81 datasets found
  1. g

    MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland

    • egdi.geology.cz
    Updated Jan 22, 2025
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    Polish Geological Institute – National Research Institute (PGI-NRI) (2025). MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland [Dataset]. https://egdi.geology.cz/record/basic/8d47dd6c-ab24-49b3-81db-368e9d7cb716
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Polish Geological Institute – National Research Institute (PGI-NRI)
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Area covered
    Description

    Under the Act of June 9, 2011, Geological and Mining Law (Journal of Laws No. 163, item 981, as amended) Polish Geological Institute – National Research Institute (PIG-PIB) performs the role of Polish Geological Survey. One of the tasks of PIG-PIB as Geological Survey is to create and maintain geological databases, in this including the system MIDAS (the System of management and protection of mineral resources in Poland – MIDAS). System MIDAS is the primary source of information on mineral resources of Poland, the exploitation of deposits and it is the source of data for the project Mintell4eu. The System contains information on deposits (and its spatial location), raw materials in deposits, raw materials resources and on the raw materials volumes of exploitation. In addition, it also contains data on mining areas and exploatation permits (concessions) as well as their spatial location. The owner of the colected data is the State Treasury represented by the proper minister resposible for geology. The original MIDAS database structure has been modified and adapted to the structure given in Mintell4eu specification.

  2. CGS Information Warehouse: Mineral Lands Classification

    • catalog.data.gov
    bin
    Updated Feb 20, 2025
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    California Department of Conservation (2025). CGS Information Warehouse: Mineral Lands Classification [Dataset]. https://catalog.data.gov/dataset/cgs-information-warehouse-mineral-lands-classification
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    binAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    California Department of Conservationhttp://www.conservation.ca.gov/
    License

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

    Description
    Mineral Land Classification (MLC) 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.

    For more information about MLC please visit our website.
  3. e

    MIN4EU LGRB-BW: mining sites - harmonized dataset

    • data.europa.eu
    wfs
    Updated Dec 9, 2021
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    Regierungspraesidium Freiburg - Dept. 9 State Authority for Geology, Mineral Resources and Mining, Ref. 96 state raw material geology (2021). MIN4EU LGRB-BW: mining sites - harmonized dataset [Dataset]. https://data.europa.eu/data/datasets/685471b0-116b-471f-9386-6c8e0443bb4c?locale=da
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    wfsAvailable download formats
    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Regierungspraesidium Freiburg - Dept. 9 State Authority for Geology, Mineral Resources and Mining, Ref. 96 state raw material geology
    License

    http://dcat-ap.de/def/licenses/other-closedhttp://dcat-ap.de/def/licenses/other-closed

    Description

    Since the end of the 1980ies the geological, areal and production data of operating mining sites have been collected systematically by LGRB. The periodic update of this information is carried out every four or five years. Main reasons are 1) the preparation of the periodic follow-up of the 12 regional development plans, 2) the work on the near-surface mineral raw material maps published by LGRB, and 3) the periodical editing of the state report for near-surface mineral raw materials published by LGRB at the start of each new election period. The geological data include a detailed documentation of the thickness, petrography and quality of mined rock(s) and the overburden as well as geochemical data gained from rock samples. The areal data refer both to the permitted mining area (zones of recultivation, work and expansion) and to possible areas for the mine expansion (the latter are confidential). Due to the quick spatiotemporal variability of these data, here all mining sites are shown as point data. The confidential annual production data are the basis for the periodic raw material report. In addition, another data are collected, e.g. for the mining permission, the delivery area and the subsequent land use. All these data are stored in the mining site database of the LGRB (Rohstoffgewinnungs-stellendatenbank = RGDB). This one comprises also the data for abandoned mining sites and mines. In total, actual (2021) about 14.000 data records are stored. The name of each mining site (e.g. RG 6826-3) consists of three parts. RG is the abbreviation for "Rohstoffgewinnungsstelle". the following four-digit number means the number of the relevant topographic map 1 : 25.000. The last number means the serial number of the mining site; serial numbers 1-99 mark operating mining sites gathered since the end of the 1980ies ( (today partially already closed) , such > 100 mark abandoned mining sites collected before 1980 and such > 300 mark data of mining sites and mines collected in the course of actual raw material mapping.
    The mintell4eu data set comprises all mining sites with serial numbers 1-99. In addition, the most important abandoned mines of former or probably still ongoing economic importance.

  4. e

    Critical Raw Materials - Mineral Occurrences

    • metadata.europe-geology.eu
    Updated May 27, 2026
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    Geological Survey of Denmark and Greenland (GEUS) (2026). Critical Raw Materials - Mineral Occurrences [Dataset]. https://metadata.europe-geology.eu/record/basic/5f800e83-dc98-4849-a497-58400a010833
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    Dataset updated
    May 27, 2026
    Dataset authored and provided by
    Geological Survey of Denmark and Greenland (GEUS)
    License

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

    Area covered
    Description

    Applications shows results of SQL query to Minerals Occurrence database.

  5. p

    Arizona Geological Survey Publications Repository

    • projectwdata.net
    Updated Aug 17, 2026
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    University of Arizona (2026). Arizona Geological Survey Publications Repository [Dataset]. https://www.projectwdata.net/dataset/7766
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    Dataset updated
    Aug 17, 2026
    Dataset authored and provided by
    University of Arizona
    Area covered
    United States of America (USA), Arizona
    Description

    To provide public access to geological publications, maps, reports, databases, and research products that support geoscience research, natural resource management, and environmental decision-making in Arizona.

    The Arizona Geological Survey (AZGS) serves as Arizona's primary source of geologic information and has been publishing geological maps, reports, and related materials since 1915. The Publications Repository acts as a centralized portal for accessing historical and current geological information produced by AZGS and its predecessor organizations.

    The repository contains thousands of geological resources, including geologic maps, technical reports, bulletins, circulars, open-file reports, contributed reports, mining records, geochemical datasets, bibliographic records, oil and gas well data, geothermal data, subsurface resource information, and natural hazards datasets. Resources cover topics such as geology, hydrogeology, groundwater resources, mineral resources, mining, oil and gas, geothermal energy, geologic hazards, earthquakes, faults, earth fissures, flood risk, geochemistry, stratigraphy, paleontology, landforms, and environmental geology. The repository includes publications dating from 1915 to the present, as well as historical records from predecessor agencies. Users can access reports, maps, databases, interactive tools, and downloadable datasets through a searchable platform.

    The repository aggregates publications, maps, and datasets produced through geological field investigations, geologic mapping programs, groundwater studies, mineral resource assessments, geochemical analyses, mining surveys, hazard investigations, oil and gas monitoring programs, and academic research conducted by AZGS and collaborating organizations. The platform serves as a digital archive and distribution system for these materials.

  6. Graphite deposits in the United States

    • catalog.data.gov
    xml
    Updated Jan 31, 2022
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    U.S. Geological Survey (2022). Graphite deposits in the United States [Dataset]. https://catalog.data.gov/dataset/graphite-deposits-in-the-united-states
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    xmlAvailable download formats
    Dataset updated
    Jan 31, 2022
    Dataset provided by
    United States Geological Surveyhttps://www.usgs.gov/
    Area covered
    United States
    Description

