Grain-Size and Site Data From Sediment Samples Collected at Seven Mile Island, New Jersey and Rockaway Peninsula, New York, Between May 2021 and June 2021

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Frequently anticipated questions:


What does this data set describe?

Title:
Grain-Size and Site Data From Sediment Samples Collected at Seven Mile Island, New Jersey and Rockaway Peninsula, New York, Between May 2021 and June 2021
Abstract:
Sediment grab samples were collected from one onshore location and 32 undisturbed locations along the seafloor around Seven Mile Island, New Jersey (NJ) and Rockaway Peninsula, New York (NY). The sediment grab samples were collected in May and June of 2021 at locations within the area where multibeam bathymetry surveys were also conducted during the same trip. All sediment samples were analyzed using a laser diffraction Coulter LS13 320 particle-size analyzer to measure the grain size distribution of the sediments. All the samples within the dataset are referred to by field activity numbers (FANs) 2021-318-FA and 2021-319-FA and are part of the Coastal Sediment Availability and Flux (CSAF) research project which collects geophysical, remote sensing and sediment data to inform models for improving prediction of coastal systems’ response to extreme weather and sea-level rise. For further information regarding data collection and/or processing methods for this data release, refer to Wei and Miselis (2022).
Supplemental_Information:
To ensure that U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) data management protocols were followed, these survey were assigned the following USGS field activity numbers: 2021-318-FA and 2021-319-FA. Additional survey and data details are available from the USGS Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/.
  1. How might this data set be cited?
    Everhart, Cheyenne S., and Wei, Emily A., 20220720, Grain-Size and Site Data From Sediment Samples Collected at Seven Mile Island, New Jersey and Rockaway Peninsula, New York, Between May 2021 and June 2021:.

    This is part of the following larger work.

