63 datasets found
  1. a

    Bryan City Limits 2017

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan City Limits 2017 [Dataset]. https://hub.arcgis.com/datasets/abcd5908bac94f888c8620ef7c2de2aa
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    2017 Bryan City Limits

  2. a

    Bryan Parks 2017

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan Parks 2017 [Dataset]. https://hub.arcgis.com/datasets/48e3f71e79764918b0ff01c55240180c
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    City parks in Bryan, Texas. 2017

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

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 16, 2025
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    National Park Service (2025). 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://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
    Oct 16, 2025
    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).

  4. c

    SU Permit Data Model Relationships

    • s.cnmilf.com
    • data.seattle.gov
    • +3more
    Updated Oct 18, 2025
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    City of Seattle ArcGIS Online (2025). SU Permit Data Model Relationships [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/su-permit-data-model-relationships
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    Dataset updated
    Oct 18, 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

  5. u

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

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    zip
    Updated Nov 21, 2025
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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 (2025). 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
    Nov 21, 2025
    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/

  6. a

    Bryan Building Footprints

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan Building Footprints [Dataset]. https://hub.arcgis.com/datasets/96543bbd55ac4bd1a41dd8502791c00c
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    2005 Building footprints for the city of Bryan

  7. n

    Tioga County Parcels

    • data.gis.ny.gov
    Updated Mar 18, 2023
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    ShareGIS NY (2023). Tioga County Parcels [Dataset]. https://data.gis.ny.gov/datasets/sharegisny::tioga-county-parcels/explore?showTable=true
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    Dataset updated
    Mar 18, 2023
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Contains all of the parcel features in Tioga County, NY. Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere. Data current as of 2025. Contact Information: Bryan Goodrich GIS Manager Information Technology & Communications SystemsTioga County, New York 56 Main Street, Owego, NY 13827 Office: (607) 687-8295 Fax: (607) 223-7004

  8. d

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

    • dataone.org
    • search.dataone.org
    • +2more
    Updated Jun 1, 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://dataone.org/datasets/34ddd073-75a0-4f11-a514-70e4087b13f8
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    Dataset updated
    Jun 1, 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... Visit https://dataone.org/datasets/34ddd073-75a0-4f11-a514-70e4087b13f8 for complete metadata about this dataset.

  9. a

    Bryan Zoning 2017

    • hub.arcgis.com
    Updated May 14, 2018
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    mapsgis (2018). Bryan Zoning 2017 [Dataset]. https://hub.arcgis.com/datasets/5824594c752e42ff83c9705c6bcec1ba
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    Dataset updated
    May 14, 2018
    Dataset authored and provided by
    mapsgis
    Area covered
    Description

    Zoning for the City of Bryan. 2017

  10. a

    1013 Bryan Ave.

    • community-gis-portal-seabrooktx.hub.arcgis.com
    Updated Oct 10, 2023
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    rpeterson_seabrooktx (2023). 1013 Bryan Ave. [Dataset]. https://community-gis-portal-seabrooktx.hub.arcgis.com/items/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.

  11. g

    Johnson, Brian, ジョンソン, ブライアン - High-resolution urban land-use maps of the...

    • gimi9.com
    Updated Aug 18, 2021
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    (2021). Johnson, Brian, ジョンソン, ブライアン - High-resolution urban land-use maps of the Philippines (2018-2050) | gimi9.com [Dataset]. https://gimi9.com/dataset/136_187_101_184_5000_dataset_oai-irdb-nii-ac-jp-07465-0005481132/
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    Dataset updated
    Aug 18, 2021
    License

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

    Description

    This dataset contains GIS maps (.shp files) of built-up/urban land in the Philippines in 2018 (current) and 2050 (future), considering low/medium/high future urban expansion scenarios. The 2050 urban area maps weregenerated using a cellular automata logistic regression model, which was applied to historical urban area maps and other openly available geospatial datasets. / More information on this dataset can be found in the journal paper entitled "High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines", published inComputers, Environment and Urban Systems. Feel free to email the author (johnson@iges.or.jp) in case of any questions or problems with the maps. / Keywords: Adaptation, Resilient Livelihoods【リソース】Fulltext

  12. d

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

    • search.dataone.org
    • data.usgs.gov
    • +2more
    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.

  13. d

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

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Sep 14, 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/1cbe72b7-7e57-415e-ab47-bb5082e7f184
    Explore at:
    Dataset updated
    Sep 14, 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 photogra... Visit https://dataone.org/datasets/1cbe72b7-7e57-415e-ab47-bb5082e7f184 for complete metadata about this dataset.

  14. d

    Local farm management and landscape effects on native bee pollinators in...

    • search.dataone.org
    • knb.ecoinformatics.org
    Updated Nov 14, 2013
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    NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination; National Center for Ecological Analysis and Synthesis; Christina Kennedy (2013). Local farm management and landscape effects on native bee pollinators in agroecosystems [Dataset]. https://search.dataone.org/view/nceas.993.1
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    Dataset updated
    Nov 14, 2013
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination; National Center for Ecological Analysis and Synthesis; Christina Kennedy
    Time period covered
    Jan 1, 2000 - Jan 1, 2010
    Description

    We compiled studies on pollinator communities on multiple farm sites within an agricultural landscape that was characterized by a gradient in land use intensity and could be spatially characterized by a GIS land cover map. We identified 39 suitable studies on 23 crops in 14 countries on 6 continents based on knowledge of the authors and previous synthetic work. Twenty-six studies have been published in peer-reviewed journals, while 13 were unpublished datasets. Author(s) of each study provided 1) data on bee abundance or visitation, and bee richness for sampled farm sites, 2) spatial locations of sites, 3) GIS data on multi-class land cover surrounding each site, 4) estimates of floral resource quality and nesting quality for different bee guilds for land-cover classes depicted in GIS maps, and 5) local farm management practices (organic or conventional; high or low vegetative diversity). For each study, we applied a quantitative, mechanistic model to predict relative abundance of wild bees for each farm site based on foraging distances and landscape composition data that were coded to capture estimated differences in nesting and floral resources. We also calculated metrics of landscape configuration to characterize heterogeneity, aggregation, patch shape complexity, and inter-patch connectivity surrounding each farm site. We tested the relative importance of landscape composition, landscape configuration, and local farm management as predictors of observed wild bee abundance and richness. These datasets and analyses are used in: C.M. Kennedy, Eric Lonsdorf, Maile C. Neel, Neal M. Williams, Taylor H. Ricketts, Rachel Winfree, Riccardo Bommarco, Claire Brittain, Alana L. Burley, Daniel Cariveau, Luísa G. Carvalheiro, Natacha P. Chacoff, Saul A. Cunningham, Bryan N. Danforth, Jan-Hendrik Dudenhöffer, Elizabeth Elle, Hannah R. Gaines, Claudio Gratton, Sarah S. Greenleaf, Andrea Holzschuh, Rufus Isaacs, Steven K. Javorek, Shalene Jha, Alexandra M. Klein, Kristin Krewenka, Yael Mandelik, Margaret M. Mayfield, Lora Morandin, Lisa A. Neame, Mark Otieno, Mia Park, Simon G. Potts, Maj Rundlöf, Agustin Sáez, Ingolf Steffan-Dewenter, Hisatomo Taki, Julianna K. Tuell, Blandina Felipe Viana, Ruan Veldtman, Catrin Westphal, and Claire Kremen. A global quantitative synthesis of local and landscape effects on native bee pollinators in agroecosystems. In preparation, Ecology Letters.

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

    • fisheries.noaa.gov
    • datasets.ai
    • +3more
    Updated Nov 1, 2017
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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
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    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
    Saint John, U.S. Virgin Islands, Vieques, Saint Thomas, U.S. Virgin Islands, Virgin Passage, NCCOS Research Location > Geographic Area > Coral Reefs, Grammanik Bank Marine Conservation District, NCCOS Research Location > Region > U.S. Caribbean, OCEAN BASIN > Atlantic Ocean > Caribbean Sea /North Atlantic Ocean > Puerto Rico > Culebra Island (18N065W0011), Saint John, U.S. Virgin Islands, Vieques
    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...

  16. d

    California State Waters Map Series--Offshore of Refugio Beach Web Services

    • search.dataone.org
    • data.usgs.gov
    • +2more
    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; Bryan E. Dieter; James E. Conrad; Gordon G. Seitz; H. Gary Greene; Lisa M. Krigsman; Charles A. Endris; Mercedes D. Erdey; Kevin B. Clahan; Ray W. Sliter; Florence L. Wong; Mary M. Yoklavich; Carlos I. Gutierrez; James E. Conrad; Amy E. Draut; Patrick E. Hart (2017). California State Waters Map Series--Offshore of Refugio Beach Web Services [Dataset]. https://search.dataone.org/view/c60046f2-c27d-4c56-bc2f-38b41051b7e8
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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; Bryan E. Dieter; James E. Conrad; Gordon G. Seitz; H. Gary Greene; Lisa M. Krigsman; Charles A. Endris; Mercedes D. Erdey; Kevin B. Clahan; Ray W. Sliter; Florence L. Wong; Mary M. Yoklavich; Carlos I. Gutierrez; James E. Conrad; Amy E. Draut; Patrick E. Hart
    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 Refugio Beach 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/c60046f2-c27d-4c56-bc2f-38b41051b7e8 for complete metadata about this dataset.

  17. d

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

    • search.dataone.org
    • data.usgs.gov
    • +4more
    Updated Apr 13, 2017
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    Samuel Y. Johnson; Peter Dartnell; Nadine E. Golden; Stephen R. Hartwell; H. Gary Greene; Mercedes D. Erdey; Guy R. Cochrane; Janet T. Watt; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; Lisa M. Krigsman; Ray W. Sliter; Erik N. Lowe; John L. Chin (2017). California State Waters Map Series--Offshore of Tomales Point Web Services [Dataset]. https://search.dataone.org/view/969f5f7c-9382-40ee-b9fa-410afd61b086
    Explore at:
    Dataset updated
    Apr 13, 2017
    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; Janet T. Watt; Rikk G. Kvitek; Michael W. Manson; Charles A. Endris; Bryan E. Dieter; 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 Tomales 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 ... Visit https://dataone.org/datasets/969f5f7c-9382-40ee-b9fa-410afd61b086 for complete metadata about this dataset.

  18. d

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

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Jun 1, 2017
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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 (2017). California State Waters Map Series--Offshore of Salt Point Web Services [Dataset]. https://search.dataone.org/view/22eaaea1-1e09-4b5f-875e-beaf34257cee
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    Dataset updated
    Jun 1, 2017
    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/22eaaea1-1e09-4b5f-875e-beaf34257cee for complete metadata about this dataset.

  19. d

    California State Waters Map Series--Drakes Bay Web Services

    • search.dataone.org
    • data.usgs.gov
    • +1more
    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--Drakes Bay Web Services [Dataset]. https://search.dataone.org/view/45510361-914f-4ab3-9ae0-864c4462a2f6
    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 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 im... Visit https://dataone.org/datasets/45510361-914f-4ab3-9ae0-864c4462a2f6 for complete metadata about this dataset.

  20. d

    California State Waters Map Series--Offshore of Scott Creek Web Services

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    Updated Sep 14, 2017
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    Guy R. Cochrane; Peter Dartnell; Samuel Y. Johnson; H. Gary Greene; Mercedes D. Erdey; Bryan E. Dieter; Nadine E. Golden; Charles A. Endris; Stephen R. Hartwell; Rikk G. Kvitek; Clifton W. Davenport; Janet T. Watt; Lisa M. Krigsman; Andrew C. Ritchie; Ray W. Sliter; David P. Finlayson; Katherine L. Maier (2017). California State Waters Map Series--Offshore of Scott Creek Web Services [Dataset]. https://search.dataone.org/view/90abb6dd-21d5-43e5-8149-d9d409ae1699
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    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Guy R. Cochrane; Peter Dartnell; Samuel Y. Johnson; H. Gary Greene; Mercedes D. Erdey; Bryan E. Dieter; Nadine E. Golden; Charles A. Endris; Stephen R. Hartwell; Rikk G. Kvitek; Clifton W. Davenport; Janet T. Watt; Lisa M. Krigsman; Andrew C. Ritchie; Ray W. Sliter; David P. Finlayson; Katherine L. Maier
    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 Scott Creek 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 ph... Visit https://dataone.org/datasets/90abb6dd-21d5-43e5-8149-d9d409ae1699 for complete metadata about this dataset.

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mapsgis (2018). Bryan City Limits 2017 [Dataset]. https://hub.arcgis.com/datasets/abcd5908bac94f888c8620ef7c2de2aa

Bryan City Limits 2017

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

2017 Bryan City Limits

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