Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information (Data Descriptor)

Data Descriptor: Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information . “We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information.”

Scientific Data: Caravan – A global community dataset for large-sample hydrology

Scientific Data: Caravan – A global community dataset for large-sample hydrology . “This paper introduces a dataset called Caravan (a series of CAMELS [Catchment Attributes and Meteorology for Large-sample Studies]) that standardizes and aggregates seven existing large-sample hydrology datasets. Caravan includes meteorological forcing data, streamflow data, and static catchment attributes (e.g., geophysical, sociological, climatological) for 6830 catchments. Most importantly, Caravan is both a dataset and open-source software that allows members of the hydrology community to extend the dataset to new locations by extracting forcing data and catchment attributes in the cloud.”

McGill Newsroom: World’s most detailed database maps characteristics of Earth’s rivers and catchments

McGill Newsroom: World’s most detailed database maps characteristics of Earth’s rivers and catchments. “Two researchers and friends from opposite ends of the Earth have created a world-first high spatial resolution atlas that maps the environmental characteristics of all the globe’s rivers and catchments. HydroATLAS was co-developed by Bernhard Lehner and his team from McGill University’s Department of Geography and Simon Linke from Griffith University’s Australian Rivers Institute.”