Discover datasets

A single-session EEG dataset of left- versus right-hand motor imagery recorded from 55 healthy, BCI-naive participants using a 16-channel g.Nautilus system at 250 Hz. Each participant completed one calibration run without feedback and three feedback runs, for 160 trials in total. The data were collected to examine psychological and cognitive predictors of motor-imagery brain-computer interface performance. This BIDS release was converted from the original DataverseNL deposit via MOABB.

Participants

55

Channels

16 (10-10)

HED

v8.4.0

Size

5.30 GB

Version

v1.0.0

Updated

Oct 8, 2026

A four-class motor imagery EEG dataset (ZJU-MI-EEG / MI4) from 15 healthy participants performing cued imagery of left hand, right hand, tongue, and both feet movements. Data were recorded with 62 channels at 256 Hz across two days, each with a calibration run and an online visual-feedback run. This BIDS release was produced via MOABB from the published source data for brain-computer interface research.

Participants

15

Channels

62 (10-10)

HED

v8.4.0

Size

5.33 GB

Version

v1.0.0

Updated

Oct 8, 2026

A multichannel EEG dataset of self-paced (freewill) reach-and-grasp movements recorded from 23 healthy right-handed participants across 49 sessions. On each of 6808 trials the participant freely chose one of four cups, two filled with water and two empty, and decided when to move. Recordings were made at 250 Hz with a 31-channel scalp EEG montage plus EOG and auxiliary channels, to support brain-machine interface research on natural motor execution.

Participants

23

Channels

31 (10-10)

HED

v8.4.0

Size

2.53 GB

Version

v1.0.0

Updated

Oct 8, 2026

NeBULA2025 is a high-density EEG (127 channels) and surface EMG dataset recorded from 39 healthy adults performing a standardized right-arm reaching task toward one of three illuminated targets. The task was performed under three robotic assistance levels (free, low, high), supporting research into neuromechanical biomarkers for upper limb assessment. This BIDS release was reformatted via MOABB from the originally published data.

Participants

39

Channels

127 (10-05)

HED

v8.4.0

Size

9.07 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 10 healthy participants performing kinesthetic motor imagery of gait while walking on flat ground with a fully assisted lower-limb exoskeleton. Trials alternate motor imagery with relaxation and a regressive-count distractor task, cued by auditory stimuli. Data were recorded with 27 EEG and 4 EOG channels as part of the DECODED EUROBENCH sub-project and re-released in BIDS format via MOABB.

Participants

10

Channels

27 (10-10)

HED

v8.4.0

Size

3.78 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 8 healthy participants performing self-initiated reaching movements with either the right arm alone (unilateral) or both arms synchronously (bilateral). Data were recorded with a 64-channel wireless active-electrode system and support research on movement intention recognition for exoskeleton-supported stroke rehabilitation. This BIDS re-release was generated via MOABB from the original Zenodo deposit.

Participants

8

Channels

64 (10-10)

HED

v8.4.0

Size

1.49 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

A multi-paradigm motor-imagery EEG dataset recorded from healthy participants at Inner Mongolia University. It covers five body-part tasks (hand, foot, thumb, index finger, index-thumb pinch) with left/right laterality, performed under a Classic Arrow paradigm and a Cue-Execution dual-stage paradigm. This BIDS release is a public five-subject sample of a 244-participant dataset, recorded with a 64-channel Neuroscan system at 1000 Hz.

Participants

5

Channels

64 (10-10)

HED

v8.4.0

Size

3.25 GB

Version

v1.0.0

Updated

Oct 8, 2026

A closed-loop EEG dataset of one-dimensional left/right motor imagery cursor control recorded from 10 healthy participants using a 16-channel dry-electrode system. Participants imagined left- or right-hand movement to drive a cursor toward a target under continuous visual feedback, completing 11 runs of 24 trials each while online control parameters were varied. The data support research on sensorimotor rhythm-based brain-computer interfaces and closed-loop decoding.

Participants

10

Channels

16 (other)

HED

v8.4.0

Size

879 MB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026