Grain-Size Analysis Data From Sediment Samples in Support of Oceanographic and Water-Quality Measurements in the Nearshore Zone of Matanzas Inlet, Florida, 2018

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What does this data set describe?

1. How might this data set be cited?
   Suttles, Steven E., De, Olivia A. Meo, Martini, Marinna A., and Warner, John C., 20210511, Grain-Size Analysis Data From Sediment Samples in Support of Oceanographic and Water-Quality Measurements in the Nearshore Zone of Matanzas Inlet, Florida, 2018: data release DOI:10.5066/P9FKARIZ, U.S. Geological Survey, Reston, VA.

   Online Links:

   • https://doi.org/10.5066/P9FKARIZ
   • https://www.sciencebase.gov/catalog/item/5ff8d338d34ea5387df04519

   Other_Citation_Details:

   Suggested citation: Suttles, S.E., De Meo, O.A., Martini, M.A., and Warner, J.C., 2021, Grain-size analysis data from sediment samples in support of oceanographic and water-quality measurements in the nearshore zone of Matanzas Inlet, Florida, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9FKARIZ.

2. What geographic area does the data set cover?

   West_Bounding_Coordinate: -81.21958
   East_Bounding_Coordinate: -81.21388
   North_Bounding_Coordinate: 29.71382
   South_Bounding_Coordinate: 29.71073
   

3. What does it look like?

   https://www.sciencebase.gov/catalog/file/get/5ff8d338d34ea5387df04519?name=ShipekGrabSampler.JPG (JPEG)

   A picture of the Shipek grab sampler used to collect the sediment samples for grain-size analysis at Matanzas Inlet, FL.

4. Does the data set describe conditions during a particular time period?

   Beginning_Date: 24-Jan-2018

   Ending_Date: 13-Apr-2018

   Currentness_Reference:

   Ground condition. Sediment samples were collected on the following dates: January 24, 2018, and April 13, 2018.

5. What is the general form of this data set?

   Geospatial_Data_Presentation_Form: vector and tabular 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 (14)
   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 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.
      
7. How does the data set describe geographic features?

   Matanzas_GrainSize_Results.csv

   Data spreadsheet containing grain-size analysis results analyzed using the HORIBA laser diffraction unit and sieving of the ≥ -2 phi fraction. These are the attributes for the CSV file. The shapefile has two additional software-generated attributes, FID and Shape, and some modified field names that are truncated and have underscores instead of spaces and hyphens. Please see the entity and attribute overview section for a description of the shapefile attributes. (Source: U.S. Geological Survey)

   ANALYSIS_ID

   An identifier for the sample which is unique to the database. This identifier begins with the assigned multi-letter code GS-, which corresponds to the type of analysis performed on the sample (grain-size analysis), followed by a six digit number assigned sequentially as samples are registered for analysis. (Source: U.S. Geological Survey) Character string.

   SAMPLE_ID

   The identification value assigned to the sample at the time of collection. This varies from field activity to field activity and the ID can contain any combination of letters and numbers. (Source: USGS East Coast Sediment Texture Database data dictionary) Character string.

   PROJECT

   Name of project or project number under which samples were taken or data generated; sometimes project name indicates a more specific area. (Source: USGS East Coast Sediment Texture Database data dictionary) Character string.

   FAN

   The serial number assigned to the dataset field activity during which the sample was collected. This value is in the format YYYY-XXX-FA where YYYY is the year, XXX is the number assigned to the activity within the year, and FA indicates Field Activity. (Source: modified from USGS East Coast Sediment Texture Database data dictionary) Character string.

   SUBMITTER

   Name of Principal Investigator or Chief Scientist responsible for data collection (usually first initial and last name) when available. (Source: modified from USGS East Coast Sediment Texture Database data dictionary) Character string.

   AREA

   General geographic area of data collection. Name is general enough to easily locate area on a state map. (Source: USGS East Coast Sediment Texture Database data dictionary) Character string.

   SUBMISSION

   Unique sample submission identifier. This identifier begins with the initials of the submitter, followed by a two-digit number assigned sequentially relative to previous submissions. (Source: U.S. Geological Survey) Character string.

   LATITUDE

   Latitude coordinate, in decimal-degrees, of sample location. South latitude is recorded as negative values. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	29.71073
   Maximum:	29.71382
   Units:	Decimal degrees

   LONGITUDE

   Longitude coordinate, in decimal degrees, of sample location. West longitude is recorded as negative values. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	-81.21958
   Maximum:	-81.21388
   Units:	Decimal degrees

   DEPTH_M

   Measured depth, in meters, of water overlying sediment at sample time. Depth value is not corrected for tides. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	7.00
   Maximum:	14.00
   Units:	meters

   T_DEPTH

   Top depth of sample, in centimeters, below the sediment-water interface. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	0.0
   Maximum:	0.0
   Units:	centimeters

   B_DEPTH

   Bottom depth of sample, in centimeters, below the sediment-water interface. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	2.0
   Maximum:	2.0
   Units:	centimeters

   DEVICE

   Device used to collect the sample. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Value	Definition
   Shipek Grab	Benthic grab sampler made by ENVCO.

   DATE COLLECTED

   Calendar date indicating when the sample was collected in the format DD-M-YYYY where DD is the day of the month, M is the month abbreviation, and YYYY is the year. (Source: U.S. Geological Survey) Character string.

   ANALYSIS COMPLETION DATE

   Calendar date indicating when sample analysis was completed in the format DD-M-YYYY where DD is the day of the month, M is the month abbreviation, and YYYY is the year. (Source: U.S. Geological Survey) Character string.

   ANALYSIS METHOD

   Method used to analyze the sample for grain-size distribution. (Source: U.S. Geological Survey)

   Value	Definition
   GS-LD	Grain-size analysis using the HORIBA laser diffraction unit and sieving of the >= -2 phi fraction.

   WEIGHT WET SAMPLE

   Weight of wet sample in grams. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	12.3850
   Maximum:	27.8781
   Units:	grams
   Resolution:	0.0001

   GRAVEL

   Gravel content in percent dry weight of the sample (particles with nominal diameters greater than 2 mm; -1 phi and larger). (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	0.0000
   Maximum:	4.9345
   Units:	weight percent
   Resolution:	0.0001

   SAND

   Sand content in percent dry weight of the sample (particles with nominal diameters less than 2 mm, but greater than or equal to 0.0625 mm; 0 phi through 4 phi, inclusive). (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	70.1110
   Maximum:	100.0000
   Units:	weight percent
   Resolution:	0.0001

   SILT

   Silt content in percent dry weight of the sample (particles with nominal diameters less than 0.0625 mm, but greater than or equal to 0.004 mm; 5 phi through 8 phi, inclusive). (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	0.0000
   Maximum:	27.4701
   Units:	weight percent
   Resolution:	0.0001

   CLAY

   Clay content in percent dry weight of the sample (particles with nominal diameters less than 0.004 mm; 9 phi and smaller). (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	0.0000
   Maximum:	0.2268
   Units:	weight percent
   Resolution:	0.0001

   CLASSIFICATION

   Sediment description based on a rigorous definition (Shepard [1954] as modified by Schlee and Webster [1967], Schlee [1973], and Poppe and others [2014]. These values represent the classifications that are present in this dataset, not all possible sediment classifications. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Value	Definition
   silty sand	Sediment whose main phase is sand, but with significant silt.
   sand	Sediment whose main phase is less than 2 mm, but greater than or equal to 0.0625 mm.

   MEAN_PHI

   Average value in the grain-size distribution in phi units. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	2.03
   Maximum:	3.37
   Units:	phi
   Resolution:	0.01

   STDEV_PHI

   Standard deviation (root mean square of the deviations) of the grain-size distribution in phi units. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	0.55
   Maximum:	2.21
   Units:	phi
   Resolution:	0.01

   SKEWNESS_PHI

   Skewness (deviation from symmetrical form) of the grain-size distribution using logarithmic method of moments in phi units. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	-0.51
   Maximum:	0.95
   Units:	phi
   Resolution:	0.01

   KURTOSIS_PHI

   Kurtosis (degree of curvature near the mode) of the grain-size distribution using logarithmic method of moments in phi units. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	2.34
   Maximum:	9.91
   Units:	phi
   Resolution:	0.01

   D10_PHI

   Diameter at which 10% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.60
   Maximum:	1.59
   Units:	phi
   Resolution:	0.01

   D25_PHI

   Diameter at which 25% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	1.35
   Maximum:	2.18
   Units:	phi
   Resolution:	0.01

   D50_PHI

   Diameter at which 50% of the sample mass is comprised of sediment particles with a diameter less than this value and 50% is larger; middle point in the grain-size distribution in phi units. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	2.09
   Maximum:	2.73
   Units:	phi
   Resolution:	0.01

   D75_PHI

   Diameter at which 75% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	2.65
   Maximum:	5.13
   Units:	phi
   Resolution:	0.01

   D90_PHI

   Diameter at which 90% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	2.90
   Maximum:	6.54
   Units:	phi
   Resolution:	0.01

   MEAN_μM

   Average value in the grain-size distribution in microns. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	148.64
   Maximum:	622.18
   Units:	microns
   Resolution:	0.01

   STDEV_μM

   Standard deviation (root mean square of the deviations) of the grain-size distribution in microns. (Source: USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	72.51
   Maximum:	1793.05
   Units:	microns
   Resolution:	0.01

   SKEWNESS_μM

   Skewness (deviation from symmetrical form) of the grain-size distribution in microns. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	-0.15
   Maximum:	17.12
   Units:	microns
   Resolution:	0.01

   KURTOSIS_μM

   Kurtosis (degree of curvature near the mode) of the grain-size distribution in microns. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	2.20
   Maximum:	342.35
   Units:	microns
   Resolution:	0.01

   D10_μM

   Diameter at which 10% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	12.32
   Maximum:	157.47
   Units:	microns
   Resolution:	0.01

   D25_μM

   Diameter at which 25% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	27.90
   Maximum:	191.35
   Units:	microns
   Resolution:	0.01

   D50_μM

   Diameter at which 50% of the sample mass is comprised of sediment particles with a diameter less than this value and 50% is larger; middle point in the grain-size distribution in microns. (Source: modified from USGS East Coast Sediment Texture Database data dictionary)

   Range of values
   Minimum:	165.39
   Maximum:	249.91
   Units:	microns
   Resolution:	0.01

   D75_μM

   Diameter at which 75% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	235.93
   Maximum:	375.89
   Units:	microns
   Resolution:	0.01

   D90_μM

   Diameter at which 90% of the sample mass is comprised of sediment particles with a diameter less than this value. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	293.89
   Maximum:	602.11
   Units:	microns
   Resolution:	0.01

   PHI_16

   16 phi: weight percent of the sample in the 16 phi fraction and smaller (nominal diameter of particles less than 0.00003125 mm); colloid. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_15

   15 phi: weight percent of the sample in the 15 phi fraction (nominal diameter of particles greater than or equal to 0.00003125 mm, but less than 0.0000625 mm); colloid. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_14

   14 phi: weight percent of the sample in the 14 phi fraction (nominal diameter of particles greater than or equal to 0.0000625 mm, but less than 0.000125 mm); colloid. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_13

   13 phi: weight percent of the sample in the 13 phi fraction (nominal diameter of particles greater than or equal to 0.000125 mm, but less than 0.00025 mm); fine clay. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_12

   12 phi: weight percent of the sample in the 12 phi fraction (nominal diameter of particles greater than or equal to 0.00025 mm, but less than 0.0005 mm); fine clay. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_11

   11 phi: weight percent of the sample in the 11 phi fraction (nominal diameter of particles greater than or equal to 0.0005 mm, but less than 0.001 mm); fine clay. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_10

   10 phi: weight percent of the sample in the 10 phi fraction (nominal diameter of particles greater than or equal to 0.001 mm, but less than 0.002 mm); medium clay. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_9

   9 phi: weight percent of the sample in the 9 phi fraction (nominal diameter of particles greater than or equal to 0.002 mm, but less than 0.004 mm); coarse clay. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.227
   Units:	weight percent
   Resolution:	0.001

   PHI_8

   8 phi: weight percent of the sample in the 8 phi fraction (nominal diameter of particles greater than or equal to 0.004 mm, but less than 0.008 mm); very fine silt. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	4.084
   Units:	weight percent
   Resolution:	0.001

   PHI_7

   7 phi: weight percent of the sample in the 7 phi fraction (nominal diameter of particles greater than or equal to 0.008 mm, but less than 0.016 mm); fine silt. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	16.442
   Units:	weight percent
   Resolution:	0.001

   PHI_6

   6 phi: weight percent of the sample in the 6 phi fraction (nominal diameter of particles greater than or equal to 0.016 mm, but less than 0.031 mm); medium silt. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	7.173
   Units:	weight percent
   Resolution:	0.001

   PHI_5

   5 phi: weight percent of the sample in the 5 phi fraction (nominal diameter of particles greater than or equal to 0.031 mm, but less than 0.0625 mm); coarse silt. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	3.568
   Units:	weight percent
   Resolution:	0.001

   PHI_4

   4 phi: weight percent of the sample in the 4 phi fraction (nominal diameters of particles greater than or equal to 0.0625 mm, but less than 0.125 mm); very fine sand. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	3.204
   Maximum:	12.120
   Units:	weight percent
   Resolution:	0.001

   PHI_3

   3 phi: weight percent of the sample in the 3 phi fraction (nominal diameter of particles greater than or equal to 0.125 mm, but less than 0.25 mm); fine sand. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	39.386
   Maximum:	67.413
   Units:	weight percent
   Resolution:	0.001

   PHI_2

   2 phi: weight percent of the sample in the 2 phi fraction (nominal diameter of particles greater than or equal to 0.25 mm, but less than 0.5 mm); medium sand. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	15.283
   Maximum:	36.845
   Units:	weight percent
   Resolution:	0.001

   PHI_1

   1 phi: weight percent of the sample in the 1 phi fraction (nominal diameter of particles greater than or equal to 0.5 mm, but less than 1 mm); coarse sand. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	8.219
   Units:	weight percent
   Resolution:	0.001

   PHI_0

   0 phi: weight percent of the sample in the 0 phi fraction (nominal diameters of particles greater than or equal to 1 mm, but less than 2 mm); very coarse sand. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.154
   Units:	weight percent
   Resolution:	0.001

   PHI_-1

   -1 phi: weight percent of the sample in the -1 phi fraction (nominal diameter of particles greater than or equal to 2 mm, but less than 4 mm); very fine pebbles (granules). (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_-2

   -2 phi: weight percent of the sample in the -2 phi fraction (nominal diameter of particles greater than or equal to 4 mm, but less than 8 mm); fine pebbles. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	3.098
   Units:	weight percent
   Resolution:	0.001

   PHI_-3

   -3 phi: weight percent of the sample in the -3 phi fraction (nominal diameter of particles greater than or equal to 8 mm, but less than 16 mm); medium pebbles. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	2.065
   Units:	weight percent
   Resolution:	0.001

   PHI_-4

   -4 phi: weight percent of the sample in the -4 phi fraction (nominal diameter of particles greater than or equal to 16 mm, but less than 32 mm); coarse pebbles. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_-5

   -5 phi: weight percent of the sample in the -5 phi fraction (nominal diameter of particles greater than or equal to 32 mm, but less than 64 mm); very coarse pebbles. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   PHI_-6

   -6 phi: weight percent of the sample in the -6 phi fraction and larger (nominal diameter of particles greater than or equal to 64 mm); cobbles and boulders. (Source: U.S. Geological Survey)

   Range of values
   Minimum:	0.000
   Maximum:	0.000
   Units:	weight percent
   Resolution:	0.001

   ANALYST

   Name (usually first, middle, and last initials) of person who performed the grain-size or physical properties analysis. (Source: U.S. Geological Survey) Character string.

   QUALITY GRADE

   Samples are assigned a quality grade based on the examination of the analytical data. Data quality grades may be determined by several factors, and any comments or notes that indicate the data for a particular sample may be suspect are included in the "QA/QC COMMENTS" attribute. Quality grades for sample data that do not have any additional comments are assigned based on the calculated percent difference between the weights of the coarse fraction remaining after wet sieving and the sum of all of the weighed fractions after dry sieving the coarse fraction, indicating an estimated differing amount of material which could skew the calculated grain-size results: A = percent differences between 0% and ±1.5%, B = percent differences between ±1.5% and ±3%, C = percent differences between ±3% and ±4.5%, and D = percent differences greater than ±4.5%. The quality grade is followed by a hypen and the analyst's initials. (Source: U.S. Geological Survey) Character string.

   QA/QC COMMENTS

   Relevant comments on analytical observations or anomalies that may affect the quality of the data. Entries with no comments are left blank. (Source: U.S. Geological Survey) Character string.

   Entity_and_Attribute_Overview:

   These data are available in a CSV format and an Esri shapefile. The first line of the CSV file is a header line and those labels are the same as defined in the attribute section. The shapefile has the same fields as the CSV file and two additional attributes, FID (an internal feature number) and Shape (feature geometry). Please note that some of the field names in the shapefile were modified to include underscores instead of spaces and hyphens and truncated to 10 characters since a shapefile has restrictions on field name characters and length (e.g., the "DATE_COLLE" attribute in the shapefile is the same as the "DATE COLLECTED" attribute in the CSV file. Additionally, where negative phi values appear in the field name in the shapefile, they have been replaced with an M for minus, since the shapefile cannot accomodate negative values in the field names (e.g. PHI_-1 is written as PHI_M1).

   Entity_and_Attribute_Detail_Citation: USGS Field Activities 2018-026-FA and 2018-032-FA.
   

Who produced the data set?

1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
   • Steven E. Suttles
   • Olivia A. De Meo
   • Marinna A. Martini
   • John C. Warner
2. Who also contributed to the data set?
3. To whom should users address questions about the data?
   Olivia A. De Meo

   U.S. Geological Survey

   Technical Information Specialist

   384 Woods Hole Road

   Woods Hole, MA
   

   US

   508-548-8700 x2356 (voice)

   508-457-2310 (FAX)

   odemeo@usgs.gov

Why was the data set created?

These grain-size data from sediment samples collected at two sites near Matanzas Inlet, Florida, on January 24, 2018, and April 13, 2018, supplement oceanographic and water-quality time-series measurements. Specifically, the grain-size data are used in sediment transport models to compare predicted estimates of sediment resuspension and transport with observed estimates obtained from data collected during this study.

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: 24-Jan-2018 (process 1 of 6)

   Deployment sample collection: Collected 6 sediment grab samples from the R/V Savannah using the Shipek surficial grab sampler at two sites offshore of the surfzone at Matanzas Inlet, Florida, in January 2018.

   Date: 13-Apr-2018 (process 2 of 6)

   Recovery sample collection: Collected 6 sediment grab samples from the R/V Savannah using Shipek surficial grab sampler at two sites offshore of the surfzone at Matanzas Inlet, Florida, in April 2018.

   Date: 26-Jun-2018 (process 3 of 6)

   The samples were analyzed in the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center using the HORIBA LA-960 laser diffraction unit and sieving of the ≥ -2 phi fraction. Samples submitted to the sediment laboratory for grain-size analysis were assigned unique analysis identifiers (ANALYSIS_ID) and divided into batches of no more than 30 samples. Each batch is entered into a Microsoft Excel data entry spreadsheet (LD Worksheet Template_SS01.xlsx, where SS01 is the identifier assigned to the sample submission) to record the initial and dried sample weights, as well as the sieved coarse fraction weights. Each batch was also entered into macro-enabled Microsoft Excel data entry spreadsheets (GrainSizeWorksheet_LD1-30_SS01(batch_1).xlsm or GrainSizeWorksheet_LD31-60_SS01(batch_1).xlsm, where "LD1-30” and “LD31-60” refer to the pre-labeled and weighed glass laser diffraction vials in which the samples will be run, and “batch_1” refers to the sample batch) to record the measurement data coming from the laser diffraction unit and incorporate the initial, dried, and sieved weights. The sample submission identifier for these samples is "SS01".
   About 10-15 grams of wet sediment were placed in a pre-weighed beaker and the gross weight was recorded. The sample was wet sieved through a 4 mm (No. 5) sieve. If there was any coarse fraction remaining in the sieve, the coarse material was oven dried at 100°C in a pre-weighed beaker, and weighed again when dry. This coarse fraction was dry sieved to determine the individual weights of the -2 to -5 phi fractions, and the weights were recorded in the data entry spreadsheet LD Worksheet Template_SS01.xlsx. The fine fraction in water was collected in a pre-labeled and weighed glass laser diffraction vial. If there was any coarse fraction remaining in the sieve from wet sieving, this vial was also oven dried at 100°C and weighed when dry. If there was no coarse fraction remaining from wet sieving, the sample proceeded directly to processing for analyses by the HORIBA LA-960 laser diffraction unit.
   Fine fractions ready for analysis by the HORIBA laser diffraction unit were rehydrated with distilled water if they had been dry. Fifteen (15) ml of pre-mixed 40 g/l sodium hexametaphosphate [(NaPO3)6] was added to each sample. If the height of the fluid in the laser diffraction vial was less than 5 cm, more distilled water was added to raise the level to no more than 8 cm in the vial. The samples were gently stirred, covered, and allowed to soak for at least 1 hour (for samples that were not dried) or up to 24 hours (for samples that were dried). Soaked vials were placed into an ultrasonic bath and run for 10 minutes at a frequency of 37 Hz with a power level of 100. If the samples appeared to be fully disaggregated, they were placed into pre-determined autosampler locations and were run using the HORIBA LA-960 for Windows software to get the fine fraction grain-size distributions. The fine fraction distribution data was added to the appropriate data entry spreadsheets (GrainSizeWorksheet_LD1-30_SS01(batch_1).xlsm or GrainSizeWorksheet_LD31-60_SS01(batch_1).xlsm). The spreadsheet was used to calculate a continuous phi class distribution from the original fractions. Two samples, A-3 and B-5, were run in duplicate. Person who carried out this activity:
   

   Brian Buczkowski

   U.S. Geological Survey

   Lab Manager

   384 Woods Hole Road

   Woods Hole, MA
   

   (508) 548-8700 x2310 (voice)

   bbuczkowski@usgs.gov

   Date: 26-Jun-2018 (process 4 of 6)

   A continuous phi class distribution from the original fractions was transposed to the "results" tab in the macro-enabled Microsoft Excel data entry workbook (GrainSizeWorksheet_LD1-30_SS01(batch_1).xlsm or GrainSizeWorksheet_LD31-60_SS01(batch_1).xlsm, where SS01 is the identifier assigned to the sample submission, “LD1-30” and “LD31-60” refer to the pre-labeled and weighed glass laser diffraction vials in which the samples were run, and “batch_1” refers to the sample batch). Macros in the workbook (“GS_MoM_Arithmatic,” "GS_statistics," and "sedimentname") were run to calculate grain-size classification and statistical analyses and finish processing the data. Sample, navigation, and field identifiers, along with continuous phi class distribution data, grain-size classification, and statistical analysis results were copied and pasted into the final Microsoft Excel spreadsheet (SS01_GS-LD_results.xlsx). The processed data were quality control checked and assigned a quality grade based on the examination of the analytical data. Processed data were released to the submitter and incorporated into the laboratory's database. All raw analytical data generated by the samples were archived in the sediment analysis laboratory.

   Date: 28-Dec-2020 (process 5 of 6)

   The results from the final Microsoft Excel spreadsheet (SS01_GS-LD_results.xlsx) were imported into MATLAB R2020B, the column headings were given unique names, and the significant figures were adjusted appropriately. The final data was then exported to a .csv file. Person who carried out this activity:
   

   Olivia De Meo

   U.S. Geological Survey

   Technical Information Specialist

   384 Woods Hole Road

   Woods Hole, MA
   

   (508) 548-8700 x2356 (voice)

   odemeo@usgs.gov

   Date: 29-Dec-2020 (process 6 of 6)

   The CSV file was imported into ArcMAP 10.8.1 and a shapefile (.shp) and associated files were saved.

3. What similar or related data should the user be aware of?
   Suttles, Steven E., Warner, John C., Montgomery, Ellyn T., and Martini, Marinna A., 2019, Oceanographic and Water Quality measurements in the Nearshore Zone at Matanzas Inlet, Florida, January – April, 2018: U.S. Geological Survey data release.: data release DOI:10.5066/P9GKB537, U.S. Geological Survey, Reston, VA.

   Online Links:

   • https://doi.org/10.5066/P9GKB537

   Martini, Marinna A., Montgomery, Ellyn T., Suttles, Steven E., and Warner, John C., 2021, Summary of oceanographic and water-quality measurements offshore of Matanzas Inlet, Florida, 2018: Open-File Report 2021-1014, U.S. Geological Survey, Reston, VA.

   Online Links:

   • https://doi.org/10.3133/ofr20211014

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

1. How well have the observations been checked?
   Laboratory analyses were conducted at USGS Woods Hole Coastal and Marine Science Center Sediment Laboratory using a HORIBA LA-960 laser diffraction size analyzer with manufacturer guaranteed accuracy of +/- 0.6%. The performance of every HORIBA LA-960 laser diffraction unit is verified with National Institute of Standards and Technology (NIST) traceable mono- and polydisperse size standards. Due to rounding, the sum of the aggregate class percentages (e.g., GRAVEL, SAND, etc.) and the sum of the phi fraction percentages (e.g., PHI_16, PHI_15, etc.) may not always add up to exactly 100.000%.
2. How accurate are the geographic locations?
   Horizontal position was determined using a Garmin GPSMAP 78sc handheld GPS. The expected absolute, horizontal accuracy is stated to be 3 to 5 m at the 95% confidence level using the WAAS setting. Additional sources of error in the position for the water sample locations are caused by the offset from the GPS and the exact location of the Shipek grab sampler at the time the sample was taken, which could be as large as 2 m; therefore, overall expected accuracy of the reported horizontal position for these water sample locations is on the order of 7 m or better.
3. How accurate are the heights or depths?
   Total water column depth values at each sample site were determined using the depth sounder from the R/V Savannah. Expected accuracy of depth measurements is 0.5 m or better.
4. Where are the gaps in the data? What is missing?
   This datasets represents all the samples that were collected.
5. How consistent are the relationships among the observations, including topology?
   Sediment samples were collected using a Shipek grab sampler, and stored in a refrigerated and dark location until analyzed in the laboratory on the HORIBA LA-960 laser diffraction size analyzer as described in the process steps below.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None. Please see "Distribution Information" for details.
Use_Constraints:

Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.

1. Who distributes the data set? (Distributor 1 of 1)
   
   U.S. Geological Survey - ScienceBase

   Denver Federal Center, Building 810, Mail Stop 302

   Denver, CO
   

   United States

   1-888-275-8747 (voice)

   sciencebase@usgs.gov
2. What's the catalog number I need to order this data set? This dataset contains grain-size analysis of sediment samples collected offshore from Matanzas Inlet, FL in 2018 (Matanzas_GrainSize_Results.csv and Matanzas_GrainSize_Results.shp).
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 Separated Values (CSV) file exported from MATLAB R2020b. in format CSV Size: 0.008
     Network links:	https://www.sciencebase.gov/catalog/file/get/5ff8d338d34ea5387df04519 https://www.sciencebase.gov/catalog/item/5ff8d338d34ea5387df04519 https://doi.org/10.5066/P9FKARIZ

     Data format:	Esri shapefile (.shp) and associated files created by importing the grain-size data into ArcGIS. The attribute headers include up to the first 10 characters from the csv file header labels. in format SHP Size: 0.07
     Network links:	https://www.sciencebase.gov/catalog/file/get/5ff8d338d34ea5387df04519 https://www.sciencebase.gov/catalog/item/5ff8d338d34ea5387df04519 https://doi.org/10.5066/P9FKARIZ

   • Cost to order the data: None

Who wrote the metadata?

Dates:

Last modified: 11-May-2021

Metadata author:

Olivia A. De Meo

U.S. Geological Survey

Technical Information Specialist

384 Woods Hole Road

Woods Hole, MA

US

508-548-8700 x2356 (voice)

508-457-2310 (FAX)

odemeo@usgs.gov

Metadata standard:

FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)