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on004019
Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study

EEG Zarr

This dataset contains 128-channel EEG recordings from sixty-two obese and non-obese preteens performing a delayed-verification arithmetic task. It supports investigation of how obesity relates to arithmetic processing, as indexed by event-related potentials, in children with high and low math skills. Participant information includes age, gender, body mass index, and task performance.

Participants

62

Channels

128 (egi-geodesic)

Citations

4

Size

17.3 GB

Version

v1.0.0

Updated

Jun 23, 2026

by Graciela C. Alatorre-Cruz et al. OpenNeuro ds004019
nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)

EEG Zarr fidelity issue

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

by Blair Kaneshiro et al.
on007615
LDAEP and resting-state EEG in healthy women

EEG Zarr

EEG recordings from 69 healthy women (aged 19-40) collected at the Department of Psychology, University of Oslo, to study the relationship between hormonal contraceptive use and central serotonergic activity indexed by the loudness dependence of auditory evoked potentials (LDAEP). Each participant completed eyes-closed and eyes-open resting-state recordings, and 54 also completed an LDAEP auditory paradigm. Phenotype data cover hormonal contraceptive use, menstrual cycle phase, depressive symptoms (BDI-II), impulsivity (UPPS-P), and lifestyle factors.

Participants

69

Channels

64 (10-10)

Citations

1

Size

34.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Henrik Normannseth et al. OpenNeuro ds007615
on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification

EEG Zarr

EEG dataset accompanying the PLOS ONE article 'Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification' (Henao Isaza, Aguillon, Tobón Quintero, Lopera, & Ochoa Gómez, 2026). The recordings support a methodology for enriching samples in biomarker studies that classify Alzheimer's disease risk from EEG features. Data are stored in BIDS format (BrainVision .vhdr/.eeg/.vmrk files with accompanying metadata) and released under a CC0 license.

Participants

44

Channels

58 (10-10)

Citations

1

Size

13.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Verónica Henao Isaza et al. OpenNeuro ds007427
nm000211
RSVP ERP dataset for authentication from Zhang et al 2025

EEG Zarr

A longitudinal EEG dataset of event-related potentials recorded with a rapid serial visual presentation (RSVP) paradigm for EEG-based identity authentication. Fifteen healthy participants viewed streams of face images, with their own face as the target and AI-generated faces as non-targets, across four sessions spanning about 200 days. Recordings used 57 channels at 1000 Hz. The data support research on P300-based target detection and biometric authentication.

Participants

15

Channels

57 (10-10)

Citations

5

HED

v8.4.0

Size

57.0 GB

Version

v1.0.3

Updated

Oct 8, 2026

by Yufeng Zhang et al.
nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from

EEG Zarr

EEG recordings from an online brain-computer interface study with twelve healthy participants using a visual matrix P300 speller. Three fully unsupervised decoding methods were compared: learning from label proportions (LLP), expectation-maximization (EM), and their mixture (MIX). Participants copy-spelled a German sentence across three blocks, one per algorithm. The dataset supports research on calibration-free ERP-based BCIs.

Participants

12

Channels

31 (10-10)

Citations

27

HED

v8.4.0

Size

4.81 GB

Version

v1.0.3

Updated

Oct 8, 2026

by David Hübner et al.
on004796
A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database

EEG FUNC Zarr

PEARL-Neuro is a multimodal database of healthy middle-aged (50-63 years) Polish adults at risk of dementia. It includes genetic data (APOE, PICALM) for 192 participants, along with demographic, health, lifestyle and psychometric measures. A subgroup of 79 participants also has EEG and fMRI recordings during resting-state (eyes open and eyes closed) and cognitive tasks (multi-source interference task, Sternberg memory task), plus blood test data.

Participants

79

Citations

35

Size

240 GB

Version

v1.0.0

Updated

Jun 25, 2026

by Dzianok Patrycja et al. OpenNeuro ds004796