Discover datasets

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

…10 - **Hardware**: g.MOBILAB - **Software**: BCI2000 - **Reference**: right earlobe - **Ground**: left mastoid…

Participants

8

Channels

8 (10-10)

Citations

89

HED

v8.4.0

Size

241 MB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.

Participants

15

Channels

64 (10-10)

Size

585 MB

Version

v1.0.0

Updated

Mar 14, 2026

…Hardware**: BrainAmp MR plus - **Software**: BCI2000 - **Reference**: left mastoid - **Ground**: unknown - **Sensor…

Participants

9

Channels

22 (10-10)

Citations

89

HED

v8.4.0

Size

1.38 GB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

…1005 - **Hardware**: Biosemi ActiveTwo - **Software**: BCI2000 3.0.2 - **Reference**: CMS/DRL…

Participants

52

Channels

64 (10-10)

Citations

91

HED

v8.4.0

Size

16.7 GB

Version

v1.0.2

Updated

Aug 18, 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

…OI2h - **Montage**: standard_1005 - **Software**: BCI2000 - **Sensor type**: EEG - **Line frequency**: 50…

Participants

14

Channels

128 (10-05)

Citations

78

HED

v8.4.0

Size

31.3 GB

Version

v1.0.3

Updated

Aug 18, 2026

EEG recordings from 47 neurotypical children and adolescents (5-18 years) who each completed a two-stage SSVEP-based brain-computer interface session. The session comprised a stimulus personalization pipeline followed by an online 4-target SSVEP game. Data were recorded with a 16-channel g.tec gel-based system at 256 Hz. The dataset was released by the BCI4Kids program to support signal-processing methods developed specifically for pediatric SSVEP-BCI data.

Participants

47

Channels

16 (10-10)

Size

2.41 GB

Version

v1.0.1

Updated

Oct 8, 2026

…Signals were acquired with the general-purpose BCI2000 software (same sources). The…

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026