Kyle W. Kelso
Thomas M. Tuten
2017
Sediment data from vibracores collected in January 2015 from around Breton Island, Louisiana (U.S. Geological Survey Field Activity Number 2014–336–FA)
Multimedia presentation
https://doi.org/10.5066/F79C6VKF
Julie C. Bernier
Kyle W. Kelso
Thomas M. Tuten
Chelsea A. Stalk
James G. Flocks
2017
Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana
Multimedia presentation
U.S. Geological Survey Data Series
DS 1037
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.3133/ds1037
Breton Island, located at the southern end of the Chandeleur Islands, supports one of Louisiana’s largest historical brown pelican (Pelecanus occidentalis) nesting colonies. Although the brown pelican was delisted as an endangered species in 2009, nesting areas are threatened by continued land loss and are extremely vulnerable to storm impacts. The U.S. Fish and Wildlife Service proposed to restore Breton Island to pre-Hurricane Katrina conditions through rebuilding the shoreface, dune, and back-barrier marsh environments. Prior to restoration, scientists from the U.S. Geological Survey’s (USGS) St. Petersburg Coastal and Marine Science Center Geologic and Morphologic Evolution of Coastal Margins project collected high-resolution geophysical (topography, bathymetry, and sub-bottom profiles) and sedimentologic data from around Breton Island to characterize the geologic framework of the island platform, nearshore, and shelf environments. These data will be used to characterize the geologic framework around Breton Island, identify potential borrow areas for restoration efforts, quantify seafloor change, and provide information for sediment transport and morphologic change models to asses island response to restoration and natural processes.
Data release doi:10.5066/F79C6VKF associated with this metadata record serves as an archive of sediment data from vibracores, push cores, and submerged grab samples collected from around Breton and Gosier Islands, Louisiana, during two surveys conducted in July 2014 and January 2015 (USGS Field Activity Numbers 2014–314–FA and 2014–336–FA, respectively). Sedimentologic and stratigraphic metrics (for example, sediment texture or unit thicknesses) derived from these data can be used to ground-truth the geophysical data and characterize potential sand resources or can be incorporated into sediment transport or morphologic change models. Data collection and processing methods are described in Data Series 1037 (https://doi.org/10.3133/ds1037). Data products, including sample location tables, descriptive core logs, core photographs and x-radiographs, results of sediment grain-size analyses, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from https://doi.org/10.5066/F79C6VKF.
Dissemination of processed sediment data from vibracores collected from around Breton Island, Louisiana, in January 2015 (USGS FAN 2014–336–FA).
From January 11-17, 2015, USGS scientists collected 56 vibracores were collected from back-barrier, nearshore, and offshore areas around Breton Island. Offshore vibracore locations were selected to ground-truth interpretations from previously collected seismic data (Forde and others, 2016).
20150111
20150117
Ground condition
None planned
-89.27168
-89.06403
29.51807
29.38463
USGS Metadata Identifier
USGS:85d0c0a6-1447-46aa-ac4e-3963b37a2dd3
ISO 19115 Topic Category
geoscientificInformation
location
oceans
USGS Thesaurus
geology
geomorphology
unconsolidated deposits
None
sediment
vibracore
grain size
GRADISTAT
mean
sorting
skewness
kurtosis
Folk and Ward
U.S. Geological Survey
USGS
Geographic Names Information System (GNIS)
Louisiana
Breton Island
Gulf of Mexico
Breton Sound
None
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.
U.S. Geological Survey
Kyle W. Kelso
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
kkelso@usgs.gov
U.S. Geological Survey, Coastal and Marine Geology Program, St. Petersburg Coastal and Marine Science Center
Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601XXXXX) Service Pack 1; Microsoft Excel Version 2010
Bernier, J.C.
Kelso, K.W.
Tuten, T.M.
Stalk, C.A.
Flocks, J.G.
2017
Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana
U.S. Geological Survey Data Series
1037
https://doi.org/10.3133/ds1037
Forde, A.S.
Flocks, J.G.
Fredericks, J.J
Wiese, D.S.
2016
Archive of digital chirp subbottom profile data collected during USGS cruise 14BIM05 offshore of Breton Island, Louisiana, August 2014
U.S. Geological Survey Data Series
972
https://doi.org/10.3133/ds972
DeWitt, N.T.
Fredericks, J.J
Flocks, J.G.
Miselis, J.L.
Locker, S.D.
Kindinger, J.G
Bernier, J.C.
Kelso, K.W.
Reynolds, B.J.
Wiese, D.S.
Browning, T.N.
2016
Archive of bathymetry and backscatter data collected in 2014 nearshore Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana
U.S. Geological Survey Data Series
1005
https://doi.org/10.3133/ds1005
Blott, S.J. and Pye, K.
2001
Gradistat: A grain size distribution and statistics package for the analysis of unconsolidated sediments
Version 8.0
Earth Surface Processes and Landforms
Volume 26
Pages 1237-1248
http://www.kpal.co.uk/gradistat.html
The positional accuracy of the core locations (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_coresites.zip) is determined by the accuracy of the Global Positioning System (GPS) receiver used to locate the samples at the time of collection.
The grain-size data presented in the summary statistics spreadsheets (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_SumStats.zip) represent the sample averages for a subset of the statistical parameters calculated by GRADISTAT. The number of runs included in the averaged results are also reported, and the standard deviation of the averaged results are reported for most parameters. Sample depths were measured to the nearest half-centimeter using a metric tape measure.
The geographic position and water depth of each core site was recorded at the time of collection with a Furuno depth sounder located amidship of the 110-foot M/V Thunderforce. The draft of the vessel was added to the reading to get the actual current water depth at the time of coring. The actual core site was offset from the back of the boat by up to 18 feet. Core elevations are the cell values extracted from a 100-meter cell size bathymetric grid derived from USGS bathymetric data (DeWitt and others, 2016).
The complete grain-size dataset including all GRADISTAT parameters, results of individual sample runs, and standard deviations for all sample averages are included in the unedited output files (https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_RunStats.zip). Sample runs in the output files for which the mean Folk and Ward grain size varied from the set average by more than 1.5 standard deviations are highlighted in yellow and were not included in final averaged results.
Data release doi:10.5066/F79C6VKF associated with this metadata record includes the geographic locations, core descriptions, core photos, and grain-size data for 1,672 samples from 56 vibracores collected from around Breton Island, Louisiana, in January 2015 (USGS FAN 2014–336–FA).
Sample locations were recorded at the time of collection using a Furuno depth sounder located amidship of the 110-foot M/V Thunderforce. The actual core site was offset from the back of the boat by up to 18 feet.
The surface elevations of the vibracore sites are the cell values extracted from a 100-meter cell size bathymetric grid created from USGS bathymetric data (DeWitt and others, 2016).
USGS scientists collected 56 vibracores from around Breton Island in January 2015 (U.S. Geological Survey Field Activity Number 2014–336–FA). Cores were collected from the M/V Thunderforce, a 110-foot steel multiuse vessel operated by American Vibracore Services (AVS). This vessel uses an A-frame to lift the vibracore base onto the seafloor. An Alpine pneumatic vibracore head attached to a 5.08-cm (4-inch) diameter steel barrel with 9.21-cm (3.625-inch) diameter polycarbonate core liners was used to collect most of the samples. For the nine cores designated for optically stimulated luminescence (OSL) dating, a 7.62-cm (3-inch) diameter aluminum core barrel was used to shield the recovered sediments from light. A penetrometer with proprietary software developed by AVS was incorporated for real-time monitoring and recording of subsurface penetration. After extraction, each core was capped, sealed, and labeled with core number and orientation. The cores were transported to the USGS SPCMSC sediment lab for processing and analysis.
