on005403
Delayed Auditory Feedback EEG/EGG
EEG
…10.82901/nemar.on005403) Notes ---------- Electroglottography (EGG) and audio are included in…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 136 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
40 results for "electroglottography" · page 1 of 4 · 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
- Participants
- 16
- Citations
- 98
- Size
- 10.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEGThis dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.
- Participants
- 7
- Channels
- 64 (10-10)
- Size
- 12.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005946
ERC_CoG PROMENADE - WP2 - MetaImagery (Metaphor and Mental Imagery)
EEGThis dataset comprises EEG recordings from 39 Italian-speaking participants performing a picture-matching task under four cue conditions (Physical, Imagery, Literal, and Metaphorical), designed to investigate how mental representations generated by verbal and non-verbal cues influence the processing of subsequent target pictures. The study, part of the ERC-funded PROMENADE project, focuses on the neurocognitive processing of metaphorical versus literal language and mental imagery. EEG data were collected in long epochs around target picture onset, alongside behavioral accuracy and questionnaire-based measures of vocabulary and imagery ability.
- Participants
- 39
- Channels
- 58 (10-10)
- Size
- 14.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002833
DataSet2
EEGEEG dataset containing recordings from multiple subjects. This dataset is mirrored on NEMAR from OpenNeuro (ds002833) and contains raw EEG data in BIDS format.
- Participants
- 20
- Channels
- 257 (egi-geodesic)
- Citations
- 4
- Size
- 39.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003421
HD-EEGtask(Dataset 2)
EEGThis high-density EEG dataset comprises recordings from 20 healthy right-handed volunteers (10 females, 10 males, mean age 23 years) collected between 2014 and 2017 during four experimental conditions: resting state, visual naming, auditory naming, and working memory tasks. The dataset contains 256-channel EEG data acquired at 1000 Hz sampling frequency and is designed to investigate dynamic functional brain network reorganization across different cognitive states.
- Participants
- 20
- Channels
- 257 (egi-geodesic)
- Citations
- 1
- Size
- 76.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 99
- HED
- v8.1.0
- Size
- 11.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005873
SeizeIT2
EEG EMGSeizeIT2 is a multicenter, prospective study validating the wearable Sensor Dot device for long-term epilepsy monitoring in adult and pediatric patients with refractory focal epilepsy. The dataset includes wearable EEG (behind-the-ear), ECG, EMG, and movement (accelerometer/gyroscope) recordings from 125 patients across five European epilepsy monitoring units, totaling approximately 11,640 hours of data and 886 recorded focal seizures. This BIDS-compliant version reorganizes the original SeizeIT2 data with BIDS-score compatible seizure annotations for use in epilepsy detection research.
- Participants
- 125
- Channels
- 2
- Citations
- 3
- Size
- 117 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002680
Go-nogo categorization and detection task
EEGThis dataset comprises EEG recordings from participants performing go-nogo categorization and detection tasks across two recording sessions. Participants viewed briefly presented images (20 ms) and responded according to task-specific rules: lifting a finger for target stimuli (go response) or maintaining button press for non-targets (nogo response). The dataset includes two complementary tasks—animal categorization and image recognition—with systematic manipulation of stimulus presentation and response requirements, providing a rich resource for investigating event-related potentials and decision-making processes.
- Participants
- 14
- Channels
- 31 (10-20)
- Size
- 9.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026