COVID-19疫情时空数据集拟提供从2019年12月31日至疫情结束期间的全球多尺度新型冠状病毒（COVID-19）疫情的时空数据，旨在为广大科研工作者提供权威的、开放的和多尺度的COVID-19疫情信息，有助于服务全球科学家为本次疫情建言献策。
　　该数据集包括三个尺度，即全球尺度、全国（省级）尺度和全国（地级市）尺度的统计数据。每个尺度下的统计数据包含六个文本文件，即新增确诊病例、新增治愈病例、新增死亡病例、总确诊病例、总治愈病例和总死亡病例。

　　COVID-19全球疫情数据（**以外）来源于人民网（**十大权威互联网平台之一）。COVID-19**（省和地级市）疫情数据来源于国家、省和自治区的卫生与健康委员会（简称卫健委）。该数据集拟每周更新。

　　鲍君雅，**地质大学（武汉）地理与信息工程学院研究生
　　林浩，**地质大学（武汉）地理与信息工程学院研究生
　　周琪，**地质大学（武汉）地理与信息工程学院副教授

　　鲍君雅
　　邮箱：[email protected]

　　The COVID-19 Epidemic Spatio-Temporal Dataset intends to provide a multi-scale dataset of the novel coronavirus (COVID-19) epidemic data from December 31, 2019 to the end of the epidemic around the global. This dataset aims at providing authoritative, open and multi-scale COVID-19 epidemic information to scientists worldwide for providing suggestions for the epidemic.
　　The COVID-19 epidemic dataset includes statistical data at three scales: global, provincial (only available for China), and prefectural (only China). Statistical data at each scale contains six text files, i.e. new confirmed cases, new recovered cases, new death cases, total confirmed cases, total recovered cases, and total death cases.

　　COVID-19 global epidemic data (outside of China) comes from People's Daily (one of Chinese top ten authoritative Internet platforms). COVID-19 Chinese epidemic data at provincial and prefecture-level cities are gathered from the National, Provincial and Autonomous Region's Health Commission (short as the Health Commission). This dataset is planned to be weekly updated.

　　Junya Bao, Graduate student, School of Geography and Information Engineering, China University of Geosciences (Wuhan)
　　Hao Lin, Graduate student, School of Geography and Information Engineering, China University of Geosciences (Wuhan)
　　Qi Zhou, Associate Professor, School of Geography and Information Engineering, China University of Geosciences (Wuhan)

　　Junya Bao
　　Email address：[email protected]