This dataset includes locations and associated information about mines and mining activity in the contiguous United States. The database was developed by combining publicly available national datasets of mineral mines, uranium mines, and minor and major coal mine activities. This database was developed in 2013, but temporal range of mine data varied dependent on source. Uranium mine information came from the TENORM Uranium Location Database produced by the US Environmental Protection Agency (U.S. EPA) in 2003. Major and minor coal mine information was from the USTRAT (Stratigraphic data related to coal) database 2012, and the mineral mine data came from the USGS Mineral Resource Program.

See also the associated Data Descriptor published in Nature Scientific Data: www.nature.com/articles/s41597-023-01965-y

This data set covers global extraction of coal and metal ores on an individual mine level. It covers 1171 individual mines in 80 different countries, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products, as well as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective source documents. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.

The data set, found in the "data" sub-folder, consists of 12 tables. The table “facilities” contains descriptive and spatial information of mines and processing facilities, and is available as a GeoPackage (GPKG) file. All other tables are available in comma-separated values (CSV) format. If you are working in Excel or have problems handling the GeoPackage file, it can be converted to Excel with an online tool, such as https://mygeodata.cloud/converter/gpkg-to-xlsx.

A schematic depiction of the database is provided in the file database_model.pdf. A description of all variables of all tables is provided in the Excel file variables_descriptions.xlsx, and all materials for which production is reported in the database are listed in the file materials_covered.xlsx.

For convenience, global and national coverage shares for every material and country with recorded production in the database is provided in the file coverage_table.pdf. These coverage shares were calculated by comparing the production values of this database to official production statistics reported in the UNEP IRP Global Material Flows Database, to be found under https://www.resourcepanel.org/global-material-flows-database. For significant raw material producing countries, these coverage shares are also visualised in the file coverage_national_area_charts.pdf.

Lists all Coal and Metal/Non-Metal mines under MSHA's jurisdiction. Including current status of each mine (Active, Abandoned, Nonproducing, etc.), the current owner and operating company, commodity codes and physical attributes of the mine. Mine ID is the unique key for this data. (Includes Abandoned or Abandoned and Sealed Mines)

The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado School of Mines Ransome collection, Mackay School of Mines Stanford and Keck collections, and by the personal collections of Don Bryant and David Leach.

These data we devised and used in the following papersAhmed, A.I., Massam, M.R., Bryant, R.G. and Edwards, D.P., 2025. How much deforestation in sub-Saharan Africa has been caused by mining?. Biological Conservation, 304, p.111040. https://doi.org/10.1016/j.biocon.2025.111040Ahmed, A.I., Bryant, R.G. and Edwards, D.P., 2021. Where are mines located in sub Saharan Africa and how have they expanded overtime?. Land Degradation & Development, 32(1), pp.112-122. 10.1002/ldr.3706The mine database and mine footprint data (an *xlxs file and a zipped *shp file) include a combination of mine data for sub-saharan africa (e.g. location, commodity, mine operator, and active dates) from sources outlined in Ahmed et al., (2021), as well from a process of manual digitising and mapping of mine footprints using high resolution remote sensing data. The methods used to generate this initial suite of information are outlined in Ahmed et al., (2021). A sub-set of these mine locations were used in Ahmed et al. (2025) to study the impacts of these mine operations on deforestation.

Interactive database and visual map of lignite and hard coal mines in Poland. Explore production volumes, methane emissions, closure dates and location of mining sites.

This service presents location, status, and other information regarding mining operations regulated under the Surface Mining and Reclamation Act of 1975 (SMARA) in California. The data presented in this service is reported by mine operators in annual reports provided to the California Department of Conservation Division of Mine Reclamation (DMR) under Public Resources Code section 2207. While DMR attempts to populate Mines Online with accurate map coordinate data, the DMR cannot guarantee the accuracy of operator-reported location information.

