机构

• 昆明植物研究所 [10]
• 合肥物质科学研究院 [10]
• 西双版纳热带植物园 [9]
• 近代物理研究所 [9]
• 上海药物研究所 [7]
• 心理研究所 [7]
• 更多

采集方式

• OAI收割 [135]
• iSwitch采集 [3]

内容类型

• 期刊论文 [135]
• 会议论文 [3]

发表日期

• 2023 [7]
• 2022 [6]
• 2021 [19]
• 2020 [10]
• 2019 [7]
• 2018 [7]
• 更多

学科主题

• Environmen... [3]
• Physics [3]
• Water Reso... [3]
• Agricultur... [2]
• Geology [2]
• Geoscience... [2]
• 更多

筛选

浏览/检索结果: 共138条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：13/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   A Spectral-timing Study of the Inner Flow Geometry in MAXI J1535-571 with Insight-HXMT and NICER 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL, 2023, 卷号: 953, 期号: 2, 页码: 12 作者:  Yu, Wei;  Bu, Qing-Cui;  Liu, He-Xin;  Huang, Yue;  Zhang, Liang   |  收藏  |  浏览/下载：11/0  |  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：41/0  |  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   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Axion-meson mixing in light of recent lattice η-η′ simulations and their two-photon couplings within U(3) chiral theory 期刊论文  OAI收割 JOURNAL OF HIGH ENERGY PHYSICS, 2023, 期号: 4, 页码: 22 作者:  Gao, Rui;  Guo, Zhi-Hui;  Oller, J. A.;  Zhou, Hai-Qing   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/07 STRONG-CP PROBLEM  LARGE-N-C  PERTURBATION-THEORY  INVARIANCE  SYMMETRY  U(1)   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：7/0  |  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：18/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Solar X-ray and EUV imager on board the FY-3E satellite 期刊论文  OAI收割 LIGHT-SCIENCE & APPLICATIONS, 2022, 卷号: 11, 期号: 1, 页码: 13 作者:  Chen, Bo;  Zhang, Xiao-Xin;  He, Ling-Ping;  Song, Ke-Fei;  Liu, Shi-Jie   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/03/31 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：45/0  |  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：34/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension