Resources


Database Credentialed Access

Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV

Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, et al.

A multimodal clinical dataset consisting of CXRs, ECGs, and blood labs, designed to evaluate Symile, a simple contrastive loss that accommodates any number of modalities and allows any model to produce representations for each modality.

database cxr ecg chest x-ray mimic contrastive learning model multimodal electrocardiogram

Published: Jan. 28, 2025. Version: 1.0.0

Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, et al.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk wearable multimodal

Published: March 25, 2024. Version: 1.0.1

Database Credentialed Access

Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV

Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, et al.

A multimodal clinical dataset consisting of CXRs, ECGs, and blood labs, designed to evaluate Symile, a simple contrastive loss that accommodates any number of modalities and allows any model to produce representations for each modality.

database cxr ecg chest x-ray mimic contrastive learning model multimodal electrocardiogram

Published: Jan. 28, 2025. Version: 1.0.0

Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, et al.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk wearable multimodal

Published: March 25, 2024. Version: 1.0.1

Database Open Access

A multi-camera and multimodal dataset for posture and gait analysis

Manuel Palermo, João Mendes Lopes, João André, et al.

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

computer vision inertial motion capture smart walker human pose estimation gait and posture analysis depth rehabilitation deep learning

Published: Nov. 1, 2021. Version: 1.0.0

Database Contributor Review

A multimodal dental dataset facilitating machine learning research and clinic services

Wenjing Liu, Yunyou Huang, Suqin Tang

A new dental dataset that contains 169 patients, three commonly used dental image models, and images of various health conditions of the oral cavity.

Published: Oct. 11, 2024. Version: 1.1.0

Database Restricted Access

Multimodal Physiological Indices During Surgery Under Anesthesia

Sandya Subramanian, Bryan Tseng, Riccardo Barbieri, et al.

Multimodal physiological indices collected during surgery when patients were under anesthesia

anesthesia nociception

Published: Aug. 23, 2024. Version: 1.0

Database Restricted Access

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Chihcheng Hsieh, Chun Ouyang, Jacinto C Nascimento, et al.

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Published: March 23, 2023. Version: 1.0.0

Challenge Open Access

Robust Detection of Heart Beats in Multimodal Data: The PhysioNet/Computing in Cardiology Challenge 2014

This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…

multiparameter challenge ecg

Published: Jan. 7, 2014. Version: 1.0.0

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, et al.

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0