Discover datasets

The BNCI 2015-009 AMUSE dataset comprises EEG recordings from 21 healthy subjects performing an auditory oddball task using spatial hearing as a discriminating cue. The dataset implements a P300-based brain-computer interface paradigm with multi-class auditory stimuli presented from five spatially distributed speakers at varying inter-stimulus intervals. Preprocessed data includes 60 EEG channels and 2 EOG channels sampled at 100 Hz (downsampled from 250 Hz acquisition rate), with offline classification achieving up to 100% accuracy on best-performing individual subjects.

Participants

21

Citations

91

HED

v8.4.0

Size

4.57 GB

Version

v1.0.0

Updated

Jun 3, 2026

…logarithmic bandpower, CSP - **Frequency bands**: alpha=[10, 13] Hz; beta=[16, 24…

Participants

12

Citations

95

HED

v8.4.0

Size

1.13 GB

Version

v1.0.0

Updated

May 16, 2026

…Feature extraction**: FBCSP - **Frequency bands**: alpha=[8.0, 13.0] Hz; beta…

Participants

25

Citations

50

HED

v8.4.0

Size

22.4 GB

Version

v1.0.0

Updated

May 18, 2026

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.

Participants

19

Size

6.10 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Riemannian, AR, ICA - **Frequency bands**: alpha=[8.0, 12.0] Hz; mu…

Participants

8

HED

v8.4.0

Size

99.6 MB

Version

v1.0.0

Updated

May 16, 2026

This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.

Participants

13

Citations

1

Size

58.3 GB

Version

v1.0.0

Updated

Jun 21, 2026

…CSP, DFT, Bandpower - **Frequency bands**: alpha=[6, 14] Hz; beta=[14, 40…

Participants

14

Citations

89

HED

v8.4.0

Size

553 MB

Version

v1.0.2

Updated

Jun 19, 2026

…Feature extraction**: ERSP - **Frequency bands**: alpha=[8.0, 13.0] Hz; beta…

Participants

18

HED

v8.4.0

Size

20.3 GB

Version

v1.0.0

Updated

May 25, 2026

Imported from OpenNeuro ds003194

Participants

15

Size

189 MB

Version

v1.0.0

Updated

May 23, 2026

…Covariance/Riemannian, ICA - **Frequency bands**: alpha=[8.0, 13.0] Hz; theta…

Participants

15

Citations

58

HED

v8.4.0

Size

1.22 GB

Version

v1.0.0

Updated

Jun 2, 2026