机构

• 上海药物研究所 [11]
• 近代物理研究所 [10]
• 高能物理研究所 [9]
• 国家天文台 [8]
• 植物研究所 [6]
• 地理科学与资源研究所 [5]
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采集方式

• OAI收割 [87]
• iSwitch采集 [2]

内容类型

• 期刊论文 [88]
• 预印本 [1]

发表日期

• 2024 [1]
• 2023 [7]
• 2022 [14]
• 2021 [21]
• 2020 [4]
• 2019 [7]
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学科主题

• Physics [4]
• Environmen... [2]
• Horticultu... [2]
• Astrophysi... [1]
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• Chemistry [1]
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筛选

浏览/检索结果: 共89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 Heterozygous variants in USP25 cause genetic generalized epilepsy 期刊论文  OAI收割 BRAIN, 2024, 页码: 16 作者:  Fan, Cui-Xia;  Liu, Xiao-Rong;  Mei, Dao-Qi;  Li, Bing-Mei;  Li, Wen-Bin   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/10/09 genetic generalized epilepsy  USP25  gain of function  loss of function   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：29/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   Prelimbic cortex dynorphin/& kappa; opioid receptor system modulates methamphetamine-induced cognitive impairment 期刊论文  OAI收割 ADDICTION BIOLOGY, 2023, 卷号: 28, 期号: 9, 页码: 12 作者:  Cheng, Ying-jie;  Deng, Ying-zhi;  Deng, Di;  Wu, Man-qing;  Chai, Jing-rui   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/10/17 cognitive impairment  dynorphin  methamphetamine  prelimbic cortex  & kappa  opioid receptor   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：24/0  |  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：126/0  |  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：42/0  |  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：27/0  |  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：42/0  |  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   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：55/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension