Motor Imagery dataset from Weibo et al 2014
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
- Participants
- 10
- Channels
- 60 (10-10)
- Citations
- 94
- HED
- v8.4.0
- Size
- 5.64 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "scientific data" · page 3 of 10 · ranked by relevance
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
…Each data record can consist of four data folders: beh - behavioral data…
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
…Original dataset / data paper Please cite the original Scientific Data descriptor when…
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…The complete data are currently being used to answer other scientific questions…
…Original dataset / data paper Please cite the original Scientific Data descriptor when…
This dataset comprises EEG recordings from 84 healthy participants performing motor imagery tasks across multiple paradigms (Graz motor imagery, SSMVEP-MI, and hybrid video/SSVideo paradigms) in two distinct recording environments: a controlled electromagnetically shielded laboratory and a simulated multi-sensory hospital setting. A supplementary dataset from 3 participants recorded in a space station environment is also included, extending the study to microgravity conditions. The dataset is intended to support research on cross-environment robustness, cross-subject decoding, and benchmarking of EEG-based brain-computer interface algorithms.