    Everhart, Cheyenne S., Wei, Emily A., and Miselis, Jennifer L., 20220720, Grain-Size Data From Sediment Samples at Seven Mile Island, New Jersey and Rockaway Peninsula, New York: U.S. Geological Survey data release doi:10.5066/P9FH8ZJW, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -74.776901
    East_Bounding_Coordinate: -73.764508
    North_Bounding_Coordinate: 40.591265
    South_Bounding_Coordinate: 39.015752
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 20-May-2021
    Ending_Date: 25-Jun-2021
    Currentness_Reference:
    Ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: tabular digital data, vector digital 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
    2. What coordinate system is used to represent geographic features?
      The horizontal datum used is World Geodetic System of 1984 (WGS84).
      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.
  7. How does the data set describe geographic features?
    SMI_RKWY_GrainSize.csv; SMI_RKWY_GrainSize.xlsx
    Comma-separated values text (.csv) file and Microsoft Excel workbook (.xslx) summarizing grain-size parameters for each sediment grabs collected in Seven Mile Island, NJ and Rockaway Peninsula, NY (USGS FANs 2021-318-FA and 2021-319-FA). The averaged results for each sample, including the number of runs used, and the standard deviation of the averaged results are provided. For full entity and attribute details, please refer to the accompanying data dictionary, SMI_RKWY_GrainSize_DataDictionary.docx in SMI_RKWY_GrainSizeStats.zip. (Source: USGS)
    SMI_RKWY_RawCoulterOutput.csv
    Comma-separated values text (.csv) file containing the raw Coulter output of the class weight retained in each aperture bin as a percent of the total for each sediment grab collected in Seven Mile Island, NJ and Rockaway Peninsula, NY (USGS FANs 2021-318-FA and 2021-319-FA). (Source: USGS)
    Sample Identity:
    Sample identification name (Source: USGS) Character string containing the sample identification information and set number.
    Analyst:
    Last name of the person analyzing the sample on the laser diffraction Coulter LS13 320 particle-size analyzer. (Source: USGS)
    ValueDefinition
    EverhartCheyenne Everhart of the USGS SPCMSC conducted the analysis of the sample.
    Date:
    Date and time the sample was analyzed in MM/DD/YYYY HH:MM:SS AM/PM format. (Source: USGS)
    Range of values
    Minimum:8/9/2021 3:38:00 PM
    Maximum:9/1/2021 3:12:00 PM
    Aperture (microns)
    Coulter software bin aperture, in microns (Source: Beckman Coulter LS13 320 Software)
    Range of values
    Minimum:0.375
    Maximum:1822
    Class Weight Retained (%)
    The percent of that class weight retained of the total sample for the given bin aperature (Source: Beckman Coulter LS13 320 Software)
    Range of values
    Minimum:0
    Maximum:15.3
    SMI_GrainSizeSites.csv; SMI_GrainSizeSites.shp; SMI_GrainSizeSites.kmz
    Comma-separated values text files (.csv), Esri shapefiles (.shp), and Keyhole Markup Language, Zipped (.kmz) files defining the sample locations and selected grain-size metrics for sediment samples collected from Seven Mile Island, NJ. (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
    SAMPLE_ID
    Sample identification name assigned to sediment grabs collected from Seven Mile Island, NJ. (Source: USGS) The sample ID was assigned using the following convention: the FAN (2021-318-FA), followed by a dash “SMI”, and a double-digit number. Example: 2021-318-FA-SMI-05.
    WGS84_LAT
    Latitude of sample location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:39.015752
    Maximum:39.098590
    Units:Decimal Degrees
    Resolution:0.000001
    WGS84_LON
    Longitude of sample location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:-74.776901
    Maximum:-73.769164
    Units:Decimal Degrees
    Resolution:0.000001
    LOCATION
    Coastal region describing the sample location (Source: USGS)
    ValueDefinition
    Seven Mile IslandThe sediment sample grab was collected at Seven Mile Island, NJ.
    DATE
    Date of field collection (Source: USGS)
    Range of values
    Minimum:5/20/2021
    Maximum:5/20/2021
    TEXTURE
    Sediment texture, after Folk (1954) (Source: GRADISTAT) Character string: sand, muddy sand, or sandy mud.
    MEAN_um
    Sample mean grain size, in microns (Source: GRADISTAT)
    Range of values
    Minimum:8.10
    Maximum:550.84
    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:1.339
    Maximum:5.104
    Units:Microns
    Resolution:0.001
    SKEWNESS_um
    Sample skewness - deviation of the grain size distribution from symmetrical, in microns (Source: GRADISTAT)
    Range of values
    Minimum:-0.744
    Maximum:0.261
    Units:Microns
    Resolution:0.001
    KURTOSISum
    Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:0.817
    Maximum:2.767
    Units:Microns
    Resolution:0.001
    MEAN_phi
    Sample mean grain size, in phi units (Source: GRADISTAT)
    Range of values
    Minimum:0.860
    Maximum:6.949
    Units:Phi
    Resolution:0.001
    MEAN
    Physical description of sample mean grain size (descriptive) (Source: GRADISTAT) Character string: coarse sand, coarse silt, fine sand, medium sand, medium silt, or very fine sand.
    SORTING
    Physical description of sample sorting (descriptive) (Source: GRADISTAT) Character string: moderately sorted, moderately well sorted, poorly sorted, very poorly sorted, or well sorted.
