Sediment Data for Samples Collected in 2015, 2016, and 2017 from Coastal Louisiana

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What does this data set describe?

Title:
Sediment Data for Samples Collected in 2015, 2016, and 2017 from Coastal Louisiana
Abstract:
Data release doi:10.5066/F71G0KKD associated with this metadata record serves as an archive of sediment data for samples collected in 2015, 2016, and 2017 from coastal Louisiana. In 2015 and 2016, sediment grab samples (N=874) were collected coast-wide along shore-perpendicular transects that included back-barrier, emergent (beach and barrier island), shoreface, and nearshore environments. Sample locations were selected to re-occupy locations previously sampled in 2008 (U.S. Geological Survey [USGS] Open-File Report 2013-1083). The 2008 and 2015-2016 datasets were collected under the Barrier Island Coastal Monitoring (BICM) program (CPRA project LA-0226; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=LA-0226), an ongoing collaboration between the State of Louisiana Coastal Protection and Restoration Authority (CPRA), the University of New Orleans (UNO) Pontchartrain Institute for Environmental Sciences (PIES), and the USGS. In 2017, additional grab samples (N=77) were collected along shore-perpendicular transects from West Belle Pass to Caminada Pass as part of the CPRA (CPRA project BA-0045; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=BA-0045). The 2015, 2016, and 2017 sediment samples were collected by personnel from UNO–PIES and provided to the USGS St. Petersburg and Coastal Marine Science Center (SPCMSC) sediment laboratory. Textural characteristics were analyzed using a Coulter LS 200 particle-size analyzer. Following SPCMSC data management and archiving protocols, the samples were assigned a USGS field activity number (FAN) (https://cmgds.marine.usgs.gov/fan_info.php?fan=2015-301-CNT). Data products, including sample location tables, 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/F71G0KKD.
Supplemental_Information:
Copies of the methods reports and data-collection maps provided to CPRA in fulfillment of the BICM reporting requirements can be accessed from the Coastal Information Management System (CIMS) document server: Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Phase 2 - 2015 Characterization of Surficial Sediments in the Early Lafourche Delta, Late Lafourche Delta, Modern Delta, and Chandeleur Islands Regions: Part A - Data Collection, Sample Processing and Products (https://cims.coastal.louisiana.gov/DocLibrary/FileDownload.aspx?Root=0&id=22297); Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Phase 2 - 2015 Characterization of Surficial Sediments in the Early Lafourche Delta, Late Lafourche Delta, Modern Delta, and Chandeleur Islands Regions: Part B – Sediment Sample Distribution Maps (https://cims.coastal.louisiana.gov/DocLibrary/FileDownload.aspx?Root=0&id=22293); Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Phase 2 - 2016 Characterization of Surficial Sediments in the Western and Eastern Chenier Plain and Atchafalaya and Wax Lake Delta Regions: Part A - Data Collection, Sample Processing and Products (https://cims.coastal.louisiana.gov/DocLibrary/FileDownload.aspx?Root=0&id=22300); and Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Phase 2 - 2016 Characterization of Surficial Sediments in the Western and Eastern Chenier Plain and Atchafalaya and Wax Lake Delta Regions: Part B - Sediment Sample Distribution Maps (https://cims.coastal.louisiana.gov/DocLibrary/FileDownload.aspx?Root=0&id=22301). The maps provided in the above documents include all locations (N=1,845) where sediment samples were collected as part of the BICM sampling effort. However, 971 of those samples were visually estimated to contain less than 70% sand and were not shipped to USGS SPCMSC for grain-size analysis. The 2015-2016 BICM sediment database that includes all field sample locations as well as visual estimates of sediment texture (sand-silt-clay content) can be accessed from the CPRA CIMS data viewer (https://cims.coastal.louisiana.gov/Viewer/Map.aspx?guid=93cadfb6-3a35-4d08-9a4b-a2c7195e0e7e).
  1. How might this data set be cited?
    Bernier, Julie C., Tuten, Thomas M., Flocks, James G., Georgiou, Ioannis Y., Kulp, Mark A., Brown, Michael, and Courtois, Andrew, 20180521, Sediment Data for Samples Collected in 2015, 2016, and 2017 from Coastal Louisiana: U.S. Geological Survey Data Release doi:10.5066/F71G0KKD, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -93.831487
    East_Bounding_Coordinate: -88.799903
    North_Bounding_Coordinate: 30.081930
    South_Bounding_Coordinate: 29.019671
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 2015
    Ending_Date: 2017
    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 (951)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000001. Longitudes are given to the nearest 0.000001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is D North American 1983.
      The ellipsoid used is GRS 1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    2015-301-CNT_BICM_SampleSites.csv; 2015-301-CNT_BICM_SampleSites.shp; 2015-301-CNT_BICM_SampleSites.kml
    Comma-separated values text file, Esri shapefile, and Keyhole Markup Language (KML) file defining the sample locations and selected grain-size metrics for BICM project sediment samples collected from coastal Louisiana in 2015 and 2016 (USGS FAN 2015-301-CNT). (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
    LAB_ID
    Laboratory sample identification number (Source: USGS) Character string
    MASTER_ID
    Master sample identification number (Source: UNO) Character string
    LOCATION
    Coastal region describing the sample location (Source: UNO) Character string
    LOCATION2
    BICM region (USGS Open-File Report 2013–1083) describing the sample location (Source: USGS) Character string
    ENVIRONMEN
    General description of sampling environment (Source: UNO) Character string
    NAD83_LAT
    Latitude of sample location, in decimal degrees (North American Datum of 1983 [NAD83]) (Source: USGS)
    Range of values
    Minimum:29.019671
    Maximum:30.081930
    Units:Decimal degrees
    Resolution:0.000001
    NAD83_LON
    Longitude of sample location, in decimal degrees (NAD83) (Source: USGS)
    Range of values
    Minimum:-93.831487
    Maximum:-88.799903
    Units:Decimal degrees
    Resolution:0.000001
    TEXTURE
    Sediment texture, after Folk (1954) (Source: GRADISTAT) Character string
    MEAN_um
    Sample mean grain size, in microns (Source: GRADISTAT)
    Range of values
    Minimum:51.65
    Maximum:508.12
    Units:Microns
    Resolution:0.01
    SORTING_um
    Sample sorting - the standard deviation of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:1.26
    Maximum:3.87
    Units:Microns
    Resolution:0.01
    SKEWNES_um
    Sample skewness - deviation of the grain size distribution from symmetrical, in microns (Source: GRADISTAT)
    Range of values
    Minimum:-0.69
    Maximum:0.56
    Units:Microns
    Resolution:0.01
    KURTOSI_um
    Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:0.72
    Maximum:4.69
    Units:Microns
    Resolution:0.01
    MEAN_phi
    Sample mean grain size, in phi units (Source: GRADISTAT)
    Range of values
    Minimum:0.98
    Maximum:4.28
    Units:Phi
    Resolution:0.01
    MEAN
    Physical description of sample mean grain size (descriptive) (Source: GRADISTAT) Character string
    SORTING
    Physical description of sample sorting (descriptive) (Source: GRADISTAT) Character string
    SKEWNESS
    Physical description of sample skewness (descriptive) (Source: GRADISTAT) Character string
    KURTOSIS
    Physical description of sample kurtosis (descriptive) (Source: GRADISTAT) Character string
    D10_um
    Particle diameter representing the 10% cumulative percentile value (10% of the particles in the sediment sample are finer than the D10 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:4.89
    Maximum:297.07
    Units:Microns
    Resolution:0.01
    D50_um
    Particle diameter representing the 50% cumulative percentile value (10% of the particles in the sediment sample are finer than the D50 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:69.11
    Maximum:502.25
    Units:Microns
    Resolution:0.01
    D90_um
    Particle diameter representing the 90% cumulative percentile value (10% of the particles in the sediment sample are finer than the D90 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:114.01
    Maximum:1155.28
    Units:Microns
    Resolution:0.01
    SAND_pct
    Total sand fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:55.84
    Maximum:100.00
    Units:Percent
    Resolution:0.01
    MUD_pct
    Total mud fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:0.00
    Maximum:0.44.16
    Units:Percent
    Resolution:0.01
    2015-301-CNT_BICM_SumStats.xlsx; 2015-301-CNT_BICM_SumStats.csv
    Summary grain-size data for BICM project sediment samples collected from coastal Louisiana in 2015 and 2016 (USGS FAN 2015-301-CNT) provided as a Microsoft Excel workbook and comma-separated values text file. The averaged results for a subset of the statistical parameters calculated by GRADISTAT, including the number of runs used and the standard deviation of the averaged results are provided. (Source: USGS)
    2015-301-CNT_CAMI_SampleSites.csv; 2015-301-CNT_CAMI_SampleSites.shp; 2015-301-CNT_CAMI_SampleSites.kml
