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Data set in support of the doctoral thesis: 'Ultra-high molecular weight polyethylene nanocomposites for enhanced dielectric, thermal and mechanical performance in polypropylene ‒ advancing towards a more sustainable high voltage power grid'

Data set in support of the doctoral thesis: 'Ultra-high molecular weight polyethylene nanocomposites for enhanced dielectric, thermal and mechanical performance in polypropylene ‒ advancing towards a more sustainable high voltage power grid'
Data set in support of the doctoral thesis: 'Ultra-high molecular weight polyethylene nanocomposites for enhanced dielectric, thermal and mechanical performance in polypropylene ‒ advancing towards a more sustainable high voltage power grid'
This is the raw data in Excel file format of all the results presented in the thesis. This dataset contains: 5 Excel files containing datasets produced in the thesis of each chapter (Chapter 4 to Chapter 8).
University of Southampton
Ketsamee, Phichet
320757bd-99cd-43d2-a8e8-b8100f15f461
Andritsch, Thomas
8681e640-e584-424e-a1f1-0d8b713de01c
Vaughan, Alun
6d813b66-17f9-4864-9763-25a6d659d8a3
Saeedi, Istebreq
6df4dfcf-9bb8-4edc-952e-ccc4841f7b54
Ketsamee, Phichet
320757bd-99cd-43d2-a8e8-b8100f15f461
Andritsch, Thomas
8681e640-e584-424e-a1f1-0d8b713de01c
Vaughan, Alun
6d813b66-17f9-4864-9763-25a6d659d8a3
Saeedi, Istebreq
6df4dfcf-9bb8-4edc-952e-ccc4841f7b54

Ketsamee, Phichet (2024) Data set in support of the doctoral thesis: 'Ultra-high molecular weight polyethylene nanocomposites for enhanced dielectric, thermal and mechanical performance in polypropylene ‒ advancing towards a more sustainable high voltage power grid'. University of Southampton doi:10.5258/SOTON/D2942 [Dataset]

Record type: Dataset

Abstract

This is the raw data in Excel file format of all the results presented in the thesis. This dataset contains: 5 Excel files containing datasets produced in the thesis of each chapter (Chapter 4 to Chapter 8).

Text
Readme.txt - Text
Available under License Creative Commons Attribution.
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Spreadsheet
Data_Chapter_4.xlsx - Dataset
Available under License Creative Commons Attribution.
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Spreadsheet
Data_Chapter_5.xlsx - Dataset
Available under License Creative Commons Attribution.
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Spreadsheet
Data_Chapter_6.xlsx - Dataset
Available under License Creative Commons Attribution.
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Spreadsheet
Data_Chapter_7.xlsx - Dataset
Available under License Creative Commons Attribution.
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Spreadsheet
Data_Chapter_8.xlsx - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 2024
Learn more about School of Electronics and Computer Science research Learn more about Electrical Power Engineering research

Identifiers

Local EPrints ID: 486484
URI: http://eprints.soton.ac.uk/id/eprint/486484
DOI: doi:10.5258/SOTON/D2942
PURE UUID: cac263a4-9023-4a90-8daa-53c7d340a2f4
ORCID for Phichet Ketsamee: ORCID iD orcid.org/0000-0003-1733-6806
ORCID for Thomas Andritsch: ORCID iD orcid.org/0000-0002-3462-022X
ORCID for Alun Vaughan: ORCID iD orcid.org/0000-0002-0535-513X
ORCID for Istebreq Saeedi: ORCID iD orcid.org/0000-0002-1254-748X

Catalogue record

Date deposited: 24 Jan 2024 17:36
Last modified: 30 Nov 2024 05:01

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Contributors

Creator: Phichet Ketsamee ORCID iD
Research team head: Thomas Andritsch ORCID iD
Research team head: Alun Vaughan ORCID iD
Research team head: Istebreq Saeedi ORCID iD

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