Discover datasets

This dataset comprises EEG recordings paired with vocal audio data collected during an overt speech production task, in which participants vocalized visually presented text. Sessions are organized by recording date, with multiple runs per day, supporting research on brain-to-speech decoding and neural correlates of speech production. The dataset is intended to facilitate development and evaluation of EEG-based speech brain-computer interface models.

Participants

3

Channels

128 (other)

Citations

2

Size

49.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG and synchronized audio recordings collected for brain-based speech decoding research. It includes overt speech production, auditory listening, and covert speech imagery tasks recorded with multiple EEG acquisition systems (g.tec g.Pangolin, g.tec g.SCARABEO, ANT Neuro eego sports). The dataset supports research on neural correlates of speech production and perception, and brain-computer interface decoding of speech from EEG signals.

Participants

3

Channels

128 (other)

Citations

3

Size

1.54 TB

Version

v1.0.0

Updated

Aug 18, 2026

…Task included in Matlab programming language. Data collected circa 2012-2013 in…

Participants

110

Channels

64 (10-10)

Citations

76

Size

39.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

…programming language. Data collected 2016-2018 in the Center for Brain Recovery…

Participants

96

Channels

65 (10-10)

Citations

24

Size

25.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 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

…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…

Participants

58

Citations

29

Size

445 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Connectionist Temporal Classification (CTC) **Language model**: 6-gram modified Kneser-Ney (trained…

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.

Participants

6

Channels

60 (10-10)

Citations

97

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Large-scale replication study reveals a limit on probabilistic prediction in language…

Participants

356

Channels

63 (10-10)

Citations

98

Size

102 GB

Version

v1.1.0

Updated

Jul 10, 2026