Please see the individual layers below to access the detailed metadata.This feature layer contains three datasets:The Mining Boreholes dataset contains GIS points depicting mining boreholes digitized from the U.S. Bureau of Mines (USBM) Illinois Mineral Development Atlas (IMDA) for Jo Daviess County, Illinois. Each point includes a link to a corresponding log (if available). This is one of several datasets complied for the Karst Feature Database of Jo Daviess County, IL and hosted by the U.S. Fish and Wildlife Service.The named mines dataset contains GIS polygons depicting surveyed outlines of known (named) mine diggings from the U.S. Bureau of Mines (USBM) Illinois Mineral Department Atlas (IMDA) for Jo Daviess County, Illinois. This is one of several datasets complied for the Karst Feature Database of Jo Daviess County, IL and hosted by the U.S. Fish and Wildlife Service.The unnamed mines dataset contains GIS polygons depicting unsurveyed inferred outlines of unknown (unnamed) mine diggings from the U.S. Bureau of Mines (USBM) Illinois Mineral Development Atlas (IMDA) for Jo Daviess County, Illinois. This is one of several datasets complied for the Karst Feature Database of Jo Daviess County, IL and hosted by the U.S. Fish and Wildlife Service.

mine database

These data are part of a larger 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, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, 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. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The 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. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

Outlines of areas mined for the Wade Coal in Illinois. Mining in this seam ceased ca. 1940. This information was extracted from detailed coal mine data stored in the ISGS Coal Section library database. Lines delineate the approximate outer boundary of individual mines (if known) or general mined areas. Interior mine boundaries such as pillars or small blocks of unmined coal are commonly not depicted. Outlines have been compiled from a variety of sources. Outlines of areas mined before 1987 are commonly from source maps at scales of 1:62,500 or smaller. Outlines of areas mined since 1987 are commonly digitized at scales ranging from 1:4800 to 1:12,000. Mines whose extent is not known or which only mined a few acres are not included in this coverage. Additional information is available from the Coal Section of the Illinois State Geological Survey. Mine outlines from completed Coal Mine Quadrangle Studies were included in this feature class if applicable. An ongoing study, the detailed Coal Mine Quadrangle maps depict the best-known position of mine boundaries with respect to individual properties as located on a USGS topographic map image base. For a list of completed quadrangles please visit the ISGS Coal Section website or contact the Coal Section. This datafile was compiled and updated in 2014 in order to provide a current, state-wide data set showing surface and underground coal mines of the Wade Coal. Due to the wide range of source map scales, these data are suitable for regional applications only at the 1:100,000 scale or smaller.

Generates reports on mine's ownership, inspections, accidents, violations, VPID, POV, and Health Samples history. 20 various flat files, uploaded every Friday, are under section Explore MSHA Datasets.

Mineral Resource Mines Directory

Operational Mineral Resource Mines Directory

By Homeland Infrastructure Foundation [source]

About this dataset

This dataset provides comprehensive information on operational mineral resource mines, specifically excluding sand and gravel quarries. It offers valuable insights into the locations of these mines, along with detailed data about emergency contact details, directions, and other relevant information.

The dataset covers a wide range of attributes related to the mines, including their feature type and security classification. The names of the mines are also provided, along with their respective areas. Contact information such as phone numbers and addresses can be found for each mine, including additional address details if applicable.

Furthermore, the dataset includes vital geographic information such as cities, states, ZIP codes (including ZIP+4 codes), counties, FIPS codes, directions to the mine's location using text descriptions or maps. Additionally , it reveals important emergency contact details like emergency contact titles and phone numbers.

Information on when contacts were made with each mine is available through contact dates and contact methods used. The geographic precision is also mentioned specifically in relation to locating each mine accurately.

The dataset further classifies mines according to themes set by the Homeland Security Infrastructure Program (HSIPTHEMES). Moreover,the North American Industry Classification System (NAICS) codes help identify specific industry classifications for each mine.

Precise longitude and latitude coordinates enable accurate mapping of each mine's location. Vendor data sources are identified alongside versioning information related to the dataset's content quality control/quality assurance processes qualified under QC_QA classification.

Inspection officers assigned to oversee mining operations are also included as part of this comprehensive database supporting overall security measures employed within mining sites. The Standard Industrial Classification (SIC) code designated for each site provides further clarity regarding its categorization within a specific industrial context.

Lastly,certain textual data sets provide canvass insights pertinentlty defined through Naicsdesrc correlatively providing description based granularity into various types of industries within which these miines operate dynamics chord progressed while embarking onto interphase where industry operates including MINE_TYPE as descriptive horizon including Security Classification visualizes the nature of the Master Miner Site.

The dataset includes data at various geographic levels, such as city, county, state FIPS codes (a standardized coding system for identifying counties in the United States), and multiple subunit numbers that further refine information about specific sections or units within each mine

How to use the dataset

Understanding the Columns

Before exploring the dataset, it's essential to understand the meaning of each column. Here are some key columns to note:

• FEATTYPE: The type of feature or resource mine.
• SECCLASS: The security classification of the mine.
• NAME: The name of the mine.
• AREA_: The area of the mine in numeric format.
• PHONE: The phone number of the mine.
• ADDRESS: The address of the mine.
• ADDRESS2: Additional address information for the mine.
• CITY: The city where the mine is located.
• STATE: The state where the mine is located.
• ZIP: The ZIP code of the mine's location.

• ZIPP4: The ZIP+4 code ofthe minse's location − COUNTY: The county where the mine is located − FIPS: The FIPS code (Federal Information Processing Standards) offor need country_code? − DIRECTIONS: : Directions for findingi tthepmiklet tonatiof ntheG eominformationr m concerns ieinstruction to get there adequately dierscibd by GPS − EMERGTITLE : .Themergency contact title forinounforeseen r emergency situatisononts

  yo gather Relevant dataTo will analyze gather these relevant columns that best fit your research needs tf When extracting data from this dataset using programming languages like Python or Rithcoon try xensuring collect extracteTheserengageyousr directlyebased on these columns, as they cover essential details about the mines, such as their location, contact information,pempany names, and more. The dataset also includes additional subunit information for each mine.

  Discovering Key Insights

• What are the different types of features or resource mines? ...

Sediment hosted gold deposits in Nevada were first mined in the 1960s from open pit mines with large tonnage and low grade resources. Since that time, continuing exploration and discovery have identified extraordinary resources, and together these deposits now form the second-largest gold endowment on Earth, surpassed only by the Witwatersrand Gold Fields of South Africa. The data herein 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. The point and polygon layers within this database represent locations of mines, mineral occurrences (which includes deposits and prospects), and mining districts in an approximately 200-square mile area northwest of Carlin, Nevada. Tables contain additional information such as commodity, geology, deposit types, activity status, deposit resources, and mine production. The extent of surface workings, when visible on imagery, is also captured and shows the relative size of mining operations. All data were compiled from publicly available sources published from 1910 - 2017. Where possible, data were compiled from primary source reports rather than from syntheses of past reports. Although the selected area does not include the entire Carlin Trend, the area, which covers nine 7.5-minute quadrangles, does contain a wide range of deposit types described through a variety of public data and information. These data are being compiled by the USGS Mineral Deposit Database project with support from the Bureau of Land Management.

This map shows the NC Mining Permits which includes the Pending, Active, Inactive, Release, and Revoked Mining permits in North Carolina. There is additional information within the dataset that includes commodity type, and permitted acres. Each permit is labeled with the permittee and the name of the mine.List of Layers:NC Mining PermitsContacts:Data and Map Contact: Adam Parr (adam.parr@ncdenr.gov)Data is maintained by North Carolina Department of Environmental Quality, Division of Energy, Mineral and Land Resources, Mining Program.

These data identify and provide information on surface and underground coal mines in the United States in 2023. The attribute data for this point dataset come from the U.S. Energy Information Administration, Form EIA-7A, Coal Production and Preparation Report and the U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, Quarterly Mine Employment and Coal Production Report. It includes operating surface and underground coal mines in the United States. Additional coal mine data can be found on EIA Coal Data Browser

This database contains key information on areas in the Czech Republic, where underground mining or mineral exploration were undertaken in the past. It provides warnings about areas where subsidence or other hazards may occur due to the presence of underground spaces.

