100+ datasets found
  1. d

    Mineral Resources Data System

    • search.dataone.org
    • data.wu.ac.at
    Updated Oct 29, 2016
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    U.S. Geological Survey (2016). Mineral Resources Data System [Dataset]. https://search.dataone.org/view/3e55bd49-a016-4172-ad78-7292618a08c2
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    U.S. Geological Survey
    Area covered
    Variables measured
    ORE, REF, ADMIN, MODEL, STATE, COUNTY, DEP_ID, GANGUE, MAS_ID, REGION, and 29 more
    Description

    Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

  2. g

    Morocco 1:1,000,000 Scale Geological and Mineral Resource Maps

    • shop.geospatial.com
    Updated Feb 27, 2019
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    (2019). Morocco 1:1,000,000 Scale Geological and Mineral Resource Maps [Dataset]. https://shop.geospatial.com/publication/92SRV7F8J4PH45PBKFSA3K07N0/Morocco-1-to-1000000-Scale-Geological-and-Mineral-Resource-Maps
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    Dataset updated
    Feb 27, 2019
    Area covered
    Morocco
    Description

    Spatial coverage index compiled by East View Geospatial of set "Morocco 1:1,000,000 Scale Geological and Mineral Resource Maps". Source data from SGM (publisher). Type: Geoscientific - Geology. Scale: 1:1,000,000. Region: Africa, Middle East.

  3. CGS Information Warehouse: Mineral Land Classification Maps (SMARA Study...

    • catalog.data.gov
    • data.cnra.ca.gov
    • +6more
    Updated Nov 27, 2024
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    California Department of Conservation (2024). CGS Information Warehouse: Mineral Land Classification Maps (SMARA Study Areas) [Dataset]. https://catalog.data.gov/dataset/cgs-information-warehouse-mineral-land-classification-maps-smara-study-areas-f7b4e
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Conservationhttp://www.conservation.ca.gov/
    Description

    Mineral Land Classification studies are produced by the State Geologist as specified by the Surface Mining and Reclamation Act (SMARA, PRC 2710 et seq.) of 1975. To address mineral resource conservation, SMARA mandated a two-phase process called classification-designation. Classification is carried out by the State Geologist and designation is a function of the State Mining and Geology Board. The classification studies contained here evaluate the mineral resources and present this information in the form of Mineral Resource Zones. The objective of the classification-designation process is to ensure, through appropriate local lead agency policies and procedures, that mineral materials will be available when needed and do not become inaccessible as a result of inadequate information during the land-use decision-making process.

  4. a

    Major Mineral Deposits

    • digital.atlas.gov.au
    Updated Sep 20, 2024
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    Digital Atlas of Australia (2024). Major Mineral Deposits [Dataset]. https://digital.atlas.gov.au/maps/0b7bc090b92b469cbef7bcb418d269b2
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    Dataset updated
    Sep 20, 2024
    Dataset authored and provided by
    Digital Atlas of Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Abstract This layer contains point locations of major mineral deposits, and includes the geological setting, the timing and type of mineralisation, global resource endowments, associated host and igneous rocks, alteration assemblages, and metamorphism, where known. The deposits were selected as they have substantial endowment (i.e. pre-mining mineral resource) and/or detailed geological information is available. For each deposit (or, in some cases, district) the dataset includes information on: 1. Name (including synonyms), location and GA identifying numbers; 2. Tectonic province that hosts the deposit; 3. Type(s) and age(s) of mineralising events that produced/affected the deposit (including metadata on ages); 4. The metal/mineral endowment of the deposit; 5. Host rocks to the deposit; 6. Spatially and/or temporally associated magmatic rocks; 7. Spatially and temporally associated alteration assemblages (mostly proximal, but, in some cases, regional assemblages); 8. The Fe-S-O minerals present in the deposit and relative abundances where known; 9. Sulfate minerals present; 10. Peak metamorphic grade; 11. Data sources; and 12. Comments. For many commodities, there are many hundreds or thousands of deposits and occurrences around Australia, with only a small fraction of these deposits/occurrences making a significant contribution to Australia’s mineral endowment. This dataset contains information about these deposits. In some cases, a number of small deposits have been grouped together into a district, but in other cases, small deposits have been ignored. However, where important information, such as the age of small deposits or occurrences are available, they have been included. This document presents more detailed descriptions of the metadata presented in the compilation. The dataset is presented in Appendix A. Appendix B presents a national classification of geological provinces based mostly on existing State survey classifications; Appendix C presents a deposit classification based on the classification proposed by Hofstra et al. (2021); and Appendix D presents mineral abbreviations used in the dataset. The Annexes are available here: Geological setting, age and endowment of major Australian mineral deposits - a compilation. Data Dictionary Australian Minerals Data - Mineral Deposits - Geological Setting, Age and Endowment

