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
地理科学与资源研究所 [8]
近代物理研究所 [7]
地质与地球物理研究所 [5]
昆明植物研究所 [5]
过程工程研究所 [5]
高能物理研究所 [5]
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OAI收割 [69]
iSwitch采集 [6]
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期刊论文 [74]
预印本 [1]
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2025 [1]
2024 [2]
2023 [7]
2022 [7]
2021 [8]
2020 [2]
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Physics [3]
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浏览/检索结果:
共75条,第1-10条
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Revealing spatiotemporal patterns of fertilizer use and agricultural non-point source pollution in smallholder farming watersheds of mountainous and hilly areas
期刊论文
OAI收割
AGRICULTURAL WATER MANAGEMENT, 2025, 卷号: 322, 页码: 109950
作者:
Lang, Lichen
;
Li, Zhihui
;
Zang, Hongkuan
;
Gao, Xing
;
Wu, Feng
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/19
Mountainous and hilly areas (MHAs)
Smallholder farming
SWAT plus
ANPS pollution
Agriculture management
Spatiotemporal heterogeneity
iMeta
Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health
期刊论文
OAI收割
IMETA, 2024, 卷号: 3, 期号: 6, 页码: 19
作者:
Wang, Yao
;
Hou, Huiyu
;
Luo, Hao
;
Xun, Jiani
;
Ma, Chuang
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/07/21
Sulfur isotopes of lamprophyres and implications for the control of metasomatized lithospheric mantle on the giant Jiaodong gold deposits, eastern China
期刊论文
OAI收割
GEOLOGICAL SOCIETY OF AMERICA BULLETIN, 2024, 卷号: 136, 期号: 7-8, 页码: 3405-3418
作者:
Wang, Xiang
;
Wang, Zaicong
;
Zhang, Wen
;
Ma, Liang
;
Chen, Weijun
  |  
收藏
  |  
浏览/下载:111/0
  |  
提交时间:2024/08/21
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:83/0
  |  
提交时间:2023/12/04
Carbon cycles
Eddy covariance
Terrestrial ecosystems
Machine learning
Ecosystem responses
Structure of the Gonghe Sedimentary Basin in the northeastern Tibetan Plateau: evidence from teleseismic P waves recorded by a dense seismic array
期刊论文
OAI收割
GEOPHYSICAL JOURNAL INTERNATIONAL, 2023, 卷号: 235, 期号: 2, 页码: 1697-1711
作者:
Deng, Yufeng
;
Li, Zhiwei
;
Huang, Song
;
Xu, Ya
;
Hao, Tianyao
  |  
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2023/12/29
Time-series analysis
Body waves
Crustal imaging
Earthquake ground motions
Wave propagation
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:181/0
  |  
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:93/0
  |  
提交时间:2022/12/09
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
The genome of the glasshouse plant noble rhubarb (Rheum nobile) provides a window into alpine adaptation
期刊论文
OAI收割
COMMUNICATIONS BIOLOGY, 2023, 卷号: 6, 期号: 1, 页码: 706
作者:
Feng,Tao
;
Pucker,Boas
;
Kuang,Tianhui
;
Song,Bo
;
Yang,Ya
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2024/05/09
TRANSPOSABLE ELEMENTS
MOLECULAR EVOLUTION
TRANSLUCENT BRACTS
DIVERGENCE TIMES
ANNOTATION
TOOL
ALIGNMENT
POLYGONACEAE
PREDICTION
RETROTRA
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:74/0
  |  
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:90/0
  |  
提交时间:2024/03/07
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension