Resources


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

Database Open Access

A Wearable Exam Stress Dataset for Predicting Cognitive Performance in Real-World Settings

Md Rafiul Amin, Dilranjan Wickramasuriya, Rose T Faghih

The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter beat interval and accelerometer data recorded during three exam sessions (midterm 1, midterm 2 and finals) as well as their corresponding grades

stress

Published: May 26, 2022. Version: 1.0.0

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

Database Restricted Access

Electrocardiogram-Capable Smartwatches: Assessing Their Clinical Accuracy and Application

Joaquin Recas, Mauro Buelga Suárez, Sergio González-Cabeza, et al.

This database allows the study of the feasibility of using ECG-capable smartwatches as diagnostic tools, focusing on their compliance with clinical standards and their ability to measure critical ECG parameters beyond AF detection.

ischemia fitbit sense ambulatory samsung galaxy watch st-segment apple watch withings scanwatch smartwatch

Published: April 9, 2025. Version: 1.0.0

Database Credentialed Access

CovIdentify Dataset

Peter Cho, Md Mobashir Hasan Shandhi, Ali Roghanizad, et al.

This contains wearable device data from Fitbit, Garmin, and Apple Watch users. The data is from April 2nd, 2020 to March 21st, 2021 and has been date-shifted. An appropriate amount has also shifted test dates for each user.

Published: Nov. 25, 2024. Version: 1.0.0

Database Open Access

Gesture Recognition and Biometrics ElectroMyogram (GRABMyo)

Ning Jiang, Ashirbad Pradhan, Jiayuan He

Open-access dataset of electromyogram (EMG) recordings collected from the wrist and forearm muscles of 43 people while they performed hand gestures.

Published: June 7, 2024. Version: 1.1.0

Visualize waveforms

Database Credentialed Access

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar, et al.

GLOBEM datasets contain the first released multi-year mobile and wearable sensing datasets from 2018 to 2021, containing 705 person-years and 497 unique participants.

health ubiquitous computing well-being passive mobile sensing human behavior modeling

Published: March 14, 2023. Version: 1.1

Challenge Open Access

Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

Xingyao Wang, Caiyun Ma, Xiangyu Zhang, et al.

CPSC2021 for paroxysmal atrial fibrillation events detection.

event detection paroxysmal atrial fibrillation

Published: June 21, 2021. Version: 1.0.0

Visualize waveforms

Database Restricted Access

BigIdeasLab_STEP: Heart rate measurements captured by smartwatches for differing skin tones

Brinnae Bent, Jessilyn Dunn

Comparison of HR values reported by ECG (Bittium Faros) and wearables including Biovotion Everion, Empatica E4, Apple Watch, Garmin, Fitbit, and Xiaomi Miband.

wearables heart rate

Published: Feb. 10, 2021. Version: 1.0

Database Open Access

Electrocardiogram, skin conductance and respiration from spider-fearful individuals watching spider video clips

Frank R Ihmig, Antonio Gogeascoechea, Sarah Schäfer, et al.

Dataset used for development of an algorithm for on-line anxiety level detection from biosignals.

exposure therapy psychophysiology biosignals anxiety disorders wearable sensors anxiety level detection machine learning

Published: June 5, 2020. Version: 1.0.0