2015
U.S. Geological Survey
Kyle W. Kelso
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
kkelso@usgs.gov
Core locations were recorded at the time of collection using a Furuno depth sounder located amidship of the M/V Thunderforce.
2015
U.S. Geological Survey
Kyle W. Kelso
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
kkelso@usgs.gov
Surface elevations of the core sites were extracted from a 100-meter by 100-meter gridded surface of USGS bathymetric data collected in July 2014 (DeWitt and others, 2016) using the Spatial Analyst Extract Values to Points tool in Esri ArcGIS version 10.2.
2016
2014-336-FA_coresites.zip
U.S. Geological Survey
Julie C. Bernier
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
jbernier@usgs.gov
At the SPCMSC sediment laboratory, the cores were split lengthwise, photographed with a Canon Powershot SX20 IS digital camera, described macroscopically using standard sediment-logging methods, and subsampled for grain-size analysis. Grain-size samples consisted of 2-cm sections sampled at varying intervals down-core depending on the number and thickness of the observed sedimentologic units. Textural descriptions for the core logs are based on macroscopic observations; the quantitative grain-size data are represented by down-core plots on the core logs. Sediment color is based on the Munsell soil color system.
2015
2014-336-FA_CorePhotos.zip
2014-336-FA_CoreLogs.pdf
U.S. Geological Survey
Kyle W. Kelso
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
kkelso@usgs.gov
Grain-size analyses were performed using Coulter LS 200 and Coulter LS 13 320 particle-size analyzers, which use laser diffraction to measure the size distribution of sediments ranging in size from 0.4 microns (µm) to 2 millimeters (mm) (clay to very coarse-grained sand). A total of 1,672 samples from 56 vibracores were analyzed. Core samples consisted of approximately 2-cm sections of the core.
In order to prevent shell fragments from damaging the Coulter analyzers, particles greater than 1 mm in diameter were separated from all samples prior to analysis using a number 18 (1000 µm, 1 mm) U.S. standard sieve, which meets the American Society for Testing and Materials (ASTM) E11 standard specifications for determining particle size using woven-wire test sieves. Prior to sieving, samples were homogenized in the sample bag and wet-sieved to remove any large particles. Two subsamples from each sample were processed through the LS 200 or the LS 13 320 particle-size analyzers a minimum of three runs each. These instruments measure the particle-size distribution of each sample by passing sediment suspended in solution between two narrow panes of glass in front of a laser. Light is scattered by the particles into characteristic refraction patterns measured by an array of photodetectors as intensity per unit area and recorded as relative volume for 92 size-related channels (bins). The size-classification boundaries for each bin were specified on the basis of the ASTM E11 standard.
2015
U.S. Geological Survey
Thomas M. Tuten
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
ttuten@usgs.gov
The raw grain-size data were run through the free, widely available program GRADISTAT (Blott and Pye, 2001), which calculates the geometric (in metric units) and logarithmic (in phi units, Φ; Krumbein, 1934) mean, sorting, skewness, and kurtosis of each sample using the Folk and Ward (1957) method as well as the cumulative particle-size distribution. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand) based on a modified Wentworth (1922) size scale. A macro developed by the USGS was applied to calculate the average and standard deviation of each sample (six runs per sample) and highlight runs that varied from the set average by more than plus or minus (±) 1.5 standard deviations. Excessive deviations from the mean are likely the result of equipment error or extraneous material in the sample and are not considered representative of the sample. Those runs were removed from the results and the sample average was recalculated using the remaining runs. The individual run statistics are available from https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_RunStats.zip. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and class-size distributions, are summarized in a series of Excel workbooks with each core on its own tab and are available from https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_SumStats.zip.
