Mineralogical point-count data from vibracores collected offshore central California, during field activity 2019-651-FA

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Frequently anticipated questions:

What does this data set describe?

Title:
Mineralogical point-count data from vibracores collected offshore central California, during field activity 2019-651-FA
Abstract:
This dataset includes mineralogical point-count data from sediment cores collected offshore central California in the vicinity of Morro Bay. These data were collected aboard the M/V Bold Horizon in October 2019 for use in regional hazard assessments relating to the Hosgri Fault.
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=2019-651-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?
    Snyder, George R., Balster-Gee, Alicia F., Kluesner, Jared W., Johnson, Samuel Y., Medri, Elisa, Simms, Alex, Nishenko, Stu, Greene, H. Gary, and Conrad, James E., 20221213, Mineralogical point-count data from vibracores collected offshore central California, during field activity 2019-651-FA: data release DOI:10.5066/P9A0U8J7, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Snyder, George R., Balster-Gee, Alicia F., Kluesner, Jared W., Johnson, Samuel Y., Medri, Elisa, Simms, Alex, Nishenko, Stu, Greene, H. Gary, and Conrad, James E., 2022, Geophysical and core sample data collected offshore central California, during field activity 2019-651-FA: data release DOI:10.5066/P9A0U8J7, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -121.080024
    East_Bounding_Coordinate: -121.074185
    North_Bounding_Coordinate: 35.477597
    South_Bounding_Coordinate: 35.476497
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 18-Oct-2019
    Ending_Date: 24-Oct-2019
    Currentness_Reference:
    Ground conditions at time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: CSV format tabular data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Point data set. It contains the following vector data types (SDTS terminology):
      • Point (14)
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    2019-651-FA_cores_pointcount.csv
    Comma-delimited text file containing point-count mineralogical data for core samples. (Source: Producer defined)
    Core Name
    Core number (for example, HF-2 is Hosgri Fault core 2). (Source: U.S. Geological Survey) Unique identifier for the sample given in the field
    Sample
    Arbitrary sample number for point-count analysis. (Source: U.S. Geological Survey) Unique identifier for lab sample names
    Sample Depth (cm)
    Depth of sample collection measured from top of core. Where indicated, certain samples were obtained over a larger range to produce enough material of the desired grainsize. (Source: U.S. Geological Survey)
    Range of values
    Minimum:40
    Maximum:297
    Units:centimeters
    CHS Unit
    Name of unit sampled, as defined in Medri and others, 2022. (Source: U.S. Geological Survey) Unique unit identifiers.
    Monocrystalline Quartz
    Number of monocrystalline quartz grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:38
    Maximum:80
    Units:count
    Polycrystalline Quartz
    Number of polycrystalline quartz grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:8
    Maximum:25
    Units:count
    Plagioclase
    Number of plagioclase feldspar grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:28
    Maximum:58
    Units:count
    K-Feldspar
    Number of alkali feldspar grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0
    Maximum:1
    Units:count
    Sedimentary Lithic
    Number of sedimentary lithic grains (sandstone, siltstone, mudstone, chert) counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:104
    Maximum:181
    Units:count
    Volcanic Lithic
    Number of volcanic lithic grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:10
    Maximum:27
    Units:count
    Carbonate/Bioclast
    Number of carbonate and bioclast grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:5
    Maximum:182
    Units:count
    Pyroxene/Hornblende/Opaques
    Number of pyroxene, hornblende and opaque grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:5
    Maximum:39
    Units:count
    Biotite
    Number of biotite grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0
    Maximum:5
    Units:count
    Total Count
    total sum of grains counted on grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:323
    Maximum:408
    Units:count
    Percent Quartz
    Relative percentages of quartz qrains normalized to sum of quartz, feldspar, and lithic counts. Lithic category includes sedimentary lithic, chert, and volcanic lithic grains. Quartz category includes both monocrystalline and polycrystalline grains. Feldspar category includes both plagioclase and K-feldspar grains. (Source: U.S. Geological Survey)
    Range of values
    Minimum:22
    Maximum:34
    Units:percent
    Percent Feldspar
    Relative percentages of feldspar grains normalized to sum of quartz, feldspar, and lithic counts. Lithic category includes sedimentary lithic, chert, and volcanic lithic grains. Quartz category includes both monocrystalline and polycrystalline grains. Feldspar category includes both plagioclase and K-feldspar grains. (Source: U.S. Geological Survey)
    Range of values
    Minimum:13
    Maximum:27
    Units:percent
    Percent Lithics
    Relative percentages of lithic grains normalized to sum of quartz, feldspar, and lithic counts. Lithic category includes sedimentary lithic, chert, and volcanic lithic grains. Quartz category includes both monocrystalline and polycrystalline grains. Feldspar category includes both plagioclase and K-feldspar grains. (Source: U.S. Geological Survey)
    Range of values
    Minimum:47
    Maximum:64
    Units:percent
    Percent Heavy Minerals
    Relative percentages of heavy minerals in grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:1.2
    Maximum:11.2
    Units:percent
    Percent Bioclasts
    Relative percentages of bioclasts in grain mount. (Source: U.S. Geological Survey)
    Range of values
    Minimum:3.5
    Maximum:46.1
    Units:percent
    Nearest Date
    Age-range determined for nearest dated sediment within core. Radiocarbon ages are given in calibrated years before present and optically stimulated luminescence (OSL) ages are given in kilo-annum. (Source: U.S. Geological Survey)
    Range of values
    Minimum:1794
    Maximum:12195
    Units:years before present.
    Dating Method
    Dating method used for values in the Nearest Date attribute (Source: U.S. Geological Survey)
    ValueDefinition
    radiocarbonsample age determined with radiocarbon analysis. Ages determined with radiocarbon in “Nearest Date” attribute are in calibrated years before present.
    OSLsample age determined with optically stimulated luminescence (OSL) analysis. Ages determined by OSL in the “Nearest Date” attribute are in kilo annum.
    Entity_and_Attribute_Overview:
    The first line of the csv file is a header line. Location information for each sediment core can be found in the 2019-651-FA_cores_locations shapefile included in this data release.
    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)
    • George R. Snyder
    • Alicia F. Balster-Gee
    • Jared W. Kluesner
    • Samuel Y. Johnson
    • Elisa Medri
    • Alex Simms
    • Stu Nishenko
    • H. Gary Greene
    • James E. Conrad
  2. Who also contributed to the data set?
    USGS PCMSC Marine Facility personnel Rachel Marcuson, Jenny McKee, Cordell Johnson, and Dan Powers led vibracore collection operations.
  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?

