2].plot(normalized_fp_timestamps, fp_df_vta_data[fp_slice], color=\"b\", label=\"FP dF VTA\")\n", - "axs[2].set_ylabel(\"dF (a.u.)\")\n", - "axs[2].legend()\n", + "axs[2].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[2].set_ylabel(\"EEG (uV)\")\n", + "axs[2].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", "\n", - "axs[3].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", - "axs[3].set_ylabel(\"EEG (uV)\")\n", - "axs[3].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "axs[3].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[3].set_ylabel(\"EMG (uV)\")\n", + "axs[3].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", "\n", - "axs[4].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", - "axs[4].set_ylabel(\"EMG (uV)\")\n", - "axs[4].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", - "\n", - "axs[5].axvspan(0, normalized_pulse_stop_time, color=\"blue\", alpha=0.5)\n", - "axs[5].set_xlabel(\"Time relative to the pulse onset (s)\")\n", - "axs[5].set_yticklabels([])\n", - "axs[5].set_ylabel(\"Optogenetic Stimulation\")" + "axs[4].axvspan(0, normalized_pulse_stop_time, color=\"blue\", alpha=0.5)\n", + "axs[4].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[4].set_yticklabels([])\n", + "axs[4].set_ylabel(\"Optogenetic Stimulation\")" ] }, { @@ -972,9 +661,9 @@ }, { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -1000,44 +689,553 @@ "normalized_pulse_start_times = example_pulse_train[\"start_time\"] - pulse_start_time\n", "normalized_pulse_stop_times = example_pulse_train[\"stop_time\"] - pulse_start_time\n", "\n", - "fig, axs = plt.subplots(6, 1, figsize=(20, 12), sharex=True)\n", + "fig, axs = plt.subplots(5, 1, figsize=(20, 12), sharex=True)\n", "axs[0].set_title(\"Example 'Intense Stimulation' Pulse Train\")\n", "\n", - "axs[0].plot(normalized_fp_timestamps, fp_signal_pfc_data[fp_slice], color=\"k\", label=\"FP Signal PFC\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_control_pfc_data[fp_slice], color=\"r\", label=\"FP Control PFC\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_signal_vta_data[fp_slice], color=\"g\", label=\"FP Signal VTA\")\n", - "axs[0].plot(normalized_fp_timestamps, fp_control_vta_data[fp_slice], color=\"b\", label=\"FP Control VTA\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_signal_nac_data[fp_slice], color=\"k\", label=\"FP Signal NAc\")\n", + "axs[0].plot(normalized_fp_timestamps, fp_control_nac_data[fp_slice], color=\"r\", label=\"FP Control NAc\")\n", "axs[0].set_ylabel(\"Fluorescence (a.u.)\")\n", "axs[0].legend()\n", "\n", - "axs[1].plot(normalized_fp_timestamps, fp_df_pfc_data[fp_slice], color=\"k\", label=\"FP dF PFC\")\n", + "axs[1].plot(normalized_fp_timestamps, fp_df_nac_data[fp_slice], color=\"k\", label=\"FP dF NAc\")\n", "axs[1].set_ylabel(\"dF (a.u.)\")\n", "axs[1].legend()\n", "\n", - "axs[2].plot(normalized_fp_timestamps, fp_df_vta_data[fp_slice], color=\"b\", label=\"FP dF VTA\")\n", - "axs[2].set_ylabel(\"dF (a.u.)\")\n", - "axs[2].legend()\n", - "\n", - "axs[3].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", - "axs[3].set_ylabel(\"EEG (uV)\")\n", - "axs[3].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "axs[2].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[2].set_ylabel(\"EEG (uV)\")\n", + "axs[2].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", "\n", - "axs[4].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", - "axs[4].set_ylabel(\"EMG (uV)\")\n", - "axs[4].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", + "axs[3].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[3].set_ylabel(\"EMG (uV)\")\n", + "axs[3].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", "\n", "for start, stop in zip(normalized_pulse_start_times, normalized_pulse_stop_times):\n", - " axs[5].axvspan(start, stop, color=\"blue\", alpha=0.5)\n", - "axs[5].set_xlabel(\"Time relative to the pulse onset (s)\")\n", - "axs[5].set_yticklabels([])\n", - "axs[5].set_ylabel(\"Optogenetic Stimulation\")" + " axs[4].axvspan(start, stop, color=\"blue\", alpha=0.5)\n", + "axs[4].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[4].set_yticklabels([])\n", + "axs[4].set_ylabel(\"Optogenetic Stimulation\")" + ] + }, + { + "cell_type": "markdown", + "id": "f29cac4e", + "metadata": {}, + "source": [ + "## Opto-behavioral Example Session" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "b1a1c4bf", "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: c29d805f-5890-4b2d-8372-a19631d6c9ca
session_start_time2024-08-19 07:10:06-07:00
timestamps_reference_time2024-08-19 07:10:06-07:00
file_create_date
02026-02-09 17:31:38.395888-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
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timestamps
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['sub-M008_ses-BBB8-240819-071001-opto-behavioral_ecephys+image/987cbac8-26f9-43be-8ef2-4a97ab2f80fd_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
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format: external
device (Device)
description: Video camera used for recording.
keywords
HDF5 dataset
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['fiber photometry' 'optogenetics' 'sleep']
processing
ecephys (ProcessingModule)
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
ElectricalSeriesEEG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
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starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
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locationgroupgroup_namechannel_name
id
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EMG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(15253248, 2)
Array size58.19 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)61012992
Compressed size (bytes)37878346
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starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
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locationgroupgroup_namechannel_name
id
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes (ElectrodesTable)
description: metadata about extracellular electrodes
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locationgroupgroup_namechannel_name
id
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device (Device)
description: Video camera used for recording.
optical_fiber_BF (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the BF.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
device_models
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
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start_timestop_timepower_in_mWwavelength_in_nmstimulus_typeoptogenetic_sites
id
00.0003280.00065520.0635.0test_pulse[0]
164.42450964.42483720.0635.0test_pulse[0]
2128.848691128.84901920.0635.0test_pulse[0]
3183.863378183.86370620.0635.0test_pulse[0]

... and 60273 more row(s).