    This U.S. Geological Survey (USGS) data release provides the descriptions of 10 U.S. sites that include mineral regions, mineral occurrences, and mine features that contain enrichments of graphite. To be included in this data release, sites must have a contained resource and (or) past production of more than 1,000 metric tons of graphite, which is approximately 3 percent of the average annual U.S. consumption of graphite from 2016 through 2020. Sites in this dataset occur in Alaska, Alabama, Colorado, Montana, New York, Pennsylvania, and Texas. There are known graphite occurrences in California, Connecticut, Georgia, Michigan, New Hampshire, New Jersey, North Carolina, Rhode Island, and Wyoming that have not been included in this database because contained resource and (or) production of graphite were not found above our cutoff in the public domain for these areas. Graphite is considered a critical and strategic mineral because of its essential applications in the aerospace and energy sectors (Robinson and others, 2017). Graphite is used in batteries, brake linings, lubricants, powdered metals, refractory applications, and steelmaking (U.S. Geological Survey, 2021). In 2020, the U.S. was 100 percent net import reliant on graphite from countries that included China, Mexico, Canada, and India (U.S. Geological Survey, 2021). Graphite has not been produced in the U.S. since the 1950s. Graphite occurs in the U.S. as disseminated flake graphite deposits and as graphite veins. Globally, most currently mined flake graphite deposits contain at least 8 to 12 percent graphitic carbon in deposits larger than 0.5 million metric tons (Robinson and others, 2017). In comparison, the Graphite Creek deposit in Alaska contains a measured and indicated resource of more than 10 million metric tons with 7.8 percent graphite plus an inferred resource of more than 90 million metric tons with 8 percent graphite (King and others, 2019). Graphite One Inc. plans to decide whether to move the Graphite Creek deposit into production after an updated prefeasibility study is completed in early 2022. The entries and descriptions in the database were derived from published papers, reports, data, and internet documents representing a variety of sources, including geologic and exploration studies described in State, Federal, and industry reports. Resources extracted from older sources might not be compliant with current rules and guidelines in minerals industry standards such as National Instrument 43-101 (NI 43-101). The presence of a graphite mineral deposit in this database is not meant to imply that the deposit is currently economic. Rather, these deposits were included to capture the characteristics of the largest graphite deposits in the United States. Inclusion of material in the database is for descriptive purposes only and does not imply endorsement by the U.S. Government. The authors welcome additional published information in order to continually update and refine this dataset. King, N., Valorose, C., and Ellis, W., 2019, 2019 NI 43-101 mineral resource update for Graphite Creek, Seward Peninsula, Alaska, USA, prepared for Graphite One Inc. [Filing date March 26, 2019]: Alaska Earth Sciences, Inc., 258 p., accessed February 6, 2020, at http://www.sedar.com. Robinson, G.R., Jr., Hammarstrom, J.M., and Olson, D.W., 2017, Graphite, chap. J of Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., Critical mineral resources of the United States - Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, p. J1-J24, https://doi.org/10.3133/pp1802J. U.S. Geological Survey, 2021, Mineral commodity summaries 2021: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2021.

  7. e

    Mineral Resoucers Map of the Republic of Srpska 1:300 000

    • metadata.europe-geology.eu
    Updated May 27, 2026
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    Geological Survey of the Republic of Srpska (RZZGI) (2026). Mineral Resoucers Map of the Republic of Srpska 1:300 000 [Dataset]. https://metadata.europe-geology.eu/record/basic/66699ba8-7c18-461a-8128-02c40a010855
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    Dataset updated
    May 27, 2026
    Dataset authored and provided by
    Geological Survey of the Republic of Srpska (RZZGI)
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply

    Area covered
    Description

    The preparation of this map was preceded by the preparation of the Mineral Resources Cadastre of the Republic of Srpska. The process of creating the cadastre itself is an extensive multi-year work that includes a field work as well as electronic data processing. The data from the cadaster are ploted on the previously prepared Geological map and the result of this process is the Mineral Resources map of the Republic of Srpska.

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

    • data.cnra.ca.gov
    Updated Jun 4, 2019
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    California Department of Conservation (2019). CGS Information Warehouse: Mineral Land Classification Maps (SMARA Study Areas) [Dataset]. https://data.cnra.ca.gov/dataset/cgs-information-warehouse-mineral-land-classification-maps-smara-study-areas
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    html, arcgis geoservices rest api, geojson, csv, zip, kmlAvailable download formats
    Dataset updated
    Jun 4, 2019
    Dataset authored and provided by
    California Department of Conservationhttp://www.conservation.ca.gov/
    License

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

    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

    Registered reserved and approved prognostic resources of reserved minerals...

    • micka.geology.cz
    Updated May 20, 2026
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    Czech Geological Survey (2026). Registered reserved and approved prognostic resources of reserved minerals in the Czech Republic [Dataset]. https://micka.geology.cz/en/record/basic/65a1c0a2-1d00-4954-8822-10c90a010852
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    Dataset updated
    May 20, 2026
    Dataset authored and provided by
    Czech Geological Survey
    License

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

    Area covered
    Description

    Open dataset contains basic information on all registered reserved mineral deposits (B) and approved prognosticated mineral resources of reserved (P) and non-reserved (R) minerals in the territory of the Czech Republic. The Ministry of the Environment issues a certificate of reserved deposit if a reserved mineral is found in quantity and quality that allow its accumulation to be reasonably expected. The data of subregisters B, P, R are part of the Raw Materials Information System (SurIS) of the Czech Geological Survey.

  10. e

    MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland

    • data.europa.eu
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    MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland [Dataset]. https://data.europa.eu/data/datasets/8d47dd6c-ab24-49b3-81db-368e9d7cb716?locale=ga
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    inspire download serviceAvailable download formats
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Description

    Under the Act of June 9, 2011, Geological and Mining Law (Journal of Laws No. 163, item 981, as amended) Polish Geological Institute – National Research Institute (PIG-PIB) performs the role of Polish Geological Survey. One of the tasks of PIG-PIB as Geological Survey is to create and maintain geological databases, in this including the system MIDAS (the System of management and protection of mineral resources in Poland – MIDAS). System MIDAS is the primary source of information on mineral resources of Poland, the exploitation of deposits and it is the source of data for the project Mintell4eu. The System contains information on deposits (and its spatial location), raw materials in deposits, raw materials resources and on the raw materials volumes of exploitation. In addition, it also contains data on mining areas and exploatation permits (concessions) as well as their spatial location. The owner of the colected data is the State Treasury represented by the proper minister resposible for geology. The original MIDAS database structure has been modified and adapted to the structure given in Mintell4eu specification.

  11. e

    MIN4EU LGRB-BW: near-surface mineral raw material occurrences - harmonized...

    • data.europa.eu
    wfs
    Updated May 13, 2021
    + more versions
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    Regierungspraesidium Freiburg - Dept. 9 State Authority for Geology, Mineral Resources and Mining, Ref. 96 state raw material geology (2021). MIN4EU LGRB-BW: near-surface mineral raw material occurrences - harmonized dataset [Dataset]. https://data.europa.eu/data/datasets/42a0ebee-2275-4255-a15a-a27742ffc19d?locale=en
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    wfsAvailable download formats
    Dataset updated
    May 13, 2021
    Dataset authored and provided by
    Regierungspraesidium Freiburg - Dept. 9 State Authority for Geology, Mineral Resources and Mining, Ref. 96 state raw material geology
    License

    http://dcat-ap.de/def/licenses/other-closedhttp://dcat-ap.de/def/licenses/other-closed

    Description

    Since 1999, the Geologic Survey of Baden-Württemberg publishes a statewide geological map series 1 : 50 000 "Karte der mineralischen Rohstoffe 1 : 50 000 (KMR 50)". On it, the distribution of near-surface mineral raw material prospects and occurrences (mainly) and deposits (subordinate) is shown. This continuously completed and updated map currently covers around 60% of the federal state. It is the base for the regional associations in the task of mineral planning.

    The prospects and occurrences are classified according to different raw material groups (e.g. raw material for crushed stone (limestone, igneous rocks, metamorphic rocks, sand and gravel), raw materials for cement, dimension stone, high purity limestone, gypsum ...). Their spatial delineation is based on various group-specific criteria such as minimum workable thickness, minimum resources, ratio overburden/workable thickness, and so on. It is assumed that they contain deposits as a whole or in parts. In the vast majority of cases, the data is not sufficient for the immediate planning of mining projects, but it does facilitate the selection of exploration areas.

    The name of each area (e.g. L 6926-3) consists of three parts. L = roman rnumeral fo 50, 6926 = sheet number of the topographic map 1 : 50 000, 3 = number of the area/mineral occurrence shown on this sheet.

    Co-occurring land-use conflicts, e.g. water protection areas and nature conservation areas, forestry and agriculture, are not taken into account in the processing of KMR 50. Their assessment is the task of land use planning, the licensing authorities and the companies interested in mining.

    The data is stored in the statewide raw material area database "olan-db" of the LGRB.

