Resources


Database Credentialed Access

GOSSIS-1-eICU, the eICU-CRD subset of the Global Open Source Severity of Illness Score (GOSSIS-1) dataset

Jesse Raffa, Alistair Johnson, Tom Pollard, et al.

GOSSIS-1 is an in-hospital mortality prediction algorithm for critical care patients. GOSSIS-1 was trained using data from three countries. This dataset corresponds with the USA subset of the GOSSIS-1 dataset for the 2022 publication below.

icu critical care severity of illness global gossis apache mortality prediction benchmarking

Published: July 20, 2022. Version: 1.0.0

Database Open Access

Simultaneous physiological measurements with five devices at different cognitive and physical loads

Marcus Vollmer, Dominic Bläsing, Julian Elias Reiser, et al.

Dataset to support comparison of usability and accuracy from simultaneous measurements collected from 13 subjects including five devices: NeXus-10 MKII, eMotion Faros 360°, Hexoskin Hx1, SOMNOTouch NIBP, Polar RS800 Multi.

holter multiparameter photoplethysmogram noise accelerometer heart rate movement temperature hrv respiration ecg

Published: Jan. 18, 2023. Version: 1.0.2

Visualize waveforms

Software Open Access

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks

Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, et al.

An open-source Matlab based graphical user interface for the detection and correction of R-peaks.

algorithms and analysis of algorithms signal processiong visual analysis graphical user interface

Published: Sept. 8, 2020. Version: 1.0.0

Database Restricted Access

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

Meishar Meisel, Benjamin Alfred Cohen, Meital Baskin, et al.

The HYAMD dataset comprises 1,560 high-resolution fundus images from 325 patients, aimed at validating machine learning models for age-related macular degeneration (AMD) diagnosis.

Published: Sept. 9, 2025. 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 Contributor Review

Salzburg Intensive Care database (SICdb), a freely accessible intensive care database

Niklas Rodemund, Andreas Kokoefer, Bernhard Wernly, et al.

The SICdb dataset, version 1.0.8 contains 27350 admissions to an ICU in an Austrian tertiary care institution.

clinical intensive care critical care machine learning open data

Published: Sept. 10, 2024. Version: 1.0.8