subject (Subject)
age__reference: birth
description: Mice were used for all experiments.
sex: M
species: Mus musculus
subject_id: M008
date_of_birth2024-06-17 00:00:00-07:00
lab_meta_data
optogenetic_experiment_metadata (OptogeneticExperimentMetadata)
stimulation_software: TDT Synapse
optogenetic_sites_table (OptogeneticSitesTable)
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
optical_fibereffectorexcitation_source
id
0optical_fiber_BF abc.OpticalFiber at 0x14758593600\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x14758593264\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x14758592928\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_BF abc.Effector at 0x14752300208\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_BF abc.ViralVectorInjection at 0x14752299536\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x14752296848\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x14758594272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x14758593936\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses (OptogeneticViruses)
virus (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections (OptogeneticVirusInjections)
virus_injection_BF (ViralVectorInjection)
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors (OptogeneticEffectors)
chrimsonR_BF (Effector)
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
session_id: BBB8-240819-071001-opto-behavioral
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.9.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" + ], + "text/plain": [ + "root pynwb.file.NWBFile at 0x14064022736\n", + "Fields:\n", + " acquisition: {\n", + " Video1 \n", + " }\n", + " device_models: {\n", + " optical_fiber_model_optogenetics ,\n", + " optogenetic_excitation_source_model \n", + " }\n", + " devices: {\n", + " DeviceEEG ,\n", + " DeviceEMG ,\n", + " Video1 Camera Device ,\n", + " optical_fiber_BF ,\n", + " optogenetic_excitation_source \n", + " }\n", + " electrode_groups: {\n", + " ElectrodeGroupEEG ,\n", + " ElectrodeGroupEMG \n", + " }\n", + " electrodes: electrodes \n", + " experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", + " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", + " file_create_date: [datetime.datetime(2026, 2, 9, 17, 31, 38, 395888, tzinfo=tzoffset(None, -28800))]\n", + " identifier: c29d805f-5890-4b2d-8372-a19631d6c9ca\n", + " institution: University of California Berkeley\n", + " intervals: {\n", + " optogenetic_pulses \n", + " }\n", + " keywords: \n", + " lab: Dan Lab\n", + " lab_meta_data: {\n", + " optogenetic_experiment_metadata \n", + " }\n", + " processing: {\n", + " ecephys \n", + " }\n", + " session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", + " session_id: BBB8-240819-071001-opto-behavioral\n", + " session_start_time: 2024-08-19 07:10:06-07:00\n", + " source_script: Created using NeuroConv v0.9.2\n", + " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", + " subject: subject pynwb.file.Subject at 0x14064021456\n", + "Fields:\n", + " age__reference: birth\n", + " date_of_birth: 2024-06-17 00:00:00-07:00\n", + " description: Mice were used for all experiments.\n", + " sex: M\n", + " species: Mus musculus\n", + " subject_id: M008\n", + "\n", + " timestamps_reference_time: 2024-08-19 07:10:06-07:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "file_path = \"sub-M008/sub-M008_ses-BBB8-240819-071001-opto-behavioral_ecephys+image.nwb\"\n", + "nwbfile, io = stream_nwbfile(DANDISET_ID, file_path)\n", + "display(nwbfile)" + ] + }, + { + "cell_type": "markdown", + "id": "b8b2885b", + "metadata": {}, + "source": [ + "Retrieve the Ephys and Optogenetic Stimulation Data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "87b5af96", + "metadata": {}, + "outputs": [], + "source": [ + "# EEG and EMG\n", + "eeg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].data[:]\n", + "eeg_data_in_uV = eeg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].conversion * 1e6\n", + "emg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].data[:]\n", + "emg_data_in_uV = emg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].conversion * 1e6\n", + "ephys_starting_time = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].starting_time\n", + "ephys_rate = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].rate\n", + "ephys_timestamps = np.arange(ephys_starting_time, ephys_starting_time + (len(eeg_data) / ephys_rate), 1 / ephys_rate)\n", + "\n", + "# Optogenetic Stimulation\n", + "ogen_df = nwbfile.intervals[\"optogenetic_pulses\"].to_dataframe()\n", + "test_pulse_df = ogen_df[ogen_df[\"stimulus_type\"] == \"test_pulse\"]\n", + "intense_stim_df = ogen_df[ogen_df[\"stimulus_type\"] == \"intense_stimulation\"]" + ] + }, + { + "cell_type": "markdown", + "id": "8ce7c477", + "metadata": {}, + "source": [ + "Plot test pulse" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "65c821dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Optogenetic Stimulation')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_pulse = test_pulse_df.iloc[2]\n", + "\n", + "# Define plot parameters\n", + "grace_time = 0.25\n", + "\n", + "# Define time windows for plotting\n", + "plot_start_time = example_pulse[\"start_time\"] - grace_time\n", + "plot_end_time = example_pulse[\"stop_time\"] + grace_time\n", + "fp_slice = slice(int(plot_start_time * fp_rate), int(plot_end_time * fp_rate))\n", + "ephys_slice = slice(int(plot_start_time * ephys_rate), int(plot_end_time * ephys_rate))\n", + "\n", + "# Normalize times to pulse start time\n", + "pulse_start_time = example_pulse[\"start_time\"]\n", + "normalized_pulse_stop_time = example_pulse[\"stop_time\"] - pulse_start_time\n", + "normalized_fp_timestamps = fp_timestamps[fp_slice] - pulse_start_time\n", + "normalized_ephys_timestamps = ephys_timestamps[ephys_slice] - pulse_start_time\n", + "\n", + "fig, axs = plt.subplots(3, 1, figsize=(20, 12), sharex=True)\n", + "axs[0].set_title(\"Example Test Pulse\")\n", + "\n", + "axs[0].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[0].set_ylabel(\"EEG (uV)\")\n", + "axs[0].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "\n", + "axs[1].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[1].set_ylabel(\"EMG (uV)\")\n", + "axs[1].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", + "\n", + "axs[2].axvspan(0, normalized_pulse_stop_time, color=\"blue\", alpha=0.5)\n", + "axs[2].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[2].set_yticklabels([])\n", + "axs[2].set_ylabel(\"Optogenetic Stimulation\")" + ] + }, + { + "cell_type": "markdown", + "id": "b24b248c", + "metadata": {}, + "source": [ + "Plot Intense Stimulation Pulse Train" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e0629768", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Optogenetic Stimulation')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_pulse_train = intense_stim_df.iloc[:4]\n", + "\n", + "# Define plot parameters\n", + "grace_time = 0.25\n", + "\n", + "# Define time windows for plotting\n", + "plot_start_time = example_pulse_train[\"start_time\"].iloc[0] - grace_time\n", + "plot_end_time = example_pulse_train[\"stop_time\"].iloc[-1] + grace_time\n", + "fp_slice = slice(int(plot_start_time * fp_rate), int(plot_end_time * fp_rate))\n", + "ephys_slice = slice(int(plot_start_time * ephys_rate), int(plot_end_time * ephys_rate))\n", + "\n", + "# Normalize times to pulse start time\n", + "pulse_start_time = example_pulse_train[\"start_time\"].iloc[0]\n", + "normalized_fp_timestamps = fp_timestamps[fp_slice] - pulse_start_time\n", + "normalized_ephys_timestamps = ephys_timestamps[ephys_slice] - pulse_start_time\n", + "normalized_pulse_start_times = example_pulse_train[\"start_time\"] - pulse_start_time\n", + "normalized_pulse_stop_times = example_pulse_train[\"stop_time\"] - pulse_start_time\n", + "\n", + "fig, axs = plt.subplots(3, 1, figsize=(20, 12), sharex=True)\n", + "axs[0].set_title(\"Example 'Intense Stimulation' Pulse Train\")\n", + "\n", + "axs[0].plot(normalized_ephys_timestamps, eeg_data_in_uV[ephys_slice])\n", + "axs[0].set_ylabel(\"EEG (uV)\")\n", + "axs[0].legend([\"EEG Channel 1\", \"EEG Channel 2\"])\n", + "\n", + "axs[1].plot(normalized_ephys_timestamps, emg_data_in_uV[ephys_slice])\n", + "axs[1].set_ylabel(\"EMG (uV)\")\n", + "axs[1].legend([\"EMG Channel 1\", \"EMG Channel 2\"])\n", + "\n", + "for start, stop in zip(normalized_pulse_start_times, normalized_pulse_stop_times):\n", + " axs[2].axvspan(start, stop, color=\"blue\", alpha=0.5)\n", + "axs[2].set_xlabel(\"Time relative to the pulse onset (s)\")\n", + "axs[2].set_yticklabels([])\n", + "axs[2].set_ylabel(\"Optogenetic Stimulation\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b777612", + "metadata": {}, "outputs": [], "source": [] } From ad7c600e1819221fb2c7649ff9ad5eb2fa4747d0 Mon Sep 17 00:00:00 2001 From: pauladkisson Date: Tue, 10 Feb 2026 09:51:59 -0800 Subject: [PATCH 10/11] Updated README.md and renamed example_notebook.ipynb. --- 001617/README.md | 7 +- 001617/behavior_example_notebook.ipynb | 708 ------------------ ..._notebook.ipynb => example_notebook.ipynb} | 0 3 files changed, 3 insertions(+), 712 deletions(-) delete mode 100644 001617/behavior_example_notebook.ipynb rename 001617/{photometry_example_notebook.ipynb => example_notebook.ipynb} (100%) diff --git a/001617/README.md b/001617/README.md index 056ea45..3eeefde 100644 --- a/001617/README.md +++ b/001617/README.md @@ -1,8 +1,7 @@ # Example Sessions for Dandiset 001617 -This submission provides 2 notebooks showcasing example sessions for the Dandiset 001617. +This submission provides a notebook showcasing example sessions for the Dandiset 001617. -Each notebook provides an example of how to access the critical data and metadata from the 2 types of experiments in the dataset: +The notebook provides an example of how to access the critical data and metadata from the 2 types of experiments in the dataset: -- `photometry_example_notebook.ipynb` showcases one example session from the 001617 dataset containing concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation. -- `behavior_example_notebook.ipynb` showcases one example session from the 001617 dataset containing labeled sleep/wake behavior, concurrent electrophysiology recordings, and DeepLabCut pose estimation. \ No newline at end of file +- `example_notebook.ipynb` showcases two example sessions from the 001617 dataset. The first contains concurrent fiber photometry recordings, electrophysiology recordings, and optogenetic stimulation. The second contains only electrophysiology recordings, and optogenetic stimulation. \ No newline at end of file diff --git a/001617/behavior_example_notebook.ipynb b/001617/behavior_example_notebook.ipynb deleted file mode 100644 index 1dd4c22..0000000 --- a/001617/behavior_example_notebook.ipynb +++ /dev/null @@ -1,708 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "697cc78a", - "metadata": {}, - "source": [ - "# Behavior Example Notebook" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "4320b5e1", - "metadata": {}, - "outputs": [], - "source": [ - "from stream_nwbfile import stream_nwbfile\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import networkx as nx" - ] - }, - { - "cell_type": "markdown", - "id": "95d055f2", - "metadata": {}, - "source": [ - "This notebook showcases one example session from the 001617 dataset containing labeled sleep/wake behavior, concurrent electrophysiology recordings, and DeepLabCut pose estimation." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "8b09f50f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "A newer version (0.71.4) of dandi/dandi-cli is available. You are using 0.67.2\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and pose estimation data were collected.
identifier: 4985d118-035c-47e3-b7a2-cb7cc639cdf9
session_start_time2025-04-12 08:10:07-07:00
timestamps_reference_time2025-04-12 08:10:07-07:00
file_create_date
02025-10-01 17:31:52.199503-07:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video2
starting_time: 0.0
rate: 10.0
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
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Shape(0, 0, 0)
Array size0.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratioundefined

[]
starting_time_unit: seconds
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
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Compression ratio0.5

[b'sub-M405-M407_ses-M405-M407-250412-081001_ecephys+image/ae4e92e7-a7e8-41a0-9a06-f15179bb2436_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device
description: Video camera used for recording.
keywords
HDF5 dataset
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Array size24.00 bytes
Chunk shapeNone
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Compression ratio0.5

[b'pose estimation' b'electrophysiology' b'sleep']
processing
behavior
description: processed behavioral data
data_interfaces
PoseEstimationDeepLabCut
pose_estimation_series
PoseEstimationSeriesCenterbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3031152719625525
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3707180597286857
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3834486869556577
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3708132345947415
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesCenterbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for centerbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3667081475513774
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesHeadstage
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for headstage.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2860818295515455
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2798541296282364
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.314004880925708
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.297206908967954
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3179173589983324
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.342370709382151
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesLeftear
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for leftear.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.269743533140438
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesNose
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for nose.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2570050733066847
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.282848326918674
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.304823130531549
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.328241427310691
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody4
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody4.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.334223184369432
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightbody5
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightbody5.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.3454287716096656
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesRightear
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for rightear.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.277417128369325
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail1
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail1.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.236308396196461
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail2
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail2.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.254623271076252
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTail3
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tail3.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.291269515180878
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTailbase
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tailbase.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.369913039720196
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
PoseEstimationSeriesTailtip
starting_time: 0.0
rate: 1.0
resolution: -1.0
comments: no comments
description: Pose estimation series for tailtip.
conversion: 1.0
offset: 0.0
unit: pixels
data
HDF5 dataset
Data typefloat64
Shape(143946, 2)
Array size2.20 MiB
Chunk shape(143946, 2)
Compressiongzip
Compression opts4
Compression ratio2.2144814496449157
starting_time_unit: seconds
reference_frame: (0,0) corresponds to the bottom left corner of the video.
confidence
HDF5 dataset
Data typefloat64
Shape(143946,)
Array size1.10 MiB
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0
confidence__definition: Softmax output of the deep neural network.
description: 2D keypoint coordinates estimated using DeepLabCut.
original_videos
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5

[b'/Volumes/T7/CatalystNeuro/Dan/Test - video analysis/M407/M407-S1/Lindsay_SBOX_2animals_R-250411-223215_M405_M407-250412-081001_Cam2.avi']
dimensions
HDF5 dataset
Data typeuint64
Shape(1, 2)
Array size16.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio1.0

[[480 640]]
scorer: DLC_resnet50_Box2BehaviorSep10shuffle1_100000
source_software: DeepLabCut
skeleton
nodes
HDF5 dataset
Data typeobject
Shape(24,)
Array size192.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5
devices
CameraPoseEstimationDeepLabCut
description: Camera used for behavioral recording and pose estimation.
Skeletons
skeletons
SkeletonPoseEstimationDeepLabCut_Ind1
nodes
HDF5 dataset
Data typeobject
Shape(24,)
Array size192.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Compression ratio0.5
behavioral_summary
description: Summary of behavioral states for the session
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
t_LMt_NLt_QWt_NREMt_REMdistance_in_nestdistance_out_of_nesttime_in_nesttime_out_of_nest
id
00.0459640.1238270.4852120.2684910.0765071501.7986741060.22739212125.32097.2
ecephys
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
data_interfaces
ElectricalSeriesEEG
starting_time: 0.0
rate: 1017.252625
resolution: -1.0
comments: no comments
description: EEG voltage data was recorded by a TDT acquisition system. A second backup channel was recorded in case the signal in the first channel is compromised. During data extraction, the redundant channel was discarded to conserve space.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(14642688, 1)
Array size27.93 MiB
Chunk shape(5000000, 1)
Compressiongzip
Compression opts4
Compression ratio1.6901832577219058
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
ElectricalSeriesEMG
starting_time: 0.0
rate: 1017.252625
resolution: -1.0
comments: no comments
description: EMG voltage data was recorded by a TDT acquisition system. A second backup channel was recorded in case the signal in the first channel is compromised. During data extraction, the redundant channel was discarded to conserve space.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(14642688, 1)
Array size27.93 MiB
Chunk shape(5000000, 1)
Compressiongzip
Compression opts4
Compression ratio1.6394269821416996
starting_time_unit: seconds
electrodes
description: electrode_table_region
table
description: metadata about extracellular electrodes
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
filtering: The data was band-pass filtered between 0.5 Hz and 750 Hz using second-order filters. Notch filters were applied at 60 Hz, 120 Hz, 180 Hz, and 240 Hz with 20 dB attenuation and 1/10th octave bandwidth to remove power line interference and its harmonics.
electrodes
description: metadata about extracellular electrodes
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationgroupchannel_namegroup_name
id
0Brain Region ZElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x4954096368\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x4954079632\\nFields:\\n description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.\\n manufacturer: Dan Lab\\n\\n location: Brain Region Z\\nEEG1ElectrodeGroupEEG
1Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x4954079952\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x4951328320\\nFields:\\n description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nEMG1ElectrodeGroupEMG
electrode_groups
ElectrodeGroupEEG
description: ElectrodeGroup for EEG channels.
location: Brain Region Z
device
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
ElectrodeGroupEMG
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
CameraPoseEstimationDeepLabCut
description: Camera used for behavioral recording and pose estimation.
DeviceEEG
description: EEG electrodes consist of 2 wires with X um diameter made of material Y wrapped around a metal screw inserted into the brain in location Z.
manufacturer: Dan Lab
DeviceEMG
description: EMG electrodes consist of 2 wires with X um diameter made of material Y inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video2 Camera Device
description: Video camera used for recording.
intervals
epochs
description: experimental epochs
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
start_timestop_timetags
id
00.05.0[WAKE]
15.010.0[WAKE]
210.015.0[WAKE]
315.020.0[WAKE]

... and 2874 more rows.

subject
age: P0D/
age__reference: birth
description: Mice were used for all experiments.
sex: U
species: Mus musculus
subject_id: M405_M407
epochs
description: experimental epochs
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
start_timestop_timetags
id
00.05.0[WAKE]
15.010.0[WAKE]
210.015.0[WAKE]
315.020.0[WAKE]

... and 2874 more rows.

