<b>Data Accessibility and Exploration</b>

This datasets supports the research article <i>“Revealing the Spatiotemporal Evolution of Landscape Ecological Resilience in China’s Yellow River Basin Using Remote Sensing and Explainable AI.”</i>Geospatial modeling and analysis were performed through an integrated workflow combining cloud computing, Python-based analytics, and desktop GIS tools to ensure computational efficiency, reproducibility, and transparency. The workflow leverages the Google Earth Engine (GEE)–Colab platform, the LightGBM–SHAP framework for explainable machine learning, the InVEST Python API for ecosystem service modeling, and MSPA–Conefor tools for evaluating landscape structural and functional connectivity.A web-based data visualization dashboard was developed using Google Earth Engine Apps to enable interactive exploration of the spatial–temporal. The main workflow and processing scripts are documented in the accompanying .doc file, providing guidance for users to reproduce or extend the analysis.