P300 dataset from initial spot study
…BrainProducts BrainAmp DC - **Reference**: nose - **Sensor type**: passive Ag/AgCl - **Line frequency…
- Participants
- 13
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "BCCWJ-Brain" · page 4 of 10 · ranked by relevance
…BrainProducts BrainAmp DC - **Reference**: nose - **Sensor type**: passive Ag/AgCl - **Line frequency…
This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.
…DATASET ------------ EEG data from an affective Music Brain-Computer Interface: offline training…
The BCIT Mind Wandering dataset comprises electroencephalography (EEG), eye tracking, and vehicle performance data collected during prolonged simulated driving tasks designed to assess fatigue-related biomarkers and driver performance under different cognitive load conditions. Participants performed 30-minute driving scenarios with three types of background audio (task-relevant, non-task-relevant, and internal focus) while responding to vigilance tasks and managing vehicle perturbations. This dataset extends prior driving research by incorporating extended time-on-task measurements and novel audio manipulations to investigate the relationship between brain activity, mind wandering, and driving performance.
…http://neuroimage.usc.edu/brainstorm/CiteBrainstorm [2]: http://bugzilla.fcdonders.nl/show…
This BIDS-formatted derivative dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. Data were collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. Trials are temporally divided into training, validation, and test sets.
…EEG recordings of 25 subjects testing the Brain Invaders, a visual P300…
Imported from OpenNeuro ds003380
…This mobile brain body imaging (MoBI) experiment investigates brain activity correlated to…
…Electroencephalography (EEG), P300, Brain-Computer Interface, Experiment, Collaboration, Multi-User, Hyperscanning ## Abstract…