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

Frequently anticipated questions:

• What does this data set describe?
  1. How might this data set be cited?
  2. What geographic area does the data set cover?
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
  5. What is the general form of this data set?
  6. How does the data set represent geographic features?
  7. How does the data set describe geographic features?
• Who produced the data set?
  1. Who are the originators of the data set?
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
• Why was the data set created?
• How was the data set created?
  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
  3. What similar or related data should the user be aware of?
• How reliable are the data; what problems remain in the data set?
  1. How well have the observations been checked?
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
  5. How consistent are the relationships among the data, including topology?
• How can someone get a copy of the data set?
  1. Are there legal restrictions on access or use of the data?
  2. Who distributes the data?
  3. What's the catalog number I need to order this data set?
  4. What legal disclaimers am I supposed to read?
  5. How can I download or order the data?
• Who wrote the metadata?

What does this data set describe?

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:

   • https://doi.org/10.5066/F71G0KKD

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:

   • https://pubs.usgs.gov/of/2013/1083/

   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:

   • http://www.kpal.co.uk/gradistat.html

   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?
   • Availability in digital form:

     Data format:	This zip archive includes Microsoft Excel spreadsheets, comma-separated values text files, Esri shapefiles, Keyhole Markup Language (KML), sample-location maps, and accompanying metadata for sediment data for samples collected from coastal Louisiana in 2015, 2016, and 2017 (USGS FAN 2015-301-CNT). in format Compressed (zip) archive Multimedia presentation
     Network links:	https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_SampleSites.zip https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_SumStats.zip https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_Maps.zip https://coastal.er.usgs.gov/data-release/doi-F71G0KKD/data/2015-301-CNT_RunStats.zip

   • Cost to order the data: None. No fees are applicable for obtaining the dataset.

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)