This software contains the v1.0.0 release of Nilas: the south ocean mapping platform (https://nilas.org). This mapping tool (beta) has been developed by the Australian Antarctic Division for the Antarctic sea-ice zone to support their research and operational activities. Nilas displays multiple layers of physical and biogeochemical variables. These variables are primarily derived from remotely sensed products and updated as source data become available. The source code is well documented with both readme files and inline comments. This application is written primarily in javascript and was developed using Node.js, vite and a small amount of vue. The Nilas platform was based on the Leaflet open source library. It can be configured to display other Antarctic related geospatial products including raster and vector data.

See the related record, "AAS_4506_NILAS_DATA" for data from this project.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes …Show full descriptionThe eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS. This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010). This web map service is predominantly maintained for the legacy eAtlas map viewer (http://maps.eatlas.org.au/geoserver/www/map.html). All the these legacy map layers are available through the new eAtlas mapping portal (http://maps.eatlas.org.au), however the legends have not been ported across. This WMS is implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science. For ArcMap use the following steps to add this service: "Add Data" then choose GIS Servers from the "Look in" drop down. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/geoserver/wms?" Note: this service has around 460 layers of which approximately half the layers correspond to Standard Error maps, which are WRONG (please ignore all *Std_Error layers. This services is operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

The Millennium Coral Reef Mapping Project provides thematic maps of coral reefs worldwide at geomorphological scale. Maps were created by photo-interpretation of Landsat 7 and Landsat 8 satellite images. Maps are provided as standard Shapefiles usable in GIS software. The geomorphological classification scheme is hierarchical and includes 5 levels. The GIS products include for each polygon a number of attributes. The 5 level geomorphological attributes are provided (numerical codes or text). The Level 1 corresponds to the differentiation between oceanic and continental reefs. Then from Levels 2 to 5, the higher the level, the more detailed the thematic classification is. Other binary attributes specify for each polygon if it belongs to terrestrial area (LAND attribute), and sedimentary or hard-bottom reef areas (REEF attribute). Examples and more details on the attributes are provided in the references cited. The products distributed here were created by IRD, in their last version. Shapefiles for 29 atolls of Australia as mapped by the Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Funded by National Aeronautics and Space Administration, NASA grants NAG5-10908 (University of South Florida, PIs: Franck Muller-Karger and Serge Andréfouët) and CARBON-0000-0257 (NASA, PI: Julie Robinson) from 2001 to 2007. Funded by IRD since 2003 (in kind, PI: Serge Andréfouët).

A legacy of over 500 paper maps records geological lineament analysis of Australia conducted by the late Tim O'Driscoll in Western Mining Corporation Exploration Division during the 1960s to 1980s. The lineament interpretations were used to target mineral exploration, famously including the analysis that led to the discovery of the Olympic Dam deposit in South Australia. Papers discussing the lineament approach are collected in Bourne & Twidale (2007). Lineaments were interpreted from a range of data available at the time, including magnetic and gravity maps, topography, standard geological maps, and 'chicken track'interpretation of aerial photographs and early satellite images. This product comprises high quality digital scans of 130 of the original paper maps, rectified and georeferenced for use in GIS software. Geoscience Australia reproduces these maps and makes them available publicly for their historic and scientific interest. The paper originals are held in the Geoscience Australia library.

This dataset is designed to be used as a "graticule layer", allowing a graticule to be drawn on maps when using software packages that don't support their generation in other ways. It consists of lines spaced at 1km intervals, running north-south (attributed with Easting) and east-west (attributed with Northing). It is applicable for use where an MGA graticule is required. Can be projected to provide AMG graticules over non-MGA data (eg Geographic or AMG).

This dataset forms part of a series of graticule layers, one for each common projection.

The Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity, Acadia National Park, Maine is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (isha_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (isha_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (acad_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (acad_surficial_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (isha_surficial_geology_metadata_faq.pdf). Please read the acad_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maine Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (isha_surficial_geology_metadata.txt or isha_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Two full-colour map sheets (at 1:5 million and 1:10 million scales) that show the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and associated mineral deposits …Show full descriptionTwo full-colour map sheets (at 1:5 million and 1:10 million scales) that show the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and associated mineral deposits throughout the continent. These rocks have been assigned to 30 Magmatic Events (ME) ranging in age from the Early Palaeoproterozoic ~2455 Ma (ME 1) to the Early Cambrian ~520 Ma (ME 30). The presence and correlation of these Magmatic Events into five Major Crustal Elements and 28 provinces are represented in a Time-Space-Event Chart on Sheet 2. Enlarged inset maps on Sheet 1 provide in more detail the polygon and line data of certain regions, and other inset maps on Sheet 2 show the distribution of Proterozoic and Archaean rocks, mineral deposits and occurrences, and five Large Igneous Provinces (LIPs). This national map supersedes two similar 'Proterozoic Mafic-Ultramafic Magmatic Events' maps relating to Western Australia (2006; GeoCat 64813) and the Northern Territory-South Australia (2007; GeoCat 65257). A user guide to the map series is described in Geocat 66624. A georeferenced image of the map Australian Proterozoic Mafic-Ultramafic Magmatic Events (Sheet 1) is also provided. The image shows spatial distribution of Proterozoic (2500 Ma to 545 Ma) mafic-ultramafic magmatic events in Australia. The map illustrates for the first time, the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and their associated mineral deposits. The image has been georeferenced using ESRI ArcGIS 9.3 software. Projection: Lambert Conformal Conic Datum: Geocentric Datum of Australia 1994 False Easting: 0.00000000 False Northing: 0.00000000 Central Meridian: 134.00000000 Standard Parallel 1: -18.00000000; Standard Parallel 2: -36.00000000 Latitude Of Origin: 0.00000000 The package contains five files contained in a ZIP file [ZIP 25MB]: geo_national_mafic_part1_300dpi1.rrd geo_national_mafic_part1_300dpi1.xml geo_national_mafic_part1_300dpi1.aux geo_national_mafic_part1_300dpi1.jpg geo_national_mafic_part1_300dpi1.jwg Related products:Guide to Using the Australian Proterozoic Mafic-Ultramafic Magmatic Events Map Proterozoic Mafic-Ultramafic Magmatic Events Resource Package Archean Mafic-Ultramafic Magmatic Events Resource Package Guide to using the Australian Archean Mafic-Ultramafic Magmatic Events Map Proterozoic Large Igneous Provinces: Map Sheets 1 and 2 Guide to using the Map of Australian Proterozoic Large Igneous Provinces

Abstract The Mineral Potential web service provides access to digital datasets used in the assessment of mineral potential in Australia. The service includes maps showing the potential for carbonatite-related rare earth element mineral systems in Australia. Maps showing the potential for carbonatite-related rare earth element (REE) mineral systems in Australia. Model 2 integrates four components: sources of metals, energy drivers, lithospheric architecture, and ore deposition. Supporting datasets including the input maps used to generate the mineral potential maps, an assessment criteria table that contains information on the map creation, and data uncertainty maps are available here Uncertainty Maps. The data uncertainty values range between 0 and 1, with higher uncertainty values being located in areas where more input maps are missing data or have unknown values. Map images provided in the extended abstract have the same colour ramp and equalised histogram stretch, plus a gamma correction of 0.5 not present in the web map service maps, which was applied using Esri ArcGIS Pro software. The extended abstract is avalable here Alkaline Rocks Atlas Legend

Currency Date modified: 16 August 2023 Next modification date: As Needed Data extent Spatial extent North: -9° South: -44° East: 154° West: 112° Source Information Catalog entry: Carbonatite-related rare earth element mineral potential maps Lineage Statement Product Created 20 April 2023 Product Published 16 August 2023 A large number of published datasets were individually transformed to summarise our current understanding of the spatial extents of key mineral system mappable criteria. These individual layers were integrated using statistically derived importance weightings combined with expert reliability weightings within a mineral system component framework to produce national-scale mineral potential assessments for Australian carbonatite-related rare earth element mineral systems. Contact Geoscience Australia, clientservices@ga.gov.au

