Resources


Database Open Access

Patient-level dataset to study the effect of COVID-19 in people with Multiple Sclerosis

Hamza Khan, Lotte Geys, peer baneke, et al.

This dataset is part of the Global Data Sharing Initiative. The data was acquired by people with MS and clinicians using a fast data entry tool. The dataset includes demographics, comorbidities and hospital stay and COVID-19 symptoms of PwMS.

Published: Jan. 2, 2024. Version: 1.0.1

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, et al.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, et al.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0

Database Restricted Access

Flatten: COVID-19 Survey Data on Symptoms, Demographics and Mental Health in Canada

Shrey Jain, Marie Charpignon, Mathew Samuel, et al.

Freely accessible COVID-19 symptom dataset surveying Canadians and gathered from March to July of 2020 by the global humanitarian aid non-profit Flatten. This dataset of 294,106 surveys gathered from March 23rd to July 30th in 2020.

public health population statistics covid-19

Published: March 8, 2021. Version: 1.0

Database Restricted Access

Flatten: COVID-19 Survey Data on Symptoms, Demographics and Mental Health in Canada

Shrey Jain, Marie Charpignon, Mathew Samuel, et al.

Freely accessible COVID-19 symptom dataset surveying Canadians and gathered from March to July of 2020 by the global humanitarian aid non-profit Flatten. This dataset of 294,106 surveys gathered from March 23rd to July 30th in 2020.

public health population statistics covid-19

Published: March 8, 2021. Version: 1.0

Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, et al.

Thermal videos of people with positive and negative COVID-19 tests.

thermal videos sars-cov-2 clinical symptoms covid-19

Published: Aug. 16, 2021. Version: 1.1

Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, et al.

Thermal videos of people with positive and negative COVID-19 tests.

thermal videos sars-cov-2 clinical symptoms covid-19

Published: Aug. 16, 2021. Version: 1.1

Database Credentialed Access

CovIdentify Dataset

Peter Cho, Md Mobashir Hasan Shandhi, Ali Roghanizad, et al.

This contains wearable device data from Fitbit, Garmin, and Apple Watch users. The data is from April 2nd, 2020 to March 21st, 2021 and has been date-shifted. An appropriate amount has also shifted test dates for each user.

Published: Nov. 25, 2024. Version: 1.0.0

Database Contributor Review

CARMEN-I: A resource of anonymized electronic health records in Spanish and Catalan for training and testing NLP tools

Eulalia Farre Maduell, Salvador Lima-Lopez, Santiago Andres Frid, et al.

CARMEN-I is a Spanish corpus of 2,000 clinical records from Hospital Clínic, Barcelona. It covers COVID-19 patients and comorbidities, serving as a resource for training clinical NLP models and researchers in NLP applied to clinical documents.

de-identification clinical ner anonymization

Published: April 20, 2024. Version: 1.0.1

Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, et al.

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0