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2017

48 record(s)
 
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    This dataset describes visual sightings of marine megafauna (whales, dolphins and sharks) obtained during a series of dedicated aerial surveys conducted as part of a NESP Marine Biodiversity Hub project within and around the Bremer Marine Park, southern Western Australia. The data reflect 25 hours of observer effort (on transect), and 62 sightings of four identifiable species, including killer whales (Orcinus orca), sperm whales (Physeter macrocephalus), long-finned pilot whales (Globicephala melas), and bottlenose dolphins (Tursiops sp.). Numerous unidentified cetaceans and sharks were also seen. For more information, see: https://www.nespmarine.edu.au/project/ep2-surveying-marine-life-canyons-bremer-bay

  • 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). This represents land the area defined at Lowest Astronomical Tide (LAT) by the Australian Hydrographic Office. The Great Australian Bight was missing from this series, and was replaced by Geoscience Australia's 1:100k coastline. This data has been made available through the data collation process conducted by the NESP Marine Biodiversity Hub Project D3 (Reefs on the Australian Continental Shelf).

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    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.

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    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

  • Sea snake sightings from Baited Remote Underwater Video Stations deployed by the Australian Institute of Marine Science were used to predict locations that are likely important habitats for sea snake populations within the North West Marine Region (NWMR). Presence/Absence of sea snakes were modelled with environmental parameters using Gradient Boosted Regression Tree model to predict habitat suitability within the 1000 m depth contour along the NWMR. This output is a result of work conducted as part of the NESP Marine Hub Project A8- 'Exploring the status of Western Australia's sea snakes'. See project page for more details and updates: https://www.nespmarine.edu.au/project/project-a8-exploring-status-western-australian-sea-snakes

  • 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

  • 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.

  • This dataset has been superseded by https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/0145df96-3847-474b-8b63-a66f0e03ff54 (Victorian Statewide Marine Habitat Map 2023). The Victorian Benthic Habitats - Western Port Bay (CBICS) is a synthesis of all existing benthic habitat characterisations of the embayment which have been reclassified to conform to the Combined Biotope Classification Scheme (CBiCS). Base layers for the synthesised dataset were sourced from data provided by: Marine and Freshwater Resources Institute, Queenscliff, Victoria Institute for Sustainability and Innovation, Victoria University, Melbourne. Parks Victoria, Victorian Government Deakin University, Victoria Department of Environment, Land, Water and Planning, Victorian Government

  • This dataset has been superseded by https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/0145df96-3847-474b-8b63-a66f0e03ff54 (Victorian Statewide Marine Habitat Map 2023). The Victorian seabed habitat map documents the distribution of broad benthic habitat types in Victorian Coastal Waters to the State’s 3 nautical mile jurisdictional limit. The map was created using a top-down modelling process whereby habitat descriptors were assigned using seafloor structure and biological information derived from multibeam sonar (Victorian Marine Habitat Mapping Project), bathymetric LiDAR (Future Coasts program) and observations from underwater video. Identification of benthic biota, to the lowest discernible taxonomic level, and substrate characteristics were recorded according to the Victorian Towed Video Classification scheme (Ierodiaconou et al. 2007).

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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.