Resources


Database Credentialed Access

Nosocomial Risk Datasets from MIMIC-III

Travis Goodwin

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

pressure injury risk prediction acute kidney injury anemia forecasting natural language processing deep learning

Published: Sept. 15, 2022. Version: 1.0

Database Restricted Access

Multimodal Physiological Monitoring During Virtual Reality Piloting Tasks

Hrishikesh Rao, Emilie Cowen, Sophia Yuditskaya, et al.

Physiologic and flight performance data from a virtual reality task. Data for the CogPilot Data Challenge.

Published: Aug. 25, 2022. Version: 1.0.0

Database Credentialed Access

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

Jayetri Bardhan, Anthony Colas, Kirk Roberts, et al.

DrugEHRQA is a QA dataset containing question-answers from MIMIC-III tables and discharge summaries.

question-answer qa

Published: April 12, 2022. Version: 1.0.0

Database Credentialed Access

RadNLI: A natural language inference dataset for the radiology domain

Yasuhide Miura, Yuhao Zhang, Emily Tsai, et al.

A radiology NLI dataset introduced in the paper: Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

Published: June 29, 2021. Version: 1.0.0

Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, et al.

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

nifti artificial intelligence anonymization clinical diagnosis myocardial perfusion systems modeling myocardial perfusion scintigraphy dicom metadata ventricular walls coronary artery disease convolutional neural networks automated segmentation

Published: Sept. 9, 2025. Version: 1.0.0

Database Open Access

In-Gauge and En-Gage: Understanding Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables

Nan Gao, Max Marschall, Jane Burry, et al.

The project aims to understand occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.

electrodermal activity heart rate physiological signals environmental sensing thermal comfort modelling occupant behaviour sensing emotion sensing human behavoural modelling smart building

Published: Feb. 13, 2023. Version: 1.0.0