Neuroergonomic 2021 dataset
…Scientific Data, 10, 85. https://doi.org/10.1038/s41597-022-01898…
- Participants
- 15
- Citations
- 61
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "scientific data" · page 4 of 10 · ranked by relevance
…Scientific Data, 10, 85. https://doi.org/10.1038/s41597-022-01898…
A code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements, ultimately achieving zero-training performance through neural encoding models while maintaining classification accuracy comparable to traditional event-related potential methods.
…Original dataset / data paper Please cite the original Scientific Data descriptor when…
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…Scientific Data, 9(1), 416. https://doi.org/10.1038/s41597-022…
…Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105…
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.
…Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104…
The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.