zenodoopen
Benchmark denoising strategies on fMRIPrep output - input data
<p>All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory.</p> <p>Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark</p> <p>Book: https://simexp.github.io/fmriprep-denoise-benchmark/</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- July 28, 2022
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.6941757
Scored with release 0.9.0
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