Legacy product - no abstract available

The derivation of this data set is described in detail by M.Somerville,D. Wyborn, P. N. Chopra, S. S. Rahman, D. Estrella and T. van der Meulen(1994), "Hot Dry Rocks Feasibility Study", Australian Energy Research and Development Corporation Report 94/243, pp 133. The temperature at 5 km depth has been estimated from temperature logresults from 3475 boreholes for which bottom-hole temperature andtemperature gradient data are available. An image has been built from these extrapolated temperature estimates using the Arc/Info createtin and tinlattice commands.

The chloride deposition dataset is created by taking observational chloride in rainfall data from 291 sites across Australia and interpolating it to form a gridded data set at a resolution of 0.05° x 0.05° for the region of Australia. This dataset (and the derivative 95% confidence interval for upper and lower datasets) were created by CSIRO.

Currently a number of different landslide inventories exist in various databases within Australia, and each uniquely addresses a specific purpose. These databases range in scale and detail, and although some similarities and a number of common themes are apparent between databases, the method in which information is organised and described varies considerably.

This dataset is the mean annual surface evaporation between 1981 and 2006 and estimates potential evaporation using a variety of methods as as well as intermediary datasets. The main intermediary datasets relate to surface radiation but also include windspeed, vapour pressure deficit and air temperature. In addition, two 'reference datasets' are included: FAO56 crop reference evapotranspiration (Allen et al., 1998) and 'PenPan' evaporation (Rotstayn et al. 2006), which is synthetic US Class A pan evaporation. The source data (maximum and minimum air temperature, vapour pressure) are not available through this website (see Jones et al. (2009) for access). Each dataset describes a specific variable for a specific time-step. That is, data are supplied as daily values as well as monthly and annual aggregates/averages. Long-term (1981-2006) annual averages are also provided. Specifics on the source data and the formulations used to generate each variable are outlined fully in Donohue et al. (2009). CSIRO Land and Water is the custodian of this dataset and it can be downloaded from http://www-data.wron.csiro.au/ts/climate/evaporation/donahue For full metadata, can acquire it at the above website or can see the publications: Donohue R. J., McVicar T. R. & Roderick M. L. (2010) Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate. Journal of Hydrology, 386, 186-197, doi:10.1016/j.jhydrol.2010.03.020 or Donohue R. J., McVicar T. R. & Roderick M. L. (2009) Generating Australian potential evaporation data suitable for assessing the dynamics in evaporative demand within a changing climate. CSIRO: Water for a Healthy Country National Research Flagship, Canberra. http://www.clw.csiro.au/publications/waterforahealthycountry/2009/wfhc-evaporative-demand-dynamics.pdf for more information.

Spatial data representing the outlines of the 2012 Offshore Petroleum Acreage Release Areas.

The soil landscapes map is a vector data set showing the soil landscape polygons from the ten sheets of the Atlas of Australian Soils. Attributes include the Atlas of Australian Soils map unit (soil landscape) and dominant soil type attributes. The digital version of the Atlas of Australian Soils was created by NRIC (National Resource Information Centre) in 1991 from scanned tracings of the published hardcopy maps (1 - 10), Northcote et al. (1960 - 1968). The Atlas of Australian Soils (Northcote et al, 1960-68) was compiled by CSIRO in the 1960's to provide a consistent national description of Australia's soils. It comprises a series of ten maps and associated explanatory notes, compiled by K.H. Northcote and others. The maps were published at a scale of 1:2,000,000, but the original compilation was at scales from 1:250,000 to 1:500,000.

<b>RETIRED - This record has been superseded by eCat 126310 as advised by M. Webster 16 June 2023. The National Petroleum Wells Database has now been combined with the Geoscience Australia Borehole Database (BOREHOLE). The Petroleum Wells Online Tool is no longer available for use. The same data can be accessed through the Geoscience Australia Portal. Simply select the Layers button to find the Borehole data available to view and query. If you are having trouble, please follow the <a href="https://portal.ga.gov.au/help guides">help</a>. For general inquiries, please email client services.</b> This application provides access to GA's Oracle petroleum wells databases. Data themes include header data, biostratigraphy, organic geochemistry, reservoir and facies, stratigraphy, velocity and directional surveys. Data is included for offshore and onshore regions. Scientific data entry is generally only conducted for offshore wells. Onshore data is generally acquired from state geological surveys.

The AGRF is a numerical model of the earths magnetic field over the Australian region. The model can be used to generate single point or gridded values of any element of the magnetic field (e.g., magnetic declination, inclination, or total intensity) together with annual change estimates. The AGRF is valid only for the Australian region, where it is considered to be more accurate than global models such as the International Geomagnetic Reference Field. The version here, AGRF00, is valid for years between 1995 and 2005. AGRF is also provided online. The user must input the latitude, longitude, and elevation of a site together with the year. http:/www.agso.gov.au/geophysics/geomag/rf/agrfform.html FURTHER INFORMATION:- The AGRF represents a combination of the earths main (core) field and the long wavelength crustal field. Local crustal anomolies and disturbances which are external in origin (e.g. magnetic storms) are not represented. The model is based on all available ground, airborne, and satellite vector survey data. Magnetic observatory and repeat station survey data from the region are used to update these main/crustal field data sets and to provide the estimates of annual change. The region modelled is a spherical cap of radius 28 deg centred at 24 degS, 135 degE. Model values outside a radius of 24 deg are considered to be unreliable because of edge effects.

The Geology Regolith dataset is a generalised version based on regolith type of the Surface Geology of Australia (2010 edition) released by Geoscience Australia (Geocat Record 70311). This dataset 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.