Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile datasets from July 2018 to January 2020

Frequently anticipated questions:

• What does this data set describe?
  1. How might this data set be cited?
  2. What geographic area does the data set cover?
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
  5. What is the general form of this data set?
  6. How does the data set represent geographic features?
  7. How does the data set describe geographic features?
• Who produced the data set?
  1. Who are the originators of the data set?
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
• Why was the data set created?
• How was the data set created?
  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
  3. What similar or related data should the user be aware of?
• How reliable are the data; what problems remain in the data set?
  1. How well have the observations been checked?
  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?
  5. How consistent are the relationships among the data, including topology?
• How can someone get a copy of the data set?
  1. Are there legal restrictions on access or use of the data?
  2. Who distributes the data?
  3. What's the catalog number I need to order this data set?
  4. What legal disclaimers am I supposed to read?
  5. How can I download or order the data?
• Who wrote the metadata?

What does this data set describe?

1. How might this data set be cited?
   Smith, Kathryn E.L., Terrano, Joseph F., Atchia, Isabelle D., Vargas, Joseph M., Everhart, Cheyenne S., Pitchford, Jonathan, and Brochard, Michael, 20200713, Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile datasets from July 2018 to January 2020:.

   This is part of the following larger work.
   Smith, Kathryn E.L., Terrano, Joseph F., Pitchford, Jonathan, Brochard, Michael, Vargas, Joseph M., Atchia, Isabelle D., Everhart, Cheyenne S., and Smith, Christopher G., 20200713, Shore proximal marsh sediment deposition and ancillary data from Grand Bay National Estuarine Research Reserve, Mississippi, from July 2018 to January 2020: U.S. Geological Survey Data Release doi:10.5066/P9ONI8PS, U.S. Geological Survey, St. Petersburg, FL.

   Online Links:

   • https://doi.org/10.5066/P9ONI8PS

2. What geographic area does the data set cover?

   West_Bounding_Coordinate: -88.449757
   East_Bounding_Coordinate: -88.396209
   North_Bounding_Coordinate: 30.429843
   South_Bounding_Coordinate: 30.335728
   

3. What does it look like?

   NST_design.tif (Tagged image file (.tif))

   Constructed tile and stem components of the net sedimentation tile (NST). Images depict the (a & d) bottom, (b & e) side, and (c & f) top view of an NST constructed using 4.25-in square textured and untextured tile, respectively. The tile is screwed onto the (g) stem and pressed into the marsh sediment, which secures the NST to the marsh surface

4. Does the data set describe conditions during a particular time period?

   Beginning_Date: 18-Jul-2018

   Ending_Date: 28-Jan-2020

   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 July 2018 to January 2020. (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 (18CCT01, 18CCT10, 19CCT01, 19CCT02, 19CCT03, 19CCT04, 20CCT01), GB denotes samples are from Grand Bay, X is the site number (5, 6, 7, or 8), YY is the NST plot distance from the shoreline (5 m represented as "01", 10 m as "02", 15 m as "03", 20 m as "04", and 25 m as "05"), T denotes the sample collected was from a net sedimentation tile (NST), and ZZ is the NST number (textured is 1 through 120 and untextured is 201 through 260). For example, sample ID 18CCT10-GB501-T01 is from the first collection trip of the year (18CCT10) from Site 5 in the 5-meter plot and was NST number 01 (textured NST).

   Site

   Site number (Source: USGS)

   Range of values
   Minimum:	5
   Maximum:	8

   Distance

   Distance inland to the NST plot from the shoreline. (Source: USGS)

   Range of values
   Minimum:	5
   Maximum:	25

   NST Number

   Net sedimentation tile number (Source: USGS)

   Range of values
   Minimum:	1
   Maximum:	260

   NST type

   Codes used to identify the type of NST that was deployed. (Source: USGS)

   Value	Definition
   T	Code representing NST constructed using the textured bottom of a standard floor tile.
   U	Code representing NST constructed using the untextured and unglazed top of a specialty craft store tile.

   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) Alternate 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.

   Days

   Number of days the NSTs were deployed on the marsh. (Source: USGS)

   Range of values
   Minimum:	76
   Maximum:	203
   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.

   Total volume

   Wet volume of the sediment, measured in milliliters (mL). (Source: USGS)

   Range of values
   Minimum:	0.00
   Maximum:	727.00
   Units:	milliliters (mL)

   Bulk density volume

   Wet volume of the bulk density sediment sample, measured in milliliters (mL). (Source: USGS)

   Range of values
   Minimum:	0.00
   Maximum:	50.00
   Units:	milliliters (mL)

   Wet_wt

   Wet weight of the bulk density sediment sample, measured in grams (g). (Source: USGS)

   Range of values
   Minimum:	0.00
   Maximum:	96.52
   Units:	Grams (g)

   Dry_wt

   Weight of the dry bulk density sediment sample after drying for 48 hours at 60 degrees Celsius, measured in grams (g). (Source: USGS)

   Range of values
   Minimum:	0.00
   Maximum:	78.07
   Units:	Grams (g)

   LOI OM

   Loss on ignition organic matter. (Source: USGS)

   Range of values
   Minimum:	0.0034
   Maximum:	0.2222

   LOI OM STDEV

   Loss on ignition organic matter standard deviation. (Source: USGS)

   Range of values
   Minimum:	0.0001
   Maximum:	0.0160

   FLAG

   Codes used to identify errors or important notations when analyzing the data. If two letters are present in the field, the error represents a combination of multiple error codes. (Source: USGS)

   Value	Definition
   B	Code representing NST that broke during collection and sediment may have been lost.
   S	Code representing NST that did not have enough sediment to complete all sedimentary analyses.

Who produced the data set?

1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
   • Kathryn E.L. Smith
   • Joseph F. Terrano
   • Isabelle D. Atchia
   • Joseph M. Vargas
   • Cheyenne S. Everhart
   • Jonathan Pitchford
   • Michael Brochard
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 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.

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: 18-Jul-2018 (process 1 of 5)

   In July 2018, NSTs (4.25 n 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). 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: 2020 (process 2 of 5)

   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. 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. 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: 2020 (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:

   • https://scholarcommons.usf.edu/etd/7371/

   Other_Citation_Details:

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

   Smith, Kathryn E.L., Terrano, Joseph F., Khan, Nicole S., and Stalk, Chelsea A., 2020, 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: United States Geological Survey, St.Petersburg, Florida.

   Online Links:

   • https://doi.org/10.5066/P9BFR2U

   Other_Citation_Details:

   Contains data from a related NST study in North Rigolets and Middle Bay areas of the GNDNERR.

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-SPCMSC 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 (NST) number, NST type, Field Activity Number (FAN), alternate FAN, days deployed, sediment volume, sediment wet and dry weight, loss on ignition (LOI), and LOI standard deviation.

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?
   • Availability in digital form:

     Data format:	Comma-delimited text (version 1) .csv Size: 0.026
     Network links:	https://coastal.er.usgs.gov/data-release/doi-P9ONI8PS/data/Grand_Bay_Net_Sedimentation_Tile_Data.zip

   • Cost to order the data: None, if obtained online

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?

   None

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)