A UK-based ground truth data set of GCMS analysed ignitable liquid samples — a template for making chromatographic data accessible as an open source data set

Jonathan Miller, Roberto Puch-Solis (Lead / Corresponding author), Wan Nur Syuhaila Mat Desa, Niamh Nic Daeid

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Abstract

Fire debris is often recovered as part of a fire scene investigation to determine whether an ignitable liquid might be present which may be evidence of a deliberate fire. The analysis of fire debris produces chromatograms that a forensic chemist uses to determine whether or not an ignitable liquid may be present. Currently there are very few publicly available data sets that can be used for training and statistical modelling in this area. The data set in this paper has been prepared with these two applications in mind and covers a wide range of ignitable liquids available in the UK. We created a data set of 35 ignitable liquids including petrol (gasoline), light, medium and heavy petroleum distillates (i.e diesel) from several retailers. Each ignitable liquid was systematically evaporated to produce six additional samples. Each sample was repetitively analysed to provide an overall data set of 751 analytical outputs (including chromatograms). Each data sample is expressed in multiple formats and the metadata containing any data used in the production of the samples is included. The folder and file names are designed to avoid misplacements and to manipulate folders and files systematically using computer code.
Original languageEnglish
Article number108670
Number of pages11
JournalData in Brief
Volume45
Early online date13 Oct 2022
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Ignitable Liquids
  • GCMS
  • Statistical modelling data
  • Machine learning data

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