…001 Motor Kinematics Reaching dataset BNCI 2025-001 Motor Kinematics Reaching dataset…
…It also holds the kinematics files and the Zenodo record metadata. The…
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.
[ dataset combining 157-channel EEG and full-body motion capture from 20 healthy adults performing a spatial heading-change task. Participants followed a moving sphere and returned to their initial heading either by physically rotating on the spot or by using a joystick with a 2D desktop display. The dataset supports investigation of human cortical dynamics during full-body rotation and is formatted according to BIDS.
…low-frequency EEG, broadband EEG, continuous kinematics decoding - **Frequency bands**: analyzed=[0…
A collection of over 1500 one- and two-minute 64-channel EEG recordings from 109 volunteers performing motor execution and motor imagery tasks. The tasks involved opening and closing the left or right fist, or both fists or both feet, either actually or imagined, along with eyes-open and eyes-closed baseline runs. Data were recorded with the BCI2000 system and support brain-computer interface research.
This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected to evaluate motion artifacts in long-term clinical NIRS monitoring. It accompanies a study comparing collodion-fixed prism-based optical fibers with conventional fiber attachment for reducing motion artifacts. The data are mirrored on NEMAR from OpenNeuro.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000434-blue…
A multimodal mobile brain/body imaging dataset from 32 young adults walking over uneven terrain at different speeds. It includes high-density dual-layer EEG, neck EMG, IMU acceleration, ground reaction forces, and head models built from T1-weighted MR images. Each participant also completed a seated rest trial, and digitized electrode locations are provided for every subject.