nm000134
Alljoined-1.6M
EEG
…XX/ses-YY/eeg/sub-XX_ses-YY_space-CapTrak_coordsystem.json…
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "space station EEG" · page 9 of 10 · ranked by relevance
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- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEGA high-gamma EEG dataset comprising 14 healthy subjects performing motor imagery tasks (left hand, right hand, feet, and rest) recorded at 500 Hz with 128 channels. This is a BIDS-formatted derivative of the original dataset described in Schirrmeister et al. 2017, which was used to develop and validate deep convolutional neural networks for end-to-end EEG decoding. The derivative demonstrates that deep learning approaches can match or exceed traditional feature-based methods (FBCSP) while learning interpretable spectral power modulations in alpha, beta, and high-gamma frequency bands.
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 76
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000131
Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs
EEG…types**: eeg=31, eog=2 - **Montage**: standard_1005 - **Hardware**: eego mylab (ANT…
- Participants
- 8
- Channels
- 31 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 5.30 GB
- Version
- v1.0.2
- Updated
- Aug 18, 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
- on004370
PRIOS
iEEG…All shared electrode positions were converted to MNI305 space using the Freesurfer…
- Participants
- 7
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006593
cBCI Matrix Multimodal Dataset
EEG…on006593) # Multimodal Sensor Fusion for EEG-Based BCI Typing Systems ## Dataset Overview…
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 616 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005307
Laser-evoked potentials in the human spinal cord and cortex
EEGThis dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.
- Participants
- 7
- Channels
- 72 (other)
- Size
- 18.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002034
Real-time EEG feedback on alpha power lateralization leads to behavioral improvements in a covert attention task
EEG…The EEG was recorded with an active 64 channel HIamp EEG amplifier…
- Participants
- 14
- Channels
- 64 (10-10)
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEGThis dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026