State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Yinglu Liu
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
Fang Zhao
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
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Total article views: 4,656 (including HTML, PDF, and XML)
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3,441
1,094
121
4,656
124
158
167
HTML: 3,441
PDF: 1,094
XML: 121
Total: 4,656
Supplement: 124
BibTeX: 158
EndNote: 167
Views and downloads (calculated since 19 Apr 2023)
Cumulative views and downloads
(calculated since 19 Apr 2023)
Total article views: 3,141 (including HTML, PDF, and XML)
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EndNote
2,477
593
71
3,141
124
99
126
HTML: 2,477
PDF: 593
XML: 71
Total: 3,141
Supplement: 124
BibTeX: 99
EndNote: 126
Views and downloads (calculated since 22 May 2024)
Cumulative views and downloads
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Total article views: 1,515 (including HTML, PDF, and XML)
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BibTeX
EndNote
964
501
50
1,515
59
41
HTML: 964
PDF: 501
XML: 50
Total: 1,515
BibTeX: 59
EndNote: 41
Views and downloads (calculated since 19 Apr 2023)
Cumulative views and downloads
(calculated since 19 Apr 2023)
Viewed (geographical distribution)
Total article views: 4,656 (including HTML, PDF, and XML)
Thereof 4,549 with geography defined
and 107 with unknown origin.
Total article views: 3,141 (including HTML, PDF, and XML)
Thereof 3,067 with geography defined
and 74 with unknown origin.
Total article views: 1,515 (including HTML, PDF, and XML)
Thereof 1,482 with geography defined
and 33 with unknown origin.
To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the...