Sediment data from vibracores collected in January 2015 from around Breton Island, Louisiana (U.S. Geological Survey Field Activity Number 2014–336–FA)

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Frequently anticipated questions:

What does this data set describe?

Title:
Sediment data from vibracores collected in January 2015 from around Breton Island, Louisiana (U.S. Geological Survey Field Activity Number 2014–336–FA)
Abstract:
Breton Island, located at the southern end of the Chandeleur Islands, supports one of Louisiana’s largest historical brown pelican (Pelecanus occidentalis) nesting colonies. Although the brown pelican was delisted as an endangered species in 2009, nesting areas are threatened by continued land loss and are extremely vulnerable to storm impacts. The U.S. Fish and Wildlife Service proposed to restore Breton Island to pre-Hurricane Katrina conditions through rebuilding the shoreface, dune, and back-barrier marsh environments. Prior to restoration, scientists from the U.S. Geological Survey’s (USGS) St. Petersburg Coastal and Marine Science Center Geologic and Morphologic Evolution of Coastal Margins project collected high-resolution geophysical (topography, bathymetry, and sub-bottom profiles) and sedimentologic data from around Breton Island to characterize the geologic framework of the island platform, nearshore, and shelf environments. These data will be used to characterize the geologic framework around Breton Island, identify potential borrow areas for restoration efforts, quantify seafloor change, and provide information for sediment transport and morphologic change models to asses island response to restoration and natural processes. Data release doi:10.5066/F79C6VKF associated with this metadata record serves as an archive of sediment data from vibracores, push cores, and submerged grab samples collected from around Breton and Gosier Islands, Louisiana, during two surveys conducted in July 2014 and January 2015 (USGS Field Activity Numbers 2014–314–FA and 2014–336–FA, respectively). Sedimentologic and stratigraphic metrics (for example, sediment texture or unit thicknesses) derived from these data can be used to ground-truth the geophysical data and characterize potential sand resources or can be incorporated into sediment transport or morphologic change models. Data collection and processing methods are described in Data Series 1037 (https://doi.org/10.3133/ds1037). Data products, including sample location tables, descriptive core logs, core photographs and x-radiographs, results of sediment grain-size analyses, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from https://doi.org/10.5066/F79C6VKF.
Supplemental_Information:
From January 11-17, 2015, USGS scientists collected 56 vibracores were collected from back-barrier, nearshore, and offshore areas around Breton Island. Offshore vibracore locations were selected to ground-truth interpretations from previously collected seismic data (Forde and others, 2016).
  1. How might this data set be cited?
    Kelso, Kyle W., and Tuten, Thomas M., 2017, Sediment data from vibracores collected in January 2015 from around Breton Island, Louisiana (U.S. Geological Survey Field Activity Number 2014–336–FA):.

    Online Links:

    This is part of the following larger work.

