Discover datasets

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

EEG recordings from 10 healthy participants performing two-class motor imagery (left vs. right hand) cued by arrows. Data were recorded with a 128-channel BrainAmp system at 500 Hz, with 150 trials per participant in a single session. The dataset was collected to evaluate beamforming and spatial filtering approaches (e.g., CSP, Laplacian) for noninvasive brain-computer interfaces.

Participants

10

Channels

128 (other)

Citations

75

HED

v8.4.0

Size

5.49 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings from 10 persons with cervical spinal cord injury performing attempted arm and hand movements: hand open, palmar grasp, lateral grasp, pronation and supination. Sixty-one EEG channels and 3 EOG channels were recorded across 9 runs per participant. Low-frequency time-domain EEG (movement-related cortical potentials) was used to decode the five movement classes offline, and an online proof-of-concept for self-paced movement detection was also run. The dataset supports research on neuroprosthetic and upper-limb control brain-computer interfaces.

Participants

10

Channels

61 (10-05)

Citations

96

HED

v8.4.0

Size

4.51 GB

Version

v1.0.3

Updated

Oct 8, 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

This dataset contains 32-channel EEG recordings from 8 healthy participants performing a combined steady-state visual evoked potential (SSVEP) brain-computer interface task. Spatially overlapping arrow stimuli at a single location, flickering at distinct frequencies derived from an 85 Hz CRT refresh rate, encode four directions (up, down, left, right). Participants covertly attended to one direction per trial, and the data cover three stimulation and attention schemes across two experiments.

Participants

8

Channels

31 (10-10)

Citations

3

HED

v8.4.0

Size

5.30 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings from five healthy participants performing cued motor imagery (right hand versus foot) with 118 electrodes, originally published to demonstrate improved single-trial classification through feature combination and multiclass paradigms. The data were downsampled to 100 Hz and comprise 280 cued trials per subject, split into labeled training and unlabeled test sets. The dataset was part of BCI Competition III and is widely used for benchmarking BCI classification algorithms.

Participants

5

Channels

118 (10-05)

Citations

86

HED

v8.4.0

Size

735 MB

Version

v1.0.3

Updated

Aug 18, 2026