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A dataset recorded during development of an affective brain-computer music interface: calibration session

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.

Size: 6.10 GB
Updated: Jun 21, 2026

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visStim

Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

A dataset recorded during development of an affective brain-computer music interface: calibration session

Cross-modal Oddball Task.

Vicarious touch: overlapping neural patterns between seeing and feeling touch

Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals

TDCS Modulation of Visual Cortex in Motor Imagery

Structural MRI and fMRI of Participants Performing Kinesthetic Motor Imagery of Walking vs. Standing While Viewing a First‑Person Exoskeleton Video Stimulus (11 Stop‑Walk‑Stop Cycles)

Neural Tracking to go