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收藏DataONE2022-03-23 更新2024-06-08 收录
下载链接：
https://search.dataone.org/view/sha256:639cb41fe570b956794d3f971716100ed45db06117b98b5ed6059ff8f78de245
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链接失效反馈资源简介：
Link to OCHRE database: http://pi.lib.uchicago.edu/1001/org/ochre/d1d8e0b5-80f3-162d-0db5-c24319172fbc
创建时间：
2023-11-12
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全国 1∶200 000 数字地质图（公开版）空间数据库
As the only one of its kind, China National Digital Geological Map (Public Version at 1∶200 000 scale) Spatial Database (CNDGM-PVSD) is based on China' s former nationwide measured results of regional geological survey at 1∶200 000 scale, and is also one of the nationwide basic geosciences spatial databases jointly accomplished by multiple organizations of China. Spatially, it embraces 1 163 geological map-sheets (at scale 1: 200 000) in both formats of MapGIS and ArcGIS, covering 72% of China's whole territory with a total data volume of 90 GB. Its main sources is from 1∶200 000 regional geological survey reports, geological maps, and mineral resources maps with an original time span from mid-1950s to early 1990s. Approved by the State's related agencies, it meets all the related technical qualification requirements and standards issued by China Geological Survey in data integrity, logic consistency, location acc racy, attribution fineness, and collation precision, and is hence of excellent and reliable quality. The CNDGM-PVSD is an important component of China' s national spatial database categories, serving as a spatial digital platform for the information construction of the State's national economy, and providing informationbackbones to the national and provincial economic planning, geohazard monitoring, geological survey, mineral resources exploration as well as macro decision-making.
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MultiTalk
MultiTalk数据集是由韩国科学技术院创建，包含超过420小时的2D视频，涵盖20种不同语言，旨在解决多语言环境下3D说话头生成的问题。该数据集通过自动化管道从YouTube收集，每段视频都配有语言标签和伪转录，部分视频还包含伪3D网格顶点。数据集的创建过程包括视频收集、主动说话者验证和正面人脸验证，确保数据质量。MultiTalk数据集的应用领域主要集中在提升多语言3D说话头生成的准确性和表现力，通过引入语言特定风格嵌入，使模型能够捕捉每种语言独特的嘴部运动。
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HIT-UAV数据集包含2898张红外热成像图像，这些图像从43,470帧无人机拍摄的画面中提取。数据集涵盖了多种场景，如学校、停车场、道路和游乐场，在不同的光照条件下，包括白天和夜晚。
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MultiResSAR
MultiResSAR数据集是由武汉大学构建并发布的，包含超过10k对多源、多分辨率、多场景的SAR和光学遥感图像。该数据集旨在为多分辨率SAR与光学遥感图像配准研究提供基准数据，以评估和比较不同配准算法的性能。数据集涵盖了从低分辨率到高分辨率的图像，能够帮助研究者更好地理解和克服高分辨率图像配准中的挑战，如噪声抑制、三维几何信息的融合、跨视角几何变换建模以及深度学习模型的优化等。
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poi
本项目收集国内POI兴趣点，当前版本数据来自于openstreetmap。
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