mohitanand/forest_mortality

200,000 Years of Weather and Quasi-Stationary Tree Dynamics Simulation for Beech, Pine, and Spruce Forests A large synthetic benchmark coupling a stochastic weather generator (AWE-GEN) with a process-based forest gap model (FORMIND) to study how weather time series drive forest biomass mortality. It is designed as a test bed for machine-learning models that map weather (and forest structure) time series to an ecological impact — a genuinely multi-modal, time-series → regression… See the full description on the dataset page: https://huggingface.co/datasets/mohitanand/forest_mortality.