Noreen A. Buster
U.S. Geological Survey
20140325
Cat Island marine core grain-size data from field activity 10BIM06
tabular digital data
U.S. Geological Survey Data Series
834
https://doi.org/10.3133/ds834
Noreen A. Buster
Kyle W. Kelso
Jennifer L. Miselis
Jack L. Kindinger
20140325
Sediment Data Collected in 2010 from Cat Island, Mississippi
1.0
multimedia presentation
U.S. Geological Survey Data Series
834
St. Petersburg, Florida
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
https://doi.org/10.3133/ds834
Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center (SPCMSC), in collaboration with the U.S. Army Corps of Engineers (USACE), conducted geophysical and sedimentological surveys around Cat Island, the westernmost island in the Mississippi-Alabama barrier island chain. The objectives of the study were to understand the geologic evolution of Cat Island relative to other barrier islands in the northern Gulf of Mexico and to identify relationships between the geologic history, present day morphology, and sediment distribution. This report serves as an archive of 11 terrestrial and 29 marine sediment vibracores collected August 4-6 and October 20-22, 2010. Geographic Information System (GIS) data products include marine and terrestrial core locations and 2007 shoreline. Additional files included: marine and terrestrial core description logs, core photos, grain-size analysis, optically stimulated luminescence (OSL) dating and Carbon-14 dating locations and results, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FDGC) metadata (please refer to the data products and downloads page at http://pubs.usgs.gov/ds/xxx/Data_Products_and_Downloads_Cat_cores.html).
The 10BIM06_Grainsize_Summary_Statistics.xlsx file includes all sediment grain-size analysis results from marine vibracores collected around Cat Island, Mississippi in October 2010 by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center. Multiple data types were collected throughout the duration of this project; however, only the results of the sediment component are presented in this archive data series.
Samples for grain-size analysis were collected from the top, middle, and bottom of each lithologic unit in approximately 2-3 cm intervals. Grain-size analyses on the core sediment samples 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 (µm) to 2 millimeter (mm) (clay to very coarse-grained sand). A total of 367 core samples were analyzed. 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 µm) 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. The raw grain-size data were then run through the free, widely available program GRADISTAT (Blott and Pye, 2001; http://www.kpal.co.uk/gradistat.html), which calculates the geometric (in metric units) and logarithmic (in phi units, F; Krumbein, 1934) mean, mode, sorting, and skewness of each sample using the Folk and Ward (1957) method. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand, etc.) 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 set (6 runs per sample), and highlight runs that varied from the set average by more than ±1.5 standard deviations. Those runs were removed from the results and the sample average was recalculated using the other five runs. The individual core and sample GRADISTAT files associated with this project(10BIM06_GrainSize_Gradistat.zip)are available for download at https://doi.org/10.3133/ds834/data/tables/10BIM06_GrainSize_Gradistat.zip. Results from this output table were summarized in file 10BIM06_GrainSize_Summary_Statistics.xlsx which is available for download at https://doi.org/10.3133/ds834/data/tables/10BIM06_GrainSize_Summary_Statistics.zip. This metadata is pertinent to the summary statistics file.
20101020
20101022
ground condition
None planned
-89.197071
-89.053196
30.258884
30.177428
USGS Metadata Identifier
USGS:0974e677-a84b-4757-86db-4bf093fef3e9
None
Vibracore
marine
sediment
core
grain size
graditstat
core descriptions
U.S. Geological Survey
USGS
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Geographic Names Information System (GNIS)
Mississippi
Gulf of Mexico
Cat Island
none
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
US
(727) 502-8000
nbuster@usgs.gov
U.S. Geological Survey and the Army Corps of Engineers (outside funding source). For grain-size analysis special thanks go to Carl Taylor (no longer with the USGS) for running all the grain-size samples.
Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; Microsoft Excel Version 2010
The U.S. Geological Survey requests that it be referenced as the originator of this dataset in any future products or research derived from these data.
