Data

Discrimination of Automotive Window Tint using ATR-FTIR Spectroscopy and Chemometrics

Curtin University
Braden Grant (Associated with, Aggregated by) Georgina Sauzier (Aggregated by) Simon Lewis (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25917/5e1fcbb939dc8&rft.title=Discrimination of Automotive Window Tint using ATR-FTIR Spectroscopy and Chemometrics&rft.identifier=10.25917/5e1fcbb939dc8&rft.publisher=Curtin University&rft.description=This dataset was collected by Braden Grant at Curtin University in 2019, under the supervision of Dr Georgina Sauzier and Prof. Simon Lewis. Automotive tints were analysed by ATR-FTIR spectroscopy. Chemometric analysis was carried out to investigate variations in the adhesive composition, which could be used to discriminate or identify tints based on their provenance for forensic purposes.   This dataset contains 1 Excel file containing raw spectra & 1 Unscrambler X file containing data analysis. It requires Unscrambler X v10.5.  &rft.creator=Braden Grant&rft.creator=Georgina Sauzier&rft.creator=Simon Lewis&rft.date=2020&rft_rights=Free for re-use under a CC BY: Attribution 4.0 licence http://creativecommons.org/licenses/by/4.0/&rft_rights=CC BY: Attribution 4.0 http://creativecommons.org/licenses/by/4.0/&rft_subject=Forensic science&rft_subject=polymers&rft_subject=infrared spectroscopy&rft_subject=chemometrics&rft_subject=Forensic Chemistry&rft_subject=CHEMICAL SCIENCES&rft_subject=OTHER CHEMICAL SCIENCES&rft_subject=Analytical Spectrometry&rft_subject=ANALYTICAL CHEMISTRY&rft.type=dataset&rft.language=English Access the data

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CC BY: Attribution 4.0
http://creativecommons.org/licenses/by/4.0/

Free for re-use under a CC BY: Attribution 4.0 licence
http://creativecommons.org/licenses/by/4.0/

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This dataset was collected by Braden Grant at Curtin University in 2019, under the supervision of Dr Georgina Sauzier and Prof. Simon Lewis. Automotive tints were analysed by ATR-FTIR spectroscopy. Chemometric analysis was carried out to investigate variations in the adhesive composition, which could be used to discriminate or identify tints based on their provenance for forensic purposes.

 

This dataset contains 1 Excel file containing raw spectra & 1 Unscrambler X file containing data analysis. It requires Unscrambler X v10.5.

 

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Identifiers
ACN 633 798 857