1 to 10 of 87 结果
2025-3-13 - Model data
刘明旭, 2025, "N export for 1980 and 2015", https://doi.org/10.18170/DVN/HCGEHA, 北京大学开放研究数据平台, V1
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2025-3-7 - 新鲜烹饪有机气溶胶颗粒在大部分城市温度范围内以液态形式存在:对化学寿命的影响
侯苏益, 2025, "Fresh cooking organic aerosol particles exist as liquid in most of urban temperature range: implication for chemical lifetime", https://doi.org/10.18170/DVN/2VZVF2, 北京大学开放研究数据平台, V1, UNF:6:u8CBqcAegvXZAM2La+8n8w== [fileUNF]
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2025-2-24 - GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning
韩炳, 2024, "同时发表的论文: GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning", https://doi.org/10.18170/DVN/UIS4VC, 北京大学开放研究数据平台, V7
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2025-1-27 - Published data of Shen et al.
沈路路, 2023, "Replication Data for: The large role of biogeochemical feedbacks in stimulating current and future wetland methane emissions", https://doi.org/10.18170/DVN/ZLEPKQ, 北京大学开放研究数据平台, V3, UNF:6:p96582PayNxwhqX9+ebJGA== [fileUNF]
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2025-1-19 - Weihan Li Publication #2
李伟汉, 2025, "Weihan Li Publication #2", https://doi.org/10.18170/DVN/SFRGES, 北京大学开放研究数据平台, V1, UNF:6:XwBSjcDGc+dVuwfdWfaSWg== [fileUNF]
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2024-12-20 - Published data of Qu et al.
Meng Qu, 2024, "Prolonged wind droughts in a warming climate threaten global wind power security", https://doi.org/10.18170/DVN/50VDAL, 北京大学开放研究数据平台, V2, UNF:6:QRVP1ohy63g+/CFrlaponA== [fileUNF]
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2024-12-7 - Published data of Shen et al.
沈路路, 2024, "同时发表的论文: Large roles of renewable energy droughts in driving future extreme air pollution events", https://doi.org/10.18170/DVN/D1Z1JS, 北京大学开放研究数据平台, V1, UNF:6:evXgTxjWtW7kC5dBJToL0A== [fileUNF]
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2024-9-10 - DECODE辐合线和强对流影像素材
刘屹靖, 2024, "DECODE试验纪录片", https://doi.org/10.18170/DVN/HUUM3M, 北京大学开放研究数据平台, V3
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2024-8-27 - 导航卫星遥感陆地水文科学数据共享
万玮; 张洁; 梁宏, 2024, "中国北方GNSS气象观测业务站网积雪深度数据集", https://doi.org/10.18170/DVN/DTUZUB, 北京大学开放研究数据平台, V3, UNF:6:ctOUUR4E8YaWNhguMePJGA== [fileUNF]
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2024-8-5 - Published data of Zhong
钟慧茹, 2024, "同时发表的论文: Quantifying methane emission baselines and mitigation potential with high-resolution satellite data to support China’s 2023 Action Plan", https://doi.org/10.18170/DVN/AT3ZBD, 北京大学开放研究数据平台, V1, UNF:6:Vx19NyaEk3uOdNgTd+5Ntg== [fileUNF]
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