Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile datasets from October 2016 to October 2017

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Frequently anticipated questions:

What does this data set describe?

Title:
Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile datasets from October 2016 to October 2017
Abstract:
To 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 in the Grand Bay National Estuarine Research Reserve, Mississippi (GNDNERR). Each site consisted of four plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5, 10, 15, and 20 m from the shoreline). Each plot contained four 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 months, measuring quarterly sediment deposition for one year from October 2016 to October 2017. In addition, three NST were deployed at the 10-m plot on October 5th prior to the landfall of Hurricane Nate (October 8, 2017) and retrieved after 12 days, providing measurements of storm deposition. Sediment deposited on the NST were processed to determine physical characteristics, such as deposition thickness, volume, wet weight/dry weight, and organic content (loss-on-ignition [LOI]). When available, additional data collected at each site including water level, elevation, and turbidity data are provided in this data release. Data were collected during Field Activities Numbers (FAN) 2017-303-FA, 2017-315-FA, 2017-333-FA, 2017-346-FA, and 2017-363-FA (also known as subFANs 17CCT01, 17CCT02, 17CCT03, 17CCT04, and 17CCT05, respectively). 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/. Please read the full metadata for details on data collection, dataset variables, and data quality.
Supplemental_Information:
Each field visit was assigned a FAN by the USGS SPCMSC to assist with dataset tracking. Data were collected from each site during quarterly field visits. An additional survey was conducted at the end of the sampling period to measure storm deposition associated with the landfall of Hurricane Nate, on October 8, 2017. This dataset contains data from five field activities: 1) 2017-303-FA (17CCT01), Fall, October 2016 to January 2017, 2) 2017-315-FA (17CCT02), Winter, January 2017 to April 2017, 3) 2017-333-FA (17CCT03), Spring, April 2017 to July 2017, 4) 2017-346-FA (17CCT04), Summer, July 2017 to October 2017, and 5) 2017-363-FA (17CCT05), Hurricane Nate, October 5thto October 18th, 2017. NSTs were deployed on the start date and collected on the end date.
  1. How might this data set be cited?
    Terrano, Joseph F., Smith, Kathryn E.L., Khan, Nicole S., and Smith, Christopher G., 20200226, Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile datasets from October 2016 to October 2017: U.S. Geological Survey Data Release doi:10.5066/P9BFR2US.

    Online Links:

    This is part of the following larger work.

    Smith, Kathryn E.L., Terrano, Joseph F., Khan, Nicole S., and Stalk, Chelsea A., 20200226, Shore proximal sediment deposition, elevation, turbidity, and water level data in a coastal marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2016 through October 2017: U.S. Geological Survey Data Release doi:10.5066/P9BFR2US, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.41443
    East_Bounding_Coordinate: -88.39625
    North_Bounding_Coordinate: 30.38386
    South_Bounding_Coordinate: 30.36241
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 20-Oct-2016
    Ending_Date: 18-Oct-2017
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: Tabular digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    Grand_Bay_Net_Sedimentation_Tile_Data.csv
    Physical properties of sediment deposited on NSTs located in the marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2016 to October 2017. (Source: USGS)
    Sample_ID
    Sample identification number (Source: USGS) Character string. Sample IDs listed within the table used the naming convention FAN-GBXYY-TZZ, where FAN represents the USGS abbreviated field activity number (17CCT01, 17CCT02, 17CCT03, 17CCT04 and 17CCT05) with the last number denoting what trip number it was, GB denotes samples are from Grand Bay, X is the site number (1,2,3, or 4), YY is the NST plot distance from the shoreline (5 m represented as "01", 10 m as "02", 15 m as "03", and 20 m as "04"), T denotes the sample collected was from a net sedimentation tile (NST), and ZZ is the NST number (1 through 64). For example, sample ID 17CCT01-GB201-T01 is from the first trip of the year (17CCT01) from Site 2 in the 5-meter plot and was NST number 01.
    Site_ID
    Site identification number (Source: USGS) Character string. Site IDs listed within the table used the naming convention FAN-GBXYY, where FAN represents the USGS abbreviated field activity number (17CCT01, 17CCT02, 17CCT03, and 17CCT04) with the last number denoting what trip number it was, GB denotes samples are from Grand Bay, X is the site number (1,2,3, or 4), YY is the NST plot distance from the shoreline (5 m represented as "01", 10 m as "02", 15 m as "03", and 20 m as "04"). For example, site ID 17CCT01-GB201 is from the first trip of the year (17CCT01) from Site 2 in the 5-meter plot.
    Site
    Site number (Source: USGS)
    Range of values
    Minimum:1
    Maximum:4
    Distance
    Distance inland to the NST plot from the shoreline. (Source: USGS)
    Range of values
    Minimum:5
    Maximum:20
    Tile
    Net sedimentation tile number (Source: USGS)
    Range of values
    Minimum:1
    Maximum:64
    FAN
    USGS field activity number (FAN) assigned to each sample collection trip. (Source: USGS) Field activity numbers were assigned by the USGS to track field collection of samples. The FAN number consists of YYYY-XXX-FA, with YYYY being the 4-digit year and XXX being the trip number, and FA representing that it is a field activity.
    Alt_FAN
    Alternate (abbreviated) FAN number assigned each collection trip. (Source: USGS) FAN numbers were assigned by the USGS and are YYCCTXX, where YY is the 2-digit year, CCT stands for coastal change and transport, and XX is the trip number. For example, 17CCT01 was from 2017 sample collection trip 01.
    Days
    Number of days the NSTs were deployed on the marsh. (Source: USGS)
    Range of values
    Minimum:12
    Maximum:94
    Units:Days
    Deployment date
    Date the NSTs were deployed in Grand Bay in M/DD/YYYY or MM/DD/YYYY format. (Source: USGS) Date the NSTs were deployed in Grand Bay in M/DD/YYYY or MM/DD/YYYY format.
    Collection date
    Date the NSTs were retrieved from Grand Bay in M/DD/YYYY or MM/DD/YYYY format. (Source: USGS) Date the NSTs were retrieved from Grand Bay in M/DD/YYYY or MM/DD/YYYY format.
    Depth_avg
    Depth of the sediment deposited on top of the NST, measured in centimeters (cm). (Source: USGS)
    Range of values
    Minimum:0.0000
    Maximum:2.2250
    Units:centimeters (cm)
    Depth_std
    Standard deviation of the sediment depths. (Source: USGS)
    Range of values
    Minimum:0.0000
    Maximum:0.47
    Volume
    Wet volume of the sediment, measured in milliliters (mL). (Source: USGS)
    Range of values
    Minimum:0.2
    Maximum:450
    Units:milliliters (mL)
    Wet_wt
    Wet weight of the sediment deposited on the NST, measured in grams (g). (Source: USGS)
    Range of values
    Minimum:0.18
    Maximum:722.87
    Units:Grams (g)
    Dry_wt
    Weight of the dry sediment after drying for 48 hours at 60 degrees Celsius, measured in grams (g) (Source: USGS)
    Range of values
    Minimum:0.1800
    Maximum:447.41
    Units:Grams (g)
    LOI OM
    Loss on ignition organic matter (Source: USGS)
    Range of values
    Minimum:0.0054
    Maximum:0.317
    FLAG
    Codes used to identify errors or important notations when analyzing the data. (Source: USGS)
    ValueDefinition
    JCode representing samples that were processed for volume in a way not consistent with the rest of the samples.
    DWet or dry weight recording error. Usually indicated by dry mass being higher than wet mass.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Joseph F. Terrano
    • Kathryn E.L. Smith
    • Nicole S. Khan
    • Christopher G. Smith
  2. Who also contributed to the data set?
    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.
  3. To whom should users address questions about the data?
    U.S. Geological Survey St Petersburg Coastal and Marine Science Center
    Attn: Kathryn Smith
    Research Ecologist
    600 4th Street South
    St. Petersburg, FL

    727-502-8073 (voice)
    727-502-8182 (FAX)
    kelsmith@usgs.gov

Why was the data set created?

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 four NST plots at 5, 10, 15, and 20m from the shoreline, with four NSTs per distance (total of 16 NSTs per site). Multiple NSTs per distance were used to assess the spatial variation within the marsh and across the shoreline to the marsh interior. The NSTs were collected and redeployed every three months to assess sediment deposition seasonally and over the one-year study period.

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: 20-Oct-2016 (process 1 of 5)
    In October 2016, NSTs (4.25 inch [in] X 4.25 in ceramic floor tiles turned upside-down that were glued to a PVC end cap and attached to a short PVC pole) were deployed at four study sites within the Grand Bay National Estuarine Research Reserve, Mississippi. NSTs were deployed at 5, 10, 15, and 20 m inland and perpendicular to the shoreline. At each distance, four NSTs were placed in randomly selected locations within a 1-mquadrat, referred to as the "NST plot" or "tile plot". Each NST was gently pushed down into the marsh surface until the NST was flush with the marsh surface. Each study site consisted of four distances with four plates at each distance, for a total of 16 plates at each site, for an overall 64 plates deployed each trip. For more information on NST construction and deployment, refer to Terrano, 2018. Person who carried out this activity:
    U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Joseph F. Terrano
    Researcher III
    600 4th Street South
    St. Petersburg, FL
    U.S.

    (727) 502-8047 (voice)
    jterrano@contractor.usgs.gov
    Date: 2017 (process 2 of 5)
    After the initial deployment of NSTs in October 2016, the NSTs were collected and redeployed every three months (January 2017, April 2017, July 2017, and October 2017). The NSTs were collected in early October and redeployed to capture deposition from Hurricane Nate in mid-October. For specific dates the NSTs were deployed and collected refer to the data file. Each collection trip consisted of gently removing the NST from the marsh surface and scraping off sediment hanging off the sides of the NST. NSTs were placed it in a transport container for processing back at the USGS SPCMSC sedimentology laboratory. NSTs were last collected in October 2017 and were not redeployed. For additional information related to NST collection, refer to Terrano, 2018. Person who carried out this activity:
    U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Joseph F. Terrano
    Researcher III
    600 4th Street South
    St. Petersburg, FL
    U.S.

    (727) 502-8047 (voice)
    jterrano@contractor.usgs.gov
    Date: 2018 (process 3 of 5)
    NSTs were processed in the USGS SPCMSC sedimentology laboratory shortly after each sample collection trip. Sediment depth (thickness) was determined by using a small metal probe to measure the depth of the sediment deposited on the NST. Wet volume was determined by packing the sediment into a syringe. The wet sediment was weighed and dried for 48 hours at 60 degrees Celsius (°C) to obtain a dry weight. Additional information about sediment processing can be found in Terrano, 2018. Person who carried out this activity:
    U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Joseph F. Terrano
    Researcher III
    600 4th Street South
    St. Petersburg, FL
    U.S.

    (727) 502-8047 (voice)
    jterrano@contractor.usgs.gov
    Date: 2019 (process 4 of 5)
    Organic matter content was determined with a mass loss technique, referred to as loss on ignition (LOI). The dry sediment from the previous process was homogenized with a porcelain mortar and pestle. Approximately 0.5-5 grams (g) of the dry sediment was placed into a pre-weighed porcelain crucible. The mass of the dried sediment was recorded. The sample was then placed inside a laboratory muffle furnace with stabilizing temperature control. The furnace was heated to 110 °C for a minimum of 6 hours to remove hygroscopic water absorbed onto the sediment particles. The furnace temperature was then lowered to 60 °C, at which point the sediments could be reweighed. The dried sediment was returned to the muffle furnace. The furnace was heated to 550 °C over 30 minutes and kept at 550 °C for 6 hours. The furnace temperature was then lowered to 60 °C and held at this temperature until the sediments could be reweighed. The latter step prevents the absorption of moisture, which can affect the measurement. The mass lost during the 6-hour baking period relative to the 110 °C-dried mass is used as a metric of organic matter content. Data are reported as a ratio of mass (g) of organic matter to mass (g) of dry sediment (post-110 °C drying). If necessary, replicate analyses of loss on ignition was conducted for quality assurance and those values were averaged. Person who carried out this activity:
    U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Joseph F. Terrano
    Researcher III
    600 4th Street South
    St. Petersburg, FL
    U.S.

    (727) 502-8047 (voice)
    jterrano@contractor.usgs.gov
    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?
    Terrano, Joseph F., 2018, An Evaluation of Marsh Shoreline Erosion and Sediment Deposition in the Grand Bay National Estuarine Research Reserve, Mississippi, USA: University of South Florida Scholar Commons, Tampa, Florida.

    Online Links:

    Other_Citation_Details:
    Contains detailed process descriptions for NST construction, deployment, collection, and laboratory processing.

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The physical parameters reported in the table were analyzed at the USGS St. Petersburg Coastal and Marine Science sedimentology lab. This sediment dataset has not been independently verified for accuracy.
  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?
    This is a complete, processed physical parameters data file for data collected within the Grand Bay National Estuarine Research Reserve, Mississippi.
  5. How consistent are the relationships among the observations, including topology?
    The data included in Grand_Bay_Net_Sedimentation_Tile_Data.csv are related to: sample ID, site, distance, net sedimentation tile number, FAN, alternate FAN, days deployed, sediment depth, sediment volume, sediment wet and dry weight, and loss on ignition.

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:
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.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Kathryn Smith
    600 4th Street South
    St. Petersburg, FL
    U.S.

    727-502-8073 (voice)
    kelsmith@usgs.gov
  2. What's the catalog number I need to order this data set? Grand_Bay_Net_Sedimentation_Tile_Data.csv
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?
  5. Is there some other way to get the data?
    None
  6. What hardware or software do I need in order to use the data set?
    The spreadsheets included in this .zip file were created for use with Microsoft Excel 365 ProPlus. They may also be viewed with the Microsoft Excel viewer or by downloading a Microsoft Compatibility Pack to view with older versions of Microsoft Excel.

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Attn: Joseph F. Terrano
Researcher III
600 4th Street South
St. Petersburg, FL
U.S.

(727) 502-8047 (voice)
jterrano@contractor.usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Grand_Bay_Net_Sedimentation_Tile_Metadata.faq.html>
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