Dataset for "Pressure gradient history effects on integral quantities of turbulent boundary layers: Experiments and data-driven models"
Dataset for "Pressure gradient history effects on integral quantities of turbulent boundary layers: Experiments and data-driven models"
Dataset for Pressure gradient history effects on integral quantities of turbulent boundary layers: Experiments and data-driven models . .mat and .pkl files containing dataset for the paper. The dataset is obtained from PIV flow feilds and OFI to measure the wall shear stress. The read-me file outlines the dataset and what is contained within each file.
University of Southampton
Virgilio, Marco
059fcc1a-721e-4d48-9933-e7f4ddc82fde
Preskett, Thomas David
6d4ea9c7-3f9d-4394-8e15-eb1e50dc829b
Jaiswal, Prateek
eca47561-3abe-4b48-b914-9b274eb9765a
Ganapathisubramani, Bharath
5e69099f-2f39-4fdd-8a85-3ac906827052
Virgilio, Marco
059fcc1a-721e-4d48-9933-e7f4ddc82fde
Preskett, Thomas David
6d4ea9c7-3f9d-4394-8e15-eb1e50dc829b
Jaiswal, Prateek
eca47561-3abe-4b48-b914-9b274eb9765a
Ganapathisubramani, Bharath
5e69099f-2f39-4fdd-8a85-3ac906827052
Virgilio, Marco
(2025)
Dataset for "Pressure gradient history effects on integral quantities of turbulent boundary layers: Experiments and data-driven models".
University of Southampton
doi:10.5258/SOTON/D3491
[Dataset]
Abstract
Dataset for Pressure gradient history effects on integral quantities of turbulent boundary layers: Experiments and data-driven models . .mat and .pkl files containing dataset for the paper. The dataset is obtained from PIV flow feilds and OFI to measure the wall shear stress. The read-me file outlines the dataset and what is contained within each file.
Archive
Dataset_for_Pressure_gradient_history_effects.rar
- Dataset
Text
README.txt
- Dataset
More information
Published date: 2025
Identifiers
Local EPrints ID: 502029
URI: http://eprints.soton.ac.uk/id/eprint/502029
PURE UUID: 5a8cbdaa-3f72-4699-95ad-2efdabcf97af
Catalogue record
Date deposited: 13 Jun 2025 17:20
Last modified: 14 Jun 2025 02:17
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Contributors
Creator:
Marco Virgilio
Data Collector:
Thomas David Preskett
Data Collector:
Prateek Jaiswal
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