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.

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.

Data for (i) active mine sites and (ii) inactive mine sites are stored are stored as Excel spreadsheets. NB the number of active/inactive mines shown in the spreadsheets is less than that reported in Table S1, because proprietary data sources have not been included (i.e. MRDS, BRITPITS and S&P). Each spreadsheet lists mine names (column A), mine status i.e. active or inactive (column B), the principal commodity mined (column C), and lat/long coordinates (columns D & E). Data for (iii) TSFs and (iv) TDFs are stored as zipped Shapefiles. Data should be uncompressed and then imported into any GIS programme that can read Shapefiles. Modelling was implemented procedurally in MATLAB v9.9.0 (R2020b) with the open source TopoToolbox MATLAB program for the analysis of digital elevation models (https://topotoolbox.wordpress.com). Modelling workflow is presented in SI Figure S8 with example code available in the WAPHA database (Macklin et al code.pdf). Citations to software sources are giv...

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)

This data set covers global extraction and production of coal and metal ores on an individual mine level. It covers
1171 individual mines, 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 sources. 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 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. A schematic depiction of the database is provided as in PNG format in the file database_model.png.

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.

Iowa Coal Mines compiles together information about past mining that was held by the State of Iowa including scanned copies of the mine maps and details about individual mines. The primary intent is to provide information to evaluate potential impacts to the land surface from the historic coal mines, although the data may also be useful for historical and scientific research. Coal was mined in Iowa beginning in the 1840's and ending in 1994. The mines operated in the southern and central areas of the state using both surface and underground methods. Based on available records, it is estimated that over 6,000 individual mines may have operated in Iowa during the state’s 150 year mining history. Approximately 3,000 of these mines can be located to at least one section with about half of those known as points only. The remaining mines leave some information about the area that they operated in. Starting about 1880, the Office of State Mine Inspectors was established to regulate the mining industry to help insure the miners’ safety. One of the requirements enacted at that time was that the mines employing more than four miners would submit detailed mine maps to the State Mine Inspectors every other year. Many of the mines that were exempt from this requirement were very small, local mines that operated to supply a few households. A large number of these mines may not be represented in this database.

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.

Title: Nevada Active Mines and Energy ProducersAuthor: Simon M. Jowitt and Travis D. FisherYear: 2025Series: Open-File Report 2025-01Version: supersedes Open-File Reports 2023-01, 2021-01, 2019-01, 2017-01, 2014-01 (first and second editions), 2010-05, and Map 170Format: 31 x 34.5 inches, colorScale: compilation at 1:1,000,000MINESThe mines shown produced in 2023. Active mining involved extraction from open pits, underground mines, other types of surface activity, and one brine operation. If active mining at these sites had ceased temporarily or permanently, production continued from leach pads, reprocessing old tailings, or stockpiles. The main sources of information for these mines are Major Mines of Nevada 2023 (Ghiglieri and Patterson, 2024) compiled by the Nevada Division of Minerals and NBMG’s The Nevada Mineral Industry 2023 (Jowitt et al., 2024) as outlined in "Overview" (Jowitt, 2024) "Metals" (Jowitt and Fisher, 2024), and "Industrial Minerals" (Micander, 2024) chapters of the overall report. These two reports were largely compiled from annual status and production reports submitted to the Nevada Division of Minerals. The sites generally represent the main open pit or portal location and are accurate for a display scale of 1:1,000,000 or smaller.GEOTHERMAL PRODUCTION SITESGeothermal site locations are from the “Geothermal Energy" section (Richards and Lu, 2024) in NBMG’s The Nevada Mineral Industry 2023 and information provided by the Nevada Division of Minerals.OIL FIELDSOil field locations are from Assessment of the Potential for Carbon Dioxide Sequestration with Enhanced Oil Recovery in Nevada (LaPointe et al., 2007) with updated information provided in 2023 by the Nevada Division of Minerals. Only currently producing oil fields are shown; these are discussed in detail in the "Oil and Gas" section (Reynolds and Micander, 2024) of the 2023 Mineral Industry report. Oil field symbol locations are based on initial discovery well. More detailed information on the oil fields, individual wells, company contact information, and production can be found in Assessment of the Potential for Carbon Dioxide Sequestration with Enhanced Oil Recovery in Nevada (LaPointe et al., 2007), NBMG’s The Nevada Mineral Industry 2023 (Jowitt et al., 2024), Major Mines of Nevada 2023 (Ghiglieri and Patterson, 2024), Petroleum Data Map of Nevada, 2007 (Garside and Hess, 2007), and the NBMG Subsurface Database Explorer interactive map (NBMG et al., 2020).MINING DISTRICTSNevada mining district locations are from NBMG Report 47, Mining Districts of Nevada (Tingley, 1998). The location of the symbol represents the approximate center of the mining district polygon as shown in the original report.Related links:https://nbmg.unr.edu/Geothermal/index.htmlhttps://nbmg.unr.edu/Oil&Gas/index.htmlhttps://nbmg.unr.edu/Mining/index.htmlSuggested citation:Jowitt, S.M., and Fisher, T.D., 2025, Nevada active mines and energy producers: Nevada Bureau of Mines and Geology Open-File Report 2025-01, compilation scale 1:1,000,000.© Copyright 2025 The University of Nevada, Reno. All Rights Reserved.

