45 datasets found
  1. a

    Bryan Fire Stations

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan Fire Stations [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/4c2f35d1da4b4826bb4334afc249cd0a
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    Fire stations in the City of Bryan

  2. TIGER/Line Shapefile, 2022, County, Bryan County, GA, All Roads

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 27, 2024
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    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, Bryan County, GA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-bryan-county-ga-all-roads
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Bryan 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. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) 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, and stairways.

  3. a

    Bryan Zoning

    • georgia-coastal-tree-canopy-2010-2019-gtmaps.hub.arcgis.com
    Updated Apr 22, 2024
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    tgiarrusso (2024). Bryan Zoning [Dataset]. https://georgia-coastal-tree-canopy-2010-2019-gtmaps.hub.arcgis.com/datasets/d4da6c967e0d46699a4a90691a6a6c4f
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    Dataset updated
    Apr 22, 2024
    Dataset authored and provided by
    tgiarrusso
    Area covered
    Description

    Bryan county zoning layer with 2010 and 2019 canopy values. Data obtained from https://www.bryancountyga.gov/government/departments-a-g/gis-mapping/interactive-maps in March 2024.

  4. K

    Bryan County, Georgia Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
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    Bryan County, Georgia, Bryan County, Georgia Parcels [Dataset]. https://koordinates.com/layer/108868-bryan-county-georgia-parcels/
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    mapinfo tab, csv, dwg, geodatabase, pdf, geopackage / sqlite, mapinfo mif, shapefile, kmlAvailable download formats
    Dataset authored and provided by
    Bryan County, Georgia
    Area covered
    Description

    Geospatial data about Bryan County, Georgia Parcels. Export to CAD, GIS, PDF, CSV and access via API.

  5. a

    Downtown Bryan Building Footprint

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Downtown Bryan Building Footprint [Dataset]. https://hub.arcgis.com/datasets/8e73edbdf25940c49c82d0a0023ce9b8
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    Downtown Bryan building footprints.

  6. a

    Bryan City Limits 2013

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan City Limits 2013 [Dataset]. https://hub.arcgis.com/datasets/9d3eaf87c2ab4886b586edb768e12d5a
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    2013 Bryan City Limits

  7. Digital Geologic-GIS Map of the Brian Head Quadrangle, Utah (NPS, GRD, GRI,...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Brian Head Quadrangle, Utah (NPS, GRD, GRI, CEBR, BRHE digital map) adapted from a Utah Geological Survey Map by Rowley, Biek, Sable, Boswell, Vice, Hatfield, Maxwell and Anderson (2013) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-the-brian-head-quadrangle-utah-nps-grd-gri-cebr-brhe-digital-m
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Brian Head, Utah
    Description

    The Digital Geologic-GIS Map of the Brian Head Quadrangle, Utah 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 (brhe_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 (brhe_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 (brhe_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.) this file (cebr_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (cebr_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 (brhe_geology_metadata_faq.pdf). Please read the cebr_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: Utah 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 (brhe_geology_metadata.txt or brhe_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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).

  8. a

    Bryan Parks 2010

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan Parks 2010 [Dataset]. https://hub.arcgis.com/maps/dd765062b00e4d5bae0954fc14a6ada7_0/about
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    City parks in Bryan, Texas. 2010

  9. a

    1013 Bryan Ave.

    • hub.arcgis.com
    • community-gis-portal-seabrooktx.hub.arcgis.com
    Updated Oct 10, 2023
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    rpeterson_seabrooktx (2023). 1013 Bryan Ave. [Dataset]. https://hub.arcgis.com/documents/b61bbd421b2c4648ad86f8c296ca7b70
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    Dataset updated
    Oct 10, 2023
    Dataset authored and provided by
    rpeterson_seabrooktx
    Description

    This document is an Evaluation Certificate that represents the given Address listed in the title of the document. Some may vary in appearance due to age and documentation updates.