Identification of fault-related submarine hazards is a primary mission of the USGS Coastal and Marine Hazards and Resources Program. The Hosgri Fault is a submarine fault system that likely poses the greatest submarine earthquake threat in the central California region. To gain a better understanding of this fault system, the USGS collected sparker multichannel seismic, CHIRP seismic, and sediment cores to enable a detailed investigation of its geologic history and ongoing activity. These data are intended to further our understanding of geologic hazards near the Hosgri Fault, improve risk assessments for local communities and critical infrastructure, and to provide data for future research on regional tectonic, sedimentary, and geomorphic evolution of coastal California. This work was funded through a Cooperative Research and Development Agreement (CRADA) between the USGS and Pacific Gas and Electric Corporation.

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: 2019 (process 1 of 4)
    Cores were collected aboard the M/V Bold Horizon using a Rossfelder P-5 vibracorer during U.S. Geological Survey cruise 2019-651-FA. The cores were transported back to the USGS Pacific Coastal and Marine Science Center core lab for subsequent analyses.
    Date: 2022 (process 2 of 4)
    Sampling areas were selected within important sedimentary layers within each core on the basis of distinct mineralogy and ages. Samples were prepared by wet-sieving followed by air and oven drying and a final dry-sieving to produce bulk samples with a grain size distribution ranging from 125-250 microns. Standard thin sections were prepared by Wagner Petrographic with clear epoxy impregnation and potassium feldspar staining. Fourteen slides were prepared with seven slides from the older “Unit 1” and seven slides from the younger “Unit 2” as described in Medri and others, 2022.
    Date: 2022 (process 3 of 4)
    Point counting was conducted on a petrographic microscope under a 10X objective lens with total counts ranging from 323 to 408 grains per slide. For quartz-lithic-feldspar analysis, quartz includes both monocrystalline and polycrystalline varieties, feldspar includes both K-feldspar and plagioclase, and lithics include sedimentary clasts (sandstone, siltstone, mudstone, chert) and volcanic lithic fragments.
    Date: 04-Jan-2023 (process 4 of 4)
    Corrected author/Originator spelling in Citation and Larger Work Citation sections of metadata (Media to Medri). Complete citation information added for Medri and others, 2022, Cross Reference. No data were changed. (scochran@usgs.gov)
  3. What similar or related data should the user be aware of?
    Medri, Elisa, Simms, Alexander R., Kluesner, Jared, Johnson, Samuel Y., Nishenko, Stuart P., Greene, H. Gary, and Conrad, James E., 2022, Subaqueous clinoforms created by sandy wave-supported gravity flows: lessons from the central California shelf.

    Online Links:

    Other_Citation_Details:
    Medri, E., Simms, A.R., Kluesner, J., Johnson, S.Y., Nishenko, S.P., Greene, H.G., and Conrad, J.E., 2022, Subaqueous clinoforms created by sandy wave-supported gravity flows: Lessons from the central California shelf: Marine Geology, v. 456, doi: 10.1016/j.margeo.2022.106977.

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

  1. How well have the observations been checked?
    All data were collected using the same sampling procedures and were evaluated during collection for accurate vales.
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    Dataset 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 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 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(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? Point-count data are provided in a csv format (2019-651-FA_core_pointcount.csv) accompanied by 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?
    • Availability in digital form:
      Data format: Comma-delimited text file of mineralogical point-count data. in format comma-delimited text Size: 0.002
      Network links: https://doi.org/10.5066/P9A0U8J7
    • Cost to order the data: None.

  5. What hardware or software do I need in order to use the data set?
    Mineralogical point count data in comma-delimited text format can be viewed with any standard table editing software (for example, Excel, Numbers).

Who wrote the metadata?

Dates:
Last modified: 04-Jan-2023
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_P9A0U8J7/2019-651-FA_cores_pointcount_metadata.faq.html>
Generated by mp version 2.9.51 on Wed Jan 4 11:32:24 2023