RR SMR ADS source-input bundle for reproducible GB grid modelling workflow, 2030–2045

This record contains the final external source-input bundle used to reproduce the University of Manchester Applied Data Science project workflow for modelling the potential contribution of three Rolls-Royce SMRs at Wylfa to the Great Britain electricity system from 2030 to 2045. The associated repository is a reproducible workflow, not a data dump. The repository is reproducible from committed code plus this external source-input bundle; it is not reproducible from git clone alone because large third-party source inputs are intentionally stored externally. The archive preserves the source-input directory layout required by the repository restore workflow: - objective1_raw/- ERA5/- README_SOURCE_BUNDLE.txt- SOURCES_AND_RIGHTS.txt The bundle contains public/source input files used by the workflow, including NESO historic demand, historic generation and FES tables; GOV.UK/DESNZ DUKES and REPD sources; GOV.UK bank holidays JSON; CEDA/Met Office HadUK-Grid; UKCP18 climate projection extracts; and ERA5/Copernicus Climate Data Store NetCDF files. The bundle excludes generated model/dashboard outputs and local/generated clutter. Generated Parquet outputs are intentionally not part of this record; they are recreated by running the repository workflow. Archive checksum: SHA-256:39666204bed374e6bda724f13a02daac920c86347fd8c7d70d358a9837b8219c Restore example: python scripts/prepare_source_inputs.py \ --archive /path/to/rrsmr-source-inputs-final-delivery.zip \ --expected-sha256 39666204bed374e6bda724f13a02daac920c86347fd8c7d70d358a9837b8219c \ --dest external_data/source_inputs The complete model workflow was rerun from the restored final bundle, followed by the reproducibility audit and test suite. The final local validation reported: - audit_reproducible_outputs.py: pass- pytest: 136 passed Rights and licensing note: This record is a reproducibility bundle of third-party public/source inputs plus project-level README, rights notes, and handover metadata. The underlying source datasets remain under their original licences, attribution requirements, citations, disclaimers, and provider terms. No claim is made that the uploader owns the third-party source datasets. See SOURCES_AND_RIGHTS.txt inside the archive for source-family notes. This bundle should not be interpreted as Rolls-Royce proprietary data. It is a public-source reproducibility bundle for the associated academic workflow.