Research Data Leeds Repository

A Plantar Surface Shear Strain Methodology Utilising Digital Image Correlation Data Set

Citation

Crossland, Sarah R. and Culmer, Peter R. and Brockett, Claire (2023) A Plantar Surface Shear Strain Methodology Utilising Digital Image Correlation Data Set. University of Leeds. [Dataset] https://doi.org/10.5518/1254¹

This item is part of the Tribology of the Plantar Aspect in Relation to Diabetic Ulceration² collection.

Dataset description

This data set contains the collated data for participants 1-6 from the study "A Plantar Surface Shear Strain Methodology Utilising Digital Image Correlation", showing anatomical regional outputs for strain within corresponding regions of interest.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Keywords:	plantar, shear, strain, digital image correlation
Divisions:	Faculty of Engineering and Physical Sciences > School of Mechanical Engineering3
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/35/4 Dataset https://doi.org/10.1016/j.jmbbm.2022.1054825 Publication https://eprints.whiterose.ac.uk/191339/6 Publication
Date deposited:	10 Mar 2023 13:28
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/10787
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Crossland, Sarah R. https://orcid.org/0000-0002-1183-02758 University of Leeds https://ror.org/024mrxd33 ror Culmer, Peter R. https://orcid.org/0000-0003-2867-04209 University of Leeds https://ror.org/024mrxd33 ror Brockett, Claire https://orcid.org/0000-0002-6664-725910 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/L01629X/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: s.r.crossland1@leeds.ac.uk11 Last Modified: 26 Nov 2024 09:34

Files

Documentation

Dataset Information [3kB] 12 Dataset Information [3kB] 13 Dataset Information [3kB] 14 Security: Anyone File name: README_Crossland_2023.txt15 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

• 1. https://doi.org/10.5518/1254
• 2. /view/collections/Tribology_of_the_Plantar_Aspect_in_Relation_to_Diabetic_Ulceration.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/SME/
• 4. https://radar.researchdata.leeds.ac.uk/35/
• 5. https://doi.org/10.1016/j.jmbbm.2022.105482
• 6. https://eprints.whiterose.ac.uk/191339/
• 7. https://archive.researchdata.leeds.ac.uk/id/eprint/1078
• 8. https://orcid.org/0000-0002-1183-0275
• 9. https://orcid.org/0000-0003-2867-0420
• 10. https://orcid.org/0000-0002-6664-7259
• 11. mailto:s.r.crossland1@leeds.ac.uk
• 12. https://archive.researchdata.leeds.ac.uk/1078/1/README_Crossland_2023.txt
• 13. https://archive.researchdata.leeds.ac.uk/1078/1/README_Crossland_2023.txt
• 14. https://archive.researchdata.leeds.ac.uk/1078/1/README_Crossland_2023.txt
• 15. https://archive.researchdata.leeds.ac.uk/1078/1/README_Crossland_2023.txt