ds003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task
EEG
- Participants
- 65
Discover datasets
65 results for "Neuromag Vectorview" · page 6 of 7 · ranked by relevance
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- on004018
EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz
EEGImported from OpenNeuro ds004018
- Citations
- 97
- Size
- 10.5 GB
- Updated
- May 23, 2026
- on004011
The nature of neural object representations during dynamic occlusion
BEH MEGThis magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
- Size
- 258 GB
- Updated
- Jun 18, 2026
- nm000144
BNCI 2015-004 Mental tasks dataset
EEG- Citations
- 74
- Size
- 1.08 GB
- Updated
- May 16, 2026
- nm000134
Alljoined-1.6M
EEG- Citations
- 1
- Size
- 7.75 GB
- Updated
- May 18, 2026
- nm000143
BNCI2003_IVa Motor Imagery dataset
EEGThe BNCI2003_IVa Motor Imagery dataset comprises EEG recordings from 5 healthy subjects performing motor imagery tasks (right hand and feet movements) in response to visual cues. This preprocessed dataset, originally from BCI Competition III, contains 280 trials per subject acquired at 100 Hz from 118 EEG channels. The dataset has been extensively used for benchmarking brain-computer interface classification algorithms, particularly for evaluating common spatial patterns and feature combination methods.
- Citations
- 86
- Size
- 493 MB
- Updated
- Jun 19, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEGThe BNCI 2014-002 Motor Imagery dataset comprises EEG recordings from 14 healthy subjects performing two-class motor imagery tasks (right hand and feet imagination) in a cue-guided Graz-BCI paradigm. Data were acquired at 512 Hz using 15 EEG channels with online Butterworth filtering and Laplacian montage, yielding 160 trials per subject with continuous visual feedback. This minimally preprocessed dataset has been benchmarked for brain-computer interface applications using machine learning classifiers including random forests and regularized linear discriminant analysis.
- Citations
- 89
- Size
- 553 MB
- Updated
- Jun 19, 2026
- nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)
EEGThis dataset comprises scalp electroencephalography recordings from 27 stroke patients performing lower-limb motor imagery tasks as part of a longitudinal rehabilitation training protocol. The multi-paradigm design supports research on motor-imagery brain–computer interfaces for gait and lower-limb rehabilitation following stroke, with repeated sessions enabling investigation of learning and neuroplasticity during motor recovery.
- Citations
- 18
- Size
- 5.79 GB
- Updated
- Jun 17, 2026
- ds004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
iEEG EEG- Participants
- 15
- nm000167
Motor imagery dataset from Ma et al. 2020
EEG- Citations
- 50
- Size
- 22.4 GB
- Updated
- May 18, 2026