NEMAR copy of ds006648
You're viewing the NEMAR copy at v1.0.0.
Each OpenNeuro pull is a NEMAR major bump
(vN.0.0); intermediate versions are NEMAR-side fixes.
Poetry Assessment EEG Dataset 1
This 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.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.