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2017

48 record(s)
 
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  • Categories  

    Benthic habitat mapping of Moreton Bay, from Comboyuro Point to Jacobs Well. Mapping conducted as part of the Ecosystem Health Monitoring Program.

  • Land features were derived by aggregating and dissolving the boundaries of the 1 degree S57 file (lndare_a layer) series for the Australian continent (+ Lord Howe Island). The area defined at Lowest Astronomical Tide (LAT) by the Australian Hydrographic Office. The area of the Great Australian Bight (missing) in series, was replaced by Geoscience Australia's 1:100k coastline.

  • Depth areas 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 polygons.

  • Seabed areas 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). These areas were defined by the Australian Hydrographic Service (AHS).

  • Records of collisions between vessels and whales in Australian waters between 1872 and 2015 as described in the paper Peel, D., Smith, J. N., & Childerhouse, S. (2018). Vessel Strike of Whales in Australia: The Challenges of Analysis of Historical Incident Data. Frontiers in Marine Science, 5, 69. This record has been created to facilitate access to the original data collection at https://doi.org/10.25919/5be5086a6fda1

  • This dataset provides predictions of pelagic vertebrate species richness and relative abundance throughout sub-areas of the Oceanic Shoals Australian Marine Park (AMP). Predictive models were constructed from in situ observations made using mid-water stereo-BRUVS (baited remote underwater video systems) deployed at 116 sites within three sampling areas in the western half of the AMP. Sampling took place in September and October 2012 aboard the RV Solander (survey GA0339/SOL5650), as part of an expedition supported by the National Environmental Research Programme's Marine Biodiversity Hub (Theme 3). Expedition partners included the Australian Institute of Marine Science (AIMS), Geoscience Australia (GA), The Centre for Marine Futures at the University of Western Australia (UWA), and the Northern Territory Museum. Full methodological details can be found in the following peer-reviewed publication: Bouchet, P.J., Letessier, T.B., Caley, M.J., Nichol, S.L., Hemmi, J.M., Meeuwig, J. (2020). Submerged carbonate banks aggregate pelagic megafauna in offshore tropical Australia. Front. Mar. Sci. doi: 10.3389/fmars.2020.00530

  • Categories    

    This data contains at-sea GPS tracks of little penguins (Eudyptula minor) tagged at three colonies around Storm Bay, Tasmania (Boronia Beach, Wedge Island and Bruny Island Neck) over the 2015/16 summer breeding season. This data was collected as part of an honours thesis submitted in 2016.

  • Categories    

    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.

  • 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

  • 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