BNCI2003_IVa Motor Imagery dataset
…subjects performed motor imagery (left hand, right hand, or right foot) according…
- Participants
- 5
- Channels
- 118 (10-05)
- Citations
- 86
- HED
- v8.4.0
- Size
- 735 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
…subjects performed motor imagery (left hand, right hand, or right foot) according…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.
EEG recordings from musicians listening to three-chord progressions in an auditory oddball-style paradigm. Standard progressions were interspersed with exemplar deviants (different chord inversion) and function deviants (different harmonic function of the middle chord). The dataset supports investigation of how improvisational experience relates to the categorization of musical structures.
…Cue-based left- vs right-hand motor imagery controlling a Baxter robot…
…Longitudinal motor-imagery BCI training for the Cybathlon 2016 BCI race; two…
This dataset is Study Q of bigP3BCI, an open, machine-learning-ready collection of P300-based brain-computer interface EEG recordings. It contains 32-channel EEG from 36 participants, each recorded over 3 sessions, while they used a 6x6 character speller with color intensification. Target and non-target events are annotated with HED tags. The dataset is a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared with MOABB.
…longitudinal right-hand motor imagery vs rest BCI training [1]_. Dataset Overview…
This dataset is Study R of bigP3BCI, a large open P300-based brain-computer interface collection. It contains 32-channel EEG recorded from 20 participants over two sessions each, using a 9x8 multi-face speller grid with target and non-target flashes. The data are standardized in BIDS and prepared for machine learning and benchmarking of P300 speller decoding.
…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
This dataset contains non-invasive electrophysiological recordings from the human cervical spinal cord in 30 healthy young adults, collected to test whether temporal expectation influences initial sensory processing in the spinal cord. Participants received electric median nerve stimulation at the left wrist after an auditory cue, with the cue-stimulus interval either fixed at 1100 ms or varied randomly between 100 and 2100 ms. Participants silently counted rare double-stimulus trials (80 ms ISI) and reported the count at the end of each block.