中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究... [26]
地球环境研究所 [4]
合肥物质科学研究院 [4]
金属研究所 [3]
高能物理研究所 [3]
中国科学院大学 [3]
更多
采集方式
OAI收割 [57]
iSwitch采集 [5]
内容类型
期刊论文 [60]
会议论文 [2]
发表日期
2025 [3]
2024 [2]
2023 [7]
2022 [12]
2021 [13]
2020 [2]
更多
学科主题
Science & ... [1]
天文学 [1]
天文学::天体物理学 [1]
天文学::天体物理学... [1]
天文学::星系与宇宙... [1]
物理学 [1]
更多
筛选
浏览/检索结果:
共62条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Science objectives of the Einstein Probe mission
期刊论文
OAI收割
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2025, 卷号: 68, 期号: 3
作者:
Yuan, Weimin
;
Dai, Lixin
;
Feng, Hua
;
Jin, Chichuan
;
Jonker, Peter
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2025/02/13
Einstein Probe
X-ray astronomy
X-ray telescopes
time-domain astronomy
transients
variability
Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2025, 卷号: 7, 期号: 1, 页码: 15008
作者:
Wen, Hui
;
Zhong, Ziyu
;
Kong, Xujie
;
Wang, Jichun
;
Li, Renqiang
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/02/24
carbon emission
carbon storage
carbon benefit
LUCC
low carbon strategies
MMRFE
Stability of China's terrestrial ecosystems carbon sink during 2000-2020
期刊论文
OAI收割
RESOURCES CONSERVATION AND RECYCLING, 2025, 卷号: 212, 页码: 108007
作者:
Shi, Liang
;
He, Honglin
;
Zhang, Li
;
Wang, Junbang
;
Ren, Xiaoli
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/01/17
China's terrestrial ecosystem
Net ecosystem productivity
Resilience
Temporal variability
Instability
An atomically controlled insulator-to-metal transition in iridate/manganite heterostructures
期刊论文
OAI收割
NATURE COMMUNICATIONS, 2024, 卷号: 15
作者:
Men, Enyang
;
Li, Deyang
;
Zhang, Haiyang
;
Chen, Jingxin
;
Qiao, Zhihan
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/11/20
Quantifying the industrial development modes and their capability of realizing the ecological value in rural China
期刊论文
OAI收割
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 卷号: 203, 页码: 123386
作者:
Li, Xunhuan
;
Wang, Yongsheng
;
Wang, Zhaosheng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/06/17
Rural sustainable development
Rural industrial development mode
Ecological value realization
Quantitative assessment
China
Evaluation of the impacts of ozone on the vegetation productivity of woodland and grassland ecosystems in China
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2023, 卷号: 483, 页码: 110426
作者:
Wang, Qinyi
;
Huang, Mei
;
Wang, Shaoqiang
;
Chen, Bin
;
Liu, Zhenhai
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/08/22
Ozone
Grassland
Shrub
Forest
POD
EOS-dependent millihertz quasi-periodic oscillation in low-mass X-ray binary
期刊论文
OAI收割
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 卷号: 525, 期号: 2, 页码: 2054-2068
作者:
Liu, Helei
;
Gao, Yong
;
Li, Zhaosheng
;
Dohi, Akira
;
Wang, Weiyang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/11/14
accretion
stars:neutron star
X-rays: burst
2D Antiferroelectric Hybrid Perovskite with a Large Breakdown Electric Field And Energy Storage Density
期刊论文
OAI收割
ADVANCED FUNCTIONAL MATERIALS, 2023, 页码: 10
作者:
Li, Lingli
;
Li, Xiaoqi
;
Li, Yizhuo
;
Huang, Biaohong
;
Qi, Ji
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/01/08
2D hybrid perovskites
antiferroelectric
energy storage density
ferroelectric
phase transition
Increasing NH3 Emissions in High Emission Seasons and Its Spatiotemporal Evolution Characteristics during 1850-2060
期刊论文
OAI收割
ATMOSPHERE, 2023, 卷号: 14, 期号: 7, 页码: 1056
作者:
Li, Tong
;
Wang, Zhaosheng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/09/07
ammonia (NH3) emissions
spatial and temporal variability
scenario analysis
long-term trends
Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China's forest ecosystem
期刊论文
OAI收割
HELIYON, 2023, 卷号: 9, 期号: 6, 页码: e17243
作者:
Wang, Zhaosheng
;
Li, Renqiang
;
Guo, Qingchun
;
Wang, Zhaojun
;
Huang, Mei
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/09/07
Learning ensembles of process-based models
Random forest model
Forest ecosystem
Carbon sink potential