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.

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 point and polygon layers within this geodatabase represent locations of mineral occurrences, mines, mining and mineral districts and sites of active mineral exploration within or near the Department of the Interior (DOI) Sagebrush Focal Areas in Montana, Wyoming and Utah, central Idaho, and the Oregon-Nevada-Idaho border area. The data were compiled by the U.S. Geological Survey (USGS) Mineral Deposit Database project (USMIN) to provide mineral resource information for use in the USGS Sagebrush Mineral Resource Assessment (SaMiRA). This assessment was conducted for the Bureau of Land Management (BLM) and evaluated the mineral resource potential of approximately 10 million acres of Federal lands identified as areas of high-quality sagebrush habitat. The spatial extent of the USMIN mineral resource data includes BLM lands proposed for withdrawal from mineral entry as well as a 25 km buffer beyond the Public Land Survey System (PLSS) townships containing these areas. This extent allowed for a thorough examination of the data and assured that any significant mineral occurrence, mine, or exploration area within or adjacent to BLM’s proposed withdrawal areas was considered in the mineral resource assessment. The mineral resource data were compiled as GIS layers including: 1) mine symbols shown on USGS topographic maps; 2) mine sites; 3) active mineral exploration sites; 4) mineral occurrences; 5) mining and mineral districts; and 6) production and resource data for mines and mineral deposits. A full discussion of the compilation methodology and sources used to develop the mineral resource data is available in the section 'USMIN Project Mineral-Resource Data for the USGS SaMiRA Project' in the accompanying report: Day, W.C., Hammarstrom, J.M., Zientek, M.L., and Frost, T.P., eds., 2016, Overview with methods and procedures of the U.S. Geological Survey mineral-resource assessment of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming: U.S. Geological Survey Scientific Investigations Report 2016-5089-A, 211 p., http://dx.doi.org/10.3133/sir20165089A.

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 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 400,000-plus point and polygon mine symbols from approximately 51,000 maps of 17 western states (AZ, CA, CO, ID, KS, MT, ND, NE, NM, NV, OK, OR, SD, UT, WA, WY an ...

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

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.

Citation: Horton, John D., and San Juan, Carma A., 2019, Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 4.0, November 2019): U.S. Geological Survey data release, https://doi.org/10.5066/F78W3CHG.Version 4.0 of 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 637,000-plus point and polygon mine symbols from approximately 88,000 maps across 35 states has been completed: Alabama (AL), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Florida (FL), Georgia (GA), Idaho (ID), Iowa (IA), Illinois (IL), Indiana (IN), Kansas (KS), Kentucky (KY), Louisiana (LA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), North Carolina (NC), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Ohio (OH), Oregon (OR), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Washington (WA), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate 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. Datasets were developed by the U.S. Geological Survey Geology, Geophysics, and Geochemistry Science Center (GGGSC). Compilation work was completed by USGS student contractors: Germán Schmeda, Patrick C. Scott, William Gnesda, Margaret Hammond, Tyler Reyes, Morgan Mullins, Thomas Carroll, Margaret Brantley, and Logan Barrett; and by USGS personnel Damon Bickerstaff, Stuart A. Giles and E.G. Boyce. First release: August 4, 2016 Revised: December 1, 2017 (ver. 1.0) Revised: April 30, 2018 (ver. 2.0) Revised: April 10, 2019 (ver. 3.0) Revised: November 25, 2019 (ver.4.0)

This is version 2.0 of Tungsten Deposits in the United States. This data release (https://doi.org/10.5066/P97NJLI4) provides the descriptions of approximately 100 U.S. sites that include mineral regions, mineral occurrences (deposits), and mine features that contain enrichments of tungsten (W). This data release reports on U.S. mines and deposits with greater than or equal to 215 metric tons of tungsten metal (30,000 short ton units of tungsten trioxide). Sites in this database occur in Alaska, Arizona, California, Colorado, Idaho, Montana, North Carolina, New Mexico, Nevada, Texas, Utah and Washington.

