机构

• 地理科学与资源研究所 [7]
• 国家空间科学中心 [4]
• 地质与地球物理研究所 [1]
• 化学研究所 [1]
• 昆明植物研究所 [1]
• 武汉物理与数学研究所 [1]
• 更多

采集方式

• OAI收割 [19]

内容类型

• 期刊论文 [19]

发表日期

• 2024 [3]
• 2023 [4]
• 2022 [4]
• 2021 [2]
• 2014 [2]
• 2013 [2]
• 更多

学科主题

• 空间物理 [2]

筛选

浏览/检索结果: 共19条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 iMeta Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health 期刊论文  OAI收割 IMETA, 2024, 卷号: 3, 期号: 6, 页码: 19 作者:  Wang, Yao;  Hou, Huiyu;  Luo, Hao;  Xun, Jiani;  Ma, Chuang   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/07/21 Modelling Soil Ammonium Nitrogen, Nitrate Nitrogen and Available Phosphorus Using Normalized Difference Vegetation Index and Climate Data in Xizang's Grasslands 期刊论文  OAI收割 SUSTAINABILITY, 2024, 卷号: 16, 期号: 11, 页码: 4695 作者:  Sun, Wei;  Qi, Huxiao;  Li, Tianyu;  Qin, Yong;  Fu, Gang   |  收藏  |  浏览/下载：45/0  |  提交时间：2024/07/12 big data mining  random forest  global change  Tibetan Plateau  alpine region  Tibet   Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, and phosphorus and their ratios in the Xizang grasslands? 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2024, 卷号: 11, 页码: 1340020 作者:  Wang, Shaohua;  Qi, Huxiao;  Li, Tianyu;  Qin, Yong;  Fu, Gang   |  收藏  |  浏览/下载：56/0  |  提交时间：2024/03/11 big data mining  random forest  global change  Tibetan plateau  alpine region   A combined methodology for reconstructing source-to-sink basin evolution, exemplified by the Triassic Songpan-Ganzi basin, central China 期刊论文  OAI收割 SEDIMENTARY GEOLOGY, 2023, 卷号: 458, 页码: 18 作者:  Chen, Guohui;  Hu, Fangyang;  Robertson, Alastair H. F.;  Garzanti, Eduardo;  Zhang, Shaohua   |  收藏  |  浏览/下载：77/0  |  提交时间：2024/01/02 Detrital zircon geochronology  Paleo-elevation  Proto-source contribution  Provenance  Songpan-Ganzi basin   Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands 期刊论文  OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 卷号: 11 作者:  Wang, Shaohua;  Fu, Gang   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/04/06 soil quality  global change  random forest  alpine ecosystem  alpine region  'third pole'  Tibetan plateau  NDVI   Pangenome analysis provides insight into the evolution of the orange subfamily and a key gene for citric acid accumulation in citrus fruits 期刊论文  OAI收割 NATURE GENETICS, 2023 作者:  Huang,Yue;  He,Jiaxian;  Xu,Yuantao;  Zheng,Weikang;  Wang,Shaohua   |  收藏  |  浏览/下载：56/0  |  提交时间：2024/07/22 PHYLOGENETIC ANALYSIS  VACUOLAR PH  GENOME  RUTACEAE  ACCURATE  ORIGIN  TOOL  CLASSIFICATION  PROGRAM  RETROTRANSPOSONS   ThCr2Si2C: An Antiferromagnetic Metal with a Cr2C Square Lattice 期刊论文  OAI收割 INORGANIC CHEMISTRY, 2023, 卷号: 63, 期号: 1, 页码: 211-218 作者:  Xiao, Yusen;  Li, Baizhuo;  Duan, Qingchen;  Liu, Shaohua;  Ren, Qingyong   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/17 Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees   Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 20 作者:  Han, Fusong;  Fu, Gang;  Yu, Chengqun;  Wang, Shaohua   |  收藏  |  浏览/下载：71/0  |  提交时间：2022/09/21 random-forest model  multiple linear regression  support-vector machines  recursive-regression trees