Resources


Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, et al.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. Version: 1.0.0


Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, et al.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. 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


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 Open Access

A large scale 12-lead electrocardiogram database for arrhythmia study

Jianwei Zheng, Hangyuan Guo, Huimin Chu

A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Published: Aug. 24, 2022. Version: 1.0.0

Visualize waveforms

Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, et al.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

eeg music signal processing heart rate physiological signals neurophysiology coffee empatica n-back experiments perfume wearable devices control systems memory task muse closed-loop brain cognitive states skin conductance

Published: Dec. 18, 2023. Version: 1.0.0


Database Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, et al.

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

signal processing murmur pitch george b moody physionet challenge 2022 murmur grading murmur location murmur timing phonocardiogram pregnant murmur shape pediatric murmur detection murmur intensity murmur quality

Published: May 10, 2022. Version: 1.0.3

Visualize waveforms

Database Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, et al.

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

signal processing murmur pitch george b moody physionet challenge 2022 murmur grading murmur location murmur timing phonocardiogram pregnant murmur shape pediatric murmur detection murmur intensity murmur quality

Published: May 10, 2022. Version: 1.0.3

Visualize waveforms