Arthrobacter sp.|微生物学数据集|分子生物学数据集
收藏Yahoo Finance
Dataset About finance related to stock market
kaggle 收录
MedDialog
MedDialog数据集(中文)包含了医生和患者之间的对话(中文)。它有110万个对话和400万个话语。数据还在不断增长,会有更多的对话加入。原始对话来自好大夫网。
github 收录
China Health and Nutrition Survey (CHNS)
China Health and Nutrition Survey(CHNS)是一项由美国北卡罗来纳大学人口中心与中国疾病预防控制中心营养与健康所合作开展的长期开放性队列研究项目,旨在评估国家和地方政府的健康、营养与家庭计划政策对人群健康和营养状况的影响,以及社会经济转型对居民健康行为和健康结果的作用。该调查覆盖中国15个省份和直辖市的约7200户家庭、超过30000名个体,采用多阶段随机抽样方法,收集了家庭、个体以及社区层面的详细数据,包括饮食、健康、经济和社会因素等信息。自2011年起,CHNS不断扩展,新增多个城市和省份,并持续完善纵向数据链接,为研究中国社会经济变化与健康营养的动态关系提供了重要的数据支持。
www.cpc.unc.edu 收录
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.
DataCite Commons 收录
DAT
DAT是一个统一的跨场景跨领域基准,用于开放世界无人机主动跟踪。它提供了24个视觉复杂的场景,以评估算法的跨场景和跨领域泛化能力,并具有高保真度的现实机器人动力学建模。
github 收录