1. Mineral Resources
  2. Online Spatial Data
  3. Earth MRI
  4. Data acquisition

Data acquisition projects funded by Earth Mapping Resources Initiative

Metadata also available as - [Outline] - [Parseable text] - [XML]

Frequently anticipated questions:

What does this data set describe?

Title:
Data acquisition projects funded by Earth Mapping Resources Initiative
Abstract:
This dataset contains polygons delineating study areas of scientific projects funded by the Earth Mapping Resource Initiative (Earth MRI). Earth MRI is a partnership between state geological surveys and the U.S. Geological survey to acquire new geologic maps, geophysical surveys, lidar data, 3D geological models, geochemistry, mine-waste and hyperspectral data to better understand the fundamental geologic framework of areas across the Nation with potential for hosting critical mineral resources. For each study, these data include a description of goals, project contact information and organizational affiliation, dates, and topical and geographic category keywords. Each completed project includes an online linkage to the results of the study.
Supplemental_Information:
Project abstracts and complete topical and geographic keywords are provided in CSV files separate from the shapefile. The abstracts are joined one-to-one with projects using the value of the pid field. The keywords are joined one-to-many using the pid field as well.
  1. How might this data set be cited?
    U.S. Geological Survey, 202306, Data acquisition projects funded by Earth Mapping Resources Initiative: U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details:
    Suggested citation: U.S. Geological Survey, 2020, Data acquisition projects funded by Earth Mapping Resources Initiative (ver. 9.0, September 2023), https://ngmdb.usgs.gov/emri/.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -166.259
    East_Bounding_Coordinate: -65.354
    North_Bounding_Coordinate: 66.009
    South_Bounding_Coordinate: 17.780
  3. What does it look like?
    https://mrdata.usgs.gov/earthmri/data-acquisition/acquisition-browse.png (PNG)
    Screenshot of map interface depicting these data, 1143x770 pixels, 640k bytes.
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: Sep-2023
    Currentness_Reference:
    Date of last revision of the project characteristics.
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: map
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • G-Polygon (147)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in decimal degrees. The horizontal datum used is World Geodetic System 1984.
      The ellipsoid used is WGS 84.
      The semi-major axis of the ellipsoid used is 6378137.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    EarthMRIAcquisitionsV_9_0.dbf
    Shapefile attribute table, does not include complete keyword list. (Source: This release)
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50001
    pname
    Project name or contracted name of the data collection, text. (Source: This release.) Descriptive text, not abbreviated.
    yearstart
    Year the project was officially begun. (Source: This release.)
    Range of values
    Minimum:2018
    Maximum:2023
    Units:year
    yearend
    Year the project was officially completed and data delivered to USGS for public release. Null if project is not yet completed. (Source: This release.)
    Range of values
    Minimum:2019
    Maximum:2023
    Units:year
    program
    General category of Earth MRI data acquisition, Geologic mapping, Geophysics, Lidar, Geochemistry, Mine waste, or Hyperspectral. (Source: This release.)
    ValueDefinition
    Geologic mappingCreation of maps depicting geological characteristics of the earth's surface, including lithology, geologic structure, age, and the results of crustal processes.
    GeophysicsAirborne geophysical surveying, including measurement of magnetic anomalies, gamma ray emissions, gravity anomalies, and gravity gradient anomalies, and more detailed electromagnetic measurements of the area under the flight lines.
    LidarLight detection and ranging, an airborne, spaceborne or ground-based laser-ranging technique commonly used for acquiring high-resolution topographic data.
    GeochemistryChemical techniques used to identify the composition of rocks and unconsolidated deposits supporting geochemical reconnaissance surveys or geologic mapping.
    Reconnaissance geochemistryChemical techniques used to identify the composition of rocks and unconsolidated deposits supporting geochemical reconnaissance surveys.
