Discover datasets

Preprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.

Participants

6

Channels

60 (10-10)

Citations

99

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from participants who read and evaluated 210 short English-language texts: 70 Haiku, 70 Senryu, and 70 non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. This first of two BIDS datasets includes 47 participants whose recordings passed technical validation. Psychometric questionnaire data and resting-state EEG are also provided.

Participants

47

Channels

64 (10-10)

Size

45.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG dataset from a masked-priming-style ERP study examining neural associations between fingerspelling, printed English words, and American Sign Language signs in deaf readers. Participants viewed 300 prime-target pairs in which primes were English words, ASL signs, or fingerspelled words, followed by four-letter English word targets, while performing an animal-detection task. The data support investigation of cross-modal and cross-script priming effects in deaf readers.

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Jun 27, 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

98

Size

103 GB

Version

v1.1.0

Updated

Jul 5, 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)

Size

15.9 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains EEG recordings from phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS) of the motor cortex. It merges two studies: a 2019 study of consonant-vowel and vowel-consonant pairs in 8 participants, and a 2021 study in 16 participants that added single phonemes, real words and pseudowords. It is intended to support research on speech decoding and the role of articulation and coarticulation in speech perception.

Participants

24

Channels

61 (10-10)

Size

83.8 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task in which participants studied visually presented word lists, solved arithmetic distractor problems, and then freely recalled the words. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. It is a preliminary cognitive electrophysiology study that precedes the FR1 and CatFR1 datasets.

Participants

49

Size

97.8 GB

Version

v1.0.0

Updated

Jun 25, 2026

EEG recordings from children performing letter discrimination and visual search tasks involving the mirror-image letters b and d, collected in an embodied learning for literacy study. Each participant completed a pre-intervention discrimination task, an intervention-phase visual search task, and a post-intervention discrimination task. Participants were assigned to an intervention or control group, and events mark stimulus presentation of b and d letters, including practice trials.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG recordings from 25 participants performing a two-competing-speaker selective attention task, in which they attended to either the left or right audio book. The participant's own name was embedded 10 times per block in the to-be-ignored stream, allowing study of attention capture and neural tracking of attended and ignored speech. Blocks alternated between an omnidirectional condition (equal loudness) and a beamforming condition (attended stream louder).

Participants

25

Channels

47 (egi-geodesic)

Citations

38

Size

13.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG recordings from 54 healthy participants performing a 36-symbol ERP (P300) row-column speller task with face stimuli, collected over two sessions with offline training and online copy-spelling test phases. Data were recorded at 1000 Hz from 62 EEG channels plus 4 additional EMG channels. The dataset is part of a three-paradigm BCI collection (ERP, SSVEP, motor imagery) created to investigate BCI illiteracy and distributed with the OpenBMI toolbox.

Participants

54

Channels

62 (10-05)

Citations

100

HED

v8.4.0

Size

132 GB

Version

v1.0.5

Updated

Oct 8, 2026