BNCI 2014-004 Motor Imagery dataset
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
- Participants
- 1
- Channels
- 3 (10-20)
- Citations
- 83
- HED
- v8.4.0
- Size
- 478 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "scientific data" · page 6 of 10 · ranked by relevance
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104…
…The scientific article (see Reference) contains all methodological details - Johanna Wagner (June…
…The original data and license terms apply — see `dataset_description.json` for…
The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.
…Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105…
This dataset comprises high-density electroencephalography (EEG) recordings acquired during a visual stimulation task from human participants. Data were collected in a single session and organized according to the EEG-BIDS specification, with raw recordings stored in BrainVision format. The dataset provides raw, unfiltered EEG signals suitable for subsequent offline preprocessing and analysis of visual evoked responses.