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, v. 26, p. 1237-1248.
http://www.kpal.co.uk/gradistat.html
Sediment grain-size results shown in Excel spreadsheet include the standard deviations for all samples.
Both the grain-size summary statistics spreadsheet (10BIM06_GrainSize_Summary_Statistics.xlsx) along with the Gradistat output file (10BIM06_GrainSize_Gradistat.zip) constitute the grain-size data needed for interpretations. The Gradistat data files in the .zip file have not been altered except to delete unnecessary spreadsheets. In addition, the columns that represented data outside 1.5 standard deviations were highlighted in yellow. The Summary Statistics file includes all data from the Gradistat file where averages of data were recalculated without the data from the highlighted columns.
This is a complete processed marine vibracore grain-size analysis result file for the 2010 Cat Island project.
In the core-analysis laboratory at the USGS SPCMSC, each marine vibracore was cut into 1-m sections and split lengthwise. One-half of each core was described using standard sediment-logging methods, photographed, and wrapped in plastic sleeves for archive storage. The other core half was sampled at the top, middle, and bottom of each described sediment unit for grain-size analysis.
2011
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
U.S.
(727) 502-8000
nbuster@usgs.gov
Samples for grain-size analysis were collected from the top, middle, and bottom of each lithologic unit in approximately 2-3 cm intervals from the sample half of each core. Grain-size analyses on the core sediment samples 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 (µm) to 2 millimeter (mm) (clay to very coarse-grained sand). A total of 367 core samples were analyzed Data Products and Downloads page) and 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 µm) 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.
2011
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
U.S.
(727) 502-8000
nbuster@usgs.gov
The raw grain-size data were then run through the free, widely available program GRADISTAT (Blott and Pye, 2001; http://www.kpal.co.uk/gradistat.html), which calculates the geometric (in metric units) and logarithmic (in phi units¦; Krumbein, 1934) mean, mode, sorting, and skewness of each sample using the Folk and Ward (1957) method. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand, etc.) based on a modified Wentworth (1922) size scale. A macro developed by the USGS (Flocks, unpublished) was applied to calculate the average and standard deviation of each sample set (6 runs per sample), and highlight runs that varied from the set average by more than ±1.5 standard deviations. Those runs were removed from the results and the sample average was recalculated using the other five runs. All sample averages were copied to a separate worksheet and all values with associated standard deviations, were transposed for easier presentation. All samples from each core were then combined in one spreadsheet "10BIM06_GrainSize_Summary_Statistics.xlsx". This spreadsheet includes grain-size data results for all cores.
2011
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
U.S.
(727) 502-8000
nbuster@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
Locations were collected on the RV Gilbert using a Garmin model 3210 GPS unit.
15
meters
WGS 1984 UTM Zone 16N
0.9996
-87.0
0.0
500000.0
0.0
coordinate pair
0.000000002220024164500956
0.000000002220024164500956
Meter
D WGS 1984
WGS 1984
6378137.0
298.257223563
All entity and attributes for this file were combined in one document (Cat_Island_grainsize_data_dictionary.pdf). Metadata is not complete without the data dictionary file.
Data Dictionary for Grain-Size Data Tables. In: Buster and others, 2013. Sediment Data Collected in 2010 from Cat Island, Mississippi: U.S. Geological Survey Data Series XXX. https://doi.org/10.3133/ds834/data/metadata/10BIM06_GrainSize_Summary_Statistics.zip
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
U.S.
(727) 502-8000
nbuster@usgs.gov
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, 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.
none
Microsoft Excel Worksheet 2010
1
xyz
16 KB
http://pubs.usgs.gov/ds/0834/data/tables/Grainsize_SummaryStatistics.zip
Downloadable data
none
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.
20210922
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Noreen A. Buster
Geologist
Mailing and physical
600 4th Street South
St. Petersburg
FL
33701
U.S.
(727) 502-8000
nbuster@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
none
None
Unclassified
None
The U.S. Geological Survey requests that it be referenced as the originator of this dataset in any future products or research derived from these data.