The global in-stream water age ...
The in-stream water age datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http://hydrolog...
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ftdatacite:10.5281/zenodo.8227555 2024-01-28T10:03:47+01:00 The global in-stream water age ... Lichun Wang 2023 https://dx.doi.org/10.5281/zenodo.8227555 https://zenodo.org/doi/10.5281/zenodo.8227555 unknown Zenodo https://dx.doi.org/10.5281/zenodo.8227556 https://dx.doi.org/10.5281/zenodo.8313080 Restricted Access info:eu-repo/semantics/restrictedAccess Water age River Network ScholarlyArticle JournalArticle article-journal 2023 ftdatacite https://doi.org/10.5281/zenodo.822755510.5281/zenodo.822755610.5281/zenodo.8313080 2024-01-04T12:59:50Z The in-stream water age datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http://hydrology.princeton.edu/data/mpan/MERIT_Basins/'). The water age datasets cover 8 continents/sub-continents, where the number represents the level 1 Pfafstetter code from HydroSHEDS/HydroBASINS: 1: Africa, 2: Europe, 3: North Asia, 4: South Asia, 5: Oceania and South Asian Islands, 6: South America, 7: North America, 8: Arctic Region. The first colum is COMID inherited from GRADES, the second column ('Age_nat') is the water age in natural status, and the third column ('Age_dam') is the water age in dammed status, all water ages are in unit of days. Reference: Lin, P. et al., 2019. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. Water Resources Research 55(8), 6499-6516. https://doi.org/10.1029/2019wr025287. ... Article in Journal/Newspaper Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Water age River Network |
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Water age River Network Lichun Wang The global in-stream water age ... |
topic_facet |
Water age River Network |
description |
The in-stream water age datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http://hydrology.princeton.edu/data/mpan/MERIT_Basins/'). The water age datasets cover 8 continents/sub-continents, where the number represents the level 1 Pfafstetter code from HydroSHEDS/HydroBASINS: 1: Africa, 2: Europe, 3: North Asia, 4: South Asia, 5: Oceania and South Asian Islands, 6: South America, 7: North America, 8: Arctic Region. The first colum is COMID inherited from GRADES, the second column ('Age_nat') is the water age in natural status, and the third column ('Age_dam') is the water age in dammed status, all water ages are in unit of days. Reference: Lin, P. et al., 2019. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. Water Resources Research 55(8), 6499-6516. https://doi.org/10.1029/2019wr025287. ... |
format |
Article in Journal/Newspaper |
author |
Lichun Wang |
author_facet |
Lichun Wang |
author_sort |
Lichun Wang |
title |
The global in-stream water age ... |
title_short |
The global in-stream water age ... |
title_full |
The global in-stream water age ... |
title_fullStr |
The global in-stream water age ... |
title_full_unstemmed |
The global in-stream water age ... |
title_sort |
global in-stream water age ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8227555 https://zenodo.org/doi/10.5281/zenodo.8227555 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
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Arctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.8227556 https://dx.doi.org/10.5281/zenodo.8313080 |
op_rights |
Restricted Access info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5281/zenodo.822755510.5281/zenodo.822755610.5281/zenodo.8313080 |
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1789329254651002880 |