SuRT-Virtual Rwanda: reproducibility artifact for district-level environmental-layer integration and provenance labelling

Companion software and openly licensed district-level environmental layers for a Rwanda proof of concept. The artifact provides R and Python pipelines for rainfall, temperature, vegetation-greenness, and terrain flood-susceptibility layers aggregated to Rwanda's 30 districts, together with a fail-closed provenance and evidence-class labelling module. It is a descriptive, non-operational research artifact and contains no patient, surveillance, or other confidential operational data. If you use this reproducibility artifact, please cite the archived software release using the metadata below and cite the companion paper when available.