    Comma-separated values text file, Esri shapefile, and Keyhole Markup Language (KML) file defining the sample locations and selected grain-size metrics for Caminada Headland Beach and Dune Restoration project sediment samples collected from coastal Louisiana in 2017 (USGS FAN 2015-301-CNT). (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
    LAB_ID
    Laboratory sample identification number (Source: USGS) Character string
    MASTER_ID
    Master sample identification number (Source: UNO) Character string
    LOCATION
    Coastal region describing the sample location (Source: UNO) Character string
    NAD83_LAT
    Latitude of sample location, in decimal degrees (North American Datum of 1983 [NAD83]) (Source: USGS)
    Range of values
    Minimum:29.0712630
    Maximum:29.195617
    Units:Decimal degrees
    Resolution:0.000001
    NAD83_LON
    Longitude of sample location, in decimal degrees (NAD83) (Source: USGS)
    Range of values
    Minimum:-90.260773
    Maximum:--90.028027
    Units:Decimal degrees
    Resolution:0.000001
    TEXTURE
    Sediment texture, after Folk (1954) (Source: GRADISTAT) Character string
    MEAN_um
    Sample mean grain size, in microns (Source: GRADISTAT)
    Range of values
    Minimum:71.74
    Maximum:290.66
    Units:Microns
    Resolution:0.01
    SORTING_um
    Sample sorting - the standard deviation of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:1.28
    Maximum:2.03
    Units:Microns
    Resolution:0.01
    SKEWNES_um
    Sample skewness - deviation of the grain size distribution from symmetrical, in microns (Source: GRADISTAT)
    Range of values
    Minimum:-0.45
    Maximum:0.34
    Units:Microns
    Resolution:0.01
    KURTOSI_um
    Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:0.94
    Maximum:2.29
    Units:Microns
    Resolution:0.01
    MEAN_phi
    Sample mean grain size, in phi units (Source: GRADISTAT)
    Range of values
    Minimum:1.78
    Maximum:3.8
    Units:Phi
    Resolution:0.01
    MEAN
    Physical description of sample mean grain size (descriptive) (Source: GRADISTAT) Character string
    SORTING
    Physical description of sample sorting (descriptive) (Source: GRADISTAT) Character string
    SKEWNESS
    Physical description of sample skewness (descriptive) (Source: GRADISTAT) Character string
    KURTOSIS
    Physical description of sample kurtosis (descriptive) (Source: GRADISTAT) Character string
    D10_um
    Particle diameter representing the 10% cumulative percentile value (10% of the particles in the sediment sample are finer than the D10 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:26.46
    Maximum:193.99
    Units:Microns
    Resolution:0.01
    D50_um
    Particle diameter representing the 50% cumulative percentile value (10% of the particles in the sediment sample are finer than the D50 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:77.94
    Maximum:288.97
    Units:Microns
    Resolution:0.01
    D90_um
    Particle diameter representing the 90% cumulative percentile value (10% of the particles in the sediment sample are finer than the D90 grain size), in microns (Source: GRADISTAT)
    Range of values
    Minimum:120.82
    Maximum:541.11
    Units:Microns
    Resolution:0.01
    SAND_pct
    Total sand fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:69.44
    Maximum:100.00
    Units:Percent
    Resolution:0.01
    MUD_pct
    Total mud fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:0.00
    Maximum:30.56
    Units:Percent
    Resolution:0.01
    2015-301-CNT_CAMI_SumStats.xlsx; 2015-301-CNT_CAMI_SumStats.csv
    Summary grain-size data for Caminada Headland Beach and Dune Restoration project sediment samples collected from coastal Louisiana in 2017 (USGS FAN 2015-301-CNT) provided as a Microsoft Excel workbook and comma-separated values text file. The averaged results for for a subset of the statistical parameters calculated by GRADISTAT, including the number of runs used and the standard deviation of the averaged results are provided. (Source: USGS)
    Entity_and_Attribute_Overview:
    The detailed attribute descriptions for the summary statistics workbooks are provided in the included data dictionary (2015-301-CNT_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., Tuten, T.M., Flocks, J.G., Georgiou, I.Y., Kulp, M.A., Brown, Michael, and Courtois, Andrew, 2018, Sediment Data Collected in 2015, 2016, and 2017 from Coastal Louisiana: U.S. Geological Survey Data Release, https://doi.org/10.5066/F71G0KKD.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Julie C. Bernier
    • Thomas M. Tuten
    • James G. Flocks
    • Ioannis Y. Georgiou
    • Mark A. Kulp
    • Michael Brown
    • Andrew Courtois
  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: Julie C. Bernier
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

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

Why was the data set created?

Dissemination of processed sediment data from grab samples collected from coastal Louisiana in 2015, 2016, and 2017 (USGS FAN2015-301-CNT).

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: 2017 (process 1 of 5)
    Sediment grab samples were collected using a had scoop (subaerial and shallow-water samples) or a Petit Ponar grab sampler deployed manually from a boat (subaqueous samples). Sample locations were recorded at the time of collection using a handheld GPS receiver. The samples were visually inspected and described by UNO scientists, and samples with an estimated sand content of at least 70% were provided to the USGS SPCMSC sediment lab for processing and analysis. Person who carried out this activity:
    U.S. Geological Survey
    Attn: James G. Flocks
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    jflocks@usgs.gov
    Date: 2017 (process 2 of 5)
    At the SPCMSC sediment laboratory, grain-size analyses were performed using a Coulter LS 200 particle-size analyzer, which uses 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 874 samples collected in 2015 and 2016 for the BICM project and 77 samples collected in 2017 for the Caminada Headland Beach and Dune Restoration project were analyzed. 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. Two subsamples (sets) from each sample were processed (three runs per set) through the LS 200 particle-size analyzer, which measures 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). 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
    Date: 2017 (process 3 of 5)
    The raw grain-size data were run through GRADISTAT, version 8 (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 raw Coulter LS 200 grain-size data that were imported into GRADISTAT for analysis, individual run statistics for all GRADISTAT parameters, and ternary sand-silt clay plots are available for download at https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_GrainSize_RunStats.zip. The averaged results for a subset of the statistical parameters calculated by GRADISTAT, including the number of runs used and the standard deviation of the averaged results, are summarized in a series of Microsoft Excel spreadsheets and are available for download at https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_GrainSize_SumStats.zip. 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:
    • 2015-301-CNT_GrainSize_SumStats.zip
    • 2015-301-CNT_GrainSize_RunStats.zip
    Date: 2018 (process 4 of 5)
    The summary statistics files were appended with sample location attributes (latitude, longitude, regional description, and sampling environment), and the sample locations and selected grain-size metrics were imported into Esri ArcMap version 10.3 to create regional sample location maps. The maps were exported as Joint Photographic Experts Group (JPEG) files. 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:
    • 2015-301-CNT_Maps.zip
    Date: 13-Oct-2020 (process 5 of 5)
    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?
    Kindinger, J.L., Buster, N.A., Flocks, J.G., Bernier, J.C., and Kulp, M.A., 2013, Louisiana Barrier Island Comprehensive Monitoring (BICM) Program Summary Report: Data and Analyses 2006 through 2010: U.S. Geological Survey Open-File Report 2013–1083.

    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 sample sites is determined by the accuracy of the handheld 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-F71G0KKD/data/2015-301-CNT_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.
  2. How accurate are the geographic locations?
    Sample locations were recorded at the time of collection using multiple handheld GPS receivers. The accuracy of most handheld GPS units is 3 to 10 meters.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    Data release doi:10.5066/F71G0KKD associated with this metadata record includes the geographic locations and grain-size data for 874 sediment grab samples collected in 2015 and 2016 (BICM project) and 77 grab samples collected in 2017 (Caminada Headland Beach and Dune Restoration project) from coastal Louisiana (USGS FAN 2015-301-CNT). A total of 1,845 samples were collected in 2015 and 2016 for the BICM project; 971 of those samples were visually estimated to contain less than 70% sand and subsequent grain-size analyses were not performed.
  5. How consistent are the relationships among the observations, including topology?
    The sample locations provided are the positions recorded in the field. In some instances, the sample IDs recorded in the field included a suffix (environment indicator) and were shortened to a consistent length for lab purposes (for example, CHD011_011B was shortened to CHD011_011), or the field IDs used a different sample prefix than the master sample ID (for example, field ID PP001_034 corresponds to master ID CAM001_034S). Both lab and master IDs are provided in the summary statistics files. The complete grain-size dataset, including the raw Coulter LS 200 grain-size data that was imported into GRADISTAT, results of individual sample runs for all GRADISTAT parameters, and ternary sand-silt-clay plots, are included in the unedited GRADISTAT spreadsheets (https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_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: Julie C. Bernier
    Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    jbernier@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 location tables and grain-size data files were 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. The sample locations and summary grain-size statistics files are also provided as comma-separated values text files (.csv) and GIS data files (sample location files only) 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 sample location maps were created in Esri ArcMap version 10.3 and exported as JPEG files; these files can be opened 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)

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