Data Package
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Source The data was sourced from CSIRO (Victoria) in 2012 by Bob Cechet. It is not known specifically which division of CSIRO, although it is likely to have been the Marine and Atmospheric Research Division (Aspendale), nor the contact details of the person who provided the data to Bob. The data was originally produced by CSIRO for their input into the South-East Queensland Climate Adaptation Research Initiative (SEQCARI). Reference, from an email of 16 March 2012 sent from Bob Cechet to Chris Thomas (Appendix 1 of the README doc stored at the parent folder level with the data), is made to 'download NCEP AVN/GFS files' or to source them from the CSIRO archive. Content The data is compressed into 'tar' files. The name content is separated by a dot where the first section is the climatic variable as outlined in the table format below: Name Translation rain 24 hr accumulated precipitation rh1_3PM Relative humidity at 3pm local time tmax Maximum temperature tmin Minimum temperature tscr_3PM Screen temperature (2 m above ground) at 3pm local time u10_3PM 10-metre above ground eastward wind speed at 3pm local time v10_3PM 10-metre above ground northward wind speed at 3pm local time The second part of the name is the General Circulation Model (GCM) applied: Name Translation gfdlcm21 GFDL CM2.1 miroc3_2_medres MIROC 3.2 (medres) mpi_echam5 MPI ECHAM5 ncep NCEP The third, and final, part of the tarball name is the year range that the results relate to: 1961-2000, 1971-2000, 2001-2040 and 2041-2099 Data format and extent Inside each of the tarball files is a collection of NetCDF files covering each simulation that constitutes the year range (12 simulations for each year). A similar naming protocol is used for the NetCDF files with a two digit extension added to the year for each of the simulations for that year (e.g 01-12). The spatial coverage of the NetCDF files is shown in the bounding box extents as shown below. Max X: -9.92459297180176 Min X: -50.0749073028564 Max Y: 155.149784088135 Min Y: 134.924812316895 The cell size is 0.15 degrees by 0.15 degrees (approximately 17 km square at the equator) The data is stored relative to the WGS 1984 Geographic Coordinate System. The GCMs were forced with the Intergovernmental Panel on Climate Change (IPCC) A2 emission scenario as described in the IPCC Special Report on Emissions Scenarios (SRES) inputs for the future climate. The GCM results were then downscaled from a 2 degree cell resolution by CSIRO using their Cubic Conformal Atmospheric Model (CCAM) to the 0.15 degree cell resolution. Use This data was used within the Rockhampton Project to identify the future climate changes based on the IPCC A2 SRES emissions scenario. The relative difference of the current climate GCM results to the future climate results was applied to the results of higher resolution current climate natural hazard modelling. Refer to GeoCat # 75085 for the details relating to the report and the 59 attached ANZLIC metadata entries for data outputs.
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This data package comprises the data used and developed for the Pacific Island Groundwater and Future Climates: First-Pass Regional Vulnerability Assessment project. The data contained included Original data sourced for the project, Final data produced by the project, MXD's of maps created, and scripts used within the project. Documentation from the project has been stored on TRIM at: Record Number P12/190.
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Dataset of pre-release data suitable only for graphical representation of petroleum blocks defined under the OPGGSA2006. Block Product Description and Limitations document included. NOPTA.
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When the PMDCRC project concluded at Geoscience Australia, some data was left unsorted. This directory contains that residual data. In 2001, a partnership was formed between Australia's mining industry and research community to examine the issues surrounding predictive mineral exploration in Australia. In the preceding decade, despite record levels of exploration, the discovery of high level deposits declined. The predictive mineral discovery Cooperative Research Centre (pmd *CRC ) began its work to find new methods of predicting where the mineral deposits lay. The research looked to create a fundamental shift in mineral exploration practice giving greater scope for larger finds at greatly reduced costs by developing a vastly improved understanding of mineralising processes and a four dimensional understanding of the evolution of the geology of mineralised terrains. Since its inception, research has been carried out by the CRC through innovative and effective programs and projects over a two stage process. This website will act as a major portal for the dissemination of research findings. As well it offers the mining industry, the education sector and the wider community information and access to experts in the field, case studies of successful programs, business opportunities and employment directions for young emerging students and researchers. The pmd *CRC formally ceased to exist on 30 June 2008
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This release presents data collected as part of the collaborative Geoscience Australia-Geological Survey of Victoria Stavely Project. During 2014 fourteen pre-competitive stratigraphic drill holes were completed in the prospective Stavely region in western Victoria in order to better understand subsurface geology and its potential for a variety of mineral systems. The drill holes were completed between April and September 2014 in partnership with the Deep Exploration Technologies Cooperative Research Centre (DET CRC). Data contained within this release were collected in the field at the drill sites, either during or immediately following drilling. Data presented in this release include drill hole collar information, operational metadata and daily drilling reports, drill core photographs, down-hole surveys, down-hole wireline geophysical logging results, down-hole temperature logging results, down-hole AutoSonde(TM) gamma data, Lab-at-Rig (LAR®), X-ray fluorescence data, diamond drill core recovery percentages, and handheld magnetic susceptibility measurements on the drill core.
