机构

• 昆明植物研究所 [25]
• 近代物理研究所 [21]
• 理论物理研究所 [8]
• 植物研究所 [7]
• 地理科学与资源研究所 [5]
• 金属研究所 [4]
• 更多

采集方式

• OAI收割 [107]
• iSwitch采集 [2]

内容类型

• 期刊论文 [107]
• 专著章节/文集论文 [2]

发表日期

• 2023 [8]
• 2022 [7]
• 2021 [12]
• 2020 [7]
• 2019 [13]
• 2018 [6]
• 更多

学科主题

• Physics [8]
• Plant Scie... [8]
• Environmen... [2]
• Multidisci... [2]
• Astronomy ... [1]
• Ecology [1]
• 更多

筛选

浏览/检索结果: 共109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 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   A longitudinal resource for population neuroscience of school-age children and adolescents in China 期刊论文  OAI收割 SCIENTIFIC DATA, 2023, 卷号: 10, 期号: 1, 页码: 24 作者:  Fan, Xue-Ru;  Wang, Yin-Shan;  Chang, Da;  Yang, Ning;  Rong, Meng-Jie   |  收藏  |  浏览/下载：40/0  |  提交时间：2023/12/11 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：40/0  |  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：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   Primula luquanensis sp. nov. (Primulaceae), a New Species from Southwestern China, Reveals a Novel Floral Form in the Heterostyly-Prevailing Genus 期刊论文  OAI收割 PLANTS-BASEL, 2023, 卷号: 12, 期号: 3, 页码: 534 作者:  Wu,Zhi-Kun;  Guo,Yong-Jie;  Zhang,Ting;  Burgess,Kevin S.;  Zhou,Wei   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/05/09 China  new species  primrose  Primula sect  Aleuritia  YUNNAN  INSIGHTS   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