As a part of the process set forth by Executive Order 13817, the USGS National Minerals Information Center (NMIC) identified W as a critical mineral due to the import reliance and importance in the sectors of aerospace, defense, energy, and telecommunications (Department of the Interior, 2018; Fortier and others, 2018). Tungsten is necessary for strategic, consumer, and commercial applications. Due to its strength, hardness, and high melting and boiling points, W is used in wear-resistant applications, specialty steel and alloys, and electrical and chemical products. Tungsten minerals were an important part of the United States’ industrialization efforts and the domestic mining picture for a majority of the 20th century. Despite reduced domestic production, the need for W minerals and their downstream components remains high. As of 2020, the United States had a net import reliance of more than 50 percent for W, where the commodity is primarily being imported from China, Bolivia, Germany, and Spain (U.S. Geological Survey, 2020).

Tungsten mineralogy is diverse; it occurs in a variety of minerals with the most common being scheelite, ferberite, and hübnerite. In the United States, W ore is most commonly derived from skarns, veins, and porphyry mineral deposits.

The entries and descriptions in the database are 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. Resource information 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 particular W mineral deposit in this database is not meant to imply that the deposit is currently economic. Rather, these deposits are included to capture the characteristics of the larger W 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.

Department of the Interior, 2018, Final list of critical minerals 2018: Federal Register, v. 83, no. 97, p. 23295-23296, https://www.federalregister.gov/d/2018-10667.

Fortier, S.M., Nassar, N.T., Lederer, G.W., Brainard, J., Gambogi, J., and McCullough, E.A., 2018, Draft critical mineral list—Summary of methodology and background information—U.S. Geological Survey technical input document in response to Secretarial Order No. 3359: U.S. Geological Survey Open-File Report 2018-1021, 15 p., https://doi.org/10.3133/ofr20181021.

U.S. Geological Survey, 2020, Mineral commodity summaries 2020: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2020.

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

These data, modified from Horton and San Juan (2016), are a consolidation of point and polygon features representing mine and prospect-related symbols shown on U.S. Geological Survey (USGS) 7.5- and 15-minute topographic maps from the Historical Topographic Map Collection (HTMC). This consolidation supports more accurate counts of mine features represented in the database, which are needed to address USGS Mineral Resources Program research related to mining and exploration in the United States. This research may include making estimates of the number of abandoned mines with physical or environmental hazards or estimating the number of mine waste sites that potentially have recyclable minerals of value. The three point and three polygon feature layers representing mine symbols acquired from three primary map scales in Horton and San Juan (2016) are merged into one point and one polygon layer with duplicate points and overlapping polygons removed where that removal can be practicall ...

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.

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

Comprehensive dataset containing 1,404 verified Mine businesses in United States with complete contact information, ratings, reviews, and location data.

This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for Gabon and Mauritania, (5) undiscovered mineral resource tracts for potash, platinum-group elements, and copper, (6) coal occurrence areas, (7) electric po ...

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

The Midcontinent Rift System (MRS) of North America is one of the world’s largest continental rifts and has an age of 1.1 Ga (giga-annum). The MRS hosts a diverse suite of magmatic and hydrothermal mineral deposits in the Lake Superior region where rift rocks are exposed at or near the surface. As part of the construction of a database summarizing information on mineral deposits in the MRS, data from regional mineral deposits were downloaded from the U.S. Geological Survey (USGS) Mineral Resources Data System (MRDS), the USGS Mineral Deposit Database (USMIN), and the Ontario Ministry of Energy, Northern Development and Mines Mineral Deposit Inventory (MDI). Deposits related to MRS rocks or mineralizing events were identified and compiled into a database to develop a space/time classification for MRS-related mineral deposits.

From the site: "Mine plants and operations for commodities monitored by the National Minerals Information Center of the USGS. Operations included are those considered active in 2003 and surveyed by the USGS."

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 en ...

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? ...