  12. Mineral Commodity Summaries 2023 - MINERAL INDUSTRY TRENDS AND SALIENT...

    • catalog.data.gov
    xml
    Updated Jan 30, 2023
    + more versions
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    U.S. Geological Survey (2023). Mineral Commodity Summaries 2023 - MINERAL INDUSTRY TRENDS AND SALIENT STATISTICS Data Release [Dataset]. https://catalog.data.gov/dataset/mineral-commodity-summaries-2023-mineral-industry-trends-and-salient-statistics-data-relea
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    xmlAvailable download formats
    Dataset updated
    Jan 30, 2023
    Dataset provided by
    United States Geological Surveyhttps://www.usgs.gov/
    Description

    This data release contains the U.S. salient statistics and world production data extracted from the tables and figures of the USGS Mineral Commodity Summaries 2023 that give an overview of the U.S. mineral industry in 2023.

  13. a

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

    • maps-cadoc.opendata.arcgis.com
    Updated Jun 4, 2019
    + more versions
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    California Department of Conservation (2019). CGS Information Warehouse: Mineral Land Classification Maps (SMARA Petitions) [Dataset]. https://maps-cadoc.opendata.arcgis.com/maps/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 Conservation
    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.

  14. Data from: Digital data for construction material sources reported by the...

    • search.dataone.org
    Updated Oct 29, 2016
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    Hirschberg, Douglas M. (Digital Compiler); Pitts, G. Stephen (Digital Compiler); Melcher, Henry L.(Digital Compiler); Bliss, James D. (Digital Editor) (2016). Digital data for construction material sources reported by the Arizona Department of Transportation in 1977 for Maricopa County, Arizona [Dataset]. https://search.dataone.org/view/04186394-c6aa-4d22-96d6-fe414ed0c44e
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttps://www.usgs.gov/
    Authors
    Hirschberg, Douglas M. (Digital Compiler); Pitts, G. Stephen (Digital Compiler); Melcher, Henry L.(Digital Compiler); Bliss, James D. (Digital Editor)
    Area covered
    Description

    The data set marpits1 is an ArcInfo coverage of point features representing pit locations and attribution data captured from an atlas of map sheets and pit data sheets titled "A Materials Inventory of Maricopa County [Arizona]" by the Arizona Highway Department (AHD), now named the Arizona Department of Transportation (ADOT), hereafter referred to as the 'Source'. Pit locations were represented by point symbols in the Source map sheets. Points were digitized from the Source map sheets. Selected attribute data were collected from the Source pit data and map sheets. In the Source introduction it states:

    "The pit location maps show the location of all pits bearing Materials Services serial numbers. Other sources are not shown. The plotted locations are as close as possible to the true location as the scale of the map will allow." The point attribute data, captured from the Source pit data sheets are "designed to show test results (sieve analysis, plasticity index, and abrasion) for the usable material within each ADOT pit."

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

    • gis.data.ca.gov
    Updated Jun 4, 2019
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    California Department of Conservation (2019). CGS Information Warehouse: Mineral Land Classification Maps (SMARA Study Areas) [Dataset]. https://gis.data.ca.gov/datasets/0f5d685bb11e4c88abc73b7376d4bbca
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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.

  16. f

    Gold suitable geological layers for the African continent

    • novasbe.figshare.com
    txt
    Updated Apr 27, 2026
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    Victoire Girard; Guillaume Vic; Teresa Molina-Millán (2026). Gold suitable geological layers for the African continent [Dataset]. http://doi.org/10.60580/novasbe.28957058.v5
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    txtAvailable download formats
    Dataset updated
    Apr 27, 2026
    Dataset provided by
    NOVA School of Business & Economics
    Authors
    Victoire Girard; Guillaume Vic; Teresa Molina-Millán
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Africa
    Description

