Discover datasets

Resting-state (eyes-closed and eyes-open) and auditory oddball P300 task EEG recordings from patients with Major Depressive Disorder and healthy control participants. Data were recorded with a 19-channel 10-20 system at 256 Hz to support research on neurophysiological biomarkers of depression and on differences in attentional processing. This BIDS version was converted from the original figshare deposit.

Participants

64

Channels

22 (10-20)

Citations

173

Size

812 MB

Version

v1.0.0

Updated

Mar 14, 2026

EEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.

Participants

15

Channels

64 (10-10)

Size

585 MB

Version

v1.0.0

Updated

Mar 14, 2026

Scalp EEG recordings from 36 healthy university students during eyes-closed rest and a serial-subtraction mental arithmetic task. The dataset supports study of EEG correlates of cognitive workload and mathematical cognition, with applications in mental workload assessment and brain-computer interfaces. Participants were split post hoc into good and bad counters based on the number of completed subtractions. This BIDS version was converted from the PhysioNet release.

Participants

36

Channels

20 (10-20)

Citations

89

Size

174 MB

Version

v1.0.0

Updated

Mar 14, 2026

ERP CORE (Compendium of Open Resources and Experiments) is an open resource of raw EEG recordings from 40 neurotypical adults performing six optimized task paradigms. The paradigms elicit seven widely used ERP components: N170, MMN, N2pc, N400, P3, LRP and ERN. The dataset includes event code schemes, task stimuli for the N170, MMN and N400 paradigms, and participant demographics.

Participants

40

Channels

30 (10-10)

Citations

162

HED

v8.4.0

Size

17.5 GB

Version

v1.1.1

Updated

Apr 4, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 2026

The Finer-grained Affective Computing EEG Dataset (FACED) contains 32-channel scalp EEG from 123 healthy participants who watched 28 emotion-eliciting video clips targeting nine emotion categories (four negative, four positive, and neutral). Participants gave self-reported ratings on 12 dimensions, including discrete emotions, valence, arousal, liking, and familiarity. The dataset supports cross-subject affective computing and the development of EEG-based emotion recognition algorithms. This version is converted to BIDS with events annotated by video and emotion labels.

Participants

123

Channels

32 (10-10)

Citations

94

Size

31.4 GB

Version

v1.1.3

Updated

May 29, 2026

The CHB-MIT Scalp EEG Database contains continuous scalp EEG recordings from pediatric patients with intractable epilepsy, collected at Children's Hospital Boston. Subjects were monitored for days after anti-seizure medication withdrawal to characterize seizures and assess candidacy for surgical intervention. The recordings include 198 annotated seizures, sampled at 256 Hz on the 10-20 system with bipolar montages. This version is a BIDS conversion of the original PhysioNet data, with seizure onset and offset annotations provided as events.

Participants

24

Channels

23 (other)

Citations

48

Size

42.6 GB

Version

v1.0.1

Updated

Mar 11, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

A multi-subject, multi-modal neuroimaging dataset on face processing, combining structural MRI, functional MRI, MEG and EEG from the same participants. Participants viewed famous, unfamiliar and scrambled faces, with initial, immediate-repeat and delayed-repeat presentations. This BIDS release is a 16-subject subset of the original 19-subject study, intended for multimodal integration and methods development.

Participants

17

Citations

82

Size

169 GB

Version

v1.0.0

Updated

Mar 8, 2026

This dataset contains longitudinal resting-state EEG recordings from 43 healthy adults across four sessions spanning about two years, with an average inter-session interval of 7.2 months. It was collected to evaluate the test-retest reliability of EEG measures processed with an automated pipeline combining independent component analysis and wavelet-enhanced artifact removal. The data support analyses of neural components, relative power in regions of interest, and the longitudinal stability of quantitative EEG.

Participants

45

Channels

58 (10-10)

Citations

5

Size

21.1 GB

Version

v1.0.0

Updated

Mar 8, 2026