This dataset contains species identifications of micro-benthic worms collected during survey SOL4934 (R.V. Solander, 27 August - 24 September, 2009). Animals were collected from the Joseph Bonaparte Gulf with a Smith-McIntyre grab. Specimens were lodged at Northern Territory Museum on the 1 February 2010. Species-level identifications were undertaken by Chris Glasby at the Northern Territory Museum and were delivered to Geoscience Australia on the 7 March 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 resource includes bathymetry data acquired during the Southern Depths of the Great Barrier Reef survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Southern Great Barrier Reef Shelf Bathymetry survey (FK201122/GA4867); also known as Ice Age Geology of the Great Barrier Reef survey; was led by Queensland University of Technology aboard the Schmidt Ocean Institute's research vessel Falkor from the 22nd of November to the 21st of December 2020. The primary objective of the expedition was to explore ancient undersea features that formed during the last Ice Age, when sea level was around 125 m lower than it is today. While once an exposed part of the Australian coast, these shelf areas were submerged as Earth’s glaciers and ice sheets melted and sea level rose, flooding Australia’s continental shelf. Another objective was to find the southern extent of an older limestone platform that may represent the approximately 20 million-year-old base upon which the present Great Barrier Reef has grown. This V1 dataset contains two 64m resolution 32-bit floating point geotiff files of the Southern Great Barrier Reef Shelf Bathymetry survey area, derived from the processed EM302 and EM710 bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.

The coverage of this dataset is over the Taree region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence ) horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .

This dataset contains hotspot point data, derived from satellite-born instruments that detect light in the thermal wavelengths found on the Digital Earth Australia Hotspots application. Typically, satellite data are processed with a specific algorithm that highlights areas with an unusually high temperature. Hotspot sources include the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the National Aeronautics and Space Administration (NASA) Terra and Aqua satellites, the Advanced Very High Resolution Radiometer (AVHRR) night time imagery from the National Oceanic and Atmospheric Administration (NOAA) satellites, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi- NPP satellite. Please note: As these data are stored on a Corporate system, we are only able to supply the web services (see download links).

The Proterozoic Warramunga Group, as previously mapped around Tennant Creek, is shown to consist of two sequences separated by a major angular unconformity. The older sequence, which is tightly folded and cleaved, hosts the gold-copper-ironstone lodes near Tennant Creek. The younger sequence, exposed north of Tennant Creek, is correlated with the lower Hatches Creek Group south of Tennant Creek. It is overlain conformably by the Tomkinson Creek beds, which are correlated with the middle and upper Hatches Creek Group. The Rising Sun Conglomerate, southeast of Tennant Creek, is a composite unit, consisting of Hatches Creek Group equivalents and unconformably overlying Cambrian rocks.

This service represents the National Digital Elevation Model (DEM) 1 Second Percentage Slope product, derived from the National DEM SRTM 1 Second. Slope measures the inclination of the land surface from the horizontal. Percent slope represents this inclination as the ratio of change in height to distance.

This service provides Australian surface hydrology, including natural and man-made features such as water courses (including directional flow paths), lakes, dams and other water bodies. The information was derived from the Surface Hydrology database, with a nominal scale of 1:250,000. The National Basins and Catchments are a national topographic representation of drainage areas across the landscape. Each basin is made up of a number of catchments depending on the features of the landscape. This service shows the relationship between catchments and basins. The service contains layer scale dependencies.

This service shows the Principal Hydrogeological Divisions of Australia which was produced from the 1:5,000,000 scale Hydrogeology of Australia map (Jacobsen and Lau, 1987).

<div>This dataset was produced under Stream 1 - Work Package 4 of the 2021-23 Australian Research Data Commons (ARDC) Bushfire Data Challenge Project; a collaborative partnership between the ARDC, Geoscience Australia, and the Emergency Management Spatial Information Network. The Project’s aim was to bring together a single nationally consistent and harmonised historical bushfire boundary data derived from the authoritative state and territory agencies. Geoscience Australia's role within this project was to; negotiate access to the data, collate and transform the data into the National Standard and then deliver the 'Historical Bushfire Boundaries' data through a static file and a webservice.</div><div><br></div><div>More information about the ARDC Project and Work Package 4: <br>https://ardc.edu.au/program/bushfire-data-challenges/</div><div> More information about the Fire History Data Dictionary: <br>https://www.afac.com.au/insight/doctrine/article/current/fire-history-data-dictionary</div><div><br></div><div>The Historical Bushfire Boundaries dataset represents the aggregation of jurisdictional supplied burnt areas polygons stemming from the early 1900's through to 2022 (excluding the Northern Territory). The burnt area data represents curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns. To ensure the dataset adhered to the nationally approved and agreed data dictionary for fire history Geoscience Australia had to modify some of the attributes presented.</div><div><br></div><div>The information provided within this dataset is reflective only of data supplied by participating authoritative agencies and may or may not represent all fire history within a state.</div><div><br></div><div><b>Important:</b> The Northern Australia Fire Information (NAFI) data has been intentionally omitted from this dataset (refer to Lineage).</div>