Pre-processed functional data for the github repo: gecthomas/Spectral_DCM_in_PD_VH/tree/spm_course
<p>This repository was created for the purposes of a practical demonstration for the May 2024 SPM course at UCL.</p> <p>This upload contains subject-level anonymised functional data that have undergone the following pre-processing:</p> <ul> <li>first 5 volumes discarded</li> <li>spatial realingment</li> <li>unwarping</li> <li>normalisation to MNI space</li> <li>smoothing</li> <li>denoising with ICA-AROMA</li> </ul> <p>There are also anatomical data in the form of brain masks.</p> <p>These data are to be used in conjuction with the code in the repositry found <a href="https://github.com/gecthomas/Spectral_DCM_in_PD_VH/tree/spm_course" target="_blank" rel="noopener"><strong>here</strong></a>.</p>
ShareScore
16/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- May 6, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.11127503
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.