The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Dataset for Paper "A bioengineering investigation of cervical collar design and fit: implications on skin health"

Dataset for Paper "A bioengineering investigation of cervical collar design and fit: implications on skin health"
Dataset for Paper "A bioengineering investigation of cervical collar design and fit: implications on skin health"
This data supports the paper "A Bioengineering Investigation of Cervical Collar Design and Fit: Implications on Skin Health", DOI: https://doi.org/10.1016/j.clinbiomech.2024.106178 and forms part of the work contributing to the PhD thesis of Laurence Russell (ORCID: 0000-0003-4104-8417). This data set contains CSV files containing data recorded from testing of cervical collars on individual volunteers across a range of methods, as well as the demographics of the participants in a separate file. Dataset DOI: https://doi.org/10.5258/SOTON/D3946
University of Southampton
Russell, Laurence
3fa7fbff-8dd3-449e-8b79-97eb8a97a4d3
Worsley, Pete
6d33aee3-ef43-468d-aef6-86d190de6756
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Filingeri, Davide
42502a34-e7e6-4b49-b304-ce2ae0bf7b24
Russell, Laurence
3fa7fbff-8dd3-449e-8b79-97eb8a97a4d3
Worsley, Pete
6d33aee3-ef43-468d-aef6-86d190de6756
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Filingeri, Davide
42502a34-e7e6-4b49-b304-ce2ae0bf7b24

Russell, Laurence (2025) Dataset for Paper "A bioengineering investigation of cervical collar design and fit: implications on skin health". University of Southampton doi:10.5258/SOTON/D3946 [Dataset]

Record type: Dataset

Abstract

This data supports the paper "A Bioengineering Investigation of Cervical Collar Design and Fit: Implications on Skin Health", DOI: https://doi.org/10.1016/j.clinbiomech.2024.106178 and forms part of the work contributing to the PhD thesis of Laurence Russell (ORCID: 0000-0003-4104-8417). This data set contains CSV files containing data recorded from testing of cervical collars on individual volunteers across a range of methods, as well as the demographics of the participants in a separate file. Dataset DOI: https://doi.org/10.5258/SOTON/D3946

Text
MiamiJ_Data.csv - Dataset
Available under License Creative Commons Attribution.
Download (2kB)
Text
AspenVista_Data.csv - Dataset
Available under License Creative Commons Attribution.
Download (1kB)
Text
Philadelphia_Data.csv - Dataset
Available under License Creative Commons Attribution.
Download (2kB)
Text
Stiffneck_Data.csv - Dataset
Available under License Creative Commons Attribution.
Download (2kB)
Text
Participant_Demographics.csv - Dataset
Available under License Creative Commons Attribution.
Download (3kB)
Text
README.txt - Dataset
Available under License Creative Commons Attribution.
Download (5kB)

Show all 6 downloads.

More information

Published date: 13 December 2025
Learn more about the Institute for Life Sciences Learn more about the Institute for Life Sciences

Identifiers

Local EPrints ID: 511830
URI: http://eprints.soton.ac.uk/id/eprint/511830
DOI: doi:10.5258/SOTON/D3946
PURE UUID: f5b8d878-39a3-4629-b093-45f8c30f2f4d
ORCID for Laurence Russell: ORCID iD orcid.org/0000-0003-4104-8417
ORCID for Pete Worsley: ORCID iD orcid.org/0000-0003-0145-5042
ORCID for Liudi Jiang: ORCID iD orcid.org/0000-0002-3400-825X
ORCID for Davide Filingeri: ORCID iD orcid.org/0000-0001-5652-395X

Catalogue record

Date deposited: 04 Jun 2026 16:45
Last modified: 05 Jun 2026 02:17

Export record

Altmetrics

Contributors

Creator: Laurence Russell ORCID iD
Research team head: Pete Worsley ORCID iD
Research team head: Liudi Jiang ORCID iD
Research team head: Davide Filingeri ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×