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
近代物理研究所 [26]
上海药物研究所 [15]
昆明植物研究所 [13]
合肥物质科学研究院 [12]
植物研究所 [10]
地球化学研究所 [9]
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期刊论文 [205]
会议论文 [5]
CNKI期刊论文 [1]
预印本 [1]
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2025 [1]
2024 [6]
2023 [9]
2022 [24]
2021 [20]
2020 [14]
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Physics [6]
Water Reso... [5]
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Terrestrial ecosystem response to Early Cretaceous global environmental change: A calibrated, high-resolution Aptian record from Northeast China
期刊论文
OAI收割
EARTH AND PLANETARY SCIENCE LETTERS, 2025, 卷号: 653, 页码: 13
作者:
Sun, Ming-Dao
;
Lin, Qin
;
Ramezani, Jahandar
;
Liu, Jiang-Si
;
Lu, Zheng-An
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/04/03
Early Cretaceous
Aptian
CA-ID-TIMS geochronology
Astrochronology
Carbon isotope stratigraphy
π-HuB: the proteomic navigator of the human body
期刊论文
OAI收割
NATURE, 2024, 卷号: 636, 期号: 8042, 页码: 322-331
作者:
He, Fuchu
;
Aebersold, Ruedi
;
Baker, Mark S.
;
Bian, Xiuwu
;
Bo, Xiaochen
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/04/01
An unusual winter bloom of dinoflagellates with notable damage to kelp cultivation around Shandong peninsula, China
期刊论文
OAI收割
MARINE ENVIRONMENTAL RESEARCH, 2024, 卷号: 201, 页码: 9
作者:
Geng, Hui-Xia
;
Kong, Fan-Zhou
;
Wang, Jin-Xiu
;
Zhang, Qing-Chun
;
Li, Fang
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/12/20
Harmful algal bloom
dinoflagellate
Eutrophication
Extreme precipitation
Remote Sensing of
Ulva Prolifera
Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2024, 页码: 22
作者:
Pan, Xinliang
;
Cao, Mengmeng
;
Zheng, Longxiao
;
Xiao, Yanfang
;
Qi, Lin
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/10/24
Remote sensing
Monitoring
Green products
Optical sensors
Tides
Synthetic aperture radar
Satellites
Remote Sensing of
Ulva Prolifera
Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2024, 页码: 22
作者:
Pan, Xinliang
;
Cao, Mengmeng
;
Zheng, Longxiao
;
Xiao, Yanfang
;
Qi, Lin
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/12/20
Remote sensing
Monitoring
Green products
Optical sensors
Tides
Synthetic aperture radar
Satellites
Discovery of a novel BTK inhibitor S-016 and identification of a new strategy for the treatment of lymphomas including BTK inhibitor-resistant lymphomas
期刊论文
OAI收割
ACTA PHARMACOLOGICA SINICA, 2024, 页码: 11
作者:
Song, Pei-ran
;
Wan, Zhi-peng
;
Huang, Ge-ge
;
Song, Zi-lan
;
Zhang, Tao
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2024/07/12
diffuse large B-cell lymphoma
BTK inhibitors
drug resistance
BTK C481F
BTK A428D
SYHA1813
Mineralogy and geochemistry of magnetite in the Zhdanov Ni-Cu-(PGE) deposit in the Pechenga ore field, Russia: Implications for the formation of magmatic sulfide ores
期刊论文
OAI收割
Journal of Asian Earth Sciences, 2024, 卷号: 259, 页码: 105923
作者:
Qing-Lin Liang
;
Xie-Yan Song
;
Valery Smolkin
;
Nadezhda A. Krivolutskaya
;
Song-Yue Yu
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/04/08
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:30/0
  |  
提交时间:2023/12/04
Carbon cycles
Eddy covariance
Terrestrial ecosystems
Machine learning
Ecosystem responses
Large Telescope Wind Load Estimation with Gradient Segments Superposition and its Servo Control
期刊论文
OAI收割
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2023, 卷号: 23, 期号: 9, 页码: 12
作者:
Yu, Jia-Heng
;
Xue, Song
;
Luan, Tian
;
Wang, Long-Yang
;
Lian, Pei-Yuan
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/11/14
methods: analytical
methods: data analysis
methods: numerical
telescopes
Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models
期刊论文
OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2023, 卷号: 37, 期号: 4, 页码: 15
作者:
Lin, Shangrong
;
Hu, Zhongmin
;
Wang, Yingping
;
Chen, Xiuzhi
;
He, Bin
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/10/09
interannual variability
GPP
LAI
terrestrial ecosystem model