Discover datasets

EEG dataset from 11 healthy participants performing a 3-class auditory brain-computer interface task based on auditory stream segregation. Musical tones forming three tone streams were presented to the right ear, and participants attended to one stream while counting target stimuli, which elicited P300 activity. Recordings comprise 64-channel EEG and 2-channel EOG at 1000 Hz. Classification based on Riemannian geometry achieved over 80% accuracy for five subjects and over 75% for nine subjects in 10-fold cross-validation.

Participants

11

Channels

64 (10-10)

Citations

10

HED

v8.4.0

Size

6.31 GB

Version

v1.0.5

Updated

Oct 8, 2026

Resting-state EEG recordings from 140 Colombian young people: 74 juvenile offenders and 66 non-offender controls. Data were acquired with a 128-channel Biosemi ActiveTwo system. The dataset provides epoched and preprocessed EEG, along with spectral band-power features (delta, theta, alpha, beta) for eyes-open and eyes-closed epochs. It is intended to support the study of neurocognition in juvenile delinquency.

Participants

140

Channels

128 (other)

Size

8.13 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG dataset of 15 healthy participants performing a four-class auditory stream segregation multiclass ERP (ASME) brain-computer interface task. Two strategies for achieving four classes were compared: ASME-4stream (four streams, one target stimulus each) and ASME-2stream (two streams, two target stimuli each). P300 responses, binary classification and offline BCI simulation with linear discriminant analysis showed average accuracies of 0.83 and 0.86, respectively. NASA-TLX workload ratings were also collected.

Participants

15

Channels

64 (10-10)

Citations

5

HED

v8.4.0

Size

23.5 GB

Version

v1.0.5

Updated

Oct 8, 2026

This dataset contains 16-channel electroencephalographic recordings from 12 healthy participants who listened to harpsichord music while fixating on a visual marker, with and without a passive head-mounted display (a headset containing no electronics apart from a smartphone). Each participant completed ten one-minute eyes-open blocks, five with the smartphone switched on and five with it switched off, in randomized order. The data were collected in a pilot experiment at GIPSA-lab, Grenoble, in 2017 to assess the impact of passive VR headsets on EEG signal quality.

Participants

12

Channels

16 (10-10)

Citations

17

HED

v8.4.0

Size

516 MB

Version

v1.0.5

Updated

Aug 18, 2026

The Nencki-Symfonia EEG/ERP dataset contains high-density EEG recordings from healthy adults performing multiple cognitive tasks and a resting-state protocol. Tasks include an extended multi-source interference task (MSIT+), a three-stimulus oddball task, and a simple reaction task used as a control. The dataset is organized in BIDS format and supports studies of cognitive control, attention, and event-related potentials.

Participants

42

Channels

127 (10-05)

Citations

12

Size

77.4 GB

Version

v1.0.0

Updated

Jun 25, 2026

Open-access resting-state EEG recordings from 21 neurotypical undergraduate students at the Federal University of Paraíba, Brazil, collected before and after different study methods. Participants were randomly assigned to an active learning group (retrieval practice with feedback), a passive learning group (review of lecture notes), or a control group with no review. The dataset supports research in cognitive neuroscience, educational neuroscience, and the neural correlates of learning and memory.

Participants

21

Channels

31

Size

1.32 GB

Version

v1.0.0

Updated

Jun 29, 2026

VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.

Participants

20

Channels

128 (biosemi)

Citations

20

Size

58.2 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset contains resting-state EEG recordings from 103 normal infants (41 female, 62 male) during the first year of life. A total of 130 recordings were collected, with some infants recorded up to four times, organized into four sessions. It supports the study of normative quantitative EEG, sleep EEG, and functional connectivity during early brain development.

Participants

103

Channels

21 (10-20)

Size

653 MB

Version

v1.0.0

Updated

Jun 24, 2026

MorseEEG-ATP is a multitask EEG dataset for studying auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronized 62-channel EEG and behavioral data from 32 healthy adults performing dot-count and first-last match discrimination tasks at three presentation rates (15, 30, and 40 characters per minute). The release includes raw and minimally preprocessed EEG, event annotations, behavioral measures, and analysis scripts in an EEG-BIDS structure.

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset contains EEG and EMG recordings with expert sleep scores from 92 healthy mice, collected across five laboratories in Italy, Denmark, Switzerland, and France. It includes recordings from both light and dark phases and is intended for validating automated mouse sleep staging methods across labs.

Participants

92

Channels

1

Size

6.08 GB

Version

v1.0.0

Updated

Jun 28, 2026