Polymath Wiki - User contributions [en]

The Erdos-Rado sunflower lemma

2020-07-29T21:26:01Z

Teorth: /* Small values */

== The problem ==

A sunflower (a.k.a. Delta-system) of size <math>r</math> is a family of sets <math>A_1, A_2, \dots, A_r</math> such that every element that belongs to more than one of the sets belongs to all of them. A basic and simple result of Erdos and Rado asserts that

:Erdos-Rado Delta-system theorem: There is a function <math>f(k,r)</math> so that every family <math>\cal F</math> of <math>k</math>-sets with more than <math>f(k,r)</math> members contains a sunflower of size <math>r</math>.

(We denote by <math>f(k,r)</math> the smallest integer that suffices for the assertion of the theorem to be true.) The simple proof giving <math>f(k,r)\le k! (r-1)^k</math> can be found [https://gilkalai.wordpress.com/2008/09/28/extremal-combinatorics-iii-some-basic-theorems/ here].

The best known general upper bound on <math>f(k,r)</math> (in the regime where <math>r</math> is bounded and <math>k</math> is large) is

:<math>\displaystyle f(k,r) \leq D(r,\alpha) k! \left( \frac{(\log\log\log k)^2}{\alpha \log\log k} \right)^k</math>

for any <math>\alpha < 1</math>, and some <math>D(r,\alpha)</math> depending on <math>r,\alpha</math>, proven by Kostkocha from 1996. The objective of this project is to improve this bound, ideally to obtain the Erdos-Rado conjecture

:<math>\displaystyle f(k,r) \leq C^k </math>

for some <math>C=C(r)</math> depending on <math>r</math> only. This is known for <math>r=1,2</math>(indeed we have <math>f(k,r)=1</math> in those cases) but remains open for larger r.

== Variants and notation ==

Given a family <math>\cal F</math> of sets and a set S, the star of S is the subfamily of those sets in <math>\cal F</math> containing S, and the link of S is obtained from the star of S by deleting the elements of S from every set in the star. (We use the terms link and star because we do want to consider eventually hypergraphs as geometric/topological objects.)

We can restate the delta system problem as follows: f(k,r) is the maximum size of a family of k-sets such that the link of every set A does not contain r pairwise disjoint sets.

Let f(k,r;m,n) denote the largest cardinality of a family of k-sets from {1,2,…,n} such that that the link of every set A of size at most m-1 does not contain r pairwise disjoint sets. Thus f(k,r) = f(k,r;k,n) for n large enough.

:Conjecture 1: <math>f(k,r;m,n) \leq C_r^k n^{k-m}</math> for some <math>C_r</math> depending only on r.

This conjecture implies the Erdos-Ko-Rado conjecture (set m=k). The [https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93Ko%E2%80%93Rado_theorem Erdos-Ko-Rado theorem] asserts that

:<math>f(k,2;1,n) = \binom{n-1}{k-1}</math> (1)

when <math>n \geq 2k</math>, which is consistent with Conjecture 1. More generally, Erdos, Ko, and Rado showed

:<math>f(k,2;m,n) = \binom{n-m}{k-m}</math>

when <math>n</math> is sufficiently large depending on k,m. The case of smaller n was treated by several authors culminating in the work of [https://www.math.uni-bielefeld.de/ahlswede/homepage/public/114.pdf Ahlswede and Khachatrian].

Erdos conjectured that

:<math>f(k,r;1,n) = \max( \binom{rk-1}{k}, \binom{n}{k} - \binom{n-r}{k} )</math>

for <math>n \geq rk</math>, generalising (1), and again consistent with Conjecture 1. This was established for k=2 by Erdos and Gallai, and for r=3 by Frankl (building on work by [http://arxiv.org/abs/1202.4196 Luczak-Mieczkowska]).

A family of k-sets is balanced (or k-colored) if it is possible to color the elements with k colors so that every set in the family is colorful.

Reduction (folklore): It is enough to prove Erdos-Rado Delta-system conjecture for the balanced case.

Proof: Divide the elements into d color classes at random and take only colorful sets. The expected size of the surviving colorful sets is <math>k!/k^k \cdot |\cal F|</math>.

Hyperoptimistic conjecture: The maximum size of a balanced collection of k-sets without a sunflower of size r is (r-1)^k.

Disproven for <math>k=3,r=3</math>: set <math>|V_1|=|V_2|=|V_3|=3</math> and use ijk to denote the 3-set consisting of the i^th element of V_1, j^th element of V_2, and k^th element of V_3. Then 000, 001, 010, 011, 100, 101, 112, 122, 212 is a balanced family of 9 3-sets without a 3-sunflower.

A ''weak sunflower'' (''weak Delta-system'') of size <math>r</math> is a family of <math>r</math> sets, <math> A_1,\ldots,A_r</math>, such that their pairwise intersections have the same size, i.e., <math> |A_i\cap A_j|=|A_{i'}\cap A_{j'}|</math> for every <math> i\ne j</math> and <math> i'\ne j'</math>. If we denote the size of the largest family of <math>k</math>-sets without an <math>r</math>-weak sunflower by <math>g(k,r)</math>, by definition we have <math>g(k,r)\le f(k,r)</math>. For this function we also know that <math> g(a+b,r)\ge g(a,r)g(b,r)</math>, as shown by Abbott-Hanson in On finite Δ-systems II.

Also, if we denote by <math>R_r(k)-1</math> the size of the largest complete graph whose edges can be colored with <math>r</math> colors such that there is no monochromatic clique on <math>k</math> vertices, then we have <math>g(k,r)\le R_r(k)-1</math>, as we can color the edges running between the <math>k</math>-sets of our weak sunflower-free family with the intersection sizes. For all three functions only exponential lower bounds and factorial type upper bounds are known.

Denote by <math>3DES(n)</math> the largest integer such that there is a group of size <math>n</math> and a subset <math>S</math> of size <math>3DES(n)</math> without three ''disjoint equivoluminous subsets'', i.e., there is no <math>S=S_1\cup^* S_2\cup^* S_3\cup^* S_{rest}</math> such that <math>\sum_{s\in S_1} s=\sum_{s\in S_2} s=\sum_{s\in S_3} s</math>. As noticed by Alon-Shpilka-Umans, <math>{3DES(n) \choose DES(n)} / n \le g(DES(n),3)</math> holds, thus if <math>g(k,3)</math> grows exponentially, then <math>3DES(n)=O(\log n)</math>.

== Small values ==

Below is a collection of known constructions for small values, taken from Abbott-Exoo.
Boldface stands for matching upper bound (and best known upper bounds are planned to be added to other entries).
Also note that for <math>k</math> fixed we have <math>f(k,r)=r^k+o(r^k)</math> from Kostochka-Rödl-Talysheva (note that that paper swaps the notation for k and r).

