nm000276
SWEC iEEG Dataset
iEEG
…5376 hours of continuous iEEG - Annotated electrographic seizures: 381 - Task label: `ltm…
- Participants
- 40
- Size
- 2.96 TB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
91 results for "seizure detection" · page 2 of 10 · ranked by relevance
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- on003029
Epilepsy-iEEG-Multicenter-Dataset
iEEG…Seizure Electrographic and Clinical Onset Annotations ----------------------------------------------------------------------------- For various datasets, there are seizures…
- Participants
- 35
- Size
- 10.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000183
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (FNUSA)
iEEGNejedly2020 multicenter iEEG graphoelement clips (FNUSA) This BIDS dataset is converted from…
- Participants
- 14
- Size
- 20.8 GB
- Version
- vv1.0.2
- Updated
- Jul 10, 2026
- on004852
InsurgentCivilian
EEGImported from OpenNeuro ds004852
- Participants
- 1
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEGNejedly2020 multicenter iEEG graphoelement clips (MAYO) This BIDS dataset is converted from…
- Participants
- 24
- Size
- 15.0 GB
- Version
- vv1.0.2
- Updated
- Jul 10, 2026
- on003498
interictal iEEG during slow-wave sleep with HFO markings
iEEG…Adam worked on an open-source Python implementation of HFO detection algorithms…
- Participants
- 20
- Size
- 44.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004661
ANDI
EEGImported from OpenNeuro ds004661
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 1.40 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005931
Visuomotor_task
iEEG…Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures…
- Participants
- 8
- Size
- 817 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 6.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- HED
- v8.4.0
- Size
- 2.08 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026