    Attribute Name Description

    DEPOSIT_ENO Deposit (ENO)

    DEPOSIT_PID Deposit Persistent ID (PID)

    DEPOSIT_NAME Preferred name of the mineral occurrence, prospect, or deposit as recorded on a map or other source reference.

    SYNONYMS Alternative names that may have been given to the occurrence/deposit

    LONGITUDE_GDA94 Longitude in GDA94

    LATITUDE_GDA94 Latitude in GDA94

    STATE State in Australia

    COMMODITIES The earth resource commodity (eg Cu, Au, Fe)

    OPERATING_STATUS Describes the current stage of development of the deposit, prospect, or mineral occurrence

    MINING_DISTRICT Mining District

    SUPERPROVINCE_ENO Superprovince ENO

    SUPERPROVINCE_NAME Superprovince name

    PROVINCE_ENO Province ENO

    PROVINCE_NAME Province name

    SUBPROVINCE_ENO Subprovince ENO

    SUBPROVINCE_NAME Subprovince name

    DEPOSIT_ENVIRONMENT Deposit environment

    DEPOSIT_GROUP Deposit group

    DEPOSIT_TYPE Deposit type

    FIRST_EVENTNO Event number

    FIRST_EVENT_NAME Event name

    FIRST_EVENT_TIMING Event timing

    FIRST_CONTRIBUTION Contribution

    FIRST_EVENT_DEPOSIT_ENVIRONMENT Event Deposit environment

    FIRST_EVENT_DEPOSIT_GROUP Event Deposit group

    FIRST_EVENT_DEPOSIT_TYPE Event Deposit type

    FIRST_AGE_MA Age (Ma)

    FIRST_AGE_ERROR Age error

    FIRST_AGE_TYPE Age type

    FIRST_AGE_BASIS Age basis

    FIRST_MINERAL_DATED Mineral dated

    FIRST_AGE_SYSTEM Age system

    FIRST_RADIOMETRIC_AGE_TYPE Radiometric Age type

    FIRST_AGE_INSTRUMENTATION Age instrumentation

    FIRST_AGE_CONFIDENCE Age confidence

    SECOND_EVENTNO Event number

    SECOND_EVENT_NAME Event name

    SECOND_EVENT_TIMING Event timing

    SECOND_CONTRIBUTION Contribution

    SECOND_EVENT_DEPOSIT_ENVIRONMENT Event Deposit environment

    SECOND_EVENT_DEPOSIT_GROUP Event Deposit group

    SECOND_EVENT_DEPOSIT_TYPE Event Deposit type

    SECOND_AGE_MA Age (Ma)

    SECOND_AGE_ERROR Age error

    SECOND_AGE_TYPE Age type

    SECOND_AGE_BASIS Age basis

    SECOND_MINERAL_DATED Mineral dated

    SECOND_AGE_SYSTEM Age system

    SECOND_RADIOMETRIC_AGE_TYPE Radiometric Age type

    SECOND_AGE_INSTRUMENTATION Age instrumentation

    SECOND_AGE_CONFIDENCE Age confidence

    THIRD_EVENTNO Event number

    THIRD_EVENT_NAME Event name

    THIRD_EVENT_TIMING Event timing

    THIRD_CONTRIBUTION Contribution

    THIRD_EVENT_DEPOSIT_ENVIRONMENT Event Deposit environment

    THIRD_EVENT_DEPOSIT_GROUP Event Deposit group

    THIRD_EVENT_DEPOSIT_TYPE Event Deposit type

    THIRD_AGE_MA Age (Ma)

    THIRD_AGE_ERROR Age error

    THIRD_AGE_TYPE Age type

    THIRD_AGE_BASIS Age Basis

    THIRD_MINERAL_DATED Mineral dated

    THIRD_AGE_SYSTEM Age system

    THIRD_RADIOMETRIC_AGE_TYPE Radiometric Age type

    THIRD_AGE_INSTRUMENTATION Age Instrumentation

    THIRD_AGE_CONFIDENCE Age confidence

    ENDOWMENT_TONNAGE_MT Tonnage (Mt)

    ENDOWMENT_BRINE_VOLUME_MM3 Brine volume (Mm3)

    CU_PERCENT Percentage of Copper

    ZN_PERCENT Percentage of Zinc

    PB_PERCENT Percentage of Lead

    AG_GRAMS_PER_TONNE Silver (Grams Per Tonne)

    AU_GRAMS_PER_TONNE Gold (Grams Per Tonne)

    BARITE_PERCENT Percentage of Barite

    SB_PERCENT Percentage of Antimony

    CD_PERCENT Percentage of Cadmium

    SN_PERCENT Percentage of Tin

    WO3_PERCENT Percentage of Tungsten Trioxide

    MO_PERCENT Percentage of Molybdenum

    RE_GRAMS_PER_TONNE Rhenium (Grams Per Tonne)

    IN_GRAMS_PER_TONNE Indium (Grams Per Tonne)

    F_PERCENT Percentage of Fluorine

    BI_PERCENT Percentage of Bismuth

    TA_GRAMS_PER_TONNE Tantalum (Grams Per Tonne)

    NB_PERCENT Percentage of Niobium

    LI2O_PERCENT Percentage of Lithium Oxide

    REO_PERCENT Percentage of Rare Earth Oxides

    Y_PERCENT Percentage of Yttrium

    HF_PERCENT Percentage of Hafnium

    U3O8_KILOGRAMS_PER_TONNE Triuranium octoxide (kilograms per tonne)

    NI_PERCENT Percentage of Nickel

    CO_PERCENT Percentage of Cobalt

    PT_GRAMS_PER_TONNE Platinum (Grams Per Tonne)

    PD_GRAMS_PER_TONNE Palladium (Grams Per Tonne)

    RH_GRAMS_PER_TONNE Rhodium (Grams Per Tonne)

    IR_GRAMS_PER_TONNE Iridium (Grams Per Tonne)

    OS_GRAMS_PER_TONNE Osmium (Grams Per Tonne)

    ZRN_PERCENT Percentage of Zircon

    FE_PERCENT Percentage of Iron

    V2O5_PERCENT Percentage of Vanadium Pentoxide

    SC_KILOGRAMS_PER_TONNE Scandium (Kilograms Per Tonne)