The complete infilled K, eTh and eU grids are based on the Radiometric Map of Australia (radmapv4) 2019 (Poudjom Djomani and Minty, 2019a, b, c) with gaps in coverage infilled using environmental correlation machine learning prediction. 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). However because Uranium and Thorium abundances are calculated by measuring gamma emission associated with their daughter radionuclides they are typically expressed as equivalent eU and eTh. The 2019 radiometric grid is compiled from airborne geophysical surveys conducted by Commonwealth, State and Northern Territory Governments and the private sector. Over 600 airborne gamma-ray spectrometric surveys were merged and gridded to a cell size of approximately 100m (0.001 degrees) to produce the Radiometric Map of Australia (radmapv4) 2019. Gamma-rays emitted from the surface mainly relate to the mineralogy and geochemistry of the bedrock and weathered materials or regolith. To infill gaps in the national gamma-ray grid (radmapv4 -2019) we have compiled a set of national covariates or predictive datasets that capture landscape processes, regolith and geology that are likely correlated to the distribution of K, eTh and eU at the surface. These datasets include satellite imagery (to map surface mineralogy and vegetation), terrain attributes (e.g. slope, relief), gravity (Lane et al, 2020) and surface geology. A boosted regression tree algorithm called XGBoost (open-source software library for gradient boosting machine learning) was used to train relationships between airborne estimates of K, eTh and eU with the covariate datasets. The training set used the Australia Wide Airborne Geophysical Survey (AWAGS) (Milligan et al., 2009). Local model predictions were generated for gaps in the 2019 version of the national grid by clipping subsets of the AWAGS survey lines and in places extracting additional training survey sites from nearby surveys. The strength of the correlations between the training observation and the covariates were highest in semi-arid areas with decreasing correlations from K through to eTh and eU. Modelled grids of K, eTh and eU were merged with the Radiometric Map of Australia (radmapv4 -2019) using the grid merge module in Intrepid Geophysics software. The first step was to scale the modelled dataset to the reference dataset, then apply a DC shift. The second step was to surface adjust the grid, which computes a two dimensional surface calculated from the differences in its value between the reference grid, it then fits a difference surface with the largest mean signal value and reiterates this process until the difference is within a pre-defined threshold. The third step is to merge the modelled dataset with the Radiometric Map of Australia (radmapv4) 2019, using a feathering process where measured radiometric values are ranked higher over the modelled data. The complete infill radiometric grids have been generated for regolith (including soils) and geological mapping and can be used as a seamless dataset for predictive modelling using machine learning. The product can be seen as an interim dataset until the gaps are filled in through new airborne survey acquisition. It is important to recognise that the infill grids are based on correlations between airborne flight-line estimates of the radioelements and covariate thematic datasets. Responses and patterns observed within these gap areas are therefore not reflecting measurements using the airborne spectrometry. Equally, the covariate approach should not be expected to confidently identify gamma-ray ‘outliers’ or anomalies that have been used in other geophysical survey approaches. Lane, R. J. L., Wynne, P. E., Poudjom Djomani, Y. H., Stratford, W. R., Barretto, J. A., and Caratori Tontini, F., 2020, 2019 Australian National Gravity Grids: Geoscience Australia, eCat Reference Number 133023, https://pid.geoscience.gov.au/dataset/ga/133023 Milligan, P., Minty, B., Richardson, M and Franklin, R. 2009 The Australia-Wide Airborne Geophysical Survey - accurate continental magnetic coverage, ASEG, Extended Abstracts, 2009:1, 1-9 Poudjom Djomani, Y., Minty, B.R.S. 2019a. Radiometric Grid of Australia (Radmap) v4 2019 unfiltered pct potassium. Geoscience Australia, eCat reference number 131978. http://dx.doi.org/10.26186/5dd4a7851e8db Poudjom Djomani Y., Minty, B.R.S. 2019b. Radiometric Grid of Australia (Radmap) v4 2019 unfiltered ppm thorium. Geoscience Australia, ecat reference number 131988. http://dx.doi.org/10.26186/5dd4a821a334d Poudjom Djomani, Y., Minty, B.R.S. 2019c. Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm uranium. Geoscience Australia, eCat reference number 131974. http://dx.doi.org/10.26186/5dd48ee78c980

