Artificial Intelligence and the Fight Against COVID-19 Mateos-GarciaJuan KlingerJoel StathoulopoulosKonstantinos 2020 Datasets analysed in a paper mapping AI research activity against COVID-19. Includes:<div><br></div><div><b>-rxiv metadata:</b> A dataset with metadata about 1.8m papers from arXiv, biorXiv and medrXiv as of end May 2020 enriched with dummies about whether the papers are related to AI and/or COVID-19 research (<i>updated 22/06/2020 to fix some ids)</i><br></div><div><br></div><div><b>-rxi_geo:</b> A dataset with geographical metadata for papers based on the institutional affiliations of their authors after matching with the GRID database.</div><div><br></div><div><b>-covid_semantic:</b> A dataset with topic information about COVID-19 papers based on a semantic analysis of their abstracts, including the clusters where papers have been classified and their topic mixes (<i>updated 22/06/2020 to fix some ids).</i></div><div><br></div><div><b>-citation_metadata:</b> Two JSON objects. One contains a lookup between COVID-19 related papers in the rXiv corpus and the papers they cite. Another contains metadata about the cited papers including their fields of study.</div><div><br></div><div><b>-mag_fos: </b>A dataset with the Microsoft Academic Graph field of study hierarchy we use in our analysis (added 22 June 2020)</div><div><br></div><div>Each zipped folder includes a data dictionary.</div><div><br></div><div>For information about data processing and analysis in: <a href="https://github.com/nestauk/ai_covid_19">https://github.com/nestauk/ai_covid_19</a></div>