The Surface Hydrology Points (Regional) dataset provides a set of related features classes to be used as the basis of the production of consistent hydrological information. This dataset contains a geometric representation of major hydrographic point elements - both natural and artificial. This dataset is the best available data supplied by Jurisdictions and aggregated by Geoscience Australia it is intended for defining hydrological features.

Geoscience Australia carried out a marine survey on Carnarvon shelf (WA) in 2008 (SOL4769) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments 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 Australian Institute of Marine Science (AIMS) Research Vessel Solander. Bathymetric mapping, sampling and video transects were completed in three survey areas that extended seaward from Ningaloo Reef to the shelf edge, including: Mandu Creek (80 sq km); Point Cloates (281 sq km), and; Gnaraloo (321 sq km). Additional bathymetric mapping (but no sampling or video) was completed between Mandu creek and Point Cloates, covering 277 sq km and north of Mandu Creek, covering 79 sq km. Two oceanographic moorings were deployed in the Point Cloates survey area. The survey also mapped and sampled an area to the northeast of the Muiron Islands covering 52 sq km. cloates_3m is an ArcINFO grid of Point Cloates of Carnarvon Shelf survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software

The dataset provides outlines and names of Australian sedimentary basins and sub-basins onshore and offshore, compiled as part of AGSO marketing activities aimed at encouraging further exploration of Australian oil and gas reserves.

The Radiometric Map of Australia dataset comprises grids of potassium, uranium, and thorium element concentrations, and derivatives of these grids, that were derived by seamlessly merging over 550 airborne gamma-ray spectrometric surveys in the national radioelement database

This project was initiated by Geoscience Australia to provide an integrated regional interpretation of basement composition, structure and depth in the Bass Basin, and investigate the effect of basement geology on basin evolution and petroleum systems. SRK Consulting was contracted by Geoscience Australia in June 2001.Structurally Enhanced view of Economic Basement.This metadata encompasses shape files found in the "seebase" directory on the CD-ROM. They are as follows: - basement_terranes.shp crustal_fracture_zones.shp jurassic_cretaceous_flts.shp late_cretaceous_flts.shp mid_cretaceous_flts.shp seebase.tif seebase_contours_l.shp synthesis_faults_l.shp synthesis_faults_r.shp

Video footage of the asea bed was collected to characterise the substrate, morphology, habitats and benthic biota in the study area. A vidoe camera was lowered to the seabed and recorded a minimun of three minutes of video. Additional information regarding this dataset is contained in the Survey report. Biophysical Processes in theTorres Strait Marine Ecosystem - post cruise report. Geoscience Australia Record 2005/11.

Detail database contains digital maps of the geology of South Australia stored as points, lines and polygons and is maintained in Arc/Info

The data on this CDROM is a digital re-production of the 1st edition 1990 geological outcrop map of the Quartz 1:100,000 map sheet 5951. A scanned image of the hardcopy map was digitised using Microstation and ArcInfo software. Digital standards are based on Geoscience Digital Data Dictionary for GIS Products Version 2004.01 for Geology and Lithology layers. The finished product has been provided as ArcView shapefiles and ArcInfo export files on CD-ROM. Internal quality assurance has been performed on the coverages. Stratigraphic nomenclature used is current as of June 15, 2005.

The 1 second SRTM derived DEM-H Version 1.0 is a 1 arc second (~30m) gridded digital elevation model (DEM). The DEM-H captures flow paths based on SRTM elevations and mapped stream lines, and supports delineation of catchments and related hydrological attributes. The dataset was derived from the 1 second smoothed Digital Elevation Model (DEM-S; ANZCW0703014016) by enforcing hydrological connectivity with the ANUDEM software, using selected AusHydro V1.6 (February 2010) 1:250,000 scale watercourse lines (ANZCW0503900101) and lines derived from DEM-S to define the watercourses. The drainage enforcement has produced a consistent representation of hydrological connectivity with some elevation artefacts resulting from the drainage enforcement. A full description of the methods is in preparation (Dowling et al., in prep). This product is the last of the series derived from the 1 second SRTM (DSM, DEM, DEM-S and DEM-H) and provides a DEM suitable for use in hydrological analysis such as catchment definition and flow routing.

"Spot Heights. (dataset derived from the DIgital Chart of the World (DCW) HY_POINT and HS_POINT coverages). For more information on the Digital Chart of the World data please browse the DCW Internet Site <a href=""http://www.maproom.psu.edu/dcw/"">http://www.maproom.psu.edu/dcw/</a>. Data can be downloaded from here in <b>vpf format</b>. <p>NOTE : For more accurate and detailed data covering <b>continental Australia only</b> please obtain the <b><a href=""http://www.auslig.gov.au/download/"">Global Map Data 1M</a></b> <p><b>Generic information on DCW datasets :-</b> <br>The primary source for DCW is the US Defense Mapping Agency (DMA) Operational Navigation Chart (ONC) series produced by the United States, Australia, Canada, and the United Kingdom. The ONC's have a scale of 1:1,000,000, where 1 inch equals approximately 16 miles.The charts were designed to meet the needs of pilots and air crews in medium and low altitude en route navigation and to support military operational planning, intelligence briefings, and other needs. Therefore, the selection of ground features is based on the requirement for rapid visual recognition of significant details seen from a low perspective angle. The DCW database was originally published in 1992. Data currency varies from place to place depending on the currency of the ONC charts. Chart currency ranges from the mid 1960's to the early 1990's. Compilation dates for every ONC chart are included in the database."