This dataset contains species identifications of sponges 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 lodged at Northern Territory Museum on the 26 September 2009. Species-level identifications were undertaken by Belinda Glasby at the Northern Territory Museum and were delivered to Geoscience Australia on the 23 February 2011. 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.

This dataset contains processed and raw backscatter data in matlab format produced by the CMST-GA MB Toolbox from various swath surveys in and around Australian waters.

The Australian National Gravity Database (ANGD) contains over 1.8 million gravity observations from over 2,000 surveys conducted in Australia over the last 80 years. Three processes are required to correct these observations for the effects of the surrounding topography: firstly a Bouguer correction (Bullard A), which approximates the topography as an infinite horizontal slab; secondly a correction to that horizontal slab for the curvature of the Earth (Bullard B); and thirdly a terrain correction (Bullard C), which accounts for the undulations in the surrounding topography. These three corrections together produce complete bouguer anomalies. Since February 2008, a spherical cap bouguer anomaly calculation has been applied to data extracted from the ANGD. This calculation applies the Bullard A and Bullard B corrections. Terrain corrections, Bullard C, have now been calculated for all terrestrial gravity observations in the ANGD allowing the calculation of complete bouguer anomalies. These terrain corrections were calculated using the Shuttle Radar Topography Mission 3 arc-second digital elevation data. The complete bouguer anomalies calculated for the ANGD provide users of the data with a more accurate representation of crustal density variations through the application of a more accurate Earth model to the gravity observations.

This USB has been produced for promotional purposes and will be handed out (free) at domestic and international conferences. The USB contains a selection of GA reports, flyers, maps and data. Products are grouped into 4 categories: Records and Brochures, Mineral Deposits, Geophysical Data and Surface Geology.

This dataset contains species identifications of benthic worms collected during survey TAN0713 (R.V. Tangaroa, 7 Oct - 22 Nov 2007). Animals were collected from the Faust and Capel basins and Gifford Guyot with a boxcore, rock dredge, or epibenthic sled. Specimens were lodged at Museum of Victoria in June 2008. Species-level identifications were undertaken by Robin Wilson at the Museum of Victoria and were delivered to Geoscience Australia on 1 Aug 2008. See GA Record 2009/22 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.

Very short News item for ASEG's Preview newsletter announcing the availability of the Tasman Frontier Geophysical Data Base

This dataset contains data collected on various domestic and international swath surveys in and around Australian waters.

Discusses reasons to use the Australian Stratigraphic Units Database (ASUD), and new features of the web query page and reports

Scientific data are being generated at an ever increasing rate. Existing volumes of data can no longer be effectively processed by humans, and efficient and timely processing by computers requires development of standardised machine readable formats and interfaces. Although there is also a growing need to share data, information and services across multiple disciplines, many standards currently being developed tend to be discipline specific. To enable cross-disciplinary research a more modular approach to standards development is required so that common components (e.g., location, units of measure, geometric shape, instrument type, etc) can be identified and standardised across all disciplines. Already international standards bodies such as ISO and OGC (Open Geospatial Consortium) are well advanced in developing technical standards that are applicable for interchange of some of these common components such as GML (Geography Markup Language), Observations and Measurements Encoding Standard, SensorML, Spatial Coordinate Systems, Metadata Standards, etc. However the path for developing the remaining discipline specific and discipline independent standards is less coordinated. There is a clear lack of infrastructure and governance not only for the development of the required standards but also for storage, maintenance and extension of these standards over time. There is also no formal mechanism to harmonise decisions made by the various scientific disciplines to avoid unwanted overlap. The National Committee for Data in Science (NCDS) was established in 2008 by the Australian Academy of Science to provide an interdisciplinary focus for scientifc data management. In 2008 an informal request from the NCDS was put to the international Committee on Data for Science and Technology (CODATA) to consider taking on a new coordination role on issues related to the development and governance of standards required for the discovery of, and access to digital scientific data.

Legacy product - no abstract available