Resources


Database Open Access

Brno University of Technology Smartphone PPG Database (BUT PPG)

Andrea Nemcova, Radovan Smisek, Eniko Vargova, et al.

BUT PPG is a database created for the purpose of evaluating PPG signal quality and estimation of heart rate. The data comprises 3,888 10s recordings of PPGs recorded by smartphone and associated ECG and ACC signals and annotations.

heart rate artificial intelligence ppg ecg acc signal quality assessment annotations accelerometric data electrocardiogram photoplethysmography

Published: Aug. 23, 2024. Version: 2.0.0

Database Credentialed Access

MIMIC-III-Ext-CA: a MIMIC-III Derived Dataset of Cardiac Arrests in Photoplethysmographs

Gerben Hup, Xi Long, Rik Vullings

The MIMIC-III-Ext-CA dataset contains annotations of 31 PPG-captured cardiac arrest episodes from the MIMIC-III clinical and waveform databases.

ppg photoplethysmography mimic-iii cardiac arrest out-of-hospital cardiac arrest ohca

Published: March 10, 2026. Version: 1.0.0

Challenge Credentialed Access

SNOMED CT Entity Linking Challenge

Will Hardman, Mark Banks, Rory Davidson, et al.

272 discharge notes from the MIMIC-IV-Note dataset annotated with SNOMED CT concepts.

snomed entity linking clinical annotation

Published: Feb. 17, 2026. Version: 1.2.1

Challenge Credentialed Access

ArchEHR-QA: A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization

Sarvesh Soni, Dina Demner-Fushman

A dataset for grounded question answering (QA) from electronic health records (EHRs).

question answering electronic health record patient portals clinicians

Published: Jan. 1, 2026. Version: 1.3

Database Restricted Access

TN-Mammo: A Multi-view Mammography Dataset for Breast Density Classification

Binh Nguyen, Cat Le, Loc Vu, et al.

We release the first version of TN-Mammo (June 2024), a mammogram dataset of 676 cases with breast density labels, providing high-quality data to support machine learning and early breast cancer detection.

Published: Oct. 4, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-Ext-DrugDetection

Fabrice Harel-Canada, Nanyun Peng, David Goodman, et al.

This project offers a multilabel annotated dataset of clinical note sentences from MIMIC-III/IV for substance use detection. It supports NLP research for identifying various co-occurring drug use mentions in patient records.

ehr mimic-iv substance use clinical notes mimic-iii methamphetamine multi-label cocaine drug detection polysubstance use prescription opioid misuse cannabis benzodiazepine misuse injection drug use heroin

Published: Sept. 25, 2025. Version: 1.0.0

Database Open Access

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Kenta Tsutsui, Shany Biton Brimer, Joachim Behar

Holter ECG database from Japan, containing data from 100 unique patients with paroxysmal AF including expert annotations of Supraventricular arrhythmias at the beat level.

atrial fibrillation ecg holters

Published: April 16, 2025. Version: 1.0.1

Database Restricted Access

CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation

Yuxiang Liao, Hoisang Heung, Hantao Liu, et al.

CXRGraph is a structured radiology report dataset built upon RadGraph and tailored for the Automatic Radiology Report Generation task. It can identify more task-relevant information such as abnormalities and hallucinated prior references.

relation extraction information extraction natural language processing named entity recognition structured radiology report

Published: Feb. 3, 2025. Version: 1.0.0

Database Restricted Access

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients

Tu-Quyen Dao, Eike Schneiders, Jennifer Williams, et al.

TAME Pain is a dataset that captures acoustic signals of pain and is augmented by annotating every sentence the participant speaks with details such as background and foreground noise, speech errors, and non-speech vocal features.

audio speech pain cold pressor task

Published: Jan. 21, 2025. Version: 1.0.0

Database Restricted Access

Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy

Pietro Mascagni, Deepak Alapatt, Aditya Murali, et al.

Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and Critical View of Safety (CVS) prediction, contributing to safe laparoscopic cholecystectomy.

surgical safety computer assisted interventions semantic segmentation surgical data science medical imaging analysis

Published: Dec. 11, 2024. Version: 1.0.0