    CR2O3_PERCENT Percentage of Chromic Oxide

    MG_PERCENT Percentage of Magnesium

    MN_PERCENT Percentage of Manganese

    AL2O3_PERCENT Percentage of Aluminium Oxide

    DIAMOND_CARATS_PER_TONNE Diamond Carats Per Tonne

    HEAVY_MINERALS_PERCENT Percentage of Heavy Minerals

    P2O5_PERCENT Percentage of Phosphate

    SALT_PERCENT Percentage of Salt

    K_PERCENT Percentage of Potassium

    GRAPHITE_PERCENT Percentage of Graphite

    CAF2_PERCENT Percentage of Calcium Fluoride

    CU_MEGATONNES Copper Megatonnes

    ZN_MEGATONNES Zinc Megatonnes

    PB_MEGATONNES Lead Megatonnes

    AG_KILOTONNES Silver Kilotonnes

    AU_TONNES Gold Tonnes

    BARITE_MEGATONNES Barite Megatonnes

    SB_KILOTONNES Antimony Kilotonnes

    CD_KILOTONNES Cadmium Kilotonnes

    SN_KILOTONNES Tin Kilotonnes

    WO3_KILOTONNES Tungsten Trioxide Kilotonnes

    MO_KILOTONNES Molybdenum Kilotonnes

    RE_MEGATONNES Rhenium Megatonnes

    IN_KILOTONNES Indium Kilotonnes

    F_KILOTONNES Fluorine Kilotonnes

    BI_KILOTONNES Bismuth Kilotonnes

    TA_KILOTONNES Tantalum Kilotonnes

    NB_KILOTONNES Niobium Kilotonnes

    LI_KILOTONNES Lithium Kilotonnes

    REO_MEGATONNES Rare Earth Oxides Megatonnes

    Y_MEGATONNES Yttirum Megatonnes

    HF_MEGATONNES Hafnium Megatonnes

    U3O8_TONNES Triuranium Octoxide Megatonnes

    NI_MEGATONNES Nickel Megatonnes

    CO_KILOTONNES Cobalt Kilotonnes

    PT_TONNES Platnum Tonnes

    PD_TONNES Palladium Tonnes

    RH_TONNES Rhodium Tonnes

    IR_TONNES Iridium Tonnes

    OS_TONNES Osmium Tonnes

    ZR_MEGATONNES Zirconium Megatonnes

    FE_MEGATONNES Iron Megatonnes

    V2O5_KILOTONNES Vanadium Oxide Kilotonnes

    SC_TONNES Scandium Tonnes

    CR2O3_MEGATONNES Chromic Oxide Megatonnes

    MG_MEGATONNES Magnesium Megatonnes

    MN_MEGATONNES Manganese Megatonnes

    AL2O3_GIGATONNES Aluminium Oxide Gigatonnes

    DIAMOND_MEGACARATS Diamond Mega Carat

    HEAVY_MINERALS_MEGATONNES Heavy Minerals Megatonnes

    P2O5_MEGATONNES Phosphate Megatonnes

    SALT_MEGATONNES Salt Megatonnes

    K2SO4_KILOTONNES Potassium Sulfate Kilotonnes

    GR_MEGATONNES Graphite Megatonnes

    FL_KILOTONNES Fluorite Megatonnes

    FIRST_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    FIRST_HOST_ROCK_PID Host Rock Persistent ID (PID)

    FIRST_HOST_ROCK_NAME Host Rock Name

    FIRST_HOST_ROCK_DESCRIPTION Host Rock Description

    FIRST_HOST_ROCK_AGE Host Rock Age

    SECOND_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    SECOND_HOST_ROCK_PID Host Rock Persistent ID (PID)

    SECOND_HOST_ROCK_NAME Host Rock Name

    SECOND_HOST_ROCK_DESCRIPTION Host Rock Description

    SECOND_HOST_ROCK_AGE Host Rock Age

    THIRD_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    THIRD_HOST_ROCK_PID Host Rock Persistent ID (PID)

    THIRD_HOST_ROCK_NAME Host Rock Name

    THIRD_HOST_ROCK_DESCRIPTION Host Rock Description

    THIRD_HOST_ROCK_AGE Host Rock Age

    FOURTH_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    FOURTH_HOST_ROCK_PID Host Rock Persistent ID (PID)

    FOURTH_HOST_ROCK_NAME Host Rock Name

    FOURTH_HOST_ROCK_DESCRIPTION Host Rock Description

    FOURTH_HOST_ROCK_AGE Host Rock Age

    FIFTH_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    FIFTH_HOST_ROCK_PID Host Rock Persistent ID (PID)

    FIFTH_HOST_ROCK_NAME Host Rock Name

    FIFTH_HOST_ROCK_DESCRIPTION Host Rock Description

    FIFTH_HOST_ROCK_AGE Host Rock Age

    SIXTH_HOST_ROCK_STRATNO Host Rock Stratigraphic Index Number (STRANTNO)

    SIXTH_HOST_ROCK_PID Host Rock Persistent ID (PID)

    SIXTH_HOST_ROCK_NAME Host

  5. g

    Angola 1:1,000,000 Scale Mineral Resources Maps (4 sheets)

    • shop.geospatial.com
    Updated Feb 27, 2019
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    (2019). Angola 1:1,000,000 Scale Mineral Resources Maps (4 sheets) [Dataset]. https://shop.geospatial.com/publication/S0GG07KS38G4MWAZP1531GDM61/Angola-1-to-1000000-Scale-Mineral-Resources-Maps-4-sheets
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    Dataset updated
    Feb 27, 2019
    Area covered
    Angola
    Description

    Spatial coverage index compiled by East View Geospatial of set "Angola 1:1,000,000 Scale Mineral Resources Maps (4 sheets)". Source data from INGA (publisher). Type: Geoscientific - Geology. Scale: 1:1,000,000. Region: Africa.

  6. a

    USGS Topographic Mine-related Symbols

    • hub.arcgis.com
    • colorado-river-portal.usgs.gov
    • +4more
    Updated Aug 4, 2016
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    U.S. Geological Survey (2016). USGS Topographic Mine-related Symbols [Dataset]. https://hub.arcgis.com/maps/668b96adcb7249fda398171b95d4a90f
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    Dataset updated
    Aug 4, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    Area covered
    Description

    Version 10.0 (Alaska, Hawaii and Puerto Rico added) of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. The compilation of 725,690 point and polygon mine symbols from approximately 106,350 maps across 50 states, the Commonwealth of Puerto Rico (PR) and the District of Columbia (DC) has been completed: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Connecticut (CT), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Idaho (ID), Illinois (IL), Indiana (IN), Iowa (IA), Kansas (KS), Kentucky (KY), Louisiana (LA), Maine (ME), Maryland (MD), Massachusetts (MA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), Nebraska (NE), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New Mexico (NM), New York (NY), North Carolina (NC), North Dakota (ND), Ohio (OH), Oklahoma (OK), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Vermont (VT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate timeline of when these activities occurred. These data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. These data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.Datasets were developed by the U.S. Geological Survey Geology, Geophysics, and Geochemistry Science Center (GGGSC). Compilation work was completed by USGS National Association of Geoscience Teachers (NAGT) interns: Emma L. Boardman-Larson, Grayce M. Gibbs, William R. Gnesda, Montana E. Hauke, Jacob D. Melendez, Amanda L. Ringer, and Alex J. Schwarz; USGS student contractors: Margaret B. Hammond, Germán Schmeda, Patrick C. Scott, Tyler Reyes, Morgan Mullins, Thomas Carroll, Margaret Brantley, and Logan Barrett; and by USGS personnel Virgil S. Alfred, Damon Bickerstaff, E.G. Boyce, Madelyn E. Eysel, Stuart A. Giles, Autumn L. Helfrich, Alan A. Hurlbert, Cheryl L. Novakovich, Sophia J. Pinter, and Andrew F. Smith.USMIN project website: https://www.usgs.gov/USMIN

  7. w

    Mineral Resources On-Line Spatial Data

    • data.wu.ac.at
    • data.amerigeoss.org
    html
    Updated Mar 23, 2015
    + more versions
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    (2015). Mineral Resources On-Line Spatial Data [Dataset]. https://data.wu.ac.at/schema/edx_netl_doe_gov/MDlkZjA3YzMtNzMyNC00YjFkLWFkNTUtZTY3Mjg4NzQwZTBi
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    htmlAvailable download formats
    Dataset updated
    Mar 23, 2015
    Area covered
    aed0b4b67b7eae63e38b043cca86d107111e7daf
    Description

    Interactive maps and downloadable data for regional and global Geology, Geochemistry, Geophysics, and Mineral Resources, provided by USGS. Multiple useful links for materials to help understand the geology of locations.

  8. CGS Information Warehouse: Mineral Land Classification Maps (SMARA...

    • gis.data.cnra.ca.gov
    • data.cnra.ca.gov
    • +6more
    Updated Jun 4, 2019
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    California Department of Conservation (2019). CGS Information Warehouse: Mineral Land Classification Maps (SMARA Petitions) [Dataset]. https://gis.data.cnra.ca.gov/datasets/cadoc::cgs-information-warehouse-mineral-land-classification-maps-smara-petitions
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    Dataset updated
    Jun 4, 2019
    Dataset authored and provided by
    California Department of Conservationhttp://www.conservation.ca.gov/
    Area covered
    Description

    Mineral Land Classification studies are produced by the State Geologist as specified by the Surface Mining and Reclamation Act (SMARA, PRC 2710 et seq.) of 1975. To address mineral resource conservation, SMARA mandated a two-phase process called classification-designation. Classification is carried out by the State Geologist and designation is a function of the State Mining and Geology Board. The classification studies contained here evaluate the mineral resources and present this information in the form of Mineral Resource Zones. The objective of the classification-designation process is to ensure, through appropriate local lead agency policies and procedures, that mineral materials will be available when needed and do not become inaccessible as a result of inadequate information during the land-use decision-making process.

  9. g

    Ghana 1:1,000,000 Scale Geology and Mineral Resources Map

    • shop.geospatial.com
    Updated Feb 27, 2019
    + more versions
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    (2019). Ghana 1:1,000,000 Scale Geology and Mineral Resources Map [Dataset]. https://shop.geospatial.com/publication/8HEEWT0PZ6R841Y7J3YSBZNSA1/Ghana-1-to-1000000-Scale-Geology-and-Mineral-Resources-Map
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    Dataset updated
    Feb 27, 2019
    Area covered
    Ghana
    Description

    Spatial coverage index compiled by East View Geospatial of set "Ghana 1:1,000,000 Scale Geology and Mineral Resources Map". Source data from MC (publisher). Type: Geoscientific - Minerals. Scale: 1:1,000,000. Region: Africa.

