Discover datasets

A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.

Participants

24

Size

8.69 GB

Version

v1.0.2

Updated

Jun 29, 2026

Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.

Participants

19

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jun 17, 2026

…Logistic Regression, Minimum Distance to Mean (MDM) - **Feature extraction**: xDAWN spatial filtering…

Participants

11

Channels

64 (10-10)

Citations

10

HED

v8.4.0

Size

6.31 GB

Version

v1.0.5

Updated

Oct 8, 2026

EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.3

Updated

Oct 8, 2026

…dataset from stimulation with a short audiovisual film Full description of the…

Participants

63

Citations

10

Size

15.3 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains independent 3-second single-channel intracranial EEG (stereo-EEG) clips from St. Anne's University Hospital (FNUSA), annotated for classification of physiological and pathological graphoelements and artifactual signals. It is a BIDS conversion of the segmented .mat archives released with Nejedly et al. 2020. Clips from one subject and one SEEG contact are concatenated per run at 5000 Hz, with events preserving labels, anatomy, reviewer, seizure onset zone flag, and electrode type.

Participants

14

Size

10.8 GB

Version

v1.0.2

Updated

Jun 29, 2026

…In the Production task, participants produced either a short, medium, or long…

Participants

20

Channels

37 (10-10)

Citations

5

Size

7.21 GB

Version

v1.0.0

Updated

Jun 23, 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

…The MEG data was first preprocessed using the temporal Signal Space Separation…

Participants

12

Citations

4

Size

1.36 TB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains EEG recordings collected to study how expectation affects repetition suppression in nociception. It supports investigation of how the brain's responses to repeated painful stimuli are modulated by predictions about those stimuli. The data are organized in BIDS format.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Jun 28, 2026