中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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共1554条,第1-10条
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Cognition-inspired multimodal attention fusion of close-range laser scanning data for globally representative tree species classification
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2026, 卷号: 335, 页码: 115269
作者:
Luo, Xin
;
Tian, Xin
;
Liang, Xinlian
;
Mokros, Martin
;
Chai, GuoQi
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/04/16
Tree species classification
Close-range sensing
Multimodal fusion
Deep learning
Attention mechanism
Forest remote sensing
Trade-offs between wetland resistance and recovery and thresholds in their responses to climate extremes
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2026, 卷号: 401, 页码: 128963
作者:
Liu, Jianwei
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/03/16
Resistance and recovery
Climate change
Extreme climatic events
Resilience thresholds
Generalized additive model
Wetland vegetation
Introduction to the Chinese Space Station Survey Telescope (CSST)
期刊论文
OAI收割
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2026, 卷号: 69, 期号: 3
作者:
Gong, Yan
;
Miao, Haitao
;
Zhan, Hu
;
Li, Zhao-Yu
;
Shangguan, Jinyi
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2026/02/05
telescope
cosmology
galaxy
Genome-wide identification and analysis of the
PLP_deC
genes involved in taurine synthesis in bivalves
期刊论文
OAI收割
COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS, 2025, 卷号: 56, 页码: 10
作者:
Pang, Meiqian
;
Qi, Haigang
;
Wang, Min
;
Du, Mingyang
;
Chen, Jincheng
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/12/09
Bivalves
Pyridoxal phosphate-dependent decarboxylase
Cysteine sulfinic acid decarboxylase
Glutamate decarboxylase-like 1
Taurine
Climate change impacts on hydrological regimes under spatially variable human-activity conditions
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2025, 卷号: 13, 页码: 1656661
作者:
Liu, Jianwei
;
Pang, Xiaoteng
;
Jing, Haihua
;
Wang, Mingwei
;
Shen, Longhai
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/11/17
climate change impacts on hydrology
hydrological regime alteration
human-activity gradient
spatial heterogeneity
hydrological modeling
CMIP6 projections
Membrane Lipid Remodeling Strategies Regulate Fluidity for Acute Temperature Adaptation in Oysters
期刊论文
OAI收割
EVOLUTIONARY APPLICATIONS, 2025, 卷号: 18, 期号: 9, 页码: 14
作者:
Du, Mingyang
;
Chen, Jincheng
;
Wang, Chaogang
;
Jiang, Zhuxiang
;
Wang, Min
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/12/09
global warming
homeoviscous adaptation
lipid remodeling
oysters
plasma membrane
Unravelling the regulatory network underlying divergent expression of the key lipid metabolism transcription factor SREBP in two congeneric oyster species
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2025, 卷号: 320, 页码: 13
作者:
Du, Mingyang
;
Bu, Tian
;
Wang, Chaogang
;
Chen, Jincheng
;
Jiang, Zhuxiang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/09/26
Lipid metabolism
SREBP
Oysters
A reliable lithospheric thermal structure model of the South Yellow Sea in East Asian continental margin based on radiogenic heat production measurements
期刊论文
OAI收割
MARINE AND PETROLEUM GEOLOGY, 2025, 卷号: 178, 页码: 12
作者:
Guo, Xingwei
;
Pang, Yumao
;
Shi, Xiaobin
;
Yang, Xiaoqiu
;
Zhang, Xunhua
  |  
收藏
  |  
浏览/下载:98/0
  |  
提交时间:2025/07/11
South Yellow Sea
East Asian continental margin
Lithospheric heat production
Surface heat flow
Geodynamics
Adaptive wetland management: Insights from nonlinear dynamics between vegetation and hydrological variables
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2025, 卷号: 177, 页码: 113797
作者:
Jing, Haihua
;
Liu, Jianwei
;
Zhang, Qin
;
Wang, Zhenshan
;
Pang, XiaoTeng
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/08/21
Nonlinear response
Normalized differnce vegetation index
Wetland ecohydrology
Generalized additive model
Time effect
Retrieval of non-optical active water quality parameters in complex Lake environments using a novel zoning-based ensemble modeling strategy
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2025, 卷号: 176, 页码: 113723
作者:
Cai, Cheng
;
Liu, Linlin
;
Wang, Ziming
;
Pang, Wei
;
Bai, Congshuo
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2025/07/18
Remote Sensing
NAWQPs
Hyperspectral Imaging
Aquatic vegetation
Ensemble Learning