Discover datasets

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

EEG dataset investigating the neural time course of spontaneous face perception, including face pareidolia. Participants viewed 300 images of human faces, illusory faces, and matched non-face objects presented centrally at 3.75 Hz while performing an orthogonal target detection task. The study also involved behavioural tasks (odd-one-out dissimilarity, face-likeness ratings, and face/object categorisation) using the same stimuli.

Participants

21

Citations

1

Size

32.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.

Participants

20

Channels

24 (10-10)

Size

1.15 GB

Version

v1.0.0

Updated

May 13, 2026

Electrophysiological dataset recorded from the amygdalae of nine epilepsy patients undergoing preoperative invasive monitoring in the mesial temporal lobe. Participants viewed dynamic visual sequences of fearful faces (aversive condition) interleaved with neutral landscapes (neutral condition). The dataset provides intracranial EEG in BIDS format, together with neuronal spike times and waveforms in NIX format, enabling study of amygdalar responses to aversive stimuli from macroscopic field potentials to single-neuron firing.

Participants

9

Citations

24

Size

297 MB

Version

v1.0.0

Updated

Jun 21, 2026

High-density EEG recorded from resting, eyes-closed participants who used voice-guided imagery to enter 15 distinct emotional states, including positive states such as joy and negative states such as sadness and anger. Participants pressed a button when they began to feel the target emotion and again when the feeling waned, with relaxation instructions between the imagery periods. The dataset supports research on EEG-based emotion recognition and brain state dynamics during emotion imagination.

Participants

34

Channels

224 (biosemi)

Citations

73

Size

36.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings from 31 participants performing a third-party moral judgment task embedded in a semantic congruency (N400) paradigm. Participants heard scenarios describing intentional or accidental harm and judged whether a final target word was congruent with the scenario. Agent intention and semantic congruency were manipulated orthogonally to examine the cognitive conflict triggered by moral judgment of accidental harm.

Participants

31

Channels

32

Size

3.79 GB

Version

v1.0.0

Updated

Jun 25, 2026

Experiment 4 of the Brain, Body, and Behavior Dataset (BBBD) contains multimodal recordings from 43 participants who watched short educational videos across two sessions. In Session 1 (attentive), participants watched instructional videos with focus. Participants were instructed to watch 3 videos in one attentive condition and 3 different videos in a second attentive condition, and were tested on the videos in the second condition, answering 11 to 12 factual multiple-choice questions after each video. In Session 2 (distracted), the videos were repeated while participants silently counted backwards, and no questions were asked. EEG, EOG, ECG, respiration, pupil size, gaze, and head position were recorded, along with questionnaires including the ASRS adult ADHD checklist.

Participants

43

Citations

4

Size

5.12 GB

Version

v1.0.0

Updated

Jun 17, 2026

This dataset provides test-retest EEG recordings from 60 participants across three experimental sessions. It includes resting states (eyes closed, eyes open) and cognitive states (subtraction, music, memory). Recordings are accompanied by measures of sleep, emotion, mental health, and mind-wandering.

Participants

60

Channels

61 (10-10)

Citations

23

Size

93.2 GB

Version

v1.0.0

Updated

Jun 23, 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

This dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.

Participants

18

Channels

70 (other)

Citations

84

Size

4.31 GB

Version

v1.0.0

Updated

May 25, 2026