Discover datasets

EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.

Participants

15

Channels

61 (10-05)

Citations

93

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains 64-channel EEG recorded at 1000 Hz from 31 healthy participants performing a row/column P300 speller task with 4L and 5L grid sizes. Each participant completed three sessions. It is the P300 component of a multimodal eye-BCI collection that also includes eye-tracking and high-speed video for analyzing ocular activity across BCI paradigms. Events are annotated with HED tags as Target and NonTarget flashes.

Participants

31

Channels

62 (10-10)

Citations

13

HED

v8.4.0

Size

40.7 GB

Version

v1.0.4

Updated

Oct 8, 2026

A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.

Participants

14

Channels

28 (10-10)

HED

v8.4.0

Size

1018 MB

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

TX17 is an EEG dataset formatted according to BIDS with HED annotations, contributed by Johnson, Gordon, Touryan, and King. The README describes it only as a placeholder, so no further details on the experimental paradigm or participants are provided. It is a NEMAR-hosted copy of an OpenNeuro deposit.

Participants

1

Channels

64 (10-10)

HED

v8.1.0

Size

79.2 MB

Version

v1.0.0

Updated

May 13, 2026

A multi-modal neuroimaging dataset combining structural MRI (T1w), magnetoencephalography (MEG), and EEG recorded during electrical median nerve stimulation at the right wrist. Participants responded to each stimulus by lifting the left index finger as quickly as possible, allowing study of somatosensory and motor responses. Anatomical fiducials were digitized to align MEG with MRI, and event triggers mark stimuli and finger-lift responses.

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.

Participants

8

Citations

6

Size

14.5 GB

Version

v1.0.0

Updated

Jun 24, 2026

A longitudinal motor imagery EEG dataset from 18 BCI-naive participants recorded across six sessions (one offline, five online) with 22 EEG channels at 512 Hz. It supports the study of transfer learning for brain-computer interface skill acquisition, comparing unsupervised Generic Recentering and supervised Personally Assisted Recentering for calibration-free training. Participants performed left/right hand motor imagery with continuous visual feedback.

Participants

18

Channels

22 (10-10)

Citations

53

HED

v8.4.0

Size

14.4 GB

Version

v1.0.5

Updated

Oct 8, 2026