Multi-Model Projections of Current and Future Retrogressive Thaw Slump Susceptibility on the Qinghai-Tibet Plateau

This dataset provides a comprehensive collection of retrogressive thaw slump (RTS) susceptibility maps for the Qinghai-Tibet Plateau. The data corresponds to the findings presented in the manuscript titled "Future thermokarst landslide susceptibility under climate warming on the Qinghai-Tibet Plateau: Insights from a geographic explainable machine learning framework". The dataset includes 16 individual susceptibility maps in GeoTIFF format. These maps were generated using four distinct machine learning models (Random Forest, LightGBM, XGBoost, and MLP) for four different time periods and climate scenarios: Current (baseline period 2002–2021) SSP1-2.6 (mid-century projection, 2041–2060) SSP3-7.0 (mid-century projection, 2041–2060) SSP5-8.5 (mid-century projection, 2041–2060)