The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-km spatial and 5-minute temporal resolution (hourly for temperature, humidity, and pressure). The downscaling process was performed using a generative machine learning approach called sup3r: Super-Resolution for Renewable Energy Resource Data (linked below as "Sup3r GitHub Repo"). It improves the representation of terrain driven wind flows, extreme wind events, and preserves important spatiotemporal patterns for use in energy system planning and operations. Coverage: ------------- Ukraine, Moldova, and part of Romania: This data is accessed through the "ukraine" folder in the "Sup3rWind Data and Models in S3" resource below. Sup3r software v0.1.2, phygnn v0.0.28, and the models in "models/sup3rwind_models_202401", were used to generate this data. South America: This data is accessed through the "south_america" folder in the "Sup3rWind Data and Models in S3" resource below. Sup3r software v0.2.4, phygnn v0.0.33, and the models in "models/sup3rwind_models_202501", were used to generate this data.