Multi-sensor core logger (MSCL) scans of sediment cores collected offshore Cascadia, during field activity 2022-653-FA

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Frequently anticipated questions:

What does this data set describe?

Title:
Multi-sensor core logger (MSCL) scans of sediment cores collected offshore Cascadia, during field activity 2022-653-FA
Abstract:
This dataset includes multi-sensor core logger (MSCL) data of sediment cores collected in Cascadia (offshore northern California, Washington, and Oregon) aboard the M/V Bold Horizon September 2022.
Supplemental_Information:
Additional information about the field activity from which these data were derived is available online at
https://cmgds.marine.usgs.gov/fan_info.php?fan=2022-653-FA
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  1. How might this data set be cited?
    Hill, Jenna C., SeanPaul M. La Selle, Watt, Janet T., Nieminski, Nora M., Balster-Gee, Alicia F., Ferro, Peter Dal, Padgett, Jason S., Powers, Daniel C., Marcuson, Rachel K., and Snyder, George R., 20250326, Multi-sensor core logger (MSCL) scans of sediment cores collected offshore Cascadia, during field activity 2022-653-FA: data release DOI:10.5066/P1VQIJ2Q, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Hill, Jenna C., SeanPaul M. La Selle, Watt, Janet T., Nieminski, Nora M., Balster-Gee, Alicia F., Ferro, Peter Dal, Padgett, Jason S., Powers, Daniel C., Marcuson, Rachel K., and Snyder, George R., 2025, Sediment core data from offshore Cascadia - USGS field activity 2022-653-FA: data release DOI:10.5066/P1VQIJ2Q, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Other_Citation_Details:
    Suggested Citation: Hill, J.C., La Selle, S.M., Watt, J.W., Nieminski, N.M., Balster-Gee, A.F., Dal Ferro, P., Padgett, J.S., Powers, D.C., Marcuson, R.K., and Snyder, G.R., 2025, Sediment core data from offshore Cascadia during field activity 2022-653-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P1VQIJ2Q.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -125.215927
    East_Bounding_Coordinate: -124.723058
    North_Bounding_Coordinate: 41.711749
    South_Bounding_Coordinate: 41.374695
  3. What does it look like?
    mscl_preview.jpg (JPG)
    Example from core JPC-30 of MSCL data plotted from .csv file.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 18-Sep-2022
    Ending_Date: 17-Jan-2025
    Currentness_Reference:
    Ground conditions at the time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: Comma Separated Value (CSV) tabular data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference: Core ID
      This is a Point data set. It contains the following vector data types (SDTS terminology):
      • Point (793)
    2. What coordinate system is used to represent geographic features?
      Vertical_Coordinate_System_Definition:
      Depth_System_Definition:
      Depth_Datum_Name: Local surface
      Depth_Resolution: 1.0
      Depth_Distance_Units: centimeters
      Depth_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    2022-653-FA_core_mscl.zip
    A zip file containing 6 comma delimited text files of multi-sensor core logger data. (Source: Producer defined)
    sb_depth_cm
    Depth in full core of MSCL measurement (value represents the upper edge of a 1 cm interval). (Source: Producer Defined)
    Range of values
    Minimum:0
    Maximum:792
    Units:centimeters
    Resolution:1
    sect_num
    Section number of core (Source: Producer Defined)
    Range of values
    Minimum:1
    Maximum:6
    Resolution:1
    sect_depth_cm
    Depth in section of MSCL measurement (value represents the upper edge of a 1 cm interval). (Source: Producer defined)
    Range of values
    Minimum:0.0
    Maximum:153.1
    Units:centimeters
    density
    Density of sediment in sample interval. Values of ‘-9999’ represent no data, where intervals extend beyond the ends of core sections, or where no data was collected. (Source: Producer defined)
    Range of values
    Minimum:0.1573
    Maximum:1.9108
    Units:g/cc (grams per cubic centimeter)
    Resolution:0.0001
    mag_sus
    Magnetic susceptibility of sediment in sample interval. Values of ‘-9999’ represent no data, where intervals extend beyond the ends of core sections, or where no data was collected. (Source: Producer defined)
    Range of values
    Minimum:-6.5794
    Maximum:361.8663
    Units:SI units times 10^-5
    Resolution:0.0001
    Entity_and_Attribute_Overview: The first line of each csv file is a header line.
    Entity_and_Attribute_Detail_Citation: U.S. Geological Survey

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Jenna C. Hill
    • SeanPaul M. La Selle
    • Janet T. Watt
    • Nora M. Nieminski
    • Alicia F. Balster-Gee
    • Peter Dal Ferro
    • Jason S. Padgett
    • Daniel C. Powers
    • Rachel K. Marcuson
    • George R. Snyder
  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)
    pcmsc_data@usgs.gov

Why was the data set created?

As part of a multi-year project focused on characterizing offshore marine geohazards (tsunamis, earthquakes, and landslides), the U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program is conducting research offshore northern California, Oregon, and Washington to gain a better understanding of the geologic hazards of the region, improve risk assessments for local communities and critical infrastructure, and to provide data for future research on regional tectonic, sedimentary, and geomorphic evolution. Sediment cores were collected to enable a detailed investigation of Cascadia's geologic history and ongoing activity.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2022 (process 1 of 3)
    Cores were collected aboard MV Bold Horizon using a U.S. Geological Survey (USGS) jumbo piston corer (JPC) on cruise 2022-653-FA. The JPC system consisted of a 2500-lb head weight, 3.43-inch diameter barrel, and polybutyrate liner. The JPC trigger arm was set up to collect a trigger core (TC) associated with each JPC (if successful). JPCs were extruded and sectioned at sea. The cores were then transported back to the USGS Pacific Coastal and Marine Science Center.
    Date: 2022 (process 2 of 3)
    Cores were segmented into 150 cm (or shorter) sections and split into "working" and "archive" halves in the USGS Pacific Coastal and Marine Science Center core lab. Sediment surfaces were cleaned and smoothed on the "working" halves of split cores. Multi-sensor core logger (MSCL) data were acquired on a Geotek MSCL-S system (www.geotek.co.uk/products/mscl-s/). Each core was scanned through the system and measured simultaneously for density and magnetic susceptibility. Cores with multiple segments are composited into a single comma delimited text CSV file. Total depth in core, depth in an individual core segment, and core segment numbers are provided in the CSV files. File names correspond to the names of each core. For example, ‘2022_653_FA_JPC03.tif’ corresponds to all sections of jumbo piston core ‘JPC03’. A list of MSCL CSV files is included in this data release in the 2022-653-FA_cores.csv file (Hill and others (2025)).
    Date: 2025 (process 3 of 3)
    MSCL CSV files were renamed for consistency with other datasets in this data release (Hill and others (2025)).
  3. What similar or related data should the user be aware of?
    Hill, Jenna C., SeanPaul M. La Selle, Watt, Janet T., Nieminski, Nora M., Balster-Gee, Alicia F., Ferro, Peter Dal, Padgett, Jason S., Powers, Daniel C., Marcuson, Rachel K., and Snyder, George R., 2025, Information on sediment cores collected offshore Cascadia, during field activity 2022-653-FA.

    Online Links:

    Other_Citation_Details:
    Hill, J.C., La Selle, S.M., Watt, J.W., Nieminski, N.M., Balster-Gee, A.F., Dal Ferro, P., Padgett, J.S., Powers, D.C., Marcuson, R.K., and Snyder, G.R., 2025, Sediment core data from offshore Cascadia during field activity 2022-653-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P1VQIJ2Q.

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

  1. How well have the observations been checked?
    Quality control of attribute accuracy was conducted during field data collection and processing workflows.
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
    Core depth values are relative to the top of sediment in the uppermost core section. Coring-induced compaction, if any, was not determined. No formal vertical accuracy tests were conducted.
  4. Where are the gaps in the data? What is missing?
    This dataset is considered complete for the information presented, as described in the abstract. Users are advised to carefully read the rest of the metadata record for additional details.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical consistency 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 No access constraints
Use_Constraints USGS-authored or produced data and information from the U.S. Government are in the public domain and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - CMGDS
    2885 Mission Street
    Santa Cruz, CA

    1-831-427-4747 (voice)
    pcmsc_data@usgs.gov
  2. What's the catalog number I need to order this data set? MSCL CSV files are provided in a zip archive (2022-653-FA_cores_mscl.zip) accompanied by CSDGM FGDC-compliant metadata. Please contact the PCMSC Data Coordinator about availability.
  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?
    • Availability in digital form:
      Data format: Zip file contains MSCL data from cores in CSV format. in format comma-delimited text Size: 0.189
      Network links: https://doi.org/10.5066/P1VQIJ2Q
    • Cost to order the data: None.

  5. What hardware or software do I need in order to use the data set?
    CSV files can be viewed with any standard table editing software (for example, excel, numbers).

Who wrote the metadata?

Dates:
Last modified: 26-Mar-2025
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)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/CMGDS_DR_tool/DR_P1VQIJ2Q/2022-653-FA_cores_mscl_metadata.faq.html>
Generated by mp version 2.9.51 on Tue Apr 1 10:12:10 2025