session_id: M405_M407-250412-081001
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.8.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" - ], - "text/plain": [ - "root pynwb.file.NWBFile at 0x4954098048\n", - "Fields:\n", - " acquisition: {\n", - " Video2 \n", - " }\n", - " devices: {\n", - " CameraPoseEstimationDeepLabCut ,\n", - " DeviceEEG ,\n", - " DeviceEMG ,\n", - " Video2 Camera Device \n", - " }\n", - " electrode_groups: {\n", - " ElectrodeGroupEEG ,\n", - " ElectrodeGroupEMG \n", - " }\n", - " electrodes: electrodes \n", - " epochs: epochs \n", - " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", - " file_create_date: [datetime.datetime(2025, 10, 1, 17, 31, 52, 199503, tzinfo=tzoffset(None, -25200))]\n", - " identifier: 4985d118-035c-47e3-b7a2-cb7cc639cdf9\n", - " institution: University of California Berkeley\n", - " intervals: {\n", - " epochs \n", - " }\n", - " keywords: \n", - " lab: Dan Lab\n", - " processing: {\n", - " behavior ,\n", - " ecephys \n", - " }\n", - " session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and pose estimation data were collected.\n", - " session_id: M405_M407-250412-081001\n", - " session_start_time: 2025-04-12 08:10:07-07:00\n", - " source_script: Created using NeuroConv v0.8.2\n", - " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x4954096032\n", - "Fields:\n", - " age: P0D/\n", - " age__reference: birth\n", - " description: Mice were used for all experiments.\n", - " sex: U\n", - " species: Mus musculus\n", - " subject_id: M405_M407\n", - "\n", - " timestamps_reference_time: 2025-04-12 08:10:07-07:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "DANDISET_ID = '001617'\n", - "file_path = 'sub-M405-M407/sub-M405-M407_ses-M405-M407-250412-081001_ecephys+image.nwb'\n", - "nwbfile, io = stream_nwbfile(DANDISET_ID, file_path)\n", - "display(nwbfile)" - ] - }, - { - "cell_type": "markdown", - "id": "18c9ef4c", - "metadata": {}, - "source": [ - "Get Sleep/Wake Data" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "5a82f70e", - "metadata": {}, - "outputs": [], - "source": [ - "epochs_df = nwbfile.epochs.to_dataframe()\n", - "all_wake = np.array([['WAKE'] * len(epochs_df)])[0]\n", - "all_rem = np.array([['REM'] * len(epochs_df)])[0]\n", - "all_nrem = np.array([['NREM'] * len(epochs_df)])[0]\n", - "wake_df = epochs_df[epochs_df.tags == all_wake]\n", - "rem_df = epochs_df[epochs_df.tags == all_rem]\n", - "nrem_df = epochs_df[epochs_df.tags == all_nrem]" - ] - }, - { - "cell_type": "markdown", - "id": "1fe1c388", - "metadata": {}, - "source": [ - "Plot Sleep/Wake Data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "cb3785b3", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(15, 5))\n", - "\n", - "# Plot each state as horizontal spans with spacing\n", - "for _, row in wake_df.iterrows():\n", - " plt.axvspan(row.start_time, row.stop_time, ymin=0.675, ymax=0.975, color='blue', alpha=0.7)\n", - " \n", - "for _, row in rem_df.iterrows():\n", - " plt.axvspan(row.start_time, row.stop_time, ymin=0.35, ymax=0.65, color='orange', alpha=0.7)\n", - " \n", - "for _, row in nrem_df.iterrows():\n", - " plt.axvspan(row.start_time, row.stop_time, ymin=0.025, ymax=0.325, color='green', alpha=0.7)\n", - "\n", - "plt.yticks([0.135, 0.5, 0.865], ['NREM', 'REM', 'WAKE'])\n", - "plt.xlabel('Time (s)')\n", - "plt.ylabel('Sleep/Wake State')\n", - "plt.title('Sleep/Wake State Transitions Over Time')\n", - "plt.xlim(0, epochs_df.stop_time.max())\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "id": "0698260c", - "metadata": {}, - "source": [ - "Get Electrophysiology Data" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "fe1a2592", - "metadata": {}, - "outputs": [], - "source": [ - "eeg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].data[:]\n", - "eeg_data_in_uV = eeg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].conversion * 1e6\n", - "emg_data = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].data[:]\n", - "emg_data_in_uV = emg_data * nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEMG\"].conversion * 1e6\n", - "ephys_starting_time = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].starting_time\n", - "ephys_rate = nwbfile.processing[\"ecephys\"].data_interfaces[\"ElectricalSeriesEEG\"].rate\n", - "ephys_timestamps = np.arange(ephys_starting_time, ephys_starting_time + (len(eeg_data) / ephys_rate), 1 / ephys_rate)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "ee7caa49", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "example_wake = wake_df.iloc[0]\n", - "example_rem = rem_df.iloc[0]\n", - "example_nrem = nrem_df.iloc[0]\n", - "\n", - "# Define time windows for plotting\n", - "start_time_wake = example_wake[\"start_time\"]\n", - "stop_time_wake = example_wake[\"stop_time\"]\n", - "wake_slice = slice(int(start_time_wake * ephys_rate), int(stop_time_wake * ephys_rate))\n", - "start_time_rem = example_rem[\"start_time\"]\n", - "stop_time_rem = example_rem[\"stop_time\"]\n", - "rem_slice = slice(int(start_time_rem * ephys_rate), int(stop_time_rem * ephys_rate))\n", - "start_time_nrem = example_nrem[\"start_time\"]\n", - "stop_time_nrem = example_nrem[\"stop_time\"]\n", - "nrem_slice = slice(int(start_time_nrem * ephys_rate), int(stop_time_nrem * ephys_rate))\n", - "\n", - "# Normalize times to start at 0 for each state\n", - "normalized_wake_timestamps = ephys_timestamps[wake_slice] - start_time_wake\n", - "normalized_rem_timestamps = ephys_timestamps[rem_slice] - start_time_rem\n", - "normalized_nrem_timestamps = ephys_timestamps[nrem_slice] - start_time_nrem\n", - "\n", - "# Plot EEG data for all states in one figure\n", - "fig_eeg, (ax_eeg_wake, ax_eeg_rem, ax_eeg_nrem) = plt.subplots(3, 1, figsize=(15, 10), sharex=True, sharey=True)\n", - "\n", - "ax_eeg_wake.plot(normalized_wake_timestamps, eeg_data_in_uV[wake_slice], color='blue', label='WAKE')\n", - "ax_eeg_wake.set_ylabel('Amplitude (µV)')\n", - "ax_eeg_wake.legend()\n", - "\n", - "ax_eeg_rem.plot(normalized_rem_timestamps, eeg_data_in_uV[rem_slice], color='orange', label='REM')\n", - "ax_eeg_rem.set_ylabel('Amplitude (µV)')\n", - "ax_eeg_rem.legend()\n", - "\n", - "ax_eeg_nrem.plot(normalized_nrem_timestamps, eeg_data_in_uV[nrem_slice], color='green', label='NREM')\n", - "ax_eeg_nrem.set_ylabel('Amplitude (µV)')\n", - "ax_eeg_nrem.set_xlabel('Time (s)')\n", - "ax_eeg_nrem.legend()\n", - "\n", - "fig_eeg.suptitle('EEG Across Sleep/Wake States')\n", - "plt.tight_layout()\n", - "\n", - "# Plot EMG data for all states in one figure\n", - "fig_emg, (ax_emg_wake, ax_emg_rem, ax_emg_nrem) = plt.subplots(3, 1, figsize=(15, 10), sharex=True, sharey=True)\n", - "\n", - "ax_emg_wake.plot(normalized_wake_timestamps, emg_data_in_uV[wake_slice], color='blue', label='WAKE')\n", - "ax_emg_wake.set_ylabel('Amplitude (µV)')\n", - "ax_emg_wake.legend()\n", - "\n", - "ax_emg_rem.plot(normalized_rem_timestamps, emg_data_in_uV[rem_slice], color='orange', label='REM')\n", - "ax_emg_rem.set_ylabel('Amplitude (µV)')\n", - "ax_emg_rem.legend()\n", - "\n", - "ax_emg_nrem.plot(normalized_nrem_timestamps, emg_data_in_uV[nrem_slice], color='green', label='NREM')\n", - "ax_emg_nrem.set_ylabel('Amplitude (µV)')\n", - "ax_emg_nrem.set_xlabel('Time (s)')\n", - "ax_emg_nrem.legend()\n", - "\n", - "fig_emg.suptitle('EMG Across Sleep/Wake States')\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "ab8195ea", - "metadata": {}, - "source": [ - "Get Pose Estimation Data" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "935bb3c2", - "metadata": {}, - "outputs": [], - "source": [ - "pose_estimation = nwbfile.processing[\"behavior\"].data_interfaces[\"PoseEstimationDeepLabCut\"]\n", - " \n", - "nodes = pose_estimation.skeleton.nodes[:]\n", - "edges = pose_estimation.skeleton.edges or []\n", - "pes = pose_estimation.pose_estimation_series\n", - "name_to_data = {name: series.data[:] for name, series in pes.items()}\n", - "pes_starting_time = pes[\"PoseEstimationSeriesCenterbody1\"].starting_time\n", - "pes_rate = pes[\"PoseEstimationSeriesCenterbody1\"].rate\n", - "pes_timestamps = np.arange(len(next(iter(name_to_data.values())))) / pes_rate + pes_starting_time\n", - "node_to_name = {node: f\"PoseEstimationSeries{node.capitalize()}\" for node in nodes}" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8abc2c43", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_pose_estimation(nodes, edges, name_to_data, node_to_name, timestamps):\n", - " \"\"\"\n", - " Plot pose estimation data with trajectory and skeleton structure.\n", - " \n", - " Parameters:\n", - " -----------\n", - " nodes : array-like\n", - " Node names for the pose estimation skeleton\n", - " edges : array-like\n", - " Edge connections between nodes\n", - " name_to_data : dict\n", - " Dictionary mapping node names to position data\n", - " node_to_name : dict\n", - " Dictionary mapping node indices to series names\n", - " timestamps : array-like\n", - " Timestamps for the pose estimation data\n", - " \"\"\"\n", - " fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 8))\n", - " \n", - " # Left plot: Average position scatter plot with trajectory\n", - " all_x = np.array([name_to_data[node_to_name[node]][:, 0] for node in nodes])\n", - " all_y = np.array([name_to_data[node_to_name[node]][:, 1] for node in nodes])\n", - "\n", - " x = np.nanmean(all_x, axis=0)\n", - " y = np.nanmean(all_y, axis=0)\n", - "\n", - " sc = ax1.scatter(x, y, c=timestamps, cmap='viridis', s=1)\n", - " ax1.set_xlabel('X Position')\n", - " ax1.set_ylabel('Y Position')\n", - " ax1.set_title('Average Position Trajectory')\n", - " plt.colorbar(sc, ax=ax1, label='Time (s)')\n", - " \n", - " # Right plot: Network graph using networkx\n", - " \n", - " # Create a graph\n", - " G = nx.Graph()\n", - " \n", - " # Add nodes\n", - " for i, node in enumerate(nodes):\n", - " G.add_node(i, label=node)\n", - " \n", - " # Add edges\n", - " for edge in edges:\n", - " G.add_edge(edge[0], edge[1])\n", - " \n", - " # Create layout\n", - " pos = nx.spring_layout(G, seed=42)\n", - " \n", - " # Draw the network\n", - " nx.draw(G, pos, ax=ax2, with_labels=True, \n", - " labels={i: nodes[i] for i in range(len(nodes))},\n", - " node_color='lightblue', node_size=1000, \n", - " font_size=10, font_weight='bold',\n", - " edge_color='gray', width=2)\n", - " \n", - " ax2.set_title('Pose Estimation Skeleton Structure')\n", - " ax2.axis('off')\n", - " \n", - " plt.tight_layout()\n", - "\n", - " return fig, (ax1, ax2)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "41f348fe", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(
,\n", - " (,\n", - " ))" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: 2d5a538e-a6a5-4ddb-a1ef-c503fb589909
session_start_time2024-09-04 07:20:06-07:00
timestamps_reference_time2024-09-04 07:20:06-07:00
file_create_date
02026-02-09 17:30:33.102717-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
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[]
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timestamps_unit: seconds
interval: 1
external_file
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starting_frame
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[0]
format: external
device (Device)
description: Video camera used for recording.
calcium_signal_NAc (FiberPhotometryResponseSeries)
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from NAc.
conversion: 1.0
offset: 0.0
unit: a.u.
data
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starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: The region of the FiberPhotometryTable corresponding to the calcium signal of NAc.
table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: 714dce69-c523-4508-a788-1f97f872f796
session_start_time2024-09-04 07:20:06-07:00
timestamps_reference_time2024-09-04 07:20:06-07:00
file_create_date
02026-02-10 12:00:10.421721-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera 1.
conversion: 1.0
offset: 0.0
unit: Frames
data
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[]
timestamps
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timestamps_unit: seconds
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external_file
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format: external
device (Device)
description: The B0205 is a new member of Arducam's USB camera family. Based on 1/2.7” OV2710, it's a 2MP, UVC-compliant, wide-angle USB 2.0 camera with a motorized IR-Cut filter and infrared LEDs. The motorized (switchable) IR-CUT filter and infrared LEDs can be triggered by the photoresistor according to the light environment to be ON/OFF to block or pass the infrared light. It can be widely used in wildlife photography, home security systems, baby cameras, etc.
manufacturer: ArduCam
model_name: 1080P Day & Night Vision USB Camera for Computer, 2MP Automatic IR-Cut Switching All-Day Image USB2.0 Webcam Board with IR LEDs for Windows, Linux, Android and Mac OS
calcium_signal_NAc (FiberPhotometryResponseSeries)
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resolution: -1.0
comments: no comments
description: The fluorescence from the calcium signal from NAc.
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offset: 0.0
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starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: The region of the FiberPhotometryTable corresponding to the calcium signal of NAc.
table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", " \n", " \n", " \n", @@ -112,20 +112,20 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Nucleus Accumbens (NAc)465.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Nucleus Accumbens (NAc)405.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
isosbestic_control_NAc (FiberPhotometryResponseSeries)
starting_time: 0.0
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: The fluorescence from the isosbestic control from NAc.
conversion: 1.0
offset: 0.0
unit: a.u.
data
HDF5 dataset
Data typefloat32
Shape(26239616,)
Array size100.10 MiB
Chunk shape(2500000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104958464
Compressed size (bytes)74888587
Compression ratio1.4015281661009307
starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: The region of the FiberPhotometryTable corresponding to the isosbestic control of NAc.
table (FiberPhotometryTable)
description: Information about each fiber photometry recording site, including location, excitation wavelength, indicator, optical fiber, excitation source, and photodetector.
table\n", @@ -157,20 +157,20 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
Nucleus Accumbens (NAc)465.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Nucleus Accumbens (NAc)405.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)24
Compressed size (bytes)48
Compression ratio0.5

['fiber photometry' 'optogenetics' 'sleep']
processing
ecephys (ProcessingModule)
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
ElectricalSeriesEEG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(26239488, 2)
Array size100.10 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)104957952
Compressed size (bytes)71685898
Compression ratio1.4641366702276646
starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", @@ -194,28 +194,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -241,28 +241,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -288,33 +288,33 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x13338544512\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x13327364368\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6036277632\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6015512848\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x13327367248\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x13327364688\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6015515728\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x6015513168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device (Device)
description: Video camera used for recording.
excitation_source (ExcitationSource)
description: Excitation source used for fiber photometry.
model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_NAc (OpticalFiber)
description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: bregma
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiber_mVTA (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the VTA.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
photodetector (Photodetector)
description: Photodetector used for fiber photometry.
model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
device_models
excitation_source_model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_model_fiber_photometry (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
photodetector_model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
table\n", + "
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
Camera1 (Device)
description: The B0205 is a new member of Arducam's USB camera family. Based on 1/2.7” OV2710, it's a 2MP, UVC-compliant, wide-angle USB 2.0 camera with a motorized IR-Cut filter and infrared LEDs. The motorized (switchable) IR-CUT filter and infrared LEDs can be triggered by the photoresistor according to the light environment to be ON/OFF to block or pass the infrared light. It can be widely used in wildlife photography, home security systems, baby cameras, etc.
manufacturer: ArduCam
model_name: 1080P Day & Night Vision USB Camera for Computer, 2MP Automatic IR-Cut Switching All-Day Image USB2.0 Webcam Board with IR LEDs for Windows, Linux, Android and Mac OS
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
excitation_source (ExcitationSource)
description: Excitation source used for fiber photometry.
model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_NAc (OpticalFiber)
description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: nan
insertion_position_ml_in_mm: nan
insertion_position_dv_in_mm: nan
depth_in_mm: nan
position_reference: bregma
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optical_fiber_mVTA (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the VTA.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: nan
insertion_position_ml_in_mm: nan
insertion_position_dv_in_mm: nan
depth_in_mm: nan
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
photodetector (Photodetector)
description: Photodetector used for fiber photometry.
model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
device_models
excitation_source_model (ExcitationSourceModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
source_type: LED
excitation_mode: one-photon
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[385. 940.]
optical_fiber_model_fiber_photometry (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A
description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.
numerical_aperture: 0.37
core_diameter_in_um: 200.0
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
photodetector_model (PhotodetectorModel)
manufacturer: Tucker Davis Technologies
model_number: RZ10X
description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.
detector_type: photodiode
wavelength_range_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[ 320. 1100.]
gain: 10000000000.0
gain_unit: V/W
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
table\n", " \n", " \n", " \n", @@ -402,23 +402,23 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
Nucleus Accumbens (NAc)465.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
1Nucleus Accumbens (NAc)405.0525.0indicator_da_NAc abc.Indicator at 0x13328116304\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x13328115968\\nFields:\\n ap_in_mm: -1.0\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: -1.0\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: -1.0\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x13328114960\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x13338542496\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13338542160\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x13328121344\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x13328121008\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x13328120672\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x13338543168\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x13338542832\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\nindicator_da_NAc abc.Indicator at 0x6016412240\\nFields:\\n description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).\\n label: GRAB-DA2h\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_da_NAc abc.ViralVectorInjection at 0x6016411904\\nFields:\\n ap_in_mm: nan\\n description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).\\n dv_in_mm: nan\\n hemisphere: right\\n location: Nucleus Accumbens (NAc)\\n ml_in_mm: nan\\n reference: bregma at the cortical surface\\n viral_vector: virus_da_NAc abc.ViralVector at 0x6016410896\\nFields:\\n construct_name: pAAV-hsyn-GRAB_DA2h\\n description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 20000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptical_fiber_NAc abc.OpticalFiber at 0x6036275616\\nFields:\\n description: Optical fiber used for fiber photometry recordings in the Nucleus Accumbens (NAc).\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6036275280\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: bregma\\n\\n model: optical_fiber_model_fiber_photometry abc.OpticalFiberModel at 0x6016417280\\nFields:\\n core_diameter_in_um: 200.0\\n description: The Splitter Branching Fiber-optic Patch Cord evenly splits the light from a large core diameter connectorized optical fiber into 2 or more branches of smaller core diameter connectorized optical fibers. A 15 cm long large core optical fiber helps obtain uniform distribution of light before a launch into 2 or more optical fibers bundled inside the central tubing. A 2-branch Splitter Branching Fiber-optic Patch Cord typically outputs around 16 % of the input power.\\n manufacturer: Doric Lenses\\n model_number: SBP(2)_200/220/900-0.37_1m_FCM-2xFCM, Splitter Branching Patchcord type A\\n numerical_aperture: 0.37\\n\\nexcitation_source abc.ExcitationSource at 0x6016416944\\nFields:\\n description: Excitation source used for fiber photometry.\\n model: excitation_source_model abc.ExcitationSourceModel at 0x6016416608\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n excitation_mode: one-photon\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n source_type: LED\\n wavelength_range_in_nm: [385. 940.]\\n\\nphotodetector abc.Photodetector at 0x6036276288\\nFields:\\n description: Photodetector used for fiber photometry.\\n model: photodetector_model abc.PhotodetectorModel at 0x6036275952\\nFields:\\n description: Our next-generation RZ10x Fiber Photometry Processors feature new integrated LUX LEDs and Photosensors that plug directly into its front panel. The RZ10x can drive up to six LED light sources and collect fiber photometry data from up to four photosensors simultaneously. This allows for independent control of three-LED imaging from up to two sites or subjects.\\n detector_type: photodiode\\n gain: 10000000000.0\\n gain_unit: V/W\\n manufacturer: Tucker Davis Technologies\\n model_number: RZ10X\\n wavelength_range_in_nm: [ 320. 1100.]\\n\\n
fiber_photometry_indicators (FiberPhotometryIndicators)
indicator_da_NAc (Indicator)
label: GRAB-DA2h
description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_viruses (FiberPhotometryViruses)
virus_da_NAc (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_virus_injections (FiberPhotometryVirusInjections)
virus_injection_da_NAc (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -1.0
ml_in_mm: -1.0
dv_in_mm: -1.0
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
optogenetic_experiment_metadata (OptogeneticExperimentMetadata)
stimulation_software: TDT Synapse
optogenetic_sites_table (OptogeneticSitesTable)
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", + "
fiber_photometry_indicators (FiberPhotometryIndicators)
indicator_da_NAc (Indicator)
label: GRAB-DA2h
description: Indicator for detecting dopamine levels in the Nucleus Accumbens (NAc).
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: nan
ml_in_mm: nan
dv_in_mm: nan
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_viruses (FiberPhotometryViruses)
virus_da_NAc (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
fiber_photometry_virus_injections (FiberPhotometryVirusInjections)
virus_injection_da_NAc (ViralVectorInjection)
description: Viral injection of virus_da_NAc into the Nucleus Accumbens (NAc).
location: Nucleus Accumbens (NAc)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: nan
ml_in_mm: nan
dv_in_mm: nan
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-hsyn-GRAB_DA2h
description: Expresses the 2nd generation high-affinity DA sensor GRAB_DA2h in neurons.
manufacturer: Addgene
titer_in_vg_per_ml: 20000000000000.0
optogenetic_experiment_metadata (OptogeneticExperimentMetadata)
stimulation_software: TDT Synapse
optogenetic_sites_table (OptogeneticSitesTable)
description: Information about each optogenetic site, including the excitation source, optical fiber, and targeted effector.
table\n", " \n", " \n", " \n", @@ -436,15 +436,15 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
0optical_fiber_mVTA abc.OpticalFiber at 0x13327366288\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x13327365968\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x13327365648\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_mVTA abc.Effector at 0x13328119664\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_mVTA abc.ViralVectorInjection at 0x13327364048\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x13327363728\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x13327366928\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x13327366608\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiber_mVTA abc.OpticalFiber at 0x6015514768\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the VTA.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x6015514448\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x6015514128\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_mVTA abc.Effector at 0x6016415600\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_mVTA abc.ViralVectorInjection at 0x6015512528\\nFields:\\n ap_in_mm: -3.8\\n description: Viral injection into the Ventral Tegmental Area (VTA).\\n dv_in_mm: -4.5\\n hemisphere: right\\n location: Ventral Tegmental Area (VTA)\\n ml_in_mm: 0.3\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x6015512208\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.3\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x6015515408\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x6015515088\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses (OptogeneticViruses)
virus (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections (OptogeneticVirusInjections)
virus_injection_mVTA (ViralVectorInjection)
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors (OptogeneticEffectors)
chrimsonR_mVTA (Effector)
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the VTA.
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection into the Ventral Tegmental Area (VTA).
location: Ventral Tegmental Area (VTA)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: -3.8
ml_in_mm: 0.3
dv_in_mm: -4.5
volume_in_uL: 0.3
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
session_id: M301-240904-072001_use_Bing-opto-signal
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.9.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" ], "text/plain": [ - "root pynwb.file.NWBFile at 0x13338545856\n", + "root pynwb.file.NWBFile at 0x6036278976\n", "Fields:\n", " acquisition: {\n", " Video1 ,\n", @@ -459,9 +459,9 @@ " photodetector_model \n", " }\n", " devices: {\n", + " Camera1 ,\n", " DeviceEEG ,\n", " DeviceEMG ,\n", - " Video1 Camera Device ,\n", " excitation_source ,\n", " optical_fiber_NAc ,\n", " optical_fiber_mVTA ,\n", @@ -475,8 +475,8 @@ " electrodes: electrodes \n", " experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", - " file_create_date: [datetime.datetime(2026, 2, 9, 17, 30, 33, 102717, tzinfo=tzoffset(None, -28800))]\n", - " identifier: 2d5a538e-a6a5-4ddb-a1ef-c503fb589909\n", + " file_create_date: [datetime.datetime(2026, 2, 10, 12, 0, 10, 421721, tzinfo=tzoffset(None, -28800))]\n", + " identifier: 714dce69-c523-4508-a788-1f97f872f796\n", " institution: University of California Berkeley\n", " intervals: {\n", " optogenetic_pulses \n", @@ -495,7 +495,7 @@ " session_start_time: 2024-09-04 07:20:06-07:00\n", " source_script: Created using NeuroConv v0.9.2\n", " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x13338544176\n", + " subject: subject pynwb.file.Subject at 0x6036277296\n", "Fields:\n", " age__reference: birth\n", " date_of_birth: 2024-05-26 00:00:00-07:00\n", @@ -769,7 +769,7 @@ " });\n", " });\n", " \n", - "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: c29d805f-5890-4b2d-8372-a19631d6c9ca
session_start_time2024-08-19 07:10:06-07:00
timestamps_reference_time2024-08-19 07:10:06-07:00
file_create_date
02026-02-09 17:31:38.395888-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
Data typeuint8
Shape(0, 0, 0)
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Chunk shapeNone
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Uncompressed size (bytes)0
Compressed size (bytes)0
Compression ratioundefined

