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

This dataset contains the Currenmt Meter data collected on Geoscience Australia Survey 273. The survey took place in central Torres Strait during October 2004 on the RV James Kirby. This dataset has been processed and archived within Geoscience Australia's Seabed Mapping and Characteristion Project in Canberra. Additional information regarding this dataset is contained in the Survey report. Biophysical Processes in theTorres Strait Marine Esosystem II. Survey Results and review of activites in responce to CRC objectives. Geoscience Australia Record 2006/10.

This map is designed to show broad regolith-landform units, giving a regional overview of the main regolith types and their associated landforms.Included are the author's detailed Explanatory Notes to the map.

The Surface Geology of Australia 1:1M scale dataset (2012 edition) is a seamless national coverage of outcrop and surficial geology, compiled for use at or around 1:1 million scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith material covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information regarding stratigraphic nomenclature and hierarchy, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies. The 2012 dataset has been updated from the previous 2010 data by updating geological unit data to 2012 information in the Australian Stratigraphic Units Database (http://www.ga.gov.au/products-services/data-applications/reference-databases/stratigraphic-units.html), incorporating new published mapping in the Northern Territory and Queensland, and correcting errors or inconsistent data identified in the previous edition, particularly in the Phanerozoic geology of Western Australia. The attribute structure of the dataset has also been revised to be more compatible with the GeoSciML data standard, published by the IUGS Commission for Geoscience Information. The first edition of this national dataset was first released in 2008, with map data compiled largely from simplifying and edgematching existing 1:250 000 scale geological maps. Where these maps were not current, more recent source maps ranging in scale from 1:50 000 to 1:1 million were used. In some areas where the only available geological maps were old and poorly located, some repositioning of mapping using recent satellite imagery or geophysics was employed.

Data used to produce the predicted Magnesium map for the Cadna-owie - Hooray Aquifer in the Hydrogeological Atlas of the Great Artesian Basin (Ransley et.al., 2015). There are four layers in the Cadna-owie - Hooray Aquifer Magnesium map data A. Location of hydrochemistry samples (Point data, Shapefile) B. Predicted Concentration (Filled contours , Shapefile) C. Predicted Concentration Contours (Contours, Shapefile) D. Prediction Standard Error (Filled contours , Shapefile) The predicted values provide a regional based estimate and may be associated with considerable error. It is recommended that the predicted values are read together with the predicted error map, which provides an estimate of the absolute standard error associated with the predicted values at any point within the map. The predicted standard error map provides an absolute standard error associated with the predicted values at any point within the map. Please note this is not a relative error map and the concentration of a parameter needs to be considered when interpreting the map. Predicted standard error values are low where the concentration is low and there is a high density of samples. Predicted standard errors values can be high where the concentration is high and there is moderate variability between nearby samples or where there is a paucity of data. Concentrations are Magnesium in mg/L. Coordinate system is Lambert conformal conic GDA 1994, with central meridian 134 degrees longitude, standard parallels at -18 and -36 degrees latitude. The Cadna-owie - Hooray Aquifer Magnesium map is one of 14 hydrochemistry maps for the Cadna-owie - Hooray Aquifer and 24 hydrochemistry maps in the Hydrogeological Atlas of the Great Artesian Basin (Ransley et.al., 2014). This dataset and associated metadata can be obtained from www.ga.gov.au, using catalogue number 81698. References: Hitchon, B. and Brulotte, M. (1994): Culling criteria for 'standard' formation water analyses; Applied Geochemistry, v. 9, p. 637-645 Ransley, T., Radke, B., Feitz, A., Kellett, J., Owens, R., Bell, J. and Stewart, G., 2015. Hydrogeological Atlas of the Great Artesian Basin. Geoscience Australia. Canberra. [available from www.ga.gov.au using catalogue number 79790]

The Georgina Basin Geoscience Data Package is a geospatial data compilation for the Georgina Basin, with a focus on the southern part of the basin. The data set includes three components: an ARC-GIS package (that includes geochemistry, biostratigraphy, formation top picks, hydrocarbon shows, XRD data, ICPMS data, SEM-EDX data, geomechanics data, well header information, Geoscience Australia maps, map products and geophysics), a seismic data compilation (incorporating existing publicly-available seismic data from the southern Georgina Basin, and a well folio (summarising in graphic form the key stratigraphic, geochemical, biostratigraphic, hydrocarbon shows, wireline log, porosity, permeability and HyLogger data for 29 wells in the southern Georgina Basin). The data package has been put together to assist explorers in understanding the conventional and unconventional hydrocarbon potential of the Georgina Basin.

The OzEstuaries online GIS contains data for Australian estuaries (coastal waterways) and for oceans in the Australian region. Estuaries data include geomorphic habitat mapping, estuary condition, colour composite images (Landsat, MODIS and Quickbird satellite imagery and aerial photography), benthic classifications (from Landsat satellite imagery), bathymetry and population centres. Oceanic data include dissolved organic matter, chlorophyll concentration, suspended solids concentration and sea surface temperature (using MODIS satellite imagery) and bathymetry. The GIS provides facilities to search for and zoom to estuaries, integrate mapping and imagery datasets, and retrieve statistical information from the OzEstuaries database; allowing users to view spatial and statistical information. The oceanic imagery provides a regional context for coastal waterways. The GIS is part of Geoscience Australia's contribution to the Cooperative Research Centre for Coastal Zone, Estuary and Waterway Management (Coastal CRC). The geomorphic habitat mapping was conducted by Geoscience Australia for the National Land and Water Resources Audit, and is also part of Geoscience Australia's contribution to the Coastal CRC.

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

These data are a digital representation of information depicted on the printed map of the Red River 1:250 000 Geological Series produced by AGSO and the Geological Survey of Queensland (GSQ) in 1976 (1st edition). Data present include geological polygons (litho-stratigraphic units), linear structural features (faults, dykes, folds, trends, lineaments etc), and point features (mines, structural points etc). Polygons have a range of attributes extracted from each individual map including unit name, age and lithological description, while lines and points are feature coded according to the AGSO publication 'Symbols Used On Geological Maps' (BMR 1989). A standard look-up table of AGSO geological codes and associated descriptions is available (see ADDITIONAL METADATA). The data has gradually evolved from elementary CAD quality data into its present topologically structured GIS format, and hence has many imperfections and inconsistencies. Data has undergone rigorous validation and testing that includes over 80 different tests. See ADDITIONAL METADATA for more information on the data standards used.

This dataset maps the geomorphic habitat environments (facies) for 54 Victorian coastal waterways. The classification system contains 11 easily identifiable and representative environments: Barrier/back-barrier, Central Basin, Channel, Coral, Flood- and Ebb-tide Delta, Fluvial (bay-head) Delta, Intertidal Flats, Mangrove, Rocky Reef, Saltmarsh/Saltflat, Tidal Sand Banks (and Unassigned). These types represent habitats found across all coastal systems in Australia. Most of the 54 coastal waterways have a "Modified" environmental condition (as opposed to "Near Pristine"), according to the National Land and Water Resources Audit definition.