Discover datasets

A multimodal dataset of human balance during beam walking and standing on a treadmill-mounted balance beam. It includes synchronized 128-channel EEG, lower leg and neck EMG, EOG, and motion capture. Participants were exposed to visual field rotations in virtual reality or physical side-to-side waist pulls, which allows electrocortical and muscular responses to sensorimotor perturbations to be compared.

Participants

30

Channels

128 (biosemi)

Citations

165

Size

10.9 GB

Version

v1.0.0

Updated

Jun 19, 2026

…the implanted DBS lead (Medtronic 3387, Ripple Grapevine), one session after the…

Participants

11

Size

1.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.

Participants

15

Channels

61 (10-05)

Citations

93

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

…while recordings done with the Medtronic system are estimated through testing to…

Participants

58

Size

107 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026

…using visual, auditory, and tactile perception. Participants were asked to visualize an…

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

…while recordings done with the Medtronic system are estimated through testing to…

Participants

38

Size

64.9 GB

Version

v1.0.0

Updated

Jun 27, 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

…This dataset aims to foster studies on neural decoding, perception, and cognitive…

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026

…while recordings done with the Medtronic system are estimated through testing to…

Participants

19

Size

22.5 GB

Version

v1.0.0

Updated

Jun 27, 2026