AndreaBozzo/ceres-open-data-index huggingface dataset:
Ashburton, WA, 2006 (P1134), elevation line data

The Digital Elevation Model represents ground surface topography between points of known elevation. The elevation data was calculated using the altimeters and Global Positioning System (GPS) sensor used for the benefit of airborne magnetic and radiometric data on the same survey. The elevation is the height relative to the Australian Height Datum GDA94 (AUSGEOID09). The processed elevation data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
 These line dataset from the Ashburton, WA, 2006 survey were acquired in 2006 by the WA Government, and consisted of 106235 line-kilometres of data at 400m line spacing and 60m terrain clearance.

Tags: Australia, DEM, EARTH SCIENCES, Earth sciences, Elevation, GADDS2.0, Published_External, WA, airborne digital data, geophysical survey, geophysics, line, survey 1134, terrain, vector
Organization: Geoscience Australia Data
Inverell 1:250 000 topographic map

This map is part of the series that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5 km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Each standard map covers an area of 1.5 degrees longitude by 1 degree latitude or about 150 kilometres from east to west and 110 kilometres from north to south. There are about 50 special maps in the series and these maps cover a non-standard area. Typically, where a map produced on standard sheet lines is largely ocean it is combined with its landward neighbour. These maps contain natural and constructed features including road and rail infrastructure, vegetation, hydrography, contours (interval 50m), localities and some administrative boundaries. The topographic map and data index shows coverage of the sheets. Product Specifications Coverage: The series covers the whole of Australia with 513 maps. Currency: Ranges from 1995 to 2009. 95% of maps have a reliability date of 1994 or later. Coordinates: Geographical and either AMG or MGA (post-1993) Datum: AGD66, GDA94, AHD. Projection: Universal Traverse Mercator (UTM) Medium: Paper, flat and folded copies.

Tags: 250K scale, AU-NSW, Published_External, Topographic Map, Topology, topography
Organization: Geoscience Australia Data
Carbon dioxide storage potential of the Gippsland Basin: Results of a study undertaken as part of the National CO2 Infrastructure Plan

As part of the four-year National CO2 Infrastructure Plan (NCIP), Geoscience Australia conducted a CO2 storage capacity assessment and pre-competitive data acquisition program in the offshore Gippsland Basin. This study was undertaken, in collaboration with CSIRO, to accelerate the identification of suitable long term CO2 storage sites for the development of CO2 storage infrastructure near the sources of major energy and production emissions in the Gippsland region in Victoria.

Tags: Earth Sciences, Published_External
Organization: Geoscience Australia Data
Woorong 1:50 000 topographic map

Product Specifications Coverage: Partial coverage, predominantly in northern Australia, along major transport routes, and other selected areas. About 1000 maps have been published to date. Currency: Ranges from 1968 to 2006. Coordinates: Geographical and UTM. Datum: AGD66, new edition WGS84; AHD. Projection: Universal Transverse Mercator UTM. Medium: Paper, flat copies only.

Tags: AU-SA, Orthophoto Map, Published_External, Topographic Map, Topology, topography
Organization: Geoscience Australia Data
GSWA Eucla Basin 2 Loongana TMI Grid Geodetic

Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
This GSWA Eucla Basin 2 Loongana TMI Grid Geodetic has a cell size of 0.00042 degrees (approximately 43m). The units are in nanoTesla (or nT). The data used to produce this grid was acquired in 2010 by the WA Government, and consisted of 114979 line-kilometres of data at 200m line spacing and 50m terrain clearance.

Tags: Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, NCI, Published_External, TMI, WA, airborne digital data, geophysical survey, geophysics, grid, mag, magnetics, magnetism, palaeomagnetism, raster, survey 1221, total magnetic intensity
Organization: Geoscience Australia Data
Cootamundra dose rate grid geodetic

The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. The terrestrial dose rate grid is derived as a linear combination of the filtered K, U and Th grids. A low pass filter is applied to this grid to generate the filtered terrestrial dose rate grid.
This Cootamundra dose rate grid geodetic has a cell size of 0.00052 degrees (approximately 53m) and shows the terrestrial dose rate of the Cootamundra, NSW, 1997/98. The data used to produce this grid was acquired in 1997 by the NSW Government, and consisted of 69086 line-kilometres of data at 250m line spacing and 80m terrain clearance.

