Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing
University, Nanjing, 210023, China
Weimin Ju
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Mousong Wu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Hengmao Wang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Mengwei Jia
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Lingyu Zhang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Jing M. Chen
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, 210023, China
Department of Geography and Planning, University of Toronto, Toronto, Ontario
M5S3G3, Canada
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5,387
1,472
156
7,015
422
138
222
HTML: 5,387
PDF: 1,472
XML: 156
Total: 7,015
Supplement: 422
BibTeX: 138
EndNote: 222
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
(calculated since 04 Feb 2022)
Total article views: 5,601 (including HTML, PDF, and XML)
HTML
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Total
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BibTeX
EndNote
4,410
1,062
129
5,601
241
125
203
HTML: 4,410
PDF: 1,062
XML: 129
Total: 5,601
Supplement: 241
BibTeX: 125
EndNote: 203
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads
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Total article views: 1,414 (including HTML, PDF, and XML)
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977
410
27
1,414
181
13
19
HTML: 977
PDF: 410
XML: 27
Total: 1,414
Supplement: 181
BibTeX: 13
EndNote: 19
Views and downloads (calculated since 04 Feb 2022)
Cumulative views and downloads
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Total article views: 7,015 (including HTML, PDF, and XML)
Thereof 6,773 with geography defined
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Total article views: 5,601 (including HTML, PDF, and XML)
Thereof 5,427 with geography defined
and 174 with unknown origin.
Total article views: 1,414 (including HTML, PDF, and XML)
Thereof 1,346 with geography defined
and 68 with unknown origin.
A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the GOSAT ACOS v9 XCO2 product. It shows strong carbon sinks over eastern N. America, the Amazon, the Congo Basin, Europe, boreal forests, southern China, and Southeast Asia. It has good quality and can reflect the impacts of extreme climates and large-scale climate anomalies on carbon fluxes well. We believe that this dataset can contribute to regional carbon budget assessment and carbon dynamics research.
A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the...