Data from: Learning to predict spatio-temporal movement dynamics from static sensor networks

This dataset contains the following: - data: 1) raw: simulation outputs (i.e. individual trajectories) 2) preprocessed: hourly European weather radar data (here: radar) and aggregated simulation outputs (here: abm), combined with ERA5 data and Voronoi tessellation details 3) shapes: geographical shapes used for plotting 4) plots: all automatically generated plots - results: trained models and corresponding results - figures: final figures presented in our paper "Learning to predict spatio-temporal movement dynamics from static sensor networks" to summarize the result. The corresponding code used to train and evaluate models is archived here: 10.5281/zenodo.6364805.