READ ME File For 'Machine Learning for Tailored Multifunctional Properties of Lightweight Metamaterials Research Dataset'

Dataset DOI: 10.5258/SOTON/PG/D166

ReadMe Author: Peter Hawes, University of Southampton ORCID ID 0009-0006-0909-2097

This dataset supports the thesis entitled Machine Learning for Tailored Multifunctional Properties of Lightweight Metamaterials
AWARDED BY: University of Southampton
DATE OF AWARD: 2026


Date of data collection: 4th October 2021 - 1st September 2025

Information about geographic location of data collection: Bath, United Kingdom; Southampton, United Kingdom

Licence:
CC-BY

Related projects/Funders:
N/A



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DATA & FILE OVERVIEW
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This dataset contains:

A zipped file named 'Thesis_Dataset_Peter_Hawes.zip' containing a single directory with 173 excel spreadsheets in .xlsx format. 

File list:
Fig_52.xlsx
Fig_50-51.xlsx
Fig_53.xlsx
Fig_55.xlsx
Fig_56.xlsx
Fig_57.xlsx
Fig_58.xlsx
Fig_60.xlsx
Fig_61.xlsx
Fig_62.xlsx
Fig_64.xlsx
Fig_65.xlsx
Fig_66.xlsx
Fig_68.xlsx
Fig_69.xlsx
Fig_75.xlsx
Fig_76.xlsx
Fig_77.xlsx
Fig_78.xlsx
Fig_88.xlsx
Fig_89.xlsx
Fig_90.xlsx
Fig_91.xlsx
Fig_93.xlsx
Fig_94.xlsx
Fig_95.xlsx
Fig_96.xlsx
Fig_97.xlsx
Fig_98.xlsx
Fig_99.xlsx
Fig_100.xlsx
Fig_101.xlsx
Fig_102.xlsx
Fig_103.xlsx
Fig_104.xlsx
Fig_105.xlsx
Fig_106.xlsx
Fig_107.xlsx
Fig_108.xlsx
Fig_109.xlsx
Fig_110.xlsx
Fig_111.xlsx
Fig_112.xlsx
Fig_113.xlsx
Fig_114.xlsx
Fig_115.xlsx
Fig_116.xlsx
Fig_117.xlsx
Fig_118.xlsx
Fig_119.xlsx
Fig_120.xlsx
Fig_121.xlsx
Fig_129.xlsx
Fig_130.xlsx
Fig_131.xlsx
Fig_133.xlsx
Fig_134.xlsx
Fig_135.xlsx
Fig_136.xlsx
Fig_138-139.xlsx
Fig_140.xlsx
Fig_141.xlsx
Fig_142.xlsx
Fig_144.xlsx
Fig_145.xlsx
Fig_148_Example_A.xlsx
Fig_148_Example_B.xlsx
Fig_148_Example_C.xlsx
Fig_148_Example_D.xlsx
Fig_148_Example_E.xlsx
Fig_148_Example_F.xlsx
Fig_148_Example_G.xlsx
Fig_148_Example_H.xlsx
Fig_151.xlsx
Fig_152.xlsx
Fig_155.xlsx
Fig_156.xlsx
Fig_157.xlsx
Fig_158.xlsx
Fig_159.xlsx
Fig_160.xlsx
Fig_161.xlsx
Fig_162.xlsx
Fig_163.xlsx
Fig_164.xlsx
Fig_165.xlsx
Fig_166.xlsx
Fig_167.xlsx
Fig_169.xlsx
Fig_171.xlsx
Fig_172.xlsx
Fig_173.xlsx
Fig_175_Example_I.xlsx
Fig_175_Example_J.xlsx
Fig_175_Example_K.xlsx
Fig_175_Example_L.xlsx
Fig_175_Example_M.xlsx
Fig_175_Example_N.xlsx
Fig_175_Example_O.xlsx
Fig_177.xlsx
Fig_180.xlsx
Fig_182.xlsx
Fig_186.xlsx
Fig_187.xlsx
Fig_188.xlsx
Fig_189.xlsx
Fig_191.xlsx
Fig_192.xlsx
Fig_193.xlsx
Fig_194.xlsx
Fig_195.xlsx
Fig_196.xlsx
Fig_197.xlsx
Fig_198.xlsx
Fig_199.xlsx
Fig_200.xlsx
Fig_201.xlsx
Fig_202.xlsx
Fig_203.xlsx
Fig_204.xlsx
Fig_205.xlsx
Fig_206.xlsx
Fig_207.xlsx
Fig_208.xlsx
Fig_209.xlsx
Fig_213.xlsx
Fig_214.xlsx
Fig_215.xlsx
Fig_220.xlsx
Fig_221.xlsx
Fig_222.xlsx
Fig_223.xlsx
Fig_224.xlsx
Fig_225.xlsx
Fig_226.xlsx
Fig_227.xlsx
Fig_229.xlsx
Fig_230.xlsx
Fig_231.xlsx
Fig_232.xlsx
Fig_233.xlsx
Fig_234.xlsx
Fig_236_Test_Sample_14.xlsx
Fig_236_Test_Sample_45.xlsx
Fig_236_Test_Sample_83.xlsx
Fig_236_Test_Sample_104.xlsx
Fig_236_Test_Sample_183.xlsx
Fig_236_Test_Sample_281.xlsx
Fig_236_Test_Sample_300.xlsx
Fig_236_Test_Sample_375.xlsx
Fig_236_Test_Sample_421.xlsx
Fig_236_Test_Sample_494.xlsx
Fig_237.xlsx
Fig_238.xlsx
Fig_239.xlsx
Fig_240.xlsx
Fig_241_Left.xlsx
Fig_241_Right.xlsx
Fig_242_Left.xlsx
Fig_242_Right.xlsx
Fig_243_Left.xlsx
Fig_243_Right.xlsx
Fig_245.xlsx
Fig_246.xlsx
Fig_247.xlsx
Fig_248.xlsx
Fig_249.xlsx
Fig_250.xlsx
Fig_251.xlsx
Fig_252.xlsx
Fig_253.xlsx
Fig_254.xlsx
Fig_255.xlsx


Relationship between files, if important for context:  

Filenames correspond to figure numbers in the thesis.

Additional related data collected that was not included in the current data package:

N/A

If data was derived from another source, list source:

N/A

If there are multiple versions of the dataset, list the file updated, when and why update was made:

N/A

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METHODOLOGICAL INFORMATION
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A large variety of different methodologies were used to generate the dataset. Please refer to the thesis for description of methods used for collection/generation of data, processing of data, testing standards and experimental conditions. Each datafile within the dataset corresponds to a specific figure in the thesis. Full details of the testing method corresponding to each figure can be found in the preceding subsection of the thesis.

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DATA-SPECIFIC INFORMATION 
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The datafiles are formatted such that columns contain different variables and the first row contains the variable names and units of measurement corresponding to figure labels/legends. In cases where the figures feature multiple plots (e.g a and b, left and right) a separate page of the spreadsheet is used to contain the data for each plot. The pages are named accordingly to match the labels provided in the figure captions. For definitions of abbreviations or symbols used to represent variables, please refer to the relevant section of the thesis.

Date that the file was created: April, 2026