on005810
NOD-MEG
ANAT MEG
…spatial resolution to characterize spatial representation patterns but is limited in capturing…
- Participants
- 31
- Citations
- 1
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
98 results for "semantic representation" · page 9 of 10 · ranked by relevance
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- on006392
HED schema library for SCORE annotations example
iEEGThis BIDS example dataset contains intracranial EEG (iEEG) recordings from a single subject collected during clinical photic stimulation at Mayo Clinic. It demonstrates the use of the HED-SCORE (Standardized Computer-based Organized Reporting of EEG) schema library for annotating events in a machine-readable, BIDS- and HED-validated format, supporting standardized event annotation practices in EEG/iEEG research.
- Participants
- 1
- Citations
- 2
- HED
- vscore_2.0.0
- Size
- 32.0 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005811
NOD-EEG
EEG…spatial resolution to characterize spatial representation patterns but is limited in capturing…
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 7
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006547
Visual EEG Study (BrainVision → BIDS)
EEGThis dataset comprises high-density electroencephalography (EEG) recordings acquired during a visual stimulation task from human participants. Data were collected in a single session and organized according to the EEG-BIDS specification, with raw recordings stored in BrainVision format. The dataset provides raw, unfiltered EEG signals suitable for subsequent offline preprocessing and analysis of visual evoked responses.
- Participants
- 31
- Channels
- 64
- Citations
- 1
- Size
- 17.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments
EEG…with 9 different prompts & scales. Semantic segmentation was used to extract area…
- Participants
- 63
- Channels
- 66 (other)
- Citations
- 3
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007471
Joint agency EEG dataset
BEH EEGThis dataset contains behavioural and EEG hyperscanning data collected from 32 pairs of participants performing a musical joint action task. The data were collected to examine cognitive and neural signals underlying the sense of joint agency during synchronized musical performance. Each pair's data includes behavioural ratings and synchronization measures alongside dual-participant 64-channel EEG recordings in BrainVision format.
- Participants
- 32
- Citations
- 2
- Size
- 8.06 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on007655
MorseEEG-ATP
BEH EEG…relatively little on lexical or semantic knowledge in untrained listeners. Dataset Content…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG Zarr unverifiable…100+ users needed for meaningful representations 2. **Personalization essential**: Generic model alone…
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- nm000189
BNCI 2015-003 P300 dataset
EEG…eliminates the necessity for visual representation. In up to two sessions, a…
- Participants
- 10
- Channels
- 8 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 74.4 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006802
Collaborative rule learning promotes interbrain information alignment
EEGThis dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.
- Participants
- 24
- Citations
- 3
- Size
- 62.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026