Updated quarterly, the Landgate Basemap is comprised of simplified cadastre, topographic and road centreline information, and is the perfect backdrop to provide context for projects that require commonly used underlying WA centric location information. The Landgate Basemap provides a stylized (familiar ‘StreetSmart’ style ) layout, current, geo-referenced and view only map base. This is a view only service (i.e no data download capability) and can be viewed in combination with Landgate’s other subscription datasets, SLIP public datasets and other geo-referenced data. Designed for use within GIS and online mapping applications, the tile cached Basemap service introduces faster panning and redrawing of location information commonly used across many sectors. Key information • WA centric basemap comprising commonly used Landgate location information • cached map tiles • ESRI cache map service and WMTS (web map tile service) - publishes in WGS84 only • Update cycle: quarterly • Coverage: whole of state (includes Christmas and Cocos Keeling Islands) • QGIS 2.18 minimum required for WMTS usage. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. For more information and access to Subscription Services contact Landgate's Business Sales and Service team. Email: BusinessSolutions@landgate.wa.gov.au Services Note, the following services require 3rd party software that supports OGC Standards and Esri services.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.

This services also delivers map layers associated with the Torres Strait eAtlas.

This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.

This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.

The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"

Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.

This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.

Two full-colour map sheets (at 1:5 million and 1:10 million scales) that show the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and associated mineral deposits throughout the continent. These rocks have been assigned to 30 Magmatic Events (ME) ranging in age from the Early Palaeoproterozoic ~2455 Ma (ME 1) to the Early Cambrian ~520 Ma (ME 30). The presence and correlation of these Magmatic Events into five Major Crustal Elements and 28 provinces are represented in a Time-Space-Event Chart on Sheet 2. Enlarged inset maps on Sheet 1 provide in more detail the polygon and line data of certain regions, and other inset maps on Sheet 2 show the distribution of Proterozoic and Archaean rocks, mineral deposits and occurrences, and five Large Igneous Provinces (LIPs). This national map supersedes two similar 'Proterozoic Mafic-Ultramafic Magmatic Events' maps relating to Western Australia (2006; GeoCat 64813) and the Northern Territory-South Australia (2007; GeoCat 65257). A user guide to the map series is described in Geocat 66624. A georeferenced image of the map Australian Proterozoic Mafic-Ultramafic Magmatic Events (Sheet 1) is also provided. The image shows spatial distribution of Proterozoic (2500 Ma to 545 Ma) mafic-ultramafic magmatic events in Australia. The map illustrates for the first time, the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and their associated mineral deposits.
The image has been georeferenced using ESRI ArcGIS 9.3 software. Projection: Lambert Conformal Conic Datum: Geocentric Datum of Australia 1994 False Easting: 0.00000000 False Northing: 0.00000000 Central Meridian: 134.00000000 Standard Parallel 1: -18.00000000; Standard Parallel 2: -36.00000000 Latitude Of Origin: 0.00000000 The package contains five files contained in a ZIP file [ZIP 25MB]: geo_national_mafic_part1_300dpi1.rrd geo_national_mafic_part1_300dpi1.xml geo_national_mafic_part1_300dpi1.aux geo_national_mafic_part1_300dpi1.jpg geo_national_mafic_part1_300dpi1.jwg Related products: Guide to Using the Australian Proterozoic Mafic-Ultramafic Magmatic Events Map Proterozoic Mafic-Ultramafic Magmatic Events Resource Package Archean Mafic-Ultramafic Magmatic Events Resource Package Guide to using the Australian Archean Mafic-Ultramafic Magmatic Events Map Proterozoic Large Igneous Provinces: Map Sheets 1 and 2 Guide to using the Map of Australian Proterozoic Large Igneous Provinces

Area layers of US, Australia, and Canada building footprints for use with GIS mapping software, databases, and web applications.

