on004367
Meta-rdk: Raw EEG data
EEG
[
- Size
- 28.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
86 results for "adaptive neurostimulation" · page 3 of 9 · ranked by relevance
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- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004152
Drum Trainer
BEH EEG[
- Citations
- 1
- Size
- 4.77 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003194
Neuroepo multisession
EEGImported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEG…filtering, EOG artifact removal via adaptive filtering. Trials were 2 seconds in…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)
EEG…60 Hz notch filtering, and adaptive EOG artifact removal. Each 5-second…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 1.27 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGThis dataset comprises longitudinal motor imagery EEG recordings from 18 BCI-naive subjects across six sessions (one offline, five online), designed to study transfer learning and skill acquisition in brain-computer interfaces (BCIs). It compares two domain adaptation frameworks—Generic Recentering and Personally Assisted Recentering—for calibration-free BCI training using left/right hand motor imagery with visual feedback. Data were collected at 512 Hz with 22 EEG channels and analyzed using Riemannian geometry-based classifiers.
- Participants
- 18
- Channels
- 22 (10-10)
- Citations
- 49
- HED
- v8.4.0
- Size
- 14.4 GB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEG…60 Hz notch filtering, and adaptive EOG artifact removal. ## How to Access…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
ANAT iEEGThis dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
- Participants
- 20
- Citations
- 10
- Size
- 4.03 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026