    3D geological model3D geological model developed from geophysical, geochemistry, lidar and subsurface (borehole) data complementing geologic mapping.
    Mine wasteMine waste analysis products to determine the potential of mine features to host critical minerals developed from geochemical analysis of mine waste samples (rock and water).
    HyperspectralHyperspectral data collected with the NASA AVIRIS (Airborne Visible InfraRed Imaging Spectrometer) sensors and one of several thermal infrared (TIR) sensors (e.g., NASA’s HyTES and/or MASTER instruments) to produce derived mineral maps and other derivative data to aid in geologic mapping and mine waste sampling efforts.
    affiliatio
    Organization carrying out the project. (Source: This release.) Names, may include abbreviations.
    cname
    Contact name for the project. (Source: This release.) Personal name
    cmail
    Contact email address for the project. (Source: This release.) Includes user and email domain name.
    website
    Web address of the organization carrying out the work. (Source: This release.) URL in typical web format.
    pdata
    Web address from which data generated by the project may be obtained. Null if project is not yet completed. (Source: This release.) URL in typical web format.
    pdatagchem
    Web address from which geochemistry data supporting geologic mapping generated by the project may be obtained. Null if project is not yet completed. (Source: This release.) URL in typical web format.
    papprox
    Flag indicating the study area boundary is approximate and has been generalized to improve the presentation of the boundary. There may be greater distance than described in this metadata record between the boundary and the observations collected by the study. (Source: This release.)
    ValueDefinition
    YThis area has been generalized.
    NThis area has not been generalized.
    provisionl
    Flag indicating proposed area of interest if provisional and subject to revision. It is provided to meet the need for timely best science. The final outline of the area of interest will be posted upon completion of the planning and contracting process. (Source: This release.)
    ValueDefinition
    YThis area is provisional.
    NThis area is not provisional.
    alias
    Full descriptive project name, text. (Source: This release.) Descriptive text, not abbreviated.
    keywords.csv
    Table of keywords associated with data acquisition projects. (Source: This release.)
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50001
    thesaurus
    Identifier of the thesaurus from which the term is drawn. (Source: This release.)
    ValueDefinition
    0Non-controlled vocabulary. Zero indicates the term was not drawn from a controlled vocabulary provided by the USGS vocabulary services.
    1Common Geographic Areas, a formal thesaurus containing countries, states, counties, map quadrangles, hydrologic units, and their interrelationships.
    2USGS Thesaurus, a formal thesaurus containing scientific disciplines, topics, methods of data acquisition and processing, product types, and other related concepts.
    3Alexandria Digital Library Feature Type Thesaurus, a formal thesaurus containing types of named geographical features.
    4Lithologic classification of geologic map units, version 6.2, a formal thesaurus of general lithologic terms.
    code
    Unique identifier of the term within the thesaurus. NULL if the term is non-controlled. (Source: This release.)
    Formal codeset
    Codeset Name:Term identifiers for Common Geographic Areas
    Codeset Source:https://apps.usgs.gov/thesaurus/cga/
    Formal codeset
    Codeset Name:Term identifiers for USGS Thesaurus
    Codeset Source:https://apps.usgs.gov/thesaurus/
    Formal codeset
    Codeset Name:Term identifiers for Alexandria Digital Library Feature Type Thesaurus
    Codeset Source:https://apps.usgs.gov/thesaurus/
    Formal codeset
    Codeset Name:Term identifiers for Lithologic classification of geologic map units version 6.2.
    Codeset Source:https://apps.usgs.gov/thesaurus/
    term
    Text of the keyword. (Source: This release.) Text of the term as known to the thesaurus. For non-controlled terms, text of the term as provided by the USGS compilers of this dataset.
    description.csv
    Table of abstracts. The text of the abstracts is longer than can fit in EarthMRIAcquisitionsV_9_0.dbf due to limitations of the dBase file format. (Source: This release.)
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50003
    pdescrip
    Short description of the project. (Source: This release.) Descriptive text, not abbreviated.
    abstract
    Abstract describing the work in more detail. (Source: This release.) Descriptive text, not abbreviated.
    pkeyword
    Keywords drawn from the USGS Thesaurus. (Source: This release.)
    Formal codeset
    Codeset Name:USGS Thesaurus
    Codeset Source:https://apps.usgs.gov/thesaurus/
    program.csv
    Table relating projects to scientific data theme, drawn from project:program, because projects may now address more than one of the themes. (Source: This release.)
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50003
    program
    General category of Earth MRI data acquisition, Geologic mapping, Geophysics, Lidar, or Geochemistry. (Source: This release.)
    ValueDefinition
    Geologic mappingCreation of maps depicting geological characteristics of the earth's surface, including lithology, geologic structure, age, and the results of crustal processes.
    GeophysicsAirborne geophysical surveying, including measurement of magnetic anomalies, gamma ray emissions, gravity anomalies, and gravity gradient anomalies, and more detailed electromagnetic measurements of the area under the flight lines.
    LidarLight detection and ranging, an airborne, spaceborne or ground-based laser-ranging technique commonly used for acquiring high-resolution topographic data.
    GeochemistryChemical techniques used to identify the composition of rocks and unconsolidated deposits supporting geochemical reconnaissance surveys or geologic mapping.
    Reconnaissance geochemistryChemical techniques used to identify the composition of rocks and unconsolidated deposits supporting geochemical reconnaissance surveys.
    3D geological model3D geological model developed from geophysical, geochemistry, lidar and subsurface (borehole) data complementing geologic mapping.
    Mine wasteMine waste analysis products to determine the potential of mine features to host critical minerals developed from geochemical analysis of mine waste samples (rock and water).
    HyperspectralHyperspectral data collected with the NASA AVIRIS (Airborne Visible InfraRed Imaging Spectrometer) sensors and one of several thermal infrared (TIR) sensors (e.g., NASA’s HyTES and/or MASTER instruments) to produce derived mineral maps and other derivative data to aid in geologic mapping and mine waste sampling efforts.
    project_contact.csv
    Table relating projects to contacts, referencing the separate table contact.csv, because projects may now have more than one contact. (Source: This release.)
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50003
    cid
    Unique identifier of the contact in the table contact.csv. (Source: This release.)
    Range of values
    Minimum:1
    Maximum:165
    contact.csv
    Table of project contacts. Each project may have multiple contacts, each contact may be associated with multiple projects. (Source: This release.)
    cid
    Unique identifier of the contact in the table. (Source: This release.)
    Range of values
    Minimum:75
    Maximum:170
    cname
    Contact name for the project. (Source: This release.) Personal name
    cmail
    Contact email address for the project. (Source: This release.) Includes user and email domain name.
    pubs.csv
    Table of public information pertinent to projects, produced and made available by organizations that are in partnership with USGS through Earth MRI. (Source: This release.)
    id
    Unique identifier of the table row. (Source: This release.)
    Range of values
    Minimum:1
    Maximum:24
    pid
    Unique identifier of the project as known to the program managers, an integer. (Source: This release.)
    Range of values
    Minimum:1001
    Maximum:50003
    affiliatio
    Organization making the product available to the public. (Source: This release.) Names, may include abbreviations.
    poc
    Point of contact (Source: This release.) Personal name.
    pocemail
    Contact email (Source: This release.) Standard email address.
    pubtype
    General type of publication or presentation. (Source: This release.) Open file; Poster; Data release; Article; Web application
    citation
    Bibliographic reference for the publication. (Source: This release.) Plain text following conventions as much as is practical.
    website
    Web address of the publication or presentation. (Source: This release.) Standard URL.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
    Michaela R. Johnson (USGS), David R. Soller (USGS), Christopher Garrity (USGS), Peter N. Schweitzer (USGS), Connie L. Dicken (USGS), and John Fisher (USGS).