  10. o

    GSNI Northern Ireland Mineral Resources - Dataset - Open Data NI

    • admin.opendatani.gov.uk
    Updated Jul 5, 2018
    + more versions
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    (2018). GSNI Northern Ireland Mineral Resources - Dataset - Open Data NI [Dataset]. https://admin.opendatani.gov.uk/dataset/northern-ireland-mineral-resources
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    Dataset updated
    Jul 5, 2018
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Ireland, Northern Ireland
    Description

    Following a commission from the Department of the Environment, the British Geological Survey and the Geological Survey of Northern Ireland produced a series of Mineral Resources Maps of Northern Ireland. The maps are intended to assist strategic decision-making in respect of mineral extraction and the protection of important mineral resources against sterilisation. Six digitally generated maps at a scale of 1:100 000 scale are available. The data were produced by the collation and interpretation of mineral resource data principally held by the Geological Survey of Northern Ireland.

  11. d

    Energy and Mineral Resources Map of the Washoe City 7.5 min. Quadrangle

    • datadiscoverystudio.org
    Updated Jan 1, 1978
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    Richard B. Jones; Keith G. Papke (1978). Energy and Mineral Resources Map of the Washoe City 7.5 min. Quadrangle [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5b551130935743e3a41e1692463bcf69/html
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    Dataset updated
    Jan 1, 1978
    Authors
    Richard B. Jones; Keith G. Papke
    Area covered
    Description

    Energy and mineral resources map of the Washoe City 7.5-minute quadrangle showing six categories of potential sand and gravel sources, symbols for past sand and gravel production, symbols for past production of sand, three categories of potential decomposed granite sources, symbols for past decomposed granite production, five categories of potential rock product sources, symbols for past crushed rock production, three categories of metallic mineral deposits, three types of symbols for known metallic mineral occurrences, geothermal areas, and areas with dense population from which future production of mineral resources is unlikely. Geothermal data by L. J. Garside. Other maps in the NBMG Urban Map series for the Washoe City Quadrangle include Slope (5Ab), Soils (5ad), Hydrology (5Af), Geology (5Ah), Geologic cross sections (5Ak), Flood and related debris flow hazards (5Al), and Geologic hazards (5An). See figure 3 for other quadrangles in the Urban Map series. For more info about this resource or to purchase the map, please see the link provided.

  12. a

    Data from: Major mineral deposits of the world

    • hub.arcgis.com
    • fesec-cesj.opendata.arcgis.com
    • +1more
    Updated Aug 17, 2018
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    ArcGIS StoryMaps (2018). Major mineral deposits of the world [Dataset]. https://hub.arcgis.com/maps/Story::major-mineral-deposits-of-the-world
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    Dataset updated
    Aug 17, 2018
    Dataset authored and provided by
    ArcGIS StoryMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    World,
    Description

    The five regional compilations of major mineral deposits that are here combined were originally created to begin a global mineral resource assessment, and so should be understood as providing generalized fundamental information about where in the world important mineral resources have been discovered.For our purposes, we did not need to obtain highly precise geographic locations or details of the geometry of the deposits or their precise geographic extents. The user should expect these point locations to be near the deposits they describe, but the locations may be expected to be one or a few kilometers from the actual locations.Likewise this survey did not require detailed information on the geological setting of each deposit or the extent of production or resource estimates. For larger deposits described here, such information may be available in other USGS databases or publications.

  13. Explanatory notes of the 1:2 500 000 mineral deposits map of Papua New...

    • ecat.ga.gov.au
    • data.wu.ac.at
    Updated Jan 1, 1974
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    Commonwealth of Australia (Geoscience Australia) (1974). Explanatory notes of the 1:2 500 000 mineral deposits map of Papua New Guinea [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/a05f7892-fd92-7506-e044-00144fdd4fa6
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Jan 1, 1974
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Area covered
    Papua New Guinea,
    Description

    The Mineral Deposits Map of Papua New Guinea has been compiled jointly by the Bureau of Mineral Resources (BMR) and the Geological Survey of Papua New Guinea. Open-file data have been used in the compilation of the map, which is envisaged as an aid to exploration and for official purposes; it is not intended to be a metallogenic map. Metals, mineral fuels, and industrial minerals are plotted but construction and fluxing materials and groundwater are excluded. The commodities in the map and tables are present in, or have been extracted from, each deposit as shown, and the importance of the deposit has been assessed on available information. The notes supplement the map by providing detailed information on each commodity. They are organized into sections which correspond to the commodity groups discussed below, and within each section the data on individual commodities are present in tabular form. Appendix II lists the commodities occurring in each Papua New Guinea 1:250 000 Sheet area. Figure 1 is a reference map of the Sheet areas.

