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  • These files contain the metadata adopted and MATLAB code edited as well as visual plots generated in the Hongkun Honour's project. The data mainly includes the shipboard ADCP data and vertical cast type of Triaxus data collected from RV Investigator during the voyage IN2016V04 and IN2018T01 and satellite data (chlorophyll, sea level anomaly & sea surface temperature) collected from the IMOS website on the study region. The data was processed in MATLAB and then used to find visualization results, with the ultimate aim of exploring the potential of Triaxus in biogeochemistry.

  • This record contains: 1. Thesis 2. The MATLAB codes of the adaptive Canny gradient-based edge detection algorithm and calculating frontal probability/density (for AVHRR data and MODIS data separately). 3. Frontal probability (probability of frontal encounter, PFE) and frontal density (FD) data over Australian hotspot regions (for AVHRR data and MODIS data separately) 4. Results of the Mann-Kendall trend test The purpose of this study is to verify the regional trends of frontal activity within the two marine hotspots near Australia and compare the performance of the two edge detection algorithms.

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    The dataset was collected on the research voyage (IN2018_V05 on RV Investigator) and from satellite observations. The dataset includes in-situ data and satellite data collected at the Polar Front (PF) south of Tasmania in a region where the Antarctic Circumpolar Current (ACC) has a permanent meander upstream of the Macquarie Ridge. This study characterises the upwelling of Circumpolar Deep Water (CDW) in a standing meander of the ACC in the PF south of Tasmania and investigates the submesoscale processes associated with upwelling.