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EEG dataset containing recordings from participants engaged in natural conversation. The dataset includes raw EEG data collected during spontaneous speech interactions, designed to investigate neural correlates of communication and language processing. Data were acquired using standard EEG recording protocols and include multiple channels of continuous EEG activity synchronized with behavioral and linguistic annotations.

Participants

29

Size

7.39 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This BIDS-reformatted derivative is based on the original data described in Pressel et al. 2016 and supports brain-computer interface research and motor imagery classification studies.

Participants

15

Channels

6 (10-20)

Citations

92

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset comprises EEG recordings from 24 participants across two related studies (2019 and 2021) investigating phoneme discrimination during concurrent transcranial magnetic stimulation (TMS) of motor and speech-related cortical regions. Participants listened to speech sounds—including single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords)—and responded via button press, enabling exploration of articulation and coarticulation effects on neural speech decoding. The dataset supports research into cortical mechanisms underlying speech perception and motor cortex involvement in phoneme processing.

Participants

24

Channels

61 (10-10)

Citations

6

Size

83.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds005028

Participants

11

Citations

2

Size

1.46 GB

Version

v1.0.0

Updated

Jul 10, 2026

A large-scale Spanish EEG dataset comprising 60 sessions from 56 healthy participants recorded using 64-channel EEG during speech perception and silent speech production tasks. Participants listened to and silently repeated 30 daily-use Spanish sentences. This dataset enables development of subject-independent deep neural network models for perceived sentence classification, with applications to speech decoding and neuroprosthetics for individuals with speech disorders.

Participants

56

Channels

64 (10-10)

Size

25.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

TMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.

Participants

30

Channels

30 (10-10)

Citations

1

Size

17.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains 64-channel EEG recordings from 41 Japanese native speakers who read Japanese newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ), presented word by word via rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired from separate participant groups using the same stimuli, enabling cross-modal comparisons of language processing with complementary spatial and temporal resolution.

Participants

41

Channels

64 (10-10)

Citations

1

Size

89.1 GB

Version

v1.0.0

Updated

Aug 18, 2026

Participants

85

Size

126 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings from 15 participants who each completed three auditory oddball paradigms within a single experimental session: the Optimum-1 sequence for mismatch negativity (MMN), the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.

Participants

15

Channels

64 (10-10)

Citations

5

Size

16.5 GB

Version

v1.0.0

Updated

Aug 19, 2026