Dataset in support of the Southampton doctoral thesis 'Resolvent-based models for nonlinear solutions of wall-bounded flows and statistical estimation of chaotic systems'
Dataset in support of the Southampton doctoral thesis 'Resolvent-based models for nonlinear solutions of wall-bounded flows and statistical estimation of chaotic systems'
This data set is available upon request due to its large size. Please complete the request form available at: https://library.soton.ac.uk/datarequest
There are three main components to this dataset:
1. DNS flow data for Rotating-Plane Couette Flow (RPCF) stored in binary files that can be directly read (see: https://github.com/The-ReSolver/rpcf for details on how the data is stored);
2. Chaotic simulation and optimisation data for the Lorenz system, stored in a HDF5 file format;
3. Optimisation data for equilibrium and periodic solutions for RPCF displayed in the thesis, stored in a JLD2 file format (see: https://github.com/JuliaIO/JLD2.jl)
A README file is available that describes the content of the data in more detail.
University of Southampton
Burton, Thomas
68513172-dfe6-43f5-894b-fa83cf962237
Burton, Thomas
68513172-dfe6-43f5-894b-fa83cf962237
Burton, Thomas
(2025)
Dataset in support of the Southampton doctoral thesis 'Resolvent-based models for nonlinear solutions of wall-bounded flows and statistical estimation of chaotic systems'.
University of Southampton
doi:10.5258/SOTON/D3555
[Dataset]
Abstract
This data set is available upon request due to its large size. Please complete the request form available at: https://library.soton.ac.uk/datarequest
There are three main components to this dataset:
1. DNS flow data for Rotating-Plane Couette Flow (RPCF) stored in binary files that can be directly read (see: https://github.com/The-ReSolver/rpcf for details on how the data is stored);
2. Chaotic simulation and optimisation data for the Lorenz system, stored in a HDF5 file format;
3. Optimisation data for equilibrium and periodic solutions for RPCF displayed in the thesis, stored in a JLD2 file format (see: https://github.com/JuliaIO/JLD2.jl)
A README file is available that describes the content of the data in more detail.
More information
Published date: June 2025
Identifiers
Local EPrints ID: 502223
URI: http://eprints.soton.ac.uk/id/eprint/502223
PURE UUID: 1bc8ac8d-22a5-453c-9994-faf5e27c21f3
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Date deposited: 18 Jun 2025 16:44
Last modified: 18 Jun 2025 17:04
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Contributors
Creator:
Thomas Burton
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