中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
昆明植物研究所 [11]
西北高原生物研究所 [10]
化学研究所 [7]
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中国科学院大学 [7]
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期刊论文 [121]
会议论文 [3]
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浏览/检索结果:
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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
Development of a multiple convolutional neural network-facilitated diagnostic screening program for immunofluorescence images of IgA nephropathy and idiopathic membranous nephropathy
期刊论文
OAI收割
CLINICAL KIDNEY JOURNAL, 2023, 页码: 11
作者:
Xia, Peng
;
Lv, Zhilong
;
Wen, Yubing
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/12/04
convolutional neural network
idiopathic membranous nephropathy
IgA nephropathy
immunofluorescence
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:18/0
  |  
提交时间:2024/03/07
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
Overview of the Observing System and Initial Scientific Accomplishments of the East Asian VLBI Network (EAVN)
期刊论文
OAI收割
Galaxies, 2022, 卷号: 10, 期号: 6, 页码: 113
作者:
Akiyama, Kazunori
;
Algaba, Juan-Carlos
;
An, Tao
;
Asada, Keiichi
;
Asanok, Kitiyanee
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/06/19
active galactic nucleus
astrometry
evolved star
star-forming region
very long baseline interferometry
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
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:34/0
  |  
提交时间:2022/12/23
ecosystem respiration
eddy covariance
terrestrial ecosystem
machine learning
substrate
scale extension
Metagenomic and Microscopic Analysis of Magnetotactic Bacteria in Tangyin Hydrothermal Field of Okinawa Trough
期刊论文
OAI收割
FRONTIERS IN MICROBIOLOGY, 2022, 卷号: 13, 页码: 13
作者:
Chen, Si
;
Yu, Min
;
Zhang, Wenyan
;
He, Kuang
;
Pan, Hongmiao
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/08/17
magnetotactic bacteria
16S rRNA gene
magnetosome genes
magnetofossil
hydrothermal field