Seafloor character of the Oregon outer continental shelf (OCS) proposed wind farm site

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Frequently anticipated questions:


What does this data set describe?

Title:
Seafloor character of the Oregon outer continental shelf (OCS) proposed wind farm site
Abstract:
This seafloor-character raster is part of a data release of the Oregon outer continental shelf (OCS) proposed wind farm map site. The substrate classes mapped in this area have been numbered to indicate combinations of seafloor hardness and ruggedness. The map was created from multibeam echosounder (MBES) bathymetry and backscatter data collected in 2014 and processed in 2015 (Cochrane and others, 2016) and a video supervised classification method described by Cochrane (2008).
Supplemental_Information:
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology.
  1. How might this data set be cited?
    Cochrane, Guy R., 2017, Seafloor character of the Oregon outer continental shelf (OCS) proposed wind farm site: data release DOI:10.5066/F7000069, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    This is part of the following larger work.

    Cochrane, Guy R., 2017, Interpretive data release for Oregon OCS seafloor mapping: Selected lease blocks relevant to renewable energy: U.S. Geological Survey, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -124.790333421
    East_Bounding_Coordinate: -124.57875422
    North_Bounding_Coordinate: 43.565576134
    South_Bounding_Coordinate: 43.285968492
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 01-Sep-2015
    Currentness_Reference:
    2014
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: geoTIFF
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 2561 x 1376 x 1, type Grid Cell
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 10
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -123.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 12.0
      Ordinates (y-coordinates) are specified to the nearest 12.0
      Planar coordinates are specified in Meter
      The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    Attribute Table
    Table containing attribute information associated with the data set. (Source: Producer defined)
    Value
    Seafloor character (Source: Producer defined)
    ValueDefinition
    1Soft-flat
    2Hard-flat
    3Hard-rugged
    Count
    Unknown (Source: Producer defined)
    Range of values
    Minimum:403
    Maximum:2382752
    Entity_and_Attribute_Overview:
    The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Guy R. Cochrane
  2. Who also contributed to the data set?
    Bureau of Ocean Energy Management
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA
    US

    831-427-4747 (voice)
    831-427-4748 (FAX)
    pcmsc_data@usgs.gov

Why was the data set created?

These data are intended for science researchers, students, policy makers, and the general public. These data can be used with geographic information systems or other software to identify local seafloor character.

How was the data set created?

  1. From what previous works were the data drawn?
    Bathymetry (source 1 of 3)
    Cochrane, Guy R., Dartnell, Peter, Hemery, Lenaig G., and Hatcher, Gerry, 2015, Data release for USGS field activity 2014-607-FA, Oregon OCS seafloor mapping: selected lease blocks relevant to renewable energy: U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Type_of_Source_Media: Digital and/or Hardcopy Resources
    Source_Contribution:
    Source information used in support of the development of the data set.
    Backscatter Intensity (source 2 of 3)
    Cochrane, Guy R., Dartnell, Peter, Hemery, Lenaig G., and Hatcher, Gerry, 2015, Data release for USGS field activity 2014-607-FA, Oregon OCS seafloor mapping: selected lease blocks relevant to renewable energy: U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Type_of_Source_Media: Digital and/or Hardcopy Resources
    Source_Contribution:
    Source information used in support of the development of the data set.
    Seafloor video (source 3 of 3)
    Cochrane, Guy R., Dartnell, Peter, Hemery, Lenaig G., and Hatcher, Gerry, 2015, Data release for USGS field activity 2014-607-FA, Oregon OCS seafloor mapping: selected lease blocks relevant to renewable energy: U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Type_of_Source_Media: Digital and/or Hardcopy Resources
    Source_Contribution:
    Source information used in support of the development of the data set.
  2. How were the data generated, processed, and modified?
    Date: 05-Jan-2016 (process 1 of 8)
    Identified rugosity, or terrain ruggedness, from bathymetry using the vector ruggedness (VRM) script tool in the Esri ArcGIS Benthic Terrain Modeler Data sources used in this process:
    • Bathymetry
    Date: 06-Jan-2016 (process 2 of 8)
    Manually classify backscatter intensity raster into hard and soft classes using video supervision. 1 = soft, 2 = hard Data sources used in this process:
    • Backscatter Intensity, Seafloor video
    Date: 06-Jan-2016 (process 3 of 8)
    Manual classification of VRM raster into two classes, flat and rugged using video supervision. 10 = flat, 20 = rugged.
    Date: 06-Jan-2016 (process 4 of 8)
    Raster addition of classified hardness and ruggedness. 11 = soft-flat, 21 = hard flat, 22 = hard rugose.
    Date: 07-Jan-2016 (process 5 of 8)
    Reclassify SFC raster. 1 = soft-flat, 2 = hard-flat, 3 = hard-rugged
    Date: 22-Jun-2018 (process 6 of 8)
    Metadata was modified to bring up to current USGS PCMSC standards. Keywords were added to USGS Thesaurus, and Access Instructions were added. Minor typos were corrected. No data information was changed. Person who carried out this activity:
    Susan A Cochran
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Geologist
    2885 Mission Street
    Santa Cruz, CA
    USA

    (831) 460-7545 (voice)
    scochran@usgs.gov
    Date: 30-Aug-2018 (process 7 of 8)
    Minor typos were corrected. No data information was changed. Person who carried out this activity:
    Susan A Cochran
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Geologist
    2885 Mission Street
    Santa Cruz, CA
    USA

    (831) 460-7545 (voice)
    scochran@usgs.gov
    Date: 19-Oct-2020 (process 8 of 8)
    Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?
    Cochrane, Guy R., Dartnell, Peter, Hemery, Lenaig G., and Hatcher, Gerry, 2015, Data release for USGS field activity 2014-607-FA, Oregon OCS seafloor mapping: selected lease blocks relevant to renewable energy: data release 10.5066/F7V40S8V, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    Cochrane, Guy R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat: journal article in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska, p. 185-194, Alaska Sea Grant Program, Fairbanks, Alaska.

    Online Links:


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    No formal attribute accuracy tests were conducted.
  2. How accurate are the geographic locations?
    A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.
  3. How accurate are the heights or depths?
    A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.
  4. Where are the gaps in the data? What is missing?
    Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator of the dataset and in products derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? These data are available in geoTIFF format, contained in a single zip file (sfc.zip) which also includes CSDGM FGDC-compliant metadata.
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 19-Oct-2020
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA
US

831-427-4747 (voice)
831-427-4748 (FAX)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

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