[]
timestamps
HDF5 dataset
Data typefloat64
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Chunk shape(148537,)
Compressiongzip
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Compression ratio1.619392987921629
timestamps_unit: seconds
interval: 1
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)8
Compressed size (bytes)16
Compression ratio0.5

['sub-M008_ses-BBB8-240819-071001-opto-behavioral_ecephys+image/987cbac8-26f9-43be-8ef2-4a97ab2f80fd_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device (Device)
description: Video camera used for recording.
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)24
Compressed size (bytes)48
Compression ratio0.5

['fiber photometry' 'optogenetics' 'sleep']
processing
ecephys (ProcessingModule)
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
ElectricalSeriesEEG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(15253248, 2)
Array size58.19 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)61012992
Compressed size (bytes)33898860
Compression ratio1.7998538003932876
starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", + "

root (NWBFile)

session_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
identifier: aadfee2d-a69a-47d8-9414-094f25a0911e
session_start_time2024-08-19 07:10:06-07:00
timestamps_reference_time2024-08-19 07:10:06-07:00
file_create_date
02026-02-10 12:01:17.752392-08:00
experimenter('Huang, Xiaolin', 'Dan, Yang')
acquisition
Video1 (ImageSeries)
resolution: -1.0
comments: no comments
description: Video recorded by camera 1.
conversion: 1.0
offset: 0.0
unit: Frames
data
HDF5 dataset
Data typeuint8
Shape(0, 0, 0)
Array size0.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)0
Compressed size (bytes)0
Compression ratioundefined

[]
timestamps
HDF5 dataset
Data typefloat64
Shape(148537,)
Array size1.13 MiB
Chunk shape(148537,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)1188296
Compressed size (bytes)733791
Compression ratio1.619392987921629
timestamps_unit: seconds
interval: 1
external_file
HDF5 dataset
Data typeobject
Shape(1,)
Array size8.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)8
Compressed size (bytes)16
Compression ratio0.5

['sub-M008_ses-BBB8-240819-071001-opto-behavioral_ecephys+image/806b1e04-06bc-48bd-9cff-6894a809a819_external_file_0.avi']
starting_frame
NumPy array
Data typeint64
Shape(1,)
Array size8.00 bytes

[0]
format: external
device (Device)
description: The B0205 is a new member of Arducam's USB camera family. Based on 1/2.7” OV2710, it's a 2MP, UVC-compliant, wide-angle USB 2.0 camera with a motorized IR-Cut filter and infrared LEDs. The motorized (switchable) IR-CUT filter and infrared LEDs can be triggered by the photoresistor according to the light environment to be ON/OFF to block or pass the infrared light. It can be widely used in wildlife photography, home security systems, baby cameras, etc.
manufacturer: ArduCam
model_name: 1080P Day & Night Vision USB Camera for Computer, 2MP Automatic IR-Cut Switching All-Day Image USB2.0 Webcam Board with IR LEDs for Windows, Linux, Android and Mac OS
keywords
HDF5 dataset
Data typeobject
Shape(3,)
Array size24.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)24
Compressed size (bytes)48
Compression ratio0.5

