WSINDyStructuredPopulations

This repository contains the code used to generate the figures in the paper:

Learning Structured Population Models from Data with WSINDy
R. Lyons, V. Dukic, and D. M. Bortz
arXiv:2506.24101

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📂 Contents

• Main_artificialData.m – reproduces results for artificial examples L.1–L.4 from the paper.
• Main_RealData.m – processes and analyzes real population data from Jackson et al. 2020

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🔬 Artificial Data (L.1–L.4)

These examples use synthetic data for structured population models and can be run directly using the provided scripts.

⚠️ The datasets for the nonlinear examples (e.g., NL.1–NL.2) are too large to be hosted on GitHub.
If you are interested in running these examples, please contact the authors to request access.

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📊 Real Population Data

The script Main_RealData.m uses empirical demographic data from the following study:

Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal
J. Jackson, K. U. Mar, W. Htut, D. Z. Childs, V. Lummaa
Journal of Animal Ecology
DOI: 10.1111/1365-2656.13290

We include only the subset of the dataset necessary to reproduce our results, in accordance with the public domain license.
The full dataset is available via Dryad:
➡️ https://datadryad.org/dataset/doi:10.5061/dryad.m905qftwx

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📜 License and Data Use

All included example data are either synthetic or derived from public domain sources.
The Jackson et al. dataset is shared under its original public domain designation.

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License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

You are free to:

• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material

Under the following terms:

• Attribution — You must give appropriate credit
• NonCommercial — You may not use the material for commercial purposes

Full license: https://creativecommons.org/licenses/by-nc/4.0/