Geoscience Australia provides 24/7 monitoring of seismic activity within Australia and the surrounding region through the National Earthquake Alerts Centre (NEAC). Recent enhancements to the …Show full descriptionGeoscience Australia provides 24/7 monitoring of seismic activity within Australia and the surrounding region through the National Earthquake Alerts Centre (NEAC). Recent enhancements to the earthquakes@GA web portal now allow users to view felt reports, submitted online – together with reports from other nearby respondents – using the new interactive mapping feature. Using an updated questionnaire based on the US Geological Survey’s Did You Feel It? System, Geoscience Australia now calculate Community Internet Intensities (CIIs) to support near-real-time situational awareness applications. Part of the duty seismologists’ situational awareness and decision support toolkit will be the production of real-time “ShakeMaps.” ShakeMap is a system that provides near-real-time maps of shaking intensity following significant earthquakes. The software ingests online intensity observations and spatially distributed instrumental ground-motions in near-real-time. These data are then interpolated with theoretical predictions to provide a grid of ground shaking for different intensity measure types. Combining these predictions with CIIs provides a powerful tool for rapidly evaluating the likely impact of an earthquake. This paper describes the application of the new felt reporting system and explores its utility for near-real-time ShakeMaps and the provision of situational awareness for significant Australian earthquakes.

The Surface Geology of Australia (2010 edition) is a seamless national coverage of outcrop and surficial geology, compiled for us e at or around 1:1 000 000 scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith m aterial covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information r egarding stratigraphic nomenclature and parentage, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies.

The dataset has been compiled from merging the seven State and Territory 1:1 000 000 scale surface geology datasets released by G eoscience Australia between 2006 and 2008, correcting errors and omissions identified in those datasets, addition of some offshor e island territories, and updating stratigraphic attribute information to the best available in 2010 from the Australian Stratigr aphic Units Database (http://www.ga.gov.au/oracle/stratnames/index.jsp). The map data were compiled largely from simplifying and edgematching existing 1:250 000 scale geological maps. Where these maps were not current, more recent source maps, ranging in s cale from 1:50 000 to 1:1 000 000 were used. In some areas where the only available geological maps were quite old and poorly lo cated, some repositioning of mapping using recent satellite imagery or geophysics was employed.

This data is freely available from Geoscience Australia under the Creative Commons Attribution 2.5 Australia Licence.

It is recommended that these data be referred to as:

Raymond, O.L., Retter, A.J., (editors), 2010. Surface geology of Australia 1:1,000,000 scale, 2010 edition [Digital Dataset] Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au

Specialised Geographic Information System (GIS) software is required to view this data.

Descriptions of MAP_SYMB attribute field:
MAP_SYMB format = Drxy

1. D = unit age. Two letters may be used for units spanning for than one age periods.
   
   

Cenozoic Cz
Quaternary Q
Mesozoic Mz
Cretaceous K
Jurassic J
Triassic -R
Paleozoic Pz
Permian P
Carboniferous C
Devonian D
Silurian S
Ordovician O
Cambrian -C
Proterozoic -P
Neoproterozoic N
Mesoproterozoic M
Paleoproterozoic L
Archean A

2. r = gross rock descriptor. A one letter code to reflect the broad lithological composition of the unit

IGNEOUS EXAMPLES
g felsic to intermediate intrusive granite, granodiorite, tonalite, monzonite, diorite, syenite
d mafic intrusive gabbro, dolerite, norite
f felsic extrusive / high level intrusive rhyolite, dacite, ignimbrite, pyroclastic rocks
a intermediate extrusive / high level intrusive andesite, trachyte, latite, pyroclastic rocks
b mafic extrusive / high level intrusive basalt, scoria, shoshonite, pyroclastic rocks
u ultramafic undivided (intrusive & extrusive) komatiite, high Mg basalt, pyroxenite, dunite, wehrlite
k alkaline ultramafic kimberlite, lamprophyre, carbonatite

SEDIMENTARY
s siliciclastic/undifferentiated sediment shale, siltstone, sandstone, conglomerate, mudstone
j volcanogenic sediment epiclastic sediments and breccias, greywacke, arkose
l carbonate sediment limestone, marl, dolomite
c non-carbonate chemical sediment chert, evaporite, phosphorite, BIF
o organic-rich rock coal, amber, oil shale

MIXED SEDIMENTARY & IGNEOUS
v felsic & mafic volcanics
i felsic & mafic intrusives
w volcanics & sediments

METAMORPHIC
y low-medium grade meta clastic sediment slate, phyllite, schist, quartzite
t low-medium grade metabasite mafic schist, greenstone, amphibolite
r low-medium grade metafelsite rhyolitic schist, meta-andesite
m calc-silicate and marble meta carbonates and calcareous sediments
n high grade metamorphic rock gneiss, granulite, migmatite
p high-P metamorphic rock eclogite, blueschist
h contact metamorphic rock hornfels, spotted slate
e metamorphosed ultramafic rocks serpentinite, talc schist, chlorite schist (no feldspars), tremolite schist, ultr amafic amphibolite

OTHER
z fault / shear rock mylonite, fault breccia, cataclasite, gouge
q vein quartz vein, carbonate vein
x complex, melange, undivided, unknown

1. xy = One or two letters to reflect the stratigraphic name of a unit. Where practical, these letters reflect stratigraphic g rouping or hierarchy. For instance, formations within a named group should have letter symbols reflecting their parent group.
   
