Data and code supporting “Clean-electricity constraints on AI computing and the cost of orbital alternatives”

<p dir="ltr">This item contains the processed data and analysis code supporting the manuscript “Clean-electricity constraints on AI computing and the cost of orbital alternatives”.</p><p><br></p><p dir="ltr">The data archive provides the processed raster layers, national reporting tables, sensitivity results and parameter library used in the study. The spatial layers use the WGS84 coordinate reference system at 0.25-degree resolution and cover modelled land from 60° S to 75° N. They describe first-binding constraints and siting suitability across electricity supply, clean-electricity requirements, water, land, heat rejection and infrastructure access.</p><p><br></p><p dir="ltr">The code archive contains the deterministic accounting model, ingestion utilities, scenario definitions, analysis scripts, figure-generation scripts and validation tests.

The released test suite returns 128 passed and 11 skipped tests in a clean environment. The skipped tests require large third-party raster inputs that cannot be redistributed; their sources and versions are documented in the manuscript.</p><p><br></p><p dir="ltr">The dataset README and data dictionary describe the files, variables, spatial conventions and known limitations. National reporting applies the boundary-aggregation convention declared in the code before country-level statistics are calculated.