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• 西北高原生物研究所 [10]
• 高能物理研究所 [7]
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• OAI收割 [76]
• iSwitch采集 [9]

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• 期刊论文 [83]
• 会议论文 [2]

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• 2023 [8]
• 2022 [6]
• 2021 [14]
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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 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   Enhancement of in-plane thermal conductivity of flexible boron nitride heat spreaders by micro/nanovoid filling using deformable liquid metal nanoparticles 期刊论文  OAI收割 RARE METALS, 2023, 页码: 11 作者:  Tao, Pei-Di;  Wang, Shao-Gang;  Chen, Lu;  Ying, Jun-Feng;  Lv, Le   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/01/08 Boron nitride nanosheet  Liquid metal  Eutectic gallium-indium  In-plane thermal conductivity  Heat spreader   Photometric and Spectroscopic Observations of GRB 190106A: Emission from Reverse and Forward Shocks with Late-time Energy Injection 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL, 2023, 卷号: 948, 期号: 1, 页码: 14 作者:  Zhu, Zi-Pei;  Xu, Dong;  Fynbo, Johan P. U.;  Fu, Shao-Yu;  Zhang, Jun-Bo   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/11/14 Genetic structure, major chemical component contents and agronomic characters of the principal cultivars of the kelp Saccharina japonica in the largest kelp production province in China 期刊论文  OAI收割 JOURNAL OF APPLIED PHYCOLOGY, 2023, 页码: 10 作者:  Li, Xiao Dong;  Zhong, Chen Hui;  Jin, Zhen Hui;  Lin, Qi;  Shan, Ti Feng   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/12/13 Saccharina japonica  Phaeophyceae  Genetic diversity  Cultivar  Seaweed farming  Kelp   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:     |  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   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：47/0  |  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：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