Discover datasets

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

94

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026

…accuracy and latency in chronic aphasia and whether those effects are sustained…

Participants

2

Channels

32 (10-10)

Citations

1

Size

1.09 GB

Version

v1.0.0

Updated

Jun 30, 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

…accuracy and latency in chronic aphasia and whether those effects are sustained…

Participants

2

Channels

32 (10-10)

Size

1.09 GB

Version

v1.0.0

Updated

May 25, 2026

This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jun 25, 2026

Preprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.

Participants

6

Channels

60 (10-10)

Citations

99

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

EEG recordings from six healthy participants performing imagined speech of long words, comprising two word classes (cooperate and independent), with 64 channels recorded at 256 Hz. Trials were cued by auditory beeps and visual cues, and the data were analyzed with Riemannian manifold covariance features and relevance vector machines for brain-computer interface classification. The dataset is re-hosted in BIDS format from the MOABB benchmark collection.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Jun 29, 2026

Preprocessed, epoched local field potentials from the ventral lateral thalamus of 11 essential tremor patients undergoing awake deep brain stimulation (DBS) surgery. Recordings were made from mapping-electrode macro rings or the implanted DBS lead while patients read aloud consonant-vowel-consonant words and nonwords. This derivative repackages the authors' Dryad release (non-re-referenced trials) into BIDS iEEG format, with trial tables and MNI electrode coordinates.

Participants

11

Size

1.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains EEG recordings from deaf readers who read sentences containing semantic and syntactic violations, used to assess sensitivity to semantic and syntactic information during reading. Event-related potentials were recorded while participants viewed 180 sentences presented word by word, including subject-verb agreement, semantic, double, and word-order violations alongside correct control sentences.

Participants

62

Channels

32 (10-10)

Citations

4

Size

8.53 GB

Version

v1.0.0

Updated

Jun 26, 2026