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
寒区旱区环境与工程... [15]
近代物理研究所 [7]
地理科学与资源研究所 [6]
地质与地球物理研究所 [6]
青藏高原研究所 [4]
地球环境研究所 [4]
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OAI收割 [44]
iSwitch采集 [16]
内容类型
期刊论文 [52]
会议论文 [6]
SCI/SSCI论文 [2]
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2024 [3]
2023 [1]
2020 [6]
2019 [2]
2018 [6]
2017 [6]
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学科主题
地球科学::地球化学 [2]
地球科学::地质学 [1]
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The structure elucidation, anti-aging and hypoglycemic effects of an O-acetyl mannoglucan from the bulbs of Lanzhou lily
期刊论文
OAI收割
Fitoterapia, 2024, 卷号: 179, 期号: 2024, 页码: 106240
作者:
Heping Hui
;
Hui Jin
;
Xiaoyan Yang
;
Xuejun Wang
;
Bo Qin
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/23
O-acetyl mannoglucan from Lanzhou lily Structure elucidation Hypoglycemic and anti-aging effects
Fine structure and hypoglycemic effect of a galactoglucan from the bulbs of Lanzhou lily
期刊论文
OAI收割
International Journal of Biological Macromolecules, 2024, 卷号: 254, 期号: 1, 页码: 127774
作者:
Heping Hui
;
Hui Jin
;
Xiaoyan Yang
;
Xuejun Wang
;
Bo Qin
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/23
Lanzhou lily
Galactoglucan
Fine structure
Hypoglycemic effect
Characterization of the Microbial Community Structures, Soil Chemical Properties, and Enzyme Activity of Stellera chamaejasme (Thymelaeaceae) and Its Associated Forages in Alpine Grassland of North
期刊论文
OAI收割
Current Microbiology, 2024, 卷号: 81, 期号: 39, 页码: 2024
作者:
Hui Jin
;
Jinan Cheng
;
Haoyue Liu
;
Xiaoyan Yang
;
Lu Dai
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/23
Lanzhou lily
Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City-A Case Study of Lanzhou, China
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 11, 页码: 32
作者:
Xu, Yuanmao
;
Wu, Zhen
;
Zhang, Huiwen
;
Liu, Jie
;
Jing, Zhaohua
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/10/09
land subsidence
InSAR
machine learning
Lanzhou
risk assessment
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13
作者:
Zhang, Qiang
;
Wu, Shun
;
Wang, Xiangwen
;
Sun, Binzhen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13
作者:
Zhang, Qiang
;
Wu, Shun
;
Wang, Xiangwen
;
Sun, Binzhen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city
Impact of Rapid and Intensive Land Use/Land Cover Change on Soil Properties in Arid Regions: A Case Study of Lanzhou New Area, China
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 21, 页码: 16
作者:
Zhang, Runxia
;
Zhao, Xueyong
;
Zhang, Chencheng
;
Li, Jing
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/12/30
Lanzhou New Area
principal component analysis
rapid land use change
soil physiochemical properties
urbanization
A diversified tetrapod ichnite fauna from the Lower Cretaceous Hekou Group of Gansu Province, China
期刊论文
OAI收割
HISTORICAL BIOLOGY, 2020, 页码: 13
作者:
Xing, Lida
;
Peng, Cuo
;
Lockley, Martin G.
;
Wang, Yongdong
;
Li, Daqing
  |  
收藏
  |  
浏览/下载:123/0
  |  
提交时间:2020/12/28
Lanzhou-Minhe Basin
theropod tracks
sauropod tracks
ornithopod tracks
Magnetochronology of Mid-Miocene mammalian fauna in the Lanzhou Basin, northeastern Tibetan Plateau: Implications for Asian mammal migration
期刊论文
OAI收割
GEOSCIENCE FRONTIERS, 2020, 卷号: 11, 期号: 4, 页码: 1337-1344
作者:
Zhang, Peng
;
Ao, Hong
;
Roberts, Andrew P.
;
Li, Yongxiang
;
Sun, Qiang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/09/08
Magnetostratigraphy
Miocene
Tibetan plateau
Lanzhou Basin
Mammal migration
Myocricetodontinae
兰州市so2时空动态分布特征及其与城市生态系统的关系
期刊论文
OAI收割
生态学报, 2020, 卷号: 40, 期号: 8, 页码: 2577
作者:
王青青
;
巨天珍
;
王培玉
;
温飞
;
石垚
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/07/23
OMI
troposphere
SO_2column concentration
spatiotemporal characteristics
NDVI
Lanzhou City
OMI
对流层
SO_2柱浓度
时空特征
NDVI
兰州市