BNCI 2015-001 Motor Imagery dataset
…Frequency bands**: alpha=[10, 13] Hz; beta=[16, 24] Hz ## Cross-Validation…
- Participants
- 12
- Channels
- 13 (10-10)
- Citations
- 94
- HED
- v8.4.0
- Size
- 2.83 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
…Frequency bands**: alpha=[10, 13] Hz; beta=[16, 24] Hz ## Cross-Validation…
Rivalry_Tagging is a neuroimaging dataset of binocular rivalry recordings collected between February and March 2014. Trials include events for pattern presentation (pattern1, pattern2), left and right tap responses, baseline periods, and non-rivalry color (green/red) conditions. Trigger channels (UDIO001, UPPT001) are provided to align stimulus and response events.
…accuracy across a 10-fold cross-validation scheme. ## Dataset Summary | Property | Value…
EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.
…EEG - **Line frequency**: 60.0 Hz ## Participants - **Number of subjects**: 9 - **Health…
…event-related potentials - **Frequency bands**: analyzed=[1.0, 10.0] Hz ## Cross…
…left scapula Line frequency: 50.0 Hz Impedance threshold: 20.0 kOhm…
A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.
…CSP, Geodesic filtering ## Cross-Validation - **Method**: cross-validation - **Evaluation type**: within_session…
EEG, galvanic skin response (GSR) and electrocardiogram (ECG) recordings from healthy adult volunteers listening to 40-s synthetic music clips designed to target specific affective states defined by valence and arousal. The data were collected to calibrate an affective brain-computer music interface that induces target emotional states through real-time modification of generated music. Each session comprised 5 runs of 18 music trials, and self-reported valence and arousal ratings are included. This is the calibration dataset of three related datasets from the BCMI-MIdAS project.