  14. W

    Mineral Resource Map of Wales

    • cloud.csiss.gmu.edu
    html
    Updated Jan 9, 2020
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    The citation is currently not available for this dataset.
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 9, 2020
    Dataset provided by
    United Kingdom
    Area covered
    Wales
    Description

    The British Geological Survey (BGS) was awarded a grant from the Welsh Assembly Government Aggregates Levy Fund in 2009 to provide a comprehensive, relevant and accessible information base to enhance the sustainability of mineral resources for Wales. BGS co-funded this project through its Sustainable Mineral Solutions project. This work was completed in 2010. This dataset comprises the digital GIS files which were produced through this project. The major elements of minerals information presented on the maps are; the geological distribution of all onshore mineral resources in Wales, the location of mineral extraction sites, the recorded occurrences of metallic minerals, the recorded location of former slate quarries and significant areas of slate waste and the recorded location of historic building stone quarries. The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest. The data should not be used to determine individual planning applications or in taking decisions on the acquisition or use of a particular piece of land, although they may give useful background information which sets a specific proposal in context.

  15. Digital Geologic-GIS Map of Appomattox Court House National Historical Park...

    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of Appomattox Court House National Historical Park and Vicinity, Virginia (NPS, GRD, GRI, APCO, APCO digital map) adapted from a Virginia Department of Mines, Minerals and Energy, Division of Mineral Resources Publication map by Virginia Division of Mineral Resources (2021) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-appomattox-court-house-national-historical-park-and-vicinity-v
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Appomattox, Virginia
    Description

    The Digital Geologic-GIS Map of Appomattox Court House National Historical Park and Vicinity, Virginia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (apco_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 map file (.mapx) file (apco_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (apco_geology.mxd) and individual 10.1 layer (.lyr) 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 10.1 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 GIS readme file (apco_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (apco_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 (apco_geology_metadata_faq.pdf). Please read the apco_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: 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: Virginia Department of Mines, Minerals and Energy, Division of Mineral Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (apco_geology_metadata.txt or apco_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 1:500,000 and United States National Map Accuracy Standards features are within (horizontally) 254 meters or 833.3 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, 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).

  16. A

    USGS Mineral Resources: Mineral Resources Data System Map

    • data.amerigeoss.org
    • data.wu.ac.at
    html
    Updated Aug 9, 2019
    + more versions
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    Energy Data Exchange (2019). USGS Mineral Resources: Mineral Resources Data System Map [Dataset]. https://data.amerigeoss.org/dataset/f94cee6d-c3ba-4ace-9ed9-b25b55e16b7e
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Description

    From the site: "MRDS is a collection of reports describing metallic and nonmetallic mineral resources throughout the world. Included are deposit name, location, commodity, deposit description, geologic characteristics, production, reserves, resources, and references. It subsumes the original MRDS and MAS/MILS.

    MRDS is large and complex. This service provides a subset of the database comprised of those data fields deemed most useful and which most frequently contain some information, but full reports of most records are available as well."

  17. e

    INSPIRE-WMS Mineral Resources / Map of Near Surface Raw Materials 1: 50 000...

    • data.europa.eu
    wms
    Updated Feb 21, 2025
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    INSPIRE-Zentrale im Land Brandenburg (2025). INSPIRE-WMS Mineral Resources / Map of Near Surface Raw Materials 1: 50 000 (KOR50) BB [Dataset]. https://data.europa.eu/data/datasets/c0ebebef-944e-45e9-86f7-82d4fbe45f35
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    wmsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    INSPIRE-Zentrale im Land Brandenburg
    Description

    The interoperable INSPIRE-WMS is a display service that displays data in the Annex Schema Mineral Resources (derived from the original dataset: Map of near-surface raw materials 1: 50 000 (KOR50) Brandenburg). It gives an overview of the near-surface raw materials in the state of Brandenburg on a scale of 1:50,000. According to the INSPIRE Data Specification Mineral Resources (D2.8.III.21_v3.0), the contents of the map are INSPIRE compliant. The WMS contains the following layer:

    - MR.MineralOccurrence: An accumulation of minerals in the lithosphere.