   

eg: Tomkinson Creek Group - Lsk
Bootu Formation - Lskb

Main dataset

This dataset contains the files required to reproduce the figures and findings delivered in the manuscript: "Exploring high PT experimental charges through the lens of phase maps"

Balz S. Kamber ^1, *, Marco A. Acevedo Zamora ¹, Rodrigo Freitas Rodrigues ², Ming Li ³, Gregory M. Yaxley ², and Matthew Ng⁴

¹ School of Earth and Atmospheric Sciences, Queensland University of Technology; balz.kamber@qut.edu.au; marco.acevedozamora@qut.edu.au

² Research School of Earth Sciences, Australian National University; rodrigo.defreitasrodrigues@anu.edu.au; greg.yaxley@anu.edu.au;

³ Central Analytical Research Facility, Queensland University of Technology; m96.li@qut.edu.au;

⁴ Matthew Ng, NewSpec Pty Ltd Australia; matthew.ng@newspec.com.au;

^* Author to whom correspondence should be addressed.

The folders contains:

• scripts_update = scripts to generate the phase maps after QuPath segmentation ('qupathPhaseMap_v10_simplified.m') and re-stitch an AMICS software montage.
• UHP32_21_40_whole sample_QuPath segmentation = QuPath segmentation phase maps presented in the figures.
• UHP32_AMICS Data_auto-stitched = direct AMICS software montage output with different acquisition settings.
• UHP32_AMICS Data_re-stitched = image tiles manually exported from AMICS software that need to be processed with the 'imageJ_stack_matthew_v3.py' script.
• UHP32_detailed AMICS map_QuPath segmentation benchmark = QuPath segmentation phase map using the output montages from 'UHP32_AMICS Data_re-stitched' folder.
• UHP32_TIMA_whole sample_custom library = folder containing the whole sample TIMA phase map after using the custom library.
• UHP32_TIMA-AMICS comparison_Figure 9 crop = folder containing the comparison image stacks between the AMICS and TIMA experiments in SEM backscattered electrong (BSE) imaging mode.

The sub-folder structure is (depth 2):

F:\Zenodo_Kamber et al. 2025\UHP32_AMICS Data_re-stitched
F:\Zenodo_Kamber et al. 2025\UHP32_AMICS Data_auto-stitched
F:\Zenodo_Kamber et al. 2025\UHP32_TIMA_whole sample_custom library
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Digital Geology and Lithology maps of the Strangways Range Region in the eastern Arunta Region of the Northern Territory have been produced from a scanned image of the first edition map published by the Bureau of Mineral Resources in 1984. The image was digitised using Microstation and ArcInfo software, and attributed to meet standards for Version 2004.01 of the Geoscience Australia Digital Data Dictionary for GIS Produces as closely as possible. The finished product has been provided as ArcView shape files and ArcInfo export files on CD-ROM. Extensive internal quality assurance and quality control processes have been used to verify the data.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This dataset is a complete state-wide digital land use map of Queensland. The dataset is a product of the Queensland Land Use Mapping Program (QLUMP) and was produced by the Queensland Government. It presents the most current mapping of land use features for Queensland, including the land use mapping products from 1999, 2006 and 2009, in a single feature layer. This dataset was last updated July 2012. See additional information also.

Purpose

Indicates the current primary use or management objective of the land.

