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Description

This repository includes the codes and notebooks to simulate a dynamic system determined by a user and estimate and analyze the contributions (weight) of each process involved in the dynamics based on a specified observational time.

Folders

  • examples: Folder containing examples of models in JSON format. These models can be used as inputs and to implement other models with a different number of variables, processes, and parameters.
  • first_time_Colab_test: Folder containing the outputs to be compared with the execution of the Colab notebook when testing it for the first time on a browser.
  • test: Folder containing files relevant to the (ongoing) testing process of the repository.

Files

  • LICENSE: This text file specifies the repository's licensing details.
  • README.md: This text file provides the repository's main description and content. It is the file you are currently reading.
  • dynamic_regimes.ipynb: This Jupyter notebook contains the code to execute the current dynamics version. It includes a link to execute it as a Colab notebook.
  • legacy_code_PerCapFiniT.py: This Python file contains code that could help repurpose some parts of the current method implemented in the Jupyter Notebook.

How to obtain results

In the current version, the methodology has been implemented in a Colab notebook, which includes a Quick-Start Guide.

Acknowledgements

The notebook is based on ongoing research on transient dynamics by the Luque lab and Rohwer lab with scientists Sergio Cobo-Lopez and Matthew Witt as first authors of the foundational research contribution. PI Antoni Luque led the development of the Colab notebook software.

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