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Open Access
Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014
Lily Koffman, John Muschelli
Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore accelerometers in NHANES 2011-2014.
physical activity
accelerometry
steps
nhanes
Published: May 5, 2025.
Version: 1.0.1
Database
Restricted Access
Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data
Zhongheng Zhang, Linghong Cao, Yan Zhao, et al.
The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.
china
electronic health record
heart failure
Published: May 22, 2022.
Version: 1.3
Database
Contributor Review
Medical Information Mart for Intensive Care Brazil (MIMIC-BR): a Brazilian Dataset of Anonymized Hospital and ICU Clinical Data
Gabriela Steil, Adhara Brandão Lima Vanhoz, Mateus de Lima Freitas, et al.
Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a Brazilian dataset of hospital and ICU adult patients anonymized data. It includes 31,789 admissions to the Einstein Hospital Israelita during a period of 3 years in the last 10 years
critical care
dataset
artificial intelligence
intensive care unit
tertiary heatlhcare
data anonymization
inpatients
machine learning
Published: May 21, 2026.
Version: 1.0.0
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
Database
Credentialed Access
NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies with Longitudinal Clinical Data
Harlin Lee, Boyue Li, Yungui Huang, et al.
The NCH Sleep DataBank includes 3,984 pediatric sleep studies on 3,673 unique patients conducted at Nationwide Children's Hospital between 2017 and 2019. It contains polysomnography (PSG), clinical annotations, and longitudinal clinical data.
eeg
ehr
pediatrics
polysomnography
clinical decision support
sleep study
electronic health records
sleep disorders
ecg
Published: Oct. 27, 2021.
Version: 3.1.0
Database
Restricted Access
DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology
Ke Wang, Jiamu Yang, Ayush Shetty, et al.
We present high resolution wearable device multichannel data along with clinical labeled and recorded sleep stage and polysomnography (PSG) data from 100 sleep abnormal patients with sleep apnea.
time series classification
sleep disorders
wearable
biomedical
Published: June 2, 2026.
Version: 2.2.0
Database
Contributor Review
BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language
Henrique Dias, Ana Helena Dias Pereira dos Ulbrich
Brazilian clinical dataset containing over 70,000 admissions from 10 hospitals in two Brazilian states.
prescriptions
exams
tertiary care
natural language processing
clinical notes
Published: July 14, 2022.
Version: 1.1
Database
Credentialed Access
MIMIC-III Clinical Database
Alistair Johnson, Tom Pollard, Roger Mark
MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…
clinical
critical care
natural language processing
intensive care
machine learning
Published: Sept. 4, 2016.
Version: 1.4
Database
Credentialed Access
Multimodal Clinical Monitoring in the Emergency Department (MC-MED)
Aman Kansal, Emma Chen, Tom Jin, et al.
A multimodal dataset of deidentified clinical and physiological data from emergency department visits, supporting research on patient outcomes, care processes, and the effects of continuous monitoring during and after the COVID-19 pandemic.
Published: Sept. 25, 2025.
Version: 1.0.1
Database
Restricted Access
EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs
Pierre Elias, Joshua Finer
EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.
clinical decision support
artificial intelligence
digital health
structural heart disease
electrocardiogram
health equity
ecg
heart failure
transthoracic echocardiogram
ai model deployment
valvular heart disease
cardiovascular screening
ai in healthcare
left ventricular dysfunction
deep learning
population health
aortic stenosis
machine learning
Published: April 30, 2026.
Version: 1.1.1
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Maintained by the MIT Laboratory for Computational Physiology
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Heart Lung and Blood Institute (NHLBI), and NIH Office of the Director under NIH grant numbers U24EB037545 and R01EB030362
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