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

Dataset to support the paper 'Error assessment of a three dimensional underwater motion capture methodology'

Dataset to support the paper 'Error assessment of a three dimensional underwater motion capture methodology'
Dataset to support the paper 'Error assessment of a three dimensional underwater motion capture methodology'
This data supports the publication 'Error Assessment of a Three Dimensional Underwater Motion Capture Methodology' in a currently unspecified journal. Provided are the coordinate data for the calibrated volume (CalibrationCoordinates.csv) and coordinate data for all related trials (SystematicSectioning.csv, SystematicLength.csv, RandomOne.csv, and RandomTwo.csv).
Accuracy, Domain Error, Data Aquisition, Submerged
University of Southampton
Thompson, Izzy
e728d2cf-275b-4ee4-9663-d3e9654a9c33
Audot, Dorian Alexandre Guillaume
f3325416-c309-4129-a52a-51cc7ee487be
Hudson, Dominic
3814e08b-1993-4e78-b5a4-2598c40af8e7
Warner, Martin
f4dce73d-fb87-4f71-a3f0-078123aa040c
Banks, Joseph
3e915107-6d17-4097-8e77-99c40c8c053d
Thompson, Izzy
e728d2cf-275b-4ee4-9663-d3e9654a9c33
Audot, Dorian Alexandre Guillaume
f3325416-c309-4129-a52a-51cc7ee487be
Hudson, Dominic
3814e08b-1993-4e78-b5a4-2598c40af8e7
Warner, Martin
f4dce73d-fb87-4f71-a3f0-078123aa040c
Banks, Joseph
3e915107-6d17-4097-8e77-99c40c8c053d

Thompson, Izzy (2025) Dataset to support the paper 'Error assessment of a three dimensional underwater motion capture methodology'. University of Southampton doi:10.5258/SOTON/D2594 [Dataset]

Record type: Dataset

Abstract

This data supports the publication 'Error Assessment of a Three Dimensional Underwater Motion Capture Methodology' in a currently unspecified journal. Provided are the coordinate data for the calibrated volume (CalibrationCoordinates.csv) and coordinate data for all related trials (SystematicSectioning.csv, SystematicLength.csv, RandomOne.csv, and RandomTwo.csv).

Text
CalibrationCoordinates.csv - Dataset
Available under License Creative Commons Attribution.
Download (1kB)
Text
RandomTwo.csv - Dataset
Available under License Creative Commons Attribution.
Download (769kB)
Text
RandomOne.csv - Dataset
Available under License Creative Commons Attribution.
Download (801kB)
Text
SystematicLength.csv - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Text
SystematicSectioning.csv - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Text
README_Thompson.txt - Text
Available under License Creative Commons Attribution.
Download (1kB)

Show all 6 downloads.

More information

Published date: 9 June 2025
Related URLs:
Keywords: Accuracy, Domain Error, Data Aquisition, Submerged
Learn more about Institute for Life Sciences research

Identifiers

Local EPrints ID: 502362
URI: http://eprints.soton.ac.uk/id/eprint/502362
DOI: doi:10.5258/SOTON/D2594
PURE UUID: 41f5f0e3-004c-4c99-93c0-e684d6a9e6c5
ORCID for Izzy Thompson: ORCID iD orcid.org/0000-0002-2788-1675
ORCID for Dorian Alexandre Guillaume Audot: ORCID iD orcid.org/0000-0003-1538-7562
ORCID for Dominic Hudson: ORCID iD orcid.org/0000-0002-2012-6255
ORCID for Martin Warner: ORCID iD orcid.org/0000-0002-1483-0561
ORCID for Joseph Banks: ORCID iD orcid.org/0000-0002-3777-8962

Catalogue record

Date deposited: 24 Jun 2025 16:38
Last modified: 25 Jun 2025 02:08

Export record

Altmetrics

Contributors

Creator: Izzy Thompson ORCID iD
Contributor: Dorian Alexandre Guillaume Audot ORCID iD
Research team head: Dominic Hudson ORCID iD
Research team head: Martin Warner ORCID iD
Research team head: Joseph Banks 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.

×