These files include a subset of the data used in the manuscript entitled 'Inserting an index of motion degradation into the analysis of MRI data (QUIQI)', and its associated set of analysis results. The code used to compile these results is available here: QUIQI Analysis script - inserting an index of motion degradation into the analysis of MRI data | Zenodo). CONTENT The provided data contains 123 datasets selected from the original cohort by sampling randomly up to 10 datasets in age bins of 5 years, ranging from 10 to 100 y.o.. These datasets are contained in separate folders labelled ���sub-001��� to ���sub-123���. Each dataset contains the following items: - Contrast-specific R2* maps, computed from MT-, PD- and T1-weighted raw data. The corresponding data file names end with ���_MTw_R2s���, ���_PDw_R2s���, ���_T1w_R2s��� respectively. Separate files are provided for voxels belonging to the grey and white matter tissue classes (files name with ���p1��� and ���p2��� respectively) - Grey and white matter tissue probability maps (starting with ���mwc1��� and ���mwc2��� respectively), used for the computation of explicit masks for data analysis. The provided data also contains the following items: - Neuromorphometrics folder: grey matter atlas computed from the maximum probability tissue labels derived from the ���MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labeling��� (https://masi.vuse.vanderbilt.edu/workshop2012/index.php/Challenge_Details), computed from MRI scans originating from the OASIS project (http://www.oasis-brains.org/) and labelled data provided by Neuromorphometrics, Inc. (http://neuromorphometrics.com/) under academic subscription. - The folders Analysis_Full, Analysis_Residuals, Analysis_Exclusion and Analysis_Specificity contain the analysis results described in the original scientific publication, and obtained using the publicly available analysis code available here: . - Subject_Details.mat: matlab structure containing the data information required for analysis.