Discover datasets

Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG dataset from a picture-word interference (PWI) picture-naming experiment conducted at the NeuroCognition Laboratory at San Diego State University. Participants named line drawings preceded by English distractor words that were semantically related, identical in name, or unrelated to the picture, while EEG and verbal responses were recorded. The dataset supports investigation of the neural correlates of lexical access and semantic interference during speech production.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Jun 28, 2026

EEG dataset titled 'FFR-active-listening', recorded in BrainVision format (.eeg/.vhdr/.vmrk) with accompanying BIDS metadata files (.json, .tsv, .csv). The title suggests a focus on frequency-following responses during active listening. The dataset comprises 249 files (226 GB). Detailed information on participants, tasks, stimuli, and acquisition parameters is not provided in the available documentation.

Participants

41

Channels

64 (10-10)

Size

222 GB

Version

v1.0.0

Updated

May 25, 2026

A multi-modal neuroimaging dataset combining structural MRI (T1w), magnetoencephalography (MEG), and EEG recorded during electrical median nerve stimulation at the right wrist. Participants responded to each stimulus by lifting the left index finger as quickly as possible, allowing study of somatosensory and motor responses. Anatomical fiducials were digitized to align MEG with MRI, and event triggers mark stimuli and finger-lift responses.

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Jun 28, 2026

Multimodal dataset of 31 participants watching five short educational videos while EEG, ECG, EOG, gaze, pupil size, blinks, saccades, and head motion were recorded. Each participant completed an attentive session, in which factual questions followed each video, and a distracted session, in which they silently counted backwards. Experiment 2 uses an incidental learning design, so participants did not know in advance that they would be tested. Questionnaire data, including stimulus-related questions and the ASRS adult ADHD checklist, are included.

Participants

31

Channels

64 (10-10)

Size

5.25 GB

Version

v1.0.0

Updated

Jun 3, 2026

Derivative stereo-EEG dataset of high-frequency activity (HFA, 70-150 Hz) recorded from six patients with depth electrodes performing an approach-avoidance decision task. It supports analysis of the differential contributions of medial and lateral orbitofrontal cortex to decision-making under conflict. The data are the authors' processed HFA, epoched per trial and aligned to trial onset and decision, and are accompanied by per-trial behavioural data and artifact-review labels.

Participants

6

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 32 participants performing motor imagery of sit-to-stand and stand-to-sit movements, collected in offline and online brain-computer interface (BCI) phases. Signals were recorded from 17 channels (10-20 placement) at 250 Hz while visual cues on a screen guided motor imagery and idle-state trials. Offline data were used to train machine learning models that then provided real-time task detection in the online phase.

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jun 20, 2026

An EEG dataset of a perception and mental imagery task. Participants viewed an image for 6 seconds in response to an auditory prompt, then closed their eyes and imagined the same image for 6 seconds. A further prompt sound started the next trial. The recordings can be used to study neural correlates of visual perception versus imagery and to develop decoding methods.

Participants

3

Channels

65 (10-10)

Size

4.23 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG dataset from the PROTEUS brain-computer interface (BCI) project in Bordeaux, released for the EEG/EMG Foundation Challenge 2026 (Track 02). It contains recordings from 10 participants across 14 sessions (112 runs) performing three cued mental tasks: kinesthetic motor imagery, mental subtraction and word generation. Runs include resting baselines, calibration runs with sham feedback and online runs with real feedback, using Graz and BrainHero interfaces.

Participants

10

Channels

41 (10-10)

Size

1.48 GB

Version

v1.0.0

Updated

Oct 1, 2026