C. Scott Adams
Marci E. Marot
20170315
Sediment Grain-Size Data from Sediment Cores Collected in March 2012 Along the Northern Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Numbers 12BIM01)
Tabular digital data
Marci E. Marot
Christopher G. Smith
C. Scott Adams
Kathryn A. Richwine
20170315
Sediment Lithology and Radiochemistry from the Back-Barrier Environments Along the Chandeleur Islands, Louisiana: March 2012
Multimedia presentation
U.S. Geological Survey Data Series
1045
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.3133/ds1045
Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center collected a set of sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana, in March 2012. The sampling efforts were part of a larger USGS study to evaluate effects on the geomorphology of the Chandeleur Islands following the construction of an artificial sand berm to reduce oil transport onto federally managed lands. The objective of this study was to evaluate the response of the back-barrier tidal and wetland environments to the berm. This report serves as an archive for sedimentological and radiochemical data derived from the sediment cores. The data described in this report is available for download.
The Grain_Size_Data.xlsx Excel spreadsheets include summarized particle-size analysis results from back-barrier wetland sediment cores collected on the Chandeleur Islands, Louisiana in March 2012 by the USGS, St. Petersburg Coastal and Marine Science Center.
20120324
20120326
ground condition
None planned
-88.835832
-88.825012
29.969498
29.895495
USGS Metadata Identifier
USGS:9dc936a8-602a-4dfa-9dcb-47cad94c0be8
ISO 19115 Topic Category
geoscientificInformation
biota
oceans
USGS Thesaurus
geology
geochemistry
unconsolidated deposits
None
sediment
estuaries
wetland
push-core
grain-size
GRADISTAT
back-barrier
Barrier Island Evolution Research project
12BIM01
U.S. Geological Survey
USGS
Geographic Names Information System (GNIS)
Louisiana
Gulf of Mexico
Chandeleur Islands
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
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
U.S. Geological Survey, Coastal and Marine Geology Program, St. Petersburg Coastal and Marine Science Center
Microsoft Windows 7 Enterprise Service Pack 1; Microsoft Excel Version 2010
Marot, M.E.
Adams, C.S.
Richwine, K.A.
Smith, C.G.
Osterman, L.E.
Bernier, J.C.
2014
Temporal changes in lithology and radiochemistry from the back-barrier environments along the Chandeleur Islands, Louisiana: March 2012-July 2013
U.S. Geological Survey Open-File Report
2014-1079
https://doi.org/10.3133/ofr20141079
Bernier, J.C.
Kelso, K.W.
Buster, N.A.
Flocks, J.G.
Miselis, J.L.
DeWitt, N.T.
2014
Sediment data collected in 2012 from the northern Chandeleur Islands, Louisiana
U.S. Geological Survey Data Series
850
https://doi.org/10.3133/ds850
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 grain-size data presented in the run statistics spreadsheets 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.
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. 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.
This is a complete grain-size dataset that includes results for 164 sediment samples from 8 push-core sites that were collected from the northern Chandeleur Islands in March 2012 (U.S. Geological Survey Field Activity Numbers 12BIM01). During the March 2012 survey, an additional 31 short (< 60 cm), 1-inch-diameter push cores were collected along 10 transects across the berm and natural island; 29 grab samples were collected from the sediment surface along the axis of the berm and adjacent natural island; and 10 grab samples were collected in shallow water north and west of the berm. These samples were collected as part of a complementary USGS CMGP BIER study investigating sediment movement between the berm and the natural island since berm construction. Analyses of those data are described in Bernier and others (2014).
At each of the seven sample sites, a 10.2-centimeter (cm)-diameter push core was collected. Eight sediment push cores were collected from the northern Chandeleur Islands in March 2012 (USGS Field Activity Numbers 12BIM01); core lengths varied between 45.5 and 70 cm. Accurate position and elevation data were obtained at all sampling locations with an Ashtech Differential Global Positioning System (DGPS) receiver and antenna with occupation times of 30 minutes. The accuracy of both horizontal position and elevation were improved by post-processing the DGPS data using a local benchmark, which was occupied throughout the course of each field activity by a similar DGPS system. Samples were transported to the USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) for analysis.
2012
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
Prior to particle-size analysis, organic material was chemically removed for the marsh core samples using 30 percent hydrogen peroxide (H2O2). Wet sediment from the marsh samples were dissolved in H2O2 overnight. The H2O2 was then evaporated and the sediment washed and centrifuged twice with deionized water.
2012
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
Grain-size analyses were performed using a Coulter LS 200 (https://www.beckmancoulter.com/) particle-size analyzer, which uses laser diffraction to measure the size distribution of sediments ranging in size from 0.4 microns to 2 millimeters (mm) (clay to very coarse grained sand). In order to prevent shell fragments from damaging the LS 200, particles greater than 1 mm in diameter were separated from all samples prior to analysis using a number 18 (1000 microns or 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 from each sample were processed through the LS 200 a minimum of three runs each. The LS 200 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). The size-classification boundaries for each bin were specified based on the ASTM E11 standard.
2012
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
The raw grain-size data were then run through the free software program GRADISTAT (Blott and Pye, 2001; http://www.kpal.co.uk/gradistat), which calculates the mean, sorting, skewness, and kurtosis of each sample geometrically in metric units and logarithmically in phi units (F) using the method. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand) based on a modified size scale. A macro function in Microsoft Excel, developed by the USGS SPCMSC, was applied to the data tocalculate average and standard deviation for each sample set (6 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.
2013
Grain_Size_Run_Statistics.zip
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and Physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
The averaged results for all samples, including the number of runs included and the standard deviation of the averaged results were summarized in an of Excel workbook with results from each core on its own tab.
2013
Grain_Size_Data.xlsx
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 802-5000
mmarot@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
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: Marot and others, Sediment Lithology and Radiochemistry from the Back-barrier Environments Along the Chandeleur Islands, Louisiana: March 2012: U.S. Geological Survey Data Series 1045, https://doi.org/10.3133/ds1045.
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@usgs.gov
Downloadable data
Although these data have been processed successfully on a computer system at 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 imply any such warranty. The USGS or U.S. Government shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Microsoft Excel
2010
This Microsoft Excel workbooks contains the grain-size summary statistics for sediment samples collected in March 2012 (USGS Field Activity Numbers 12BIM01) and associated metadata.
None
0.122
https://pubs.usgs.gov/ds/1045/downloads/Grain_Size_Data.xlsx
None, if obtained online
This spreadsheet was created for use with Microsoft Excel 2010. It may also be viewed with the Microsoft Excel viewer or by downloading a Microsoft Compatibility Pack to view with older versions of Microsoft Excel.
20201013
U.S. Geological Survey
Marci E. Marot
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mmarot@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