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.

Manila Lidar Project 2011 Resupply of data from Fugro Spatial. Lidar coverage updated for seperate classification of water and bare earth. This dataset will be superseded with a new surfaces recognising water classification and hydro flatening.

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.. gnaraloo_3m is an ArcGIS layer of the backscatter grid of the Gnaraloo survey area produced from the processed EM3002 backscatter data of the survey area using the CMST-GA MB Process

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.

These datasets cover approximately 5030 sq km over all of the Scenic Rim Regional Council and were captured as part of the 2011 Scenic Rim LiDAR project. This project, undertaken by Terranean Mapping Technologies on behalf of the Queensland Government captured highly accurate elevation data using LiDAR technology. Available dataset formats (in 1 kilometre tiles) are: - Classified las (LiDAR Data Exchange Format where strikes are classified as ground, vegetation or building) - 1 metre Digital Elevation Model (DEM) in ASCII xyz - 1 metre Digital Elevation Model (DEM) in ESRI ASCII grid - 1 metre Digital Elevation Model (DEM) in ESRI GRID grid - 0.25 metre contours in ESRI Shape

This dataset contains the 2009 Offshore Petroleum Acreage Release Areas. The regular release off offshore acreage is a key part of the Australian Government's strategy to encourage investmant in petroleum exploration. The 2009 release consists of 31 areas in 5 sedimentary basins.

This dataset is a pre-release copy of the Australian Geological Provinces Database. The dataset is the best available national coverage of geological provinces as at 1 November 2012. The dataset is not entirely complete for the whole of Australia, and has not undergone complete and rigorous QA/QC. This interim dataset is provided for use only by Geoscience Australia staff and their approved collaborators. The Australian Geological Provinces Database contains descriptions and polygon outlines of geological provinces of the Australian continent and the surrounding marine jurisdictional area. Province types include sedimentary basins, basement tectonic provinces, igneous provinces, and metallogenic provinces. Descriptive attributes include sedimentary, igneous and structural characteristics, age limits, parent and constituent units, relations to surrounding provinces, and mineral and petroleum resources. The province outlines are typically compiled from source data at around 1:1,000,000 scale, which may include outcrop mapping, drilling, and geophysical data. Province boundaries have a spatial accuracy of around 500 metres at best (ie, where constrained by outcrop), but where province boundaries are concealed and are interpreted only from geophysical or drilling data, spatial accuracy may be in the order of 1 km to greater than 10 km. Attribution of province boundaries with information about data source and accuracy is incomplete in this version of the dataset.

Geoscience Australia carried out marine surveys in Jervis Bay (NSW) in 2007, 2008 and 2009 (GA303, GA305, GA309, GA312) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments (for textural and biogeochemical analysis) 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 Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla. Bathymetric mapping, sampling and tide/wave measurement were concentrated in a 3x5 km survey grid (named Darling Road Grid, DRG) within the southern part of the Jervis Bay, incorporating the bay entrance. Additional sampling and stills photography plus bathymetric mapping along transits was undertaken at representative habitat types outside the DRG. darlingrd_1m is an ArcGIS layer of the backscatter grid of the Darling Road survey area produced from the processed EM3002 and EM3002D backscatter data of the survey area using the CMST-GA MB Process

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). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measure in km/h. This file identifies the extent of inundation from sea-level rise combined with Highest Astronomical Tide (HAT) which is 3.9 m AHD. The name of the file indicates the scneraio water height, e.g. p3p9_LGAClip indicates the inundation shown is for 3.9 m above AHD and that the file has been clipped by the Local Government Area (LGA) to remove the offshore inundation identified.

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). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measure in km/h. This file presents the future climate wind hazard. The file name indicates the hazard being presented, e.g. wspd_rp_1000_max.tif is the 1000 year Return Period (RP - equivalent to Average Reccurrence Interval (ARI)) and is the maximum wind speed from all directions. The local wind multipliers adjust the 3-second gust regional RP wind speed from 10 m above ground level to ground level with the consideration of topography and shielding effects. Eight cardinal directions are calculated for every raster cell and the maximum of these values is then derived and presented here.