Discover datasets

A multimodal SSVEP dataset of 64-channel EEG, an EOG channel, and stimulus markers recorded from 31 healthy participants over up to 3 sessions each (63 sessions in total). Participants viewed LED stimuli flickering at four frequencies in a 4-class SSVEP paradigm (48 trials per session). It is the SSVEP component of a larger resource combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms, and is formatted for use with MOABB.

Participants

11

Channels

62 (10-10)

Citations

14

HED

v8.4.0

Size

28.6 GB

Version

v1.0.4

Updated

Oct 8, 2026

A 12-class steady-state visual evoked potential (SSVEP) EEG dataset using joint frequency-phase modulation, recorded from healthy participants in a simulated online brain-computer interface experiment. Eight occipital and parieto-occipital channels were recorded at 256 Hz while subjects gazed at flickering targets on a 4x3 virtual keypad (9.25-14.75 Hz). The data were originally used to compare canonical correlation analysis (CCA)-based SSVEP detection methods.

Participants

9

Channels

8 (10-10)

Citations

92

HED

v8.4.0

Size

196 MB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains the steady-state visual evoked potential (SSVEP) paradigm of the Mobile BCI dataset from Lee et al. (2021). It provides scalp EEG and EOG recordings from healthy participants who viewed visual flickers at 5.45, 8.57, and 12 Hz while standing, walking, and running on a treadmill. It supports research on brain-computer interface decoding during locomotion.

Participants

23

Channels

73 (other)

Citations

36

HED

v8.4.0

Size

1.31 GB

Version

v1.0.2

Updated

Aug 18, 2026

A benchmark SSVEP-based brain-computer interface dataset containing 64-channel EEG from 34 healthy participants (35 in the original publication) who gazed at 40 flickering characters in a speller. The targets were coded with joint frequency and phase modulation (8-15.8 Hz, 0.2 Hz steps). Each subject completed 6 blocks of 40 cued trials, 5 s of stimulation per trial. Epochs were extracted around stimulus onset and downsampled to 250 Hz.

Participants

34

Channels

64 (10-10)

Citations

98

HED

v8.4.0

Size

6.48 GB

Version

v1.0.3

Updated

Oct 8, 2026

An 8-channel wearable EEG dataset of steady-state visual evoked potentials (SSVEP) recorded from 6 participants. Stimulation was delivered at 2 Hz, 4 Hz and 8 Hz. Each participant completed trials while staying still and trials with voluntary head/neck and eye movements, so the recordings include both clean and artifact-contaminated data.

Participants

6

Channels

8 (other)

Citations

26

Size

242 MB

Version

v1.0.0

Updated

May 13, 2026

The eldBETA dataset provides 64-channel EEG recordings from 100 elderly participants (aged 51-81) performing a 9-target SSVEP-based brain-computer interface speller task. Stimuli used joint frequency and phase modulation (JFPM) at 8-12 Hz in 0.5 Hz steps, with 7 blocks of 9 trials per participant. It serves as a benchmark for evaluating SSVEP-BCI decoding algorithms in an aging population.

Participants

100

Channels

64 (10-10)

Citations

28

HED

v8.4.0

Size

34.8 GB

Version

v1.0.4

Updated

Oct 8, 2026

A pediatric steady-state visual evoked potential (SSVEP) brain-computer interface dataset recorded from 47 healthy children and adolescents aged 5-18 years. Each participant completed a stimulus personalization and comfort-rating procedure, then played an online four-target SSVEP-controlled game with both a personalized and a standard high-contrast stimulus. The 16-channel EEG recordings are provided in BIDS format with HED event annotations.

Participants

41

Channels

16 (10-10)

HED

v8.4.0

Size

1.73 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains 32-channel EEG recorded with a BioSemi ActiveTwo system from 12 healthy participants using a single-flicker, spatially coded SSVEP brain-computer interface for spatial navigation. A single 15 Hz flickering square is shown at the screen center, and four non-flickering targets lie at the cardinal directions. Gaze direction produces distinct spatial topographies of the SSVEP response. Two sessions per subject are included: a structured training calibration session and an online adaptive BCI game session.

Participants

12

Channels

32 (10-10)

Citations

52

HED

v8.4.0

Size

10.9 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains 64-channel EEG recordings from 24 healthy participants performing two SSVEP-based brain-computer interface tasks, a low-frequency paradigm (8.0-15.5 Hz) and a high-frequency paradigm (25.5-33.0 Hz). Each paradigm has 16 targets encoded with joint frequency-phase modulation. Training and fatigue blocks were recorded to study how fatigue affects SSVEP-BCI performance and to evaluate dynamic stopping strategies.

Participants

24

Channels

64 (10-10)

Citations

5

HED

v8.4.0

Size

33.1 GB

Version

v1.0.3

Updated

Oct 8, 2026

M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.

Participants

95

Channels

64 (10-10)

Citations

31

Size

21.6 GB

Version

v1.0.0

Updated

May 11, 2026