Discover datasets

nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1

BEH

Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.

Participants

27

Size

881 MB

Version

v1.0.0

Updated

Jun 17, 2026

by Jens Madsen et al.
nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3

BEH EEG Zarr fidelity issue

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

by Jens Madsen et al.
nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4

BEH EEG Zarr

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

by Jens Madsen et al.
on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding

EEG Zarr

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

by Kim et al. OpenNeuro ds007964
nm000403
Face-selective ventral occipito-temporal responses to fast periodic visual stimulation, SEEG (Jonas et al., 2016) (derivative)

iEEG

…natural object images at 6 Hz with faces as every fifth image…

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Jacques Jonas et al.
nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2

BEH EEG Zarr fidelity issue

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

by Jens Madsen et al.
nm000357
Movie watching and recognition memory: depth-electrode macro iEEG from Keles et al. 2024 (DANDI 000623)

iEEG

…Recording CS53/P53CSR2 has 35 trial rows (1 encoding + 34 recognition) instead…

Participants

16

Size

34.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Umit Keles et al.
on004196
Bimodal dataset on Inner speech

ANAT EEG FMAP FUNC Zarr fidelity issue

…The recognition of inner speech, which could give a `voice' to patients…

Participants

4

Channels

64 (10-10)

Citations

21

Size

9.33 GB

Version

v1.0.0

Updated

Jun 23, 2026

by Foteini Liwicki et al. OpenNeuro ds004196
on007688
The Temporal Sequence of Party Leader Incongruence

EEG Zarr

…Just Faces Task (Identity Incongruence) * **Goal**: To measure automatic neural responses to…

Participants

44

Channels

65

Size

13.4 GB

Version

v1.0.0

Updated

Jun 19, 2026

by Gustavo Couto de Jesus et al. OpenNeuro ds007688
nm000291
Pan2023: Cross-session motor imagery dataset from Pan et al. 2023

EEG

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

by Lincong Pan et al.