ISO-19139 Metadata
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Metadata Information
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Metadata language: eng
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Metadata character set: utf8
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Last update: 2018-06-14
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Metadata maintenance:
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Update frequency: annually
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Other maintenance requirements: Last metadata review date: 04/30/2018
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Metadata contact:
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Role: pointOfContact
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Organization's name: HIFLD Support Team
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Contact information:
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Scope of the data described by the metadata: dataset
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Name of the metadata standard used: NAP - Metadata
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Version of the metadata standard: 1.2
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Metadata identifier: 1529344627741r14544219581342177
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Data Identification Information
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Resource citation:
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Title: Fortune 500 Corporate Headquarters
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Collection title: HIFLD Open and HIFLD Secure
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Date:
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Reference date
- publication: 2018-04-30
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Edition: 63rd
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Presentation format: mapDigital
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Other citation details: Data shown are for the fiscal year ended on or before Jan. 31, 2017.
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Cited responsible party:
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Role: originator
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Organization's name: HIFLD Support Team
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Contact information:
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Cited responsible party:
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Role: originator
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Organization's name: Technigraphics, Inc.
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Contact information:
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Descriptive keywords:
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Place keywords:
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Keywords: Continental United States, United States, CONUS, USA, District of Columbia
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Descriptive keywords:
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Theme keywords:
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Keywords: United States, Fortune, headquarters, corporate, 500, HIFLD, Fortune 500, USA
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Keyword thesaurus:
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Title: LCSH - Library of Congress subject headings (Washington, DC: LC, Cataloging Distribution Service) http://authorities.loc.gov/
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Date:
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Cited responsible party:
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Descriptive keywords:
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Keyword type not provided
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Keywords: Downloadable Data
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Keyword thesaurus:
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Citation reference: 723f6998-058e-11dc-8314-0800200c9a66
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Abstract: This database is composed of "an annual list of the 500 largest industrial corporations in the U.S., published by Fortune magazine. The corporations are ranked based on such metrics as revenues, profits, and market value", as defined by InvestorWords.com - http://www.investorwords.com/2056/Fortune_500.html The entities represented in this dataset are the companies' headquarters location only. This dataset does not include branches, divisions, annexes, or subdivisions of these company headquarters. There are no entities located in Alaska, Hawaii, Guam, Puerto Rico, American Samoa, the Northern Mariana Islands, or the Virgin Islands included in this dataset. The locations of points were geocoded to street address and are not necessarily located on-entity, unless stated otherwise. Data shown are for the fiscal year ended on or before Jan. 31, 2017.
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Purpose: This dataset represents the locations of the corporate headquarters listed in the Fortune 500 list. Data shown are for the fiscal year ended on or before Jan. 31, 2017.
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Dataset language:eng
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Dataset character set: utf8
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Status: completed
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Resource maintenance:
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Update frequency: annually
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Resource constraints:
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General constraints:
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Limitations of use: None (Public Use)
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Resource constraints:
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Legal constraints:
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Limitations of use: Distributor assumes no liability for misuse of data.
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Other constraints: None (Public Use)
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Aggregated resource information:
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Aggregate dataset name:
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Title: Fortune 500 Corporate Headquarters - 2017
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Date:
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Cited responsible party:
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Association type: crossReference
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Aggregated resource information:
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Aggregate dataset name:
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Title: HIFLD Open and HIFLD Secure
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Date:
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Cited responsible party:
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Association type: largerWorkCitation
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Spatial representation type: vector
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Processing environment: Version 6.2 (Build 9200) ; Esri ArcGIS 10.2.2.3552
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Resource extent:
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Geographic element:
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Bounding rectangle:
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West longitude: -177.3022441899916
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East longitude: -48.992814502501
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North latitude: 72.98058294251491
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South latitude: 17.677136747937922
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Resource extent:
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Extent description: publication date
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Resource extent:
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Geographic element:
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Bounding rectangle:
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Extent contains the resource: true
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West longitude: -122.87228
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East longitude: -71.05899
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North latitude: 47.64005
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South latitude: 25.77582
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Supplemental information: If you are using this dataset as a shapefile, please be aware that it was converted from a Geodatabase. As a result, this shapefile may have attribution and metadata errors resulting from the conversion process. The following are known issues: null values may have been changed to 0s (zeros) or to blank values, numbers (including latitude and longitude) may have been rounded up or down, there may be issues with Unicode character strings, and time cannot be stored in a date field. Field names may have been truncated to no longer than 10 characters or completely changed, lengthy string attributes may have been truncated to 254 characters, and attribute columns may have been deleted. Shapefiles do not support coded domains and subtypes therefore the original file geodatabase attribution and metadata information for coded domains and subtypes could be incorrect or missing in the shapefile version. Please visit the following ESRI website for more information: http://pro.arcgis.com/en/pro-app/tool-reference/appendices/geoprocessing-considerations-for-Shapefile-output.htm.
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Credits: This Fortune 500 Directory was prepared under the direction of list editor Scott DeCarlo. Income statement and balance sheet data provided by the companies were reviewed and verified against published earnings releases, 10-K filings, and annual reports by reporter Douglas G. Elam and accounting specialists Rhona Altschuler, and Cappy Lyons. Markets editor Kathleen Smyth used those same sources to check the data for earnings per share. In addition, we used data provided by Thomson Reuters and S&P Global Market Intelligence to calculate total return and market capitalization. Database administrator Santhosh Varghese provided technical support. The data verification process was aided substantially by information provided by S&P Global Market Intelligence. Other sources used were Hoover’s and Lexis Securities Mosaic. Data shown are for the fiscal year ended on or before Jan. 31, 2017.
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Resource point of contact:
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Role: pointOfContact
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Organization's name: HIFLD Support Team
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Contact information:
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Spatial Representation
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Vector Data
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Level of topology for this dataset: geometryOnly
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Geometric objects:
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Object type: point
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Object count: 500
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Reference System Information
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Reference system identifier:
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Value: 4326
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Code space: EPSG
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Version: 8.2.6
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Data Quality
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Scope of quality information:
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Level of the data:dataset
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Resource lineage:
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Process step:
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Description: Points were geolocated on <http://www.gpsvisualizer.com/geocoder/> using the batch geocoding address tool. Due to the quantity of addresses requiring processing, a Bing Maps API key (found at <https://www.bingmapsportal.com/>) was used to complete the process. By using a Bing Maps API key, the addresses were then matched against Bing Maps, which generates the lat/long values which are required for ArcMap's XYevent tool. The result yielded 490 records being successfully geolocated to 'address', while the remaining 10 varied widely for locational accuracy - ie. located on city, county, zipcode, region, intersection, etc. These 10 points were manually verified using Google Maps and placed on-entity based on Address information.
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Processor:
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Role: processor
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Organization's name: HIFLD Support Team
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Contact information:
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Process step:
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Description: The blank entries were populated with Not Available within the ADDRESS2 field.
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Processor:
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Role: processor
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Organization's name: HIFLD Support Team
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Contact information:
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Process step:
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When the process occurred: 2018-06-04T00:00:00
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Description: Added and populated the 'COMMENTS' and 'WEBSITE" attribute fields.
Removed 'MKT_VAL_MI', 'ASSETS_MIL', and 'COUNTY_FIP' attribute fields.
Updated 'COUNTYFIPS' attribute field to include 2-digit state code.
Changed the name of the attribute field 'REVENUES_M' to 'REVENUES' and 'PROFITS_M' to 'PROFITS'.
Standardized 'ADDRESS', 'ADDRESS2', and 'COUNTY' attribute fields.
Added preceding zeros that were missing from the 'ZIP' attribute field.
Corrected discrepant addresses and matched up-to-date, on-entity point locations as of 6/4/2018.
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Processor:
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Role: pointOfContact
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Organization's name: HIFLD Support Team
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Contact information:
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Data quality report:
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Topological consistency:
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Evaluation method: Data were extracted from sources (identified in the SOURCE field) and other open source websites to populate the attribute fields. For string and date data types, NOT AVAILABLE values denote missing data that was not present in the source data. For numeric data types, -999 denotes missing data that was not present in the source data. During quality control, attributes were checked to ensure that they fell within the expected ranges or had expected/valid values. Text attribute values were checked for spelling and usage consistency. No topology tests were conducted. All records were verified to occur within the spatial domain of the feature class/shapefile.
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Data quality result:
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Data quality report:
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Domain consistency:
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Evaluation method: Data were extracted from sources (identified in the SOURCE field) and other open source websites to populate the attribute fields. For string and date data types, NOT AVAILABLE values denote missing data that was not present in the source data. For numeric data types, -999 denotes missing data that was not present in the source data. During quality control, attributes were checked to ensure that they fell within the expected ranges or had expected/valid values. Text attribute values were checked for spelling and usage consistency. No topology tests were conducted. All records were verified to occur within the spatial domain of the feature class/shapefile.
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Data quality result:
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Data quality report:
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Conceptual consistency:
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Measure produced by the test: Data were extracted from sources (identified in the SOURCE field) and other open source websites to populate the attribute fields. For string and date data types, NOT AVAILABLE values denote missing data that was not present in the source data. For numeric data types, -999 denotes missing data that was not present in the source data. During quality control, attributes were checked to ensure that they fell within the expected ranges or had expected/valid values. Text attribute values were checked for spelling and usage consistency. No topology tests were conducted. All records were verified to occur within the spatial domain of the feature class/shapefile.
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Data quality result:
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Data quality report:
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Completeness omission:
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Measure produced by the test: Data is complete as of the most recent date indicated in the Time Period section.
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Data quality result:
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Data quality report:
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Quantitative attribute accuracy:
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Measure produced by the test: No formal attribute accuracy test was conducted. Data from the authoritative sources (as identified in other sections of this metadata) is assumed to be correct and accurate. See also “Overview Description” in the “Entities and Attributes” metadata section.
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Data quality result:
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Data quality report:
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Absolute external positional accuracy:
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Measure produced by the test: None; entities are geocoded to the street address unless they have been manually moved to on-entity.
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Data quality result:
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Data quality report:
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Absolute external positional accuracy:
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Measure produced by the test: None; dataset contains no vertical data.
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Data quality result:
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Distribution Information
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Distributor:
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Distributor contact:
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Role: distributor
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Organization's name: HIFLD Subcommittee
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Contact information:
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Address:
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e-mail address: hifld@hq.dhs.gov
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Distribution order process:
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Terms and fees: None. No fees are applicable for obtaining the data set.
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Distribution format:
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Format name: Vector Digital Data Set (Point)
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Format version:
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Distribution format:
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Format name: Vector Digital Data Set (Point)
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Format version:
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Transfer options:
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