Dataset History

Source DataQueensland Government - Land use mapping (1999); Landsat TM and ETM imagery; Spot5 imagery; High resolution ortho photography through the Spatial Imagery Subscription Plan (SISP); Queensland Digital Cadastral Database (DCDB) (2009), Queensland Valuation and Sales Database (QVAS) (2009); Queensland Nature Refuges (2009); Queensland Estates (2009); Queensland Herbarium's Regional Ecosystem, Water Body and Wetlands datasets (2009); Statewide Landcover & Trees Study (SLATS) Queensland Dams and Waterbodies (2009) and land cover change data; scanned aerial photography (1999-2009).Additional verbal & written information on land uses & their locations was obtained from regional Queensland Government officers, Local Government Authorities, land owners & managers, private industry as well as from field observations & checking.Data captureA range of existing digital datasets containing land use information was collated from the Queensland Government spatial data inventory and prepared for use in a GIS using ArcGIS and ERDAS Imagine software.Processing steps To compile the 1999 baseline mapping, datasets containing baseline land cover (supplied by SLATS), Protected Areas, State Forest and Timber Reserves, plantations, coastal wetlands, reserves (from DCDB) and logged forests were interpreted in a spatial model to produce a preliminary land use raster image.The model incorporated a decision matrix which assigned each pixel a specific land use class according to a set of pre-determined rules.Individual catchments were clipped from the model output and enhanced with additional land use information interpreted primarily from Landsat TM and ETM imagery as well as scanned and hardcopy aerial photography (where available). The DCDB and other datasets containing land use information were used to help identify property and land use type boundaries. This process produced a draft land use raster.Verification of the draft land use dataset, particularly those with significant areas of intensive land uses, was undertaken by comparing mapped land use classes with observed land use classes in the field where possible. The final raster image was converted to a vector coverage in ARC/Info and GIS editing performed.The existing 1999 baseline (or later where available) land use dataset (vector) formed the basis for the 2006 and 2009 land use mapping. The 2006 & 2009 datasets were then updated primarily by interpretation of SPOT5 imagery, high-res orthophotography, scanned aerial photography and inclusion of expert local knowledge. This was performed in an ESRI ArcSDE geodatabase replication infrastructure, across some nine regional offices. The DCDB, QVAS, Estates, Queensland Herbarium wetlands and SLATS land cover change and waterbody datasets were used to assist in identification and delineation of property and land use type boundaries. Digitised areas of uniform land use type were assigned to land use classes according to ALUMC Version 7 (May 2010).This "current" land use mapping product presents a complete state-wide land use map of Queensland, after collating the most current land use datasets within a single mapping layer.An independent validation was undertaken to assess thematic (attribute) accuracy under the ALUM classification. Please refer to the orignal source data for the validation results.

Dataset Citation

Queensland Department of Science, Information Technology, Innovation and the Arts (2013) Bioregional_Assessment_Programme_Land use mapping - Queensland current. Bioregional Assessment Source Dataset. Viewed 21 December 2017, http://data.bioregionalassessments.gov.au/dataset/740d257f-b622-49c2-9745-be283239add3.

Igneous rocks have long been recognised as an important source of metals in uranium mineral systems. Although magmas may form mineral deposits in their own right, they may also contribute directly to basin-related mineral systems as a source of metals and/or ligands. Thus, mapping of the distribution of uranium in igneous rocks has the potential to highlight potentially prospective regions for uranium mineralisation at a macro-scale.

Map 3 in the series of three maps of the uranium content of Australian igneous rocks shows the interpreted solid geology distribution of igneous rocks. Since no nationally seamless solid geology map yet exists, datasets have been compiled from a variety of State and Territory open file sources. Polygons are coloured by their average uranium content. The average uranium content of each polygon was calculated by plotting the igneous polygons together with geochemical sample points (distribution shown in Map 1 of the series) using ArcGIS software. Each polygon was then attributed with the average uranium value (in ppm) of all intersecting geochemical sample points.

This approach allows igneous uranium content to be assessed on the pluton- to province-scale, depending on polygon resolution. Furthermore, the use of solid geology datasets allows for the uranium content of igneous rocks in the subsurface to be assessed, opening up broader areas for new potential uranium mineral systems. Together with the two other maps in the series, this map demonstrates the close spatial relationship between uranium-rich igneous rocks and areas of known uranium mineralisation. In addition, new regions previously unknown for uranium mineralisation can be identified.

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 …Show full descriptionAUSGeoid98 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.