    SKEWNESS
    Physical description of sample skewness (descriptive) (Source: GRADISTAT) Character string: coarse skewed, fine skewed, symmetrical, or very fine skewed.
    KURTOSIS
    Physical description of sample kurtosis (descriptive) (Source: GRADISTAT) Character string: leptokurtic, mesokurtic, platykurtic, or very leptokurtic.
    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:1.01
    Maximum:268.39
    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:8.38
    Maximum:579.19
    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:78.25
    Maximum:873.12
    Units:Microns
    Resolution:0.01
    SAND_pct
    Total sand fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:12.6
    Maximum:100
    Units:Percent
    Resolution:0.01
    MUD_pct
    Total mud fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:0.8
    Maximum:87.4
    Units:Percent
    Resolution:0.01
    RKWY_GrainSizeSites.csv; RKWY_GrainSizeSites.shp; RKWY_GrainSizeSites.kmz
    Comma-separated values text files (.csv), Esri shapefiles (.shp), and Keyhole Markup Language Zipped (.kmz) files defining the sample locations and selected grain-size metrics for sediment samples collected from Rockaway Peninsula, NY. (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
    SAMPLE_ID
    Sample identification name assigned to sediment grabs collected on Rockaway Peninsula, NY. (Source: USGS) The sample ID was assigned using the following convention: the FAN (2021-319-FA), followed by a dash “RKWY”, and a double-digit number. Example: 2021-319-FA-RKWY-22
    WGS84_LAT
    Latitude of sample location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:40.533981
    Maximum:40.591265
    Units:Decimal Degrees
    Resolution:0.000001
    WGS84_LON
    Longitude of sample location, in decimal degrees (WGS84) (Source: USGS)
    Range of values
    Minimum:-73.764508
    Maximum:-73.928698
    Units:Decimal Degrees
    Resolution:0.000001
    LOCATION
    Coastal region describing the sample location (Source: USGS)
    ValueDefinition
    Rockaway PeninsulaThe sediment sample grab was collected from Rockaway Peninsula, NY.
    DATE
    Date of field collection (Source: USGS)
    Range of values
    Minimum:6/17/2021
    Maximum:6/25/2021
    TEXTURE
    Sediment texture, after Folk (1954) (Source: GRADISTAT) Character string: muddy sand, or sand.
    MEAN_um
    Sample mean grain size, in microns (Source: GRADISTAT)
    Range of values
    Minimum:64.62
    Maximum:307.78
    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:1.265
    Maximum:3.415
    Units:Microns
    Resolution:0.001
    SKEWNESS_um
    Sample skewness - deviation of the grain size distribution from symmetrical, in microns (Source: GRADISTAT)
    Range of values
    Minimum:-0.668
    Maximum:0.241
    Units:Microns
    Resolution:0.001
    KURTOSISum
    Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (Source: GRADISTAT)
    Range of values
    Minimum:0.943
    Maximum:2.233
    Units:Microns
    Resolution:0.001
    MEAN_phi
    Sample mean grain size, in phi units (Source: GRADISTAT)
    Range of values
    Minimum:1.70
    Maximum:3.962
    Units:Phi
    Resolution:0.001
    MEAN
    Physical description of sample mean grain size (descriptive) (Source: GRADISTAT) Character string: medium sand, fine sand, or very fine sand.
    SORTING
    Physical description of sample sorting (descriptive) (Source: GRADISTAT) Character string: moderately sorted, moderately well sorted, poorly sorted, very well sorted, or well sorted.
    SKEWNESS
    Physical description of sample skewness (descriptive) (Source: GRADISTAT) Character string: coarse skewed, fine skewed, symmetrical, or very fine skewed.
    KURTOSIS
    Physical description of sample kurtosis (descriptive) (Source: GRADISTAT) Character string: leptokurtic, mesokurtic, or very leptokurtic.
    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:6.51
    Maximum:184.21
    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:101.19
    Maximum:338.3
    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:169.12
    Maximum:671.44
    Units:Microns
    Resolution:0.01
    SAND_pct
    Total sand fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:71.2
    Maximum:100
    Units:Percent
    Resolution:0.01
    MUD_pct
    Total mud fraction of the sediment sample, in percent (Source: GRADISTAT)
    Range of values
    Minimum:0
    Maximum:28.8
    Units:Percent
    Resolution:0.01
    Entity_and_Attribute_Overview:
    The detailed attribute descriptions for the grain-size statistics summaries are provided in the included data dictionary (SMI_RP_GrainSize_DataDictionary.docx). These metadata are not complete without these files.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Cheyenne S. Everhart
    • Emily A. Wei
  2. Who also contributed to the data set?
    Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data. The authors would like to thank Andrew Farmer, BJ Reynolds, and Chelsea Stalk for their hard work collecting sediment samples in the field. This document was improved by the scientific and metadata reviews of Julie Bernier and Breanna Williams.
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Emily A. Wei
    Research Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

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

Why was the data set created?

Disseminate sample location data, raw, and processed grain-size data from sediment surface grab samples collected from Seven Mile Island, NJ in May 2021 and Rockaway Peninsula, NY in June of 2021 (FANs 2021-318-FA and 2021-319-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: 25-Jun-2021 (process 1 of 4)
    Surface sediment grabs were collected by USGS scientists from the Research Vessel (R/V) Sallenger off the coast of Seven Mile Island, NJ and Rockaway Peninsula, NY. The marine sediment grabs were collected in May 2021 and June 2021 during the same time interval as the multibeam bathymetric surveys. A Petite Ponar grab sampler was used to sample sediment from a previously undisturbed layer of sediment atop the seafloor to ensure all grain sizes were sampled. The only onshore sample collected was on Rockaway Beach from an exposed alluvium section from the undercut boardwalk (sample identifier RKWY70). The surficial layer was scraped away before RKWY70 was sampled by hand. Samples were brought back to the SPCMSC Sediment Laboratory for analysis. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Emily A. Wei
    Research Geologist
    600 4th Street South
    St. Petersburg, FL
    USA

    (727) 502-8000 (voice)
    ewei@usgs.gov
    Date: 01-Sep-2021 (process 2 of 4)
    Particle-size analysis was performed on all the sediment grabs collected from the Rockaway Peninsula, NY and Seven Mile Island, NY study sites. Grain-size analyses on the samples were performed using a Coulter LS13 320 (https://www.beckmancoulter.com/) particle-size analyzer (PSA), that uses laser diffraction to measure the size distribution of sediments from 0.4 microns to 2 millimeters (mm), encompassing clay to very coarse-grained sand. To prevent large shell fragments from damaging the instrument, particles greater than 1 mm in diameter were separated from all samples prior to analysis using a number 18 (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. For any dry sediments, the material removed by sieving at 1 mm is recorded and reported as a percent of the total bulk dry weight with the final processed grain-size data. Two subsamples from each sample were processed through the instrument a minimum of four runs each. Once introduced into the Coulter PSA, the sediment in the sample well was sonicated with a sonicator wand for 30 seconds to separate any aggregates before starting the first run for both subsamples. The Coulter PSA 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: Cheyenne S. Everhart
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    USA

    (727) 502-8000 (voice)
    ceverhart@usgs.gov
    Date: Sep-2021 (process 3 of 4)
    All raw grain-size data was run through the free software GRADISTAT version 8, (Blott and Pye, 2001; kpal.co.uk/gradistat), which calculates the mean, sorting, skewness and kurtosis of each sample geometrically, in metric units and logarithmically in phi units (Φ) (Krumbein, 1934) using the Folk and Ward (1957) scale. The compilation of the raw Coulter output files for all grain-size samples as they appear imported into GRADISTAT, before any statistics have been computed, is included in this data release for advanced users. 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 function in Microsoft Excel, developed by the USGS SPCMSC, was applied to the data to calculate average and standard deviation for each sample set (8 runs per sample), and highlight runs that varied from the set average by more than ±1.5 standard deviations. Excessive deviations from the mean are likely the result of equipment error or extraneous organic material in the sample and are not considered representative of the sample. The highlighted runs were removed from the results and the sample average was recalculated using the remaining runs. The averaged results for all samples, including the number of averaged runs and the standard deviation of the averaged results, were summarized in an Excel workbook with samples from each FAN on its own tab. A comma-separated values (CSV) data file containing the tabular data in plain text is included in the download file. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Cheyenne S. Everhart
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    USA

    (727) 502-8000 (voice)
    ceverhart@usgs.gov
    Data sources produced in this process:
    • SMI_RKWY_RawCoulterOutput.csv
    • SMI_RKWY_GrainSize.csv
    • SMI_RKWY_GrainSize.xlsx
    Date: 05-Jul-2022 (process 4 of 4)
    The summary statistics files were appended with sample location attributes (latitude, longitude, and location description). These sample locations and selected grain-size metrics were imported into Esri ArcMap version 10.6 to create shapefiles (.shp). The conversion tool within ArcToolBox was used to convert the shapefiles into Keyhole Markup Language Zipped (.kmz) files. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Cheyenne S. Everhart
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    USA

    (727) 502-8000 (voice)
    ceverhart@usgs.gov
    Data sources produced in this process:
    • SMI_GrainSizeSites.csv; RKWY_GrainSizeSites.csv
    • SMI_GrainSizeSites.shp; RKWY_GrainsSizeSites.shp
    • SMI_GrainSizeSites.kmz; RKWY_GrainsSizeSites.kmz
  3. What similar or related data should the user be aware of?
    Wei, E.A., and Miselis, J.L., 20220720, Geologic framework, anthropogenic impacts, and hydrodynamics contribute to variable sediment availability and shoreface morphology at the Rockaway Peninsula, NY: Journal of Marine Science and Engineering Volume 10, Issue 7.

    Online Links:

    Other_Citation_Details: Pages 989
    Coulter, Beckman, 201110, LS 13 320 laser diffraction particle size analyzer instructions for use.

    Online Links:

    Blott, S.J. and Pye, K., 20010928, GRADISTAT: A grain size distribution and statistics package for the analysis of unconsolidated sediments: Earth Surface Processes and Landforms Volume 26, Issue 11.

    Online Links:

    Other_Citation_Details: Pages 1237-1248
    Folk, R.L, and Ward, W.C., 19570301, Brazos River bar: A study in the significance of grain size parameters: Journal of Sedimentary Petrology Volume 27, No. 1.

    Online Links:

    Other_Citation_Details: Pages 3-26
    Krumbein, W.C., 19340801, Size frequency distributions of sediments: Journal of Sedimentary Petrology Volume 4, No. 2.

    Online Links:

    Other_Citation_Details: Pages 65-77
    Wentworth, C.K., 1922, A scale of grade and class terms for clastic sediments: Journal of Geology Volume 30, No. 5.

    Online Links:

    Other_Citation_Details: Pages 377-392
    Folk, R.L., 195407, The distinction between grain size and mineral composition in sedimentary-rock nomenclature: Journal of Geology Volume 62, No. 4.

    Online Links:

    Other_Citation_Details: Pages 344-359

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

  1. How well have the observations been checked?
    The grain-size data represent the sample averages for a subset of the statistical parameters calculated by GRADISTAT (Blott and Pye, 2001). The number of runs included in the averaged results are reported, and the standard deviation of the averaged results are reported for most parameters. There was not enough material available to run a second subsample for 2021-318-FA-SMI15. Only four runs were used to calculate the averaged statistical parameters for 2021-318-FA-SMI15, but the overall data quality was still judged to be reliable. A secondary data review determined that all grain-size data reported met the laboratory’s quality control requirements. Beckman Coulter control standards G15 (15 microns [µm]) and GB500 (500 µm) were analyzed on the Coulter LS13 320 particle-size analyzer before all sediment samples were analyzed to validate instrument performance (Beckman Coulter, 2011).
  2. How accurate are the geographic locations?
    Sample locations were recorded at the time of collection using the same navigation system associated with coincident multibeam surveys, Applanix Pos MV Wavemaster II V5. The Applanix collected position information in the World Geodetic System of 1984 (WGS84) datum. The horizontal accuracy of this system is within <0.1 meters. The sample location for the onshore Rockaway sample, RKWY70, was recorded using a Global Positioning System (GPS)`-enabled smartphone. The accuracy of most GPS-enabled smartphones is within 4.9 meters.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This data release doi:10.5066/P9FH8ZJW contains all grain-size data associated with USGS FANs 2021-318-FA and 2021-319-FA. It includes the geographic site location and grain-size statistics for all sediment samples collected at Seven Mile Island, NJ and Rockaway Peninsula, NY during May and June of 2021.
  5. How consistent are the relationships among the observations, including topology?
    The grain-size sample runs in the GRADISTAT output files for which the mean Folk and Ward (1957) 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 Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. 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: Cheyenne S. Everhart
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL
    USA

    727-502-8000 (voice)
    ceverhart@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 data tables for USGS FANs 2021-318-FA and 2021-319-FA were created in Microsoft Excel version 2102 and can be opened using Microsoft Excel 2007 or higher. The data tables are also provided as a CSV file (.csv). The .csv data file contains the tabular data in plain text and may be viewed with a standard text editor. The Word Document (.docx) can be viewed with a standard text editor. The sample site location files are provided as comma-separated values text files (.csv) and GIS data files in Esri shapefile (.shp) and Keyhole Markup Language Zipped (.kmz) format; the GIS files can be opened using the free ArcGIS Explorer or Google Earth GIS viewers.

Who wrote the metadata?

Dates:
Last modified: 20-Jul-2022
Metadata author:
U.S. Geological Survey
Attn: Cheyenne S. Everhart
Physical Scientist
600 4th Street South
St. Petersburg, FL
USA

727-502-8000 (voice)
ceverhart@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/SMI_RKWY_GrainSize_Metadata.faq.html>
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