2015
2014-336-FA_GrainSize_SumStats.zip
2014-336-FA_GrainSize_RunStats.zip
U.S. Geological Survey
Thomas M. Tuten
Geologist
Mailing and Physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
ttuten@usgs.gov
Using Exchangeable image file format (Exif) data, the GPS date, time and coordinates recorded during sediment core collection were embedded in the whole-core (CoreID.jpg) and stitched (CoreID_sc_adj.jpg) image metadata. The Exif headers were initially populated by the camera’s imaging software but were subsequently updated by USGS staff to include core-related supplemental information. A Python version 2.7.3 script (UpdatePhotoEXIFv2.py) was run to incorporate location information and auxiliary details into the appropriate locations within the Exif header of each full-resolution JPEG image. The Python script used ExifTool version 10.25 to write the information to the image headers.
The following tags were populated in the JPEG image headers. Information is duplicated in some tags. This was done because different software packages access different tags.
GPS tags: The values populated are unique for each image and based on the information exported from the handheld GPS.
>GPSLatitudeRef
>GPSLatitude
>GPSLongitudeRef
>GPSLongitude
>GPSTimeStamp
>GSPDateStamp
>
JPEG tags: The tag is listed along with the information used to populate it - which is the same for every image taken with a particular camera. The following information is based on the Canon PowerShot SX20 IS camera.
>
comment: Photo of core collected in January 2015 from Breton and Gosier Islands, Louisiana during field activity number 2014–336–FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-336-FA). Published as USGS data release DOI:10.5066/F79C6VKF.
>
EXIF tags: The tag is listed along with the information used to populate it - which is the same for every image.
>
ImageDescription: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA.
>Artist: U.S. Geological Survey
>Copyright: Public Domain - please credit U.S. Geological Survey
>
IPTC tags: The tag is listed along with the information used to populate it - which is the same for every image.
>Credit: U.S. Geological Survey
>Contact: gs-g-spcmsc_data_inquiries@usgs.gov
>Keywords: Breton National Wildlife Refuge, Louisiana, Breton Island, Gosier Island, 2014-336-FA, push-core, grab sample, vibracore, USGS
>CopyrightNotice: Public Domain - please credit U.S. Geological Survey
>Caption-Abstract: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA.
>
XMP tags: The tag is listed along with the information used to populate it - which is the same for every image.
>Caption: Photograph of sediment core collected from Breton National Wildlife Refuge, LA during 2014–336–FA.
>
To extract the information from the image headers using ExifTool, the following command can be used (tested with ExifTool version 10.25):
>
exiftool.exe -csv -f -filename -GPSTimeStamp -GPSLongitude -GPSLatitude -n -Artist -Credit -comment -keywords -Caption -Copyright -CopyrightNotice -Caption-Abstract -ImageDescription photos/*.jpg > out.csv
>
The -csv flag writes the information out in a comma-delimited format. The -n option formats the latitude and longitude as signed decimal degrees.
20170119
Arnell Forde
U.S. Geological Survey, St. Petersburg Coastal and Marine Geology Science Center
Geologist
mailing and physical
600 4th Street South
Saint Petersburg
Florida
33701
U.S.A.
727-502-8000
aforde@usgs.gov
Added keywords section with USGS persistent identifier as theme keyword.
20201013
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Vector
Point
56
Universal Transverse Mercator
16
0.9996
87.0
0.0
500000.0
0.0
coordinate pair
0.00001
0.00001
Meters
D WGS 1984
WGS 1984
6378137.0
298.257223563
North American Vertical Datum of 1988
0.001
Meters
Attribute values
2014-336-FA_coreites_FINAL.xlsx
Microsoft Excel workbook defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA).
USGS
2014-336-FA_coreites_FINAL.csv
Comma-separated values text file defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA).
USGS
2014-336-FA_coresites_FINAL.shp
Esri shapefile defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014-336-FA).
USGS
2014-336-FA_coresites_FINAL.kml
Keyhole Markup Language (KML) file defining the site locations and selected core metrics for vibracores collected in January 2015 from around Breton Island, Louisiana (USGS FAN 2014–336–FA).
