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This dataset provides an expert-interpreted inventory of moving areas mapped from InSAR deformation signals in high-mountain environments. Each feature corresponds to a polygon delineating a zone where the deformation signal is spatially coherent over the considered observation period (i.e., a “moving area” suitable for geomorphological interpretation). The inventory was compiled to support regional-scale mapping, process-based interpretation, and—critically—the training and benchmarking of machine-learning algorithms for automated detection/classification of moving terrain from InSAR products.All mapped moving areas were geomorphologically interpreted (e.g., rock glaciers, deep-seated gravitational slope deformation, landslides, other moving surfaces where relevant). For each polygon, the dataset reports a velocity range / kinematic class derived from the InSAR signal and expressed following the Rock Glacier Inventories and Kinematics (RGIK) guidelines for handling kinematic information and moving areas on rock glaciers. Where classification is uncertain (e.g., low coherence, seasonal decorrelation, mixed signals), the dataset documents the uncertainty through conservative labeling and/or attribute flags (if included).InSAR-derived motion is sensitive to geometry (LOS projection), temporal decorrelation, and atmospheric artefacts, and may not capture rapid failures or motion orthogonal to the radar line-of-sight. Users should therefore treat the inventory as an interpreted product (not a complete census of all instabilities) and propagate uncertainties when using it for hazard assessment or model calibration.