{| class="wikitable"
! style="font-weight: bold; font-style: italic;" | r\k
! style="text-align: center; font-weight: normal; font-style: italic;" | 2
! style="text-align: center; font-weight: normal; font-style: italic;" | 3
! style="text-align: center; font-weight: normal; font-style: italic;" | 4
! style="text-align: center; font-weight: normal; font-style: italic;" | 5
! style="text-align: center; font-weight: normal; font-style: italic;" | 6
! style="text-align: center; font-weight: normal; font-style: italic;" | ...k
|-
| style="text-align: center; font-style: italic;" | 3
| style="text-align: right; font-weight: bold;" | 6
| style="text-align: right; font-weight: bold;" | 20
| style="text-align: right;" | 54-
| style="text-align: right;" | 160-
| style="text-align: right;" | 600-
| style="text-align: center;" | ~3.16^k
|-
| style="text-align: center; font-style: italic;" | 4
| style="text-align: right; font-weight: bold;" | 10
| style="text-align: right;" | 38-
| style="text-align: right;" | 114-
| style="text-align: right;" | 380-
| style="text-align: right;" | 1444-
| style="text-align: center;" | ~3.36^k
|-
| style="text-align: center; font-style: italic;" | 5
| style="text-align: right; font-weight: bold;" | 20
| style="text-align: right;" | 88-
| style="text-align: right;" | 400-
| style="text-align: right;" | 1760-
| style="text-align: right;" | 8000-
| style="text-align: center;" | ~4.24^k
|-
| style="text-align: center; font-style: italic;" | 6
| style="text-align: right; font-weight: bold;" | 27
| style="text-align: right;" | 146-
| style="text-align: right;" | 730-
| style="text-align: right;" | 3942-
| style="text-align: right;" | 21316-
| style="text-align: center;" | ~5.26^k
|}

== Threads ==

* [https://gilkalai.wordpress.com/2015/11/03/polymath10-the-erdos-rado-delta-system-conjecture Polymath10: The Erdos Rado Delta System Conjecture], Gil Kalai, Nov 2, 2015. Inactive
* [https://gilkalai.wordpress.com/2015/11/11/polymath10-post-2-homological-approach/ Polymath10, Post 2: Homological Approach], Gil Kalai, Nov 10, 2015. Inactive
* [https://gilkalai.wordpress.com/2015/12/08/polymath-10-post-3-how-are-we-doing/ Polymath 10 Post 3: How are we doing?], Gil Kalai, Dec 8, 2015. Inactive
* [https://gilkalai.wordpress.com/2016/01/31/polymath10-post-4-back-to-the-drawing-board/ Polymath10-post 4: Back to the drawing board?], Gil Kalai, Jan 31, 2016. Active

== External links ==

* [https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93Ko%E2%80%93Rado_theorem Erdos-Ko-Rado theorem] (Wikipedia article)
* [https://en.wikipedia.org/wiki/Sunflower_(mathematics) Sunflower (mathematics)] (Wikipedia article)
* [http://mathoverflow.net/questions/163689/what-is-the-best-lower-bound-for-3-sunflowers What is the best lower bound for 3-sunflowers?] (Mathoverflow)

== Bibliography ==

Edits to improve the bibliography (by adding more links, Mathscinet numbers, bibliographic info, etc.) are welcome!

* [http://anothersample.net/on-set-systems-not-containing-delta-systems On set systems not containing delta systems], H. L. Abbott and G. Exoo, Graphs and Combinatorics 8 (1992), 1–9.
* [http://www.sciencedirect.com/science/article/pii/0012365X74901034 On finite Δ-systems], H. L. Abbott and D. Hanson, Discrete Math. 8 (1974), 1-12.
* [http://www.sciencedirect.com/science/article/pii/0012365X7790139X On finite Δ-systems II], H. L. Abbott and D. Hanson, Discrete Math. 17 (1977), 121-126.
* [http://www.sciencedirect.com/science/article/pii/0097316572901033 Intersection theorems for systems of sets], H. L. Abbott, D. Hanson, and N. Sauer, J. Comb. Th. Ser. A 12 (1972), 381–389.
* [http://arxiv.org/abs/1511.02888 Hodge theory for combinatorial geometries], Karim Adiprasito, June Huh, and Erick Katz
* [https://www.math.uni-bielefeld.de/ahlswede/homepage/public/114.pdf The Complete Nontrivial-Intersection Theorem for Systems of Finite Sets], R. Ahlswede, L. Khachatrian, Journal of Combinatorial Theory, Series A 76, 121-138 (1996).
* [http://users.cms.caltech.edu/~umans/papers/ASU11-final.pdf On Sunflowers and Matrix Multiplication], N. Alon, A. Shpilka, C. Umans, Computational Complexity 22 (2013), 219-243.
* [http://www.sciencedirect.com/science/article/pii/0012365X9400185L On set systems without weak 3-Δ-subsystems], M. Axenovich, D. Fon-Der-Flaassb, A. Kostochka, Discrete Math. 138 (1995), 57-62.
* [http://www.renyi.hu/~p_erdos/1961-07.pdf Intersection theorems for systems of finite sets], P. Erdős, C. Ko, R. Rado, The Quarterly Journal of Mathematics. Oxford. Second Series 12 (1961), 313–320.
* [http://renyi.hu/~p_erdos/1960-04.pdf Intersection theorems for systems of sets], P. Erdős, R. Rado, Journal of the London Mathematical Society, Second Series 35 (1960), 85–90.
* [http://arxiv.org/abs/1205.6847 On the Maximum Number of Edges in a Hypergraph with Given Matching Number], P. Frankl
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.300.1783&rep=rep1&type=pdf An intersection theorem for systems of sets], A. V. Kostochka, Random Structures and Algorithms, 9 (1996), 213-221.
* [http://www.math.uiuc.edu/~kostochk/docs/2000/survey3.pdf Extremal problems on Δ-systems], A. V. Kostochka
* On Systems of Small Sets with No Large Δ-Subsystems, A. V. Kostochka, V. Rödl, and L. A. Talysheva, Comb. Probab. Comput. 8 (1999), 265-268.
* [http://arxiv.org/abs/1202.4196 On Erdos' extremal problem on matchings in hypergraphs], T. Luczak, K. Mieczkowska
* Intersection theorems for systems of sets, J. H. Spencer, Canad. Math. Bull. 20 (1977), 249-254.

COVID-19 dataset clearinghouse

2020-04-27T03:03:10Z

Teorth: /* North America */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://covid19tracker.health.ny.gov/ COVID-19 Tracker], New York State Department of Health
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health
* [https://github.com/reichlab/covid19-forecast-hub Projections of COVID-19, in standardized format], The Reich Lab at UMass-Amherst

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.kaggle.com/headsortails/covid19-tracking-germany COVID-19 Tracking Germany], Heads or Tails
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://hira-covid19.net/ #OpenData4Covid19], Ministry of Health and Welfare of Korea and Health Insurance Review and Assessment Service of Korea
** Medical history of COVID19 patients based on their insurance claims of the last five years.
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Experts ===

* [https://www.science.org.au/covid19/experts COVID-19 Expert Database], Australian Academy of Science
** A mechanism for governments, the business sector, the research sector, and other decision-makers to easily access the expertise they need to inform their decision making.

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

De Bruijn-Newman constant

2020-04-22T20:37:45Z

Teorth: /* Writeup */

For each real number <math>t</math>, define the entire function <math>H_t: {\mathbf C} \to {\mathbf C}</math> by the formula

:<math>\displaystyle H_t(z) := \int_0^\infty e^{tu^2} \Phi(u) \cos(zu)\ du</math>

where <math>\Phi</math> is the super-exponentially decaying function

:<math>\displaystyle \Phi(u) := \sum_{n=1}^\infty (2\pi^2 n^4 e^{9u} - 3 \pi n^2 e^{5u}) \exp(-\pi n^2 e^{4u}).</math>

It is known that <math>\Phi</math> is even, and that <math>H_t</math> is even, real on the real axis, and obeys the functional equation <math>H_t(\overline{z}) = \overline{H_t(z)}</math>. In particular, the zeroes of <math>H_t</math> are symmetric about both the real and imaginary axes. One can also express <math>H_t</math> in a number of different forms, such as

:<math>\displaystyle H_t(z) = \frac{1}{2} \int_{\bf R} e^{tu^2} \Phi(u) e^{izu}\ du</math>

or

:<math>\displaystyle H_t(z) = \frac{1}{2} \int_0^\infty e^{t\log^2 x} \Phi(\log x) e^{iz \log x}\ \frac{dx}{x}.</math>

In the notation of [KKL2009], one has

:<math>\displaystyle H_t(z) = \frac{1}{8} \Xi_{t/4}(z/2).</math>

De Bruijn [B1950] and Newman [N1976] showed that there existed a constant, the ''de Bruijn-Newman constant'' <math>\Lambda</math>, such that <math>H_t</math> has all zeroes real precisely when <math>t \geq \Lambda</math>. The Riemann hypothesis is equivalent to the claim that <math>\Lambda \leq 0</math>. Currently it is known that <math>0 \leq \Lambda < 1/2</math> (lower bound in [RT2018], upper bound in [KKL2009]).

The '''Polymath15''' project seeks to improve the upper bound on <math>\Lambda</math>. The current strategy is to combine the following three ingredients:

# Numerical zero-free regions for <math>H_t(x+iy)</math> of the form <math>\{ x+iy: 0 \leq x \leq T; y \geq \varepsilon \}</math> for explicit <math>T, \varepsilon, t > 0</math>.
# Rigorous asymptotics that show that <math>H_t(x+iy)</math> whenever <math>y \geq \varepsilon</math> and <math>x \geq T</math> for a sufficiently large <math>T</math>.
# Dynamics of zeroes results that control <math>\Lambda</math> in terms of the maximum imaginary part of a zero of <math>H_t</math>.

== <math>t=0</math> ==

When <math>t=0</math>, one has

:<math>\displaystyle H_0(z) = \frac{1}{8} \xi( \frac{1}{2} + \frac{iz}{2} ) </math>

where

:<math>\displaystyle \xi(s) := \frac{s(s-1)}{2} \pi^{-s/2} \Gamma(s/2) \zeta(s)</math>

is the Riemann xi function. In particular, <math>z</math> is a zero of <math>H_0</math> if and only if <math>\frac{1}{2} + \frac{iz}{2}</math> is a non-trivial zero of the Riemann zeta function. Thus, for instance, the Riemann hypothesis is equivalent to all the zeroes of <math>H_0</math> being real, and [https://en.wikipedia.org/wiki/Riemann%E2%80%93von_Mangoldt_formula Riemann-von Mangoldt formula] (in the explicit form given by Backlund) gives

:<math>\displaystyle \left|N_0(T) - (\frac{T}{4\pi} \log \frac{T}{4\pi} - \frac{T}{4\pi} - \frac{7}{8})\right| < 0.137 \log (T/2) + 0.443 \log\log(T/2) + 4.350 </math>

for any <math>T > 4</math>, where <math>N_0(T)</math> denotes the number of zeroes of <math>H_0</math> with real part between 0 and T.

The first <math>10^{13}</math> zeroes of <math>H_0</math> (to the right of the origin) are real [G2004]. This numerical computation uses the Odlyzko-Schonhage algorithm. In [P2017] it was independently verified that all zeroes of <math>H_0</math> between 0 and 61,220,092,000 were real.

== <math>t>0</math> ==

For any <math>t>0</math>, it is known that all but finitely many of the zeroes of <math>H_t</math> are real and simple [KKL2009, Theorem 1.3]. In fact, assuming the Riemann hypothesis, ''all'' of the zeroes of <math>H_t</math> are real and simple [CSV1994, Corollary 2].

It is known that <math>\xi</math> is an entire function of order one ([T1986, Theorem 2.12]). Hence by the fundamental solution for the heat equation, the <math>H_t</math> are also entire functions of order one for any <math>t</math>.

Because <math>\Phi</math> is positive, <math>H_t(iy)</math> is positive for any <math>y</math>, and hence there are no zeroes on the imaginary axis.

Let <math>\sigma_{max}(t)</math> denote the largest imaginary part of a zero of <math>H_t</math>, thus <math>\sigma_{max}(t)=0</math> if and only if <math>t \geq \Lambda</math>. It is known that the quantity <math>\frac{1}{2} \sigma_{max}(t)^2 + t</math> is non-increasing in time whenever <math>\sigma_{max}(t)>0</math> (see [KKL2009, Proposition A]. In particular we have

:<math>\displaystyle \Lambda \leq t + \frac{1}{2} \sigma_{max}(t)^2</math>

for any <math>t</math>.

The zeroes <math>z_j(t)</math> of <math>H_t</math> obey the system of ODE

:<math>\partial_t z_j(t) = - \sum_{k \neq j} \frac{2}{z_k(t) - z_j(t)}</math>

where the sum is interpreted in a principal value sense, and excluding those times in which <math>z_j(t)</math> is a repeated zero. See [[dynamics of zeros]] for more details. Writing <math>z_j(t) = x_j(t) + i y_j(t)</math>, we can write the dynamics as

:<math> \partial_t x_j = - \sum_{k \neq j} \frac{2 (x_k - x_j)}{(x_k-x_j)^2 + (y_k-y_j)^2} </math>
:<math> \partial_t y_j = \sum_{k \neq j} \frac{2 (y_k - y_j)}{(x_k-x_j)^2 + (y_k-y_j)^2} </math>

where the dependence on <math>t</math> has been omitted for brevity.

In [KKL2009, Theorem 1.4], it is shown that for any fixed <math>t>0</math>, the number <math>N_t(T)</math> of zeroes of <math>H_t</math> with real part between 0 and T obeys the asymptotic

:<math>N_t(T) = \frac{T}{4\pi} \log \frac{T}{4\pi} - \frac{T}{4\pi} + \frac{t}{16} \log T + O(1) </math>

as <math>T \to \infty</math> (caution: the error term here is not uniform in t). Also, the zeroes behave like an arithmetic progression in the sense that

:<math> z_{k+1}(t) - z_k(t) = (1+o(1)) \frac{4\pi}{\log |z_k|(t)} = (1+o(1)) \frac{4\pi}{\log k} </math>

as <math>k \to +\infty</math>.

See [[asymptotics of H_t]] for asymptotics of the function <math>H_t</math>, and [[Effective bounds on H_t]] and [[Effective bounds on H_t - second approach]] for explicit bounds.

== Threads ==

* [https://terrytao.wordpress.com/2018/01/24/polymath-proposal-upper-bounding-the-de-bruijn-newman-constant/ Polymath proposal: upper bounding the de Bruijn-Newman constant], Terence Tao, Jan 24, 2018.
* [https://terrytao.wordpress.com/2018/01/27/polymath15-first-thread-computing-h_t-asymptotics-and-dynamics-of-zeroes/ Polymath15, first thread: computing H_t, asymptotics, and dynamics of zeroes], Terence Tao, Jan 27, 2018.
* [https://terrytao.wordpress.com/2018/02/02/polymath15-second-thread-generalising-the-riemann-siegel-approximate-functional-equation/ Polymath15, second thread: generalising the Riemann-Siegel approximate functional equation], Terence Tao and Sujit Nair, Feb 2, 2018.
* [https://terrytao.wordpress.com/2018/02/12/polymath15-third-thread-computing-and-approximating-h_t/ Polymath15, third thread: computing and approximating H_t], Terence Tao and Sujit Nair, Feb 12, 2018.
* [https://terrytao.wordpress.com/2018/02/24/polymath15-fourth-thread-closing-in-on-the-test-problem/ Polymath 15, fourth thread: closing in on the test problem], Terence Tao, Feb 24, 2018.
* [https://terrytao.wordpress.com/2018/03/02/polymath15-fifth-thread-finishing-off-the-test-problem/ Polymath15, fifth thread: finishing off the test problem?], Terence Tao, Mar 2, 2018.
* [https://terrytao.wordpress.com/2018/03/18/polymath15-sixth-thread-the-test-problem-and-beyond/ Polymath15, sixth thread: the test problem and beyond], Terence Tao, Mar 18, 2018.
* [https://terrytao.wordpress.com/2018/03/28/polymath15-seventh-thread-going-below-0-48/ Polymath15, seventh thread: going below 0.48], Terence Tao, Mar 28, 2018.
* [https://terrytao.wordpress.com/2018/04/17/polymath15-eighth-thread-going-below-0-28/ Polymath15, eighth thread: going below 0.28], Terence Tao, Apr 17, 2018.
* [https://terrytao.wordpress.com/2018/05/04/polymath15-ninth-thread-going-below-0-22/ Polymath15, ninth thread: going below 0.22?], Terence Tao, May 4, 2018.
* [https://terrytao.wordpress.com/10725 Polymath15, tenth thread: numerics update], Rudolph Dwars and Kalpesh Muchhal, Sep 6, 2018.
* [https://terrytao.wordpress.com/2018/12/28/polymath-15-eleventh-thread-writing-up-the-results-and-exploring-negative-t/ Polymath15, eleventh thread: Writing up the results, and exploring negative t], Terence Tao, Dec 28, 2018.
* [https://terrytao.wordpress.com/2019/04/30/11075/ Effective approximation of heat flow evolution of the Riemann xi function, and a new upper bound for the de Bruijn-Newman constant], Terence Tao, Apr 30, 2019.

== Other blog posts and online discussion ==

* [https://terrytao.wordpress.com/2017/10/17/heat-flow-and-zeroes-of-polynomials/ Heat flow and zeroes of polynomials], Terence Tao, Oct 17, 2017.
* [https://terrytao.wordpress.com/2018/01/19/the-de-bruijn-newman-constant-is-non-negativ/ The de Bruijn-Newman constant is non-negative], Terence Tao, Jan 19, 2018.
* [https://terrytao.wordpress.com/2018/01/20/lehmer-pairs-and-gue/ Lehmer pairs and GUE], Terence Tao, Jan 20, 2018.
* [https://polymathprojects.org/2018/01/26/a-new-polymath-proposal-related-to-the-riemann-hypothesis-over-taos-blog/ A new polymath proposal (related to the Riemann hypothesis) over Tao's blog], Gil Kalai, Jan 26, 2018.

== Code and data ==

* [https://github.com/km-git-acc/dbn_upper_bound Github repository]

== Writeup ==

* [https://github.com/km-git-acc/dbn_upper_bound/tree/master/Writeup Writeup subdirectory of Github repository]

Here are the [[Polymath15 grant acknowledgments]].

Polymath15 was able to establish the bound <math>\Lambda \leq 0.22</math>, but with the recent numerical verification of RH in https://arxiv.org/abs/2004.09765 this may be improved to <math>\Lambda \leq 0.20</math>.

== Test problem ==

See [[Polymath15 test problem]].

== Zero-free regions ==

See [[Zero-free regions]].

== Wikipedia and other references ==

* [https://en.wikipedia.org/wiki/De_Bruijn%E2%80%93Newman_constant de Bruijn-Newman constant]
* [https://en.wikipedia.org/wiki/Odlyzko%E2%80%93Sch%C3%B6nhage_algorithm Odlyzko–Schönhage algorithm]
* [https://en.wikipedia.org/wiki/Riemann%E2%80%93Siegel_formula Riemann–Siegel formula]
* [https://en.wikipedia.org/wiki/Riemann_Xi_function Riemann xi function]

== Bibliography ==

* [A2011] J. Arias de Reyna, [https://pdfs.semanticscholar.org/7964/fbdc0caeec0a41304deb8d2d8b2e2be639ee.pdf High-precision computation of Riemann's zeta function by the Riemann-Siegel asymptotic formula, I], Mathematics of Computation, Volume 80, Number 274, April 2011, Pages 995–1009.
* [B1994] W. G. C. Boyd, [http://www.jstor.org/stable/52450 Gamma Function Asymptotics by an Extension of the Method of Steepest Descents], Proceedings: Mathematical and Physical Sciences, Vol. 447, No. 1931 (Dec. 8, 1994),pp. 609-630.
* [B1950] N. C. de Bruijn, [https://pure.tue.nl/ws/files/1769368/597490.pdf The roots of trigonometric integrals], Duke J. Math. 17 (1950), 197–226.
* [CSV1994] G. Csordas, W. Smith, R. S. Varga, [https://link.springer.com/article/10.1007/BF01205170 Lehmer pairs of zeros, the de Bruijn-Newman constant Λ, and the Riemann hypothesis], Constr. Approx. 10 (1994), no. 1, 107–129.
* [G2004] Gourdon, Xavier (2004), [http://numbers.computation.free.fr/Constants/Miscellaneous/zetazeros1e13-1e24.pdf The <math>10^{13}</math> first zeros of the Riemann Zeta function, and zeros computation at very large height]
* [KKL2009] H. Ki, Y. O. Kim, and J. Lee, On the de Bruijn-Newman constant, Advances in Mathematics, 22 (2009), 281–306. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5595&rep=rep1&type=pdf Citeseer]
* [N1976] C. M. Newman, [http://www.ams.org/journals/proc/1976-061-02/S0002-9939-1976-0434982-5/S0002-9939-1976-0434982-5.pdf Fourier transforms with only real zeroes], Proc. Amer. Math. Soc. 61 (1976), 246–251.
* [P2017] D. J. Platt, [http://www.ams.org/journals/mcom/2017-86-307/S0025-5718-2017-03198-7/ Isolating some non-trivial zeros of zeta], Math. Comp. 86 (2017), 2449-2467.
* [P1992] G. Pugh, [https://web.viu.ca/pughg/thesis.d/masters.thesis.pdf The Riemann-Siegel formula and large scale computations of the Riemann zeta function], M.Sc. Thesis, U. British Columbia, 1992.
* [RT2018] B. Rodgers, T. Tao, The de Bruijn-Newman constant is non-negative, preprint. [https://arxiv.org/abs/1801.05914 arXiv:1801.05914]
* [T1986] E. C. Titchmarsh, The theory of the Riemann zeta-function. Second edition. Edited and with a preface by D. R. Heath-Brown. The Clarendon Press, Oxford University Press, New York, 1986. [http://plouffe.fr/simon/math/The%20Theory%20Of%20The%20Riemann%20Zeta-Function%20-Titshmarch.pdf pdf]

[[Category:Polymath15]]

COVID-19 dataset clearinghouse

2020-04-13T19:02:56Z

Teorth: /* Asia */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://covid19tracker.health.ny.gov/ COVID-19 Tracker], New York State Department of Health
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.kaggle.com/headsortails/covid19-tracking-germany COVID-19 Tracking Germany], Heads or Tails
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://hira-covid19.net/ #OpenData4Covid19], Ministry of Health and Welfare of Korea and Health Insurance Review and Assessment Service of Korea
** Medical history of COVID19 patients based on their insurance claims of the last five years.
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Experts ===

* [https://www.science.org.au/covid19/experts COVID-19 Expert Database], Australian Academy of Science
** A mechanism for governments, the business sector, the research sector, and other decision-makers to easily access the expertise they need to inform their decision making.

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

User talk:Teorth

2020-04-13T19:01:35Z

Teorth:

Hi Teorth! Where are you gathering all of your new links, for the covid repository? Since not everyone has an account here, is there somewhere else that people are sharing suggestions? [[User:Sj|Sj]] ([[User talk:Sj|talk]]) 15:41, 9 April 2020 (UTC) (who just got an account :)

* The main discussion page for this is my blog page https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/

User talk:Teorth

2020-04-13T19:01:29Z

Teorth:

Hi Teorth! Where are you gathering all of your new links, for the covid repository? Since not everyone has an account here, is there somewhere else that people are sharing suggestions? [[User:Sj|Sj]] ([[User talk:Sj|talk]]) 15:41, 9 April 2020 (UTC) (who just got an account :)

** The main discussion page for this is my blog page https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/

COVID-19 dataset clearinghouse

2020-04-07T15:39:23Z

Teorth: /* North America */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://covid19tracker.health.ny.gov/ COVID-19 Tracker], New York State Department of Health
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.kaggle.com/headsortails/covid19-tracking-germany COVID-19 Tracking Germany], Heads or Tails
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Experts ===

* [https://www.science.org.au/covid19/experts COVID-19 Expert Database], Australian Academy of Science
** A mechanism for governments, the business sector, the research sector, and other decision-makers to easily access the expertise they need to inform their decision making.

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-07T01:05:12Z

Teorth: /* Literature */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.kaggle.com/headsortails/covid19-tracking-germany COVID-19 Tracking Germany], Heads or Tails
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Experts ===

* [https://www.science.org.au/covid19/experts COVID-19 Expert Database], Australian Academy of Science
** A mechanism for governments, the business sector, the research sector, and other decision-makers to easily access the expertise they need to inform their decision making.

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:58:02Z

Teorth: /* Europe */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.kaggle.com/headsortails/covid19-tracking-germany COVID-19 Tracking Germany], Heads or Tails
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:55:46Z

Teorth: /* Asia */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/ThisIsIsaac/Data-Science-for-COVID-19 COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer], DS4C (Data Science for COVID-19) Project
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:54:39Z

Teorth: /* North America */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://www150.statcan.gc.ca/n1/en/type/data?text=COVID COVID statistics] (Canada), Statistics Canada
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:52:42Z

Teorth: /* Epidemiology */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
** [http://shiny.science.ku.dk/pbm/COVID19/ A visualization of the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:51:51Z

Teorth: /* North America */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://fr.flatten.ca/ FLATTEN] (Canada)
** Online screening tool to provide information on COVID-19
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:49:44Z

Teorth: /* Visualizations, projections, summaries */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===
* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics
* [https://hidden-fjord-23808.herokuapp.com/ COVID-19 Time Exploration]

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-06T16:47:40Z

Teorth: /* Europe */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://github.com/opencovid19-fr/data Consolidation des données de sources officielles concernant l'épidémie de COVID19] (France)
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS
* [https://console.cloud.google.com/marketplace/details/bigquery-public-datasets/covid19-dataset-list?preview=bigquery-public-datasets COVID-19 Public Datasets], Google Cloud

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help
* [https://airtable.com/shrPm5L5I76Djdu9B/tbl6pY6HtSZvSE6rJ/viwbIjyehBIoKYYt1?blocks=hide COVID-19 Solutions], Airtable

COVID-19 dataset clearinghouse

2020-04-02T01:46:44Z

Teorth:

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI
* [https://www.europeandataportal.eu/data/datasets/covid-19-coronavirus-data?locale=en COVID-19 Coronavirus data], European Union Open Data Portal
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/who/novel_coronavirus_situation_reports/ Novel Coronavirus (2019 nCoV) situation reports], World Health Organization
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/global/line_listings_oxford_github/ nCoV line listings from various sources and data processing], Oxford University
* [https://healthweather.us/?mode=Atypical US Health Weather Map], Kinsa Insights
** Cumulative amount of atypical illnesses observed since March 1

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://a816-hrt.nyc.gov/DataCatalog/Pages/DataView.cshtml?id=5ff1078d-8e34-43de-b339-7556dd09b5b2 Communicable Disease Surveillance Data], NYC Health Department Data Resources
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data
* [http://coronavirusapi.com/ Coronavirus API Public Health Initiative]
** Record of official data from US government websites for the 50 states and DC
* [https://dph.georgia.gov/covid-19-daily-status-report COVID-19 Daily Status Report], Georgia Department of Public Health
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/canada/ontario_situation_updates/ The 2019 Novel Coronavirus (2019 nCoV), Status of cases in Ontario], Ontario Ministry of Health

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://coronavirus.digitaler-harz.de/ Coronavirus API Deutschland] (Germany), Digitaler Harz
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team
* [https://www.europeandataportal.eu/data/datasets/fr-sars-cov-2?locale=en Fr-SARS-CoV-2] (France), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/coronavirus?locale=en Coronavirus] (Netherlands), Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
* [https://www.europeandataportal.eu/data/datasets/covid-19-zarazheni?locale=en Covid 19 - заражени] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covid-19-samoizolatsija?locale=en Covid 19 - самоизолација] (Serbia), European Data Portal
* [https://www.europeandataportal.eu/data/datasets/covidcountystatisticshpscireland?locale=en CovidCountyStatisticsHPSCIreland] (Ireland), Health Surveillance Protection Centre

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/line_list_park_github/ COVID 19 South Korea], Sang Woo Park
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/south%20korea/confirmed_cases_movement/ Confirmed patient movement route], Korean Centers for Disease Control
* [https://covid19ph.com/ COVID-19 Philippines], Negros Island
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/death_count_imperial_college/ Hubei early deaths 2020 07 02], Imperial College
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/china/daily_cases_chinacdc_EN/ Distribution of new coronavirus pneumonia], China CDC
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/hong%20kong/doh_situation_updates/ Latest local situation of Severe Respiratory Disease associated with a Novel Infectious Agent] (Hong Kong), Hong Kong Center for Health Protection
* [https://github.com/midas-network/COVID-19/tree/master/data/cases/thailand/moh_situation_updates/ Novel Coronavirus 2019 Pneumonia Situation] (Thailand), Emergency Operation Center, Department of Disease Control

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [http://biomed-sanity.com/ BioMed Sanity], karpathy
** Indexing bioRxiv papers on COVID-19
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica
* [https://www.covid19challenge.eu/ Fighting Covid-19 Challenge]
** A platform for open research on large Covid-19 imaging datasets

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://e-vent.mit.edu/ MIT Emergency Ventilator], MIT
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook
* [https://www.unacast.com/covid19 ‍Social Distancing Scoreboard], Unacast

=== Economic and Policy ===

* [https://docs.google.com/spreadsheets/d/19wJZekxpewDQmApULkvZRBpBwcnd5gZlZF2SEU2WQD8/htmlview?usp=sharing&pru=AAABcO6Xep8*i6rvRQXGMf3qhTlWDRbaSw# Colleges and universities closed/migrating online for COVID-19], Bryan Alexander
* [https://www.notion.so/Schools-affected-by-COVID-19-a28139cb40814869a2cd64cc9453d82c Schools affected by COVID-19]
* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN
* [https://rexdouglass.github.io/TIGR/TIGR_landing_page.nb.html Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)], Rex W. Douglass

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://www.coronatracker.com/ CoronaTracker]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* [https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL
* [https://corona.help/ Corona.help], Alex Dumitru
* [https://aatishb.com/covidtrends/ Covid trends], Aatish Bhatia, Minute Physics

=== Other lists, hubs, and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute
* [https://community.wuhan2020.org.cn/en-us/ Wuhan2020]
** a real-time and synchronous data service for hospitals, factories, procurement and other information
* [https://www.covid19-dataexchange.org/initiative COVID-19 Data Exchange], Dawex
* [https://www.endcoronavirus.org/ EndCoronavirus]
* [https://midasnetwork.us/covid-19/ Online Portal for COVID-19 Modeling Research], MIDAS

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]
* [https://helpwithcovid.com/ Help with COVID]
** New or established projects helping with the COVID-19 crisis that need help

COVID-19 dataset clearinghouse

2020-03-29T22:28:05Z

Teorth:

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://brasil.io/dataset/covid19/caso COVID-19] (Brazil)
** Boletins informativos e casos do coronavírus por município por dia
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic and Policy ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research
* [https://www.top10vpn.com/news/surveillance/covid-19-digital-rights-tracker/ COVID-19 Digital Rights Tracker], Top10VPN

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights
* [https://alan-turing-institute.github.io/COVID-19_PSTC/ COVID-19 Pandemic Symptom Trackers], Alan Turing Institute

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:23:09Z

Teorth: /* Social and traffic data */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://covid19-civiclytics.citibeats.com/#/ ¿De qué está hablando la ciudadanía durante la pandemia COVID-19?], Grupo BID
** Twitter data relating to COVID in Latin America
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:19:21Z

Teorth: /* Epidemiology */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:19:10Z

Teorth: /* Literature */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]
* [http://eppi.ioe.ac.uk/cms/Projects/DepartmentofHealthandSocialCare/Publishedreviews/COVID-19Livingsystematicmapoftheevidence/tabid/3765/Default.aspx COVID-19: a living systematic map of the evidence], EPPI

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:18:43Z

Teorth: /* Other lists and groups */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]
* [https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0 Possible Covid datasets]
* [https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit#gid=1936591204 COVID-19 Data Providers], Amass Insights

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:13:12Z

Teorth: /* Europe */

This is a repository for public data sets relating to the COVID-19 pandemic. It was also initially envisioned as a clearinghouse for matching requests for data cleaning of such datasets with volunteers willing to perform this clearing, but the [https://discourse.data-against-covid.org/c/i-have-data/15 existing clearinghouse] at [http://united-against-covid.org/ United against COVID-19] is already up and running for this purpose, so we are redirecting such requests to that site in order not to fragment the pools of requests and volunteers.

For discussion of this project, see [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests this blog post].

== Data sets ==

Further contributions are very welcome, and can be made either directly to this wiki page (after requesting an account), or placed in the comments to [https://terrytao.wordpress.com/2020/03/25/polymath-proposal-clearinghouse-for-crowdsourcing-covid-19-data-and-data-cleaning-requests/ this blog post], or by email to tao@math.ucla.edu.

=== Epidemiology ===

* [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset Novel Corona Virus 2019 Dataset - Day level information on covid-19 affected cases], Kaggle
* [https://ourworldindata.org/coronavirus Coronavirus Disease (COVID-19) – Statistics and Research], Our World in Data, by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina
** [https://ourworldindata.org/coronavirus?fbclid=IwAR0d1z_t-W9OQVDE08wMbR3-RX-XPCaogFM5hUmFMqL2QZDgY9x-R2CRErE Cases + mortality rate daily]
** [https://ourworldindata.org/covid-testing How many tests for COVID-19 are being performed around the world?]
* [https://github.com/CSSEGISandData/COVID-19 Novel Coronavirus (COVID-19) Cases], Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
** [https://github.com/datasets/covid-19 Novel Coronavirus 2019 time series data on cases], sourced and cleaned from the above data set
** [https://github.com/summyfeb12/COVID-19-JHU-Data-API JSON Wrapper API for the JHU CSSE data]
* [https://github.com/covid19-data/covid19-data 2019-nCoV Data Processing Pipelines and datasets]
** Countries and state names are normalized with ISO 3166-1 code.
* [https://github.com/beoutbreakprepared/nCoV2019 Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China], Outbreak and Pandemic Preparedness team at the Institute for Health Metrics and Evaluation, University of Washington
** A [https://www.healthmap.org/covid-19/ visualization of one of the data sets]
* [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Daily data on the geographic distribution of COVID-19 cases worldwide], European Centre for Disease Prevention and Control
* [https://docs.google.com/spreadsheets/d/1jS24DjSPVWa4iuxuD4OAXrE3QeI8c9BC1hSlqr-NMiU/edit#gid=1187587451 Google sheets from DXY.cn]
** Contains some patient information [age,gender,etc]
* [https://www.kaggle.com/imdevskp/corona-virus-report COVID-19 Complete Dataset (Updated every 24hrs)], Kaggle
* [https://datarepository.wolframcloud.com/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 Epidemic Data for Novel Coronavirus COVID-19], Wolfram
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/bbb2e4f589ba40d692fab712ae37b9ac Coronavirus COVID-19 Cases], ESRI

==== North America ====

* [https://github.com/COVID19Tracking/covid-tracking-data COVID Tracking Data], from the [https://covidtracking.com/ COVID tracking project]
** A daily updated repository with CSV representations of data from the [https://github.com/COVID19Tracking/covid-tracking-api/blob/master/README.md Covid Tracking API].
* [https://www.kaggle.com/sudalairajkumar/covid19-in-usa COVID-19 in USA], Kaggle
* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/628578697fb24d8ea4c32fa0c5ae1843_0?geometry=110.290%2C-19.609%2C-134.749%2C71.199 COVID-19 Cases US], ESRI
* [https://coronavirus.1point3acres.com/en COVID-19 in US and Canada]
** [https://coronavirus.1point3acres.com/en/data Data request form]
* [https://covidtracking.com/ COVID tracking project]
** Includes positive and negative results, pending tests, and total people tested for each state in the US
** [https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vRwAqp96T9sYYq2-i7Tj0pvTf6XVHjDSMIKBdZHXiCGGdNC0ypEU9NbngS8mxea55JuCFuua1MUeOj5/pubhtml raw data]
** [https://covidtracking.com/api/ API]
* [https://github.com/kgjenkins/covid-19-ny Covid-19 coronovirus cases in New York State]
* [https://www.nytimes.com/article/coronavirus-county-data-us.html Coronavirus Case Data for Every U.S. County], New York Times
** [https://github.com/nytimes/covid-19-data Github repository]
** [https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html Interactive visualization]
* [https://drive.google.com/file/d/1Ec-PDaqthCOPjWNXqun1yopX45xeSc0k/view COVID-19 Coronavirus US Case Density over Time by State], using JHU CSSE data

==== Europe ====

* [http://www.influenzanet.info/ Influenzanet]
* [https://leoss.net/ Studying SARS-CoV-2 in European patients], Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
* [https://github.com/pcm-dpc/COVID-19 COVID-19 Italia - Monitoraggio situazione]
* [https://www.epicentro.iss.it/coronavirus/sars-cov-2-sorveglianza-dati Sorveglianza integrata COVID-19: i principali dati nazionali] (Italy), Epicentro
* [https://www.kaggle.com/sudalairajkumar/covid19-in-italy COVID-19 in Italy], Kaggle
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/search?groupIds=b28109b18022405bb965c602b13e1bbc RKI COVID19] (Germany), NPGEO Corona
* [https://www.bag.admin.ch/bag/en/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html New coronavirus: Current situation – Switzerland and international], Bundesamt für Gesundheit.
** [https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-datengrundlage-lagebericht.xlsx.download.xlsx/200325_Datengrundlage_Grafiken_COVID-19-Bericht.xlsx data set]
* [https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm Situacion Actual] (Spain), Ministerio de Sanidad, Consumo y Bienestar
* [https://atlo.team/koronamonitor/ Koronamonitor] (Hungary), atlatszo.hu, atlo.team

==== Asia ====

* [https://www.covid19india.org/ India COVID-19 tracker]
** [https://docs.google.com/spreadsheets/d/e/2PACX-1vSc_2y5N0I67wDU38DjDh35IZSIS30rQf7_NYZhtYYGU1jJYT6_kDx4YpF-qw0LSlGsBYP8pqM_a1Pd/pubhtml Patient database]
* [https://www.kaggle.com/sudalairajkumar/covid19-in-india Dataset on Novel Corona Virus Disease 2019 in India], Kaggle
* [https://www.kaggle.com/imdevskp/covid19-corona-virus-india-dataset COVID-19 Corona Virus India Dataset], Kaggle
** State/UT/NCR wise COVID-19 data
* [https://github.com/jihoo-kim/Data-Science-for-COVID-19-old Data Science for COVID-19 in South Korea]
** [https://www.kaggle.com/kimjihoo/coronavirusdataset The data set on Kaggle]
* [https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030 Press releases], Korea Centers for Disease Control and Prevention

==== Other regional data ====

* [https://www.kaggle.com/unanimad/corona-virus-brazil Coronavirus (COVID-19) - Brazil Dataset], Kaggle
* [https://www.geopoll.com/blog/coronavirus-africa/ Coronavirus In Sub-Saharan Africa], Geopoll
* [https://www.health.nsw.gov.au/Infectious/diseases/Pages/covid-19-latest.aspx Latest updates on COVID-19], New South Wales

=== Genomics and homology ===

* [https://www.gisaid.org/ GISAID data] (Global Initiative on Sharing All Influenza Data)
** [https://www.gisaid.org/registration/register/ Registration] is required.
** [https://github.com/nextstrain/ncov Nextstrain build for novel coronavirus (nCoV)], based on GISAID data
*** A [https://nextstrain.org/ncov Genomic epidemiology of novel coronavirus]
* [https://www.kaggle.com/paultimothymooney/coronavirus-genome-sequence Coronavirus Genome Sequence], Kaggle
* [https://www.kaggle.com/paultimothymooney/repository-of-coronavirus-genomes Repository of Coronavirus Genomes], Kaggle
* [https://www.kaggle.com/jamzing/sars-coronavirus-accession SARS coronavirus accession], Kaggle
** Exploration of mutations of the SARS corona virus with complete genome
* [https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus Genetic Sequences for the SARS-CoV-2 Coronavirus], Wolfram
** Nucleotide sequences of the SARS-CoV-2 virus (the virus associated with the COVID-19 disease, formerly known as 2019-nCoV) including location, collection time and similar supporting data.
* [https://3dprint.nih.gov/discover/3DPX-012867 Wuhan coronavirus 2019-nCoV protease homology model], National Institutes of Health

=== Literature ===

* [https://www.ncbi.nlm.nih.gov/research/coronavirus/ LitCovid] - a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus
* [https://connect.biorxiv.org/relate/content/181 COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv]
* [https://pages.semanticscholar.org/coronavirus-research COVID-19 Open Research Dataset (CORD-19)], Allen Institute for AI, Microsoft, NLM, CZI, Georgetown University
** 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
** requested by the White House Office of Science and Technology Policy, and part of the [https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset]

=== Medical imagery and records ===

* [https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Patient Medical Data for Novel Coronavirus COVID-19], Wolfram
* [https://www.kaggle.com/darshan1504/covid19-detection-xray-dataset COVID-19 Detection X-Ray Dataset], Kaggle
* [https://www.sirm.org/category/senza-categoria/covid-19/ COVID-19: casistica radiologica Italiana], Società Italiana di Radiologia Medica e Interventistica

=== Healthcare, vaccine development and equipment ===

* [https://coronavirus-disasterresponse.hub.arcgis.com/datasets/definitivehc::definitive-healthcare-usa-hospital-beds Definitive Healthcare: USA Hospital Beds], ESRI
* [https://www.arcgis.com/home/webmap/viewer.html?webmap=6afcaeb7549f4390b07224a0be01b3a6 COVID-19 Provider Practice Locations], ArcGIS.
* [https://github.com/EdisonDesign/HealthOS Prototype of the HealthOS ventilation system], Edison Design
* [https://www.covidcaremap.org COVID Care Map]
** Open geospatial work to support health systems' capacity (providers, supplies, ventilators, beds, meds) to effectively care for rapidly growing COVID19 patient needs
** [https://www.covidcaremap.org/maps/us-healthcare-system-capacity/#6.07/40.085/-75.195 Open map data on US health system capacity to care for COVID-19 patients]
* [https://milkeninstitute.org/covid-19-tracker COVID-19 Treatment and Vaccine tracker], Milken Institute

=== Social and traffic data ===

* [https://docs.google.com/forms/d/e/1FAIpQLSc501xfAzEPADOwRmsdHmu-v8aN14jnKHBmEmdJJcTgRLddqw/viewform Aggregated foot traffic data], Safegraph
** Needs non-commercial agreement to execute.
** [https://www.safegraph.com/dashboard/covid19-commerce-patterns?is=5e7a3815f20d617a17a33173 Sample visualization of Safegraph data]
* [http://www.panacealab.org/covid19/ Covid-19 Twitter chatter dataset for scientific use], Panacea Lab, Georgia State University
* [https://covid19obs.fbk.eu/assets/files/last_info.csv Infodemics data from Twitter], CoMuNe lab
** [https://covid19obs.fbk.eu/ Infodemics Observatory]
* [https://app.powerbi.com/view?r=eyJrIjoiODZjNDhmYjAtZGQ3Zi00MDRlLTllNzctYTRjMmI4MTU5YWUyIiwidCI6IjZmZmEyMmY0LTQ1NjgtNDEwNS1hZDQzLTJlM2FkNDcyNjk1NyIsImMiOjN9 COVID-19 Online Survey], Harvard Humanitarian Initiative
** Analyzes social-behavioral aspects of outbreak control
* [https://dataforgood.fb.com/tools/disease-prevention-maps/ Disease prevention maps], Facebook

=== Economic ===

* [https://www.marinetraffic.com/research/measuring-the-coronavirus-impact-on-trade/ Measuring the Coronavirus’ impact on trade], Marine Traffic Research

=== Data scrapers and aggregators ===

* [https://coronadatascraper.com/#home Corona Data Scraper]
* [https://github.com/jagsfan82/Covid19-WebScrape-Plus Covid19-WebScrape-Plus]
* [http://covid-19.seektable.com/ COVID-19], Seektable

=== Visualizations, projections, summaries ===

* [https://www.worldometers.info/coronavirus/ COVID-19 Coronavirus Pandemic], Worldometer
* [https://bnonews.com/index.php/2020/03/the-latest-coronavirus-cases/ Tracking coronavirus: Map, data and timeline], BNO News
* [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Coronavirus COVID-19 Global Cases], JHU CSSE
* [https://infection2020.com/ Infection2020]
* [https://covy.app/ covy.app]
* [https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= COVID-19 Global Pandemic Real-Time report], dxy.cn ([https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share= English version])
* [https://www.ft.com/coronavirus-latest Coronavirus tracked: the latest figures as the pandemic spreads], Financial Times
* [https://www.mygov.in/covid-19/ COVID-19] - official Indian government site
* [https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data COVID-19 - Analysis, Visualization & Comparisons], Kaggle
* [https://covidactnow.org/ COVID Act Now] - predictions of COVID cases in the US by state
** [https://covidactnow.org/model The model used]
* https://covid19.healthdata.org/projections COVID-19 Projections], IHME
* [https://91-divoc.com/pages/covid-visualization/?fbclid=IwAR3vdyvNKRRvfw1t_xEXMwfEO4WMA-sOEoiSF_-w5lH8aDRJMR28vcOm2J8 An interactive visualization of the exponential spread of COVID-19]
* [http://nrg.cs.ucl.ac.uk/mjh/covid19/ CoVID 19 Worldwide Growth Rates], Mike Handley, UCL

