Articles | Volume 14, issue 4
Earth Syst. Sci. Data, 14, 1869–1899, 2022
https://doi.org/10.5194/essd-14-1869-2022
Earth Syst. Sci. Data, 14, 1869–1899, 2022
https://doi.org/10.5194/essd-14-1869-2022
Data description paper
21 Apr 2022
Data description paper | 21 Apr 2022

GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations

Jida Wang et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-58', Anonymous Referee #1, 01 Apr 2021
    • AC1: 'Reply on RC1', Jida Wang, 03 Apr 2021
    • AC3: 'Reply on RC1', Jida Wang, 13 Oct 2021
  • RC2: 'Comment on essd-2021-58', Anonymous Referee #2, 22 Apr 2021
    • AC2: 'Reply on RC2', Jida Wang, 22 Apr 2021
    • AC4: 'Reply on RC2', Jida Wang, 13 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jida Wang on behalf of the Authors (13 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (13 Oct 2021) by David Carlson
RR by Anonymous Referee #2 (03 Nov 2021)
ED: Publish subject to minor revisions (review by editor) (03 Nov 2021) by David Carlson
AR by Jida Wang on behalf of the Authors (20 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (21 Feb 2022) by David Carlson
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Short summary
Improved water infrastructure data on dams and reservoirs remain to be critical to hydrologic modeling, energy planning, and environmental conservation. We present a new global dataset, GeoDAR, that includes nearly 25 000 georeferenced dam points and their associated reservoir boundaries. A majority of these features can be linked to the register of the International Commission on Large Dams, extending the potential of registered attribute information for spatially explicit applications.