Discover datasets

An 8-channel EEG dataset from 59 healthy adolescents (aged 10-16) who performed a 40-target SSVEP-based brain-computer interface task. The task used joint frequency and phase modulation (JFPM) with stimulation frequencies of 8.0-15.8 Hz. Data were collected at the Suzhou Junior Competition of BCI Olympics 2022 and are provided as epoched trials, 4 blocks of 40 trials per subject. The dataset supports benchmarking of SSVEP classification and spatial-filtering methods.

Participants

59

Channels

8 (10-10)

Citations

3

HED

v8.4.0

Size

1.04 GB

Version

v1.0.3

Updated

Oct 8, 2026

A 40-class SSVEP speller EEG dataset recorded from 40 healthy participants using beta-range flicker frequencies (14.0-21.8 Hz, 0.2 Hz spacing). Stimuli were presented with the joint frequency-phase modulation (JFPM) approach in a 5x8 matrix on a 120 Hz monitor. Each participant completed six blocks of 40 trials with 33-channel BioSemi recordings at 1024 Hz. The dataset is intended for developing low-visual-fatigue SSVEP-based brain-computer interfaces.

Participants

40

Channels

31 (10-10)

Citations

3

HED

v8.4.0

Size

16.5 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

96

HED

v8.4.0

Size

6.48 GB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains the steady-state visually evoked potential (SSVEP) paradigm from the Mobile BCI dataset of scalp- and ear-EEG. Participants viewed visual flickers at three frequencies (5.45, 8.57, and 12 Hz) while standing, walking, and running on a treadmill. It supports research on brain-computer interfaces that remain robust during locomotion. The recordings are provided in BIDS format with HED event annotations, derived via MOABB.

Participants

23

Channels

73 (other)

Citations

37

HED

v8.4.0

Size

3.55 GB

Version

v1.0.3

Updated

Oct 20, 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

6

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

79

HED

v8.4.0

Size

160 MB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains 14-channel Emotiv EPOC EEG recordings from healthy, BCI-naive participants performing a steady-state visual evoked potential (SSVEP) task. Five violet boxes flickered simultaneously at 6.66, 7.50, 8.57, 10.00 and 12.00 Hz while participants focused on a cued target. The recordings come from the MAMEM SSVEP III collection and were used in a comparative evaluation of filtering, artifact removal, feature extraction and classification algorithms for SSVEP-based brain-computer interfaces.

Participants

11

Channels

14 (10-10)

Citations

77

HED

v8.4.0

Size

277 MB

Version

v1.0.4

Updated

Oct 16, 2026

A 256-channel EEG dataset recorded from 11 healthy participants performing an SSVEP-based brain-computer interface protocol. Participants focused on one of five simultaneously flickering boxes (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) while EEG was recorded at 250 Hz with an EGI GES 300 system. The dataset supports comparative evaluation of filtering, artifact removal, feature extraction and classification algorithms for SSVEP-based BCIs.

Participants

11

Channels

256 (egi-geodesic)

Citations

76

HED

v8.4.0

Size

9.72 GB

Version

v1.0.4

Updated

Oct 16, 2026

A 256-channel EEG dataset of steady-state visual evoked potentials (SSVEP) recorded from 11 healthy adults. Participants viewed a single flickering box at five stimulation frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) while EEG was recorded at 250 Hz with an EGI 300 Geodesic EEG System. The dataset supports comparative evaluation of SSVEP-based brain-computer interface algorithms, including leave-one-subject-out classification.

Participants

11

Channels

256 (egi-geodesic)

Citations

82

HED

v8.4.0

Size

11.4 GB

Version

v1.0.4

Updated

Oct 16, 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