Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile and surface grab sediment physical properties datasets from October 2020 to January 2023

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?
   Terrano, Joseph F., Smith, Kathryn E.L., Griffiths, Jonathan P., Vargas, Joseph M., Randall, Samuel M., Pitchford, Jonathan, Archer, Michael, Ellis, Alisha M., and Everhart, Cheyenne S., 20250527, Shore proximal sediment deposition in coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi: net sedimentation tile and surface grab sediment physical properties datasets from October 2020 to January 2023:.

   This is part of the following larger work.
   Terrano, Joseph F., Ellis, Alisha M., Smith, Kathryn E.L., Pitchford, Jonathan, Archer, Michael, Vargas, Joseph M., Griffiths, Jonathan P., Randall, Samuel M., Virden, Matthew, Everhart, Cheyenne S., and Sparks, Eric, 20250527, Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From October 2020 to January 2023: U.S. Geological Survey data release doi:10.5066/P13VT3ET, U.S. Geological Survey, St. Petersburg, FL.

   Online Links:

   • https://doi.org/10.5066/P13VT3ET

2. What geographic area does the data set cover?

   West_Bounding_Coordinate: -88.4474
   East_Bounding_Coordinate: -88.4435
   North_Bounding_Coordinate: 30.3370
   South_Bounding_Coordinate: 30.3337
   

3. What does it look like?
4. Does the data set describe conditions during a particular time period?

   Beginning_Date: 08-Oct-2020

   Ending_Date: 31-Jan-2023

   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_NST_Sediment_Physical_Properties_20CCT02_23CCT01.csv

   Physical properties of sediment deposited on NSTs located in the marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2020 to January 2023. Blanks indicate no data. (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 (21CCT01, 21CCT05, 22CCT01, 22CCT03, 22CCT05, 22CCT07, 23CCT01), GB denotes samples are from Grand Bay, X is the site number (5, 6, 7, 8, or 9), 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 (Unglazed storm deployment tiles are 1 through 105, unglazed are 200 through 260 and glazed are 400 through 460). For example, sample ID 23CCT01-GB501-T201 is from the first collection trip of the year (21CCT03) from Site 5 in the 5-meter plot and was NST number 201 (a glazed NST).

   Site

   Site number. (Source: USGS)

   Range of values
   Minimum:	5
   Maximum:	9

   Distance

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

   Range of values
   Minimum:	5
   Maximum:	25
   Units:	meters

   NST_number

   Net sedimentation tile number. (Source: USGS)

   Range of values
   Minimum:	7
   Maximum:	415

   NST_type

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

   Value	Definition
   G	Code representing NST constructed using a glazed standard tile.
   U	Code representing NST constructed using the unglazed 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 consists of YYYY-XXX-FA, with YYYY being the 4-digit year, XXX being the trip number, and FA representing that it is a field activity.

   Alt_FAN

   Alternate (abbreviated) FAN assigned for each collection trip. (Source: USGS) Alternate FANs were assigned by the USGS and are YYCCTXX, where YY is the 2-digit year, CCT stands for coastal change and transport (a USGS project identifier), and XX is the assigned trip number.

   Days

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

   Range of values
   Minimum:	8
   Maximum:	98
   Units:	Days

   Deployment_Date

   Date the NSTs were deployed in Grand Bay in M/DD/YYYY or MM/DD/YYYY format. (Source: USGS)

   Range of values
   Minimum:	10/8/2020
   Maximum:	11/8/2022

   Collection_Date

   Date the NSTs were retrieved from Grand Bay in M/DD/YYYY or MM/DD/YYYY format. (Source: USGS)

   Range of values
   Minimum:	10/16/2020
   Maximum:	1/31/2023

   Total_Volume

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

   Range of values
   Minimum:	0
   Maximum:	1052
   Units:	milliliters (mL)

   Bulk_Density_Volume

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

   Range of values
   Minimum:	0.3
   Maximum:	50
   Units:	milliliters (mL)

   Wet_wt

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

   Range of values
   Minimum:	0.23
   Maximum:	94.11
   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:	0.05
   Maximum:	77.96
   Units:	Grams (g)

   DBD_QA

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

   Value	Definition
   0	Code representing data that meets all quality control and accuracy (QA/QC) requirements.
   C	Code representing NST that had minor deficiencies meeting QA/QC requirements, but the overall data quality is judged to be reliable.
   J	Code representing NST that did not have enough sediment to complete all sedimentary analyses.
   R	Code representing NST with reported DBD values rejected due to deficiency in QA/QC requirements.

   LOI_OM

   Loss on ignition organic matter. Blank cells represent no data. (Source: USGS)

   Range of values
   Minimum:	0.003139354
   Maximum:	0.229110403

   LOI_OM_STDEV

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

   Range of values
   Minimum:	0.000121873
   Maximum:	0.007263931

   Storm

   Name of hurricane that passed over or near the NST sites during the collection period. (Source: USGS)

   Value	Definition
   Delta	Hurricane Delta (in 2020)
   Ida	Hurricane Ida (in 2021)

   Grand_Bay_Surface_Sediment_Physical_Properties_22CCT01_23CCT01.csv

   Physical properties of sediment deposited on the marsh surface near the NST plots at Grand Bay National Estuarine Research Reserve, Mississippi, from February 2022 to January 2023. (Source: USGS)

   Sample_ID

   Sample identification number. (Source: USGS) Character string. Sample IDs listed within the table used the naming convention FAN-GBXYYS or FAN-GBX-S-Z or FAN-GBX-D-Z, where FAN represents the USGS abbreviated field activity number (22CCT01, 22CCT03, 23CCT01), GB denotes samples are from Grand Bay, X is the NST site number (5, 6, 7, 8, 9) or estuary site number (8S, 8D, 9S, 9D), 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") with estuary sites as "NA" values, S denotes the sample collected was from the sediment surface, and Z is the replicate sample identifier. For example, sample ID 22CCT01-GB501S is from the first collection trip of the 2022 (22CCT01) from Site 5 in the 5-meter plot from the sediment surface.

   Site

   Site number (Source: USGS)

   Range of values
   Minimum:	5
   Maximum:	9

   Distance

   Distance inland to the NST plot from the shoreline. NA represents the distance was not applicable for that sample. (Source: USGS)

   Range of values
   Minimum:	5
   Maximum:	25

   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 consists of YYYY-XXX-FA, with YYYY being the 4-digit year, XXX being the trip number, and FA representing that it is a field activity.

   Alt_FAN

   Alternate (abbreviated) FAN assigned each collection trip. (Source: USGS) Alternate FANs were assigned by the USGS and are YYCCTXX, where YY is the 2-digit year, CCT stands for coastal change and transport (a USGS project identifier), and XX is the assigned trip number.

   Collection_Date

   Date the NSTs were retrieved from Grand Bay in M/DD/YYYY or MM/DD/YYYY format. (Source: USGS)

   Range of values
   Minimum:	2/14/2020
   Maximum:	1/31/2023

   Bulk_Density_Volume

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

   Range of values
   Minimum:	10
   Maximum:	50
   Units:	milliliters (mL)

   Wet_wt

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

   Range of values
   Minimum:	13.31
   Maximum:	95.15
   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:	5.74
   Maximum:	75.86
   Units:	Grams (g)

   DBD_QA

   Codes used to identify errors or important notations when analyzing the dry bulk density data. (Source: USGS)

   Value	Definition
   0	Code representing data that meets all quality control and accuracy (QA/QC) requirements.

   LOI_OM_mean

   Loss on ignition organic matter (mean). Blank cells represent no data. (Source: USGS)

   Range of values
   Minimum:	0.00045
   Maximum:	0.1418

   LOI_OM_STDEV

   Loss on ignition organic matter standard deviation (if replicate samples were run for the designated sample). Blank cells represent no data. (Source: USGS)

   Range of values
   Minimum:	0.0001
   Maximum:	0.0012

   Entity_and_Attribute_Overview:

   The detailed grain size attribute descriptions for the NST and surface sediment data are provided in the included data dictionary (Grain_Size_Data_Dictionary.docx). These metadata are not complete without this file. The grain size data dictionary applies to data within GB_SurfaceSediment_Data_2021_2023.zip and GB_Net_Sedimentation_Tile_Data_2020_2023.zip.

   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.

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
   • Jonathan P. Griffiths
   • Joseph M. Vargas
   • Samuel M. Randall
   • Jonathan Pitchford
   • Michael Archer
   • Alisha M. Ellis
   • Cheyenne S. Everhart
2. Who also contributed to the data set?
   The authors would like to acknowledge the GNDNERR staff for their contributions in collecting and reviewing this data.
3. To whom should users address questions about the data?
   U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center

   Attn: Joseph F. Terrano

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   727-502-8047 (voice)

   727-502-8182 (FAX)

   jterrano@usgs.gov

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?