The point and polygon layers within this geodatabase present the global distribution of selected mineral resource features (deposits, mines, districts, mineral regions) for 22 minerals or mineral commodities considered critical to the economy and security of the United States as of 2017. These data complement the report by Schulz and others (2017) which provides national and global information on 23 critical minerals - antimony (Sb), barite (barium, Ba), beryllium (Be), cobalt (Co), fluorite or fluorspar (fluorine, F), gallium (Ga), germanium (Ge), graphite (carbon, C), hafnium (Hf), indium (In), lithium (Li), manganese (Mn), niobium (Nb), platinum-group elements (PGE), rare-earth elements (REE), rhenium (Re), selenium (Se), tantalum (Ta), tellurium (Te), tin (Sn), titanium (Ti), vanadium (V), and zirconium (Zr) resources. The geospatial locations for deposits containing selenium, which is recovered mainly as a byproduct of other produced mineral commodities, is not included in this geodatabase. These geospatial data and the accompanying report are an update to information published in 1973 in U.S. Geological Survey Professional Paper 820, United States Mineral Resources. For the current and full discussion of the individual critical minerals, their uses, identified resources, national and global distribution, geologic overview, resource assessment, and geoenvironmental considerations see: Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., 2017, Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, 777 p., https://doi.org/10.3133/pp1802

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.

List of mines and quarries in the UK including information about operational status, products, lithostratigraphy, chronostratigraphy, pit and operator addresses, minerals planning authority. Digital data has been sold from the BritPits database, since 1994, this has been customised to suit purchasers. Use is also made of sets of operational workings data by Bureau Services who pay royalties and get updates. Older data on operators tends to be incomplete as it was not recorded. Updating is ongoing to update litho- and chronostrat data. Originally, only details of currently active sites were included in the database but, because of the importance of former workings for waste disposal and as Sites of Special Scientific Interest, information is now collected on both inactive and closed operations. The data is held in a relational database using an Oracle server and a Microsoft Access front-end. The database can be used for many purposes: mailing lists, route planning, market intelligence/analysis, and resource planning, and data has been supplied to a wide range of customers.

Database of location of Active Mines, Disused (post 1950) and historic mines, Historic State Mining facilities, and current State Mining Facilities.

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.

Operational Mineral Resource Mines

Operational mineral resource mines with location and contact details

By Homeland Infrastructure Foundation [source]

About this dataset

The Mines and Mineral Resources dataset provides comprehensive information on operational mines for mineral resources, excluding sand and gravel quarries. It includes detailed data on the location, contact details, and specific characteristics of these mines.

One key aspect of this dataset is that it focuses exclusively on actively operating mines. This ensures that the information is up-to-date and relevant for various stakeholders, including first responders and law enforcement teams.

To facilitate easy access to these mines, each mine's location point has been strategically placed at the intersection between the main haul road within the mine site and the nearest public road. This point serves as a starting point from which it should be straightforward to navigate to the actual mining areas or pits.