    The Gold suitable geological layers for the African continent provides information on the locations where artisanal and small-scale gold mining (ASgM) is geologically possible. ASgM requires the presence of gold in the ground or rivers. This database builds upon this geological necessity, recent research in geology, and the latest mapping of the contours, age, and chemical composition of the African geological bedrocks.Latest datasetThe folder Gold_suitable_geology contains the raw gold-suitable geological layers for Africa. For users familiar with the PRIO-GRID data structure (Tollefsen et al. 2012), the folder Gold_suitable_PRIOgrid provides each PRIO-GRID cell ID alongside its corresponding gold-suitability classification. This version: March 2022.Companion paperThe first version of this database was initially constructed to conduct the analysis reported in "Artisanal mining in Africa; Green for gold?" (The Economic Journal, forthcoming). The paper's appendix describes in detail the methodology and sources used to construct the database.Link to the published paper: link.Link to the (ungated) working paper version: link.Link to the associated replication package: link.LicenseCC BY-NC-SA — This license allows others to distribute, remix, adapt, and build upon the material for non-commercial purposes, as long as appropriate credit is given. Any derivative works must be licensed under the same terms.How to cite this databaseGirard, Victoire; Vic, Guillaume; Molina-Millán, Teresa (2022). Gold-suitable geological layers for the African continent. Figshare, NOVA School of Business & Economics. Dataset. https://doi.org/10.60580/novasbe.28957058.v4@article{Girard2022, author = "Victoire Girard and Guillaume Vic and Teresa Molina-Millan", title = "{Gold suitable geological layers for the African continent (Version March 2022)}", year = "2022", month = "3", url = "https://novasbe.figshare.com/articles/dataset/Gold_suitable_geological_layers_for_the_African_continent_shp_and_tif_/28957058", doi = "10.60580/novasbe.28957058" }ContactThe database is part of a broader research agenda to allow academics and policy-makers to better understand artisanal mining and its impacts. If you have any suggestions, comments, or issues, please contact me via email.

  17. MIN4EU harmonized dataset - "Minerals Inventory"

    • egdi.geology.cz
    Updated May 27, 2026
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    EuroGeoSurveys (2026). MIN4EU harmonized dataset - "Minerals Inventory" [Dataset]. https://egdi.geology.cz/record/basic/5f8008e9-7928-4ef3-a0d2-42e70a010833
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    Dataset updated
    May 27, 2026
    Dataset authored and provided by
    EuroGeoSurveys
    License

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

    Area covered
    Description

    MIN4EU DB consists of two parts: Minerals Inventory data and Minerals Yearbook data. Minerals Inventory covers mineral occurrences and mines in Europe (onshore). The European Union has identified security of supply, improving environmental management and resource efficiency as key challenges for the raw materials sector. Data on the location and spatial distribution of primary and secondary raw materials in relation to exploration, exploitation, production and trading activities form the basis for decision-making in government and industry. Given the dynamic nature of such data, regular updates of comprehensive, reliable and harmonized information across borders are required, as there are several sources of non-harmonized data with different coverages developed over the last decades by national and international projects for different purposes. Data have been prepared and collected in the projects Minerals4EU, EURare, ProSUM, ORAMA, RESEERVE and MINTELL4EU, and others and are shared in the European Geological Data Infrastructure (EGDI).

  18. d

    Niobium Deposits in the United States

    • datasets.ai
    55
    Updated Jun 1, 2023
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    Department of the Interior (2023). Niobium Deposits in the United States [Dataset]. https://datasets.ai/datasets/niobium-deposits-in-the-united-states
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    55Available download formats
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Department of the Interior
    Area covered
    United States
    Description

