Discover datasets

This dataset comprises electroencephalography (EEG) recordings from 20 Indian participants listening to 12 songs spanning diverse genres, from Indian Classical to Goth Rock. Participants rated their familiarity and enjoyment of each song on a 5-point scale following passive listening. The dataset provides neurophysiological measures of music perception and aesthetic response across genre diversity.

Participants

20

Channels

129 (egi-geodesic)

Citations

3

Size

10.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises unprocessed EEG recordings from 31 healthy adult participants (age 18-66, 18 female) listening to 40 music clips of 12 s duration each of varying emotional content. The study investigates neural correlates of music-induced emotion through six runs of EEG recordings, including resting-state baseline and four music listening runs. Data were collected at 1 kHz sampling rate and are accompanied by participants' self-reported emotional responses, providing a resource for studying the relationship between brain activity and affective music perception. The musical stimuli were excerpts from film scores selected from Eerola & Vuoskoski (2010).

Participants

31

Channels

19 (10-20)

Size

3.35 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from three experiments investigating whether the auditory brainstem response (ABR) to natural continuous speech is modulated by selective attention. Participants listened to narrated audiobooks under diotic, dichotic, and passive listening conditions while cortical and subcortical EEG responses were simultaneously recorded. The dataset supports the study by Stoll et al. (2025) published in PLOS Biology, examining subcortical and cortical processing of attended versus unattended speech.

Participants

66

Channels

32 (10-10)

Citations

1

Size

103 GB

Version

v1.0.0

Updated

Aug 19, 2026

An EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified paradigm designs for brain-computer interface applications. The dataset comprises 1,800 trials of four Spanish directional commands recorded at 500 Hz from 24 electrodes using the mBrainTrain Smarting system. This derivative dataset enables systematic evaluation of paradigm design effects on imagined speech decoding performance.

Participants

15

Channels

24 (10-10)

Citations

1

HED

v8.4.0

Size

1.52 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises 382 electroencephalographic recordings from 19 participants performing a P300 visual oddball paradigm with systematically varied stimulus properties. Participants completed three experimental sessions, each containing seven recordings with different numbers of visual stimuli (4-9) and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.

Participants

19

Channels

9 (10-10)

Citations

3

Size

1.27 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises preprocessed EEG recordings from 8 healthy subjects performing imagined speech tasks involving three vowel phonemes (a, i, u). Participants received auditory and visual cues to imagine speaking each vowel, with 64-channel EEG data acquired at 256 Hz. The dataset includes 2,400 trials generating 7,200 overlapping 2-second epochs (8 subjects × 300 trials × 3 overlapping epochs per trial) analyzed using Riemannian manifold-based feature extraction and relevance vector machine classification for brain-computer interface applications, achieving approximately 49% mean accuracy across a 10-fold cross-validation scheme.

Participants

8

Channels

60 (10-10)

Citations

96

HED

v8.4.0

Size

2.58 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.

Participants

21

Citations

2

Size

32.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises scalp EEG recordings from 49 participants (19 younger adults aged 20-40 years and 30 older adults aged 49-73 years) performing an interleaved dual-oddball audio-visual attention task. The study investigates age-related differences in selective attention and sensory processing by examining event-related potentials during three task conditions: focus visual, focus auditory, and attention shift between modalities. Data were collected from 33 EEG channels plus EOG and mastoid reference channels at 250 Hz sampling rate.

Participants

49

Channels

33 (10-10)

Citations

99

HED

v8.0.0

Size

7.67 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.

Participants

75

Channels

61 (10-10)

Citations

30

Size

21.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.

Participants

12

Channels

64 (biosemi)

Size

24.2 GB

Version

v1.0.0

Updated

Jul 10, 2026