机构

• 高能物理研究所 [15]
• 近代物理研究所 [9]
• 地理科学与资源研究所 [5]
• 上海天文台 [2]
• 中国科学院大学 [2]
• 合肥物质科学研究院 [2]
• 更多

采集方式

• OAI收割 [31]
• iSwitch采集 [16]

内容类型

• 期刊论文 [47]

发表日期

• 2024 [2]
• 2023 [6]
• 2022 [5]
• 2020 [1]
• 2018 [7]
• 2017 [7]
• 更多

学科主题

• Environmen... [2]
• Chemistry [1]
• Geoscience... [1]
• Meteorolog... [1]
• Pharmacolo... [1]
• 天文学 [1]
• 更多

筛选

浏览/检索结果: 共47条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 iMeta Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health 期刊论文  OAI收割 IMETA, 2024, 卷号: 3, 期号: 6, 页码: 19 作者:  Wang, Yao;  Hou, Huiyu;  Luo, Hao;  Xun, Jiani;  Ma, Chuang   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/07/21 STCF conceptual design report (Volume 1): Physics & detector 期刊论文  OAI收割 FRONTIERS OF PHYSICS, 2024, 卷号: 19, 期号: 1, 页码: 14701 作者:  Achasov, M;  Ai, XC;  An, LP;  Aliberti, R;  An, Q   |  收藏  |  浏览/下载：5/0  |  提交时间：2026/03/18 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：89/0  |  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：183/0  |  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：94/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Antiviral Isocoumarins from a Cigar Tobacco-Derived Endophytic Fungus Aspergillus oryzae 期刊论文  OAI收割 CHEMISTRY OF NATURAL COMPOUNDS, 2023, 卷号: 59, 期号: 2, 页码: 242-245 作者:  Kong,Guang-Hui;  Gu,Xue-Jiao;  Wu,Jing;  Zheng,Jun-Na;  Huang,De-Quan   |  收藏  |  浏览/下载：70/0  |  提交时间：2024/05/09 isocoumarins  endophytic fungus A  oryzae  cigar tobacco  anti-TMV activity  FERMENTATION PRODUCTS  DERIVATIVES  BUTYROLACTONES   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：78/0  |  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：94/0  |  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：116/0  |  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：94/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension