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Mechanistic probes into the action of high-intensity ultrasound within edible lipids

    This study investigates the underlying HIU mechanism to identify which HIU behaviours are crucial to the beneficial action of HIU within edible lipid systems. This has potential to lead to amplification of behaviours beneficial to the lipid crystallisation and minimise the detrimental effects in future. This was conducted within an all-purpose shortening sample in the presence of high-intensity ultrasound (20 kHz) employing a 3.2 mm PLE tip.

    The Bronson Files, Dataset 10, Field 113, 2018 Cotton

      Dr. Kevin Bronson provides a dataset representing the third of three consecutive years of cotton and nitrogen management experimentation in Field 113 of the Maricopa Agricultural Center, Arizona USA. Included is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs. Note that the second and third year of F113 cotton experimentation includes a large utilization of depleted nitrogen-15 isotope tracing to support evaluation of nitrogen use and uptake.

      The Bronson Files, Dataset 9, Field 113, 2017 Cotton

        Dr. Kevin Bronson provides a dataset representing the second of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs. Note that the second and third year of F113 cotton experimentation includes a large utilization of depleted nitrogen-15 isotope tracing to support evaluation of nitrogen use and uptake.

        Data from: Development of an optical flow through detector for bubbles, crystals and particles within oils

          The characterization of bubbles or particles in an oil poses some unique challenges. In contrast to water solutions, the use of electrochemical detection approaches is more difficult in an oil. However, optical sensing systems have considerable potential in this area. Here we use a flow through channel approach and monitor the light propagation through this structure in an optical transmission sensor arrangement (OTS).

          The Bronson Files, Dataset 8, Field 113, 2016

            Dr. Kevin Bronson provides this dataset representing the first of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included, is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs.

            The Bronson Files, Dataset 7, Field 13, 2015

              Dr. Kevin Bronson provides a second year of water management in cotton agricultural research experiment dataset for compute, including notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, and laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs.

              The Bronson Files, Dataset 6, Field 13, 2014

                Dr. Kevin Bronson provides a unique nitrogen and water management in cotton agricultural research dataset for compute, including notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, and laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs.