2017
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Model data used to quantify the roles of mean and transient flows in transporting heat across almost the entire Antarctic continental slope and shelf using an ocean/sea-ice model run at eddy- and tide-resolving (1/48 degree) horizontal resolution.
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This record relates to communications outputs of a research project which centered around working with Indigenous communities to raise the profile of the Largetooth Sawfish and support community driven conservation efforts. Some of the items are intended for public viewing (videos and educational signage); but the other outputs are intended for use by the Indigenous communities involved in the sampling (trip reports and Malak Malak annual floodplain sampling protocol and I-Tracker data collection application).
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This database contains acoustic telemetry data for euryhaline elasmobranchs in northern Australian rivers. Data was collected under the National Environmental Research Program (NERP) Marine Biodiversity Hub Project 2.4 'Supporting Management of Listed and Rare Species', and the National Environmental Science Program (NESP) Marine Biodiversity Hub Project A1 'Northern Australian Hotspots for the Recovery of Threatened Euryhaline Elasmobranchs'. An acoustic receiver array was deployed in the Adelaide River, and another in the Alligator Rivers (primarily the South Alligator River) to monitor the movements, habitat use and natural mortality of threatened river sharks (Glyphis species) and sawfishes (Pristis species). Receiver deployment data is available through the IMOS Animal Tracking Facility database (visit https://animaltracking.aodn.org.au/receivers/deployment and search for project 'NESP Northern Australian hotspots for the recovery of threatened euryhaline species'). Detection data is currently embargoed until end 2023.
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Model output from a circumpolar realisation of the Regional Ocean Modelling System (ROMS). Model was run at a horizontal resolution of 1/4 degree and 31 vertical levels. Spatial domain was circumpolar out to 30 degrees South. Forcing comes from prescribed salt and heat fluxes based on a derived climatology from Tamura et al (2008). For open water regions the Tamura data is blended with open-water heat, salt and surface stress fluxes from a monthly NCEP2 climatology.
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Raised features were derived by aggregating and dissolving the boundaries of the 1 degree S57 file series for the Australian continental shelf and Lord Howe Island shelf (200 m) depicting depth area features. An algorithm was applied to the data that isolated these features from surrounding lower features or plains.
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Flythrough movie of Gifford Marine Park, which is located 700 km east of Brisbane, Australia. The park is situated about halfway along the Lord Howe Rise seamount chain on the western flank of the Lord Howe Rise. Seamounts along this chain formed from Miocene volcanism via a migrating magma source (“hotspot”) after the opening of the Tasman Sea. Two large, flat-topped volcanic seamounts dominate the park. Their gently sloping summits have accumulated veneers of sediment, which in places have formed fields of bedforms. Steep cliffs, debris and large mass movement scars encircle each seamount, and contrast with the lower gradient abyssal plains from which they rise. Spanning over 3 km of ocean depths, the seamounts are likely to serve multiple and important roles as breeding locations, resting areas, navigational landmarks or supplementary feeding grounds for some cetaceans (e.g. humpback whales, sperm whales). They may also act as important aggregation points for other highly migratory pelagic species. The bathymetry shown here was collected on two surveys - the first in 2007 by Geoscience Australia and the second in 2017 by Geoscience Australia in collaboration with the Japan Agency for Marine-Earth Science and Technology. The Gifford Marine Park has also been the focus of a study undertaken by the Marine Biodiversity Hub as part of the National Environmental Science Program. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.
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The ETAS (Eastern TASmania) model is a high-resolution (~2 km in the horizontal) ocean model for eastern Tasmania, providing three-dimensional estimates of daily temperature, salinity, and circulation over the 1993-2016 period. This dataset consists of temperature, salinity, meridional (N-S), zonal (E-W), vertical, along- and cross-shore currents, density, sea level and net surface heat flux organised into yearly files. A MATLAB script to extract portions of the data is available here: https://github.com/ecjoliver/extractETAS
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The ETAS (Eastern TASmania) model is a high-resolution (~2 km in the horizontal) ocean model for eastern Tasmania, providing three-dimensional estimates of monthly mean temperature, salinity, and circulation over the 1993-2016 period. This dataset consists of temperature, salinity, meridional (N-S), zonal (E-W), vertical, along- and cross-shore currents, density, sea level and net surface heat flux organised into yearly files. A MATLAB script to extract portions of the data is available here: https://github.com/ecjoliver/extractETAS
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This dataset relates to statistical models of killer whale (Orcinus orca) occurrence in the Bremer Sub-Basin developed from vessel-based and aerial survey data collected between 2015 and 2017. Further information can be found in: Salgado-Kent C, Parnum I, Wellard R, Erbe C, Fouda L. 2017. Habitat preferences and distribution of killer whales (Orcinus orca) in the Bremer Sub-Basin, Australia. Report to the National Environmental Science Programme Marine Biodiversity Hub (CMST 2017-15), 37 p.
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The ETAS (Eastern TASmania) model is a high-resolution (~2 km in the horizontal) ocean model for eastern Tasmania, providing three-dimensional estimates of mean temperature, salinity, and circulation over the 1993-2016 period. This dataset consists of temperature, salinity, meridional (N-S), zonal (E-W), vertical, along- and cross-shore currents, density, sea level and net surface heat flux organised into yearly files and aggregated daily or monthly. A MATLAB script to extract portions of the data is available here: https://github.com/ecjoliver/extractETAS
IMAS Metadata Catalogue