Discover datasets

EEG recordings from six healthy participants performing imagined speech of long words, comprising two word classes (cooperate and independent), with 64 channels recorded at 256 Hz. Trials were cued by auditory beeps and visual cues, and the data were analyzed with Riemannian manifold covariance features and relevance vector machines for brain-computer interface classification. The dataset is re-hosted in BIDS format from the MOABB benchmark collection.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003822-blue…

Participants

25

Channels

66 (10-10)

Size

5.82 GB

Version

v1.0.0

Updated

Jun 22, 2026

…By jointly manipulating task rules and presentation rate, the dataset supports comparative…

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants. In one session, EEG was recorded during a food categorisation task in which participants judged images as healthy, tasty, or something they were willing to eat. In a second session, participants completed a food go/no-go task, a paired choice task, and questionnaires on dietary style and motivation. The dataset also includes raw and cleaned EEG data and normative ratings of the food stimuli from online samples.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Jun 29, 2026

…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Feb 23, 2026

Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.

Participants

20

Size

429 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Value Twelve participants completed three learning tasks. In each task the goal…

Participants

12

Channels

31 (10-10)

Citations

2

Size

4.00 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset provides intracranial EEG recordings and behavioral events from a cued recall paired-associates memory task with open-loop electrical stimulation. Participants studied word pairs, completed an arithmetic distractor, and then performed cued recall. Stimulation was delivered to single hippocampal or entorhinal electrodes during either encoding or retrieval. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Feb 23, 2026

This dataset provides multicenter intracranial EEG (iEEG) clips for classification of physiological and pathological graphoelements and artifactual signals. It was converted to BIDS from the public segmented .mat archives released with Nejedly et al. 2020. Each run concatenates independent 3 s single-channel clips from one subject and one SEEG contact sampled at 5000 Hz, with events preserving labels, anatomy, reviewer ID, SOZ flag, and electrode type.

Participants

24

Size

8.69 GB

Version

v1.0.4

Updated

Oct 16, 2026