    Bernier, Julie C., Kelso, Kyle W., Tuten, Thomas M., Stalk, Chelsea A., and Flocks, James G., 2017, Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Data Series DS 1037, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -89.27168
    East_Bounding_Coordinate: -89.06403
    North_Bounding_Coordinate: 29.51807
    South_Bounding_Coordinate: 29.38463
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 11-Jan-2015
    Ending_Date: 17-Jan-2015
    Currentness_Reference:
    Ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: Multimedia presentation
  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):
      • Point (56)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 16
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: 87.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.00001
      Ordinates (y-coordinates) are specified to the nearest 0.00001
      Planar coordinates are specified in Meters
      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.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North American Vertical Datum of 1988
      Altitude_Resolution: 0.001
      Altitude_Distance_Units: Meters
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    2014-336-FA_coreites_FINAL.xlsx
    Microsoft Excel workbook defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA). (Source: USGS)
    2014-336-FA_coreites_FINAL.csv
    Comma-separated values text file defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA). (Source: USGS)
    2014-336-FA_coresites_FINAL.shp
    Esri shapefile defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014-336-FA). (Source: USGS)
    2014-336-FA_coresites_FINAL.kml
    Keyhole Markup Language (KML) file defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA). (Source: USGS)
    2014-336-FA_SumStats_1-26.xlsx
    Summary grain-size data for vibracores 1-26 collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a Microsoft Excel workbook. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided for each core on its own tab. (Source: USGS)
    2014-336-FA_SumStats_27-52.xlsx
    Summary grain-size data for vibracores 27-52 collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a Microsoft Excel workbook. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided for each core on its own tab. (Source: USGS)
    2014-336-FA_SumStats.csv
    Summary grain-size data for vibracores collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a comma-separated values text file. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided. (Source: USGS)
    FID
    Internal feature number (Source: Esri) Sequential unique whole numbers that are automatically generated
    Shape
    Feature geometry (Source: Esri) Geometry type defining the features
    CORE_ID
    Site identification number (Source: USGS) Character string
    WGS84_Lat
    Latitude of site location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:29.38463
    Maximum:29.51807
    Units:Decimal degrees
    Resolution:0.00001
    NAD83_Lon
    Longitude of site location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:-89.27168
    Maximum:-89.06403
    Units:Decimal degrees
    Resolution:0.00001
    NAD83_X
    X-coordinate (easting) of site location, in meters (WGS84, UTM zone 16 N) (Source: USGS)
    Range of values
    Minimum:279605.057
    Maximum:299824.362
    Units:Meters
    Resolution:0.001
    NAD83_Y
    Y-coordinate (northing) of site location, in meters (WGS84, UTM zone 16 N) (Source: USGS)
    Range of values
    Minimum:3252493.000
    Maximum:3267355.324
    Units:Meters
    Resolution:0.001
    DEPTH_m
    Water depth recorded at time of collection, in meters (Source: USGS)
    Range of values
    Minimum:3.65854
    Maximum:10.36585
    Units:Meters
    Resolution:0.001
    NAVD88_G12A_m
    Elevation (orthometric height) of site location, in meters (GEOID 12A) (Source: USGS)
    Range of values
    Minimum:-10.00
    Maximum:-3.54
    Units:Meters
    Resolution:0.001
    TYPE
    Sample type (Source: USGS)
    ValueDefinition
    vibracoreVibracore
    vibracore - OSLVibracore, collected and processed to preserve for optically stimulated luminescence (OSL) dating
    LENGTH_m
    Core length, in meters (Source: USGS)
    Range of values
    Minimum:1.94
    Maximum:5.92
    Units:Cenitmeters
    Resolution:0.01
    Entity_and_Attribute_Overview:
    The detailed attribute descriptions for the statistics summary workbooks are provided in the included data dictionary (Grain_Size_Data-Dictionary.pdf). These metadata are not complete without this file.
    Entity_and_Attribute_Detail_Citation:
    Data dictionary for grain-size data tables, in: Bernier, J.C., Kelso, K.K., Tuten, T.M., Stalk, C.A., and Flocks, J.G., 2017, Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Data Release, https://doi.org/10.5066/F79C6VKF.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Kyle W. Kelso
    • Thomas M. Tuten
  2. Who also contributed to the data set?
    U.S. Geological Survey, Coastal and Marine Geology Program, St. Petersburg Coastal and Marine Science Center
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Kyle W. Kelso
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    kkelso@usgs.gov

Why was the data set created?

Dissemination of processed sediment data from vibracores collected from around Breton Island, Louisiana, in January 2015 (USGS FAN 2014–336–FA).

