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This dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.

Participants

17

Channels

32 (10-10)

Size

351 MB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003190-blue…

Participants

19

Channels

9 (10-10)

Citations

2

Size

1.27 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset contains neural recordings investigating the brain's representation of consciously perceived versus unconsciously processed visual information. The study examines how neural activity differs when identical visual stimuli are either consciously seen or remain outside conscious awareness, providing insights into the neural correlates of consciousness and visual perception.

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

…pulse oximetry 48 hours after encoding, and they completed an online follow…

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 41 Japanese native speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution electrophysiological data acquired alongside fMRI and MEG from separate participant groups using identical stimuli. The dataset includes both raw and preprocessed data: raw data converted to FIF format, bandpass-filtered data (0.1–40 Hz), and fully preprocessed derivatives with ICA-cleaned, re-referenced, epoched, and downsampled signals suitable for event-related potential analyses.

Participants

41

Channels

64 (10-10)

Size

88.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

…The experiment consists of participants encoding object locations during a guided navigation…

Participants

58

Size

107 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.

Participants

10

Channels

32 (10-10)

Citations

28

HED

v8.4.0

Size

288 MB

Version

v1.0.1

Updated

Jul 10, 2026

…https://github.com/gifale95/eeg_encoding OSF: https://osf.io/3jk45/

Participants

10

Channels

63 (10-10)

Size

198 GB

Version

v1.1.0

Updated

Jul 10, 2026

The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003702-blue…

Participants

47

Channels

59 (10-10)

Size

60.9 GB

Version

v1.0.0

Updated

Jul 10, 2026