This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).
The Chemical Abstracts Service COVID-19 Bioindicator Explorer identifies correlations between drug-like substances with potential antiviral activity and COVID-19 protein targets. These connections are made using data analyzed by CAS scientists from our comprehensive journal and patent collection.
"For researchers, early knowledge and access to research being carried out and published is critical. In order to facilitate this, we are able to free people from the constraints of specific applications and platforms by providing all relevant content on COVID-19 in Dimensions as a single export file, updated daily, to make sharing and distributing this research information easier."
"The file contains the details of (and links to) all relevant publications, data sets and clinical trials." See links in the announcement above.
"The Lens has assembled free and open datasets of patent documents, scholarly research works metadata and biological sequences from patents, and deposited them in a machine-readable and explorable form."
The N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs and the National Center for Data to Health (CD2H) (link is external), with overall stewardship by NCATS. Collaborators will contribute and use COVID-19 clinical data to answer critical research questions to address the pandemic.
Series of data files, released by NY Times, with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. Time series data compiled from state and local governments and health departments. The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. Regularly updated.
In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.
Provides access to recent and relevant statistics and studies from market researchers, trade organizations, scientific publications, and U.S. and international government sources. Topics include business, finance, education, media, politics, society, environment, technology and more. Ready-made tables, graphs, and charts are downloadable in PDF, XLS, PNG, or PPT.