Dataset for "Physics-informed Gaussian process regression for particle-tracking data assimilation"
Dataset for "Physics-informed Gaussian process regression for particle-tracking data assimilation"
This dataset supports the publication:
Lawson, J. M. Physics-informed Gaussian process regression for particle-tracking data assimilation. Phys. Rev. Fluids 2026, 00:004900, 2026. doi:10.1103/zvm4-wtkq
This dataset contains statistics for the validation of Physics-Informed Gaussian Process Regression using synthetic and experimental datasets.
Summary statistics for all three cases (homogeneous isotropic turbulence, turbulent channel flow and square prism wake) are provided.
Additionally, MATLAB code is provided to reproduce figures from the article.
University of Southampton
Lawson, John
4e0b1895-51c5-41e6-9322-7f79e76e0e4c
Lawson, John
4e0b1895-51c5-41e6-9322-7f79e76e0e4c
Lawson, John
(2026)
Dataset for "Physics-informed Gaussian process regression for particle-tracking data assimilation".
University of Southampton
doi:10.5258/SOTON/D3642
[Dataset]
Abstract
This dataset supports the publication:
Lawson, J. M. Physics-informed Gaussian process regression for particle-tracking data assimilation. Phys. Rev. Fluids 2026, 00:004900, 2026. doi:10.1103/zvm4-wtkq
This dataset contains statistics for the validation of Physics-Informed Gaussian Process Regression using synthetic and experimental datasets.
Summary statistics for all three cases (homogeneous isotropic turbulence, turbulent channel flow and square prism wake) are provided.
Additionally, MATLAB code is provided to reproduce figures from the article.
Archive
PRF_PIGPR.zip
- Dataset
More information
Published date: 6 January 2026
Identifiers
Local EPrints ID: 507880
URI: http://eprints.soton.ac.uk/id/eprint/507880
PURE UUID: 8d867745-2415-4341-bc1a-d8eed32fcdd9
Catalogue record
Date deposited: 07 Jan 2026 16:19
Last modified: 08 Jan 2026 03:03
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