The Vlaming Sub-basin Marine Survey GA-0334 was undertaken by the RV Solander in March and April 2012 as part of the Commonwealth Government's National CO2 Infrastructure Plan (NCIP). The purpose was to acquire geophysical and biophysical data to help identify sites suitable for the long term storage of CO2 within reasonable distances of major sources of CO2 emissions. This dataset contains identifications of animals collected from 31 Van Veen grabs deployed during GA-334. Sediment was elutriated for ~ 5 minutes over a 500um sieve. Retained sediments and animals were then preserved in 70% ethanol for later laboratory sorting and identification. During sorting, all worms were separated and sent to Infaunal Pty Ltd for identification to species or operational taxonomic unit (OTU). Lynda Avery completed identifications on 17 April 2013, and specimens were lodged at the Museum of Victoria in May 2013. Blank cells in the species matrix indicate a value of '0'. Site refers to the station number, and grab refers to the cumulative number of grabs performed at that point in the survey. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications. See GA Record 2013/09 for further details on survey methods and specimen acquisition.

This dataset contains species identifications of molluscs from shell grit and sediments collected during survey SOL5463 (R.V. Southern Surveyor, 3-31 May 2012). Sediments were collected with a Smith Mac grab and processed in the GA laboratory. Sediment samples from two grabs contained many mollusc shells, some intact, and these were lodged at the Museum and Art Gallery of the Northern Territory (MAGNT). Species-level identifications were undertaken by Dr Richard Willan at the MAGNT and were delivered to Geoscience Australia on the 19 September 2012. See GA Record 2012/66 for further details on survey methods and specimen acquisition. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications. Note that all specimens were identified from dead material and shell fragments. Specimens that were alive upon collection were processed separately with infaunal samples.

This dataset contains species identifications of octocroals collected during survey SOL4934 (R.V. Solander, 27 August - 24 September, 2009). Animals were collected from the Joseph Bonaparte Gulf with a benthic sled. Specimens were sent to Phil Alderslade in April 2012 from the NT Museum. Species-level identifications were undertaken by Dr Alderslade and were delivered to Geoscience Australia on the 16 May 2012. See GA Record 2010/09 for further details on survey methods and specimen acquisition. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications.

Geoscience Australia carried out marine surveys in Jervis Bay (NSW) in 2007, 2008 and 2009 (GA303, GA305, GA309, GA312) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments (for textural and biogeochemical analysis) and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wavegenerated currents. Data and samples were acquired using the Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla. Bathymetric mapping, sampling and tide/wave measurement were concentrated in a 3x5 km survey grid (named Darling Road Grid, DRG) within the southern part of the Jervis Bay, incorporating the bay entrance. Additional sampling and stills photography plus bathymetric mapping along transits was undertaken at representative habitat types outside the DRG. The "kimbla" folder contains processed multibeam backscatter data of Jarvis Bay. The SIMRAD EM3002 and EM3002D multibeam backscatter data were processed using the CMST-GA MB Process, a multibeam processing toolbox codeveloped by Geoscience Australia and Curtin University of Technology.

This dataset contains species identifications of small benthic worms collected during survey GA2476 (R.V. Solander, 12 August - 15 September 2008). Animals were collected from the Western Australian margin with BODO sediment grab or boxcores. Specimens were lodged at Museum of Victoria in March 2010. Species-level identifications were undertaken by Robin Wilson at the Museum of Victoria and were delivered to Geoscience Australia on the 24 October 2011. See GA Record 2009/02 for further details on survey methods and specimen acquisition. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications.

This dataset contains species identifications of sponges collected during survey SOL4934 (R.V. Solander, 27 August - 24 September, 2009) and SOL5117 (R.V. Solander, 30 July - 27 August, 2010). Animals were collected from the Joseph Bonaparte Gulf with a benthic sled. Specimens were lodged at the Museum and Art Gallery of the NT (MAGNT). Species-level identifications were undertaken by Dr Belinda Alvarez de Glasby at the MAGNT and were delivered to Geoscience Australia on the 31 July 2012 . See GA Record 2011/08 and 2010/09 for further details on survey methods and specimen acquisition. Data is presented here exactly as delivered by the taxonomist, and Geoscience Australia is unable to verify the accuracy of the taxonomic identifications.

This dataset provides the spatially continuous data of predicted seabed gravel content (sediment fraction greater than 2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 0.0025 decimal degree (dd) resolution raster grids format and ascii text file. The dataset covers the north-northwest region of the Australian continental EEZ. This dataset supersedes previous predictions of seabed gravel content for the region with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant areas. This dataset is intended for use at regional scale. The dataset may not be appropriate for use at local scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and interpolations updated.

No abstract available

This is the list for the GEN category 'Interim Marine and Coastal Regionalisation of Australia (IMCRA)'. It has been developed to support the GEN element of the ANZLIC Metadata Guidelines and forms part of the GEN Register. This list contains the Minimum Bounding Box (MBB) coordinates for all regions from Environment Australia's IMCRA dataset. These regions have been identified from biological and physical data.

This data spatially relates licenced offshore mineral leases under the Offshore Minerals Act 1994. For more information relating to the dataset please refer to custodian or contact.