IMAS Metadata Catalogue
CTD
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The aim of the project was to determine the particulate organic carbon concentration in coastal polynyas and off-shelf sites south of the Polar Front. Data is collected from the CTD deployed at various stations. This record descripbes three datafiles. (1) POC_data: station, pressure, temperature, conductivity, salinity, PAR, total beam attenuation coefficients (c), attenuation by particles (cp), site, particulate organic carbon concentration (from optical measurements), rho, longitude and latitude. (2) Ammonium: station, pressure, site, ammonium, latitude, longitude (3) POC_PON_ratio: site, depth, particulate organic carbon concentration (measured) particulate organic nitrogen concentration (measured), C:N ratio.
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This record describes the conductivity-temperature-depth (CTD) data and underway water sample data collected during the CSIRO Investigator transit voyage INVTO1_2024, between 9 March and 20 March 2024. The objective of the voyage was for a safe transit from Fremantle, Western Australia, to Hobart, Tasmania. This record was part of a piggyback project whereby undergraduate students attained at-sea training through the Institute of Marine and Antarctic Studies and the University of Tasmania. The project aim was for students to gain experience with oceanographic data collection, processing and analysis. The CTD data includes 7 CTD profiles that measured conductivity, temperature, pressure, dissolved oxygen, salinity, fluorescence, turbidity and photosynthetically active radiation (PAR). Each of these parameters were collected during each CTD profile. The CTD data also includes calculated measurements of ammonium, nitrate, nitrite, phosphate, silicate, as well as chlorophyll-a, from select rosette bottles. The underway water sample data includes 41 duplicate samples of calculated measurements of chlorophyll-a and associated calculated measurements of ammonium, nitrate, nitrite, phosphate and silicate nutrient concentrations. In both data files, ODV quality flags have been used to indicate data quality.