    This U.S. Geological Survey (USGS) data release provides the descriptions of 11 U.S. sites that include mineral regions, mines, and mineral occurrences that contain enrichments of niobium (Nb). To be included in this data release, a site must have a contained resource and (or) past production of Nb metal greater than 10,000 metric tons, which was the approximate consumption of Nb in the U.S. in 2019 (U.S. Geological Survey, 2020). Sites in this dataset occur in Alaska, Arkansas, Colorado, Nebraska, and Texas. Niobium primarily occurs in oxide minerals of the pyrochlore group, which are most commonly found in carbonatites and alkaline granite-syenite complexes. Globally, the largest Nb deposits occur in Brazil and Canada. In Brazil, the Barreiro carbonatite complex hosts the Araxá deposit that contains more than 460 million metric tons of ore with an average grade of 2.48 percent Nb2O5 (Schulz and others, 2017). The world’s leading producer of Nb outside of Brazil is the Niobec Mine in Quebec, Canada. The Niobec deposit occurs in the Saint-Honoré carbonatite complex, where pyrochlore is the main niobium-bearing mineral; the ore body contains more than 400 million metric tons with an average grade of 0.42 percent Nb2O5 (Schulz and others, 2017). In comparison, the largest known Nb deposit in the U.S. is the Iron Hill deposit in Colorado, which has been prospected for titanium, Nb, rare earth elements and thorium. There are no current U.S. producers of Nb, but the Elk Creek project in Nebraska is in the furthest stage of development. If Elk Creek comes online, it will be the first recorded producer of Nb in the U.S. since the 1950s. Niobium is necessary for strategic, consumer, and commercial applications. The primary use for Nb is for the production of high strength steel alloys used in pipelines, transportation infrastructure, and structural applications (Schulz and others, 2017). As of 2019, the U.S. maintains a history of being 100 percent net import reliant on Nb from countries, such as Brazil and Canada. Niobium is imported to the U.S. as Nb minerals, oxides, and ferroniobium (U.S. Geological Survey, 2020). The entries and descriptions in the database were derived from published papers, reports, data, and internet documents representing a variety of sources, including geologic and exploration studies described in State, Federal, and industry reports. Resources extracted from older sources might not be compliant with current rules and guidelines in minerals industry standards, such as National Instrument 43-101 (NI 43-101). The inclusion of a Nb mineral deposit in this database is not meant to imply that the deposit is currently economic. Rather, these deposits were included to capture the characteristics of the largest Nb deposits in the United States. Inclusion of material in the database is for descriptive purposes only and does not imply endorsement by the U.S. Government. The authors welcome additional published information in order to continually update and refine this dataset. Schulz, K.J., Piatak, N.M., and Papp, J.F., 2017, Niobium and tantalum, chap. M of Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, p. M1–M34, https://doi.org/10.3133/pp1802M. U.S. Geological Survey, 2020, Mineral commodity summaries 2020: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2020.

  19. m

    Supplementary Materials for Specimens 360 Degree Rotation

    • data.mendeley.com
    Updated Jan 26, 2026
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    Zijin Mei (2026). Supplementary Materials for Specimens 360 Degree Rotation [Dataset]. http://doi.org/10.17632/dbz488m2d7.1
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    Dataset updated
    Jan 26, 2026
    Authors
    Zijin Mei
    License

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

    Description

    Supplementary Materials for Specimens 360 Degree Rotation

  20. e

    INSPIRE-WFS SL Geology of near-surface mineral extraction areas -...

    • data.europa.eu
    + more versions
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    INSPIRE-WFS SL Geology of near-surface mineral extraction areas - Anthropogenic geomorphological feature - OGC WFS Interface [Dataset]. https://data.europa.eu/data/datasets/84c198d3-399f-f4bc-1aaf-665fa13372ec?locale=en
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    inspire download serviceAvailable download formats
    Description

    This service provides data for the INSPIRE topic geology from the near-surface raw material mining areas, the State Office for Environmental and Occupational Health and Safety.:A geomorphological feature (i.e. a terrain shape) created by human activity.

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Polish Geological Institute – National Research Institute (PGI-NRI) (2025). MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland [Dataset]. https://egdi.geology.cz/record/basic/8d47dd6c-ab24-49b3-81db-368e9d7cb716

MIN4EU harmonized dataset - "Minerals Inventory" - service for Poland

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Dataset updated
Jan 22, 2025
Dataset authored and provided by
Polish Geological Institute – National Research Institute (PGI-NRI)
License

Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
License information was derived automatically

Area covered
Description

Under the Act of June 9, 2011, Geological and Mining Law (Journal of Laws No. 163, item 981, as amended) Polish Geological Institute – National Research Institute (PIG-PIB) performs the role of Polish Geological Survey. One of the tasks of PIG-PIB as Geological Survey is to create and maintain geological databases, in this including the system MIDAS (the System of management and protection of mineral resources in Poland – MIDAS). System MIDAS is the primary source of information on mineral resources of Poland, the exploitation of deposits and it is the source of data for the project Mintell4eu. The System contains information on deposits (and its spatial location), raw materials in deposits, raw materials resources and on the raw materials volumes of exploitation. In addition, it also contains data on mining areas and exploatation permits (concessions) as well as their spatial location. The owner of the colected data is the State Treasury represented by the proper minister resposible for geology. The original MIDAS database structure has been modified and adapted to the structure given in Mintell4eu specification.

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