   Date: 2020 (process 1 of 5)

   Between October 8-16, 2020, a special NST deployment occurred to collect data from the passing of Hurricane Delta. Each site (5-8) consisted of two plots located along a transect perpendicular to the marsh-estuary shoreline at 10 and 25 meters inland from the shoreline. At each distance, three unglazed NST were placed in randomly selected locations within a 1-m quadrat, referred to as the "NST plot". The unglazed NST was a 4.25-inch (in) square tile. 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). Immediately following the passing of Hurricane Delta, the NST were collected and brought back to the USGS SPCMSC for sedimentary analysis. Person who carried out this activity:
   

   U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center

   Attn: Joseph F. Terrano

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   U.S.

   (727) 502-8047 (voice)

   jterrano@usgs.gov

   Date: 2023 (process 2 of 5)

   The post subtidal sill study consisted of Sites 5-9. Each site had of five NST 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). To begin this study, three unglazed NST and three glazed NST were used in each plot to assess the NST design (glazed versus unglazed). Both designs used a 4.25-inch (in) square tile. At each distance, six NSTs were placed in randomly selected locations within the 1-m quadrat (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). The three glazed and three unglazed NST were deployed in each plot in August 2021 (30 per site or 120 total). In September 2021, all NST were collected and new NST were redeployed due to the passing of Hurricane Ida. After all the NST were collected, three new glazed and three new unglazed NST were then placed in the same locations. Following the deployment in September 2021, all 120 NST were collected and redeployed approximately every three months until August 2022. From August 2022 to January 2023, only three unglazed NST were deployed in each plot (60 total NST deployed) and were collected and redeployed every three months. During select trips, surface sediment samples were collected from the top one centimeter of the marsh or estuary surface. For marsh samples, a 4x4 inch sampling area was selected directly adjacent to each NST plot. For estuary samples, one sample was collected at each site using a petite Ponar grab sampler. Since the Ponar collected sediment from roughly the top ten centimeters, a 4x4 inch sampling area was selected. From within this box the top one centimeter of sediment was collected for analysis. All NST and surface samples were put into individual containers to prevent cross contamination. All sediment samples were brought back to the USGS-SPCMSC sedimentology laboratory and stored in a refrigerator until they were ready to be processed. Person who carried out this activity:
   

   U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center

   Attn: Joseph F. Terrano

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   U.S.

   (727) 502-8047 (voice)

   jterrano@usgs.gov

   Date: 2023 (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

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   U.S.

   (727) 502-8047 (voice)

   jterrano@usgs.gov

   Date: 2023 (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). To be consistent with previous data releases, replicate analyses of loss on ignition was conducted for quality assurance and those values were averaged (Smith and others, 2020). Person who carried out this activity:
   

   U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center

   Attn: Joseph F. Terrano

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   U.S.

   (727) 502-8047 (voice)

   jterrano@usgs.gov

   Data sources produced in this process:

   • Grand_Bay_NST_Sediment_Physical_Properties_20CCT02_23CCT01.csv
   • Grand_Bay_Surface_Sediment_Physical_Properties_22CCT01_23CCT01.csv

   Date: 2023 (process 5 of 5)

   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 (by visual inspection) 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 Beckman Coulter LS 13 320 particle size analyzer, 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 deionized 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 LS 13 320 to break down aggregated particles. Two subsamples from each sample were processed through the Coulter LS 13 320 with a minimum of four runs apiece. The Coulter LS 13 320 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. The raw grain-size data were then run through the free software program, GRADISTAT version 9.1, (Blott and Pye, 2001), 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. The highlighted runs were removed from the results, and the sample average was recalculated using the remaining runs. The raw, unaltered, individual run statistics measured by the LS 13 320 and class size distribution as produced by GRADISTAT (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. The excel notebooks were compiled into a CSV file for NST samples and a CSV for surface sediment samples. Person who carried out this activity:
   

   U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center

   Attn: Kathryn E.L. Smith

   Physical Scientist

   600 4th Street South

   St. Petersburg, FL
   

   U.S.

   (727) 502-8000 (voice)

   jterrano@usgs.gov

   Data sources produced in this process:

   • Grain_Size_Data_Dictionary.docx
   • Grand_Bay_NST_Grain_Size_Data_20CCT02_23CCT01.csv
   • Grand_Bay_Surface_Grain_Size_Data_22CCT01_23CCT01.csv

3. What similar or related data should the user be aware of?
   Wentworth, C.K., 1922, A scale of grade and class terms for clastic sediments: Journal of Geology Volume 30, No. 5.