['fiber photometry' 'optogenetics' 'sleep']
processing
ecephys (ProcessingModule)
description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP.
ElectricalSeriesEEG (ElectricalSeries)
starting_time: 9.5367431640625e-07
rate: 1017.2526245117188
resolution: -1.0
comments: no comments
description: EEG voltage data recorded by a TDT acquisition system.
conversion: 1e-06
offset: 0.0
unit: volts
data
HDF5 dataset
Data typeint16
Shape(15253248, 2)
Array size58.19 MiB
Chunk shape(2500000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)61012992
Compressed size (bytes)33898860
Compression ratio1.7998538003932876
starting_time_unit: seconds
electrodes (DynamicTableRegion)
description: electrode_table_region
table (ElectrodesTable)
description: metadata about extracellular electrodes
table\n", " \n", " \n", " \n", @@ -790,28 +790,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -837,28 +837,28 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -884,33 +884,33 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
02.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG1
12.5mm lateral to the midline, 3mm posterior to bregma.ElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x14064021776\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x14063932544\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEG pynwb.ecephys.ElectrodeGroup at 0x6108360976\\nFields:\\n description: ElectrodeGroup for EEG channels.\\n device: DeviceEEG pynwb.device.Device at 0x6108271744\\nFields:\\n description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.\\n manufacturer: Dan Lab\\n\\n location: 2.5mm lateral to the midline, 3mm posterior to bregma.\\nElectrodeGroupEEGEEG2
2Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG1
3Subcutaneous neckElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x14063932848\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14758401168\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMG pynwb.ecephys.ElectrodeGroup at 0x6108272048\\nFields:\\n description: ElectrodeGroup for EMG channels.\\n device: DeviceEMG pynwb.device.Device at 0x14596904080\\nFields:\\n description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.\\n manufacturer: Dan Lab\\n\\n location: Subcutaneous neck\\nElectrodeGroupEMGEMG2
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
Video1 Camera Device (Device)
description: Video camera used for recording.
optical_fiber_BF (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the BF.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: -1.0
insertion_position_ml_in_mm: -1.0
insertion_position_dv_in_mm: -1.0
depth_in_mm: -1.0
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
device_models
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
table\n", + "
electrode_groups
ElectrodeGroupEEG (ElectrodeGroup)
description: ElectrodeGroup for EEG channels.
location: 2.5mm lateral to the midline, 3mm posterior to bregma.
device (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
ElectrodeGroupEMG (ElectrodeGroup)
description: ElectrodeGroup for EMG channels.
location: Subcutaneous neck
device (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
devices
Camera1 (Device)
description: The B0205 is a new member of Arducam's USB camera family. Based on 1/2.7” OV2710, it's a 2MP, UVC-compliant, wide-angle USB 2.0 camera with a motorized IR-Cut filter and infrared LEDs. The motorized (switchable) IR-CUT filter and infrared LEDs can be triggered by the photoresistor according to the light environment to be ON/OFF to block or pass the infrared light. It can be widely used in wildlife photography, home security systems, baby cameras, etc.
manufacturer: ArduCam
model_name: 1080P Day & Night Vision USB Camera for Computer, 2MP Automatic IR-Cut Switching All-Day Image USB2.0 Webcam Board with IR LEDs for Windows, Linux, Android and Mac OS
DeviceEEG (Device)
description: EEG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel wrapped around a metal screw inserted into the brain 2.5mm lateral to the midline, 3mm posterior to bregma.
manufacturer: Dan Lab
DeviceEMG (Device)
description: EMG electrodes consist of 2 wires with 0.002 inch diameter made of stainless steel inserted subcutaneously in the neck.
manufacturer: Dan Lab
optical_fiber_BF (OpticalFiber)
description: Optical fiber used for optogenetic stimulation in the BF.
model (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
fiber_insertion (FiberInsertion)
insertion_position_ap_in_mm: nan
insertion_position_ml_in_mm: nan
insertion_position_dv_in_mm: nan
depth_in_mm: nan
position_reference: Bregma at the cortical surface
hemisphere: right
insertion_angle_yaw_in_deg: 0.0
insertion_angle_pitch_in_deg: 0.0
insertion_angle_roll_in_deg: 0.0
optogenetic_excitation_source (ExcitationSource)
description: An LED device used for optogenetic stimulation.
model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
power_in_W: 0.02
device_models
optical_fiber_model_optogenetics (OpticalFiberModel)
manufacturer: Doric Lenses
model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF
description: Optical fiber used for optogenetic stimulation.
numerical_aperture: 0.39
core_diameter_in_um: 200.0
ferrule_name: FC Connector with Zirconia Ferrule
ferrule_model: FC
ferrule_diameter_in_mm: 2.5
optogenetic_excitation_source_model (ExcitationSourceModel)
manufacturer: RWD Life Sciences
model_number: MRL-III-635L-1-1
description: An LED device used for optogenetic stimulation.
source_type: LED
excitation_mode: one-photon
intervals
optogenetic_pulses (OptogeneticPulsesTable)
description: Metadata about optogenetic stimulation parameters per pulse
table\n", " \n", " \n", " \n", @@ -987,15 +987,15 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
0optical_fiber_BF abc.OpticalFiber at 0x14758593600\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x14758593264\\nFields:\\n depth_in_mm: -1.0\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: -1.0\\n insertion_position_dv_in_mm: -1.0\\n insertion_position_ml_in_mm: -1.0\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x14758592928\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_BF abc.Effector at 0x14752300208\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_BF abc.ViralVectorInjection at 0x14752299536\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x14752296848\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x14758594272\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x14758593936\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\noptical_fiber_BF abc.OpticalFiber at 0x14597129280\\nFields:\\n description: Optical fiber used for optogenetic stimulation in the BF.\\n fiber_insertion: fiber_insertion abc.FiberInsertion at 0x14597128944\\nFields:\\n depth_in_mm: nan\\n hemisphere: right\\n insertion_angle_pitch_in_deg: 0.0\\n insertion_angle_roll_in_deg: 0.0\\n insertion_angle_yaw_in_deg: 0.0\\n insertion_position_ap_in_mm: nan\\n insertion_position_dv_in_mm: nan\\n insertion_position_ml_in_mm: nan\\n position_reference: Bregma at the cortical surface\\n\\n model: optical_fiber_model_optogenetics abc.OpticalFiberModel at 0x14597128608\\nFields:\\n core_diameter_in_um: 200.0\\n description: Optical fiber used for optogenetic stimulation.\\n ferrule_diameter_in_mm: 2.5\\n ferrule_model: FC\\n ferrule_name: FC Connector with Zirconia Ferrule\\n manufacturer: Doric Lenses\\n model_number: MFP_200/220/900-0.37_2m_FC-FC_LAF\\n numerical_aperture: 0.39\\n\\nchrimsonR_BF abc.Effector at 0x14590753968\\nFields:\\n description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.\\n label: ChrimsonR\\n manufacturer: Addgene\\n viral_vector_injection: virus_injection_BF abc.ViralVectorInjection at 0x14590753296\\nFields:\\n ap_in_mm: 0.1\\n description: Viral injection into the Basal Forebrain (BF).\\n dv_in_mm: -5.3\\n hemisphere: right\\n location: Basal Forebrain (BF)\\n ml_in_mm: 1.5\\n reference: bregma at the cortical surface\\n viral_vector: virus abc.ViralVector at 0x14590750608\\nFields:\\n construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)\\n description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.\\n manufacturer: Addgene\\n titer_in_vg_per_ml: 5000000000000.0\\n\\n volume_in_uL: 0.7\\n\\noptogenetic_excitation_source abc.ExcitationSource at 0x14597129952\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n model: optogenetic_excitation_source_model abc.ExcitationSourceModel at 0x14597129616\\nFields:\\n description: An LED device used for optogenetic stimulation.\\n excitation_mode: one-photon\\n manufacturer: RWD Life Sciences\\n model_number: MRL-III-635L-1-1\\n source_type: LED\\n\\n power_in_W: 0.02\\n
optogenetic_viruses (OptogeneticViruses)
virus (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_virus_injections (OptogeneticVirusInjections)
virus_injection_BF (ViralVectorInjection)
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
optogenetic_effectors (OptogeneticEffectors)
chrimsonR_BF (Effector)
label: ChrimsonR
description: ChrimsonR opsin used for optogenetic stimulation injected into the BF.
manufacturer: Addgene
viral_vector_injection (ViralVectorInjection)
description: Viral injection into the Basal Forebrain (BF).
location: Basal Forebrain (BF)
hemisphere: right
reference: bregma at the cortical surface
ap_in_mm: 0.1
ml_in_mm: 1.5
dv_in_mm: -5.3
volume_in_uL: 0.7
viral_vector (ViralVector)
construct_name: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5)
description: pAAV-Syn-FLEX-rc[ChrimsonR-tdTomato] (AAV5) viral vector was used for optogenetic experiments.
manufacturer: Addgene
titer_in_vg_per_ml: 5000000000000.0
experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.
session_id: BBB8-240819-071001-opto-behavioral
lab: Dan Lab
institution: University of California Berkeley
source_script: Created using NeuroConv v0.9.2
source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py
" ], "text/plain": [ - "root pynwb.file.NWBFile at 0x14064022736\n", + "root pynwb.file.NWBFile at 0x6108361936\n", "Fields:\n", " acquisition: {\n", " Video1 \n", @@ -1005,9 +1005,9 @@ " optogenetic_excitation_source_model \n", " }\n", " devices: {\n", + " Camera1 ,\n", " DeviceEEG ,\n", " DeviceEMG ,\n", - " Video1 Camera Device ,\n", " optical_fiber_BF ,\n", " optogenetic_excitation_source \n", " }\n", @@ -1018,8 +1018,8 @@ " electrodes: electrodes \n", " experiment_description: Sleep-Wake experiments were conducted with mice while video, electrophysiology, and fiber photometry data were collected and optogenetic stimulation was delivered.\n", " experimenter: ['Huang, Xiaolin' 'Dan, Yang']\n", - " file_create_date: [datetime.datetime(2026, 2, 9, 17, 31, 38, 395888, tzinfo=tzoffset(None, -28800))]\n", - " identifier: c29d805f-5890-4b2d-8372-a19631d6c9ca\n", + " file_create_date: [datetime.datetime(2026, 2, 10, 12, 1, 17, 752392, tzinfo=tzoffset(None, -28800))]\n", + " identifier: aadfee2d-a69a-47d8-9414-094f25a0911e\n", " institution: University of California Berkeley\n", " intervals: {\n", " optogenetic_pulses \n", @@ -1037,7 +1037,7 @@ " session_start_time: 2024-08-19 07:10:06-07:00\n", " source_script: Created using NeuroConv v0.9.2\n", " source_script_file_name: /opt/anaconda3/envs/dan_lab_to_nwb_env/lib/python3.13/site-packages/neuroconv/basedatainterface.py\n", - " subject: subject pynwb.file.Subject at 0x14064021456\n", + " subject: subject pynwb.file.Subject at 0x6108360656\n", "Fields:\n", " age__reference: birth\n", " date_of_birth: 2024-06-17 00:00:00-07:00\n",