Discover datasets

EEG recordings from 8 healthy participants performing cue-based motor imagery of the right hand, feet, and rest, with 20 trials per class. The data were collected for the PhD thesis of A. Barachant on robust control of an effector through an asynchronous EEG brain-machine interface, and correspond to Step B (cue-based imagery without feedback) of the Brain Switch campaign. They are intended for familiarization and algorithm development, including Riemannian geometry and CSP-based classification.

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005565-blue…

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Jun 27, 2026

MEG dataset in which participants viewed numbers, letters, and false fonts, presented either as single items or as strings. The experiment has two runs, single-item and string presentation, with trigger codes marking each stimulus category. The dataset can be used to study visual processing of numeric versus alphabetic symbols.

Participants

25

Size

310 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Participant IDs are de-identified (sequential sub-NN); the mapping to original…

Participants

30

Channels

14 (10-10)

Size

23.4 MB

Version

v1.0.0

Updated

Jun 30, 2026

A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.

Participants

29

Channels

9 (10-20)

HED

v8.4.0

Size

800 MB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings acquired to identify site- and stimulation-specific TMS-evoked potentials. It accompanies a study that applied a quantitative cosine similarity metric to distinguish TMS-evoked EEG responses across stimulation sites and conditions. The data are mirrored on NEMAR from OpenNeuro (ds001849).

Participants

20

Channels

30 (10-10)

Size

44.5 GB

Version

v1.0.0

Updated

Jun 20, 2026

…23.1, 30.1), after mapping, a 32-channel Pt/Ir microwire…

Participants

14

Size

2.74 GB

Version

v1.0.0

Updated

Oct 8, 2026

…Feedback | The full numeric→label mapping used by the preprocessing pipeline (e…

Participants

99

Channels

72 (10-10)

Size

72.1 GB

Version

v1.0.0

Updated

May 27, 2026

This dataset contains simultaneously recorded scalp EEG and intracranial EEG (depth electrodes) from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Encoding, maintenance, and recall are temporally separated. It includes electrode MNI coordinates with anatomical labels, trial-level behavioral information, and LCMV beamforming-reconstructed virtual sensor data for several cortical regions. The data support studies of working memory, connectivity, and replay of memory items.

Participants

15

Channels

19 (10-20)

Citations

47

Size

11.9 GB

Version

v1.0.0

Updated

Jun 25, 2026

…code, and names of the languages the participants reported to speaking and…

Participants

127

Channels

27

Citations

8

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026