  10. d

    California State Waters Map Series--Offshore of Coal Oil Point Web Services

    • search.dataone.org
    • dataone.org
    • +3more
    Updated Sep 14, 2017
    + more versions
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    Samuel Y. Johnson; Peter Dartnell; Guy R. Cochrane; Nadine E. Golden; Eleyne L. Phillips; Andrew C. Ritchie; Rikk G. Kvitek; Bryan E. Dieter; Bryan E. Dieter; James E. Conrad; Thomas D. Lorenson; H. Gary Greene; Lisa M. Krigsman; Charles A. Endris; Gordon G. Seitz; David P. Finlayson; Carlos I. Gutierrez; Ira Leifer; Ray W. Sliter; Mercedes D. Erdey; Florence L. Wong; Mary M. Yoklavich; Amy E. Draut; Patrick E. Hart; Frances D. Hostettler; Kenneth E. Peters; Keith A Kvenvolden; Robert J. Rosenbauer; Grace Fong; Susan A. Cochran (2017). California State Waters Map Series--Offshore of Coal Oil Point Web Services [Dataset]. https://search.dataone.org/view/acc7efe8-36b7-4e7a-925b-6724d91f3ade
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    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Samuel Y. Johnson; Peter Dartnell; Guy R. Cochrane; Nadine E. Golden; Eleyne L. Phillips; Andrew C. Ritchie; Rikk G. Kvitek; Bryan E. Dieter; Bryan E. Dieter; James E. Conrad; Thomas D. Lorenson; H. Gary Greene; Lisa M. Krigsman; Charles A. Endris; Gordon G. Seitz; David P. Finlayson; Carlos I. Gutierrez; Ira Leifer; Ray W. Sliter; Mercedes D. Erdey; Florence L. Wong; Mary M. Yoklavich; Amy E. Draut; Patrick E. Hart; Frances D. Hostettler; Kenneth E. Peters; Keith A Kvenvolden; Robert J. Rosenbauer; Grace Fong; Susan A. Cochran
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    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 Coal Oil Point 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 http://dx.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 Coal Oil Point map area data layers. Data layers are symbolized as shown on the associated map sheets.
    
  11. c

    SDOT.V SU PERMIT USE IMPACT DISS

    • s.cnmilf.com
    • catalog.data.gov
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). SDOT.V SU PERMIT USE IMPACT DISS [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/sdot-v-su-permit-use-impact-diss
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    An updated Permit Data Model that includes relationships between the component feature classes. The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number. The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS). The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts. This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit. Service is constructed for use in the Right of Way Map. Data set to Nightly Refresh. Any Questions or Concerns contact the SDOT Street Use Data and GIS Team: Craig Moore/Bryan Bommersbach

  12. a

    Bryan Zoning 2010

    • hub.arcgis.com
    Updated May 14, 2018
    + more versions
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    mapsgis (2018). Bryan Zoning 2010 [Dataset]. https://hub.arcgis.com/maps/bf27837f4e034989a8994e53078e14e7_0/about
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    Zoning for the City of Bryan. 2010

  13. u

    Data from: The Long-Term Agroecosystem Research (LTAR) Network Standard GIS...

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    zip
    Updated Dec 19, 2023
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    Gerardo Armendariz; Alisa W. Coffin; David Archer; Dan Arthur; Alycia Bean; Dawn Browning; Bryan Carlson; Pat Clark; Colton Flynn; Sarah Goslee; Veronica Hall; Chandra Holifield Collins; Hsun-Yi Hsieh; Jane M. F. Johnson; Nicole Kaplan; Mark Kautz; Tim Kettler; Kevin King; Glenn Moglen; Marty Schmer; Vivienne Sclater; Sheri Spiegal; Patrick Stark; Jedediah Stinner; Ken Sudduth; Stephen Teet; Steve Wagner; Lindsey Yasarer (2023). The Long-Term Agroecosystem Research (LTAR) Network Standard GIS Data Layers, 2020 version [Dataset]. http://doi.org/10.15482/USDA.ADC/1521161
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    zipAvailable download formats
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Ag Data Commons
    Authors
    Gerardo Armendariz; Alisa W. Coffin; David Archer; Dan Arthur; Alycia Bean; Dawn Browning; Bryan Carlson; Pat Clark; Colton Flynn; Sarah Goslee; Veronica Hall; Chandra Holifield Collins; Hsun-Yi Hsieh; Jane M. F. Johnson; Nicole Kaplan; Mark Kautz; Tim Kettler; Kevin King; Glenn Moglen; Marty Schmer; Vivienne Sclater; Sheri Spiegal; Patrick Stark; Jedediah Stinner; Ken Sudduth; Stephen Teet; Steve Wagner; Lindsey Yasarer
    License