Tags: Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, K, NASVD, NCI, NSW, Published_External, Th, U, airborne digital data, dose, dose rate, gamma-ray, geophysical survey, geophysics, grid, potassium, rad, radiometrics, raster, rate, spectrometry, survey 681, thorium, uranium
Organization: Geoscience Australia Data
AUSGeoid98 v.1.0 data files:  (si57-07)

AUSGeoid98 data files contain a 2 minute grid of AUSGeoid98 data covering the Australian region, which you can use to interpolate geoid-ellipsoid separations for the positions required.You can use your own interpolation software, or you can use Geoscience Australia's Windows Interpolation software (Winter). The data files are text files in a standard format that cover the same area as standard topographic map areas. Files covering both 1:250,000 (approximately 100 x 150 km) and 1:1,000,000 (approximately 400 x 600 km) map areas are available. There is a 4 minute overlap on all sides of each area. Data format: AUSGeoid98 data files have a header record at the start of each file, to distinguish them from the superseded AUSGeoid93 data files. AUSGeoid98 data files show the geoid-ellipsoid separation to 3 decimal places, while the superseded AUSGeoid93 data files showed only 2 decimal places. AUSGeoid98 deflections of the vertical were computed from the geoid-ellipsoid separation surface, while the AUSGeoid93 deflections of the vertical were computed from OSU91A.

Tags: AU, AUSGeoid98, Geodesy, Geodetic Data, Published_External, dataset, geodesy
Organization: Geoscience Australia Data
Gordon Creek 1:100 000 unpublished topographic map

At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour interval is 20 metres.

Tags: 100K unpublished, AU-NT, Published_External, Topographic Map, Topology
Organization: Geoscience Australia Data
Adavale Basin region: Adavale Basin groundwater package

Publicly available groundwater data have been compiled to provide a common information base to inform environmental, resource development and regulatory decisions in the Adavale Basin region. This data guide gives examples of how these data can be used. The data package included with this data guide captures existing knowledge of Adavale Basin aquifers and their properties, including salinity and water levels. The methods to derive these data for all Adavale Basin aquifers are outlined in the associated metadata files. These are described in groundwater conceptual models (Gouramanis et al., 2023).
The Adavale Basin includes multiple aquifer systems that are grouped and more broadly defined as the Adavale Basin aquifers. Compiled data are assigned to these intervals and used to characterise groundwater systems at the basin scale.
The data are compiled for a point in time to inform decisions on potential resource developments in the Basin. The available historical groundwater data can be used to assess the potential effects on groundwater. The data can also be used for other purposes, such as exploring unallocated groundwater resource potential. Data to January 2022 are used for this compilation.

Tags: Adavale Basin, Australia, EARTH SCIENCES, Geology, Groundwater, Published_External, TEGI, Trusted environmental and geological information
Organization: Geoscience Australia Data
Interpretation of fabrics in ferruginous lag

