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浏览/检索结果: 共1770条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Comprehensively assessing priority odorants emitted from swine slurry combining nontarget screening with olfactory threshold prediction 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 917, 页码: 170428 作者:  Cheng, Yuan;  Chen, Tongbin;  Zheng, Guodi;  Yang, Junxing;  Yu, Bao   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/08 Priority pollutants  Volatile organic compounds  Odor  Structure-odor relationship  Machine learning   Minute-cadence obser v ations of the LAMOST Fields with the TMTS–V. Machine learning classification of TMTS catalogues of periodic variable stars 期刊论文  OAI收割 Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015 作者:  Guo, Fangzhou;  Lin, Jie;  Wang, Xiaofeng;  Chen, Xiaodian;  Li, Tanda   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/03/29 surveys  binaries: eclipsing  stars: oscillations (including pulsations)  stars: variables: Scuti   Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 13 作者:  Nie, Mingqiu;  Huang, Shengzhi;  Duan, Weili;  Leng, Guoyong;  Bai, Ganggang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/01/22 Spatiotemporal synchronism  Meteorological drought  Migration characteristics  Dynamics   Country-specific net-zero strategies of the pulp and paper industry 期刊论文  OAI收割 NATURE, 2024, 卷号: 626, 期号: 7998, 页码: 24 作者:  Dai, Min;  Sun, Mingxing;  Chen, Bin;  Shi, Lei;  Jin, Mingzhou   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/04/01 A progressive framework combining unsupervised and optimized supervised learning for debris flow susceptibility assessment 期刊论文  OAI收割 CATENA, 2024, 卷号: 234, 页码: 16 作者:  Liu, Yongqiang;  Chen, Jianping;  Sun, Xiaohui;  Li, Yongchao;  Zhang, Yiwei   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/12/27 Debris flow susceptibility  Watershed unit  Unsupervised learning  Supervised learning  Multi-source data   Combining landscape patterns and ecosystem services to disclose ecosystem changes in tropical cropland-forest shifting zones: Inspiration from Mainland Southeast Asia 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 434, 页码: 20 作者:  Fan, Feifei;  Li, Wenjun;  Feng, Zhiming;  Yang, Yanzheng   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/01/22 Cropland-forest shifts  Ecosystem changes  Landscape patterns  Ecosystem services  Mainland southeast asia   Mapping the spatiotemporal patterns of tillage practices across Chinese croplands with Google Earth Engine 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 216, 页码: 11 作者:  Wang, Yicheng;  Tao, Fulu;  Chen, Yi;  Yin, Lichang   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/03/01 Agricultural management  Crop mapping  Conservation agriculture  Croplands  Tillage   The driving factors of recreational utilization of ecological space in urban agglomerations: The perspective of urban political ecology 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 9 作者:  Zhou, Meijing;  Wang, Fuyuan   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/04 Ecological space  Urban political ecology  Recreational utilization of ecological space  Pearl river delta urban agglomeration  Tourism   Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 16, 期号: 1, 页码: 3456-3488 作者:  Liang, Ying;  Cao, Shisong;  Du, Mingyi;  Lu, Linlin;  Jiang, Jie   |  收藏  |  浏览/下载：61/0  |  提交时间：2023/10/09 Local climate zone  land cover  three-dimensional urban structure parameters  nighttime light  multi-classifiers   Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses