Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi: grain size analysis

Metadata also available as - [Questions & Answers] - [Parseable text] - [XML]

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Kathryn E.L. Smith
Originator: Joseph F. Terrano
Originator: Isabelle D. Atchia
Originator: Joseph M. Vargas
Originator: Cheyenne S. Everhart
Publication_Date: 20230605
Title:
Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi: grain size analysis
Edition: 1.0
Geospatial_Data_Presentation_Form: tabular digital data
Larger_Work_Citation:
Citation_Information:
Originator: Kathryn E.L. Smith
Originator: Joseph F. Terrano
Originator: Jonathan Pitchford
Originator: Michael Brochard
Originator: Joseph M. Vargas
Originator: Isabelle D. Atchia
Originator: Cheyenne S. Everhart
Originator: Christopher G. Smith
Publication_Date: 20200713
Title:
Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From July 2018 to January 2020
Edition: 2.0
Geospatial_Data_Presentation_Form: multimedia presentation
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P9ONI8PS
Publication_Information:
Publication_Place: St. Petersburg, FL
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9ONI8PS
Description:
Abstract:
To better understand sediment deposition in marsh environments, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) selected four study sites (Sites 5, 6, 7, and 8) along the Point Aux Chenes Bay shoreline of the Grand Bay National Estuarine Research Reserve (GNDNERR), Mississippi. These datasets were collected to serve as baseline data prior to the installation of a living shoreline (a subtidal sill). Each site consisted of five plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5, 10, 15, 20, and 25 m from the shoreline). Each plot contained six net sedimentation tiles (NST) that were secured flush to the marsh surface using polyvinyl chloride (PVC) pipe. NST are an inexpensive and simple tool to assess short- and long-term deposition that can be deployed in highly dynamic environments without the compaction associated with traditional coring methods. The NST were deployed for three month sampling periods, measuring sediment deposition from July 2018 to January 2020, with one set of NST being deployed for six months. Sediment deposited on the NST were processed to determine physical characteristics, such as deposition thickness, volume, wet weight/dry weight, grain size, and organic content (loss-on-ignition [LOI]). For select sampling periods, ancillary data (water level, elevation, and wave data) are also provided in this data release. Data were collected during USGS Field Activities Numbers (FAN) 2018-332-FA (18CCT01), 2018-358-FA (18CCT10), 2019-303-FA (19CCT01, 19CCT02, 19CCT03, and 19CCT04, respectively), and 2020-301-FA (20CCT01). Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/. Data collected between 2016 and 2017 from a related NST study in the GNDNERR (Middle Bay and North Rigolets) can be found at https://doi.org/10.5066/P9BFR2US. Please read the full metadata for details on data collection, dataset variables, and data quality.
Purpose:
Net sedimentation tiles (also called sediment plates, tiles, or traps) are an inexpensive tool to assess sediment deposition in coastal zones. Each of the four study sites consisted of five NST plots at 5, 10, 15, 20, and 25 m from the shoreline. Multiple NSTs per distance were used to assess the spatial variation within the marsh and across the shoreline to the marsh interior. To begin this study, textured NST were used to assess the temporal variability in the sediment depositional flux by varying the deployment duration (two consecutive 3-month versus one 6-month deployment period). The initial design (textured NST) used the textured bottom of a 4.25-inch (in) square glazed tile commonly found at local hardware stores glued to a PVC stem and pushed flush into the marsh surface. Six textured NST were deployed in each plot in July 2018 (30 per site or 120 total). In October 2018, three of the six NST (60 total NST) were collected, and three new textured NST were then placed in the same locations. In February 2019, all 120 NST (60 three-month NST and 60 six-month NST) were collected. After the textured NST were collected, three NST of both designs (textured and untextured) were deployed within the same NST plot (120 total NST deployed) to determine if there was a statistical difference in sediment retention. Subsequent NST (untextured) were constructed using a 4.25-in. square fully unglazed and untextured tile, which can be ordered at specialty tile or art supply stores, glued to a PVC stem and inserted until the top of the NST was flush with the marsh surface. From February to August 2019, all 120 NST were collected and redeployed, every three months. From August 2019 to January 2020, only three untextured NST were deployed in each plot (60 total NST deployed) and were collected and redeployed every three months. This data release includes spreadsheets summarizing particle size analysis results for select NST and surface samples collected from Grand Bay.
Supplemental_Information:
Data was collected through quarterly field visits. Each field visit was assigned a field activity number (FAN) and sub-FAN by the U.S Geological Survey (USGS). This publication contains data for field activities from: 1) 2018-332-FA (18CCT01, July 2018), 2) 2018-358-FA (18CCT10, July 2018-October 2018), 3) 2019-303-FA (19CCT01, October 2018-February 2019; 19CCT02, February 2019-May 2019, 19CCT03, May 2019-August 2019; 19CCT04, August 2019-November 2019), 4) 2020-301-FA (20CCT01, November 2019-January 2020). NSTs were deployed on the start date and collected on the end date. The unedited output grain size files with statistics for each sample run along with averaged statistics for each sample generated by the USGS Average and Check Standard Deviation macro are available upon request. The averaged results for the subset of statistical parameters that apply to these data are summarized and published in this data release.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20180718
Ending_Date: 20200128
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -88.449757
East_Bounding_Coordinate: -88.396209
North_Bounding_Coordinate: 30.429843
South_Bounding_Coordinate: 30.335728
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:4abf8873-a39b-4cad-9bfd-ccef2573830d
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme_Keyword: oceans
Theme_Keyword: geoscientificinformation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: unconsolidated deposits
Theme_Keyword: geology
Theme_Keyword: geomorphology
Theme_Keyword: coastal processes
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: sediment
Theme_Keyword: net sedimentation tile
Theme_Keyword: NST
Theme_Keyword: sediment plate
Theme_Keyword: physical parameters
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Theme_Keyword: SPCMSC
Theme_Keyword: deposition
Theme_Keyword: marsh
Theme_Keyword: grain size
Theme_Keyword: particle size analysis
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Grand Bay National Estuarine Research Reserve
Place_Keyword: NERR
Place:
Place_Keyword_Thesaurus: Common Geographic Areas
Place_Keyword: Gulf of Mexico
Place_Keyword: United States
Place_Keyword: Mississippi
Stratum:
Stratum_Keyword_Thesaurus: None
Stratum_Keyword: sediment
Stratum_Keyword: surface
Access_Constraints: None
Use_Constraints:
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. 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. This metadata record should be reviewed in its entirety.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey - St Petersburg Coastal and Marine Science Center
Contact_Person: Joseph F. Terrano
Contact_Position: Physical Scientist
Contact_Address:
Address_Type: Mailing
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Contact_Voice_Telephone: 727-502-8000
Contact_Facsimile_Telephone: 727-502-8182
Contact_Electronic_Mail_Address: jterrano@usgs.gov
Data_Set_Credit:
Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies in data collection methods. These data are not legal documents and are not to be used as such.
Native_Data_Set_Environment:
Environment as of Metadata Creation: Microsoft Windows 10 Enterprise Version 21H2 (Build 19044.1766); Microsoft Excel for Microsoft 365 MSO (Version 2202 Build 16.0.14931.20648)
Cross_Reference:
Citation_Information:
Originator: Wentworth, C.K.
Publication_Date: 1922
Title: A scale of grade and class terms for clastic sediments
Series_Information:
Series_Name: Journal of Geology
Issue_Identification: Volume 30, No. 5
Other_Citation_Details: Pages 377-392
Online_Linkage: https://doi.org/10.1086/622910
Cross_Reference:
Citation_Information:
Originator: Krumbein, W.C.
Publication_Date: 19340801
Title: Size frequency distributions of sediments
Series_Information:
Series_Name: SEPM Journal of Sedimentary Petrology
Issue_Identification: Volume 4, No.2
Other_Citation_Details: Pages 65-77
Online_Linkage: https://doi.org/10.1306/d4268eb9-2b26-11d7-8648000102c1865d
Cross_Reference:
Citation_Information:
Originator: Folk, R.L., and Ward, W.C.
Publication_Date: 19570301
Title:
Brazos River bar: A study in the significance of grain size parameters
Series_Information:
Series_Name: SEPM Journal of Sedimentary Petrology
Issue_Identification: Volume 27, No. 1
Other_Citation_Details: Pages 3-26
Online_Linkage: https://doi.org/10.1306/74D70646-2B21-11D7-8648000102C1865D
Cross_Reference:
Citation_Information:
Originator: Friedman, G.M., and Sanders, J.E.
Publication_Date: 1978
Title: Principles of Sedimentology
Other_Citation_Details: 792 Pages
Cross_Reference:
Citation_Information:
Originator: Blott, S.J., and Pye, K.
Publication_Date: 2001
Title:
Gradistat: A grain size distribution and statistics package for the analysis of unconsolidated sediments
Edition: Version 8.0
Series_Information:
Series_Name: Earth Surface Processes and Landforms
Issue_Identification: Volume 26
Other_Citation_Details: Pages 1237-1248
Online_Linkage: http://www.kpal.co.uk/gradistat.html
Cross_Reference:
Citation_Information:
Originator: Joseph F. Terrano
Publication_Date: 2018
Title:
An evaluation of marsh shoreline erosion and sediment deposition in the Grand Bay National Estuarine Research Reserve, Mississippi, USA
Publication_Information:
Publication_Place: Tampa, Florida
Publisher: University of South Florida Scholar Commons
Other_Citation_Details:
Contains detailed process descriptions for NST construction, deployment, collection, and laboratory processing.
Online_Linkage: https://digitalcommons.usf.edu/etd/7371
Cross_Reference:
Citation_Information:
Originator: Kathryn E.L. Smith
Originator: Joseph F. Terrano
Originator: Nicole S. Khan
Originator: Chelsea A. Stalk
Publication_Date: 20200206
Title:
Shore proximal sediment deposition, elevation, turbidity, and water level data for four sites in the coastal marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2016 through October 2017
Publication_Information:
Publication_Place: St. Petersburg, Florida
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Other_Citation_Details:
Contains data from a related NST study in North Rigolets and Middle Bay areas of the GNDNERR.
Online_Linkage: https://doi.org/10.5066/P9BFR2US
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The physical parameters reported in the table were analyzed at the USGS-SPCMSC sedimentology lab. This sediment dataset has not been independently verified for accuracy. The grain size data presented here 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.
Logical_Consistency_Report:
The complete grain size dataset including all GRADISTAT parameters, results of individual sample runs, and standard deviations for all sample averages are available upon request.
Completeness_Report:
This is a complete grain size dataset that includes results for 115 NST samples, 4 surface sediment samples, and 1 estuarine seafloor sediment sample collected from the Grand Bay National Estuarine Research Reserve, Mississippi.
Lineage:
Process_Step:
Process_Description:
In July 2018, NSTs (4.25 in x 4.25 in textured ceramic floor tiles that were glued to a PVC end cap and attached to a short PVC pole) were deployed at four study sites (Sites 5, 6, 7, and 8) within the Grand Bay National Estuarine Research Reserve, Mississippi. NSTs were deployed at 5, 10, 15, 20 and 25 m inland and perpendicular to the shoreline. At each distance, six NSTs were placed in randomly selected locations within a 1-m quadrat, referred to as the "NST plot". Each NST was gently pushed down into the marsh surface until the NST was flush with the marsh surface. For more information on NST construction and deployment, refer to Terrano (2018). In October 2018, three of the six NST within each plot (60 total NST) were collected, and three new NST were then placed in the same locations. In February 2019, all 120 NST (60 three-month NST and 60 six-month NST) were collected. After the NST were collected, new NST consisting of two designs (three with a textured surface and three untextured) were deployed within the same NST plots (120 total NST deployed) to determine if there was a statistical difference in sediment retention over various surfaces. From February 2019 to August 2019, all 120 NST were collected and redeployed, every three months. From August 2019 to January 2020, only three untextured NST were deployed in each plot (60 total NST deployed) and were collected and redeployed every three months.
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Contact_Person: Kathryn E.L. Smith
Contact_Position: Research Ecologist
Contact_Address:
Address_Type: Mailing and physical
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: U.S.