=== Other lists and groups ===

* [https://www.kaggle.com/datasets?search=covid-19 COVID-19 data sets], Kaggle
* [https://www.reddit.com/r/datasets/comments/exnzrd/coronavirus_datasets/ Reddit thread collecting coronavirus datasets]
* [https://www.programmableweb.com/news/apis-to-track-coronavirus-covid-19/review/2020/03/18 Review of COVID-19 APIs], Wendell Santos
* [https://npgeo-corona-npgeo-de.hub.arcgis.com/ NPGEO Corona Hub 2020], Nationale Plattform für geografische Daten (NPGEO)
* [https://datarepository.wolframcloud.com/search?i=COVID Data sets for COVID], Wolfram Data Repository
* [https://www.tableau.com/covid-19-coronavirus-data-resources COVID-19 Data Hub], Tableau
* [https://coronavirus-disasterresponse.hub.arcgis.com/ COVID-19 GIS Hub], ESRI
* [https://disasterresponse.maps.arcgis.com/home/group.html?id=e0140dbc514b48b5b90c351740c14639#overview Coronavirus (COVID-19) Data], ESRI
** This is a collection of data that is available from the Esri Living Atlas as well as data from authoritative sources.
* [http://www.firemountain.net/covid19.html COVID-19 information]
* [https://coronavirustechhandbook.com/data Coronavirus Tech Handbook]
* [https://www.europeandataportal.eu/en/highlights/covid-19 European Data Portal for COVID-19]
* [https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#heading=h.ozu9c5nu5x43 Call for Action: COVID-19 Data Collaboratives]

== Data or Data cleaning requests ==

As mentioned at the top of this page, future requests for data or data cleaning should be directed to [http://united-against-covid.org/ this data discourse page] at [http://united-against-covid.org/ United Against COVID-19]. Below are the legacy requests of this project prior to this redirect.

=== From Chris Strohmeier (UCLA), Mar 25 ===

The biorxiv_medrxiv file at https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge contains another folder titled biorxiv_medrxiv, which in turn contains hundreds of json files. Each file corresponds to a research article, at least tangentially related to COVID-19.

We are requesting:

* A tf-idf matrix associated to the subset of the above collection which contain full-text articles (some appear to only have abstracts).
* The rows should correspond to the (e.g. 5000) most commonly used words.
* The columns should correspond to each individual json file.
* The clean data should be stored as a npy or mat file (or both).
* Finally, there should be a csv or text document (or both) explaining the meaning of the individual rows and columns of the matrix (what words do the rows correspond to? What file does each column correspond to).

Contact: c.strohmeier@math.ucla.edu

=== From Juan José Piñero de Armas (U. Católica de Murcia), Mar 27 ===

We request information (on a person basis) to perform survival analyses, regressions with random effects, etc. Some data exists for instance at

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset/data
https://www.kaggle.com/kimjihoo/coronavirusdataset
https://www.kaggle.com/imdevskp/covid-19-analysis-visualization-comparisons/data
https://www.sirm.org/category/senza-categoria/covid-19/

but we need much more detail (date when each person was diagnosed, date of infection for the same person, discharge date, date of death, gender, age, treatments, temperatures...) not just summaries or country-aggregated data.

Contact: jjpinero@ucam.edu

== Miscellaneous ==

* [https://epcced.github.io/ramp/ Rapid assistance in modelling the pandemic: RAMP]
** A call for assistance, addressed to the scientific modelling community Coordinated by the Royal Society
* [https://www.nsf.gov/pubs/2020/nsf20052/nsf20052.jsp Letter on the Coronavirus Disease 2019 (COVID-19)], National Science Foundation
** A solicitation for RAPID funding requests relating to COVID-19
* [https://coronacheck.eurecom.fr/en CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims], Paolo Papotti (EURECOM), Immanuel Trummer (Cornell)
* [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_COVID-19 COVID-19 Wikiproject]

COVID-19 dataset clearinghouse

2020-03-29T22:12:14Z

Teorth: /* Other lists and groups */

COVID-19 dataset clearinghouse

2020-03-29T22:09:27Z

Teorth: /* Other lists and groups */

COVID-19 dataset clearinghouse

2020-03-29T22:09:04Z

Teorth: /* Miscellaneous */

COVID-19 dataset clearinghouse

2020-03-29T22:07:48Z

Teorth: /* Other regional data */

COVID-19 dataset clearinghouse

2020-03-29T22:07:24Z

Teorth: /* Social and traffic data */

COVID-19 dataset clearinghouse

2020-03-29T21:52:02Z

Teorth: /* Social and traffic data */

COVID-19 dataset clearinghouse

2020-03-29T21:49:03Z

Teorth: /* Miscellaneous */

COVID-19 dataset clearinghouse

2020-03-29T21:48:53Z

Teorth: /* Miscellaneous */

COVID-19 dataset clearinghouse

2020-03-29T21:40:03Z

Teorth: /* Data sets */

COVID-19 dataset clearinghouse

2020-03-29T21:22:41Z

Teorth: /* Social and traffic data */

COVID-19 dataset clearinghouse

2020-03-29T21:20:09Z

Teorth: /* Epidemiology */

COVID-19 dataset clearinghouse

2020-03-29T21:18:41Z

Teorth: /* North America */

COVID-19 dataset clearinghouse

2020-03-29T21:17:13Z

Teorth: /* Healthcare and equipment */

COVID-19 dataset clearinghouse

2020-03-29T21:16:15Z

Teorth: /* Other lists and groups */

COVID-19 dataset clearinghouse

2020-03-29T21:06:25Z

Teorth: /* Epidemiology */

COVID-19 dataset clearinghouse

2020-03-29T21:05:53Z

Teorth: /* Data or Data cleaning requests */

COVID-19 dataset clearinghouse

2020-03-29T21:01:11Z

Teorth:

COVID-19 dataset clearinghouse

2020-03-29T21:00:03Z

Teorth: /* North America */

COVID-19 dataset clearinghouse

2020-03-29T20:58:52Z

Teorth: /* Healthcare */

COVID-19 dataset clearinghouse

2020-03-29T20:57:26Z

Teorth: /* Visualizations and summaries */

COVID-19 dataset clearinghouse

2020-03-29T20:56:11Z

Teorth: /* Epidemiology */

COVID-19 dataset clearinghouse

2020-03-29T20:52:45Z

Teorth: /* Epidemiology */

COVID-19 dataset clearinghouse

2020-03-29T20:51:25Z

Teorth: /* Visualizations and summaries */

COVID-19 dataset clearinghouse

2020-03-29T20:50:29Z

Teorth: /* Other lists and groups */

COVID-19 dataset clearinghouse

2020-03-29T18:36:23Z

Teorth: /* Other lists */

COVID-19 dataset clearinghouse

2020-03-29T18:35:05Z

Teorth: /* Data sets */

COVID-19 dataset clearinghouse

2020-03-29T00:42:48Z

Teorth: /* Visualizations and summaries */

COVID-19 dataset clearinghouse

2020-03-29T00:34:43Z

Teorth: /* Other regional data */