Gridded dataset for total water storage estimation in the Seine through transfer learning

Deep Learning model inputs: static and dynamic spatiotemporal data layers related to groundwater dynamics, from both local and global sources. Deep Learning model output: monthly total water storage changes (dTWS) from the TSMP model over the Seine River Basin (2010–2020, monthly, 11 km, EPSG:4326). Produced within the STARS4Water project (EC grant 101059372) by transfer learning of a spatio-temporal transformer model from the Duero basin.