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From 1995 to 2000 information from the federal and state governments was compiled for Comprehensive Regional Assessments (CRA), which formed the basis for Regional Forest Agreements (RFA) that identified areas for conservation to meet targets agreed by the Commonwealth Government with the United Nations. This CD was created as part of GA's contribution to the East Gippsland CRA. It contains final versions of all data coverages and shapefiles, AMLs and Graphics files in ArcInfo (.gra), postscript (.ps) and Web ready (.gif) formats, and final versions of documents, maps and figures submitted for publishing.
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Dataset for the Northwest Shelf Release area contains biostratigraphic, reservoir facies, and organic geochemistry from wells in the release region.
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The South Australia Geoscientific Geographic Information System is a state wide integration of geological, geophysical, geochemical and cultural data. It provides the Geological Survey, Minerals & Energy Division, PIRSA, with its primary mechanism for distributing regional geoscientific information for exploration and research, via digital media. Datasets in this package are projected in Universal Transverse Mercator (UTM) Map Grid of Australia (MGA) coordinates relative to GDA94. The datasets are split into the three grid zones 52, 53 and 54, which span South Australia.
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Dataset for the Gippsland Release area contains biostratigraphic, reservoir facies, and organic geochemistry from wells in the release region. This area is part of the Southeast Region.
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Conductivity-depth estimates generated using the 1D Geoscience Australia layered earth inversion algorithm (GA-LEI) have been released to the public domain. The GA-LEI has been shown to provide useful mapping of subsurface conductivity features in the Paterson; for example paleovalleys, unconformities and faults. GA-LEI interpretations have been supported by independent borehole conductivity logs, and lithological drill-hole information. The Geoscience Australia Record 2010/12; Geological and energy implications of the Paterson Province airborne electromagnetic (AEM) survey, Western Australia, summarises the AEM processing, inversion, interpretation and implications for mineral exploration using the 1D GA-LEI. There is an inherent assumption in the GA-LEI algorithm that the earth can be represented by a set of 1D layers, which extend to infinite distance in the horizontal plane. This layered earth assumption has some limitations, and has been demonstrated to create artefacts when applied to heterogeneous 3D geological features. 3D inversion methods can potentially overcome some of the limitations of 1D inversion methods, reducing the artefacts of a 1D earth assumption. 3D inversions require much greater computational resources than 1D methods because they have to solve many large systems of equations. In addition, a large sensitivity matrix is computed, which increases memory requirements, and the process must be repeated for multiple iterations. This computational expense has generally limited the application of 3D inversions to AEM datasets, and restricted its practicality as a general mapping tool. The EMVision® inversion generated by TechnoImaging presents a method of running a 3D inversion, with a runtime comparable to 1D inversion methods. The EMVision® algorithm uses a moving footprint to limit the number of data points needed as input to the inversion at any one location. A background conductivity model is chosen to represent the far-field response of the earth, and the data points within the AEM footprint are treated as anomalies with respect to the background. In 2010, Geoscience Australia decided that a comparison of the GA-LEI with the EMVision® inversion would be useful both for geological interpretation and for assessing the benefits of 3D inversion of AEM. A subset of the regional Paterson AEM dataset around the Kintyre uranium deposit was provided to TechnoImaging to create a 3D inversion using EMVision® software. The data subset was a combination of GA data and data owned by Cameco Corporation and the cost of inversion by TechnoImaging was shared by both parties. Under the terms of the agreement between Cameco Corporation and Geoscience Australia there was a moratorium on the data release until 2012.