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This dataset comprises electroencephalographic recordings from 50 healthy subjects performing a visual P300 brain-computer interface videogame called Brain Invaders. The experiment employed an oddball paradigm with 36 symbols flashed pseudo-randomly across three sessions with varying flash durations (50ms, 80ms, 110ms) to elicit P300 responses. EEG signals were acquired using 32 active wet electrodes at 512 Hz sampling rate, with real-time adaptive classification enabling calibration-free operation of the classifier.

Participants

44

Size

4.32 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset comprises electroencephalographic recordings from 43 healthy participants performing a visual P300-based brain-computer interface task using the Brain Invaders videogame paradigm. Participants completed three sessions with varying flash durations (50ms, 80ms, 110ms) while attempting to identify target symbols among 36 pseudo-randomly flashed stimuli. EEG data were acquired using 32 wet electrodes at 512 Hz, with real-time adaptive Riemannian classification providing online feedback in a calibration-free BCI system. This is a derivative dataset processed from raw EEG recordings.

Participants

43

Size

1.93 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset comprises electroencephalographic recordings from 38 healthy subjects engaged in a multi-user P300-based brain-computer interface experiment called Brain Invaders. Participants played in pairs across three conditions (Solo1, Solo2, and Collaboration) using a visual oddball paradigm with 36 symbols to elicit P300 responses. The study investigates inter-brain synchrony during collaborative BCI gaming, with 32-channel EEG recordings sampled at 512 Hz using wet electrodes in a standard 10-10 montage.

Participants

38

Size

401 MB

Version

v1.0.0

Updated

Jun 3, 2026

A P300-based brain-computer interface dataset for television control comprising EEG recordings from 30 healthy subjects performing a visual oddball task with 31-channel recordings at 500 Hz sampling rate. The dataset includes 50 training and 30 testing trials per subject with target and non-target stimulus classifications (2 classes), designed to evaluate BCI performance for home appliance control applications.

Participants

30

Size

1.40 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset comprises EEG recordings from 15 individuals with autism spectrum disorder (ASD) participating in a P300-based brain-computer interface (BCI) study focused on joint-attention training in a virtual environment. Data were collected across 7 sessions using 8 EEG channels sampled at 250 Hz, with participants responding to visual stimuli (flashing objects) in a two-class paradigm (target vs. non-target). The dataset includes preprocessed, epoched data suitable for benchmarking BCI classification algorithms and investigating neural correlates of attention in ASD populations.

Participants

15

Size

3.79 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset comprises EEG recordings from 25 healthy participants performing motor imagery and spatial attention tasks across five sessions. The study integrates simultaneous motor imagery (left and right hand) with overt spatial attention in an online brain-computer interface paradigm, featuring 64-channel recordings at 1000 Hz with cursor feedback. The dataset includes 1,875 trials collected during motor imagery, overt spatial attention, and combined tasks, providing a comprehensive resource for investigating the interaction between motor imagery and spatial attention in BCI applications. This is a derivative dataset processed and organized according to BIDS standards from the original study data.

Participants

25

Size

4.89 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for door lock control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, generating event-related potentials in response to target and non-target stimuli presented on an LCD display. The dataset includes 50 training and 30 testing trials per subject and serves as a benchmark for P300-based home appliance control applications.

Participants

14

Size

606 MB

Version

v1.0.0

Updated

Jun 3, 2026

A collaborative brain-computer interface dataset based on rapid serial visual presentation (RSVP) paradigm, comprising synchronized EEG recordings from 14 healthy subjects (7 pairs) performing target detection tasks on human versus non-human images. The dataset includes 62-channel EEG data sampled at 1000 Hz across 2 sessions per subject, with event-related potential (ERP) markers for target and non-target stimuli, designed to support BCI research and benchmarking studies.

Participants

14

Size

5.29 GB

Version

v1.0.0

Updated

Jun 2, 2026

Participants

14

Size

320 MB

Version

v1.0.0

Updated

Jun 2, 2026

Participants

25

Size

54.4 MB

Version

v1.0.0

Updated

Jun 2, 2026