This data package supports the publication A methodology for the generation and non-destructive characterisation of transverse fractures in long bones. Fernando Y. Zapata-Cornelio, Zhongmin Jin, David C. Barton, Alison C. Jones, Ruth K. Wilcox Bone Reports 2018 It contains the following: CT_Images: The microCt data from each specimen tested stored as stacks of transverse tiff images -------------------------------- Figure 2 data and code: The matlab files and example outputs as applied to SP23_THR_120_TIFF. Specifically: Projections.m: Matlab program to derive projections from image stack and apply smoothing MainSmoothingRawProfile.m Used within Projections.m to perform smoothing GaussianFilter.m Filter called from within MainSmoothingRawProfile.m Profile3D.csv: The resulting 3D profile SmoothedProfile.csv The resulting smoothed profile *** NOTE: move the SP23_THR_120_TIFF directory into the same folder as the matlab files before running, located in the CT_Images folder. -------------------------------- Figure 3 and 4 data and code: The matlab file and resulting outputs for the artificially generated waveforms. Specifically: ArtificialProfiles_FromMatlab_FrequencyTest.m Matlab program to generate artificial waveforms Sine.csv The resulting sine waveform Saw.csv The resulting sawtooth waveform Tri.csv The resulting triangular waveform -------------------------------- Figure 6 data: The errors from the theoretical values for different fidelities and numbers of waveforms. Specifically: Figure6a.csv Data presented in Figure 6a ('high fidelity' waveforms, wavelength of 1 circumference) Figure6b.csv Data presented in Figure 6b (waveforms with resolution matching HR-pQCT, wavelength of 1 circumference) Figure6c.csv Data presented in Figure 6c (waveforms captured from artificially generated CT images, wavelength of 1 circumference) Figure6d.csv Data presented in Figure 6d (1 - 3 full waves around circumference) -------------------------------- Figure 7 code: Example of application of different smoothing kernals to SP35_THR_120_TIFF. Specifically: Projections.m: Matlab program to derive proections from image stack and apply smoothing, outputting data in Figure 7 MainSmoothingRawProfile.m Used within Projections.m to perform smoothing GaussianFilter.m Filter called from within MainSmoothingRawProfile.m *** NOTE: move the SP35_THR_120_TIFF directory into the same folder as the matlab files before running, CT_Images folder. -------------------------------- Figure 8 data: Roughness_Data_for Paper.csv Data presented in Figure 8, with values obtained for each kernal size and specimen.