Data

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

Curtin University
Grant, Braden ; Sauzier, Georgina ; Lewis, Simon
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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=Grant, Braden &rft.creator=Sauzier, Georgina &rft.creator=Lewis, Simon &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.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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