机构

• 昆明植物研究所 [19]
• 西北高原生物研究所 [10]
• 心理研究所 [8]
• 地理科学与资源研究所 [5]
• 国家天文台 [5]
• 新疆天文台 [5]
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采集方式

• OAI收割 [108]
• iSwitch采集 [1]

内容类型

• 期刊论文 [109]

发表日期

• 2025 [1]
• 2024 [2]
• 2023 [6]
• 2022 [10]
• 2021 [19]
• 2020 [5]
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学科主题

• Chemistry,... [3]
• Pharmacolo... [3]
• Biochemist... [2]
• Chemistry [2]
• Environmen... [2]
• Biochemist... [1]
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筛选

浏览/检索结果: 共109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 Terrestrial ecosystem response to Early Cretaceous global environmental change: A calibrated, high-resolution Aptian record from Northeast China 期刊论文  OAI收割 EARTH AND PLANETARY SCIENCE LETTERS, 2025, 卷号: 653, 页码: 13 作者:  Sun, Ming-Dao;  Lin, Qin;  Ramezani, Jahandar;  Liu, Jiang-Si;  Lu, Zheng-An   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/04/03 Early Cretaceous  Aptian  CA-ID-TIMS geochronology  Astrochronology  Carbon isotope stratigraphy   π-HuB: the proteomic navigator of the human body 期刊论文  OAI收割 NATURE, 2024, 卷号: 636, 期号: 8042, 页码: 322-331 作者:  He, Fuchu;  Aebersold, Ruedi;  Baker, Mark S.;  Bian, Xiuwu;  Bo, Xiaochen   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/04/01 N-terminus GTPase domain of the cytoskeleton protein FtsZ plays a critical role in its adaptation to high hydrostatic pressure 期刊论文  OAI收割 FRONTIERS IN MICROBIOLOGY, 2024, 卷号: 15, 页码: 13 作者:  Cui, Xue-Hua;  Wei, Yu-Chen;  Li, Xue-Gong;  Qi, Xiao-Qing;  Wu, Long-Fei   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/10/21 obligate piezophile  cell division  cytoskeleton  FtsZ  high hydrostatic pressure  GTPase domain   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：30/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   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：128/0  |  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：44/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Five new limonoids isolated from Walsura robusta. 期刊论文  OAI收割 Natural products and bioprospecting, 2023, 卷号: 13, 期号: 1, 页码: 7-7 作者:  Hou, Li;  Mei, Cui-Xuan;  Yuan, Chun-Mao;  Tang, Gui-Hua;  Chen, Duo-Zhi   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/05/09 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：30/0  |  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：44/0  |  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