Dataset
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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:doi10.26183/5d65fcb99940a&rft.title=Evaporation and photochemical effects on asphaltene profiling of heavy fuel oil&rft.identifier=10.26183/5d65fcb99940a&rft.publisher=Western Sydney University&rft.description=This data set contains GC-MS, FTIR and Pyrolysis GC-MS data on the asphaltene fraction of a heavy fuel oil. This includes fresh heavy fuel oil (unweathered heavy fuel oil) and weathered heavy fuel oil, where the weathering effects were evaporation and photo-oxidation. The data set includes heavy fuel oil that was exposed to evaporation and photo-oxidation combined (treatment samples) and also heavy fuel oil that was exposed to evaporation but not photo-oxidation (control samples). The data exploration is self-explanatory from the files provided. The data is available only for information purposes and is not licenced for reuse. The FTIR data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2016): An FTIR method for the analysis of crude and heavy fuel oil asphaltenes to assist in oil fingerprinting, Forensic Science International, Vol. 266, pp. 555-564, http://doi.org/10.1016/j.forsciint.2016.07.018 The pyrolysis GC-MS data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2017): Pyrolysis-GC-MS analysis of crude and heavy fuel oil asphaltenes for application in oil fingerprinting, Environmental Forensics, Vol. 19, No 1, pp. 14-26, http://doi.org/10.1080/15275922.2017.1408163 The GC-MS data was obtained using the methods described in European Committee for Standardization (CEN). 2012. Oil spill identification - waterborne petroleum and petroleum products - Part 2: analytical methodology and interpretation of results based on GC-FID and GC-MS low resolution analyses. Brussels, Belgium, no. CEN/TR 15522-2: 2012.&rft.creator=Joshua Thompson&rft.date=2019&rft.relation=10.1080/15275922.2017.1408163&rft.relation=10.1016/j.forsciint.2016.07.018&rft.coverage=Richmond, NSW&rft.coverage=150.77122808799,-33.61634431406 150.77122808799,-33.616142147323 150.77098532214,-33.616142147323 150.77098532214,-33.61634431406 150.77122808799,-33.61634431406&rft.coverage=150.77122808799,-33.61634431406 150.77122808799,-33.616142147323 150.77098532214,-33.616142147323 150.77098532214,-33.61634431406 150.77122808799,-33.61634431406 150.73380590781,-33.604049453237 150.73380590781,-33.603847257664 150.73356314197,-33.603847257664 150.73356314197,-33.604049453237 150.73380590781,-33.604049453237&rft.coverage=150.77122808799,-33.61634431406 150.77122808799,-33.616142147323 150.77098532214,-33.616142147323 150.77098532214,-33.61634431406 150.77122808799,-33.61634431406 150.73380590781,-33.604049453237 150.73380590781,-33.603847257664 150.73356314197,-33.603847257664 150.73356314197,-33.604049453237 150.73380590781,-33.604049453237 150.75114370689,-33.610340066223 150.75114370689,-33.610137885403 150.75090094104,-33.610137885403 150.75090094104,-33.610340066223 150.75114370689,-33.610340066223&rft.coverage=150.77122808799,-33.61634431406 150.77122808799,-33.616142147323 150.77098532214,-33.616142147323 150.77098532214,-33.61634431406 150.77122808799,-33.61634431406 150.73380590781,-33.604049453237 150.73380590781,-33.603847257664 150.73356314197,-33.603847257664 150.73356314197,-33.604049453237 150.73380590781,-33.604049453237 150.75114370689,-33.610340066223 150.75114370689,-33.610137885403 150.75090094104,-33.610137885403 150.75090094104,-33.610340066223 150.75114370689,-33.610340066223 150.70810697973,-33.627821683929 150.70810697973,-33.594940531852 150.78157804906,-33.594940531852 150.78157804906,-33.627821683929 150.70810697973,-33.627821683929&rft_rights=The data is available only for information purposes and is not licenced for reuse&rft_rights=&rft_subject=asphaltene profiling&rft_subject=Instrumental Methods (excl. Immunological and Bioassay Methods)&rft_subject=CHEMICAL SCIENCES&rft_subject=ANALYTICAL CHEMISTRY&rft_subject=Separation Science&rft_subject=Forensic Chemistry&rft_subject=OTHER CHEMICAL SCIENCES&rft_subject=Ecosystem Assessment and Management of Marine Environments&rft_subject=ENVIRONMENT&rft_subject=ECOSYSTEM ASSESSMENT AND MANAGEMENT&rft_subject=Health Protection and/or Disaster Response&rft_subject=HEALTH&rft_subject=PUBLIC HEALTH (EXCL. SPECIFIC POPULATION HEALTH)&rft_subject=Physical and Chemical Conditions of Water in Marine Environments&rft_subject=PHYSICAL AND CHEMICAL CONDITIONS OF WATER&rft_subject=Applied research&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

No Licence view details
No licence

The data is available only for information purposes and is not licenced for reuse

Access:

Open view details

The data can be accessed via the Attachments section of the Western Sydney ResearchDirect record
https://doi.org/10.26183/5d65fcb99940a

Contact Information

v.spikmans@westernsydney.edu.au
Western Sydney University

Full description

This data set contains GC-MS, FTIR and Pyrolysis GC-MS data on the asphaltene fraction of a heavy fuel oil. This includes fresh heavy fuel oil (unweathered heavy fuel oil) and weathered heavy fuel oil, where the weathering effects were evaporation and photo-oxidation. The data set includes heavy fuel oil that was exposed to evaporation and photo-oxidation combined (treatment samples) and also heavy fuel oil that was exposed to evaporation but not photo-oxidation (control samples). The data exploration is self-explanatory from the files provided. The data is available only for information purposes and is not licenced for reuse.

The FTIR data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2016): An FTIR method for the analysis of crude and heavy fuel oil asphaltenes to assist in oil fingerprinting, Forensic Science International, Vol. 266, pp. 555-564, http://doi.org/10.1016/j.forsciint.2016.07.018

The pyrolysis GC-MS data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2017): Pyrolysis-GC-MS analysis of crude and heavy fuel oil asphaltenes for application in oil fingerprinting, Environmental Forensics, Vol. 19, No 1, pp. 14-26, http://doi.org/10.1080/15275922.2017.1408163

The GC-MS data was obtained using the methods described in European Committee for Standardization (CEN). 2012. Oil spill identification - waterborne petroleum and petroleum products - Part 2: analytical methodology and interpretation of results based on GC-FID and GC-MS low resolution analyses. Brussels, Belgium, no. CEN/TR 15522-2: 2012.

Created: 18 08 2019

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text: Richmond, NSW