Lag, a surface veneer of diverse ferruginous fragments, is common on deeply weathered terrain of the Yilgarn Craton, and particularly abundant over mafic and ultramafic rocks. It is a residual accumulation and is dispersed largely by sheetwash. The geochemistry of lag has been used extensively and successfully in the search for gold and base metals in relict and erosional regimes. However, the petrographic potential of lag for rock type identification has not been fully recognised.  Ferruginous lag comprises lithorelics or lateritic nodules and pisoliths, which are generally related to the regolith substrate. Their external appearance gives clues to the nature of the regolith; their interior fabrics can contain evidence of the underlying rocks and their weathering history. Iron oxides may form pseudomorphs after pre-existing minerals and fabrics, but identification of these precursors can be difficult. Where ferruginisation occurred during relatively early weathering, a wide variety of primary rock fabrics may be preserved. If it took place during later weathering stages, secondary fabrics, related to authigenic minerals, may also be preserved. If ferruginisation followed pedoplasmation, primary fabric elements are lost, although pockets of earlier fabrics may still be preserved.  Preserved primary fabrics are illustrated in lag fragments from sites on the Yilgarn Craton of Western Astralia, namely Beasley Creek (phyllitic schist, mafic and ultramafic schists and deeply weathered Permian tillites), Ora Banda (deeply-weathered peridotites and pyroxenites) and Bottle Creek (phyllic alteration).  Pseudomorphs after mineral fabrics may be destroyed by multi-cyclic precipitation of secondary iron oxides.  After dissolution of pre-existing minerals, goethite may form colloform structures lining, and even filling, the resultant voids. In some places the fabric is replaced progressively by spongy or massive goethite.  In many places, fabric destruction is incomplete, leaving partly erased fabrics.  Despite these limitations, careful search for useful primary fabrics in lag is a powerful and non-invasive aid to identification of underlying rocks, particularly in areas of partial profile truncation.

Tags: Earth Sciences, GA Publication, Journal, Published_External
Organization: Geoscience Australia Data
Mount Wedge 1:100 000 unpublished topographic map

At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour interval is 20 metres.

Tags: 100K unpublished, AU-NT, Published_External, Topographic Map, Topology
Organization: Geoscience Australia Data
Renewable Energy Capacity Factor Maps (2021)

Geoscience Australia and Monash University have produced a series of renewable energy capacity factor maps of Australia. Solar photovoltaic, concentrated solar power, wind (150 metre hub height) and hybrid wind and solar capacity factor maps are included in this dataset. All maps are available for download in geotiff format. 
Solar Photovoltaic capacity factor map 
The minimum capacity factor is &lt;10% and the maximum is 25%. The map is derived from Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018).
Concentrated Solar Power capacity factor map
The minimum capacity factor is 52% and the maximum is 62%. The map is derived from Bureau of Meteorology (2020) data. Minimum exposure cut-off values used are from International Renewable Energy Agency (2012) and Wang (2019). The scientific colour map is sourced from Crameri (2018).
Wind (150 m hub height) capacity factor map
The minimum capacity factor is &lt;15% and the maximum is 42%. The map is derived from Global Modeling and Assimilation Office (2015) and DNV GL (2016) data. The scientific colour map is sourced from Crameri (2018).
Hybrid Wind and Solar capacity factor maps
Nine hybrid wind and solar maps are available, divided into 10% intervals of wind to solar ratio (eg. (wind 40% : solar 60%), (wind 50% : solar 50%), (wind 60% : solar 40%) etc.). The maps show the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum and maximum capacity factors vary relative to a map’s specified wind to solar ratio. A wind to solar ratio of 50:50 produces the highest available capacity factor of 64%. The maps are derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018).
See the ‘Downloads' tab for the full list of references.  
Disclaimer
The capacity factor maps are derived from modelling output and not all locations are validated. Geoscience Australia does not guarantee the accuracy of the maps, data, and visualizations presented, and accepts no responsibility for any consequence of their use. Capacity factor values shown in the maps should not be relied upon in an absolute sense when making a commercial decision. Rather they should be strictly interpreted as indicative. Users are urged to exercise caution when using the information and data contained. If you have found an error in this dataset, please let us know by contacting clientservices@ga.gov.au.
This dataset is published with the permission of the CEO, Geoscience Australia.

Tags: EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Published_External, capacity factor, renewable energy
Organization: Geoscience Australia Data
Mount Frankland 1:50 000 topographic map

Product Specifications Coverage: Partial coverage, predominantly in northern Australia, along major transport routes, and other selected areas. About 1000 maps have been published to date. Currency: Ranges from 1968 to 2006. Coordinates: Geographical and UTM. Datum: AGD66, new edition WGS84; AHD. Projection: Universal Transverse Mercator UTM. Medium: Paper, flat copies only.

