Data supporting the University of Southampton PhD Thesis titled: "Surface Acoustic Wave Corrosion Sensors for Liquified Natural Gas tank monitoring"
Data supporting the University of Southampton PhD Thesis titled: "Surface Acoustic Wave Corrosion Sensors for Liquified Natural Gas tank monitoring"
Data supporting the University of Southampton PhD Thesis titled: "Surface Acoustic Wave Corrosion Sensors for Liquified Natural Gas tank monitoring".
This dataset includes Thesis_data_for_Pure.zip file. The majority of the data was collected using the Vector Network Analyzer that records the S11 response. The data were processed with OriginLab and Python scripts to produce the figures. Some figures show data collected by SEM images. Some figure show data collected by a wireless reader module. The module records the resonant frequency and magnitude of the wireless signals received. Some data were produced by simulations. Each csv file is named after the corresponding figure in the Thesis.
University of Southampton
Moutoulas, Evangelos
86e8e615-7ca3-4106-aec1-94f6005dd0a9
Moutoulas, Evangelos
86e8e615-7ca3-4106-aec1-94f6005dd0a9
Moutoulas, Evangelos
(2024)
Data supporting the University of Southampton PhD Thesis titled: "Surface Acoustic Wave Corrosion Sensors for Liquified Natural Gas tank monitoring".
University of Southampton
doi:10.5258/SOTON/D3121
[Dataset]
Abstract
Data supporting the University of Southampton PhD Thesis titled: "Surface Acoustic Wave Corrosion Sensors for Liquified Natural Gas tank monitoring".
This dataset includes Thesis_data_for_Pure.zip file. The majority of the data was collected using the Vector Network Analyzer that records the S11 response. The data were processed with OriginLab and Python scripts to produce the figures. Some figures show data collected by SEM images. Some figure show data collected by a wireless reader module. The module records the resonant frequency and magnitude of the wireless signals received. Some data were produced by simulations. Each csv file is named after the corresponding figure in the Thesis.
Archive
Thesis_data_for_Pure.zip
- Dataset
Text
D3121_thesis_readme.txt
- Text
More information
Published date: June 2024
Identifiers
Local EPrints ID: 491362
URI: http://eprints.soton.ac.uk/id/eprint/491362
PURE UUID: 13c62871-8e15-4015-bd47-a4bf889871c2
Catalogue record
Date deposited: 20 Jun 2024 16:56
Last modified: 21 Jun 2024 17:06
Export record
Altmetrics
Contributors
Creator:
Evangelos Moutoulas
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