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
生态环境研究中心 [24]
海洋研究所 [23]
西北高原生物研究所 [20]
金属研究所 [17]
合肥物质科学研究院 [11]
力学研究所 [9]
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OAI收割 [219]
内容类型
期刊论文 [186]
专利 [12]
CNKI期刊论文 [9]
会议论文 [9]
成果 [3]
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2024 [9]
2023 [17]
2022 [24]
2021 [24]
2020 [18]
2019 [5]
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Multidisci... [3]
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Pedigree reconstruction based on target sequencing in Pacific white shrimp Litopeneaus vannamei
期刊论文
OAI收割
AQUACULTURE, 2025, 卷号: 594, 页码: 9
作者:
Yang, Junqing
;
Yu, Yang
;
Zhou, Yizhou
;
Bao, Zhenning
;
Liu, Yichen
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/20
Pedigree reconstruction
Target sequencing
SNP panel
Litopeneaus vannamei
Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 2402418
作者:
Liu, Yueming
;
Yang, Xiaomei
;
Wang, Zhihua
;
Liu, Bin
;
Zhang, Junyao
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/10/21
Mariculture
remote sensing big data
global mapping
coastal zone
sustainable development
Differentiated growth of the most widely planted conifer in response to extreme droughts across semi-arid regions in Northern China
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 358, 页码: 11
作者:
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/30
Drought events
Tree-ring analysis
Growth resilience
Pine plantations
Pinus sylvestris var. mongolica
Resting Cysts of the Toxic Dinoflagellate
Gymnodinium catenatum
(Dinophyceae) Ubiquitously Distribute along the Entire Coast of China, with Higher Abundance in Bloom-Prone Areas
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 卷号: 12, 期号: 9, 页码: 13
作者:
Liu, Xiaohan
;
Tao, Zhe
;
Liu, Yuyang
;
Hu, Zhangxi
;
Deng, Yunyan
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/12/20
harmful algal blooms (HABs)
Gymnodinium catenatum
resting cyst
geographic distribution
quantitative PCR
Evidence for the production of asexual resting cysts in a free-living species of Symbiodiniaceae (Dinophyceae)
期刊论文
OAI收割
HARMFUL ALGAE, 2024, 卷号: 137, 页码: 16
作者:
Li, Ruoxi
;
Deng, Yunyan
;
Shang, Lixia
;
Liu, Yuyang
;
Tao, Zhe
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/02
Asexual resting cyst
Effrenium voratum
Fluorescence in situ hybridization (fish)
Life cycle
Single -cyst PCR sequencing
Real-time data processing method for CO
2
dispersion interferometer on EAST
期刊论文
OAI收割
PLASMA SCIENCE & TECHNOLOGY, 2024, 卷号: 26
作者:
Zhang, Jiamin
;
Yao, Yuan
;
Liu, Yuyang
;
Chu, Yuqi
;
Ruan, Tianyi
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/11/22
dispersion interferometer
real-time
electron density
FPGA
EAST
A thermodynamically-consistent non-isothermal phase-field model for probing evolution of crack propagation and phase transformation
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2024, 卷号: 270, 页码: 17
作者:
Zhen, Yu
;
Wu, Kaijin
;
Lu, Yuyang
;
Liu, Mengqi
;
He, Linghui
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2024/05/14
Phase -field
Multiphysics field
Crack propagation
Phase transformation
Thermal -mechanical coupling
Transoceanic ships as a source of alien dinoflagellate invasions of inland freshwater ecosystems
期刊论文
OAI收割
HARMFUL ALGAE, 2024, 卷号: 135, 页码: 19
作者:
Shang, Lixia
;
Hu, Zhangxi
;
Deng, Yunyan
;
Li, Jing
;
Liu, Yuyang
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/08/29
Harmful algal blooms (HABs)
Ballast water
Ballast tank sediments
Dinoflagellate resting cyst
Invasion
Intraspecific variation
DNA and RNA Stability of Marine Microalgae in Cold-Stored Sediments and Its Implications in Metabarcoding Analyses
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 卷号: 25, 期号: 3, 页码: 17
作者:
Chai, Zhaoyang
;
Liu, Yuyang
;
Jia, Siyang
;
Li, Fengting
;
Hu, Zhangxi
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2024/04/07
microalgae
DNA/RNA stability
resting cysts
sediments
metabarcoding
quantitative real-time PCR
A Multi-Stage Progressive Network with Feature Transmission and Fusion for Marine Snow Removal
期刊论文
OAI收割
SENSORS, 2024, 卷号: 24, 期号: 2, 页码: 14
作者:
Liu, Lixin
;
Liao, Yuyang
;
He, Bo
;
Kwan, Chiman
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/26
marine snow
underwater image processing
multi-stage
deep learning