A global catalogue of spatiotemporal drought events derived from multivariate hydrological data

This dataset contains a global catalogue of spatiotemporally clustered drought events spanning 1980–2024, identified using a three-dimensional implementation of the DBSCAN algorithm. The catalogue is based on daily data using four hydroclimatic variables:precipitation, potential evapotranspiration, soil moisture, and surface runoff. In addition to the data products, the repository includes a custom R script (3DDBSCAN_v1.0.R) developed specifically for this study to enable efficient large-scale spatiotemporal clustering and event tracking. This script builds upon the original three-dimensional DBSCAN framework proposed by Cammalleri & Toreti (Cammalleri, C. & Toreti, A. (2023). A Generalized Density-Based Algorithm for the Spatiotemporal Tracking of Drought Events. Journal of Hydrometeorology, 24(3), 537–548.), with adaptations and extensions tailored to the requirements of global, multivariate drought analysis. This dataset corresponds to a manuscript submitted to Scientific Data (Collection: Droughts): Stovicek et al. (2025): A global catalogue of spatiotemporal drought events derived from multivariate hydrological data.