Discover datasets

High-density (256-channel) EEG recordings from a visual oddball selective attention task collected in 2004 at the Swartz Center for Computational Neuroscience, UCSD. The dataset extends an earlier 32-channel corpus using the same experimental paradigm, and adds scanned electrode positions and anatomical MRI to allow precise source localization. Events are annotated with HED tags.

Participants

2

Channels

256 (biosemi)

HED

v8.0.0

Size

1.33 GB

Version

v1.0.2

Updated

May 26, 2026

…50.0 Hz - **Impedance threshold**: 20 kOhm ## Participants - **Number of subjects**: 100…

Participants

100

Channels

64 (10-10)

Citations

28

HED

v8.4.0

Size

34.8 GB

Version

v1.0.4

Updated

Oct 8, 2026

EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.

Participants

286

Channels

32 (10-10)

Size

7.84 GB

Version

v1.0.0

Updated

Jun 3, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006545-blue…

Participants

49

Size

46.7 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG recordings from 36 participants performing an orientation discrimination task in a visual tilt illusion paradigm. A central target grating, titrated to appear vertical on average, was surrounded by an annular grating tilted by ±30 degrees. The dataset supports analysis of prestimulus EEG correlates, including alpha oscillation power and phase, of increased or decreased tilt illusion strength.

Participants

36

Channels

64

Size

83.2 GB

Version

v1.0.0

Updated

Jun 26, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005935-blue…

Participants

21

Size

739 MB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset from a visual working memory experiment (Experiment 2) examining whether memory reactivation levels are affected by anticipated interference. Participants memorized 2 or 6 lateral objects, then performed either a dual task with distractors or a single fixation-only task during the delay, before selecting the cued object in a probe display. The data have been preprocessed; the preprocessing steps are described in the associated preprint and OSF repository (Experiment 2).

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Jun 28, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005929-blue…

Participants

7

Size

68.5 MB

Version

v1.0.0

Updated

Jun 18, 2026

Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.

Participants

12

Channels

64 (10-10)

Citations

32

Size

5.63 GB

Version

v1.0.0

Updated

Jun 29, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007477-blue…

Participants

18

Size

1.53 GB

Version

v1.0.0

Updated

Jun 19, 2026