84 datasets found
  1. TIGER/Line Shapefile, Current, County, Camp County, TX, Address...

    • catalog.data.gov
    Updated Aug 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Camp County, TX, Address Range-Feature [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-camp-county-tx-address-range-feature
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Camp County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Features shapefile contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. This shapefile contains a record for each address range to street name combination. Address ranges associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that this shapefile includes all unsuppressed address ranges compared to the All Lines shapefile (edges.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefiles contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line shapefiles are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

  2. Data from: CMap: a database for mapping job titles, sector specialization,...

    • figshare.com
    csv
    Updated Jun 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shehryar Subhani; Shahan Ali Memon; Bedoor AlShebli (2025). CMap: a database for mapping job titles, sector specialization, and promotions across 24 sectors [Dataset]. http://doi.org/10.6084/m9.figshare.28229633.v2
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Shehryar Subhani; Shahan Ali Memon; Bedoor AlShebli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Understanding job titles, career trajectories, and promotions provides valuable insight into labor market dynamics and professional mobility. We present Career Map (CMap), a novel dataset spanning 24 industry sectors, systematically structured to study job specialization, sector concentration, and career advancements. Using advanced natural language processing techniques and large language models, we standardize 6.2 million job titles into 109 thousand unique titles and introduce a Specialization Index to quantify how specialized a title is within its sector. The dataset includes both a structured job titles dataset and a set of identified promotions—30 thousand validated promotions from the United States and the United Kingdom, and 72 thousand inferred promotions from a global context. It enables research on job hierarchies, workforce mobility and systemic inequalities in professional advancement. By providing insights into career progression patterns, labor market structures, and the impact of education and experience, this dataset serves as a valuable resource for economists, sociologists, and computational researchers studying employment trends across industries and regions.This repository contains the code necessary to recreate Figure 4 and Table 4 from the original manuscript.

  3. p

    Fishing camps Business Data for United States

    • poidata.io
    csv, json
    Updated Nov 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Fishing camps Business Data for United States [Dataset]. https://www.poidata.io/report/fishing-camp/united-states
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 2,179 verified Fishing camp businesses in United States with complete contact information, ratings, reviews, and location data.

  4. TIGER/Line Shapefile, Current, County, Camp County, TX, Address...

    • catalog.data.gov
    Updated Aug 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Camp County, TX, Address Range-Feature Name Relationship File [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-camp-county-tx-address-range-feature-name-relationship-file
    Explore at:
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Camp County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range/Feature Name Relationship File contains a record for each address range/linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Range Relationship File (addr.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute which can be used to link to the Feature Names Relationship File (featnames.dbf).

  5. p

    Fishing camps Business Data for New York, United States

    • poidata.io
    csv, json
    Updated Nov 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Fishing camps Business Data for New York, United States [Dataset]. https://www.poidata.io/report/fishing-camp/united-states/new-york
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    New York
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 38 verified Fishing camp businesses in New York, United States with complete contact information, ratings, reviews, and location data.

  6. A list of tables summarizing various Cmap analysis, from which the final...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Nov 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2020). A list of tables summarizing various Cmap analysis, from which the final tables in the manuscript are based on [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/a-list-of-tables-summarizing-various-cmap-analysis-from-which-the-final-tables-in-the-manu
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Various Cmap analyses within and across species and microarray platforms conducted and summarized to generate the tables in the publication. This dataset is associated with the following publication: Wang , R., A. Biales , N. Garcia-Reyero, E. Perkins, D. Villeneuve, G. Ankley, and D. Bencic. Fish Connectivity Mapping: Linking Chemical Stressors by Their MOA-Driven Transcriptomic Profiles. BMC Genomics. BioMed Central Ltd, London, UK, 17(84): 1-20, (2016).

  7. p

    Fishing camps Business Data for North Dakota, United States

    • poidata.io
    csv, json
    Updated Nov 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Fishing camps Business Data for North Dakota, United States [Dataset]. https://www.poidata.io/report/fishing-camp/united-states/north-dakota
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    North Dakota
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 7 verified Fishing camp businesses in North Dakota, United States with complete contact information, ratings, reviews, and location data.

  8. g

    Map Viewing Service (WMS) of the dataset: Noise Zones (Type C Map, LD Index)...

    • gimi9.com
    Updated Feb 19, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Map Viewing Service (WMS) of the dataset: Noise Zones (Type C Map, LD Index) of the A570, unlicensed national road network [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-ec0dba18-7aa6-4e5e-95bf-da64dbf37383
    Explore at:
    Dataset updated
    Feb 19, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    European Directive 2002/49/EC of 25 June 2002 on the assessment and management of environmental noise entails for EU Member States an assessment of environmental noise in the vicinity of major transport infrastructure (land and air) and in large agglomerations. This assessment is carried out in particular through the development of ‘so-called’ noise maps, the first series of which were drawn up in 2007 (1st deadline of the Directive) and 2012 (2nd deadline). Article L572-5 of the Environmental Code states that these maps are “reviewed, and if necessary revised, at least every five years”. Thus, the implementation of this review leads, in 2017 and as appropriate, to revise or renew the maps previously developed. Strategic Noise Maps (CBS) are designed to allow for the overall assessment of exposure to noise and to forecast its evolution. CBS are required in particular for road infrastructure with annual traffic of more than 3 million vehicles per year. For major road and rail transport infrastructure, the CBS are established, decided and approved under the authority of the prefect of the department. Noise maps are developed according to the indicators established by the European Directive, namely Lden (Day Evening Night Level) and Ln (Night Level). • Day/day: [6h-18h] • Evening/evening: [18h-22h] • Night/night: [22h-6h] The Lden and Ln indicators correspond to a defined energy average over the periods (Day/Black/Night) for Lden and (Night) for Ln. The corresponding results are expressed in A or dB(A) weighted decibels. Type C maps represent areas where noise limit values are exceeded for residential, educational and health buildings. For road and high-speed railway lines, the limit values are 68 dB(A) in Lden and 62 dB(A) in Ln.

  9. p

    Camp Creek Locations Data for United States

    • poidata.io
    csv, json
    Updated Dec 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Camp Creek Locations Data for United States [Dataset]. https://poidata.io/brand-report/camp-creek/united-states
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 385 verified Camp Creek locations in United States with complete contact information, ratings, reviews, and location data.

  10. p

    Children's camps Business Data for North Carolina, United States

    • poidata.io
    csv, json
    Updated Nov 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Children's camps Business Data for North Carolina, United States [Dataset]. https://www.poidata.io/report/childrens-camp/united-states/north-carolina
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    North Carolina
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 475 verified Children's camp businesses in North Carolina, United States with complete contact information, ratings, reviews, and location data.

  11. p

    Camp Locations Data for United States

    • poidata.io
    csv, json
    Updated Nov 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Camp Locations Data for United States [Dataset]. https://poidata.io/brand-report/camp/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 26 verified Camp locations in United States with complete contact information, ratings, reviews, and location data.

  12. RESTORE Council Monitoring and Assessment Program (CMAP): Supporting...

    • datasets.ai
    • gimi9.com
    • +1more
    0, 21
    Updated Nov 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Oceanic and Atmospheric Administration, Department of Commerce (2025). RESTORE Council Monitoring and Assessment Program (CMAP): Supporting Information (NCEI Accession 0224419) [Dataset]. https://datasets.ai/datasets/restore-council-monitoring-and-assessment-program-cmap-supporting-information-ncei-accession-02
    Explore at:
    0, 21Available download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    United States Department of Commercehttp://commerce.gov/
    Authors
    National Oceanic and Atmospheric Administration, Department of Commerce
    Description

    The RESTORE Council Monitoring and Assessment Program (CMAP) uses a Monitoring Community of Practice, coordinated by the Gulf of Mexico Alliance, and a Monitoring Coordination Committee to leverage existing resources, capacities, and expertise. This project builds on existing monitoring programs, which will be coordinated into a network, to provide efficiency in monitoring and collaborative cross-program review of performance with other Gulf ecosystem recovery efforts. Included in this release are datasets and products developed by the RESTORE Council Monitoring and Assessment Program (CMAP). Ten datasets are provided for the RESTORE Council Monitoring and Assessment Program (CMAP) and distributed as one compiled package.

  13. TIGER/Line Shapefile, 2023, County, Camp County, TX, Address Range-Feature...

    • catalog.data.gov
    • datasets.ai
    Updated Aug 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Camp County, TX, Address Range-Feature Name Relationship File [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-camp-county-tx-address-range-feature-name-relationship-file
    Explore at:
    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Camp County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

  14. e

    Simple download service (Atom) of the dataset: Noise zones (Type C map, LN...

