7 datasets found
  1. 2020 Cartographic Boundary File (KML), Current New England City and Town...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current New England City and Town Area for United States, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-new-england-city-and-town-area-for-united-states-1-
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    New England, United States
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

  2. d

    2019 Cartographic Boundary KML, Current New England City and Town Area for...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jan 15, 2021
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    (2021). 2019 Cartographic Boundary KML, Current New England City and Town Area for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-kml-current-new-england-city-and-town-area-for-united-states-1-50000
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    Dataset updated
    Jan 15, 2021
    Area covered
    New England, United States
    Description

    The 2019 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.

  3. a

    USFWS National Wetland Inventory (Kansas NWI) (11/5/2014) (KML)

    • hub.arcgis.com
    • kars.ku.edu
    Updated Dec 16, 2022
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    The University of Kansas (2022). USFWS National Wetland Inventory (Kansas NWI) (11/5/2014) (KML) [Dataset]. https://hub.arcgis.com/datasets/d475dbd342ec4faf83eba7717e377d00
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    The University of Kansas
    License

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

    Area covered
    Description

    This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps.

  4. f

    Data from: A comparison of methods for clustering longitudinal data with...

    • tandf.figshare.com
    txt
    Updated May 31, 2023
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    N. G. P. Den Teuling; S. C. Pauws; E. R. van den Heuvel (2023). A comparison of methods for clustering longitudinal data with slowly changing trends [Dataset]. http://doi.org/10.6084/m9.figshare.13611385.v3
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    N. G. P. Den Teuling; S. C. Pauws; E. R. van den Heuvel
    License

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

    Description

    Longitudinal clustering provides a detailed yet comprehensible description of time profiles among subjects. With several approaches that are commonly used for this purpose, it remains unclear under which conditions a method is preferred over another method. We investigated the performance of five methods using Monte Carlo simulations on synthetic datasets, representing various scenarios involving polynomial time profiles. The performance was evaluated on two aspects: The agreement of the group assignment to the simulated reference, as measured by the split-join distance, and the trend estimation error, as measured by a weighted minimum of the mean squared error (WMMSE). Growth mixture modeling (GMM) was found to achieve the best overall performance, followed closely by a two-step approach using growth curve modeling and k-means (GCKM). Considering the model similarities between GMM and GCKM, the latter is preferred for large datasets for its computational efficiency. Longitudinal k-means (KML) and group-based trajectory modeling were found to have practically identical solutions in the case that the group trajectory model of the latter method is correctly specified. Both methods performed less than GMM and GCKM in most settings.

  5. a

    ITU Annual mean decrease in radio refractivity

    • oneungeospatial-situationroom-ungis.hub.arcgis.com
    Updated Feb 19, 2025
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    roy.augustine_ungis (2025). ITU Annual mean decrease in radio refractivity [Dataset]. https://oneungeospatial-situationroom-ungis.hub.arcgis.com/items/089b73793c92401fb2cc325db2562d50
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    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    roy.augustine_ungis
    Area covered
    Earth
    Description

    A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS

  6. i

    Data from: Copernicus in situ TAC - CMEMS regions definition

    • sextant.ifremer.fr
    • seanoe.org
    rel-canonical +2
    Updated Mar 7, 2024
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    Copernicus in situ TAC - CMEMS regions definition (2024). Copernicus in situ TAC - CMEMS regions definition [Dataset]. https://sextant.ifremer.fr/geonetwork/srv/api/records/seanoe:44395
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    www:link-1.0-http--metadata-url, rel-canonical, www:download-1.0-link--downloadAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Copernicus in situ TAC - CMEMS regions definition
    Description

    The Copernicus in situ TAC (Thematic Assembly Centre) manages ocean in situ observations for Copenicus Marine Environment service. It is divided in 7 area : Arctic, Baltic, Black sea, Global ocean, Irish-Biscay-Iberia (IBI), Mediterranean sea, North sea. The boudaries of these seven areas are provided in a kml file (GoogleEarth).

  7. Digital Geologic-GIS Map of Everglades National Park and Vicinity, Florida...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of Everglades National Park and Vicinity, Florida (NPS, GRD, GRI, EVER, EVER digital map) adapted from Florida Geological Survey Open File Map Series maps by Green, Campbell, Scott, Means and Arthur (1995, 1996, 1997, 1998 and 1999), and Open-File Report map by Scott (2001), and U.S. Geological Survey Bulletin map by Bergendahl (1956), Open-File Report map by McCartan and Moy (1995), and Water-Resources maps by Causaras, Reese and Cunningham (1985, 1986 and 2000) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-everglades-national-park-and-vicinity-florida-nps-grd-gri-ever
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Florida
    Description

    The Digital Geologic-GIS Map of Everglades National Park and Vicinity, Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (ever_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (ever_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (ever_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (ever_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (ever_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (ever_geology_metadata_faq.pdf). Please read the ever_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Florida Geological Survey and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ever_geology_metadata.txt or ever_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:675,000 and United States National Map Accuracy Standards features are within (horizontally) 342.9 meters or 1125 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

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U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current New England City and Town Area for United States, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-new-england-city-and-town-area-for-united-states-1-
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2020 Cartographic Boundary File (KML), Current New England City and Town Area for United States, 1:500,000

Explore at:
Dataset updated
Dec 14, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
United States Department of Commercehttp://www.commerce.gov/
Area covered
New England, United States
Description

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

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