机构

• 地理科学与资源研究所 [6]
• 近代物理研究所 [6]
• 西安光学精密机械研究... [5]
• 化学研究所 [3]
• 昆明植物研究所 [3]
• 地质与地球物理研究所 [2]
• 更多

采集方式

• OAI收割 [55]
• iSwitch采集 [1]

内容类型

• 期刊论文 [52]
• 会议论文 [2]
• 预印本 [2]

发表日期

• 2023 [8]
• 2022 [8]
• 2021 [5]
• 2020 [3]
• 2019 [5]
• 2017 [3]
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学科主题

• 数理科学和化学 [3]
• Cell Biolo... [2]
• Environmen... [2]
• 天文学 [2]
• Astrophysi... [1]
• Environmen... [1]
• 更多

筛选

浏览/检索结果: 共56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 first-in-human phase 1 study of simnotrelvir, a 3CL-like protease inhibitor for treatment of COVID-19, in healthy adult subjects 期刊论文  OAI收割 EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2023, 卷号: 191, 页码: 9 作者:  Yang, Xin-Mei;  Yang, Yang;  Yao, Bu-Fan;  Ye, Pan-Pan;  Xu, Yan   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/12/11 COVID-19  Simnotrelvir  Safety  Pharmacokinetics  Healthy subjects   Microseismicity and focal mechanism of blasting-induced block falling of intersecting chamber of large underground cavern under high geostress 期刊论文  OAI收割 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2023, 卷号: 30, 期号: 2, 页码: 542 作者:  Zhao, Jin-shuai;  Jiang, Quan;  Pei, Shu-feng;  Chen, Bing-rui;  Xu, Ding-ping   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/08/02 block falling  microseismic monitoring  blasting excavation  microseismicity  focal mechanism   Atlas of dynamic spectra of fast radio burst FRB 20201124A 期刊论文  OAI收割 CHINESE PHYSICS B, 2023, 卷号: 32, 期号: 2 作者:  Wang, Bo-Jun;  Xu, Heng;  Jiang, Jin-Chen;  Xu, Jiang-Wei;  Niu, Jia-Rui   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/03/20 fast radio burst  FAST   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;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  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   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：17/0  |  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：20/0  |  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