GeoDAR: Georeferenced global dam and reservoir dataset forbridging attributes and geolocations

摘要: Abstract. Dams and reservoirs are among the most widespread human-made infrastructure on Earth. Despite their societal environmental significance, spatial inventories of dams reservoirs, even for large ones, insufficient. A dilemma existing georeferenced dam datasets is polarized focus either quantity coverage (e.g., GOODD) or detailed attributes limited regions GRanD national inventories). One comprehensive datasets, World Register (WRD) maintained by International Commission Large (ICOLD), documents nearly 60,000 with an extensive suite attributes. Unfortunately, WRD records not georeferenced, limiting benefits spatially explicit applications. To bridge gap between attribute accessibility explicitness, we introduce Georeferenced global Dam And Reservoir (GeoDAR) dataset, created utilizing online geocoding API multi-source inventories. We release GeoDAR in two successive versions (v1.0 v1.1) at https://doi.org/10.6084/m9.figshare.13670527 . v1.0 holds 21,051 points from WRD, whereas v1.1 consists a) 23,680 after a careful harmonization b) 20,214 reservoir polygons retrieved high-resolution water masks. Due to challenges, resolved 40 % which, however, comprise over 90 % total area, catchment storage capacity. does proprietary attributes, but upon individual user requests can assist associating features information that users have acquired ICOLD. With triple GRanD, significantly enhances details smaller more complements other Along its extended accessibility, expected benefit broad range applications hydrologic modelling, resource management, ecosystem health, energy planning.