Discover datasets

Alljoined-1.6M is a large-scale EEG dataset of neural responses to rapid serial visual presentation of natural images from the THINGS database. It was recorded with a consumer-grade 32-channel EMOTIV FLEX2 system in 20 adult participants over four sessions each, yielding more than 1.6 million trials. The dataset was built to test whether deep-learning-based brain-computer interface and semantic decoding research can be done with affordable EEG hardware.

Participants

20

Channels

32 (10-10)

Size

8.78 GB

Version

v1.0.3

Updated

Sep 23, 2026

EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.

Participants

286

Channels

32 (10-10)

Size

7.84 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset contains behavioral events and intracranial EEG recordings from neurosurgical patients performing a categorized free recall task. Participants studied lists of words drawn from semantic categories, completed arithmetic distractors, and freely recalled the words. Open-loop electrical stimulation was delivered to hippocampal and entorhinal sites during alternating two-word blocks at encoding, with stimulation parameters recorded in the event files.

Participants

19

Size

22.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

Raw intracranial EEG (iEEG) recorded from 8 neurosurgical patients with electrodes implanted for seizure monitoring while they passively viewed rapid streams of scene photographs. Streams contained statistical structure at the category level or the exemplar level, alongside a random baseline. Neural entrainment (phase coherence) at the image frequency (2 Hz) and the pair frequency (1 Hz) was used to track online statistical learning across levels of abstraction. The data are converted to iEEG-BIDS without signal modification.

Participants

8

Size

17.5 GB

Version

v1.0.0

Updated

Oct 8, 2026

Electroencephalography recordings from 16 participants viewing rapid serial visual presentation streams of Gabor-like stimuli. The dataset was collected to study the temporal dynamics of visual feature coding and integration in perception. Stimuli were presented at 6.67 Hz and 20 Hz while participants performed an orthogonal fixation colour change detection task.

Participants

16

Citations

30

Size

69.6 GB

Version

v1.0.0

Updated

Jun 24, 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 BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.

Participants

24

Size

8.69 GB

Version

v1.0.2

Updated

Jun 29, 2026

A multimodal dataset of simultaneous 64-channel EEG, head-mounted eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adults. Participants took part in a naturalistic smartphone use condition and a standardized video viewing condition. Hardware TTL pulses synchronize the EEG and eye-tracking streams for temporal alignment across modalities.

Participants

23

Channels

64 (10-10)

Size

6.12 GB

Version

v1.0.0

Updated

Jun 30, 2026

Alljoined1 is an EEG dataset of neural responses to natural images presented in a rapid serial visual presentation paradigm, built for EEG-to-image decoding research. Eight healthy adults viewed images from the Natural Scenes Dataset (MS-COCO) while 64-channel BioSemi EEG was recorded across one or two sessions. This BIDS version contains raw BDF recordings of 960 shared images, event tables linked to stimuli, and epoched derivatives from the original authors.

Participants

8

Citations

5

Size

8.04 GB

Version

v1.0.4

Updated

Sep 23, 2026

This dataset contains electroencephalography (EEG) recordings from 20 Indian participants who listened to 12 songs spanning genres from Indian Classical to Goth Rock. After each song, participants rated their familiarity with and enjoyment of it on a 5-point scale. The data support research on music perception, genre, and affective responses to music.

Participants

20

Channels

129 (egi-geodesic)

Citations

2

Size

10.1 GB

Version

v1.0.0

Updated

Jun 22, 2026