Discover datasets

A dataset recorded during development of an affective brain-computer music interface: training sessions

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.

Participants: 10
Channels: 32 (10-10)
Size: 8.52 GB
Version: v1.0.0
Updated: Jul 10, 2026

Discover datasets

visStim

Electrical_Thermal_FingerTapping_2015

29 By BP

High Density Resting State EEG of Phantom Limb Pain and Controls

Expectation effects on repetition suppression in nociception

Lower-limb MI dataset for knee pain patients from Zuo et al. 2025

PREDICT

Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and Neck Cancer Pain

A dataset recorded during development of an affective brain-computer music interface: training sessions

HUP iEEG Epilepsy Dataset