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
Discover datasets
100 results for "neuroimaging" · page 9 of 10 · ranked by relevance
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- on006648
Poetry Assessment EEG Dataset 1
EEGThis dataset comprises 64-channel EEG recordings and behavioural ratings from 47 participants who read and evaluated 210 short English-language texts, including Haiku, Senryu, and non-poetic Control texts. Each text was rated on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. The dataset supports research into the neural and cognitive processes underlying aesthetic and creative engagement with poetic language, and includes resting-state EEG segments recorded before and after the experimental session.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004012
BRAR_NQ
MEG[
- Citations
- 2
- HED
- v8.4.0
- Size
- 75.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- on006367
Memory Reactivation Levels Remain Unaffected by Anticipated Interference
EEG[
- Size
- 27.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on000117
Multisubject, multimodal face processing
ANAT BEH DWI FMAP FUNC MEG…Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face…
- Participants
- 17
- Citations
- 83
- Size
- 169 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on008465
NeuralEcho MACS high-density communication-related EEG dataset
EEGThis dataset comprises high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks involving four Chinese strokes and four English letters. The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions across 15,360 task events. The dataset supports research into motor imagery, speech and handwriting-related neural communication signals.
- Participants
- 30
- Channels
- 124 (10-05)
- Size
- 181 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- on002725
A dataset recording joint EEG-fMRI during affective music listening
ANAT EEG FUNC[
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003568
Mood induction in MDD and healthy adolescents
ANAT MEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003568-blue…
- Participants
- 51
- Citations
- 3
- Size
- 123 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026