Skip to main content
zenodoopen

Universal Dynamic Fitting of Magnetic Resonance Spectroscopy - Data

<p>Original data for the in vivo experiments included in the article Universal Dynamic Fitting of Magnetic Resonance Spectroscopy&nbsp;by&nbsp; William T Clarke, Cl&eacute;mence Ligneul, Michiel Cottaar, Betina Ip and&nbsp;Saad Jbabdi (Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK).</p> <p>This data accompanies the online&nbsp;<a href="https://git.fmrib.ox.ac.uk/wclarke/fsl-mrs-dynamic-fitting">code repository</a>. Note that this repository contains preprocessed versions of this data already.</p> <p>Two files are included:</p> <ol> <li>fmrs_invivo_unprocessed_data.zip - NIfTI-MRS formatted data relating to the fMRS in vivo example in this work. Data is originally from&nbsp;<a href="https://doi.org/10.1016/j.neuroimage.2017.04.030">10.1016/j.neuroimage.2017.04.030</a>.</li> <li>dwmrs_invivo_original_data.zip = matlab .mat data relating tot he dwMRS in vivo example in this work. Data is originally from&nbsp;<a href="https://doi.org/10.1016/j.neuroimage.2019.02.046">10.1016/j.neuroimage.2019.02.046</a>.</li> </ol> <p>If you use this data in your work please cite this work (Universal Dynamic Fitting of Magnetic Resonance Spectroscopy) once available and the originating publications.</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