Discover datasets

This dataset contains EEG recordings from 9 healthy subjects performing cued motor imagery of left hand, right hand, feet, and tongue movements, known as BCI Competition IV Dataset 2a. Each subject completed two sessions of six runs, with 22 EEG and 3 EOG channels sampled at 250 Hz. It is widely used as a benchmark for multi-class motor imagery classification in brain-computer interface research.

Participants

9

Channels

22 (10-10)

Citations

89

HED

v8.4.0

Size

1.38 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from 9 healthy, BCI-naive participants performing two-class motor imagery (left vs. right hand), originally released as BCI Competition 2008 (IV) Graz data set B (Dataset 2b). Each participant completed five sessions: two screening sessions without feedback and three sessions with smiley visual feedback. Three bipolar EEG channels (C3, Cz, C4) and three EOG channels were recorded at 250 Hz.

Participants

1

Channels

3 (10-20)

Citations

83

HED

v8.4.0

Size

478 MB

Version

v1.0.3

Updated

Oct 8, 2026

High-density surface EMG (HDsEMG) recordings from the right tibialis anterior of a single healthy participant performing submaximal isometric ankle dorsiflexions at 10 to 70 percent of maximal voluntary contraction. Signals were acquired with two 64-electrode arrays (128 electrodes total) alongside force measurements. The dataset includes labeled motor unit spike trains derived from concurrent invasive EMG, and supports motor unit decomposition research.

Participants

1

Size

1.34 GB

Version

v1.0.1

Updated

Jun 1, 2026

…while recordings done with the Medtronic system are estimated through testing to…

Participants

9

Size

12.2 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains 62-channel EEG recorded at 500 Hz from 15 healthy participants across two sessions. It combines resting-state recordings with three difficulty levels (easy, medium, difficult) of the MATB-II multitasking paradigm, and was designed for passive brain-computer interface research on cross-session mental workload estimation. The BIDS version is a MOABB-derived conversion of the COG-BCI database, with HED event annotations.

Participants

15

Channels

61 (10-10)

Citations

70

HED

v8.4.0

Size

1.22 GB

Version

v1.0.0

Updated

Jun 2, 2026

…capture neural activity manifest in perception, cognition, and action, in neurotypical young…

Participants

127

Channels

27

Citations

8

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026

A large EEG database from 87 healthy participants recorded during a single-day motor imagery brain-computer interface (BCI) experiment. The data are organized into three datasets (A, B, C) that share one Graz-protocol task, left- versus right-hand motor imagery, with 240 trials per participant (over 20,800 trials in total). It also provides demographic, personality and cognitive-trait information, which supports studies of how user profiles relate to BCI performance and cross-user classification algorithms.

Participants

87

Channels

27 (10-10)

Citations

44

HED

v8.4.0

Size

15.8 GB

Version

v1.0.5

Updated

Oct 6, 2026

EEG recordings from 12 healthy participants performing three-class motor imagery of the same upper extremity: rest, hand grasping, and elbow flexion. Each participant completed 4 sessions of 20 trials per class, recorded with a 32-channel EGI HydroCel net at 1000 Hz. The dataset supports research on brain-computer interface classification of imagined movements within one limb, for example for rehabilitation and motor control.

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006171-blue…

Participants

36

Channels

128 (10-05)

Citations

8

Size

67.8 GB

Version

v1.0.0

Updated

Jun 28, 2026

High-density (256-channel) EEG recordings from a visual oddball selective attention task collected in 2004 at the Swartz Center for Computational Neuroscience, UCSD. The dataset extends an earlier 32-channel corpus using the same experimental paradigm, and adds scanned electrode positions and anatomical MRI to allow precise source localization. Events are annotated with HED tags.

Participants

2

Channels

256 (biosemi)

HED

v8.0.0

Size

1.33 GB

Version

v1.0.2

Updated

May 26, 2026