This repository accompanies the paper "Navigating the Energy Trilemma in Green Steel: The Australian Case" (currently submitted for peer review). It provides the full model code, the adjusted and extended hybrid Multi-Regional Supply-Use database, and the complete set of results, so that every quantitative finding of the paper can be reproduced starting from the public EXIOBASE hybrid Supply-Use database (https://doi.org/10.5281/zenodo.7244918). The study uses a hybrid (mixed physical/monetary) Multi-Regional Supply-Use Table model, built on EXIOBASE and extended with explicit primary and secondary steelmaking technologies and Australian electricity-generation technologies, to compute the carbon footprint, price and import-dependence of Australian steel across decarbonisation scenarios (2024–2050). Contents code.zip — Full model code, the adjusted & extended MRSUT database (database/baseline_aggr/), scenario inputs, auxiliary data, the figure-generation scripts, and a README documenting the end-to-end workflow (parse → aggregate → extend → scenario shocks → merge → plot). This is what a reader needs to regenerate all results directly from the public EXIOBASE data. GHG_Footprints_act.parquet — Steel GHG footprints (tonCO₂eq/ton steel) decomposed by activity of origin, for every scenario, year and sensitivity. GHG_Footprints_com.parquet — Steel GHG footprints by commodity/destination region. GHG_Footprints_com_EE.csv — Associated electricity-generation GHG footprint series (gCO₂eq/kWh). prices.parquet — Steel prices (EUR/ton steel) by region, scenario, year and sensitivity. Import_dependence.parquet — Import-dependence indicator (d_M), TPES and fuel-import results. Figures.zip — Figures of the paper. License: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), consistent with the upstream EXIOBASE v3.3.18 license.