Discover datasets

A BIDS-packaged derivative dataset of electrocorticography (ECoG) high-frequency activity (HFA, 70-150 Hz) recorded from 29 patients with pharmacoresistant epilepsy while they passively listened to Pink Floyd's 'Another Brick in the Wall, Part 1'. It provides the authors' preprocessed HFA at 100 Hz aligned to the 190.72 s song, together with electrode coordinates in MNI space and flags for noisy or epileptic channels. The raw ECoG recordings and the stimulus audio are not included. The dataset supports studies of music perception and stimulus reconstruction from human auditory cortex.

Participants

29

Size

568 MB

Version

v1.0.0

Updated

Oct 8, 2026

A pediatric steady-state visual evoked potential (SSVEP) brain-computer interface dataset recorded from 47 healthy children and adolescents aged 5-18 years. Each participant completed a stimulus personalization and comfort-rating procedure, then played an online four-target SSVEP-controlled game with both a personalized and a standard high-contrast stimulus. The 16-channel EEG recordings are provided in BIDS format with HED event annotations.

Participants

41

Channels

16 (10-10)

HED

v8.4.0

Size

1.73 GB

Version

v1.0.0

Updated

Oct 8, 2026

Scalp video-EEG recordings from 14 adults with epilepsy, acquired at the Unit of Neurology and Neurophysiology of the University of Siena, Italy. The dataset comprises about 128 hours of recording at 512 Hz using the 10-20 system, with ECG channels and 47 annotated seizures. It is a BIDS curation of the PhysioNet Siena Scalp EEG Database, collected for developing patient-specific seizure prediction and monitoring devices.

Participants

14

Channels

29 (other)

Size

40.6 GB

Version

v1.0.0

Updated

Oct 8, 2026

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