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

    Description

    The USDA Long-Term Agroecosystem Research was established to develop national strategies for sustainable intensification of agricultural production. As part of the Agricultural Research Service, the LTAR Network incorporates numerous geographies consisting of experimental areas and locations where data are being gathered. Starting in early 2019, two working groups of the LTAR Network (Remote Sensing and GIS, and Data Management) set a major goal to jointly develop a geodatabase of LTAR Standard GIS Data Layers. The purpose of the geodatabase was to enhance the Network's ability to utilize coordinated, harmonized datasets and reduce redundancy and potential errors associated with multiple copies of similar datasets. Project organizers met at least twice with each of the 18 LTAR sites from September 2019 through December 2020, compiling and editing a set of detailed geospatial data layers comprising a geodatabase, describing essential data collection areas within the LTAR Network.
    The LTAR Standard GIS Data Layers geodatabase consists of geospatial data that represent locations and areas associated with the LTAR Network as of late 2020, including LTAR site locations, addresses, experimental plots, fields and watersheds, eddy flux towers, and phenocams. There are six data layers in the geodatabase available to the public. This geodatabase was created in 2019-2020 by the LTAR network as a national collaborative effort among working groups and LTAR sites. The creation of the geodatabase began with initial requests to LTAR site leads and data managers for geospatial data, followed by meetings with each LTAR site to review the initial draft. Edits were documented, and the final draft was again reviewed and certified by LTAR site leads or their delegates. Revisions to this geodatabase will occur biennially, with the next revision scheduled to be published in 2023. Resources in this dataset:Resource Title: LTAR Standard GIS Data Layers, 2020 version, File Geodatabase. File Name: LTAR_Standard_GIS_Layers_v2020.zipResource Description: This file geodatabase consists of authoritative GIS data layers of the Long-Term Agroecosystem Research Network. Data layers include: LTAR site locations, LTAR site points of contact and street addresses, LTAR experimental boundaries, LTAR site "legacy region" boundaries, LTAR eddy flux tower locations, and LTAR phenocam locations.Resource Software Recommended: ArcGIS,url: esri.com Resource Title: LTAR Standard GIS Data Layers, 2020 version, GeoJSON files. File Name: LTAR_Standard_GIS_Layers_v2020_GeoJSON_ADC.zipResource Description: The contents of the LTAR Standard GIS Data Layers includes geospatial data that represent locations and areas associated with the LTAR Network as of late 2020. This collection of geojson files includes spatial data describing LTAR site locations, addresses, experimental plots, fields and watersheds, eddy flux towers, and phenocams. There are six data layers in the geodatabase available to the public. This dataset was created in 2019-2020 by the LTAR network as a national collaborative effort among working groups and LTAR sites. Resource Software Recommended: QGIS,url: https://qgis.org/en/site/

  14. Z

    North American Lake-River Routing Product v 2.0, derived by BasinMaker GIS...

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Apr 29, 2021
    + more versions
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    James R. Craig (2021). North American Lake-River Routing Product v 2.0, derived by BasinMaker GIS Toolbox [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3667676
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    Dataset updated
    Apr 29, 2021
    Dataset provided by
    Juliane Mai
    Hongren Shen
    Bryan A. Tolson
    Ming Han
    James R. Craig
    Nandita Basu
    Frezer Awol
    Simon Lin
    License

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

    Area covered
    North America
    Description

    Thank you for your interest in our lake-river routing product. Please go to this website to download and learn more about the Routing product and BasinMaker.

    In your publication using the version 2.0 of the routing product, please cite the following paper:

    BasinMaker: a GIS toolbox for distributed watershed delineation of complex lake and river routing networks. Han, M., H. Shen, B. A. Tolson, J. R. Craig, J. Mai, S. Lin, N. Basu, F. Awol, submitted April 2021 to Environmental Modelling and Software.

    (But please also check Basin Maker website where you downloaded this for most up to date citation)

    Note that version 1.0 of this product covered only Canada and used a different DEM and is described in the following paper:

    Han, M., J. Mai, B. A. Tolson, J. R. Craig, E. Gaborit, H. Liu, K. Lee, Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada, Canadian Water Resources Journal, 45(3), doi.org/10.1080/07011784.2020.1772116.

