Discover datasets

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

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

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

EEG recordings from 12 healthy participants performing a steady-state visually evoked potential (SSVEP) task in an assistive robotics setting. Participants seated in an electric wheelchair focused on LEDs flickering at 13, 17 or 21 Hz, or on a fixation point for a reject (rest) class. Eight channels were recorded at 256 Hz. The data support online, asynchronous SSVEP-based brain-computer interface research using Riemannian geometry.

Participants

12

Channels

8 (10-10)

Citations

76

HED

v8.4.0

Size

160 MB

Version

v1.0.3

Updated

Oct 8, 2026

SSVEP dataset (MAMEM Dataset III) of 14-channel Emotiv EPOC EEG recorded from 11 healthy, BCI-naive subjects who focused on flickering boxes at five frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz). The recordings accompany a comparative evaluation of algorithms for filtering, artifact removal, feature extraction and classification in SSVEP-based brain-computer interfaces. The data are preprocessed (5-48 Hz bandpass, 50 Hz notch, AMUSE/ICA artifact removal, common average reference) and organized in BIDS with HED annotations.

Participants

11

Channels

14 (10-10)

Citations

35

HED

v8.4.0

Size

277 MB

Version

v1.0.3

Updated

Oct 8, 2026

A 256-channel EEG dataset from 11 healthy subjects performing an SSVEP-based brain-computer interface protocol. Participants viewed five simultaneously flickering boxes (6.66, 7.50, 8.57, 10.00, 12.00 Hz) and focused on a cued target. The recordings were collected to support comparative evaluation of filtering, artifact removal, feature extraction and classification algorithms for SSVEP BCIs.

Participants

11

Channels

256 (egi-geodesic)

Citations

37

HED

v8.4.0

Size

9.72 GB

Version

v1.0.3

Updated

Oct 8, 2026

A dataset of 256-channel EEG recordings from 11 healthy adults performing an SSVEP-based BCI protocol. Participants viewed a single flickering magenta box at five stimulation frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) while EEG was recorded at 250 Hz. The data support comparative evaluation of state-of-the-art SSVEP signal-processing and classification algorithms.

Participants

11

Channels

256 (egi-geodesic)

Citations

40

HED

v8.4.0

Size

11.4 GB

Version

v1.0.3

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

A collection of over 1500 one- and two-minute 64-channel EEG recordings from 109 volunteers performing motor execution and motor imagery tasks. The tasks involved opening and closing the left or right fist, or both fists or both feet, either actually or imagined, along with eyes-open and eyes-closed baseline runs. Data were recorded with the BCI2000 system and support brain-computer interface research.

Participants

109

Channels

64 (10-10)

Citations

4

HED

v8.1.0

Size

11.1 GB

Version

v1.0.0

Updated

Apr 29, 2026

SparrKULee is a repository of speech-evoked auditory EEG responses from normal-hearing native Dutch/Flemish speakers at KU Leuven, who listened to continuous speech stimuli across multiple sessions. This NEMAR re-host contains 80 of the original 85 participants, as five subjects are access-restricted at the source repository. The dataset supports research on neural speech tracking and auditory EEG decoding.

Participants

80

Citations

56

Size

126 GB

Version

v1.0.0

Updated

Apr 29, 2026