The University of Southampton
University of Southampton Institutional Repository

Dataset for "An experimental investigation of a high Reynolds number turbulent wake generated by a vehicle-like bluff body"

Dataset for "An experimental investigation of a high Reynolds number turbulent wake generated by a vehicle-like bluff body"
Dataset for "An experimental investigation of a high Reynolds number turbulent wake generated by a vehicle-like bluff body"
Files containing the coordinates and 3-component mean velocity fields. Paper DOI: https://doi.org/10.1103/5m65-46ng
University of Southampton
Midya, Samaresh
909e2f87-475e-4668-93c5-bbb74054464c
Symon, Sean
2e1580c3-ba27-46e8-9736-531099f3d850
Midya, Samaresh
909e2f87-475e-4668-93c5-bbb74054464c
Symon, Sean
2e1580c3-ba27-46e8-9736-531099f3d850

Symon, Sean (2025) Dataset for "An experimental investigation of a high Reynolds number turbulent wake generated by a vehicle-like bluff body". University of Southampton doi:10.5258/SOTON/D3580 [Dataset]

Record type: Dataset

Abstract

Files containing the coordinates and 3-component mean velocity fields. Paper DOI: https://doi.org/10.1103/5m65-46ng

Archive
supplementaryMaterial.zip - Dataset
Available under License Creative Commons Attribution.
Download (194MB)
Text
readme_D3580.txt - Text
Available under License Creative Commons Attribution.
Download (1kB)

More information

Published date: 2025

Identifiers

Local EPrints ID: 503757
URI: http://eprints.soton.ac.uk/id/eprint/503757
PURE UUID: 622c8c4b-d011-472a-ab50-999a2598c545

Catalogue record

Date deposited: 12 Aug 2025 17:03
Last modified: 12 Aug 2025 17:11

Export record

Altmetrics

Contributors

Contributor: Samaresh Midya
Creator: Sean Symon

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

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.

×