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: 2015 (process 1 of 8)
    USGS scientists collected 56 vibracores from around Breton Island in January 2015 (U.S. Geological Survey Field Activity Number 2014–336–FA). Cores were collected from the M/V Thunderforce, a 110-foot steel multiuse vessel operated by American Vibracore Services (AVS). This vessel uses an A-frame to lift the vibracore base onto the seafloor. An Alpine pneumatic vibracore head attached to a 5.08-cm (4-inch) diameter steel barrel with 9.21-cm (3.625-inch) diameter polycarbonate core liners was used to collect most of the samples. For the nine cores designated for optically stimulated luminescence (OSL) dating, a 7.62-cm (3-inch) diameter aluminum core barrel was used to shield the recovered sediments from light. A penetrometer with proprietary software developed by AVS was incorporated for real-time monitoring and recording of subsurface penetration. After extraction, each core was capped, sealed, and labeled with core number and orientation. The cores were transported to the USGS SPCMSC sediment lab for processing and analysis. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Kyle W. Kelso
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    kkelso@usgs.gov
    Date: 2015 (process 2 of 8)
    Core locations were recorded at the time of collection using a Furuno depth sounder located amidship of the M/V Thunderforce. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Kyle W. Kelso
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    kkelso@usgs.gov
    Date: 2016 (process 3 of 8)
    Surface elevations of the core sites were extracted from a 100-meter by 100-meter gridded surface of USGS bathymetric data collected in July 2014 (DeWitt and others, 2016) using the Spatial Analyst Extract Values to Points tool in Esri ArcGIS version 10.2. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Julie C. Bernier
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    jbernier@usgs.gov
    Data sources produced in this process:
    • 2014-336-FA_coresites.zip
    Date: 2015 (process 4 of 8)
    At the SPCMSC sediment laboratory, the cores were split lengthwise, photographed with a Canon Powershot SX20 IS digital camera, described macroscopically using standard sediment-logging methods, and subsampled for grain-size analysis. Grain-size samples consisted of 2-cm sections sampled at varying intervals down-core depending on the number and thickness of the observed sedimentologic units. Textural descriptions for the core logs are based on macroscopic observations; the quantitative grain-size data are represented by down-core plots on the core logs. Sediment color is based on the Munsell soil color system. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Kyle W. Kelso
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    kkelso@usgs.gov
    Data sources produced in this process:
    • 2014-336-FA_CorePhotos.zip
    • 2014-336-FA_CoreLogs.pdf
    Date: 2015 (process 5 of 8)
    Grain-size analyses were performed using Coulter LS 200 and Coulter LS 13 320 particle-size analyzers, which use laser diffraction to measure the size distribution of sediments ranging in size from 0.4 microns (µm) to 2 millimeters (mm) (clay to very coarse-grained sand). A total of 1,672 samples from 56 vibracores were analyzed. Core samples consisted of approximately 2-cm sections of the core. In order to prevent shell fragments from damaging the Coulter analyzers, particles greater than 1 mm in diameter were separated from all samples prior to analysis using a number 18 (1000 µm, 1 mm) U.S. standard sieve, which meets the American Society for Testing and Materials (ASTM) E11 standard specifications for determining particle size using woven-wire test sieves. Prior to sieving, samples were homogenized in the sample bag and wet-sieved to remove any large particles. Two subsamples from each sample were processed through the LS 200 or the LS 13 320 particle-size analyzers a minimum of three runs each. These instruments measure the particle-size distribution of each sample by passing sediment suspended in solution between two narrow panes of glass in front of a laser. Light is scattered by the particles into characteristic refraction patterns measured by an array of photodetectors as intensity per unit area and recorded as relative volume for 92 size-related channels (bins). The size-classification boundaries for each bin were specified on the basis of the ASTM E11 standard. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Thomas M. Tuten
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    ttuten@usgs.gov
    Date: 2015 (process 6 of 8)
    The raw grain-size data were run through the free, widely available program GRADISTAT (Blott and Pye, 2001), which calculates the geometric (in metric units) and logarithmic (in phi units, Φ; Krumbein, 1934) mean, sorting, skewness, and kurtosis of each sample using the Folk and Ward (1957) method as well as the cumulative particle-size distribution. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand) based on a modified Wentworth (1922) size scale. A macro developed by the USGS was applied to calculate the average and standard deviation of each sample (six runs per sample) and highlight runs that varied from the set average by more than plus or minus (±) 1.5 standard deviations. Excessive deviations from the mean are likely the result of equipment error or extraneous material in the sample and are not considered representative of the sample. Those runs were removed from the results and the sample average was recalculated using the remaining runs. The individual run statistics are available from https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_RunStats.zip. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and class-size distributions, are summarized in a series of Excel workbooks with each core on its own tab and are available from https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_SumStats.zip. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Thomas M. Tuten
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    ttuten@usgs.gov
    Data sources produced in this process:
    • 2014-336-FA_GrainSize_SumStats.zip
    • 2014-336-FA_GrainSize_RunStats.zip
    Date: 19-Jan-2017 (process 7 of 8)
    Using Exchangeable image file format (Exif) data, the GPS date, time and coordinates recorded during sediment core collection were embedded in the whole-core (CoreID.jpg) and stitched (CoreID_sc_adj.jpg) image metadata. The Exif headers were initially populated by the camera’s imaging software but were subsequently updated by USGS staff to include core-related supplemental information. A Python version 2.7.3 script (UpdatePhotoEXIFv2.py) was run to incorporate location information and auxiliary details into the appropriate locations within the Exif header of each full-resolution JPEG image. The Python script used ExifTool version 10.25 to write the information to the image headers. The following tags were populated in the JPEG image headers. Information is duplicated in some tags. This was done because different software packages access different tags.
    GPS tags: The values populated are unique for each image and based on the information exported from the handheld GPS. 
    GPSLatitudeRef
GPSLatitude
GPSLongitudeRef
GPSLongitude
GPSTimeStamp
GSPDateStamp
    JPEG tags: The tag is listed along with the information used to populate it - which is the same for every image taken with a particular camera. The following information is based on the Canon PowerShot SX20 IS camera.
    comment: Photo of core collected in January 2015 from Breton and Gosier Islands, Louisiana during field activity number 2014–336–FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-336-FA). Published as USGS data release DOI:10.5066/F79C6VKF.
    EXIF tags: The tag is listed along with the information used to populate it - which is the same for every image.
    ImageDescription: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA. 
    Artist: U.S. Geological Survey
Copyright: Public Domain - please credit U.S. Geological Survey
    IPTC tags: The tag is listed along with the information used to populate it - which is the same for every image. 
    Credit: U.S. Geological Survey
Contact: gs-g-spcmsc_data_inquiries@usgs.gov
Keywords: Breton National Wildlife Refuge, Louisiana, Breton Island, Gosier Island, 2014-336-FA, push-core, grab sample, vibracore, USGS
CopyrightNotice: Public Domain - please credit U.S. Geological Survey
Caption-Abstract: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA.
    XMP tags: The tag is listed along with the information used to populate it - which is the same for every image. 
    Caption: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA.
    To extract the information from the image headers using ExifTool, the following command can be used (tested with ExifTool version 10.25):
    exiftool.exe -csv -f -filename -GPSTimeStamp -GPSLongitude -GPSLatitude -n -Artist -Credit -comment -keywords -Caption -Copyright -CopyrightNotice -Caption-Abstract -ImageDescription photos/*.jpg > out.csv
    The -csv flag writes the information out in a comma-delimited format. The -n option formats the latitude and longitude as signed decimal degrees. Person who carried out this activity:
    Arnell Forde
    U.S. Geological Survey, St. Petersburg Coastal and Marine Geology Science Center
    Geologist
    600 4th Street South
    Saint Petersburg, Florida
    U.S.A.

