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.

This digital data package comprises all available 1:100 000 scale first edition and unpublished preliminary geological maps of the Mount Isa Inlier, Murphy Tectonic Ridge, South Nicholson Basin and southern McArthur Basin. It also includes parts of the Mount Drummond and Lawn Hill 1:250 000 sheets which have not been mapped at 1:100 000 scale. The complete data set covers 19 full, 5 combined and 4 part 100,000 scale map sheets. All faults within this area have been coded uniquely to facilitate metallogenic analysis. The data, currently version 2.1, can be downloaded and comprises either MapInfo or Arcinfo/Arcview formats. For Arcview, unique legends have been created for the geology layers of each individual dataset, uniform across the whole of the Mount Isa dataset.

This use of this data should be carried out with the knowledge of the contained metadata and with reference to the associated report provided by Geoscience Australia with this data (Reforming Planning Processes Trial: Rockhampton 2050). A copy of this report is available from the the Geoscience Australia website (http://www.ga.gov.au/sales) or the Geoscience Australia sales office (sales@ga.gov.au, 1800 800 173). This file identifes the storm tide inundation extent for a specific Average Recurrence Interval (ARI) event. Naming convention: SLR = Sea Level Rise s1a4 = s1 = Stage 1(extra-tropical storm tide), s2 = Stage 2 (tropical cyclone storm tide) (relating to Haigh et al. 2012 storm tide study), a4 = area 4 and a5 = area 5 2p93 = Inundation height, in this case 2.93 m Dice = this data was processed with the ESRI Dice tool.

The ArcInfo grid was created from the bathymetry data and represents the degree of aspect of a slope surface.

Geoscience Australia is supporting the exploration and development of offshore oil and gas resources and establishment of Australia's national representative system of marine protected areas through provision of spatial information about the physical and biological character of the seabed. Central to this approach is prediction of Australia's seabed biodiversity from spatially continuous data of physical seabed properties. However, information for these properties is usually collected at sparsely-distributed discrete locations, particularly in the deep ocean. Thus, methods for generating spatially continuous information from point samples become essential tools. Such methods are, however, often data- or even variable- specific and it is difficult to select an appropriate method for any given dataset. Improving the accuracy of these physical data for biodiversity prediction, by searching for the most robust spatial interpolation methods to predict physical seabed properties, is essential to better inform resource management practises. In this regard, we conducted a simulation experiment to compare the performance of statistical and mathematical methods for spatial interpolation using samples of seabed mud content across the Australian margin. Five factors that affect the accuracy of spatial interpolation were considered: 1) region; 2) statistical method; 3) sample density; 4) searching neighbourhood; and 5) sample stratification by geomorphic provinces. Bathymetry, distance-to-coast and slope were used as secondary variables. In this study, we only report the results of the comparison of 14 methods (37 sub-methods) using samples of seabed mud content with five levels of sample density across the southwest Australian margin. The results of the simulation experiment can be applied to spatial data modelling of various physical parameters in different disciplines and have application to a variety of resource management applications for Australia's marine region.

This digital data package comprises all available 1:100 000 scale first edition and unpublished preliminary geological maps of the Mount Isa Inlier, Murphy Tectonic Ridge, South Nicholson Basin and southern McArthur Basin. It also includes parts of the Mount Drummond and Lawn Hill 1:250 000 sheets which have not been mapped at 1:100 000 scale. The complete data set covers 19 full, 5 combined and 4 part 100,000 scale map sheets. All faults within this area have been coded uniquely to facilitate metallogenic analysis. The data, currently version 2.1, can be downloaded and comprises either MapInfo or Arcinfo/Arcview formats. For Arcview, unique legends have been created for the geology layers of each individual dataset, uniform across the whole of the Mount Isa dataset.

This dataset contains the current and predicted petroleum permits for the Australian region. The tenement information is derived from ENCOM Technologies in Melbourne and is exported from a proprietry software application called GPINFO. These tenements are updated 3 monthly. NOTE : there are no attributes for this dataset other than tenement name, if you want more information on tenements see GEOMET rec 3559 for the AGSO petroleum titles dataset. NOTE : This dataset is only generated as an Arcview shapefile, There is no corresponding Arcinfo dataset.

This dataset is part of a digital geological map of the Granites-Tanami Block which Australian Geological Survey Organisation has prepared by joining together as a seamless coverage 15 of the 1:250 000 geological maps which cover the province.The data layers in the digital map include geology, faults, lineaments structural data, mineral deposits and Australian Geological Survey Organisation drill hole locations. The digital data is available in Arcinfo/ Arcview or Mapinfo format. Topographic and cultural layers are not included: these can be purchased separately from AUSLIG.

Arcview GIS containing a regolith-landfrom map with associated site database. Most sites have a field photograph hot linked into the GIS. Complementary datasets include, digital elevation model and enhanced Landsat TM imagery.

This dataset is part of a digital geological map of the Granites-Tanami Block which Australian Geological Survey Organisation has prepared by joining together as a seamless coverage 15 of the 1:250 000 geological maps which cover the province.The data layers in the digital map include geology, faults, lineaments structural data, mineral deposits and Australian Geological Survey Organisation drill hole locations. The digital data is available in Arcinfo/ Arcview or Mapinfo format. Topographic and cultural layers are not included: these can be purchased separately from AUSLIG.