MetaCOVID
亚利桑那州立大学DMML实验室维护的COVID-19多来源数据集仓库,涵盖学术、新闻和社交媒体数据。
基本信息
模态
多模态
创建/更新时间
2023-04-09
资源简介
MetaCOVID是由亚利桑那州立大学DMML实验室维护的COVID-19相关数据集仓库,包含学术论文、新闻文章和社交媒体资源等多种模态的数据,用于支持COVID-19研究。
下载信息
注册下载
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暂未开放千方医数集,医疗数据集部分,是为社区服务的公开医疗数据集搜索引擎,并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求,可以和客服联系,或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/bigheiniu/awesome-coronavirus19-dataset.git
curl -L -o repo.zip https://github.com/bigheiniu/awesome-coronavirus19-dataset/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
MetaCOVID
This repository contains resources related to COVID-19. This data repository is maintained by DMML lab at Arizona State University.
Academics
Pre-print
- covid-19-social-science-research:This resource is designed to help us track new social research about COVID 19, including published findings, pre-prints, projects underway, and projects that are at least at a solid proposal stage.
- CORD-19: CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses.
Published
- LitCovid: a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.
News
Fact Checked
- nCovMemory-en: This is a repository dedicated to the English translations of the relevant news reports on the 2019-nCoV outbreak and the resulting epidemic of the Novel Coronavirus Pneumonia (NCP) in China.
- PoliticalFact fact checked: PolitiFact has fact-checked a lot of popular social media posts about the virus, including fake coronavirus cures, false news reports and conspiracy theories about the spread.
- Coronavirus Misinformation Tracking Center: All the news and information sites in the U.S., the U.K., France, Italy, and Germany that published materially false information about the virus found by NewsGuard .
- Malicious URLs: These URLs are malicious urls checked by NewsGuard.
- COVID-19 coronavirus news articles: Database of archived COVID-19 coronavirus news articles. The articles are archived on archive.org and archive.today servers. Be patient!
- COVID-19 Television Coverage Dataset: A New Dataset For Expl
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