This dataset contains Key analysis and plotting scripts, data, and sample images. 3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT Journal of Orthopaedic Research | DOI: 10.1002/jor.25629 Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2) 1Department of Applied Physics, University of Eastern Finland 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University 4Science Service Center, Kuopio University Hospital, Kuopio, Finland 5School of Information Technology and Electrical Engineering, The University of Queensland *Corresponding author Mikko J. Nissi Department of Technical Physics University of Eastern Finland, Kuopio Finland POB 1627 70211 Kuopio mikko.nissi@uef.fi +358-50-5955517 Running title: ‘3D T1 of mild PTOA using MB-SWIFT’ Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content. Included folders and files are: - Article_figures: all figures published in the manuscript (.svg format) - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis. - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files: - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. - Analysis: Key scripts used for analysis and plotting. - README.txt: this file describing the contents of the dataset. See more info in separate readme files included in sub-folders. (Swetha Pala, 31 May 2023)

Other Grants: Finnish Cultural Foundation (#00180787), North-Savonia Regional Fund (#65211960), NWO Graduate Programme Grant (022.005.018), and support from the Dutch Arthritis Association grant LLP‐ 22.