Contact_Voice_Telephone: (727) 502-8000
Contact_Electronic_Mail_Address: kelsmith@usgs.gov
Process_Step:
Process_Description:
Sediment samples were collected from the top of NST or collected from the top 1 cm of sediment (surface samples). Prior to particle size analysis, sediment samples which appeared to consist of greater than 5 percent organic material had the organic matter chemically removed from the samples using approximately 8 milliliters (mL) of 30 percent hydrogen peroxide (H2O2) in 50 mL beakers overnight. The H2O2 was then evaporated through slow heating on a hot plate, and the sediment was washed and centrifuged twice with deionized water. Samples which appeared to consist of less than 5 percent organic material were dried at 60 degrees Celsius (°C). To prevent shell fragments from damaging the Coulter LS200, particles greater than 1 millimeter (mm) in diameter were separated from all samples prior to analysis with a number 18 (1000 micrometer [µm]) U.S. standard sieve, which meets the American Society for Testing and Materials (ASTM) E11 standard specifications for determining particle size with woven-wire test sieves. The samples were washed through the sieve with filtered municipal water and a few milliliters of sodium hexametaphosphate solution to act as a deflocculant. The sediment slurry was sonicated with a wand sonicator for 30–60 seconds before being introduced into the Coulter LS200 to break down aggregated particles. Two subsamples from each sample were processed through the Coulter LS200 with a minimum of four runs apiece. The Coulter LS200 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. The particles scatter light into characteristic refraction patterns that are measured by an array of photodetectors as intensity per unit area and recorded as relative volume for 92 size-classification channels, or bins. The size-classification boundaries for each bin were based on the ATSM E11 standard specification for wire cloth and sieves for testing purposes.
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Contact_Person: Kathryn E.L. Smith
Contact_Position: Physical Scientist
Contact_Address:
Address_Type: Mailing and physical
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: U.S.
Contact_Voice_Telephone: (727) 502-8000
Contact_Electronic_Mail_Address: jterrano@usgs.gov
Process_Step:
Process_Description:
The raw grain-size data were then run through the free software program, GRADISTAT version 8, (Blott and Pye, 2001; kpal.co.uk/gradistat), which calculates the mean, median, sorting, skewness, and kurtosis of each sample geometrically in metric units and logarithmically in phi units (Krumbein, 1934) 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) based on Friedman and Saunders (1978), a modified Wentworth (1922) size scale. A macro function in Microsoft Excel, developed by the USGS SPCMSC, was applied to the data to calculate the average and standard deviation for each sample set (7-8 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. The raw, unaltered, individual run statistics and class size distribution as produced by GRADISTAT version 8 (Blott and Pye, 2001), as well as the averaged run statistics and class size distributions, are available upon request. The averaged results for all samples, including the number of runs included and the standard deviation of the averaged results were summarized in an Excel workbook.
Process_Date: 2021
Source_Produced_Citation_Abbreviation: Grand_Bay_Grain_Size_Data.zip
Source_Produced_Citation_Abbreviation: Grand_Bay_Grain_Size_Data.csv
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Contact_Person: Kathryn E.L. Smith
Contact_Position: Research Ecologist
Contact_Address:
Address_Type: Mailing and physical
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: U.S.
Contact_Voice_Telephone: (727) 502-8000
Contact_Electronic_Mail_Address: kelsmith@usgs.gov
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
The detailed attribute descriptions for the statistics summary workbooks are provided in the included data dictionary (Grain_Size_Data_Dictionary.docx). These metadata are not complete without this file.
Entity_and_Attribute_Detail_Citation:
The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Contact_Person: Joseph F. Terrano
Contact_Position: Physical Scientist
Contact_Address:
Address_Type: Mailing and physical
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: U.S.
Contact_Voice_Telephone: 727-502-8000
Contact_Electronic_Mail_Address: jterrano@usgs.gov
Resource_Description: Grand_Bay_NST_Grain_Size.csv
Distribution_Liability:
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. Any use of trade, firm, or product name is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Comma-delimited text
Format_Version_Number: 1.0
Format_Specification: .csv
File_Decompression_Technique: Unzip
Transfer_Size: 0.137
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Fees: None, if obtained online
Custom_Order_Process: None
Technical_Prerequisites:
The spreadsheet included in this .zip file were created for use with Microsoft Excel 365. The file may also be viewed with the Microsoft Excel viewer or by downloading a Microsoft Compatibility Pack to view with older versions of Microsoft Excel.
Metadata_Reference_Information:
Metadata_Date: 20230605
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Contact_Person: Joseph F. Terrano
Contact_Position: Physical Scientist
Contact_Address:
Address_Type: Mailing and physical
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: U.S.
Contact_Voice_Telephone: (727) 502-8047
Contact_Electronic_Mail_Address: jterrano@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Access_Constraints: None
Metadata_Security_Information:
Metadata_Security_Classification_System: None
Metadata_Security_Classification: Unclassified
Metadata_Security_Handling_Description: None

This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Grand_Bay_Grain_Size_Metadata.html>
Generated by mp version 2.9.51 on Tue Jun 6 10:02:37 2023