Discover datasets

This dataset contains EEG recordings from deaf readers who read sentences containing semantic and syntactic violations, used to assess sensitivity to semantic and syntactic information during reading. Event-related potentials were recorded while participants viewed 180 sentences presented word by word, including subject-verb agreement, semantic, double, and word-order violations alongside correct control sentences.

Participants

62

Channels

32 (10-10)

Citations

4

Size

8.53 GB

Version

v1.0.0

Updated

Jun 26, 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

EEG recordings from 24 participants viewing static images of moving and non-moving, natural and artificial objects. The study tests whether capacity for movement is an organisational principle in object representations, separate from aliveness or animacy. Participants completed a speeded classification task and a passive rapid serial visual presentation task. The dataset includes raw BrainVision data, preprocessed derivatives, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

3

Size

80.7 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG and behavioral dataset from a prolonged simulated driving study in which participants completed two 45-minute driving sessions with lateral perturbations and auditory cues. Cues were either random or predictive of perturbation onset. The study was designed to identify driver fatigue biomarkers from EEG and to compare them with objective driving performance measures. Data are in BIDS format and include EEG, eye tracking and vehicle logs.

Participants

17

Channels

64 (10-10)

Citations

27

HED

v8.0.0

Size

20.4 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG dataset from Experiment 1 of a study on whether capacity for movement is an organisational principle in visual object representations. Twenty-four participants viewed images of moving or non-moving, natural or artificial objects, completing a time-pressured aliveness classification task and a passive RSVP viewing task with a fixation-colour detection response. The release includes raw BrainVision EEG, preprocessed EEGLAB and CoSMoMVPA data, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

18

Size

82.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains scalp EEG recordings from 22 participants who played BrainForm, a gamified P300 event-related potential brain-computer interface built for scalable data collection with consumer hardware and a minimal setup. Participants completed repeated runs of a P300 spelling/selection task at two task complexities. The data support study of BCI skill acquisition across sessions and of how different visual stimulation textures affect perception and performance.

Participants

22

Channels

8 (10-10)

HED

v8.4.0

Size

237 MB

Version

v1.0.6

Updated

Aug 20, 2026

Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 3, 2026

A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

A visual event-related potential dataset of 124-channel EEG recorded from 10 healthy participants viewing photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, inanimate object). It contains 5,184 trials, with 72 images per category shown for 500 ms with a 750 ms interstimulus interval. The data support research on neural object representations through single-trial EEG classification and representational similarity analysis, and are distributed in BIDS format via MOABB.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026