Geoscience Australia has been acquiring deep crustal reflection seismic transects throughout Australia since the 1960s. The results of these surveys have motivated major interpretations of important geological regions, contributed to the development of continental-scale geodynamic models and improved understanding about large-scale controls on mineral systems. Under the Onshore Energy Security Program, Geoscience Australia has acquired, processed and interpreted over 5000 km of new seismic reflection data. These transects are targeted over geological terrains in all mainland states which have potential for hydrocarbons, uranium and geothermal energy systems. The first project was undertaken in the Mt Isa and Georgetown regions of North Queensland. Interpretations of these results have identified several features of interest to mineral and energy explorers: a previously unknown basin with possible hydrocarbon and geothermal potential; a favourable setting for iron oxide uranium-copper-gold deposits; and, a favourable structural setting for orogenic gold deposits under basin cover. Other geophysical data were used to map these features in 3D, particularly into areas under cover. Seismic imaging of the full thickness of the crust provides essential, fundamental data to economic geologists about why major deposits occur where they do and reduces risk for companies considering expensive exploration programs under cover.

The Capel and Faust basins are located in a remote part of deepwater offshore eastern Australia. They are largely Cretaceous rifts formed within a 1600 km long ribbon of continental crust (the Lord Howe Rise) that became detached from Australia during the fragmentation of the eastern Gondwana plate margin and the opening of the Tasman Basin. As part of Geoscience Australia (GA)'s ongoing work to identify and evaluate the resource potential of Australia's offshore frontier basins, approximately 6 000 km of industry-standard, 106-fold 2D seismic data was acquired over the Capel and Faust basins during late 2006 and early 2007. These data supplemented earlier, sparse regional seismic data and were complemented by the acquisition of approximately 24 000 km2 of multibeam bathymetry and 11 000 line kilometres of shipboard gravity and magnetic data by GA in late 2007. This record details the interpretation of the seismic data and is intended to complement the release of a digital version of the interpretations in workstation formats (GeoFrame, Kingdom). Scientific conclusions drawn from the seismic interpretations and, very importantly, from an integration of the seismic, potential field and other data sets are beyond the scope of this record and are published in other GA Records, scientific papers and conference proceedings volumes.

A newsletter to Project Stakeholders to inform of progress and future events

This dataset contains species identifications of molluscs collected during survey SOL5117 (R.V. Solander, 30 July - 27 August, 2010). Animals were collected from the Joseph Bonaparte Gulf with a benthic sled (SL) and Smith McIntyre grab (GR). Specimens were lodged at Northern Territory Museum on the 27 August 2010. Species-level identifications were undertaken by Richard Willan at the Northern Territory Museum and were delivered to Geoscience Australia on the December 2010 (for large samples) and 26 June 2012 (for smaller molluscs from grabs). See GA Record 2011/08 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. Comments: The following comments relate to live-taken specimens only: 1. The SOL5117 molluscan samples contain at least one new species (Talabrica sp.), one new record for Australia (Oliva rufofulgurata), and five new records for Commonwealth waters north of the Northern Territory (Strombus hickeyi, Trigonostoma textilis, Dentalium formosum, Phyllidiopsis shireeenae, Ceratosoma trilobatum). 2. Many of the molluscan species in the SOL5117 grab samples, both live individuals and dead shells, are represented only by tiny juveniles, so identification to species level is not possible because the shell characters change considerably as the species reaches maturity. 3. Clearly the majority of molluscs in the SOL5117 samples are represented by dead shells only. 4. Species richness is far higher than suggested by these samples. Judging from the range of species present in the SOL4934 and SOL5117 samples plus the accumulation of species through the samples, the molluscan biodiversity in this area would be between 400 and 500 species, the great majority micromolluscs (i.e., < 5 mm in greatest dimension). 5. The SOL5117 molluscan samples are not as comprehensive as the earlier SOL4934 samples taken in the same areas(s). 6. The SOL5117 molluscan samples provide us with hardly any picture of the composition or abundance of molluscs within or between the sites. 7. The SOL5117 molluscan samples should not be used to assess the conservation status of the submarine communities in the area(s) sampled. 8. More targeted and intensive sampling is required to appropriately measure molluscan diversity, abundance and communities in this region. ~ R Willan

The GPS and Galileo systems will transmit triple frequency signals which will be available freely to the GNSS user community. This provides an opportunity for users to form optimal linear combinations which have low noise, are free from ionospheric errors, have increased wavelength and have enhanced integer ambiguity resolution capability. This paper presents optimised linear combinations for GPS and Galileo which address these factors. Based on the theoretical development, the optimal combination is free from first order ionospheric effects and has less noise than any of the other dual frequency ionosphere free combinations. The optimal combination was validated using authentic triple frequency data from the recently launched Block IIF GPS satellite, PRN 25. It is shown that the noise in the optimal combination is lower than the L1/L2 and L2/L5 dual frequency ionosphere free combinations and at the same level as the L1/L5 combination. The optimal linear combination is ideal for undifferenced Precise Point Positioning (PPP) which requires an ionosphere free, low noise combination that does not necessarily have integer coefficients. However, the combination coefficients can be simply rounded to integer values to enhance integer ambiguity resolution and this gives similar results to studies elsewhere.

This map shows the boundary of the Maritime Security Zones for each port for the purpose of the Maritime Transport & Office Security Act 2003. 1 Sheet (Colour) May 2010 Not for sale or public distribution Contact Manager LOSAMBA project, PMD

This map shows the boundary of the Maritime Security Zones for each port for the purpose of the Maritime Transport & Office Security Act 2003. 1 Sheet (Colour) February 2010 Not for sale or public distribution Contact Manager LOSAMBA project, PMD

Extended abstract detailing the use of MODIS Enhanced Vegetation Index time series data to map and monitor Groundwater Dependent Ecosystems in the Hat Head National Park.

This disc contains scanned PDF copies of geophysical and geological logs held by Geoscience Australia from the archives of the former Australian Atomic Energy Commission. These logs date from the around 1973 to 1975, and are specific to Honeymoon and Gould's Dam deposits. Two other discs with PDF scans of exploration in South Australia also exist and may be of interest.

As part of Geoscience Australia's analysis of the Capel-Faust basins this report summarises the construction methodology and the resulting geological and prospectivity implications of the Capel-Faust 3D geological model. The Capel and Faust basins are located over the northern part of the Lord Howe Rise, a large offshore frontier region composed of a number of rift basins with unknown petroleum prospectivity. Geoscience Australia has been undergoing a program of data acquisition in this area over a number of years, yet most dataset coverage remains regional with little well control. Given the diversity of acquired data, the comparative sparseness of coverage (despite the new data acquisition) and the structural complexity of basins, effective data integration and analysis methods were essential in the Capel-Faust region. By using the 3D visualisation and modelling environment provided by GOCAD, the diverse datasets were captured, processed and interpreted to create an integrated basin model that enabled key geological and prospectivity questions to be answered.