Poetry Assessment EEG Dataset 1

This 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.

EEG

Issues GitHub OpenNeuro ds006648

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

Download archive (.zip) — 40.5 GB
A single zip of the published version. Best for small/medium datasets.

Download zip
NEMAR CLI recommended
Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli →
```
nemar dataset download on006648
```

DataLad

Clone the dataset repo and fetch file content on demand. Docs →

datalad clone https://github.com/nemarDatasets/on006648 on006648
cd on006648 && datalad get .

git-annex

Plain git + git-annex against the dataset repo. Docs →

git clone https://github.com/nemarDatasets/on006648 on006648
cd on006648 && git annex get .

Direct files (wget / curl / rclone)
Every file with a stable, range-resumable URL from the manifest. Needs curl, jq, wget (or rclone/aria2c). Docs →
```
curl -s https://data.nemar.org/on006648/v1.0.0/manifest.json | jq -r '.[].bytes_url' > urls.txt
wget -xc -i urls.txt
```

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

NeuroScience Gateway (NSG) portal.
NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on006648), and submit.
nsgportal.org →
Local processing with nemar-cli.
Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning.
```
npm install -g nemar-cli
nemar dataset clone on006648
cd on006648 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on006648/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.

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Files

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