USGS
2014-336-FA_SumStats_1-26.xlsx
Summary grain-size data for vibracores 1-26 collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a Microsoft Excel workbook. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided for each core on its own tab.
USGS
2014-336-FA_SumStats_27-52.xlsx
Summary grain-size data for vibracores 27-52 collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a Microsoft Excel workbook. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided for each core on its own tab.
USGS
2014-336-FA_SumStats.csv
Summary grain-size data for vibracores collected from around Breton Island in January 2015 (USGS FAN 2014–336–FA) provided as a comma-separated values text file. The averaged results for all samples, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided.
USGS
FID
Internal feature number
Esri
Sequential unique whole numbers that are automatically generated
Shape
Feature geometry
Esri
Geometry type defining the features
CORE_ID
Site identification number
USGS
Character string
WGS84_Lat
Latitude of site location, in decimal degrees (WGS84)
USGS
29.38463
29.51807
Decimal degrees
0.00001
NAD83_Lon
Longitude of site location, in decimal degrees (WGS84)
USGS
-89.27168
-89.06403
Decimal degrees
0.00001
NAD83_X
X-coordinate (easting) of site location, in meters (WGS84, UTM zone 16 N)
USGS
279605.057
299824.362
Meters
0.001
NAD83_Y
Y-coordinate (northing) of site location, in meters (WGS84, UTM zone 16 N)
USGS
3252493.000
3267355.324
Meters
0.001
DEPTH_m
Water depth recorded at time of collection, in meters
USGS
3.65854
10.36585
Meters
0.001
NAVD88_G12A_m
Elevation (orthometric height) of site location, in meters (GEOID 12A)
USGS
-10.00
-3.54
Meters
0.001
TYPE
Sample type
USGS
vibracore
Vibracore
USGS
vibracore - OSL
Vibracore, collected and processed to preserve for optically stimulated luminescence (OSL) dating
USGS
LENGTH_m
Core length, in meters
USGS
1.94
5.92
Cenitmeters
0.01
The detailed attribute descriptions for the statistics summary workbooks are provided in the included data dictionary (Grain_Size_Data-Dictionary.pdf). These metadata are not complete without this file.
Data dictionary for grain-size data tables, in: Bernier, J.C., Kelso, K.K., Tuten, T.M., Stalk, C.A., and Flocks, J.G., 2017, Sediment Data Collected in 2014 and 2015 from around Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Data Release, https://doi.org/10.5066/F79C6VKF.
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Kyle W. Kelso
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
kkelso@usgs.gov
Downloadable data
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.
Compressed (zip) archive
2017
Multimedia presentation
This zip archive includes Microsoft Excel spreadsheets, comma-separated values text files, Esri shapefiles, Keyhole Markup Language (KML) files, and accompanying metadata for sediment data from vibracores collected from around Breton and Island in January 2015 (USGS FAN 2014–336–FA).
Unzip
https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_coresites.zip
https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_CorePhotos.zip
https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_CoreLogs.pdf
https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_SumStats.zip
https://coastal.er.usgs.gov/data-release/doi-F79C6VKF/data/2014-336-FA_GrainSize_RunStats.zip
None, if obtained online
The sample locations table was created in Microsoft Excel 2010 and can be opened using Microsoft Excel 2007 or higher; these data may also be viewed using the free Microsoft Excel Viewer (http://office.microsoft.com/). The sample locations are also provided as comma-separated values text files (.csv) and GIS data files in Esri shapefile (.shp) and Keyhole Markup Language (KML) format; the GIS files can be opened using the free ArcGIS Explorer or Google Earth GIS viewers.
The core photographs and are provided as high-resolution Joint Photographic Experts Group (JPEG) images and can be viewed using standard image viewing software.
20201013
U.S. Geological Survey
Julie C. Bernier
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8000
jbernier@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
None
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution.
None
Unclassified
None