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 [5]
上海药物研究所 [5]
植物研究所 [5]
新疆理化技术研究所 [4]
昆明植物研究所 [4]
山西煤炭化学研究所 [3]
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OAI收割 [60]
iSwitch采集 [5]
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期刊论文 [61]
会议论文 [4]
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2024 [1]
2023 [8]
2022 [3]
2021 [2]
2020 [1]
2019 [3]
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Plant Scie... [3]
Environmen... [2]
Geoscience... [2]
Agronomy [1]
Applied [1]
Biochemist... [1]
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Neglected plants of
Prunus
L. (Rosaceae) in East China
期刊论文
OAI收割
PHYTOTAXA, 2024, 卷号: 669, 期号: 1, 页码: 13-24
作者:
Li, Jun-Ping
;
Chen, Feng
;
Xie, Wen-Yuan
;
Wang, Jun-Feng
;
Mao, Li-Mi
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/03/28
Prunus
taxonomy
new species
new variety
East China
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:
  |  
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
Abnormality of anxious behaviors and functional connectivity between the amygdala and the frontal lobe in maternally deprived monkeys
期刊论文
OAI收割
BRAIN AND BEHAVIOR, 2023, 页码: 10
作者:
Feng, Xiao-Li
;
Wang, Jiao-Jian
;
Wu, Jing
;
Ren, Xiao-Feng
;
Zhou, Hui
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/11/17
amygdala-prefrontal connection
anxious behaviors
brain circuits
maternal deprivation
rhesus monkeys
Anti-Inflammatory Steroids from the South China Sea Soft Coral Lobophytum sarcophytoides
期刊论文
OAI收割
CHEMISTRY & BIODIVERSITY, 2023, 页码: 5
作者:
Li, Song-Wei
;
Liu, Jiao
;
Fu, Yan
;
Yao, Li-Gong
;
Zhang, Hai-Yan
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2023/10/17
Anti-inflammatory activity
Lobophytum sarcophytoides
Soft coral
Steroids
Structure elucidation
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:127/0
  |  
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:44/0
  |  
提交时间:2022/12/09
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
Clarifying the identity of marketed edible Huotanjun (Burnt Charcoal Mushroom) in southern China
期刊论文
OAI收割
MYCOLOGICAL PROGRESS, 2023, 卷号: 22, 期号: 12, 页码: 80
作者:
Huang,Lian-Hui
;
Wang,Jing
;
Li,Shu-Hong
;
Qin,Wei-Qiang
;
Li,Hai-Jiao
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/05/09
Edible mushrooms
Molecular phylogeny
4 new species
Russula
Russula subgen. Compactae
POISONING OUTBREAKS
PHYLOGENETIC-RELATIONSHIPS
SPECIES CONCEPTS
RUSSULA PERS.
LACTIFLUUS
FUNGI
COMMUNITIES
THAILAND
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:29/0
  |  
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:43/0
  |  
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