Tags: 50K scale, AU-WA, Published_External, Topographic Map, Topology, topography
Organization: Geoscience Australia Data
Glanworth 1:100 000 unpublished topographic map

At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour interval is 20 metres.

Tags: 100K unpublished, AU-QLD, Published_External, Topographic Map, Topology
Organization: Geoscience Australia Data
NE Queensland (Dobbyn, Millungera), Qld, 1982-4. (P487), radiometric line data, AWAGS levelled

The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
 This NE Queensland (Dobbyn, Millungera), Qld, 1982-4. (P487), radiometric line data, AWAGS levelled were acquired in 1982 by the QLD Government, and consisted of 30105 line-kilometres of data at 1500m line spacing and 150m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

Tags: AWAGS, Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, NASVD, Published_External, QLD, airborne digital data, gamma-ray, geophysical survey, geophysics, line, potassium, radiometrics, spectrometry, survey 487, thorium, uranium, vector
Organization: Geoscience Australia Data
Westmoreland, Qld, 2007 (P1147), magnetic line data, AWAGS levelled

Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
 These line dataset from the Westmoreland, Qld, 2007 survey were acquired in 2006 by the QLD Government, and consisted of 60570 line-kilometres of data at 400m line spacing and 60m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

Tags: AWAGS, Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, Published_External, QLD, airborne digital data, geophysical survey, geophysics, line, magnetic, magnetics, magnetism and palaeomagnetism, survey 1147, vector
Organization: Geoscience Australia Data
EFTF Borehole Nuclear Magnetic Resonance data release

Nuclear Magnetic Resonance data may be used to estimate physical properties such as water content, NMR relaxation time, and porosity of formations penetrated by boreholes. These data were acquired as part of the Exploring for the Future (EFTF) program at field sites within the East Kimberley and Southern Stuart Corridor field areas.

Tags: EARTH SCIENCES, EFTF, Electrical and Electromagnetic Methods in Geophysics, Exploring for the Future, GEOPHYSICS, Nuclear Magnetic Resonance, Published_External, Water Content
Organization: Geoscience Australia Data
Laverton thorium grid geodetic

The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
This radiometric thorium grid has a cell size of 0.00083 degrees (approximately 87m) and shows thorium element concentration of the Laverton, WA 1992 in units of parts per million (or ppm). The data used to produce this grid was acquired in 1992 by the WA Government, and consisted of 10225 line-kilometres of data at 400m line spacing and 60m terrain clearance.

Tags: Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, NASVD, NCI, Published_External, Th, WA, airborne digital data, gamma-ray, geophysical survey, geophysics, grid, rad, radiometrics, raster, spectrometry, survey 587, thorium
Organization: Geoscience Australia Data
Hamersley Basin (Mt Phillips,Mt Egerton,Collier,Wyloo), WA, 1983 (P513), magnetic line data

Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
 These line dataset from the Hamersley Basin (Mt Phillips,Mt Egerton,Collier,Wyloo), WA, 1983 survey were acquired in 1983 by the WA Government, and consisted of 44282 line-kilometres of data at 1500m line spacing and 100m terrain clearance.

Tags: Australia, EARTH SCIENCES, Earth sciences, GADDS2.0, Published_External, WA, airborne digital data, geophysical survey, geophysics, line, magnetic, magnetics, magnetism and palaeomagnetism, survey 513, vector
Organization: Geoscience Australia Data
An information infrastructure for disaster management in Pacific Island countries

This report is the outcome of a study into the information needs of disaster managers in Pacific Island Countries (PICS) and the nature of the information infrastructure needed to ensure the delivery of that information. It addresses two key aspects. First, it provides a guide for National Disaster Management Officers (NDMO) and regional agencies such as the South Pacific Applied Geoscience Commission (SOPAC) which are engaged in disaster research, to follow in building their own national and regional disaster information collections. Second, it provides some observations on a range of technical and organisational issues, such as data formats, transfer standards and custodianship arrangements, that need to be considered in establishing and operating a modem information infrastructure.

Tags: Earth Sciences, GA Publication, Published_External, Record
Organization: Geoscience Australia Data