Discover datasets

EEG recordings from twenty-nine participants who listened to song melodies and responded as soon as a song felt familiar. Participants then tried to identify the song (title, artist, or lyrics) and chose the title from a four-option multiple choice display, receiving visual feedback on correctness. The dataset includes synchronized audio reconstructions of what each participant heard, supporting research on music familiarity and recognition.

Participants

29

Channels

32

Size

7.61 GB

Version

v1.0.0

Updated

Jun 28, 2026

EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

…and na) and four English letters (a, b, c and d). Experimental…

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 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

…rest, perception, preparation, and silent speech production. The rest segment lasted five…

Participants

56

Channels

64 (10-10)

Citations

2

Size

25.2 GB

Version

v1.0.0

Updated

Jun 23, 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

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

…the set size, probe letter and response time agree for every trial…

Participants

9

Size

16.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from a P300 speller brain-computer interface study comparing flashing paradigms for online typing with language model support. The dataset was collected with BCI2000 to evaluate typing performance across different stimulus presentation schemes. It supports research on P300-based communication interfaces.

Participants

11

Citations

1

Size

1.46 GB

Version

v1.0.0

Updated

May 13, 2026

…antisaccade, letter-memory, color–shape, number–letter, Stroop, keep track, dual n…

Participants

165

Channels

64 (biosemi)

Citations

17

Size

6.41 GB

Version

v1.0.0

Updated

Jun 26, 2026