   Online Links:

   • https://doi.org/10.1086/622910

   Other_Citation_Details: Pages 377-392
   

   Krumbein, W.C., 19340801, Size frequency distributions of sediments: SEPM Journal of Sedimentary Petrology Volume 4, No.2.

   Online Links:

   • https://doi.org/10.1306/d4268eb9-2b26-11d7-8648000102c1865d

   Other_Citation_Details: Pages 65-77
   

   Folk, R.L., and Ward, W.C., 19570301, Brazos River bar: A study in the significance of grain size parameters: SEPM Journal of Sedimentary Petrology Volume 27, No. 1.

   Online Links:

   • https://doi.org/10.1306/74D70646-2B21-11D7-8648000102C1865D

   Other_Citation_Details: Pages 3-26
   

   Friedman, G.M., and Sanders, J.E., 1978, Principles of sedimentology.

   Other_Citation_Details: 792 Pages
   

   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 Volume 26, No. 11.

   Online Links:

   • https://doi.org/10.1002/esp.261
   • http://www.kpal.co.uk/gradistat.html

   Other_Citation_Details: Pages 1237-1248
   

   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/

   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 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/P9BFR2US

   Other_Citation_Details: Smith and others (2020a)
   

   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: United States Geological Survey-St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

   Online Links:

   • https://doi.org/10.5066/P9ONI8PS

   Other_Citation_Details: Smith and others (2020b)
   

   Smith, Kathryn E.L., Pitchford, Jonathan L., Sparks, Eric L., Archer, Michael J., Virden, Matthew F., Terrano, Joseph F., and Smith, Christopher G., 20250612, Evaluating the influence of constructed subtidal reefs on marsh shoreline erosion, sediment deposition, and wave energy: Estuaries and Coasts Volume 48, Article 128, Springer Nature, Online.

   Online Links:

   • https://doi.org/10.1007/s12237-025-01564-7

   Other_Citation_Details: Smith and others (2025)
   

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. These sediment datasets were checked by multiple reviewers independent of data processors to ensure data 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. Positional data can be obtained from the "GB_Elevation_Data_2020_2023.zip" folder and metadata within this data release.
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 and grain size file for data collected within the Grand Bay National Estuarine Research Reserve, Mississippi for net sediment tiles or surface sediment samples from 2020 to 2023. Data quality notes are presented in the data file and are described in this metadata. If a cell is blank, it represents no data was collected for that analysis.
5. How consistent are the relationships among the observations, including topology?
   The data included in the provided data files contain data related to sediment physical properties (bulk density, LOI, grain size). The complete grain size dataset including all GRADISTAT parameters, results of individual sample runs or re-runs, and standard deviations for all sample averages are available upon request. Re-runs were conducted when additional sediment was available or there was an issue with the quality control (QC) check of the original sample. All samples analyzed, including those that did not pass QC checks, are published in this data release. If the sample had QC issues, it was noted in the data file. For more information, about specific samples and results, contact the metadata contact listed in this metadata record.

How can someone get a copy of the data set?

1. Who distributes the data set? (Distributor 1 of 1)
   
   U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center

   Attn: USGS SPCMSC Data Management

   600 4th Street South

   Saint Petersburg, FL
   

   United States

   727-502-8000 (voice)

   gs-g-spcmsc_data_inquiries@usgs.gov
2. What's the catalog number I need to order this data set? Grand_Bay_Surface_Grain_Size_Data_22CCT01_23CCT01.csv, Grand_Bay_Surface_Sediment_Physical_Properties_22CCT01_23CCT01.csv, Grand_Bay_NST_Grain_Size_Data_20CCT02_23CCT01.csv, Grand_Bay_NST_Sediment_Physical_Properties_20CCT02_23CCT01.csv, Grain_Size_Data_Dictionary.docx
3. What legal disclaimers am I supposed to read?
   Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names 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
     Network links:	https://coastal.er.usgs.gov/data-release/doi-P13VT3ET/data/GB_Net_Sedimentation_Tile_Data_2020_2023.zip https://coastal.er.usgs.gov/data-release/doi-P13VT3ET/data/GB_SurfaceSediment_Data_2021_2023.zip

   • Cost to order the data: None

Who wrote the metadata?

Dates:

Last modified: 18-Jun-2025

Metadata author:

U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center

Attn: USGS SPCMSC Data Management

600 4th Street South

Saint Petersburg, FL

United States

727-502-8000 (voice)

gs-g-spcmsc_data_inquiries@usgs.gov

Metadata standard:

Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)