Our World in Data 2023_Marco Vlajnic_Accuracy and Performance of Machine Learning Methodologies
收藏DataCite Commons2023-07-16 更新2025-04-16 收录
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https://ieee-dataport.org/documents/our-world-data-2023marco-vlajnicaccuracy-and-performance-machine-learning-methodologies
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资源简介:
This dataset is a subset from the Oxford University Our World in Data Covid 19 Dataset. This dataset contains data points collected on an ongoing basis from Johns Hopkins University, Center for Systems Science and Engineering COVID-19 data, OXFORD COVID-19 Government Response Tracker, and European Centre for Disease Control, from January 2020 to present. The original dataset contains data from 207 countries and territories from which 26 countries were selected in this dataset: United States, Canada, Finland, Iceland, Denmark, Belgium, Sweden, United Kingdom, Czechia, Slovakia, Switzerland, Slovenia, Austria, Italy, Ireland, Portugal, France, Netherlands, Luxembourg, Spain, Serbia, Bulgaria, Romania, Latvia, Cyprus, and Estonia. This data was accessed and downloaded on Dec 30, 2022, and it included data from January 1, 2020, to December 30, 2022.
本数据集是牛津大学《我们的世界在数据》(Our World in Data)新冠疫情数据集的子集。本数据集的数据来源于约翰斯·霍普金斯大学系统科学与工程中心(Center for Systems Science and Engineering)新冠疫情数据库、牛津大学新冠政府应对追踪项目(OXFORD COVID-19 Government Response Tracker)以及欧洲疾病预防控制中心(European Centre for Disease Control),相关数据的持续采集周期为2020年1月至今。该原始数据集涵盖全球207个国家与地区,本数据集从中选取了26个国家,分别为:美国、加拿大、芬兰、冰岛、丹麦、比利时、瑞典、英国、捷克(Czechia)、斯洛伐克、瑞士、斯洛文尼亚、奥地利、意大利、爱尔兰、葡萄牙、法国、荷兰、卢森堡、西班牙、塞尔维亚、保加利亚、罗马尼亚、拉脱维亚、塞浦路斯以及爱沙尼亚。本数据集于2022年12月30日完成获取与下载,其涵盖的数据时段为2020年1月1日至2022年12月30日。
提供机构:
IEEE DataPort
创建时间:
2023-07-16



