机构

• 西北高原生物研究所 [30]
• 广州能源研究所 [10]
• 地理科学与资源研究所 [6]
• 武汉植物园 [5]
• 云南天文台 [5]
• 合肥物质科学研究院 [5]
• 更多

采集方式

• OAI收割 [98]
• iSwitch采集 [6]

内容类型

• 期刊论文 [104]

发表日期

• 2023 [8]
• 2022 [8]
• 2021 [7]
• 2020 [1]
• 2019 [10]
• 2018 [4]
• 更多

学科主题

• 天文学 [5]
• 天文学::天体测量学 [3]
• Biochemist... [2]
• Environmen... [2]
• 物理学 [2]
• Ecology [1]
• 更多

筛选

浏览/检索结果: 共104条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing 期刊论文  OAI收割 SCIENTIFIC DATA, 2023, 卷号: 10, 期号: 1, 页码: 18 作者:  Xie, Mingjuan;  Ma, Xiaofei;  Wang, Yuangang;  Li, Chaofan;  Shi, Haiyang   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/10/23 Photometric and Spectroscopic Observations of GRB 190106A: Emission from Reverse and Forward Shocks with Late-time Energy Injection 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL, 2023, 卷号: 948, 期号: 1, 页码: 14 作者:  Zhu, Zi-Pei;  Xu, Dong;  Fynbo, Johan P. U.;  Fu, Shao-Yu;  Zhang, Jun-Bo   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/11/14 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：126/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing 期刊论文  OAI收割 SCIENTIFIC DATA, 2023, 卷号: 10, 期号: 1 作者:  Xie, Mingjuan;  Ma, Xiaofei;  Wang, Yuangang;  Li, Chaofan;  Shi, Haiyang   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/12/01 Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/12/01 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：42/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文  OAI收割 GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15 作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang   |  收藏  |  浏览/下载：67/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension   Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文  OAI收割 GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15 作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang   |  收藏  |  浏览/下载：55/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension