Small-Sample Soil Thickness Prediction, Mapping, and Environmental Interpretation in Arid and Semi-Arid Regions: A Case Study of the Angulinao Area

This record contains the processed modeling dataset and supplementary materials used for the study “Small-Sample Soil Thickness Prediction, Mapping, and Environmental Interpretation in Arid and Semi-Arid Regions: A Case Study of the Angulinao Area”. The dataset includes soil thickness observations used for model development, extracted environmental covariates, feature-selection results, model comparison outputs, and supplementary files supporting the reported tables and figures. Environmental covariates were derived from SRTM-DEM, Landsat-8 surface reflectance products, meteorological data from RESDC, and soil/parent-material background data. The files are provided to support reproducibility of the feature selection, model comparison, residual spatial autocorrelation diagnosis, and SHAP-based interpretation reported in the manuscript.