    Content was contributed to this compilation by: USGS: Griffin Moyer, Liz Huselid, Rob Dollison, Diana Thunen, Anne McCafferty, Anjana Shah, Mark Bultman, Ben Drenth, Dave Ponce, Drew Siler, George Case, Lydia Staisch, Dylan Connell, Rick Blakely, Lyndsay Ball, Paul Bedrosian, Jonathan Glen, Brian Hadley, Geoffrey Phelps, Eric Anderson, Raymond Kokaly, Bernard Hubbard, and Todd Hoefen. AK DGGS: Melanie Werdon and Abraham Emond.
  3. To whom should users address questions about the data?
    David R Soller
    U.S. Geological Survey: National Cooperative Geologic Mapping Program
    Geologist
    Mail Stop 908
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6907 (voice)
    703-648-6977 (FAX)
    drsoller@usgs.gov

Why was the data set created?

The data are intended to support these uses: show the nature and scope of scientific studies carried out using funds of the Earth MRI so that the effectiveness and value of those expenditures can be assessed; enable scientific researchers to determine what work is in progress so that they can plan to make effective use of the results generated by the studies when they become available; enable managers of scientific organizations to determine the locations where additional scientific work will be needed so that they can develop proposals to carry out studies that supplement and follow up on the work described here. Accordingly, the geographic information is provided with accuracy and resolution less than a kilometer of mapping or geophysical survey boundaries. Criteria for lidar survey boundaries are less clear. Details of project dates are as provided during the proposal process, and dates are given to the nearest year.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2019 (process 1 of 29)
    For geophysical studies, the boundaries were developed by USGS geophysicists or in collaboration with state geologists to best capture the geologic setting of possible critical minerals based on depth to potential resource being studied, topography, financial limitations on the size of survey and geologic data. Each geophysicist point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined. Person who carried out this activity:
    Michaela R Johnson
    U.S. Geological Survey: Core Science Systems
    Physical Scientist
    1 Denver Federal Center
    Bldg 810 MS 975
    Denver, CO
    USA

