on008062
EEG and hedonic responses to sonic-seasoning soundscapes
EEG
…Participant IDs are de-identified (sequential sub-NN); the mapping to original…
- Participants
- 30
- Channels
- 14 (10-10)
- Size
- 23.4 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "brain mapping" · page 5 of 10 · ranked by relevance
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- nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG…motor imagery, BCI, pupillometry, EEG, brain-computer interface ## References D. Rozado, T…
- Participants
- 30
- Channels
- 32 (10-10)
- Citations
- 37
- HED
- v8.4.0
- Size
- 3.22 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEGThe YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000261
Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017)
EEG…Feature extraction employed Riemannian tangent space mapping with common spatial pattern spatial…
- Participants
- 8
- Channels
- 60 (10-10)
- Citations
- 96
- HED
- v8.4.0
- Size
- 2.58 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000347
Shi et al. 2025 — HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage
EEG…a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in…
- Participants
- 37
- Channels
- 32 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 6.42 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005810
NOD-MEG
ANAT MEGNOD-MEG provides magnetoencephalography (MEG) recordings from human participants viewing large-scale naturalistic ImageNet stimuli, extending the previously collected Natural Object Dataset (NOD-fMRI) with temporally resolved neural data. Combined with corresponding fMRI and EEG datasets from the same subjects, NOD-MEG enables multimodal investigation of object recognition across both spatial and temporal domains. The dataset is intended as a resource for studying neural mechanisms of visual object recognition under naturalistic viewing conditions.
- Participants
- 31
- Citations
- 1
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004100
HUP iEEG Epilepsy Dataset
iEEG…iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial…
- Participants
- 57
- Citations
- 22
- Size
- 13.2 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000108
hyser_bids
EMG…tsv` - Channel metadata with electrode mapping (`signal_electrode` column) - `*_electrodes.tsv` - Electrode…
- Participants
- 20
- Size
- 108 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000132
ERP CORE
EEG…University of California, Davis, Center for Mind & Brain and Department of Psychology…
- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 1
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026