Critical Minerals in Ores - Web Feature ServiceThis web service delivers datasets produced by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data in this service includes geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, and mineral prospectivity models for clastic-dominated (Zn, Pb) and Mississippi Valley-type (Zn-Pb) deposits across Canada, the United States, and Australia. PLEASE NOTE: The attribute names in this service have been modified. This may break applications and other clients with dependencies on the service. For further information please contact Geoscience Australia Client Services at clientservices@ga.gov.au.Critical MineralsGeochemistryMineral DepositOresWFSWeb ServiceMineral Prospectivity ModelWFS2.0.0NONE© CC-BY Geoscience Australia, Geological Survey of Canada, United States Geological Survey. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcodeGeoscience AustraliaClient Services+61 2 6249 9111+61 2 6249 9999CanberraACT2601Australiaclientservices@ga.gov.au1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/flatgeobufapplication/geo+jsonapplication/geopackage+sqlite3application/jsonapplication/ld+jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlapplication/vnd.ogc.fg+jsonapplication/x-gpkgcsvexcelexcel2007geopackagegeopkggml3gml32gpkgjsontext/csvtext/htmltext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionTRUEFALSEFALSETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQuerycmmi:CD_prospectivity_modelGradient boosting machines (GBM) prospectivity model results for clastic-dominated (Zn, Pb) deposits across Canada, the United States, and Australia. Model results were filtered to remove the bottom 90% of prospectivity values for visualization purposes. The remaining prospectivity values (i.e., top 10%) are colour coded using the Fisher-Jenks algorithm. The full description of the modelling method is freely available from: Lawley, C.J.M., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J., San Juan, C.A., and Gadd, M.G., 2022. Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials, Ore Geology Reviews, v. 141, 104635, https://doi.org/10.1016/j.oregeorev.2021.104635 The spatially indexed geological and geophysical datasets used to generate prospectivity models are freely available from: Lawley, C.J.M, McCafferty, A.E., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Paradis, S., Peter, J.M., and Czarnota, K., 2021. Geological Survey of Canada, Open File 8836, 11 pages, https://doi.org/10.4095/329203clastic-dominated (Zn, Pb) depositsprospectivity modelCanadaAustraliaUnited States of Americaurn:ogc:def:crs:EPSG::4326-171.8765018513044 -43.5773982734053179.7736360475321 83.10932849721581cmmi:CriticalMineralDepositsGeochemistryThis layer delivers geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, compiled by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data was compiled from a number of publicly-available sources, including federal and provincial government mineral deposit and geochemistry databases, and the ore samples normalised to average crustal abundance (OSNACA) database compiled by the Centre for Exploration Targeting at the University of Western Australia. Geochemical data cover the majority of the periodic table, with metadata on analytical methods and detection limits. Where available, sample descriptions include lithology, mineralogy, and host stratigraphic units. Mineral deposits are classified according to the CMMI mineral deposit classification scheme (Hofstra et al., 2021). Location information includes deposit or prospect name, and sampling location (i.e., mine, field site, or borehole collar). This dataset will be updated periodically as more data become available. Geoscience Australia: D Champion, O Raymond, D Huston, M Sexton, E Bastrakov, S van der Wielen, G Butcher, S Hawkins, J Lane, K Czarnota, I Schroder, S McAlpine, A Britt Geological Survey of Canada: K Lauzière, C Lawley, M Gadd, J-L Pilote, A Haji Egeh, F Létourneau United States Geological Survey: M Granitto, A Hofstra, D Kreiner, P Emsbo, K Kelley, B Wang, G Case, G Graham Geological Survey of Queensland: V Lisitsin PLEASE NOTE: The attribute names in this layer have been modified. This may break applications and other clients with dependencies on the service. For further information please contact Geoscience Australia Client Services at clientservices@ga.gov.au.depositsmineralsgeochemistrycritical mineralsCanadaAustraliaUnited States of Americaurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0cmmi:MVT_prospectivity_modelGradient boosting machines (GBM) prospectivity model results for Mississippi Valley-type (Zn, Pb) deposits across Canada, the United States, and Australia. Model results were filtered to remove the bottom 90% of prospectivity values for visualization purposes. The remaining prospectivity values (i.e., top 10%) are colour coded using the Fisher-Jenks algorithm. The full description of the modelling method is freely available from: Lawley, C.J.M., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J., San Juan, C.A., and Gadd, M.G., 2022. Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials, Ore Geology Reviews, v. 141, 104635, https://doi.org/10.1016/j.oregeorev.2021.104635 The spatially indexed geological and geophysical datasets used to generate prospectivity models are freely available from: Lawley, C.J.M, McCafferty, A.E., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Paradis, S., Peter, J.M., and Czarnota, K., 2021. Geological Survey of Canada, Open File 8836, 11 pages, https://doi.org/10.4095/329203Mississippi Valley-type (Zn-Pb)prospectivity modelCanadaAustraliaUnited States of Americaurn:ogc:def:crs:EPSG::4326-171.0883295702109 -43.5773982734053153.3272980415374 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