Faults--Punta Gorda to Point Arena, California

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Frequently anticipated questions:

What does this data set describe?

Title: Faults--Punta Gorda to Point Arena, California
This part of DS 781 presents data for the faults of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "Faults_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H. Faults in the Punta Gorda and Point Arena region are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data collected by the U.S. Geological Survey between 2010 and 2012.
Additional information about the field activities from which these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=C110NC https://cmgds.marine.usgs.gov/fan_info.php?fan=B510NC https://cmgds.marine.usgs.gov/fan_info.php?fan=B0412NC
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?
    Beeson, Jeff W., Johnson, Samuel Y., and Cochran, Susan A., 2019, Faults--Punta Gorda to Point Arena, California: Data Series DS 781, U.S. Geological Survey, Reston, VA.

    Online Links:

    This is part of the following larger work.

    Golden, Nadine E., 2013, California State Waters Map Series Data Catalog: Data Series DS 781, U.S. Geological Survey, Reston, VA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -124.452888
    East_Bounding_Coordinate: -123.702617
    North_Bounding_Coordinate: 40.300181
    South_Bounding_Coordinate: 39.020333
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5d1288d4e4b0941bde56eb6b?name=Faults_PuntaGordaToPointArena.jpg&allowOpen=true (JPEG)
    Faults for the region between Point Sur and Point Arguello
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 09-Aug-2010
    Ending_Date: 25-Sep-2012
    ground condition at time seismic data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: shapefile
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a vector data set. It contains the following vector data types (SDTS terminology):
      • String (131)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      UTM_Zone_Number: 10
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -123.00000
      Latitude_of_Projection_Origin: 0.00000
      False_Easting: 500000.0
      False_Northing: 0.00
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 50.0
      Ordinates (y-coordinates) are specified to the nearest 50.0
      Planar coordinates are specified in Meters
      The horizontal datum used is WGS84.
      The ellipsoid used is WGS84.
      The semi-major axis of the ellipsoid used is 6378137.00.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    lines representing mapped faults (Source: U.S. Geological Survey)
    Internal feature number (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Feature geometry. (Source: Esri) Coordinates defining the features.
    sequential feature number (Source: Esri) sequential feature numbers
    length of feature in internal units (Source: Esri) Positive real numbers that are automatically generated
    indicates the character of the fault, and is used as a representation rule in the ArcGIS file to indicate symbology for dashed or solid lines (Source: U.S. Geological Survey)
    concealedfault is mapped in sediment and represented with a dashed line
    surficialfault is mapped over rock or a visible scarp and is represented with a solid line

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Jeff W. Beeson
    • Samuel Y. Johnson
    • Susan A. Cochran
  2. Who also contributed to the data set?
  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

    831-427-4747 (voice)

Why was the data set created?

To expand geologic mapping to the seafloor within the California's State Waters, to update coastal geologic mapping, and to contribute to a uniform regional geologic database, which can be used geographic information systems. Additionally, to aid in assessments and mitigation of geologic hazards in the Punta Gorda and Point Arena coastal region and to provide sufficient geologic information for land-use and land-management decisions both onshore and offshore. This information is not intended for navigational purposes.

How was the data set created?

  1. From what previous works were the data drawn?
    seismic (source 1 of 1)
    Beeson, J.W., Johnson, S.Y., Goldfinger, C., and Hartwell, S.R., 2016, Marine geophysical data—Point Arena to Cape Mendocino: U.S. Geological Survey, online.

    Online Links:

    Type_of_Source_Media: SEG-Y
    digital seismic data from Punta Gorda to Point Arena used to interpret subsurface geologic structure
  2. How were the data generated, processed, and modified?
    Date: 2017 (process 1 of 2)
    Faults were mapped onto shot lines based on the latitude and longitude of seismic picks from source seismic data. Data sources used in this process:
    • seismic
    Date: 19-Oct-2020 (process 2 of 2)
    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)
  3. What similar or related data should the user be aware of?
    Beeson, Jeff W., and Originator: Samuel Y. Johnson, 2019, Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, northern California: Open-File Report 2019-1072, U.S. Geological Survey, Reston, VA.

    Online Links:

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

  1. How well have the observations been checked?
    The data points from seismic-reflection profiles are dense along tracklines (about 1-2 m apart) and sparse between tracklines (typically 1,000 m apart).
  2. How accurate are the geographic locations?
    Faults were primarily mapped by interpretation of seismic reflection profile data. Faults were digitized by heads-up screen digitization on to shot-point picks from seismic-line navigation data - each shot point has an associated lat/long in the survey data. Error is introduced from layback, as well as from interpretation of oblique features, so horizontal accuracy of fault and fold location is estimated to be on the order of 10 to 20 meters.
  3. How accurate are the heights or depths?
    Estimated to be approximately 1 m, along the track lines where data is well constrained, but may be much greater in areas where interpolation occurred.
  4. Where are the gaps in the data? What is missing?
    Sediment thickness data points exported from Kingdom Suite profiling software were processed within the California 3-nmi limit.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted. All vector geometry and attributes are present.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
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)
  2. What's the catalog number I need to order this data set? The .zip file (Faults_PuntaGordaToPointArena.zip) includes the .cpg, .dbf, .lyr, .prj, .sbn, .sbx, .shp, .shp.xml, and .shx files, as well as FGDC-compliant metadata for the Faults data layer in the Point Sur to Point Arguello region of California.
  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?
  5. What hardware or software do I need in order to use the data set?
    The downloadable data file has been compressed with the "zip" command and can be unzipped with Winzip (or other tool) on Windows systems. To utilize these data, the user must have software capable of uncompressing the WinZip file and importing and viewing an Esri ArcMap TIFF. Users should download the ArcGIS project file, PuntaGordaToPointArenaGIS.mxd.zip, a compressed (with the "zip" command) version of the ArcMap document (.mxd) that has all the data layers loaded in the table of contents for "Punta Gorda to Point Arena" map region and has all the data symbolized as on the map sheets. Download and save this ArcGIS project file, including all data layers, to the directory the user has created for this GIS.

Who wrote the metadata?

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

831-427-4747 (voice)
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

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