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
古脊椎动物与古人类... [11]
青岛生物能源与过程研... [9]
地理科学与资源研究所 [6]
生态环境研究中心 [1]
植物研究所 [1]
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OAI收割 [28]
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期刊论文 [27]
专利 [1]
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2023 [2]
2022 [1]
2021 [2]
2020 [3]
2018 [8]
2017 [2]
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能源应用技术::绿色... [2]
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浏览/检索结果:
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Ancient mitogenomes reveal a high maternal genetic diversity of Pleistocene woolly rhinoceros in Northern China
期刊论文
OAI收割
BMC ECOLOGY AND EVOLUTION, 2023, 卷号: 23, 期号: 1, 页码: 8
作者:
Yuan, Junxia
;
Sun, Guojiang
;
Xiao, Bo
;
Hu, Jiaming
;
Wang, Linying
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2023/11/02
Woolly rhinoceros
Maternal diversity
Northern China
Dispersal
Pleistocene
Super-resolution reconstruction of vertebrate microfossil computed tomography images based on deep learning
期刊论文
OAI收割
X-RAY SPECTROMETRY, 2023, 页码: 10
作者:
Hou, Yemao
;
Canul-Ku, Mario
;
Cui, Xindong
;
Zhu, Min
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/02
CT image
deep learning
microfossil
super-resolution reconstruction
WSRGAN
Presence of organophosphate flame retardants (OPEs) in different functional areas in residential homes in Beijing, China
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 115, 期号: 0, 页码: 277-285
作者:
Lv, Kun
;
Bai, Lu
;
Song, Boyu
;
Ma, Xindong
;
Hou, Minmin
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/11/08
HUMAN EXPOSURE ASSESSMENT
DIPHENYL ETHERS PBDES
INDOOR DUST
PHTHALATE-ESTERS
ORGANIC-COMPOUNDS
SURFACE-FILMS
SETTLED DUST
AIR
URBAN
PLASTICIZERS
Semantic segmentation of vertebrate microfossils from computed tomography data using a deep learning approach
期刊论文
OAI收割
JOURNAL OF MICROPALAEONTOLOGY, 2021, 卷号: 40, 期号: 2, 页码: 163-173
作者:
Hou, Yemao
;
Canul-Ku, Mario
;
Cui, Xindong
;
Hasimoto-Beltran, Rogelio
;
Zhu, Min
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2021/11/30
Ancient Mitogenomes Provide New Insights into the Origin and Early Introduction of Chinese Domestic Donkeys
期刊论文
OAI收割
FRONTIERS IN GENETICS, 2021, 卷号: 12, 页码: 8
作者:
Wang, Linying
;
Sheng, Guilian
;
Preick, Michaela
;
Hu, Songmei
;
Deng, Tao
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2022/01/11
Chinese domestic donkeys
ancient DNA
mitochondrial genome
maternal lineage
divergence time
Mitochondrial genomes of Late Pleistocene caballine horses from China belong to a separate clade
期刊论文
OAI收割
QUATERNARY SCIENCE REVIEWS, 2020, 卷号: 250, 页码: 8
作者:
Yuan, Junxia
;
Sheng, Guilian
;
Preick, Michaela
;
Sun, Boyang
;
Hou, Xindong
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/09/17
Equus dalianensis
Equus przewalskii
Pleistocene caballine horses
Ancient DNA
Phylogenetic relationship
Divergence time
Ancient DNA of northern China Hystricidae sub-fossils reveals the evolutionary history of old world porcupines in the Late Pleistocene
期刊论文
OAI收割
BMC EVOLUTIONARY BIOLOGY, 2020, 卷号: 20, 期号: 1, 页码: 8
作者:
Sheng, Guilian
;
Hu, Jiaming
;
Tong, Haowen
;
Llamas, Bastien
;
Yuan, Junxia
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/09/10
Porcupine
Ancient DNA
Phylogenetic analysis
Evolutionary history
Pleistocene
China
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
作者:
Hou, Yemao
;
Cui, Xindong
;
Canul-Ku, Mario
;
Jin, Shichao
;
Hasimoto-Beltran, Rogelio
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/03/01
Three-dimensional displays
Solid modeling
Computational modeling
Machine learning
Two dimensional displays
Biological system modeling
Shape
Archives of digital morphology
data preprocessing
feature extraction
3D microfossil model classification
deep learning
Quantitative analysis of research on China's land transfer system
期刊论文
OAI收割
LAND USE POLICY, 2018, 卷号: 74, 页码: 301-308
作者:
Yuan, Xuefeng
;
Du, Wenpeng
;
Wei, Xindong
;
Ying, Yue
;
Shao, Yajing
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/05/30
Land transfer system
Quantitative literature analysis
Core journals
Research content
Quantitative analysis of research on China's land transfer system
期刊论文
OAI收割
LAND USE POLICY, 2018, 卷号: 74, 页码: 301-308
作者:
Yuan, Xuefeng
;
Du, Wenpeng
;
Wei, Xindong
;
Ying, Yue
;
Shao, Yajing
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/05/30
Land transfer system
Quantitative literature analysis
Core journals
Research content