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BCCWJ-EEG contains electroencephalography recordings from 41 native Japanese speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese, presented word by word using rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired with the same stimuli in separate participant groups, enabling cross-modality comparisons of language processing. Preprocessed derivatives (filtered, ICA-cleaned, re-referenced, and evoked data) are provided.

Participants

41

Channels

64 (10-10)

Citations

1

Size

89.1 GB

Version

v1.0.0

Updated

Jul 6, 2026

Preprocessed 64-channel EEG recordings from 8 healthy participants performing imagined speech of three vowel phonemes (a, i, u) in response to auditory and visual cues. The dataset was re-packaged in BIDS format from the MOABB collection and supports decoding of imagined speech with Riemannian manifold features and relevance vector machine classification.

Participants

8

Channels

60 (10-10)

Citations

97

HED

v8.4.0

Size

2.58 GB

Version

v1.0.3

Updated

Aug 18, 2026

An open-access EEG database of imagined speech recorded from 15 healthy Spanish-speaking adults. Participants imagined 11 classes, comprising 5 Spanish vowels and 6 directional commands, while 6-channel EEG was recorded at 1024 Hz. Trials lasted 4 s with a 3 s imagery window, and the data were bandpass filtered (2-45 Hz). The dataset supports brain-computer interface and imagined speech classification research and is redistributed in BIDS format via the MOABB collection.

Participants

15

Channels

6 (10-20)

Citations

96

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset contains simultaneous EEG and fMRI recordings from participants performing an inner speech task, in which eight words were presented in random order and repeated across trials. Data were acquired with a 3T MRI scanner and a 64-channel BrainProducts EEG system in three subjects across two sessions each. EEG data include pulse artifact removal and are organized in BIDS format.

Participants

3

Channels

64

Citations

2

Size

15.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

A large-scale (N=356) multi-laboratory EEG replication of DeLong, Urbach & Kutas (2005), testing whether readers pre-activate the phonological form of upcoming nouns during sentence comprehension. Participants at nine UK laboratories read sentences word by word, with indefinite articles (a/an) preceding expected or unexpected nouns. The data show reliable N400 effects on target nouns but no statistically significant effect on the preceding articles, which challenges strong accounts of prediction. The release includes all subjects with available raw data and a flag marking those included in the original paper's analyses.

Participants

356

Channels

63 (10-10)

Citations

97

Size

103 GB

Version

v1.1.0

Updated

Jul 5, 2026

EEG recordings from elderly participants with dementia during auditory gamma entrainment. The stimulus was a 5 kHz carrier tone amplitude-modulated with a 40 Hz pulse train, presented in alternating stimulation and silence blocks. The dataset also includes a one-minute eyes-open resting-state recording. It is intended for investigating how 40 Hz auditory stimulation affects brain oscillations in Alzheimer's disease and related dementia.

Participants

13

Channels

19 (10-20)

Size

364 MB

Version

v1.0.0

Updated

May 5, 2026

Stereoelectroencephalography (sEEG) recordings from epilepsy patients at Oregon Health & Science University, collected while they were in the epilepsy monitoring unit awaiting seizures. Participants were presented with auditory and visual numerical stimuli, either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dots and beeps). The dataset supports investigation of the neural representation of numerical quantity across modalities and formats.

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

Raw 64-channel EEG, ECG, PPG and behavioral recordings from 30 healthy young adults (18–32 years) during resting state and a verbal working memory digit-span task with serial recall. The resting session alternated eyes-closed and eyes-open blocks followed by passive cartoon viewing. In the working memory task, seven-digit sequences were presented visually either simultaneously or sequentially at different rates and with different inter-stimulus intervals, allowing study of how presentation mode affects neural oscillations and peripheral physiology.

Participants

30

Channels

63 (10-10)

Citations

8

Size

41.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

NeuroMorph is a magnetoencephalography (MEG) dataset with high temporal resolution, designed for morpheme-based linguistic analysis. It contains recordings from 24 participants, totaling over 17 hours of data, acquired with a 208-channel KIT/Yokogawa magnetometer system. The dataset supports research on the neural processing of morphology during language comprehension.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Jun 26, 2026

3M-CPSEED is an EEG dataset recorded from 20 healthy native Chinese speakers performing Chinese Pinyin production in overt, silent-intended, and imagined speech conditions. The stimulus set of selected finals and initials covers key articulatory features of the Chinese phonological system. The dataset supports research on speech neurophysiology, neural differences across pinyin articulations, and transfer learning to other alphabetic languages.

Participants

20

Channels

32 (10-10)

Citations

1

Size

15.9 GB

Version

v1.0.0

Updated

Jun 29, 2026