Abandoned railroads and infrastructure from the anthracite coal mining industry are significant features in abandoned mine lands and are an important part of history; however, these features are often lost and masked by the passage of time and the regrowth of forests. The application of modern light detection and ranging (lidar) topographic analysis, combined with ground-truthing "boots on the ground" mapping, enable recovery of the location of these historical features. Waste rock piles and abandoned mine lands from historical mining locally appear as distinct features on the landscape depicted on the percent slope map. Abandoned, and in many places demolished, infrastructure such as breakers, turntables, rail beds, water tanks, tram piers, and bridge abutments, to name a few, were confirmed in the field and located with a global positioning system (GPS) receiver. This map captures the locations of many of the abandoned features from the coal mining industry near Forest City, Pennsylvania, and preserves a time that was an important part of the industrial revolution and a way of life that has been quiet for over half a century. The data layers should be used in conjunction with lidar data available separately at https://www.pasda.psu.edu.

COAL_MINE_ENTRIES_DNR_IN.SHP contains the entrance locations of all documented underground coal mine entrances that have operated in the coal region of Indiana since the mid-1880s, up to December 31, 2016. COAL_MINE_ENTRIES_DNR_IN.SHP is attributed to allow the mine entrances to be differentiated based on entrance type (hoist shaft, other shafts, slope, unknown), depth, mine number, and source information (map number). The following is excerpted from the metadata provided by IDNR, Division of Reclamation, for the source point feature class named "COAL_ENTRY_GEOREF": "Coal_Mine_Entries_DNR_IN is a compilation of all documented underground coal mine entrances in Indiana. Coal_Mine_Entries_DNR_IN was compiled by the Indiana Geological Survey (IGS) as part of a contract deliverable for the Abandoned Mine Lands program of the Indiana Department of Natural Resources, Division of Reclamation. Coal_Mine_Entries_DNR_IN incorporates mine entrance locations compiled as part of the Indiana Coal Mine Information System (CMIS), an integrated geographic information system (GIS) and database management system (DBMS) created to store, analyze, and help distribute coal mine data in Indiana. The system contains data for surface and underground coal mines that operated in Indiana from the mid-1830s to 2007. Original source information for Coal_Mine_Entries_DNR_IN includes company mine maps, field maps and notes of IGS geologists, IGS publications, and Reports of the Indiana State Mine Inspector. All mine data included in Coal_Mine_Entries_DNR_IN are organized in a GIS using ESRI ArcGIS software of the Environmental Systems Research Institute (ESRI) on the Windows platform. Scale of source data ranges from 1:4,800 to 1:100,000."

Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset contains spreadsheets summarising the location (co-ordinates), status (operating, historical, proposed etc) and type (open cut/underground) as well as other details of coal mines in the Hunter subregion. Also contained is a geodatabase of point feature classes derived from the spreadsheet data, The data was compiled by the BA Programme from the Ozmin database and Register of Australian Mining 2013 - 2014. ## Purpose Summarises coal mine activity in the Hunter subregion and presents data in a form suitable for the production of report maps ## Dataset History Mine data was collated from source datasets by Bioregional Assessment Programme and summarized in an excel spreadsheet. Data included co-ordinates of mine locations which were used to produced create the spatial dataset of mine locations to enable mapping of mine locations. ## Dataset Citation Bioregional Assessment Programme (2015) HUN coal mines and deposits 20150330. Bioregional Assessment Derived Dataset. Viewed 07 June 2018, http://data.bioregionalassessments.gov.au/dataset/869d2b0b-97b5-4603-8484-549239ae0420. ## Dataset Ancestors * Derived From Operating Mines OZMIN Geoscience Australia 20150201 * Derived From Register of Australian Mining 2013-2014.