WMS The Mineral Potential WMS provides access to digital datasets used in the assessment of mineral potential in Australia. The service includes maps showing the potential for sediment-hosted base metal mineral systems, carbonatite-related rare earth element mineral systems and iron oxide copper-gold (IOCG) mineral systems in Australia. Mineral potential Mineral systems Sediment-hosted base metal Exploring for the Future EFTF WMS Carbonatite-related Rare Earth Element CREE Iron oxide copper-gold IOCG Client Services Geoscience Australia Postal

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Canberra ACT 2601 Australia 262499111 clientservices@ga.gov.au none © Commonwealth of Australia (Geoscience Australia) 2024. This product is released under the Creative Commons Attribution 4.0 International Licence text/xml image/png application/atom+xml application/geopackage+sqlite3 application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON The Mineral Potential WMS provides access to digital datasets used in the assessment of mineral potential in Australia. The service includes maps showing the potential for sediment-hosted base metal mineral systems, carbonatite-related rare earth element mineral systems and iron oxide copper-gold (IOCG) mineral systems in Australia. EPSG:7845 EPSG:7844 EPSG:4283 EPSG:4326 EPSG:3857 EPSG:20248 EPSG:20249 EPSG:20250 EPSG:20251 EPSG:20252 EPSG:20253 EPSG:20254 EPSG:20255 EPSG:20256 EPSG:20257 EPSG:20258 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3110 EPSG:3111 EPSG:3112 CRS:84 86.95309384819791 178.06218418705615 -90.0 -2.347649539451017 Maps showing the potential for carbonatite-related rare earth element (CREE) mineral systems in Australia. These maps are a synthesis of three component layers: sources of metals, energy drivers, and lithospheric architecture that are focused on mapping mineral potential at depth. The maps are integrated using a hybrid statistical and knowledge-driven approach to produce the final mineral potential map for the mineral system. More information on the CREE mineral potential maps and assessment criteria are available at https://pid.geoscience.gov.au/dataset/ga/147865. Mineral potential carbonatite rare earth elements EPSG:7845 86.95309384819791 178.06218418705615 -48.9569541270246 -2.347649539451017 text/html mp:MPM_CREE_Model1 Map showing the potential for carbonatite-related rare earth element (CREE) mineral systems in Australia. This map is a synthesis of three component layers: sources of metals, energy drivers, and lithospheric architecture that are focused on mapping mineral potential at depth. The maps are integrated using a hybrid statistical and knowledge-driven approach to produce the final mineral potential map for the mineral system. This web map service provides online access to the CREE mineral potential maps documented in extended abstract Bryant, C., Beyer, E., Buddee, M., Champion, D., Highet, L., Brown, C., Bonnardot, M., Ford, A. Alkaline Rocks Atlas. Supporting assessment of critical mineral potential in Australia. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/147963. The web map service renders the maps using a spectral colour ramp applied to an equalised histogram stretch. 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. mineral potential carbonatite rare earth elements EPSG:7845 CRS:84 105.63454049034998 160.4948326568224 -44.91030247060422 -8.342994589354575 text/html text/html mp:MPM_CREE_Model2 Map showing the potential for carbonatite-related rare earth element mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore deposition, and includes surficial datasets for the ore deposition component. The maps are integrated using a hybrid statistical and knowledge-driven approach to produce the final mineral potential map for the mineral system. This web map service provides online access to the CREE mineral potential maps documented in extended abstract Bryant, C., Beyer, E., Buddee, M., Champion, D., Highet, L., Brown, C., Bonnardot, M., Ford, A. Alkaline Rocks Atlas. Supporting assessment of critical mineral potential in Australia. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/147963. The web map service renders the maps using a spectral colour ramp applied to an equalised histogram stretch. Map images provided in the extended abstract have the same colour ramp and equalised histogram stretch, plus a gamma correction of 0.5 using Esri ArcGIS Pro software, not present in the web map service maps. mineral potential carbonatite rare earth elements EPSG:7845 CRS:84 105.63454049034998 160.4948326568224 -44.91030247060422 -8.342994589354575 text/html text/html This layer group contains input maps used to generate mineral potential maps showing the potential for Carbonatite-Related Rare Earth Element (CREE) mineral systems in Australia. More information on the mineral potential maps and assessment criteria are available at https://pid.geoscience.gov.au/dataset/ga/147865. Mineral Potential CREE carbonatite rare earth elements Input Maps EFTF - Exploring For The Future EPSG:7852 129.0 129.0 -90.0 -90.0 text/html mp:CREE_D1 A map showing the proximity to provinces with completed or near-complete rifting (162 km buffer). Complete or near-complete rifts would allow the transport of the carbonatite melts to the upper crust. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_D2 A map showing the proximity to large igneous province margins (108 km buffer). Large igneous provinces are a proxy for mantle plume activity. Margins of large igneous provinces are more favourable than the centre due to the margins being more permissive of the lower degree partial melting required for carbonatite formation. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P1 A map showing the proximity to major crustal boundaries (52 km buffer). Carbonatite melts need transporting from the mantle to upper crust. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P2a A map showing the proximity to crustal discontinuities derived from 70-100 km upward continued gravity worms (13 km buffer). Deep gravity worms may represent major crustal structures for transporting carbonatite melts. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P2b A map showing the proximity to crustal discontinuities derived from magnetic worms (20 km buffer). Deep magnetic worms may represent major crustal structures for transporting carbonatite melts. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P3 A map showing the proximity to convergent margins (317 km buffer). Convergent margins may represent a favourable tectonic setting for the transport of the melt from the mantle to the upper crust. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P4 A map showing the presence of thick lithosphere. Lithosphere-asthenosphere boundary models provide an indication of lithospheric thickness. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P5a A map showing the proximity to craton edges (225 km buffer). Craton edges may reflect optimal conditions for extraction of carbonatite melts along significant boundaries in lithosphere between cratonic and non-cratonic lithosphere. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P5b A map showing the presence of Archean and Proterozoic cratons and orogens. Regions of Archean and Proterozoic crust that overlie areas of metasomatised mantle are known to produce carbon-rich melts. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_P5c A map showing the presence of old basement rocks derived from samarium–neodymium isotopes (Sm-Nd model age greater than 1930 Ma). Regions of Archean and Proterozoic crust that overlie areas of metasomatised mantle are known to produce carbon-rich melts. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S1 A map showing the presence of mantle metasomatism derived from magnesium number. Magnesium Number (Mg# = MgO/[MgO+FeO]) is a proxy for mantle metasomatism. During melt extraction, the Magnesium Number of the residue increases with the degree of melting and is indicative of whether mantle peridotite composition has been modified by metasomatism. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S2a A map showing the presence of sub-continental lithospheric mantle derived from global seismic velocity models at a depth of 150 km. Sub-continental lithospheric mantle is an indication of deep lithospheric architecture. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S2b A map showing the presence of sub-continental lithospheric mantle derived from AuSREM mantle model (horizontal gradient of Vsv). Sub-continental lithospheric mantle is an indication of deep lithospheric architecture. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S2c A map showing the presence of sub-continental lithospheric mantle derived from magnetotellurics conductivity models and 250 km depth. Sub-continental lithospheric mantle is an indication of deep lithospheric architecture. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S3b A map showing high de-trended global isostatic residual gravity circular anomalies. Carbonatites are observed as gravity highs. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S3c A map showing high reduced to pole magnetic circular anomalies. Carbonatites are observed as magnetic reduced to pole highs. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_S4 A map showing the presence of alkaline silicate rocks (e.g. melilitolites, ijolites, alkali gabbros, feldspathoid syenites, syenites, kimberlites, and lamprophyres and volcanic equivalents). The presence of other alkaline and peralkaline rocks is indicative of magma fertility. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_T1a A map showing high light rare earth element to heavy rare earth element ratio (LREE/HREE ratio > 3.84) in the national geochemical survey of Australia dataset. Carbonatites are typically light rare earth element enriched compared to heavy rare earth element enrich. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:CREE_T1b A map showing rare earth element geochemistry anomalies (rare earth concentrations greater than 117 ppm) in the national geochemical survey of Australia dataset. Catchments with elevated rare earth element concentrations may contain a rare earth element enriched carbonatite. The map is an input dataset for carbonatite hosted rare earth element mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential CREE carbonatite rare earth elements Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html This layer group provides access to datasets generated by the North Australian Craton (NAC) Iron Oxide Copper Gold (IOCG) Mineral Potential Assessment. Two outputs were created: a comprehensive assessment, using all available spatial data, limiting data where possible to capture mineral systems older than 1500 ma, and; a coverage assessment, which is constrained to data that have no reliance on outcrop or age of mineralisation. EPSG:4283 122.09124151468801 144.34783253619113 -25.042031829776978 -9.142394417324095 text/html nac:nac-iocg-min-pot-assment_comprehensive Modelled iron-oxide-copper-gold (IOCG) mineral potential in the North Australian Craton (NAC) region comprising a comprehensive assessment using all available datasets, and capturing mineral systems active at ages greater than 1500 million years. North Australia Craton IOCG Mineral Potential Comprehensive Assessment Output Dataset EPSG:4283 CRS:84 122.091241514688 144.3478325361911 -25.04203182977698 -9.142394417324095 text/html nac:nac-iocg-min-pot-assment_coverage Modelled iron-oxide-copper-gold (IOCG) mineral potential in the North Australian Craton (NAC) region comprising a coverage assessment using only datasets with a uniform spatial coverage. North Australia Craton IOCG Mineral Potential Coverage Assessment Output Dataset EPSG:4283 CRS:84 122.091241514688 144.3478325361911 -25.04203182977698 -9.142394417324095 text/html Maps showing the potential for sediment-hosted base metal mineral systems in Australia. These maps are a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. More information on the sediment-hosted base metal mineral potential maps and assessment criteria are available at https://pid.geoscience.gov.au/dataset/ga/147425. Sediment-hosted base metal Mineral systems Mineral potential EPSG:7845 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:Irish_MPM1 Map showing the potential for Irish-Type Zn-Pb (Irish) mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. Mineral potential Irish-Type Zn-Pb EPSG:7845 CRS:84 109.19559396664313 156.95193987847105 -44.11040122785293 -8.990065180108303 text/html mp:MPM_CDSC7 Map showing the potential for Clastic-Dominated Siliciclastic Carbonate Zn-Pb (CDSC) mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. Mineral potential Clastic-Dominated Siliciclastic Carbonate Zn-Pb EPSG:7845 CRS:84 109.19559396664313 156.95193987847105 -44.11040122785293 -8.990065180108303 text/html mp:MPM_CDSM8 Map showing the potential for Clastic-Dominated Siliciclastic Mafic Zn-Pb (CDSM) mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. Mineral potential Clastic-Dominated Siliciclastic Mafic Zn-Pb EPSG:7845 CRS:84 109.19559396664313 156.95193987847105 -44.11040122785293 -8.990065180108303 text/html mp:MVT_MPM1 Map showing the potential for Mississippi Valley-Type Zn-Pb (MVT) mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. Mineral potential Mississippi Valley-Type Zn-Pb EPSG:7845 CRS:84 109.19559396664313 156.95193987847105 -44.11040122785293 -8.990065180108303 text/html mp:SedCu_MPM_Model1 Map showing the potential for sediment-hosted copper mineral systems in Australia (incorporating sediment-hosted stratiform copper and Mount Isa-type copper systems). This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore depositional gradients. The maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. mineral potential sediment-hosted copper Cu EPSG:7845 CRS:84 109.19448027485979 156.95304563545915 -44.111096609249806 -8.98927319211653 text/html mp:SedCu_MPM_Model2 Map showing the potential for sediment-hosted copper mineral systems in Australia (incorporating sediment-hosted stratiform copper and Mount Isa-type copper systems). This map is a synthesis of three component layers: sources of metals, energy drivers and lithospheric architecture, but excludes maps derived from geological datasets with incomplete coverage or inconsistent attribution. The maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. mineral potential sediment-hosted copper Cu EPSG:7845 CRS:84 109.19448027485979 156.95304563545915 -44.111096609249806 -8.98927319211653 text/html mp:SedCu_MPM_Model3 Map showing the potential for sediment-hosted copper mineral systems in Australia (incorporating sediment-hosted stratiform copper and Mount Isa-type copper systems). This map is derived from just one mineral system component layer, lithospheric architecture, and excludes any maps that do not have complete or near-complete national coverage. The input maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. mineral potential sediment-hosted copper Cu EPSG:7845 CRS:84 109.19448027485979 156.95304563545915 -44.111096609249806 -8.98927319211653 text/html This layer group contains input maps used to generate mineral potential maps showing the potential for sediment hosted Cu mineral systems in Australia. More information on the mineral potential maps and assessment criteria are available at https://pid.geoscience.gov.au/dataset/ga/147425. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7852 129.0 129.0 -90.0 -90.0 text/html mp:SedCu_D1 A map showing the thickness of units within basin. Compaction may play a critical role for fluid flow in basins. Compaction decreases the porosity in a basin and increases the chance of fluid movement and/or expulsion. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_D2 A map showing the presence of salt domes within basins. Salt domes are impermeable and can focus fluid. They also crosscut many of the sedimentary units which can induce upward fluid migration which results in an increased chance of encountering a reduced lithology. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_D3 A map showing the presence of failed rifts. A failed rift is the primary setting for sediment hosted copper mineral systems. Rifts that develop to drift or passive margins are seen as less favourable as they have a lower capability of retaining brines. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_D4a A map showing the distribution of basin inversions that has caused brittle deformation. Brittle deformation increases the chances for economic deposits as it can drive fluid flow within the basin. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_D4b A map showing the distribution of basin inversions that has caused ductile deformation. Ductile deformation may redistribute or concentrate sulphides. It should be noted that sulphide ductile deformation windows are different from silicate ductile deformation. Sulphides deforms ductily at much lower temperature and pressure than silicates (except pyrite). The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P1 A map showing the presence of aquifers within basins. Presence of aquifers within the basin is critical for storing and moving the copper bearing brines. They also need to be connected to allow fluid flow to the site of deposition. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P2 A map showing the presence of and proximity to major crustal boundaries. Major crustal boundaries can be major fluids pathways. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P3a A map showing the presence of red sandstone overlain by organic rich shale. Red sandstone overlain by organic rich shale is the main sedimentary sequence architecture for sediment-hosted copper mineral systems. Oxidised sediments overlain by reduced sediments provide a strong redox gradient. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P3b A map showing the presence of carbonaceous sediments. Carbonaceous sediments are the main host of Mount Isa-type copper mineral systems. Their reduced nature provides a strong redox gradient. However, some deposits such as Esperanza are hosted in sandstone. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P3c A map showing the proximity of carbonaceous sediments to mafic rocks. Carbonaceous sediments in stratigraphic or structural contact with mafic rocks have been observed at the Mount Isa Cu deposit. However, this relationship is not observed in every Mount Isa type copper mineral systems. For example, Lady Annie is not associated with mafic basement. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P4a A map showing the presence of cratonic edges interpreted from the lithosphere-asthenosphere boundary. The 170 km contour of the lithosphere-asthenosphere boundary is associated with world-class sediment-hosted deposits. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P4b A map showing the presence of cratonic edges interpreted from lead isotope data. Deposits are spatially located near areas that record variation in µ. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P4c A map showing the presence of cratonic edges interpreted from gravity data. Gradients in gravity highlights the edges and geometry of contrasting density intensity sources. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P4d A map showing the presence of cratonic edges interpreted from electrical conductivity magnetotelluric models at a depth of 25 kilometres. Conductive areas are spatially associated with the location of sediment-hosted copper mineral systems. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_P5 A map showing the presence of basin margins. Basin margins are favourable for deposition of copper due to the wedging effect where oxidised fluids might be in contact with reduced unit(s).The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S1a A map showing the presence of mafic sediment and volcanic source rocks. Mafic rocks are more favourable for higher concentrations of copper. The map is an input dataset for sediment-hosted Copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S1b A map showing the presence of intermediate sediment and volcanic source rocks. Intermediate rocks may be a source of copper. However, they are not as prospective as mafic rocks. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S1c A map showing the presence of ultramafic and mafic source rocks. Cobalt is enriched in ultramafic and mafic rocks. Ultramafic rocks are relatively more abundant in Cobalt than mafic rocks. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S2a A map showing the distribution of hydrothermal fluid where the fluid reached a maximum temperature between 75 and 200 degrees Celsius. Moderate temperature for the hydrothermal fluid is favourable for copper transport. Literature review for sediment-hosted copper mineral reveals maximum temperature is generally less than 120 degrees Celsius. However, temperature up to 400 degrees Celsius has been observed in the Central African Copperbelt. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S2b A map showing the distribution of hydrothermal fluid where the fluid reached a maximum temperature between 200 and 400 degrees Celsius. Moderate to high temperature for the hydrothermal fluid is favourable for copper transport. Literature review for Mount Isa-type mineral systems reveals maximum temperature between 250-400 degrees Celsius. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S2c A map showing the maximum burial depth of sediments. Maximum thickness of sediments may be a proxy for temperature attained in a basin and whether sections of the basin reached the copper leaching window. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S3a A map showing the presence of marine incursions. Copper is transported as a Cl- complex. Brines derived from evaporated seawater are the preferred type of fluid for sedimentary-hosted copper systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S3b A map showing the presence of evaporites. Evaporites are a proxy for the possible presence of a brine in a basin. Basins with highest contained copper have abundant evaporites. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S3c A map showing basins that formed at low paleolatitude (e.g. latitudes between 5 to 30 degrees). Low paleolatitude at the time of basin formation enhances the probability of brine formation. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S4 A map showing the presence of oxidised fluids relative to sulphur (e.g. copper window, hematite stable). Oxidised fluids are required to transport copper in near neutral environments. These conditions were uncommon prior to Earth until the great oxidation event near 2.2 Ga. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S5a A map showing the presence of calcium type ocean chemistry. Ocean type has been hypothesised to be related to favourable periods of sediment-hosted copper deposits wherein Sulphate (SO4) oceans are associated with major period of sediment-hosted copper mineral system formation (Central African Copperbelt and Kupferschiefer). Calium oceans are associated with lesser copper accumulation and with native copper/chalcocite deposits. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_S5b A map showing the presence of sulphate type ocean chemistry. Ocean type has been hypothesised to be related to favourable periods of sediment-hosted copper deposits wherein Sulphate (SO4) oceans are associated with major period of sediment-hosted copper mineral system formation (Central African Copperbelt and Kupferschiefer). Calium oceans are associated with lesser copper accumulation and with native copper/chalcocite deposits. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_T1a A map showing the presence of mudstone, siltstone, and metamorphosed equivalent host rocks. Sediment-hosted copper and Mount Isa-type copper mineral systems are hosted in mudstone and siltstone, and their metamorphic equivalents. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_T1b A map showing the presence of sulphides in the host rocks. Sulphides in host rock can destabilise copper complexes and precipitate copper sulphides. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_T1c A map showing the presence of organic rich mudstone and siltstone in host rocks. Organic-rich mudstone and siltstone are the primary host of sulphide mineralisation in Sediment-hosted copper systems. Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_T1d A map showing the presence of calcareous shales. Calcareous shales are the primary host of sulphide mineralisation in Mount Isa-type copper systems. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedCu_T2 A map showing the presence of petroleum systems within basins. Petroleum product such as pyrobitumen has been observed in some sediment-hosted copper and Mount Isa-type copper mineral systems. The map is an input dataset for sediment-hosted copper mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Cu Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html This layer group contains input maps used to generate mineral potential maps showing the potential for sediment hosted Zn-Pb mineral systems in Australia. More information on the mineral potential maps and assessment criteria are available at https://pid.geoscience.gov.au/dataset/ga/147425. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7852 129.0 129.0 -90.0 -90.0 text/html mp:SedZnPb_D1ab A map showing basins where rift-drift, failed rifts, rifted continental margins, or early rifts have been identified. An early rift is the main tectonic setting for Irish-type lead-zinc mineral systems. Rift-drift is the main tectonic setting for clastic dominated lead-zinc mineral systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_D1c A map showing interpreted foreland basins. The foreland of orogenic belts is the main tectonic setting of Mississippi-Valley type (MVT) lead-zinc mineral systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_D2a A map showing the distribution of basin inversions that has caused brittle deformation. Brittle deformation increases the chances for economic deposits as it can drive fluid flow in the basin. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_D2b A map showing the distribution of basin inversions that has caused ductile deformation. Ductile deformation may redistribute or concentrate sulphides. It should be noted that sulphide ductile deformation windows are different from silicate ductile deformation. Sulphides deforms ductily at much lower temperature and pressure than silicates (except pyrite). The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map energy sources and fluid-flow drivers. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P1 A map showing the presence of aquifers within basins. Presence of aquifers within the basin is critical for storing and moving the zin-lead bearing brines. They also need to be connected to allow fluid flow to the site of deposition. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P2 A map showing the presence of and proximity to major crustal boundaries. Major crustal boundaries can be major fluids pathways. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P3a A map showing the presence of red sandstones overlain by reduced shales. In clastic-dominated siliciclastic carbonate zinc-lead mineral systems oxidised sediments overlain by reduced sediments provide the best redox gradient and are associated with higher prospectivity. Carbonates can also host the mineralisation but are not as important as shale. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P3b A map showing the presence of sedimentary sequences dominated by reduced silts and fine sands. In clastic-dominated siliciclastic mafic zinc-Lead mineral systems regions dominated by reduced sediments are associated with higher prospectivity. Carbonates can also host the mineralisation but are not as important as shale. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P3c A map showing the presence of sedimentary sequences dominated by carbonate. In Mississippi-Valley type (MVT) lead-zinc mineral systems regions with thick carbonate sequences are associated with higher prospectivity. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P3d A map showing the distribution of carbonate rocks overlayed by red sandstones. In Mississippi-Valley type (MVT) and Irish-type lead-zinc mineral systems Sandstone (aquifer) overlain by carbonate (trap) are the main geological setting observed. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P3e A map showing the presence of pre-mineralisation karsification of carbonate. Pre-mineralisation karsification of the carbonate during the early stage of an orogeny (in the forebulge) is common in most Mississippi-Valley type (MVT) mineral provinces. Karsts are viewed as ground preparation that will allow metal-bearing fluids to percolate through. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P4a A map showing the presence of cratonic edges interpreted from the lithosphere-asthenosphere boundary. The 170 km contour of the lithosphere-asthenosphere boundary is associated with world-class sediment-hosted deposits. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P4b A map showing the presence of cratonic edges interpreted from lead isotope data. Deposits are spatially located near areas that record variation in µ. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P4c A map showing the presence of cratonic edges interpreted from gravity data. Gradients in gravity highlights the edges and geometry of contrasting density intensity sources. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P4d1 A map showing the presence of cratonic edges interpreted from electrical conductivity magnetotelluric models at a depth of 25 kilometres. Conductive areas are spatially associated with the location of sediment-hosted zinc-lead mineral systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P4d2 A map showing the presence of cratonic edges interpreted from electrical conductivity magnetotelluric models at a depth of 72 kilometres. Conductive areas are spatially associated with the location of sediment-hosted zinc-lead mineral systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_P5 A map showing the presence of basin margins. Basin margins are favourable for focussing fluids into overlying unit(s). The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map fluid-flow pathways and architecture. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S1a A map showing the presence of mafic sediment and volcanic source rocks. Zinc is more abundant in mafic rocks with a slight decrease for intermediate and has lowest concentration in felsic rocks. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S1b A map showing the presence of intermediate sediment and volcanic source rocks. Zinc is more abundant in mafic rocks with a slight decrease for intermediate and has lowest concentration in felsic rocks. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S1c A map showing the presence of felsic sediment and volcanic source rocks. Zinc is more abundant in mafic rocks with a slight decrease for intermediate and has lowest concentration in felsic rocks. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S2a A map showing the presence of mafic sediment and volcanic source rocks. Lead is more abundant in felsic rocks and its concentration decreases with increasing maficity. Highly alkaline rocks (phonotephrite, tephiphonolite and phonolite) contain the highest average concentration of lead. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S2b A map showing the presence of intermediate sediment and volcanic source rocks. Lead is more abundant in felsic rocks and its concentration decreases with increasing maficity. Highly alkaline rocks (phonotephrite, tephiphonolite and phonolite) contain the highest average concentration of lead. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S2c A map showing the presence of felsic sediments and volcanics in the source rocks. Lead is more abundant in felsic rocks and its concentration decreases with increasing maficity. Highly alkaline rocks (phonotephrite, tephiphonolite and phonolite) contain the highest average concentration of lead. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S3a A map showing the distribution of hydrothermal fluid where the fluid reached a maximum temperature between 75 and 175 degrees Celsius. Heat may be provided by nearby pre- to syn-mineralisation intrusion. In siliciclastic-carbonate lead-zinc mineral systems the maximum temperature of the hydrothermal fluid is 150 degrees Celsius based on the presence of siderite and the absence of physical evidence of boiling. In Mississippi-Valley type (MVT) lead-zinc mineral systems fluid inclusion studies suggest relatively low hydrothermal fluid temperature between 60-160 degrees Celsius. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S3b A map showing the distribution of hydrothermal fluid where the fluid reached a maximum temperature between 175 and 300 degrees Celsius. Heat may be provided by nearby pre- to syn-mineralisation intrusion. In siliciclastic-mafic lead-zinc mineral systems the maximum temperature of the hydrothermal fluid is 250 degrees Celsius. In Irish-type lead-zinc mineral systems fluid inclusion studies suggest relatively low hydrothermal fluid temperature between 70-280 degrees Celsius. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S4a A map showing the presence of marine incursions. Zinc and lead are transported as a Cl- complex. Brines are the preferred type of fluid for the sedimentary-hosted zinc-lead systems. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S4b A map showing basins that formed at low paleolatitude (e.g. latitudes between 5 to 30 degrees). Low paleolatitude at the time of basin formation enhances the probability of brine formation. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids, and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_S5 A map showing the presence of oxidised fluids relative to sulphur (e.g. zinc and lead window). Oxidised fluids are required to transport zinc and lead in near neutral environments. These conditions were uncommon prior to Earth until the great oxidation event near 2.2 Ga. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map sources of metals, fluids and ligands. Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_T1a A map showing the presence of mudstone, siltstone, and metamorphosed equivalent host rocks. Clastic-dominated systems are hosted in mudstone and siltstone, and their metamorphic equivalents. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_T1b A map showing the presence of sulphides in the host rocks. Sulphides in host rock can destabilise zinc-lead complexes and precipitate zinc-lead sulphides. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_T1c A map showing the presence of carbonate host rocks. Mississippi-Valley type (MVT) and Irish type lead-zinc minerals systems are hosted in carbonate rocks and their metamorphic equivalents. The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html mp:SedZnPb_T2 A map showing the presence of petroleum systems within basins. Petroleum product such as pyrobitumen has been observed in clastic-dominated siliciclastic carbonate and Mississippi-Valley type (MVT) zinc-lead mineral systems The map is an input dataset for sediment-hosted zinc-lead mineral potential assessment and was used to map ore depositional gradients (traps). Mineral Potential Sediment Hosted Zn-Pb Input Maps EPSG:7845 CRS:84 100.27745364039784 165.33911802473497 -45.85691521360778 -6.625403608032947 text/html This layer group provides access to datasets generated by the Tennant Creek – Mt Isa (TISA) Iron Oxide Copper Gold (IOCG) Mineral Potential Assessment. Two outputs were created: a comprehensive assessment, using all available spatial data; and a coverage assessment, which is constrained to data that have no reliance on outcrop. EPSG:4283 132.79457484819383 141.51540818166768 -21.691198491151066 -14.18536514884624 text/html tisa:tisa-iocg-min-pot-assment_coverage Modelled iron-oxide-copper-gold (IOCG) mineral potential in the Tennant Creek - Mount Isa (TISA) region comprising a coverage assessment using only datasets with a uniform spatial coverage. TISA IOCG Mineral Potential Coverage Assessment Output Dataset EPSG:4283 CRS:84 132.79457484819383 141.51540818166768 -21.69119847827445 -14.185365144820167 text/html tisa:tisa-iocg-min-pot-assment_comprehensive Modelled iron-oxide-copper-gold (IOCG) mineral potential in the Tennant Creek - Mount Isa (TISA) region comprising a comprehensive assessment using all available datasets. Limited to pre-1850 Ma geological features where possible. TISA IOCG Mineral Potential Comprehensive Assessment Output Dataset EPSG:4283 CRS:84 132.79457484819383 141.51540818166768 -21.69119847827445 -14.185365144820167 text/html Map showing the potential for unconformity-related rare earth element mineral systems in Australia. The maps are a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore deposition that are focused on mapping mineral potential at depth. The maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. The full data package including the input maps and assessment criteria table can be downloaded from https://dx.doi.org/10.26186/150681 mineral potential unconformity-related rare earth elements rare earth elements critical minerals EPSG:7845 100.26956826495683 165.35014567193403 -45.863462394224506 -6.616160989162947 text/html mp:MPM_URREE_AllInputs Map showing the potential for unconformity-related rare earth element mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore deposition that are focused on mapping mineral potential at depth. The maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. This model includes input maps that contain data coverage gaps. The full data package including the input maps, data coverage map, and assessment criteria table can be downloaded from https://dx.doi.org/10.26186/150681 mineral potential unconformity-related rare earth elements rare earth elements critical minerals EPSG:7845 CRS:84 100.26956826495683 165.35014567193403 -45.863462394224506 -6.616160989162947 text/html mp:MPM_URREE_FullCoverage Map showing the potential for unconformity-related rare earth element mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore deposition that are focused on mapping mineral potential at depth. The maps are integrated using a knowledge-driven approach to produce the final mineral potential map for the mineral system. This model only includes input maps that have full national data coverage. The full data package including the input maps and assessment criteria table can be downloaded from https://dx.doi.org/10.26186/150681 mineral potential unconformity-related rare earth elements rare earth elements critical minerals EPSG:7845 CRS:84 100.26956826495683 165.35014567193403 -45.863462394224506 -6.616160989162947 text/html mp:MPM_IOCG Map showing the potential for iron oxide copper-gold (IOCG) mineral systems in Australia. This map is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and ore deposition that are focused on mapping mineral potential at depth. The maps are integrated using a hybrid statistical and knowledge-driven approach to produce the final mineral potential map for the mineral system. This service provides online access to the IOCG mineral potential map documented in the extended abstract Cloutier, J. et al. First national mineral system assessment of Australia's iron oxide copper-gold potential. Geoscience Australia, Canberra. https://dx.doi.org/10.26186/149357 mineral potential iron oxide copper-gold IOCG EPSG:7845 CRS:84 100.26956826495683 165.35014567193403 -45.863462394224506 -6.616160989162947 text/html text/html