Discover datasets

EEG recordings from 9 healthy, BCI-naive participants performing two-class motor imagery (left vs. right hand), originally released as BCI Competition 2008 (IV) Graz data set B (Dataset 2b). Each participant completed five sessions: two screening sessions without feedback and three sessions with smiley visual feedback. Three bipolar EEG channels (C3, Cz, C4) and three EOG channels were recorded at 250 Hz.

Participants

1

Channels

3 (10-20)

Citations

83

HED

v8.4.0

Size

478 MB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from fourteen healthy participants performing a covert spatial attention task across three sessions. The study tested real-time feedback of alpha power lateralization (α-LI) versus sham feedback in a single-blinded crossover design. It examined whether such neurofeedback leads to behavioral improvements in attention.

Participants

14

Channels

64 (10-10)

Size

10.1 GB

Version

v1.0.0

Updated

Jun 21, 2026

Electrophysiological dataset recorded from the amygdalae of nine epilepsy patients undergoing preoperative invasive monitoring in the mesial temporal lobe. Participants viewed dynamic visual sequences of fearful faces (aversive condition) interleaved with neutral landscapes (neutral condition). The dataset provides intracranial EEG in BIDS format, together with neuronal spike times and waveforms in NIX format, enabling study of amygdalar responses to aversive stimuli from macroscopic field potentials to single-neuron firing.

Participants

9

Citations

24

Size

297 MB

Version

v1.0.0

Updated

Jun 21, 2026

A multi-day EEG dataset for motor imagery brain-computer interface (MI-BCI) research collected at Shanghai University (WBCIC-SHU). It contains recordings from 51 healthy, BCI-naive participants who performed left- and right-hand motor imagery over three sessions on different days. A subset of 11 participants also performed a three-class paradigm that adds foot-hooking imagery. Recordings were made with a 59-channel EEG system and the dataset is accompanied by benchmark classification results using CSP, FBCSP, EEGNet, deepConvNet and FBCNet.

Participants

51

Channels

59 (10-10)

Citations

44

HED

v8.4.0

Size

154 GB

Version

v1.0.5

Updated

Aug 18, 2026

EEG recordings from 21 participants performing an offline auditory spatial oddball task for a multi-class brain-computer interface (AMUSE). Five frontal speakers presented unique auditory stimuli under three conditions that varied inter-stimulus interval and speaker configuration, and participants attended to target directions. The data were used to evaluate P300-based spelling and communication paradigms, and are distributed here in preprocessed form through MOABB.

Participants

21

Channels

60 (10-10)

Citations

91

HED

v8.4.0

Size

16.5 GB

Version

v1.0.3

Updated

Oct 8, 2026

A placeholder EEG dataset named FT, formatted according to BIDS with HED annotations. The README provides no further information about the experimental paradigm, participants, or recording setup. The dataset 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

This dataset is a BIDS-formatted derivative of Study M from the bigP3BCI collection, a large open P300-based brain-computer interface resource. It contains 16-channel EEG recorded at 256 Hz from 21 participants using a 9x8 character speller grid with adaptive and checkerboard stimulus paradigms. Target and non-target events are annotated with HED tags, supporting machine-learning work on P300 speller classification.

Participants

21

Channels

16 (10-10)

Citations

2

HED

v8.4.0

Size

2.38 GB

Version

v1.0.2

Updated

Aug 18, 2026