This dataset showcases active fault traces of seismogenic concern, or areas that are capable of producing earthquakes, as of 2018. The dataset includes fault lines and a small number of relevant attributes, such as fault geometry, kinematics, and slip rates, that are useful for seismic hazard modeling and other tectonic applications. This dataset is being constructed as part of the Global Earthquake Model (GEM) Foundation’s global Probabilistic Seismic Hazard Modeling efforts. Data can be applied to use in research and education, as well as for users’ general interest.

Dam locations and polygons of the associated reservoirs

  • Source: NASA SEDAC/CIESIN/McGill/UWash/TNC/CUNY/EEA/U of Frankfurt/GWSP/FAONashidai/Umeå University/Greifswald/WWF/UNH

This dataset has been archived, and we will no longer be updating or maintaining it. We recommend using this dataset as a replacement.


According to NOAA, a tropical cyclone is a weather event that produces rotating clouds, high winds, and thunderstorms. These cyclones are called hurricanes in the North Atlantic, central North Pacific, and eastern North Pacific. Elsewhere they are called typhoons or tropical typhoons. The disruptions from tropical cyclones have significant impacts on human life, property, and ecology. By compiling data in one place, this dataset can support scientific research efforts in understanding the distribution, frequency, and intensity of tropical cyclones, and assist emergency managers with disaster mitigation efforts.


Excerpts of this description page were taken from the source metadata. Resource Watch shows only a subset of the dataset. For access to the full dataset and additional information, click on the “Learn more” button.

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Formal name

Global Reservoir and Dam Database, Version 1 (Revision 01)


Data results are biased toward public available data, so gaps may exist.

Suggested citation

(1) Lehner, B., C. Reidy Liermann, C. Revenga, C. Vorosmarty, B. Fekete, P. Crouzet, P. Doll, M. Endejan, K. Frenken, J. Magome, C. Nilsson, J.C. Robertson, R. Rodel, N. Sindorf, and D. Wisser. 2011. Global Reservoir and Dam Database, Version 1 (GRanDv1): Dams, Revision 01. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Accessed through Resource Watch, (date).

(2) Lehner, B., C. Reidy Liermann, C. Revenga, C. Vörösmarty, B. Fekete, P. Crouzet, P. Döll, M. Endejan, K. Frenken, J. Magome, C. Nilsson, J.C. Robertson, R. Rodel, N. Sindorf, and D. Wisser. 2011. High-Resolution Mapping of the World's Reservoirs and Dams for Sustainable River-Flow Management. Frontiers in Ecology and the Environment 9 (9): 494-502. Accessed through Resource Watch, (date).


National Aeronautics and Space Administration Socioeconomic Data and Applications Center (NASA SEDAC)
Columbia University Earth Institute Center for International Earth Science Information Network (CIESIN)
McGill University (McGill)
University of Washington (UWash)
The Nature Conservancy (TNC)
City University of New York (CUNY)
European Environment Agency (EEA)
University of Frankfurt (U of Frankfurt)
Global Water System Project (GWSP)
Food and Agriculture Organization of the United Nations (FAO)
University of Yamanashi (Nashidai)
Umeå University
University of Greifswald (Greifswald)
World Wildlife Fund (WWF)
University of New Hampshire (UNH)

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