Vegetation–climate interactions regulate global soil moisture under accelerating warming

This dataset contains the processed geospatial products used in the study “Vegetation–climate interactions regulate global soil moisture under accelerating warming.”It includes global maps (GeoTIFF) and tabular outputs (CSV) derived from trend analysis, correlation, regression, and Random Forest modelling for the period 2001–2023. The dataset provides: Mann–Kendall and Sen’s slope trend maps for soil moisture, temperature, precipitation, PET, and NDVI. Pearson correlation maps showing relationships between soil moisture and each climatic/vegetation driver. Linear regression slope and R² maps quantifying the strength and direction of SM–climate interactions. Aridity zone classification map used for stratified analysis. Random Forest model outputs, including feature importance and zone-specific accuracy metrics (CSV). All data are provided at the processed analysis resolution used in the manuscript (0.25° or matching input grids). These files support full transparency, reproducibility, and reuse of the results presented in the paper.