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• 昆明植物研究所 [12]
• 金属研究所 [8]
• 水土保持研究所 [7]
• 植物研究所 [7]
• 地理科学与资源研究所 [6]
• 上海药物研究所 [4]
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采集方式

• OAI收割 [82]
• iSwitch采集 [3]

内容类型

• 期刊论文 [85]

发表日期

• 2024 [1]
• 2023 [7]
• 2022 [19]
• 2021 [4]
• 2020 [10]
• 2019 [7]
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学科主题

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筛选

浏览/检索结果: 共85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 Molecular insights into the activation mechanism of GPR156 in maintaining auditory function 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 16 作者:  Ma, Xiangyu;  Chen, Li-Nan;  Liao, Menghui;  Zhang, Liyan;  Xi, Kun   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/01/14 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：31/0  |  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：129/0  |  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   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Earthquake-induced impulsive release of water in the fractured aquifer system: Insights from the long-term hydrochemical monitoring of hot springs in the Southeast Tibetan Plateau 期刊论文  OAI收割 APPLIED GEOCHEMISTRY, 2023, 卷号: 148, 页码: 16 作者:  Tian, Jiao;  Zhou, Xiaocheng;  Yan, Yucong;  He, Miao;  Li, Jingchao   |  收藏  |  浏览/下载：25/0  |  提交时间：2023/03/30 Hot springs  Hydrochemical characteristics  Earthquake-induced response  Eastern edge of the Tibetan Plateau   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：32/0  |  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：46/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Genome-wide signatures of the geographic expansion and breeding of soybean 期刊论文  OAI收割 SCIENCE CHINA-LIFE SCIENCES, 2023, 卷号: 66, 期号: 2, 页码: 350-365 作者:  Li, Ying-Hui;  Qin, Chao;  Wang, Li;  Jiao, Chengzhi;  Hong, Huilong   |  收藏  |  浏览/下载：28/0  |  提交时间：2024/03/07 soybean  adaptation  introgression  flowering time  breeding   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：68/0  |  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：59/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension