39 datasets found
  1. San Francisco Bay Region Roadways

    • opendata-mtc.opendata.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Dec 3, 2021
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    MTC/ABAG (2021). San Francisco Bay Region Roadways [Dataset]. https://opendata-mtc.opendata.arcgis.com/datasets/san-francisco-bay-region-roadways
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    Dataset updated
    Dec 3, 2021
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    MTC/ABAG
    Area covered
    Description

    Roadways (streets and highways) for the San Francisco Bay Region. Feature set was assembled using all roads county-based 2021 TIGER/Line shapefiles by the Metropolitan Transportation Commission.The All Roads shapefiles includes all features within the Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB) Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.The feature set contains multiple overlapping road segments where a segment is associated with more than one road feature. For example, if a road segment is associated with US Route 36 and State Highway 7 and 28th Street, the route will contain three spatially coincident segments, each with a different name. The roadway feature set contains the set of unique road segments for each county, along with other linear features.Primary roads are generally divided limited-access highways within the Federal interstate highway system or under state management. Interchanges and ramps distinguish these roads, and some are toll highways.Secondary roads are main arteries, usually in the U.S. highway, state highway, or county highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They often have both a local name and a route number.

  2. Unpublished Digital Post-Hurricane Sandy (2015) Geomorphological-GIS Map of...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Jun 4, 2024
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    National Park Service (2024). Unpublished Digital Post-Hurricane Sandy (2015) Geomorphological-GIS Map of the Jamaica Bay Unit, Gateway National Recreation Area, New York (NPS, GRD, GRI, GATE, JABA digital map) adapted from a Rutgers University Institute of Marine and Coastal Sciences unpublished digital data by Psuty, N.P., Schmelz, W., Greenberg, J. and Spahn A. (2015) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/unpublished-digital-post-hurricane-sandy-2015-geomorphological-gis-map-of-the-jamaica-bay-
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    New York, Jamaica Bay
    Description

    The Unpublished Digital Post-Hurricane Sandy (2015) Geomorphological-GIS Map of the Jamaica Bay Unit, Gateway National Recreation Area, New York is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (jaba_geomorphology.gdb), a 10.1 ArcMap (.MXD) map document (jaba_geomorphology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (gate_geomorphology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (gate_gis_readme.pdf). Please read the gate_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 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. Google Earth software is available for free at: http://www.google.com/earth/index.html. 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). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Rutgers University Institute of Marine and Coastal Sciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jaba_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/gate/jaba_post-sandy_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:6,000 and United States National Map Accuracy Standards features are within (horizontally) 5.08 meters or 16.67 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 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: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 18N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Gateway National Recreation Area.

  3. San Francisco Bay Region Water (area)

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Nov 4, 2021
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    MTC/ABAG (2021). San Francisco Bay Region Water (area) [Dataset]. https://opendata.mtc.ca.gov/datasets/san-francisco-bay-region-water-area
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    Dataset updated
    Nov 4, 2021
    Dataset provided by
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    Area water features for the San Francisco Bay Region. Features were extracted from California 2020 TIGER/Line feature class by the Metropolitan Transportation Commission. Source data was downloaded October 27, 2021.The area hydrography data contains the geometry and names (when available) of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps, and the area covered by large streams represented as double-line drainage.

  4. San Francisco Bay Trail

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Jan 1, 2005
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    MTC/ABAG (2005). San Francisco Bay Trail [Dataset]. https://opendata.mtc.ca.gov/datasets/san-francisco-bay-trail
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    Dataset updated
    Jan 1, 2005
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    About the Bay Trail The San Francisco Bay Trail is an interconnected system of on- and off-street trails circumnavigating San Francisco and San Pablo Bays. The ultimate vision for the Bay Trail is a continuous, 500-mile trail around San Francisco and San Pablo Bays serving 47 cities in all nine Bay Area counties. As of 2024, 352 miles (70%) of the 500-mile vision have been constructed. The Bay Trail welcomes a variety of users including people who walk, bike and roll. It is intended to be used for many purposes including recreation, commuting to work and school, running errands, accessing transit, and visiting friends and family.**The Open Data viewer is intended for general display of features and is not appropriate for feature exploration. Use the feature map viewer to explore trail feature attributes through symbology and filtering, or print a basic map.**

    Trail Types Because the trail circumnavigates the entire San Francisco Bay, a wide variety of landscapes and experiences can be found. For a bustling scene, walk or bike the Embarcadero in San Francisco on a sunny (or foggy) afternoon. For peace and solitude interrupted only by bird song and windswept grasses, make your way to the Tubbs Island Trail on the shores of San Pablo Bay in Sonoma County. Nearly 227 miles of the existing Bay Trail are paved, and 127 miles are natural surface trails of varying widths. In some locations, the Bay Trail consists of bike lanes and sidewalks. In addition to walkers and cyclists, the trail is used by joggers, skaters, birdwatchers, photographers, kite-flyers, wheelchair riders, picnickers, and more. History of the San Francisco Bay TrailSenate Bill 100, authored by then-state Senator Bill Lockyer and passed into law in 1987, directed the Association of Bay Area Governments (ABAG) to develop a plan for this regional trail system including a specific alignment for the Bay Trail.The Metropolitan Transportation Commission works with ABAG to implement the Bay Trail Plan, adopted by ABAG in July 1989. It includes a proposed alignment; a set of policies to guide the future selection, design, and construction of routes; and strategies for implementation and financing. Since its inception, the Bay Trail Plan has enjoyed widespread support in the region.

  5. Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Jun 4, 2024
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    National Park Service (2024). Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Jamaica Bay Unit, Gateway National Recreation Area, New York (NPS, GRD, GRI, GATE, JABA digital map) adapted from a Rutgers University Institute of Marine and Coastal Sciences unpublished digital data by Psuty, N.P., McLoughlin, S.M., Schmelz, W. and Spahn, A. (2014) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/unpublished-digital-pre-hurricane-sandy-geomorphological-gis-map-of-the-jamaica-bay-unit-g
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Jamaica Bay
    Description

    **THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Jamaica Bay Unit, Gateway National Recreation Area, New York is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (jaba_geomorphology.gdb), a 10.1 ArcMap (.MXD) map document (jaba_geomorphology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (gate_geomorphology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (gate_gis_readme.pdf). Please read the gate_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 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. Google Earth software is available for free at: http://www.google.com/earth/index.html. 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). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Rutgers University Institute of Marine and Coastal Sciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jaba_pre-sandy_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/gate/jaba_pre-sandy_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:6,000 and United States National Map Accuracy Standards features are within (horizontally) 5.08 meters or 16.67 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 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: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 18N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Gateway National Recreation Area

  6. d

    SURVEYS: Outlines of U.S. Geological Survey, Coastal and Marine Geology...

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Feb 1, 2018
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    Valerie Paskevich (2018). SURVEYS: Outlines of U.S. Geological Survey, Coastal and Marine Geology Program (USGS/CMGP) seafloor mapping surveys [Dataset]. https://search.dataone.org/view/514569b1-544b-4eba-aff2-31a5108ea2b3
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Valerie Paskevich
    Area covered
    Variables measured
    MB, SB, FID, SSS, AREA, NAME, YEAR, Shape, YEAR2, ABBREV, and 3 more
    Description

    This is a polygon GIS data layer showing the location and extent of various sidescan, multibeam and swath bathymetry surveys conducted by the USGS, Coastal and Marine Geology Program. Outlines of individual mosaic areas were combined to create one comprehensive layer that could be used to illustrate areas surveyed by USGS/CMGP seafloor mapping programs.

  7. a

    Bay Segment Boundaries NBEP2017 (shapefile)

    • hub.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated Feb 4, 2020
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    NBEP_GIS (2020). Bay Segment Boundaries NBEP2017 (shapefile) [Dataset]. https://hub.arcgis.com/datasets/81126a3d27f24ebf89c1f61551d1001b
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    Dataset updated
    Feb 4, 2020
    Dataset authored and provided by
    NBEP_GIS
    Area covered
    Description

    Narragansett Bay, Little Narragansett Bay, and the Southwest Coastal Ponds are the three estuarine study areas under the purview of the Narragansett Bay Estuary Program (NBEP). This dataset represents all coastal waters and the coastline of Rhode Island and portions of coastline in neighboring Connecticut and Massachusetts, segmented according to all available information and the most common delineations of NBEP’s study areas. It includes the estuaries, the salt ponds, and estuarine tributaries. Segments are the smallest divisions of the Bay used for analysis in the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org). The boundaries of NBEP estuarine waters correspond to delineations by researchers studying the Bay. The Estuary Program compiled all available information and used the most common delineations to define estuarine waters. The upper boundaries of the estuarine waters correspond to the limits of tidal waters defined by: (1) the presence of existing dams (as of 2016) and (2) the extent of estuarine waters as defined and delineated by the states to assess water quality and shellfishing areas. The outer boundary of Narragansett Bay spans Point Judith and Sakonnet Point. See below for a full listing of data sources. This dataset is intended for use in general planning, GIS analysis, and mapping at watershed and subwatershed scales. For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org).

  8. d

    California State Waters Map Series--Offshore of Half Moon Bay Web Services

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Half Moon Bay Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-half-moon-bay-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Half Moon Bay, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Half Moon Bay map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Half Moon Bay map area data layers. Data layers are symbolized as shown on the associated map sheets.

  9. 2023 Transportation Improvement Program Projects - Line

    • opendata-mtc.opendata.arcgis.com
    • opendata.mtc.ca.gov
    • +2more
    Updated Jul 29, 2022
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    MTC/ABAG (2022). 2023 Transportation Improvement Program Projects - Line [Dataset]. https://opendata-mtc.opendata.arcgis.com/items/763cae12b9894ff493b2b0f8d6cc1e57
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    Dataset updated
    Jul 29, 2022
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    Linear features from the full set of projects that are part of the 2023 Transportation Improvement Program (TIP). The TIP lists the near-term transportation projects, programs and investment priorities of the region’s surface transportation system that have a federal interest — meaning projects or programs for which federal funds or actions by federal agencies are anticipated — along with locally and state-funded projects that are regionally significant. A regionally significant project, generally large scale, changes travel patterns over a relatively large geographic area. The TIP signifies the start of implementation of the programs and policies approved in the San Francisco Bay Region’s long-range transportation plan. It does this by identifying specific projects over a four-year time-frame that will help move the region toward its transportation vision. Locally funded transit operations, roadway maintenance projects, planning efforts and minor sidewalk or intersection improvements are generally not included in the TIP.Other 2023 TIP projects are included in:2023 Transportation Improvement Program Projects - Points2023 Transportation Improvement Program Projects - Polygon2023 TIP Projects mapMore information on the 2023 Transportation Improvement Program can be found at https://mtc.ca.gov/funding/transportation-improvement-program/draft-2023-tip.

  10. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Oct 24, 2018
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    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
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    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    California Department of Education
    License

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

    Area covered
    Description

    This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.

  11. Maryland Archived Submerged Aquatic Vegetation - SAV 2018

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    Updated Jan 22, 2021
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    ArcGIS Online for Maryland (2021). Maryland Archived Submerged Aquatic Vegetation - SAV 2018 [Dataset]. https://data.imap.maryland.gov/datasets/maryland-archived-submerged-aquatic-vegetation-sav-2018/about
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    Dataset updated
    Jan 22, 2021
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    The 2018 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. Each area of SAV was interpreted from the rectified imagry and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have been distinguishable on the aerial photography.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Feature Link Service: https://archive.geodata.md.gov/imap/rest/services/Biota/MD_ArchivedSubmergedAquaticVegetation/FeatureServer/33

  12. d

    Data from: California State Waters Map Series--Salt Point to Drakes Bay Web...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). California State Waters Map Series--Salt Point to Drakes Bay Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-salt-point-to-drakes-bay-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Drakes Bay, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Salt Point to Drakes Bay map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Salt Point to Drakes Bay map area data layers. Data layers are symbolized as shown on the associated map sheets.

  13. a

    SHELLFISH AREAS 2015 NBEP2017 (shapefile)

    • hub.arcgis.com
    • narragansett-bay-estuary-program-nbep.hub.arcgis.com
    Updated Feb 4, 2020
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    NBEP_GIS (2020). SHELLFISH AREAS 2015 NBEP2017 (shapefile) [Dataset]. https://hub.arcgis.com/datasets/b61d7e1d99b64d3da91d6ad4e3c2aa79
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    Dataset updated
    Feb 4, 2020
    Dataset authored and provided by
    NBEP_GIS
    Area covered
    Description

    To protect public health from contaminated shellfish, primarily due to harmful pathogens, state agencies regulate where shellfish can and cannot be harvested for direct human consumption. The status of shellfishing areas serves as an indicator of public health conditions in the Bay. This vector dataset contains shellfishing area classifications for 2015 in the Narragansett Bay, Little Narragansett Bay, and Southwest Coastal ponds. Using data from the Massachusetts Division of Marine Fisheries (MADMF) and the Rhode Island Department of Environmental Management (RIDEM), The Narragansett Bay Estuary Program defined three categories derived from the shellfish growing area classification systems used by Massachusetts and Rhode Island. In “Approved” areas, shellfish harvesting is allowed for direct human consumption all year round (some exceptions may apply). “Conditionally Approved” areas allow shellfish harvesting for direct human consumption with some restrictions, depending on each state’s shellfish program criteria. In “Prohibited” areas, shellfish harvesting is not allowed for direct human consumption. This dataset is intended for use in general planning, GIS analysis, and graphic display at watershed and subwatershed scales. For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org).

  14. a

    San Francisco Bay Trail Gaps

    • hub.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Aug 23, 2024
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    MTC/ABAG (2024). San Francisco Bay Trail Gaps [Dataset]. https://hub.arcgis.com/maps/MTC::san-francisco-bay-trail-gaps
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    MTC/ABAG
    License

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

    Area covered
    Description

    About the Bay TrailThe San Francisco Bay Trail is an interconnected system of on- and off-street trails circumnavigating San Francisco and San Pablo Bays. The ultimate vision for the Bay Trail is a continuous, 500-mile trail around San Francisco and San Pablo Bays serving 47 cities in all nine Bay Area counties. As of 2024, 352 miles (70%) of the 500-mile vision have been constructed. The Bay Trail welcomes a variety of users including people who walk, bike, and roll. It is intended to be used for many purposes including recreation, commuting to work and school, running errands, accessing transit, and visiting friends and family. The Open Data viewer is intended for general display of features and is not appropriate for feature exploration. Use the feature map viewer to explore trail feature attributes through symbology and filtering, or print a basic map. About the Bay Trail Gap Closure Implementation PlanThe Bay Trail Gap Closure Implementation Plan (BTGCIP) sets priorities for future work to complete the vision of the San Francisco Bay Trail—an interconnected system of on- and off-street trails circumnavigating San Francisco and San Pablo Bays. Implementation of the trail began in the early 1990s and continues today. The purpose of the BTGCIP is to identify and evaluate segments of the Bay Trail and Connector Trails that are currently missing (i.e., trail gaps) in order to prioritize their design and construction as the full build-out of the Bay Trail is implemented.

    For more details about the Bay Trail Gap Closure Implementation Plan, scoring methodology, and results, please visit the Bay Trail Gap Closure Implementation plan website and interactive map.HistorySenate Bill 100, authored by then-state Senator Bill Lockyer and passed into law in 1987, directed the Association of Bay Area Governments (ABAG) to develop a plan for this regional trail system including a specific alignment for the Bay Trail.The Metropolitan Transportation Commission works with ABAG to implement the Bay Trail Plan, adopted by ABAG in July 1989. It includes a proposed alignment; a set of policies to guide the future selection, design, and construction of routes; and strategies for implementation and financing. Since its inception, the Bay Trail Plan has enjoyed widespread support in the region.

  15. a

    NBEP Study Areas with Town Boundaries NBEP 2017 (shapefile)

    • hub.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated Aug 20, 2020
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    NBEP_GIS (2020). NBEP Study Areas with Town Boundaries NBEP 2017 (shapefile) [Dataset]. https://hub.arcgis.com/datasets/d70caca7abd74e78a23d6942d0fb4ed1
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    Dataset updated
    Aug 20, 2020
    Dataset authored and provided by
    NBEP_GIS
    Area covered
    Description

    Narragansett Bay, Little Narragansett Bay, and the Southwest Coastal Ponds are the three estuarine study areas under the purview of the Narragansett Bay Estuary Program. This dataset represents the areas of landscape that drain into NBEP’s estuarine study areas, divided by town boundaries. Detailed town boundaries from state sources (MassGIS 2014; RIGIS 2001) were merged to a seamless dataset and coastal towns were updated with NBEP’s estuarine coastline delineation (for details about NBEP’s coastline delineation, see metadata for BAYS_NBEP2019). This dataset is intended for use in general planning, GIS analysis, and mapping at watershed and subwatershed scales. For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org) or contact Julia.twichell@nbep.org.

  16. a

    Watershed Protection Area Boundaries NBEP2017 (shapefile)

    • hub.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated Dec 31, 2019
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    NBEP_GIS (2019). Watershed Protection Area Boundaries NBEP2017 (shapefile) [Dataset]. https://hub.arcgis.com/datasets/a6afd97e526442d28dd26db35099e549
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    Dataset updated
    Dec 31, 2019
    Dataset authored and provided by
    NBEP_GIS
    Area covered
    Description

    Narragansett Bay, Little Narragansett Bay, and the Southwest Coastal Ponds are the three estuarine study areas under the purview of the Narragansett Bay Estuary Program. This dataset represents Watershed Protection Areas (WPAs) that drain, directly and indirectly, into NBEP’s estuarine study areas. WPAs represent watershed management focal areas that are nested within NBEP river basins. The Rhode Island Department of Environmental Management (RIDEM) defined WPAs for the purpose of developing watershed management plans. Each WPA encompasses one or more HUC12 subwatersheds, but some WPAs are not consistent with HUC12 drainage boundaries (e.g., Aquidneck Island). RIDEM and MassDEP have developed approaches to support watershed management plans that consider the geographical location, in some cases at varying scales, and the work conducted by different partners within the watershed. In the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org), indicator results are reported for WPAs to provide information that supports these efforts. The Estuary Program merged RIDEM’s WPAs and HUC12 subwatersheds in Massachusetts (this scale is comparable with RIDEM’s definition of WPAs). Based on early input by partners across the watershed, certain WPAs in Massachusetts were defined by grouping or dividing out HUC12 subwatersheds to capture special areas of interest for various watershed groups, for example, the Segreganset River watershed and Mill River watershed in Massachusetts. Coastal WPAs were updated with NBEP’s estuarine coastline delineation (for details about NBEP’s coastline delineation, see metadata for BAYS_NBEP2019). This dataset is intended for use in general planning, GIS analysis, and mapping at watershed and subwatershed scales. For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org).

  17. Maryland Critical Areas - Critical Area Counties

    • data.imap.maryland.gov
    • hub.arcgis.com
    Updated Jul 27, 2021
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    ArcGIS Online for Maryland (2021). Maryland Critical Areas - Critical Area Counties [Dataset]. https://data.imap.maryland.gov/datasets/maryland-critical-areas-critical-area-counties/about
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    Dataset updated
    Jul 27, 2021
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    In 1984, the General Assembly enacted the Chesapeake Bay Critical Area Act to regulate development, manage land use and conserve natural resources on land in those areas designated as Critical Area. For this document, the Critical Area is all land and water areas within 1000 feet of the tidal waters' edge or from the landward edge of adjacent tidal wetlands and the lands under them. Georeferenced digital data files of the critical Area have been produced for Baltimore City and the 16 Maryland counties with land located within the Critical Area. The digital maps produced for each jurisdiction are polygons depicting the Critical Area and the land use classifications recognized by the Chesapeake Bay Critical Area Commission (CBCAC). Each jurisdiction is a separate file. The data were produced from hard copy parcel maps originally submitted by the counties as part of the requirements for developing their Critical Area Program. For the purpose of the MD iMap web service the Critical Area Data is displayed by two data layers, one general layer and one layer showing the available critical area data for local towns.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link: https://mdgeodata.md.gov/imap/rest/services/Environment/MD_CriticalAreas/MapServer/1

  18. Vegetation - Ballona Wetlands [ds2966]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +3more
    Updated Sep 5, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - Ballona Wetlands [ds2966] [Dataset]. https://gis.data.ca.gov/maps/CDFW::vegetation-ballona-wetlands-ds2966
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Description

    California Department of Fish and Game (DFG) ecologists conducted field reconnaissance for this project and Santa Monica Bay Restoration Commission assisted with field data collection. Under contract to the DFG, GreenInfo Network digitized a fine-scale vegetation map of the Ballona Wetlands Ecological Reserve (BWER). The mapping study area consists of approximately 600 acres within Ballona Wetlands Ecological Reserve of Los Angeles County, California. CNPS under separate contract and in collaboration with California Department of Fish and Wildlife VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS).This map study was initiated to assist in restoration planning for the Ballona Wetland Enhancement Project, which aims to restore and enhance native habitats on BWER and provide public access and recreational opportunities. The primary purpose of CDFW’s goal of developing fine-scale digital vegetation maps is part of the California Biodiversity Initiative Roadmap of 2018. The mapping study area consists of approximately 600 acres within Ballona Wetlands Ecological Reserve of Los Angeles County, California. Reconnaissance was conducted by CDFW ecologists on May 9-11, 2006 to collect a preliminary list of vegetation types to accurately represent the study area. On June 13, 2006, I.K. Curtis Aerial Photography took a true color orthophoto at 1-foot pixel resolution (±1:16,800) under contract to the Coastal Conservancy and Brad Henderson (CDFW) combined the preliminary vegetation list to manually draw polygons overlaid the air photo. GreenInfo used the drawing and air photo for a digitized map draft of polygons to be verified and assessed by field crews for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes on June 19-22, 2007. Field crews noted 8 exotic, invasive species in the map polygons worthy of special interest in regards to restoration planning decisions. Field reconnaissance enhanced map quality. There was a total of 61 mapping classes. No accuracy assessment of this map has been performed because ecologists visited every polygon in the field. For detailed information, please refer to the following report:Vegetation Classification and Mapping Program, California Department of Fish and Game. Vegetation Map of Ballona Wetlands Ecological Reserve, Los Angeles County, California, 2007. California Department of Fish and Game; 2007. Available from: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=16316

  19. a

    Community Vulnerability (BCDC 2020)

    • data-bcdc.opendata.arcgis.com
    • data.bayareametro.gov
    • +6more
    Updated Aug 13, 2020
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    San Francisco Bay Conservation & Development Commission (2020). Community Vulnerability (BCDC 2020) [Dataset]. https://data-bcdc.opendata.arcgis.com/datasets/db34fddb849f4574ae0a39dd564d028a
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    Dataset updated
    Aug 13, 2020
    Dataset authored and provided by
    San Francisco Bay Conservation & Development Commission
    Area covered
    Description

    The San Francisco Bay Conservation and Development Commission Adapting to Rising Tides Program developed a dataset to better understand community vulnerability to current and future flooding due to sea level rise and storm surges. This data has been used in the Adapting To Rising Tides Bay Area Sea Level Rise Vulnerability and Assessment project as well as helping inform the implementation of the BCDC Environmental Justice and Social Equity Bay Plan amendment. The community vulnerability dataset contains four categories of information: 1. Social Vulnerability Indicators: Certain socioeconomic characteristics may reduce ability to prepare for, respond to, or recover from a hazard event. Census block groups with high concentrations (relative to the nine county Bay Area) of these characteristics are flagged as socially vulnerable, with each block group assigned a rank of highest, high, moderate, and low. Data is currently from American Community Survey (ACS) 2018 5-year estimates but is anticipated to be updated as new ACS 5-year estimates become available. 2. Contamination Vulnerability Indicators: The presence of contaminated lands and water raises health and environmental justice concerns, which worsen with flooding and sea level rise. A rank of highest, high, moderate, and lower for the severity of contamination in each block group was calculated using data compiled by CalEPA Office of Environmental Health Hazard Assessment (OEHHA) for use in CalEnviroScreen 3.0. 3. Residential Exposure to Sea Level Rise: Calculated by joining Metropolitan Transportation Commission 2010 residential parcel data with 2017 ART Bay Area Sea Level Rise and Shoreline Analysis data, FEMA 100 and 500 year flood zone data, and San Francisco 100-year precipitation data to generate the number of residential units exposed at each water level summed by block group. This methodology assumes that once a parcel is exposed to any amount of flooding, the entire number of residential units within that parcel are considered impacted. 4. Complementary Community Vulnerability Screening Tools: Many screening approaches exist to characterize disadvantaged or vulnerable communities. Often in the Bay Area, different designations of disadvantaged/vulnerable communities are located in the same area. It is recommended to use the ART approach in combination with other complementary tools and designations. The following are included in this shapefile as fields for cross-referencing: CalEnviroScreen 3.0 total score, Metropolitan Transportation Commission Community of Concern designation, UC Berkeley Displacement and Gentrification Typologies.Data and resources can be accessed at https://www.bcdc.ca.gov/data/community.html. For information about data development and access please review the Community Vulnerability User Guide and BCDC’s Github Repository. For additional descriptions of GIS methods used in ART Bay Area, please see the ART Bay Area Report Appendix: GIS Data and Methods. For more information, please contact GIS@bcdc.ca.gov.

  20. D

    Dataset Alerts - Open and Monitoring

    • datasf.org
    • data.sfgov.org
    • +1more
    application/rdfxml +5
    Updated Jun 20, 2025
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    (2025). Dataset Alerts - Open and Monitoring [Dataset]. https://datasf.org/opendata/
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    json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

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MTC/ABAG (2021). San Francisco Bay Region Roadways [Dataset]. https://opendata-mtc.opendata.arcgis.com/datasets/san-francisco-bay-region-roadways
Organization logoOrganization logo

San Francisco Bay Region Roadways

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 3, 2021
Dataset provided by
Metropolitan Transportation Commission
Association of Bay Area Governmentshttps://abag.ca.gov/
Authors
MTC/ABAG
Area covered
Description

Roadways (streets and highways) for the San Francisco Bay Region. Feature set was assembled using all roads county-based 2021 TIGER/Line shapefiles by the Metropolitan Transportation Commission.The All Roads shapefiles includes all features within the Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB) Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.The feature set contains multiple overlapping road segments where a segment is associated with more than one road feature. For example, if a road segment is associated with US Route 36 and State Highway 7 and 28th Street, the route will contain three spatially coincident segments, each with a different name. The roadway feature set contains the set of unique road segments for each county, along with other linear features.Primary roads are generally divided limited-access highways within the Federal interstate highway system or under state management. Interchanges and ramps distinguish these roads, and some are toll highways.Secondary roads are main arteries, usually in the U.S. highway, state highway, or county highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They often have both a local name and a route number.

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