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on007591
Delineating neural contributions to EEG-based speech decoding

EEG Zarr

This dataset contains 128-channel EEG recordings acquired while participants produced one of five color words (green, magenta, orange, violet, yellow) under overt, minimally overt, and covert speech conditions. Each trial comprises five repetitions of the same word. Auxiliary channels (EOG, orbicularis oris EMG, microphone, display, trigger) support delineating neural versus non-neural contributions to EEG-based speech decoding. Sessions include calibration data for decoder training and online real-time decoding.

Participants

3

Channels

128 (other)

Size

1.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Motoshige Sato et al. OpenNeuro ds007591
nm000190
BNCI 2015-012 PASS2D P300 dataset

EEG Zarr

…auditory tones - **Stimulus modalities**: auditory, visual - **Primary modality**: auditory - **Synchronicity**: synchronous - **Mode…

Participants

10

Channels

63 (10-10)

Citations

84

HED

v8.4.0

Size

7.62 GB

Version

v1.0.3

Updated

Oct 8, 2026

by Johannes Höhne et al.
on007895
Auditory Streaming and Interoception

EEG Zarr

EEG dataset on auditory streaming and interoception, collected at the University of Chicago and organized in BIDS format. The README gives few details of the experimental design, so the description rests mainly on the dataset name and metadata.

Participants

22

Channels

1 (other)

Size

7.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

by John Veillette et al. OpenNeuro ds007895
on007028
Auditory Cortex Macaque Monkey DISC Data

EEG Zarr

Electrophysiological recordings from the auditory cortex of macaque monkeys, contributed by Kajikawa and Schroeder. The dataset is organized in BIDS format and mirrored on NEMAR from its original OpenNeuro deposit (ds007028).

Participants

3

Size

13.9 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Yoshinao Kajikawa et al. OpenNeuro ds007028
on007172
EEG-Asymmetries Dataset

EEG Zarr

EEG recordings from 100 healthy adults collected to study hemispheric asymmetries, specifically the relationship between N1 lateralization and alpha asymmetry. Each participant completed an eight-minute resting-state session with alternating eyes-open and eyes-closed periods. They then completed four lateralized visual tasks (words, faces, emotions, houses) with left- and right-hand responses.

Participants

100

Channels

32 (10-10)

Citations

1

Size

11.0 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Petunia Reinke et al. OpenNeuro ds007172
on007949
Auditory Streaming and Interoception

EEG Zarr

EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.

Participants

22

Channels

1 (other)

Size

7.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

by John Veillette et al. OpenNeuro ds007949
on005383
TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments

EEG Zarr

TMNRED is an EEG dataset recorded from 30 native Chinese speakers during natural reading of news headlines and short sentences. Participants identified fuzzy semantic targets among target and non-target items. The dataset supports research on semantic processing of Chinese in naturalistic reading and includes raw and preprocessed data in BIDS format.

Participants

30

Channels

30 (10-10)

Citations

4

Size

17.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Yanru Bai et al. OpenNeuro ds005383
nm000235
Eye-BCI multimodal MI/ME dataset from Guttmann-Flury et al 2025

EEG Zarr

A multimodal EEG dataset of motor imagery (MI) recorded from 31 healthy participants over up to three sessions each. Participants imagined left- and right-hand grasping in response to visual cues while 64-channel EEG plus EOG were recorded at 1000 Hz. This is a MOABB-derived version of the Eye-BCI dataset, which also includes eye-tracking and high-speed video for ocular activity analysis across BCI paradigms.

Participants

31

Channels

66 (10-10)

Citations

13

HED

v8.4.0

Size

4.65 GB

Version

v1.0.0

Updated

Jun 3, 2026

by Eva Guttmann-Flury et al.
on002712
Numbers and Letters

ANAT BEH MEG Zarr

MEG dataset in which participants viewed numbers, letters, and false fonts, presented either as single items or as strings. The experiment has two runs, single-item and string presentation, with trigger codes marking each stimulus category. The dataset can be used to study visual processing of numeric versus alphabetic symbols.

Participants

25

Size

310 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Sara Aurtenetxe et al. OpenNeuro ds002712
nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models

EEG Zarr

EEG recordings from 10 healthy participants performing an online P300 row-column speller task with a 6x6 character matrix. The study compared two stimulus types, Famous Faces and Inverting, in combination with language models for online classification. Data were recorded from 32 channels at 256 Hz across two sessions per subject with three runs each, and are annotated with HED tags.

Participants

10

Channels

32 (10-10)

Citations

28

HED

v8.4.0

Size

773 MB

Version

v1.0.5

Updated

Oct 8, 2026

by William Speier et al.