    303-202-4852 (voice)
    mrjohns@usgs.gov
    Date: 2019 (process 2 of 29)
    For geologic mapping studies, the boundaries were developed by USGS geologists in collaboration with state geologists to best capture the geologic setting of possible critical minerals based on the regional geology, mineral resource information available, and financial limitations on the size of the area to be mapped. Each geologic point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined. Person who carried out this activity:
    David R Soller
    U.S. Geological Survey CORE SCIENCE SYSTEMS
    Geologist
    Mail Stop 908
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6907 (voice)
    703-648-6977 (FAX)
    drsoller@usgs.gov
    Date: 2019 (process 3 of 29)
    For lidar studies, the boundaries were developed by the USGS National Geospatial Program (NGP), 3D Elevation Program (3DEP) staff in close collaboration with Federal, State, and local partners either through Federal Partnerships or through the Broad Agency Announcement (BAA) process. The BAA provides detailed information on how to partner with the USGS and other Federal agencies to acquire high-quality 3D Elevation data.  Applicants may contribute funds toward a USGS lidar data acquisition activity via the Geospatial Products and Services Contracts (GPSC) or they may request 3DEP funds toward a lidar data acquisition activity where the requesting partner is the acquiring authority. Federal agencies, state and local governments, tribes, academic institutions and the private sector are eligible to submit proposals. Each agency and non-federal partner point of contact prepared their boundary as a shapefile and iteratively refined the area based on the partnerships criteria until the planned boundary was defined. Proposals were submitted through the BAA for awards based on the proposals ability to help complete blanket collection of the US and the best return on investment for 3DEP and its partners. Federal partnership projects were developed in collaboration through the interagency Federal 3DEP Working Group.
    Date: 2019 (process 4 of 29)
    For geochemistry studies supporting geologic mapping, the boundaries established were the same as the geologic mapping boundaries. These were developed by USGS geologists in collaboration with state geologists to best capture the geologic setting of possible critical minerals based on the regional geology, mineral resource information available, and financial limitations on the size of the area to be mapped. Each geologic point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined.
    Date: 2020 (process 5 of 29)
    Keywords drawn from USGS Thesaurus, Alexandria Digital Library Feature Type Thesaurus, Lithologic classification of geologic map units version 6.2, and Common Geographic Areas were assigned by a single person to each study. These controlled vocabularies may be found at https://apps.usgs.gov/thesaurus/ Person who carried out this activity:
    Peter N Schweitzer
    U.S. Geological Survey: NORTHEAST REGION: EASTERN MINERAL & ENVIRON RES SC
    Geologist
    Mail Stop 954
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6533 (voice)
    703-648-6252 (FAX)
    pschweitzer@usgs.gov
    Date: 2020 (process 6 of 29)
    For geochemistry reconnaissance studies, the boundaries established were developed by USGS geologists in collaboration with state geologists to best capture the geologic setting of possible critical minerals based on the regional geology, mineral resource information available, and financial limitations on the size of the area to be mapped. Each reconnaissance geochemistry point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined.
    Date: Jul-2020 (process 7 of 29)
    Draft versions of FY20 planned acquisition areas were submitted from each Program and added to the Earth MRI acquisition area dataset and application. These areas are subject to change during the planning process and will be updated when finalized.
    Date: 05-Nov-2020 (process 8 of 29)
    26 new study areas were included, topical and place keywords assigned. The same processes were used to define these new geological, geophysical, lidar, and geochemistry survey areas.
    Date: 16-Nov-2020 (process 9 of 29)
    4 new FY 2021 geophysical preliminary study areas were included, topical and place keywords assigned.
    Date: 15-Aug-2021 (process 10 of 29)
    Draft versions of FY21 planned acquisition areas were submitted. These areas are subject to change during the planning process and will be updated when finalized. The database structure was revised to reduce duplication and incorporate a new program, 3D geological model. The programs were modified from 4 categories (geologic mapping, geophysics, lidar, and geochemistry) to 5 (geologic mapping, geophysics, lidar, reconnaissance geochemistry, and 3D geological model). Where geologic mapping had a duplicate geochemistry polygon these were combined and are now represented together.
    Date: 13-Oct-2021 (process 11 of 29)
    22 new study areas were included (18 + 4 existing geophysical survey areas), topical and place keywords assigned. The same processes were used to define these new geological, geophysical, lidar, 3D geological models, and reconnaissance geochemistry survey areas.
    Date: 11-Mar-2022 (process 12 of 29)
    12 new geophysical preliminary study areas were included with topical and place keywords assigned. The same processes were used to define these new geophysical survey areas. 2 geometry updates for pids 1012 and 1019 were included. 2 surveys (pids 1001 and 1018) were combined into 1001 for a single geometry with a description update. 10003 geometry was updated for the lidar survey boundary. Two geophysical surveys were published in Alaska for pids 1013 and 1022.
    Date: 19-Aug-2022 (process 13 of 29)
    1 geophysical survey area was added with topical and place keywords assigned (1035). 13 geophysical preliminary survey areas were updated with changes in survey geometry and survey name (1016, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034). Four of the 12 preliminary study areas added 20220311 are now under contract and the provisional status was removed (1023, 1027, 1033, 1034). The same processes were used to refine these geophysical survey areas.
    Date: 19-Aug-2022 (process 14 of 29)
    7 new lidar survey areas were included with topical and place keywords assigned (10011, 10012, 10013, 10014, 10015, 10016, 10017). The same processes were used to define these new lidar acquisition areas.
    Date: 30-Sep-2022 (process 15 of 29)
    11 geophysical survey areas were updated with changes in survey geometry with provisional status removed (1023-1034). The same processes were used to refine these geophysical survey areas.
    Date: 30-Sep-2022 (process 16 of 29)
    1 new lidar survey areas was included with topical and place keywords assigned (10018). The same processes were used to define these new lidar acquisition areas.
    Date: 30-Sep-2022 (process 17 of 29)
    5 new areas were included for geologic mapping and reconnaissance geochemistry with topical and place keywords assigned (5044, 5045, 5049, 20034 and 20036). The same processes were used to define these geologic mapping and reconnaissance geochemistry acquisition areas.
    Date: 04-Oct-2022 (process 18 of 29)
    Study area polygons were analyzed visually and through quantitative analysis. Those deemed needlessly complex were generalized using a python procedure calling Esri geoprocessing libraries. The resulting geometries represent the study areas well, yet reduced the size of the GeoJSON service and download packages by nearly 90%. Person who carried out this activity:
    Christopher P Garrity
    USGS Geology, Energy, and Minerals Science Center
    Supervisory Cartographer
    Mail Stop 954
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6426 (voice)
    703-648-6419 (FAX)
    cgarrity@usgs.gov
    Date: 04-Oct-2022 (process 19 of 29)
    Analysis of the geographic area keywords that were generated by simple overlap calculations revealed appropriate terms applied to smaller study areas, and exceedingly large number of area terms applied to larger study areas. To simplify the geographic area terms, those terms identifying map quadrangles were selected at 1:250,000 or 1:100,000 scale where the study area was larger, and at 1:24,000 scale where the study area is small. Likewise hydrologic units were chosen as 4-digit or 2-digit HUCs for large study areas, and 8-digit HUCs for small study areas. This change reduces the complexity of those keywords when they are presented to users (by trading precision for simplicity) without detracting from their accuracy. Person who carried out this activity:
    Peter N Schweitzer
    USGS Geology, Energy, and Minerals Science Center
    Geologist
    Mail Stop 954
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6533 (voice)
    703-648-6252 (FAX)
    pschweitzer@usgs.gov
    Date: 2022 (process 20 of 29)
    In FY 2022 new data collection types were established with Earth MRI funding and incorporated in the acquisition areas dataset developed. For mine waste analysis studies, the boundaries were developed by USGS scientists in collaboration with state geologists to best capture mine waste regions with possible critical minerals based on the regional geology, mineral resource information available, and financial limitations on the size of the area to be mapped. Each mine waste point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined.
    Date: 2022 (process 21 of 29)
    In FY 2022 new data collection types were established with Earth MRI funding and incorporated in the acquisition areas dataset developed. For hyperspectral imaging studies, the boundaries were developed by USGS hyperspectral scientists and in collaboration NASA under an interagency agreement (IAA) to best capture the geologic setting of possible critical minerals based on the near surface potential resource being studied, topography, financial limitations on the size of survey and geologic data. Each hyperspectral scientist point of contact prepared their boundary as a shapefile and iteratively refined the area based on the above criteria until the planned boundary was defined.
    Date: 16-Feb-2023 (process 22 of 29)
    The database database table was modified to remove CPHONE and add ALIAS.
    Date: 16-Feb-2023 (process 23 of 29)
    29 new areas were included for geophysics, geologic mapping, reconnaissance geochemistry, mine waste, and hyperspectral with topical and place keywords assigned (1036-1046, 5046-5048, 5050-5057, 20033, 20035, 20037, 40001-40003, and 50001). Provisional status was applied to areas 1036-1045. The same processes were used to define these new acquisition areas.
    Date: 16-Feb-2023 (process 24 of 29)
    Contact name and email addresses were updated for 5001, 5014, 5024, 5040, and 5056.
    Date: 16-Feb-2023 (process 25 of 29)
    Publication information (YEAR END, PDATA, or partner products) were updated for 1010, 5004, 5007, 5008, 5013, 5015, 5031, and 10010.
    Date: 31-Mar-2023 (process 26 of 29)
    One new area was added for geophysics (pid 1047). Geometry for 7 geophysical survey areas was updated (pids 1030, 1034, 1036, 1039, 1040, 1043, and 1046).
    Date: 27-Jun-2023 (process 27 of 29)
    Publication information (YEAR END, PDATA, or partner products) were updated for 1015. Provisional status removed for pids 1040 and 1045.
    Date: 27-Jun-2023 (process 28 of 29)
    Two new area were added for geophysics (pids 1048 and 1049). Two new area were added for geologic mapping and geochemistry (pids 5058 and 5059). Geometry for 5 geophysical survey areas were updated (pids 1039, 1025,1037, 1040, 1042.
    Date: 28-Sep-2023 (process 29 of 29)
    Seven new areas were added for mine waste (pids 40004, 40005, 40006, 40007, 40008, 40009, 40010). Two new areas were added for hyperspectral (pids 50002 and 50003). Two new areas were added for geologic mapping, geochemistry (pids 5060 and 5061). One new area was added for geophysics (1050). Three new areas were added reconnaissance geochemistry (pids 20038, 20039, 20040). Updated geometry for 3 areas (pids 1021, 1026, 5039). Updated abstract for 2 projects (pids 1021 and 1032).
  3. What similar or related data should the user be aware of?
    U.S. Geological Survey, Unpublished material, Earth MRI data acquisition services.

