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Dataset . 2023
Data sources: ZENODO
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Dataset . 2023
Data sources: Datacite
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Dataset . 2023
Data sources: Datacite
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Deuterium Metabolic Imaging repeatability dataset, Aarhus 2023

Authors: Nikolaj Bøgh;

Deuterium Metabolic Imaging repeatability dataset, Aarhus 2023

Abstract

### BACKGROUND Manuscript title: ‘Repeatability of deuterium metabolic imaging of healthy volunteers at 3T’ Authors: Nikolaj Bøgh, Michael Vaeggemose, Rolf Schulte, Esben SS Hansen, Christoffer Laustsen Contact: Nikolaj Bøgh at nikolaj.boegh@clin.au.dk ### DESCRIPTION OF DATASET This dataset contains images and spectra of healthy volunteers imaged with deuterium metabolic imaging. The data files are structured as subject (sub-xx) —> session (ses-xx) —> run (run-xx). Each subject (n=6) were imaged at two sessions 6 weeks apart. Each session consisted of 4 runs: ⁃ run-01 before 2H-glucose administration ⁃ run-02 30 minutes after 2h-glucose ⁃ run-03 75 minutes after 2h-glucose ⁃ run-04 120 minutes after 2h-glucose At each run, a T1-weighted anatomical image was acquired. In this public dataset, a defaced version is provided. The anatomical images are accompanied by the DMI data, consisting of NIFTI-files of the fitted metabolite maps and a .-mat file with the raw MRSI data.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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