IMAS Metadata Catalogue
SALINITY
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Samples of Temperature and Salinity from a CTD profile have been measured at Station 2 in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at 6 Stations in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at Station1 in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at Station 5 in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at Station 9 in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at Station 6 in the Derwent Estuary between August 2012 and January 2013.
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Samples of Temperature and Salinity from a CTD profile have been measured at Station 3 in the Derwent Estuary between August 2012 and January 2013.
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Biological ocean data collected from ships find reuse in aggregations of historical data. These data are heavily relied upon to document long term change, validate satellite algorithms for ocean biology and are useful in assessing the performance of autonomous platforms and biogeochemical models. There is a need to combine subsurface biological and physical data into one aggregate data product to support reproducible research. Existing aggregate products are dissimilar in source data, have largely been isolated to the surface ocean and most omit physical data. These products cannot easily be used to explore subsurface bio-physical relationships. We present the first version of a biological ocean data reformatting effort (BIO-MATE, https://gitlab.com/KBaldry/BIO-MATE). BIO-MATE uses R software that reformats openly sourced published datasets from oceanographic voyages. These reformatted biological and physical data from underway sensors, profiling sensors and pigments analysis are stored in an interoperable and reproducible BIO-MATE data product for easy access and use.
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The Whole-Antarctic Ocean Model (WAOM) is based on the Regional Ocean Modelling System (ROMS) with thermodynamic ice shelf interactions following Galton-Fenzi et al. (2012)¹. WAOM simulations of the present-day (year 2007) were used to investigate the physical drivers of Antarctic ice shelf basal melting via an ocean heat budget in a longitudinal framework. Ice shelves buttress the Antarctic Ice Sheet and therefore are critical in the dynamics of ice sheet instability and its contribution to sea level rise. New insights into the seasonal melting mechanisms and its importance at circum-Antarctic scale were investigated in Dias et al (2025)². 1) Galton-Fenzi B, Hunter JR, Coleman R, Marsland SJ, & Warner RC. (2012) Modeling the basal melting and marine ice accretion of the Amery Ice Shelf, Journal of Geophysical Research: Oceans, 117 (C9). https://doi.org/10.1029/2012JC008214 2) Boeira Dias F, England MH, Morrison AK, & Galton-Fenzi B. (2025).: On the seasonal variability of ocean heat transport and ice shelf melt around Antarctica, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3905
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The occurence and distribution of zooplankton species off the east coast of Tasmania was investigated between 1971 and 1973. Samples were collected at stations distributed along three transects extending seaward. Temperature and salinity data was collected at the same time.