Supplementary data files for "Data-driven mineral prospectivity mapping integrating machine learning for the quartz-vein type tungsten deposit exploration in the Jiaoxi area, western Tibet, China" submitted to Natural Resources Research

Detailed descriptions are as follows: Supplementary data 1: Table S1, Analytical methods for each element, and detection limit. Supplementary data 2: Data screening process, box-whisker plot of geochemical data, and the average silhouette width plot for K-means clustering analysis. Supplementary data 3: The raw stream sediment geochemical maps for MPM in this study. Supplementary data 4: Table S4 Field description records from the geological survey report by GGTBGET for W mineralization locations as a training dataset for MPM. Supplementary data 5: The SHAP value plot, feature importance, and confusion matrix for evaluating the performance of each classification model. The ROC plot for PLS-DA, RF, SVM, and XGBoost.