    The compliant INSPIRE-WMS Mineral Resources / Map of Near Surface Raw Materials 1: 50 000 (KOR50) Brandenburg is a view service that delivers data in the annex schema Mineral Resources (derived from the original data set: Map of near-surface raw materials at a scale of 1:50,000 (KOR50) Brandenburg). It provides an overview of the near-surface raw materials in the State of Brandenburg at a scale of 1:50,000. The content of the map is compliant to the INSPIRE data specification for the annex theme Mineral Resources (D2.8.III.21_v3.0). The WMS includes the following layer: - MR.MineralOccurrence: A mineral accumulation in the lithosphere.

  18. d

    Data from: Geologic Map of the Northeastern Hieroglyphic Mountains, Central...

    • datadiscoverystudio.org
    Updated Jan 1, 1986
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    Scott, A.E.; Kortemeier, P.C.; Reynolds, S. J.; Capps, C.R. (1986). Geologic Map of the Northeastern Hieroglyphic Mountains, Central Arizona [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/1135c39a989e4007be7636c643d28d74/html
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    Dataset updated
    Jan 1, 1986
    Authors
    Scott, A.E.; Kortemeier, P.C.; Reynolds, S. J.; Capps, C.R.
    Area covered
    Description

    This report presents a preliminary 1:24,000-scale geologic map of thenortheastern Hieroglyphic Mountains in central Arizona. The mapping,completed between January and June, 1986, was jointly funded by the U. S.Geological Survey and the Arizona Bureau of Geology and Mineral Technology aspart of the cost-sharing, Cooperative Geologic Mapping Program (COGEOMAP).The aim of COGEOMAP is to produce high-quality geologic maps for areas thathave been inadequately mapped and that have high mineral resource or naturalhazard potential.The mapping was done on 1:24,000-scale topographic maps and on 1:24,000-scale color aerial photographs provided by Raymond A. Brady, U. S. Bureau ofLand Management, Phoenix.

  19. Data from: Unlocking the Potential of Unconventional Critical Mineral...

    • osti.gov
    Updated Oct 11, 2022
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    Bauer, Sophia; Creason, Gabriel; Gordon, Andrew; Justman, Devin; Montross, Scott N-; Rose, Kelly; Sabbatino, Michael; Yesenchak, Rachel (2022). Unlocking the Potential of Unconventional Critical Mineral Resources Story Map [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1891489-unlocking-potential-unconventional-critical-mineral-resources-story-map
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    Dataset updated
    Oct 11, 2022
    Dataset provided by
    National Energy Technology Laboratoryhttps://netl.doe.gov/
    USDOE Office of Fossil Energy (FE)
    Authors
    Bauer, Sophia; Creason, Gabriel; Gordon, Andrew; Justman, Devin; Montross, Scott N-; Rose, Kelly; Sabbatino, Michael; Yesenchak, Rachel
    Description

    An ArcGIS Story Map that provides context and understanding of unconventional critical mineral resource potential.

  20. d

    Preliminary geologic map of the Los Angeles 7.5' quadrangle, Southern...

    • search.dataone.org
    • datadiscoverystudio.org
    • +2more
    Updated Dec 1, 2016
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    R. F. Yerkes; S. E. Graham (2016). Preliminary geologic map of the Los Angeles 7.5' quadrangle, Southern California: A digital database [Dataset]. https://search.dataone.org/view/f2226927-3761-481e-92e8-8d15f9d1aa9d
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    R. F. Yerkes; S. E. Graham
    Area covered
    Variables measured
    DIP, LTYPE, PTTYPE, STRIKE
    Description

    This Open-File report is a digital geologic map database. This digital map database is compiled from previously published sources combined with some new mapping and modifications in nomenclature. The geologic map database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U. S. Geological Survey.

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U.S. Geological Survey (2016). Mineral Resources Data System [Dataset]. https://search.dataone.org/view/3e55bd49-a016-4172-ad78-7292618a08c2

Mineral Resources Data System

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Dataset updated
Oct 29, 2016
Dataset provided by
USGS Science Data Catalog
Authors
U.S. Geological Survey
Area covered
Variables measured
ORE, REF, ADMIN, MODEL, STATE, COUNTY, DEP_ID, GANGUE, MAS_ID, REGION, and 29 more
Description

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

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