on007353
HAD-MEEG
ANAT EEG MEG
…action recognition is a core component of social cognition, engaging spatially distributed…
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "independent component analysis" · page 10 of 10 · ranked by relevance
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- on005872
EEGEyeNet Dataset
EEGThis dataset provides a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It supports research on eye movement prediction from electroencephalography and eye-tracking signals, following an established paradigm designed for benchmarking EEG-based eye movement decoding.
- Participants
- 1
- Channels
- 129 (egi-geodesic)
- Citations
- 7
- Size
- 43.6 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
ANAT iEEG…stimulation pulses from the artefactual components, according to Barborica et al., 2022…
- Participants
- 20
- Citations
- 10
- Size
- 4.03 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000173
Motor Imagery ataset from Ofner et al 2017
EEGThis dataset comprises EEG recordings from 15 healthy subjects performing six different upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) and rest conditions in both movement execution and motor imagery modalities. The study investigates neural encoding of individual upper limb movements using low-frequency EEG signals (0.3-3 Hz) and achieves classification accuracies of 55-87% for executed movements and 27-73% for imagined movements. Source localization analysis identifies discriminative movement information in premotor areas, primary motor cortex, somatosensory cortex, and posterior parietal cortex, with applications toward non-invasive control of motor neuroprostheses and robotic arms.
- Participants
- 15
- Channels
- 61 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 34.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEGImported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 27
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000146
Motor Imagery dataset from Weibo et al 2014
EEG Zarr verifiedThis dataset contains EEG recordings from 10 healthy, right-handed participants performing simple and compound limb motor imagery tasks, including imagined movements of the left hand, right hand, both hands, feet, and combined hand-foot movements, as well as rest periods. The data were collected using a 60-channel EEG system (plus EOG channels) at Tianjin University to study EEG oscillatory patterns and cognitive processes underlying motor imagery, and have been converted to BIDS format with HED event annotations by the MOABB project.
- Participants
- 10
- Channels
- 60 (10-10)
- Citations
- 94
- HED
- v8.4.0
- Size
- 5.64 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006866
Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals
EEG…ICA:** *runica* algorithm 6. **Automatic component rejection:** **ADJUST** and **SASICA** 7. **Spherical…
- Participants
- 148
- Channels
- 69 (10-10)
- Size
- 118 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004587
IllusionGameEEG_data
BEH EEGThis dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.
- Participants
- 103
- Channels
- 59 (10-10)
- Size
- 219 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006923
Dataset of Electroencephalograms of Juvenile Offenders
EEG…EYESTATE}_{EPOCH#}_can_{CHANNEL}.xlsx` | Component | Example | Description | |--------------------|-------------|---------------------------------------------------------------------------| | **FR_Dats_band** | Fixed…
- Participants
- 140
- Channels
- 128 (other)
- Size
- 8.13 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026