Discover datasets

A mobile EEG motor imagery dataset from two pilots, one tetraplegic and one able-bodied, recorded during development of the neuroTUM brain-computer interface for the 2024 Cybathlon BCI race. Data were acquired with a 24-channel wireless Smarting mobi system at 250 Hz using an arrow-cue paradigm with subject-specific sets of three mental tasks (rest, hand and/or foot motor imagery). The dataset is re-released in BIDS format with HED annotations via MOABB.

Participants

2

Channels

24 (10-10)

HED

v8.4.0

Size

408 MB

Version

v1.0.0

Updated

Oct 8, 2026

…Kaifosh et al., 2025 - "A generic non-invasive neuromotor interface for human…

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Feb 23, 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

…labs: - Department of Biomedical and Neuromotor Sciences, Università di Bologna, Italy. - Center…

Participants

92

Channels

1

Size

6.08 GB

Version

v1.0.0

Updated

Jun 28, 2026

A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

…calibration runs with sham feedback (Graz and BrainHero interfaces). - `OnlineRawGraz`, `OnlineRawBH` (two…

Participants

10

Channels

41 (10-10)

Size

1.48 GB

Version

v1.0.0

Updated

Oct 1, 2026

A multi-modal dataset of 32-channel dry-electrode EEG recorded together with Virtual Glove hand-kinematic tracking during motor imagery and motor execution of three right-hand movements (open/close, wrist rotation, finger tapping). Eleven healthy participants completed a rest, motor imagery, motor execution sequence with eight repetitions of the triplet. This BIDS re-release was produced via MOABB from the published MOVING dataset.

Participants

11

Channels

32 (10-10)

HED

v8.4.0

Size

411 MB

Version

v1.0.0

Updated

Oct 8, 2026

…Non-binary m-sequences for more comfortable brain-computer interfaces based on…

Participants

16

Channels

16 (10-05)

Citations

28

HED

v8.4.0

Size

1.71 GB

Version

v1.0.5

Updated

Oct 8, 2026

This dataset contains intracranial EEG (stereo-EEG) recordings acquired during 41 high-frequency electrical cortical stimulations that evoked negative motor responses. Data come from 23 patients undergoing presurgical evaluation for drug-resistant epilepsy. Each recording spans about 24 seconds around a stimulation and includes pre- and post-stimulation 5-second epochs, which were used for connectivity analysis. Stimulation contact pairs, current intensities and evoked effects are annotated in the events files.

Participants

21

Size

1.04 GB

Version

v1.0.0

Updated

Jun 29, 2026

…a challenge for brain-computer interfaces (BCIs). A shortcoming of the available…

Participants

4

Channels

64 (10-10)

Citations

21

Size

9.33 GB

Version

v1.0.0

Updated

Jun 23, 2026