Dataset
Predicting progression in MS (NMR data)
- Documentation:
- This dataset contains serum 1H NMR metabolomics profiles generated to support the study “Serum GFAP and NfL Augment a Metabolomics-Driven Strategy for Long-Term Prediction of Multiple Sclerosis Progression.” Serum samples were acquired from individuals with multiple sclerosis and analysed using standardised NMR spectroscopy protocols. The data include processed spectral features and quantified metabolites used for multivariate modelling and longitudinal prediction of disease progression.
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- Files:
-
-
(sheet, 9.2KB, Terms of use)
-
(7z, 14.5MB, Terms of use)
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Authors/Creators
+ European Parliament
More from this funder
- Funder identifier:
- https://ror.org/058fj5k57
- Grant:
- EP/Y000420/1
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- 2758414
- Publisher:
- University of Oxford
- Publication date:
- 2026
- DOI:
- Language:
-
English
- Keywords:
- Pubs id:
-
2364049
- UUID:
-
uuid_320eeae3-64e5-473a-a654-390216a4ab81
- Local pid:
-
pubs:2364049
- Deposit date:
-
2026-01-26
- ARK identifier:
- Title:
- Predicting progression in MS (NMR data)
- DOI:
- 10.5287/ora-xo5mbmxo1-2 Request object version
- Created date:
- 2026-02-05
- Title:
- Predicting progression in MS (NMR data)
- DOI:
- 10.5287/ora-xo5mbmxo1-1 Request object version
- Created date:
- 2026-01-27
Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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