on004447
The BMI-HDEEG dataset 3
EEG
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 22
- Channels
- 129 (egi-geodesic)
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain-switch" · page 8 of 10 · ranked by relevance
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- on004444
The BMI-HDEEG dataset 1
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Size
- 48.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005342
EEG data offline and online during motor imagery for standing and sitting
EEGThis 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.
- Participants
- 32
- Channels
- 17 (10-10)
- Size
- 2.03 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004446
The BMI-HDEEG dataset 2
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004448
The BMI-HDEEG dataset 4
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 56
- Channels
- 129 (egi-geodesic)
- Size
- 38.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006446
Cueing the future to reduce temporal discounting
EEGAn EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004584
Rest eyes open
EEG…EEG was recorded with a 64-channel BrainVision cap. Resting-state EEG…
- Participants
- 149
- Channels
- 63 (10-10)
- Size
- 2.87 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on008014
Not passive sponges: When attention wanes, our brains are less synchronized with the environment
EEG…When attention wanes, our brains are less synchronized with the environment EEG…
- Participants
- 78
- Channels
- 64 (10-10)
- Size
- 80.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
ANAT DWI EEG…Source imaging of high-density visual evoked potentials with multi-scale brain…
- Participants
- 20
- Channels
- 128 (biosemi)
- Size
- 56.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003061
EEG data from an auditory oddball task
EEGThis dataset comprises electroencephalography (EEG) recordings from participants performing an auditory oddball task conducted at the Meditation Research Institute in Rishikesh, India. Participants completed three 13-minute sessions during which they were presented with 750 auditory stimuli consisting of standard tones (70%), oddball tones (15%), and distractor noise bursts (15%), with instructions to respond to oddball stimuli via keypad. The study was approved by the Meditation Research Institute ethical committee in India and the University of California San Diego Institutional Review Board (IRB project #090731) and represents a standardized paradigm for investigating event-related potentials and attentional processing.
- Participants
- 13
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 2.30 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026