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

…To improve the spatial resolution of the source reconstruction, individual high-resolution…

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Jun 29, 2026

Magnetoencephalography and anatomical MRI recorded from 10 participants during a passive hMT+ (human visual motion area) localizer task. Participants viewed random dot clouds that either stayed incoherent or turned coherent (up or down) after 500 ms. The data come from the vision-only training group of a study on supramodal processing, visual perceptual learning, and plasticity.

Participants

12

Citations

31

Size

10.1 GB

Version

v1.0.0

Updated

Jun 21, 2026

…These include higher signal sensitivity, improved spatial resolution, and more uniform scalp…

Participants

60

Citations

4

Size

112 GB

Version

v1.0.0

Updated

Jun 26, 2026

Raw EEG and behavioral recordings in BIDS format, accompanying the study 'A common neural mechanism underlies experiences of passage of time' (Jording et al.). The dataset contains per-subject BrainVision EEG recordings (.vhdr/.vmrk/.eeg), behavioral data, scans listings, and source data, and is intended for investigating the neural mechanisms underlying the experience of the passage of time. Task, participant, and equipment details beyond this are not specified in the source metadata.

Participants

42

Channels

63 (10-10)

Size

29.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

A BIDS-standardized example dataset of simultaneously recorded EEG and eye-tracking data from a single subject, drawn from the EEGEyeNet resource. EEGEyeNet was designed as a dataset and benchmark for eye movement prediction from EEG. This version reformats the original Open Science Framework data to the BIDS standard.

Participants

1

Channels

129 (egi-geodesic)

Citations

7

Size

43.6 MB

Version

v1.0.0

Updated

Jun 28, 2026

…8.0, 12.0] Hz - **Spatial filters**: CSP, Geodesic filtering ## Cross-Validation…

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026

MEG recordings from participants performing a localizer task and a risky decision-making task, used to study how heuristics in risky choice relate to preferential neural representation of information. The dataset includes raw MEG with photodiode-derived event timing, event information tables, and preprocessed epoched data for the localizer and choice phases.

Participants

21

Size

431 GB

Version

v1.0.0

Updated

Jun 26, 2026

…properties, such as the high spatial resolution of functional magnetic resonance imaging…

Participants

4

Channels

64 (10-10)

Citations

21

Size

9.33 GB

Version

v1.0.0

Updated

Jun 23, 2026

STRUM is a dyadic neuroergonomics dataset in which pairs of participants perform a collaborative urban-reconnaissance task while a time-synchronized multimodal sensor suite records both members simultaneously via Lab Streaming Layer. It covers 33 sessions and 66 participants, with high-density EEG, EMG, ECG/EOG, motion capture, eye-tracking, force plate and controller behavior. Each participant has their own subject directory, and the pairing is encoded in participants.tsv so that analyses can split by pair.

Participants

66

Channels

207 (biosemi)

HED

v8.4.0

Size

512 GB

Version

v1.0.1

Updated

Sep 28, 2026