    727-502-8000 (voice)
    aforde@usgs.gov
    Date: 13-Oct-2020 (process 8 of 8)
    Added keywords section with USGS persistent identifier as theme keyword. 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?
    Bernier, J.C., Kelso, K.W., Tuten, T.M., Stalk, C.A., and Flocks, J.G., 2017, Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Data Series 1037.

    Online Links:

    Forde, A.S., Flocks, J.G., Fredericks, J.J, and Wiese, D.S., 2016, Archive of digital chirp subbottom profile data collected during USGS cruise 14BIM05 offshore of Breton Island, Louisiana, August 2014: U.S. Geological Survey Data Series 972.

    Online Links:

    DeWitt, N.T., Fredericks, J.J, Flocks, J.G., Miselis, J.L., Locker, S.D., Kindinger, J.G, Bernier, J.C., Kelso, K.W., Reynolds, B.J., Wiese, D.S., and Browning, T.N., 2016, Archive of bathymetry and backscatter data collected in 2014 nearshore Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Data Series 1005.

    Online Links:

    Blott, S.J. and Pye, K., 2001, Gradistat: A grain size distribution and statistics package for the analysis of unconsolidated sediments: Earth Surface Processes and Landforms Volume 26.

    Online Links:

    Other_Citation_Details: Pages 1237-1248

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

  1. How well have the observations been checked?
    The positional accuracy of the core locations (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_coresites.zip) is determined by the accuracy of the Global Positioning System (GPS) receiver used to locate the samples at the time of collection. The grain-size data presented in the summary statistics spreadsheets (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_SumStats.zip) represent the sample averages for a subset of the statistical parameters calculated by GRADISTAT. The number of runs included in the averaged results are also reported, and the standard deviation of the averaged results are reported for most parameters. Sample depths were measured to the nearest half-centimeter using a metric tape measure.
  2. How accurate are the geographic locations?
    Sample locations were recorded at the time of collection using a Furuno depth sounder located amidship of the 110-foot M/V Thunderforce. The actual core site was offset from the back of the boat by up to 18 feet.
  3. How accurate are the heights or depths?
    The surface elevations of the vibracore sites are the cell values extracted from a 100-meter cell size bathymetric grid created from USGS bathymetric data (DeWitt and others, 2016).
  4. Where are the gaps in the data? What is missing?
    Data release doi:10.5066/F79C6VKF associated with this metadata record includes the geographic locations, core descriptions, core photos, and grain-size data for 1,672 samples from 56 vibracores collected from around Breton Island, Louisiana, in January 2015 (USGS FAN 2014–336–FA).
  5. How consistent are the relationships among the observations, including topology?
    The geographic position and water depth of each core site was recorded at the time of collection with a Furuno depth sounder located amidship of the 110-foot M/V Thunderforce. The draft of the vessel was added to the reading to get the actual current water depth at the time of coring. The actual core site was offset from the back of the boat by up to 18 feet. Core elevations are the cell values extracted from a 100-meter cell size bathymetric grid derived from USGS bathymetric data (DeWitt and others, 2016). The complete grain-size dataset including all GRADISTAT parameters, results of individual sample runs, and standard deviations for all sample averages are included in the unedited output files (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_RunStats.zip). Sample runs in the output files for which the mean Folk and Ward grain size varied from the set average by more than 1.5 standard deviations are highlighted in yellow and were not included in final averaged results.

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:
The U.S. Geological Survey requests that it be acknowledged as the originator of this dataset in any future products or research derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: Kyle W. Kelso
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    kkelso@usgs.gov
  2. What's the catalog number I need to order this data set? Downloadable data
  3. What legal disclaimers am I supposed to read?
    This publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, 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 imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  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 sample locations table was created in Microsoft Excel 2010 and can be opened using Microsoft Excel 2007 or higher; these data may also be viewed using the free Microsoft Excel Viewer (http://office.microsoft.com/). The sample locations are also provided as comma-separated values text files (.csv) and GIS data files in Esri shapefile (.shp) and Keyhole Markup Language (KML) format; the GIS files can be opened using the free ArcGIS Explorer or Google Earth GIS viewers. The core photographs and are provided as high-resolution Joint Photographic Experts Group (JPEG) images and can be viewed using standard image viewing software.

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
U.S. Geological Survey
Attn: Julie C. Bernier
Geologist
600 4th Street South
St. Petersburg, FL
USA

727-502-8000 (voice)
jbernier@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/2014-336-FA-met.faq.html>
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