Dataset for Nonlinear viscoelastic models improve characterisation of 6 DOF intervertebral disc load response at low strain rates

The data presented in this file comprises the 6 DOF position control data from tests performed on 6 porcine lumbar isolated spinal disc specimens using a triangular displacement waveform at a frequency of 0.1Hz. Data is presented relative to the centre of the intervertebral disc. The final three cycles are presented here. For each of the six specimens and for each of the six axes, data is provided for the applied displacement and each of the 6 resulting loads (forces and moments). The principal elements (highlighted in the tables) occur when the direction of applied displacement and measured load are the same - for example, axial torsion displacement (RZ) and torsional load (MZ). The data has been filtered to remove unwanted noise but no other pre-processing steps have been performed on this data - for example, cycle averaging and offsetting the central point to the origin.

Keywords:
porcine lumbar spine, position control, spine biomechanics, spine data, in vitro testing
Subjects:
Materials sciences
Medical and health interface

Cite this dataset as:
Hayward, S., 2026. Dataset for Nonlinear viscoelastic models improve characterisation of 6 DOF intervertebral disc load response at low strain rates. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01524.

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Data

Experimental Data.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (11MB)
Creative Commons: Attribution 4.0

Creators

Contributors

Tony Miles
Supervisor
University of Bath

Patrick Keogh
Supervisor
University of Bath

Sabina Gheduzzi
Supervisor
University of Bath

University of Bath
Rights Holder

Documentation

Data collection method:

The methodology can be found in the associated paper.

Documentation Files

readme.txt
text/plain (900B)
Creative Commons: Attribution 4.0

Funders

Publication details

Publication date: 6 January 2026
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01524

URL for this record: https://researchdata.bath.ac.uk/1524

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Samantha Hayward

Departments:

Faculty of Engineering & Design
Mechanical Engineering

Research Centres & Institutes
Centre for Bioengineering & Biomedical Technologies (CBio)