    Online Links:

    Other_Citation_Details:
    Documentation of GeoJSON web service for Earth MRI data acquisition projects returning records by project ID number.
    U.S. Geological Survey, Unpublished material, Earth MRI data acquisition keyword services.

    Online Links:

    Other_Citation_Details:
    Documentation of a GeoJSON web service for Earth MRI data acquisition projects that returns records matching specified keywords from known controlled vocabularies.

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    Descriptive information about projects is as supplied by the groups of people who coordinated geologic mapping, geophysical surveying, lidar collection, 3D geological modeling, geochemical analysis, mine waste analysis, and hyperspectral imaging. While this information was reviewed for general accuracy, no formal tests were used to ensure quality or consistency in these data.
  2. How accurate are the geographic locations?
    For geophysical data, no formal positional accuracy tests were conducted. The footprints are approximations of the extent of each geophysical survey. The boundaries are within approximately 100-500 meters of the actual survey. The boundary is the planned boundary for data collection. The actual location is subject to change due to conditions during data collection.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    Each project funded by Earth MRI to acquire these data is represented by at least one polygon.
  5. How consistent are the relationships among the observations, including topology?
    Data included here were provided separately by USGS groups coordinating geologic mapping, geophysical surveying, lidar collection, geochemical analysis, mine waste analysis, and hyperspectral imaging.

    Project areas are described using one or more polygons. Within a project, polygons will not overlap, but polygons from different studies may overlap each other. Study abstracts may describe the criteria by which boundaries were determined, but generally do not describe the digital process by which the geometry was rendered in digital form here.

    Keywords drawn from USGS Thesaurus and related controlled vocabularies were assigned by Peter Schweitzer (USGS) to each project.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: none
Use_Constraints: none
  1. Who distributes the data set? (Distributor 1 of 1)
    Peter N Schweitzer
    U.S. Geological Survey: NORTHEAST REGION: Geology, Energy, and Minerals Science Center
    Geologist
    Mail Stop 954
    12201 Sunrise Valley Dr
    Reston, VA
    USA

    703-648-6533 (voice)
    703-648-6252 (FAX)
    pschweitzer@usgs.gov
  2. What's the catalog number I need to order this data set? Earth MRI data acquisition projects
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 11-Oct-2023
Metadata author:
Peter N Schweitzer
U.S. Geological Survey: NORTHEAST REGION: Geology, Energy, and Minerals Science Center
Geologist
Mail Stop 954
12201 Sunrise Valley Dr
Reston, VA
USA

703-648-6533 (voice)
703-648-6252 (FAX)
pschweitzer@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://mrdata.usgs.gov/earthmri/data-acquisition/metadata/acquisition-meta.faq.html>
Generated by mp version 2.9.52 on Wed Oct 11 14:02:58 2023