Dataset for Wind Erosion Drivers and SHAP-based Interpretation in Inner Mongolia, 2000–2022

This dataset supports the research article entitled “Quantitative spatial analysis of wind erosion drivers using explainable artificial intelligence: A case study from the Mongolian Plateau”. It includes two main components: 1. RWEQ: Simulated wind erosion intensity data generated using the Revised Wind Erosion Equation (RWEQ) for the period 2000–2022. 2. Folder: XGBoost_SHAP_data/XThis folder includes 21 raster layers representing the following environmental variables: Vegetation and climate: NDVI, precipitation (PRE), temperature (TEM), potential evapotranspiration (PET) Soil and surface characteristics: clay content (CI), sand content (SA), silt content (SI), organic matter (OM), calcium carbonate content (CACO3) Topography: elevation (DEM), slope, aspect Wind factors: wind speed (WS), gale days (WD), Land use data: land use type (LUCC), socio-economic indicators:population density (PD), livestock density (SUD), gross domestic product (GDP) Distance-based drivers: distance to mining areas (Dmine), distance to rural settlements (Drural), distance to urban areas (Durban) Folder: XGBoost_SHAP_data/Y Soil erosion intensity:SL_mean.tif