This repository contains the data, source code, Jupyter notebooks, and outputs used in our study on global iron flows from extraction to in-use stocks. It provides all materials needed to reproduce the analyses and visualizations presented in the manuscript.
- src/ – Source code for data processing, modeling, and analysis
- data/raw/ – Raw datasets used in the analysis
- data/output/ – Cleaned and formatted datasets ready for analysis
- data/netcdf/ – Final outputs in NetCDF format
- data/plot/ – Generated plots and figures
- data/atlas/ – Selected SESAME Human-Earth Atlas (Faisal et al., 2025) datasets used in this study
- Explore the Jupyter notebooks to follow the full analysis workflow.
- Run the scripts in
src/to reproduce data processing, modeling, and figures. - Check
data/netcdf/for the final outputs in NetCDF format.
- All files required to reproduce the figures and results in the manuscript are included.
- Python and Jupyter are required to run the notebooks.
For questions or inquiries about this project, please contact abdullah-al.faisal@mail.mcgill.ca or maxwell.kaye@mail.mcgill.ca.