Table 8.
Ref. | Type | Size | URL | Open-Source | Metadata |
---|---|---|---|---|---|
medseg.ai | CT scan | 100 CT scans from 40 COVID-19 patients | http://medicalsegmentation.com/covid19/ (access date 20 February 2021) | Yes | Yes |
[265] | CT scan | 68,623 CT scan images for COVID-19 and non-COVID-19 images | - | No | No |
[266] | CT scan | 370 CT scan images for COVID-19 and non-COVID-19 images | - | Yes | No |
[240] | X-ray | 13,800 X-ray images for COVID-19 and phenomena | - | No | No |
[236] | X-ray | 100 X-ray images for COVID-19 and healthy class images | - | No | Yes |
[241] | X-ray | 230 X-ray images for COVID-19 and non-COVID-19 images | - | NO | No |
[53] | X-ray | 127 X-ray images for COVID-19 and non-COVID-19 images | - | No | No |
[241] | X-ray | 17,000 X-ray images for three class (COVID-19, healthy and phenomena | - | No | No |
[242] | X-ray | 2500 X-ray images for COVID-19 and non-COVID-19 images | - | Yes | NO |
[243] | X-ray | 4707 X-ray images for COVID-19 and non-COVID-19 images | - | Yes | Yes |
Kaggle | X-ray | 359 X-ray images for COVID-19 and non-COVID-19 patients | https://www.kaggle.com/bachrr/covid-chest-xray (access date 20 February 2021) | Yes | Yes |
GitHub | X-ray | 239 images for COVID-19-positive cases, in addition to some vital sings | https://github.com/agchung/Actualmed-COVID-chestxraydataset/tree/master/images, (access date 20 February 2021) | Yes | Yes |
[25] | CT scan | 34 CT scan images for COVID-19 and non-COVID-19 patients | https://github.com/UCSD-AI4H/COVID-CT, (access date 20 February 2021) | Yes | Yes |
[70] | Ultrasound images | (654 COVID-19-positive subjects, 277 bacterial pneumonia, and 172 healthy subjects | https://github.com/jannisborn/covid19 pocus ultrasound/tree/master/data, (access date 20 February 2021) | Yes | Yes |
[235] | CT scan and X-ray images | 265 COVID-19 (165 X-ray, 100 CT scans) | https://github.com/ieee8023/covid-chestxray-dataset, (access date 20 February 2021) | Yes | Yes |
EOR | CT scan and X-ray images | Various CT scan and X-ray images for COVID-19 patients | https://www.eurorad.org/advanced-search?search=COVID, (access date 20 February 2021) | No | Yes |
BSTI | CT scan and X-ray images | Various CT scan and X-ray images for COVID-19 patients |
https://bit.ly/BSTICovid19 Teaching Library (access date 20 February 2021) |
No | Yes |
[82] | Cough-sound | 328 sound from 150 patient | - | No | No |
[80] | Cough-sound | Cough and speech from 1079 normal and 92 COVID-19 |
https://coswara.iisc.ac.in (access date 20 February 2021) |
Yes | Yes |
[247] | Cough sound | Cough sound: 13 normal and 8 COVID-positive cases |
https://coughtest.online (access date 20 February 2021) |
Yes | Yes |
GitHub | Cough sound | 121 segmented coughs collected from 16 patient |
https://github.com/virufy/covid (access date 20 February 2021) |
Yes | Yes |
[81] | Cough Sound | 144 segmented coughs, aggregated from 28 patient | - | No | NO |
[249] | Breathing sound | 260 sound record aggregated from 52 COVID (32 male, 20 females) positive cases | - | No | Yes |
[76] | Breathing sound | 7000 unique samples, including 200 samples from COVID-19-confirmed cases | - | NO | Yes |
[266] | Text data | Symptoms and health reports for 62 patients in South Korea |
https://www.kaggle.com/kimjihoo/coronavirusdataset (access date 20 February 2021) |
Yes | Yes |
datahub | Text data | Time series symptoms from COVID-19 patients |
https://datahub.io/core/covid-19 (access date 20 February 2021) |
Yes | Yes |
[69] | COVID-19 (Japan) | 29 columns |
https://www.kaggle.com/lisphilar/covid19-dataset-in-japan (access date 20 February 2021) |
Yes | Yes |
Word clouds | Covid-19 Text Dataset | Text data extracted from 13,202 scientific papers |
https://github.com/Sarmentor/POS-Tagging-Wordcloud-with-R (access date 20 February 2021) |
Yes | Yes |
Kaggle | COVID-19 Predictors | 28 demographic features about 96 countries (infection rate, number of ICU beds, death rate, etc) |
https://www.kaggle.com/nightranger77/covid19-demographic-predictors (access date 20 February 2021) |
Yes | Yes |
Kaggle | COVID-19 country info | Include information about different countries, such as death rate, infection rate, and number of rapid tests |
https://www.kaggle.com/koryto/countryinfo (access date 20 February 2021) |
Yes | No |
Kaggle | Coronavirus (COVID-19) Tweets | 500,000 Tweets of users write the following hashtags: #coronavirus, #covid_19 #coronavirusoutbreak, #coronavirusPandemic, #covid19 |
https://www.kaggle.com/smid80/coronavirus-covid19-tweets (access date 20 February 2021) |
Yes | Yes |
[75] | COVID-19 Multilanguage Tweets Dataset | 1200 M tweets collected using keywords related to COVID-19 |
https://sites.lafayette.edu/lopezbec/projects/covid-19-multilanguage-tweets-dataset/ (access date 20 February 2021) |
Yes | Yes |
[76] | COVID-19 Twitter Dataset | 237 million tweets extracted from Twitter posts that mentioned “COVID” as a word or hashtag (e.g., COVID-19, COVID19) |
https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=doi:10.5683/SP2/PXF2CU (access date 20 February 2021) |
yes | Yes |
CDCP | Text data | Patient symptoms and report health status in |
https://www.cdc.gov/coronavirus/2019-ncov/index.html https://www.coronavirus.gov/ (access date 20 February 2021) |
Yes | Yes |
NCBI | Genome data | Viral protein sequence |
https://www.ncbi.nlm.nih.gov/genbank/sars-cov-2-seqs/ (access date 20 February 2021) |
Yes | Yes |
GISAID | Genome data | Viral protein sequence |
https://www.gisaid.org/ (access date 20 February 2021) |
Yes | Yes |
GC | Genome data | Viral protein sequence |
https://db.cngb.org/datamart/disease/DATAdis19/ (access date 20 February 2021) |
Yes | Yes |
EBI | Genome data | Viral structure, RNA, and protein sequence |
https://www.covid19dataportal.org/ (access date 20 February 2021) |
Yes | Yes |
(NCBI). | Genome data | Viral protein sequence |
https://registry.opendata.aws/ncbi-covid-19/ (access date 20 February 2021) |
Yes | Yes |
Zeng’s | Case reports | Reports on 20 projects, 16 report |
http://open-source-covid-19.weileizeng.com/ (access date 20 February 2021) |
Yes | Yes |
BSTI: British Society of Thoracic Imaging; CDCP: Centers for Disease Control and Prevention in the US; GISAID: The GISAID organization; NCBI: NCBI GenBank; GC: GeneBank in China; EOR: European Organization for Radiology.