on001971
Audiocue walking study
EEG
[
- Size
- 32.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "multimodal neuroimaging" · page 8 of 10 · ranked by relevance
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- nm000151
Motor imagery dataset for three imaginary states of the same upper extremity
EEG- Participants
- 12
- Channels
- 32 (egi-geodesic)
- Citations
- 44
- HED
- v8.4.0
- Size
- 3.20 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006840
IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset
EEG[
- Size
- 7.35 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006647
Poetry Assessment EEG Dataset 2
EEGThis dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146; anonymized as sub-001 to sub-004 in BIDS format) who evaluated 210 short English-language texts (70 Haiku, 70 Senryu, and 70 control texts) on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. IMPORTANT: These 4 participants were EXCLUDED from primary analyses due to segmented EEG recordings acquired in multiple sessions and subsequently concatenated during preprocessing, which introduced potential artifacts. This is a companion dataset to Poetry Assessment EEG Dataset 1 (47 participants with validated continuous recordings used in primary analyses). Poetry Assessment EEG Dataset 2 is included for completeness and transparency, enabling users to apply their own quality control pipelines if desired. The dataset includes resting-state EEG (trigger codes: 65285, 65286 for pre-experiment; 65287, 65288 for post-experiment), trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), enabling investigation of neural correlates of aesthetic and creative cognition during poetic language processing. All preprocessing steps, event markers, and metadata structures were applied identically across both Poetry Assessment EEG datasets.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on007420
A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task
NIRS[
- Size
- 127 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006126
TDCS Modulation of Visual Cortex in Motor Imagery
EEGImported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004796
A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database
EEG FUNC…s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database IMPORTANT NOTE: The…
- Participants
- 79
- Size
- 240 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006648
Poetry Assessment EEG Dataset 1
EEGThis dataset comprises 64-channel EEG recordings and behavioral ratings from 47 participants who read and evaluated 210 short English-language texts (70 Haiku with nature themes, 70 Senryu with emotion themes, and 70 non-poetic control texts) while rating them on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. This dataset represents the first part of a 51-participant study; it contains data from 47 participants whose continuous EEG recordings passed technical validation and were used in primary analyses. The companion dataset (Poetry Assessment EEG Dataset 2) includes the remaining 4 participants whose EEG recordings were excluded from primary analyses due to session interruptions and concatenation during preprocessing. The study investigates neural correlates of poetic language processing and aesthetic cognition. Complementary psychometric assessments including mood, personality traits, imagery vividness, mindfulness, and aesthetic responsiveness are included. Resting-state EEG was recorded at the beginning and end of each session.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026