    The lake-river routing product provides a routing structure (which here refers to both the topology of the stream network and the contributing areas to individual lakes and stream reaches), to correctly represent lakes and be easily customized based on various user requirements.

    BasinMaker, which is a GIS toolbox to delineate watersheds with lakes, was used to develop this routing product. In this routing product, each lake is represented by a lake catchment. A lake catchment is defined by the following rules:1) The extent of the lake catchment will fully cover the lake; 2) the outlet of the lake catchment is the same as the outlet of the lake; 3) each lake’s inlets are treated as a catchment outlet. In this way, both inflow and outflow of each lake can be explicitly simulated by hydrologic routing models.

    Support for BasinMaker and the North American routing product development came from multiple sources:

    Primary graduate student support for BasinMaker contributors was provided by NRCan/Canadian Forest Service G&C Grants #129677 and #129816 and Dr. Tolson's NSERC Discovery Grant.

    Secondary preliminary graduate student support for BasinMaker first author Ming Han was provided by Canada First Research Excellence Fund provided to the Lake Futures project of the Global Water Futures Project.

    Some additional secondary support was also provided via the CANARIE research software program, grant #RS3-124 to co-author Juliane Mai.

  15. d

    California State Waters Map Series--Offshore of Point Reyes Web Services

    • search.dataone.org
    • catalog.data.gov
    Updated Sep 14, 2017
    + more versions
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    Janet T. Watt; Peter Dartnell; Nadine E. Golden; H. Gary Greene; Mercedes D. Erdey; Guy R. Cochrane; Samuel Y. Johnson; Stephen R. Hartwell; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; Ray W. Sliter; Lisa M. Krigsman; Erik N. Lowe; John L. Chin (2017). California State Waters Map Series--Offshore of Point Reyes Web Services [Dataset]. https://search.dataone.org/view/4ea5faf6-34e2-40b3-a127-73a8dbc14580
    Explore at:
    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Janet T. Watt; Peter Dartnell; Nadine E. Golden; H. Gary Greene; Mercedes D. Erdey; Guy R. Cochrane; Samuel Y. Johnson; Stephen R. Hartwell; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; Ray W. Sliter; Lisa M. Krigsman; Erik N. Lowe; John L. Chin
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    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 Point Reyes 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 http://dx.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 Point Reyes map area data layers. Data layers are symbolized as shown on the associated map sheets.
    
  16. d

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

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Jun 1, 2017
    + more versions
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    Guy R. Cochrane; Peter Dartnell; H. Gary Greene; Samuel Y. Johnson; Nadine E. Golden; Stephen R. Hartwell; Bryan E. Dieter; Michael W. Mansion; Ray W. Sliter; Stephanie L. Ross; Janet T. Watt; Charles A. Endris; Rikk G. Kvitek; Brian D. Edwards; Eleyne L. Phillips; Mercedes D. Erdey; Carrie K. Bretz; John L. Chin; Carrie K. Bretz (2017). California State Waters Map Series--Offshore of Half Moon Bay Web Services [Dataset]. https://search.dataone.org/view/30b5b382-4e43-4723-b06b-51faa842c4c1
    Explore at:
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Guy R. Cochrane; Peter Dartnell; H. Gary Greene; Samuel Y. Johnson; Nadine E. Golden; Stephen R. Hartwell; Bryan E. Dieter; Michael W. Mansion; Ray W. Sliter; Stephanie L. Ross; Janet T. Watt; Charles A. Endris; Rikk G. Kvitek; Brian D. Edwards; Eleyne L. Phillips; Mercedes D. Erdey; Carrie K. Bretz; John L. Chin; Carrie K. Bretz
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    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 ... Visit https://dataone.org/datasets/30b5b382-4e43-4723-b06b-51faa842c4c1 for complete metadata about this dataset.

  17. NCCOS Assessment: Underwater Video for Ground Validation and Accuracy...

    • fisheries.noaa.gov
    • datasets.ai
    • +3more
    Updated Nov 1, 2017
    + more versions
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    Bryan Costa (2017). NCCOS Assessment: Underwater Video for Ground Validation and Accuracy Assessment of Benthic Habitat Maps of the Insular Shelf South of St. Thomas and St. John, U.S. Virgin Islands, 2010-03-20 to 2017-02-10 [Dataset]. https://www.fisheries.noaa.gov/inport/item/50381
    Explore at:
    csv - comma separated values (text), esri rest service, mp4Available download formats
    Dataset updated
    Nov 1, 2017
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Bryan Costa
    Time period covered
    Mar 20, 2010 - Feb 10, 2017
    Area covered
    Description

    The presence and absence of the four substrate and four biological cover types were documented at 1,353 locations on the insular shelf south of St. Thomas and St. John. At each location, an underwater camera system was used to collect high definition (HD) video at 30 frames per second at 1080x1920 resolution. This GIS dataset depicts the location of these underwater videos, as well as the name...

  18. a

    Bryan Canopy Vector Data

    • georgia-coastal-tree-canopy-2010-2019-gtmaps.hub.arcgis.com
    Updated Oct 15, 2024
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    tgiarrusso (2024). Bryan Canopy Vector Data [Dataset]. https://georgia-coastal-tree-canopy-2010-2019-gtmaps.hub.arcgis.com/datasets/0d8439da545e427198195621fffc4216
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    tgiarrusso
    Area covered
    Description

    2010 and 2019 Canopy data layers for Bryan county, Georgia. Canopy derived from NAIP imagery and aggregated to several geographies: counties, census designated places, HUC 8 and HUC 12 watersheds, census tracts, zoning, and protected areas. Click on individual layers below for more information.

  19. d

    California State Waters Map Series--Offshore of Salt Point Web Services

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Oct 29, 2016
    + more versions
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    Samuel Y. Johnson; Peter Dartnell; Nadine E. Golden; Stephen R. Hartwell; H. Gary Greene; Mercedes D. Erdey; Guy R. Cochrane; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; Janet T. Watt; Lisa M. Krigsman; Ray W. Sliter; Erik N. Lowe; John L. Chin (2016). California State Waters Map Series--Offshore of Salt Point Web Services [Dataset]. https://search.dataone.org/view/253bc2a5-c3c7-4126-a4a9-d112ab8b6e11
    Explore at:
    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Samuel Y. Johnson; Peter Dartnell; Nadine E. Golden; Stephen R. Hartwell; H. Gary Greene; Mercedes D. Erdey; Guy R. Cochrane; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; Janet T. Watt; Lisa M. Krigsman; Ray W. Sliter; Erik N. Lowe; John L. Chin
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    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 Salt Point 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 pho... Visit https://dataone.org/datasets/253bc2a5-c3c7-4126-a4a9-d112ab8b6e11 for complete metadata about this dataset.

  20. d

    Data from: California State Waters Map Series--Offshore of Pacifica Web...

    • search.dataone.org
    • gimi9.com
    • +1more
    Updated Jun 1, 2017
    + more versions
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    Brian D. Edwards; Eleyne L. Phillips; Peter Dartnell; H. Gary Greene; Carrie K. Bretz; Rikk G. Kvitek; Stephen R. Hartwell; Samuel Y. Johnson; Guy R. Cochrane; Bryan E. Dieter; Ray W. Sliter; Stephanie L. Ross; Nadine E. Golden; Janet T. Watt; John L. Chin; Mercedes D. Erdey; Lisa M. Krigsman; Michael W. Mansion; Charles A. Endris (2017). California State Waters Map Series--Offshore of Pacifica Web Services [Dataset]. https://search.dataone.org/view/4a358a04-a750-4205-ab89-54a05f50eb9e
    Explore at:
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Brian D. Edwards; Eleyne L. Phillips; Peter Dartnell; H. Gary Greene; Carrie K. Bretz; Rikk G. Kvitek; Stephen R. Hartwell; Samuel Y. Johnson; Guy R. Cochrane; Bryan E. Dieter; Ray W. Sliter; Stephanie L. Ross; Nadine E. Golden; Janet T. Watt; John L. Chin; Mercedes D. Erdey; Lisa M. Krigsman; Michael W. Mansion; Charles A. Endris
    Time period covered
    Jan 1, 2006 - Jan 1, 2015
    Area covered
    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 Pacifica 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 http://dx.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 Pacifica map area data layers. Data layers are symbolized as shown on the associated map sheets.
    
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mapsgis (2018). Bryan Fire Stations [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/4c2f35d1da4b4826bb4334afc249cd0a

Bryan Fire Stations

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Dataset updated
May 14, 2018
Dataset authored and provided by
mapsgis
Area covered
Description

Fire stations in the City of Bryan

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