    • data.europa.eu
    • gimi9.com
    unknown
    Updated Feb 18, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Simple download service (Atom) of the dataset: Noise zones (Type C map, LN index) of the A57, national road network granted [Dataset]. https://data.europa.eu/88u/dataset/fr-120066022-srv-6bb72cf3-931e-4dde-8544-0a630bf9cda2
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 18, 2022
    Description

    European Directive 2002/49/EC of 25 June 2002 on the assessment and management of environmental noise entails for EU Member States an assessment of environmental noise in the vicinity of major transport infrastructure (land and air) and in large agglomerations. This assessment is carried out in particular through the development of ‘so-called’ noise maps, the first series of which were drawn up in 2007 (1st deadline of the Directive) and 2012 (2nd deadline). Article L572-5 of the Environmental Code states that these maps are “reviewed, and if necessary revised, at least every five years”. Thus, the implementation of this review leads, in 2017 and as appropriate, to revise or renew the maps previously developed.

    Strategic Noise Maps (CBS) are designed to allow for the overall assessment of exposure to noise and to forecast its evolution.

    CBS are required in particular for road infrastructure with annual traffic of more than 3 million vehicles per year. For major road and rail transport infrastructure, the CBS are established, decided and approved under the authority of the prefect of the department.

    Noise maps are developed according to the indicators established by the European Directive, namely Lden (Day Evening Night Level) and Ln (Night Level). • Day/day: [6h-18h] • Evening/evening: [18h-22h] • Night/night: [22h-6h] The Lden and Ln indicators correspond to a defined energy average over the periods (Day/Black/Night) for Lden and (Night) for Ln. The corresponding results are expressed in A or dB(A) weighted decibels.

    Type C maps represent areas where noise limit values are exceeded for residential, educational and health buildings. For road and high-speed railway lines, the limit values are 68 dB(A) in Lden and 62 dB(A) in Ln.

  15. e

    Noise Zones (Type C Map, LN Index) of the A8, licensed national road network...

    • data.europa.eu
    Updated Feb 19, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Noise Zones (Type C Map, LN Index) of the A8, licensed national road network [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-jdd-68cf86f9-15d8-4792-805b-8ea1f72d8130
    Explore at:
    Dataset updated
    Feb 19, 2022
    Description

    European Directive 2002/49/EC of 25 June 2002 on the assessment and management of environmental noise entails for EU Member States an assessment of environmental noise in the vicinity of major transport infrastructure (land and air) and in large agglomerations. This assessment is carried out in particular through the development of ‘so-called’ noise maps, the first series of which were drawn up in 2007 (1st deadline of the Directive) and 2012 (2nd deadline). Article L572-5 of the Environmental Code states that these maps are “reviewed, and if necessary revised, at least every five years”. Thus, the implementation of this review leads, in 2017 and as appropriate, to revise or renew the maps previously developed.

    Strategic Noise Maps (CBS) are designed to allow for the overall assessment of exposure to noise and to forecast its evolution.

    CBS are required in particular for road infrastructure with annual traffic of more than 3 million vehicles per year. For major road and rail transport infrastructure, the CBS are established, decided and approved under the authority of the prefect of the department.

    Noise maps are developed according to the indicators established by the European Directive, namely Lden (Day Evening Night Level) and Ln (Night Level). • Day/day: [6h-18h] • Evening/evening: [18h-22h] • Night/night: [22h-6h] The Lden and Ln indicators correspond to a defined energy average over the periods (Day/Black/Night) for Lden and (Night) for Ln. The corresponding results are expressed in A or dB(A) weighted decibels.

    Type C maps represent areas where noise limit values are exceeded for residential, educational and health buildings. For road and high-speed railway lines, the limit values are 68 dB(A) in Lden and 62 dB(A) in Ln.

  16. e

    Simple download service (Atom) of the dataset: Noise zones (Type C map, LN...

    • data.europa.eu
    Updated Feb 18, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Simple download service (Atom) of the dataset: Noise zones (Type C map, LN index) of the Var departmental road network [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-e1e9970f-2093-40f1-95af-86044665ed53?locale=en
    Explore at:
    inspire download serviceAvailable download formats
    Dataset updated
    Feb 18, 2022
    Description

    European Directive 2002/49/EC of 25 June 2002 on the assessment and management of environmental noise entails for EU Member States an assessment of environmental noise in the vicinity of major transport infrastructure (land and air) and in large agglomerations. This assessment is carried out in particular through the development of ‘so-called’ noise maps, the first series of which were drawn up in 2007 (1st deadline of the Directive) and 2012 (2nd deadline). Article L572-5 of the Environmental Code states that these maps are “reviewed, and if necessary revised, at least every five years”. Thus, the implementation of this review leads, in 2017 and as appropriate, to revise or renew the maps previously developed.

    Strategic Noise Maps (CBS) are designed to allow for the overall assessment of exposure to noise and to forecast its evolution.

    CBS are required in particular for road infrastructure with annual traffic of more than 3 million vehicles per year. For major road and rail transport infrastructure, the CBS are established, decided and approved under the authority of the prefect of the department.

    Noise maps are developed according to the indicators established by the European Directive, namely Lden (Day Evening Night Level) and Ln (Night Level). • Day/day: [6h-18h] • Evening/evening: [18h-22h] • Night/night: [22h-6h] The Lden and Ln indicators correspond to a defined energy average over the periods (Day/Black/Night) for Lden and (Night) for Ln. The corresponding results are expressed in A or dB(A) weighted decibels.

    Type C maps represent areas where noise limit values are exceeded for residential, educational and health buildings. For road and high-speed railway lines, the limit values are 68 dB(A) in Lden and 62 dB(A) in Ln.

    For a list of pathways, please refer to the non-technical summary (page 9).

  17. e

    Noise zones (Type C map, LN index) of the Var departmental road network

    • data.europa.eu
    Updated Feb 19, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Noise zones (Type C map, LN index) of the Var departmental road network [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-jdd-75fc59cb-7772-469b-a343-ca07061e8f0b/?locale=en
    Explore at:
    Dataset updated
    Feb 19, 2022
    Description

    European Directive 2002/49/EC of 25 June 2002 on the assessment and management of environmental noise entails for EU Member States an assessment of environmental noise in the vicinity of major transport infrastructure (land and air) and in large agglomerations. This assessment is carried out in particular through the development of ‘so-called’ noise maps, the first series of which were drawn up in 2007 (1st deadline of the Directive) and 2012 (2nd deadline). Article L572-5 of the Environmental Code states that these maps are “reviewed, and if necessary revised, at least every five years”. Thus, the implementation of this review leads, in 2017 and as appropriate, to revise or renew the maps previously developed.

    Strategic Noise Maps (CBS) are designed to allow for the overall assessment of exposure to noise and to forecast its evolution.

    CBS are required in particular for road infrastructure with annual traffic of more than 3 million vehicles per year. For major road and rail transport infrastructure, the CBS are established, decided and approved under the authority of the prefect of the department.

    Noise maps are developed according to the indicators established by the European Directive, namely Lden (Day Evening Night Level) and Ln (Night Level). • Day/day: [6h-18h] • Evening/evening: [18h-22h] • Night/night: [22h-6h] The Lden and Ln indicators correspond to a defined energy average over the periods (Day/Black/Night) for Lden and (Night) for Ln. The corresponding results are expressed in A or dB(A) weighted decibels.

    Type C maps represent areas where noise limit values are exceeded for residential, educational and health buildings. For road and high-speed railway lines, the limit values are 68 dB(A) in Lden and 62 dB(A) in Ln.

    For a list of pathways, please refer to the non-technical summary (page 9).

  18. a

    Military Installation: Camp Swift Fire Experiment 2014

    • usfs.hub.arcgis.com
    Updated Feb 9, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2018). Military Installation: Camp Swift Fire Experiment 2014 [Dataset]. https://usfs.hub.arcgis.com/maps/usfs::military-installation-camp-swift-fire-experiment-2014
    Explore at:
    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    U.S. Forest Service
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

    The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations.

    The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.Full details on the Camp Swift Fire Experiment 2014 can be accessed through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

  19. o

    US Department of the Navy, United States Marine Corps, Camp Pendleton

    • opencontext.org
    Updated Sep 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    San Diego Archaeological Center (2022). US Department of the Navy, United States Marine Corps, Camp Pendleton [Dataset]. https://opencontext.org/types/a7f7d4ea-0dd4-4a94-6782-c7cdf2a553cd
    Explore at:
    Dataset updated
    Sep 29, 2022
    Dataset provided by
    Open Context
    Authors
    San Diego Archaeological Center
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States Department of the Navy, United States, The U.S. Marine Corps
    Description

    An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "San Diego Archaeological Center" data publication.

  20. TIGER/Line Shapefile, 2022, County, Camp County, TX, Topological Faces...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jan 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Camp County, TX, Topological Faces (Polygons With All Geocodes) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/tiger-line-shapefile-2022-county-camp-county-tx-topological-faces-polygons-with-all-geocodes
    Explore at:
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Camp County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Camp County, TX, Address Range-Feature [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-camp-county-tx-address-range-feature
Organization logo

TIGER/Line Shapefile, Current, County, Camp County, TX, Address Range-Feature

Explore at:
Dataset updated
Aug 8, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
Texas, Camp County
Description

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Features shapefile contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. This shapefile contains a record for each address range to street name combination. Address ranges associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that this shapefile includes all unsuppressed address ranges compared to the All Lines shapefile (edges.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefiles contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line shapefiles are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Search
Clear search
Close search
Google apps
Main menu