The dataset covers an extensive range of attributes related to each mine. These include detailed descriptions of the industry classification using both NAICS (North American Industry Classification System) codes and SIC (Standard Industrial Classification) codes. Additionally, information on security classification highlights any potential security considerations associated with each mine.

Contact details for each mine are provided to ensure efficient communication in case of emergencies or inquiries. These include emergency contact phone numbers along with extension numbers, titles of emergency contact persons, vendor responsible for providing data services related to a particular mine, inspecting officer's name, as well as general phone numbers for contacting the respective mining companies or plants.

Address information comprises complete addresses including additional address details when applicable such as suite or floor numbers. City names are specified along with counties where these mines are located in order to identify their geographical locations more precisely. ZIP codes provide essential postal code references while FIPS (Federal Information Processing Standards) codes offer unique identifiers for each county.

Directions from nearby public roads guide individuals towards accessing specific mines efficiently. This ensures that first responders or visitors can easily reach their intended destinations within these expansive mining areas.

The dataset also includes valuable geospatial data such as latitude (Y) and longitude (X) coordinates, enabling accurate positioning of each mine on a map. The precision level of these geospatial data points is provided to understand the accuracy and reliability of this location information.

Thematic categorization based on the Homeland Security Infrastructure Program offers insights into the specific industry focus or purpose of each mine. This classification allows for better understanding and organization within the dataset.

Additionally, quality control and quality assurance information are provided to convey the reliability and validity of the data. This includes details on how geospatial data was determined (geohow) and recorded dates for both geospatial (geodate) and general contact information (contdate).

Overall,

How to use the dataset

• Understand the Purpose:

  • This dataset includes information on mines believed to be operational, allowing first responders or law enforcement teams to easily locate and access these mines in case of emergencies or other purposes.
  • The dataset focuses on mines related to mineral resources, excluding sand and gravel quarries.

• Column Descriptions:

  • FEATTYPE: The type of feature represented by the data point.
  • SECCLASS: The security classification of the mine.
  • NAME: The name of the mine.
  • AREA_: The area covered by the mine.
  • PHONE: The contact phone number for 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/ZIPP4: The ZIP code/ZIP+4 code of the mine's location COUNTY and FIPS codes provide county-related information for better understanding DIRECTIONS can be useful for reaching a particular destination EMERGTITLE represents emergency contact person's title EMERGPHONE provides emergency contact phone number along with extension (EMERGEXT) CONTHOW specifies how to contact or communicate with a particular entity associated with a specific column value (e.g., MINE_TYPE) &g...

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.

Cobalt, designated a critical mineral by the European Union and the United States, is a crucial component of the lithium-ion batteries found in cell phones, electric vehicles, and personal computing devices. Over half of the world’s cobalt supply is produced in the Democratic Republic of the Congo (DRC), where cobalt is mined in both large-scale and artisanal or small-scale operations. This dataset focuses on Africa’s mineral-rich Copperbelt region, an area mined for both copper and cobalt, that extends south across the DRC boundary into neighboring Zambia. Existing geoscientific data and remote sensing analysis were investigated to build a comprehensive dataset describing cobalt mining extent and technique (large- or artisanal/small-scale). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

This dataset contains primary processing facilities (e.g., smelters and refineries), mines and advanced projects related to Canada’s 34 critical minerals. Advanced projects are those with mineral reserves or resources (measured or indicated), the potential viability of which is supported by a preliminary economic assessment or a prefeasibility/feasibility study. These sites process, produce or consider producing at least one of Canada's critical minerals, but other minerals and metals may also be present. This dataset contains links that direct to non-Government of Canada websites that are not subject to the Privacy Act, the Official Languages Act or the Standard on Web Accessibility. Please see our terms and conditions for more information (https://www.nrcan.gc.ca/terms-and-conditions/10847). Primary processing facilities and mines data are sourced from Map 900A, Principal mineral areas, producing mines, and oil and gas fields in Canada. Data on advanced critical minerals projects are produced and published annually by Natural Resources Canada, in collaboration with provinces and territories. Data are compiled from a variety of public sources. Natural Resources Canada does not assume responsibility for errors or omissions. Please report any recommended revisions.