How to cite this Dataset
Lellman, Sophie and Cramer, Rainer (2024): Dataset to support LAP-MALDI MS profiling and identification of biomarkers for the detection of bovine tuberculosis. University of Reading. Dataset. https://doi.org/10.17864/1947.000443
Description
This dataset contains LAP MALDI MS profile data from 95 cattle nasal swabs, as well as MS/MS data performed in order to identify biomarkers detected in the MS profiles. Subsequent PCA and LDA analysis was performed, whose models are contained within this dataset alongside their respective cross-validation. An in-house built LAP-MALDI MS coupled to a Synapt G2-Si was used for all data acquisitions. All data presented was acquired between February 2022 and December 2022.
| Resource Type: | Dataset |
|---|---|
| Creators: | Lellman, Sophie  ORCID: https://orcid.org/0000-0002-1208-8260 and Cramer, Rainer ORCID: https://orcid.org/0000-0002-8037-2511 |
| Rights-holders: | Crown |
| Data Publisher: | University of Reading |
| Publication Year: | 2024 |
| Data last accessed: | 20 November 2024 |
| DOI: | https://doi.org/10.17864/1947.000443 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/443 |
| Organisational units: | Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry |
| Participating Organisations: | University of Reading |
| Keywords: | diagnostics, matrix assisted laser desorption ionisation (MALDI), mass spectrometry, bovine tuberculosis, bovine disease |
| Rights: | |
| Data Availability: | OPEN |
Related CentAUR publications
Altmetric
Actions (Log-in required)
View item