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on005279
Picture-Word Interference Dataset

ANAT BEH MEG Zarr

This dataset contains magnetoencephalography (CTF MEG), structural MRI, and behavioural data from 30 healthy young adults performing a picture-word interference task. Participants covertly retrieved picture names and judged whether each name ended in a target sound while hearing distractor words that were phonologically related, semantically related, or unrelated to the picture. The data support event-related analyses time-locked to picture and response onset, as well as source localization using individual anatomical MRIs.

Participants

30

Size

58.9 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Hsi T. Wei et al. OpenNeuro ds005279
nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)

iEEG Zarr

A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.

Participants

24

Size

8.69 GB

Version

v1.0.2

Updated

Jun 29, 2026

by Petr Nejedly et al.
on004107
MIND DATA

ANAT MEG Zarr

MEG dataset collected across multiple sites as part of a study on enabling cross-site pooling of magnetoencephalography data. The recordings were converted to BIDS using MNE-BIDS and follow the MEG-BIDS specification.

Participants

9

Citations

17

Size

77.2 GB

Version

v1.0.0

Updated

Jun 23, 2026

by M.P. Weisend et al. OpenNeuro ds004107
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.
nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography

EMG Zarr

…Handwriting Recognition from EMG ## Overview **Dataset**: handwriting - Imagined handwriting from wrist-based…

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Feb 23, 2026

by Patrick Kaifosh et al.
on006374
Expectation effects on repetition suppression in nociception

BEH EEG Zarr

This dataset contains EEG recordings collected to study how expectation affects repetition suppression in nociception. It supports investigation of how the brain's responses to repeated painful stimuli are modulated by predictions about those stimuli. The data are organized in BIDS format.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Lisa-Marie Pohle et al. OpenNeuro ds006374
on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

ANAT EEG FMAP FUNC Zarr

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

by Michael Pereira et al. OpenNeuro ds002158
on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments

EEG Zarr

…sociodemographic data of participants (extraversion, emotional stability, size of the city they…

Participants

63

Channels

66 (other)

Size

34.7 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Carolina Zaehme et al. OpenNeuro ds006850
nm000134
Alljoined-1.6M

EEG Zarr

Alljoined-1.6M is a large-scale EEG dataset of neural responses to rapid serial visual presentation of natural images from the THINGS database. It was recorded with a consumer-grade 32-channel EMOTIV FLEX2 system in 20 adult participants over four sessions each, yielding more than 1.6 million trials. The dataset was built to test whether deep-learning-based brain-computer interface and semantic decoding research can be done with affordable EEG hardware.

Participants

20

Channels

32 (10-10)

Size

8.78 GB

Version

v1.0.3

Updated

Sep 23, 2026

by Jonathan Xu et al.
on003822
EEG: Probabilistic Learning with Affective Feedback: Exp #1

EEG Zarr

EEG recordings from 25 college-aged participants performing a probabilistic reinforcement learning task with affective feedback. Data were collected around 2018 in the CRCL at the University of New Mexico to examine how the Reward Positivity is influenced by affective liking of feedback. Additional scripts are included to clarify stimulus triggers and support secondary analyses.

Participants

25

Channels

66 (10-10)

Size

5.82 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Darin R. Brown et al. OpenNeuro ds003822