Metadata: Identification_Information: Citation: Citation_Information: Originator: Kathryn E.L. Smith Originator: Joseph F. Terrano Originator: Nicole Khan Publication_Date: 20200226 Title: Turbidity data for two sites in the coastal marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2016 through October 2017 Geospatial_Data_Presentation_Form: Tabular digital data Series_Information: Series_Name: U.S. Geological Survey Data Release Issue_Identification: doi:10.5066/P9BFR2US Publication_Information: Publication_Place: St. Petersburg, FL Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.5066/P9BFR2US Larger_Work_Citation: Citation_Information: Originator: Kathryn E.L. Smith Originator: Joseph F. Terrano Originator: Nicole Khan Originator: Chelsea A. Stalk Publication_Date: 20200226 Title: 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 Geospatial_Data_Presentation_Form: Multi-format presentation Series_Information: Series_Name: U.S. Geological Survey Data Release Issue_Identification: doi:10.5066/P9BFR2US Publication_Information: Publication_Place: St. Petersburg, FL Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.5066/P9BFR2US Description: 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. Purpose: This data release contains turbidity data from two sensors located at two of the four marsh sites at Grand Bay National Estuarine Research Reserve (Site 1 and 2, see Supplemental Information section for description of sites). Turbidity measures the scattering effect that suspended solids have on light: the higher the intensity of scattered light, the higher the turbidity. Data were collected using an ECO-NTU (Nephelometric Turbidity Units) Scattering Sensor (version NTU 4.06) placed on the marsh surface within 0-5 m of the marsh-estuarine shoreline. The intent was to measure water turbidity for tidal flood waters. Supplemental_Information: USGS scientists collected sediment samples and shore profiles from Grand Bay, Alabama/Mississippi during a total of 6 surveys from October 2016 to October 2017 (USGS Field Activity Numbers [FAN] 16CCT07, 17CCT01, 17CCT02, 17CCT03, 17CCT04, and 17CCT05). Samples were collected from 4 survey sites, which host a variety of depositional and eroding environments, including eroding marsh edges, tidal creeks, and sheltered estuarine environments. Site 1 is located at the mouth of Bayou Heron, the main access channel for Grand Bay. Site 2 is located on an eroding marsh edge in the south-western portion of the Bay. Site 3 is a protected marsh edge in the north western portion, located in Middle bay, and Site 4 is located along a large tidal channel in the far south-western area of the survey extent. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20161022 Ending_Date: 20170503 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: As needed Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -88.41443 East_Bounding_Coordinate: -88.39625 North_Bounding_Coordinate: 30.38386 South_Bounding_Coordinate: 30.36241 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:de9a49a7-0a3e-41d7-ad53-a9352b7f49e4 Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: elevation Theme_Keyword: marsh Theme_Keyword: global positioning system Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: coastal processes Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: oceans Theme_Keyword: environment Theme_Keyword: elevation Theme_Keyword: geoscientificInformation Theme_Keyword: location 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: datum Stratum_Keyword: water Temporal: Temporal_Keyword_Thesaurus: None Temporal_Keyword: October 2016 - October 2017 Access_Constraints: None Use_Constraints: The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research. This metadata record should be reviewed in its entirety to ensure specific data are suitable for other studies. These data should not be used for navigational purposes. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey St Petersburg Coastal and Marine Science Center Contact_Person: Kathryn Smith Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Contact_Voice_Telephone: 727-502-8073 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kelsmith@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: 17CCT01_NTU_Site1_graph.html Browse_Graphic_File_Description: Line graph of water levels and turbidity for 17CCT01 Site 1 as a Hypertext Markup Language (HTML) file Browse_Graphic_File_Type: HTML Browse_Graphic: Browse_Graphic_File_Name: 17CCT01_NTU_Site2_graph.html Browse_Graphic_File_Description: Line graph of water levels and turbidity for 17CCT01 Site 2 as a Hypertext Markup Language (HTML) file Browse_Graphic_File_Type: HTML Browse_Graphic: Browse_Graphic_File_Name: 17CCT02_NTU_Site1_graph.html Browse_Graphic_File_Description: Line graph of water levels and turbidity for 17CCT02 Site 1 as a Hypertext Markup Language (HTML) file Browse_Graphic_File_Type: HTML Browse_Graphic: Browse_Graphic_File_Name: 17CCT02_NTU_Site2_graph.html Browse_Graphic_File_Description: Line graph of water levels and turbidity for 17CCT02 Site 2 as a Hypertext Markup Language (HTML) file Browse_Graphic_File_Type: HTML 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. 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 Version 1709 (Build 16299.431); Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A); R Version 3.6.1 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 sediment plate construction, deployment, collection, and laboratory processing. Online_Linkage: https://scholarcommons.usf.edu/etd/7371/ Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: The ECO-NTU backscatter sensor was located on the surface of the marsh approximately 0-5 m from the marsh-estuarine shoreline with the intent of collecting turbidity data associated with the ebb and flow of GNDNERR tidal waters. Due to the nature of water level variability from tides and climatic conditions, only some of the data logged would represent actual water turbidity measurements. Turbidity data must be linked with water level data to determine relevance. Data in this data release include raw, uncleaned sensor data and calculated turbidity values. Processed data are only as accurate as the field measurements and calibration tests performed prior to deployment. A non-linear median filter was used to remove data spikes. Wrack build-up (organic material deposited during high tide) on the sensor caused data anomalies at Site 2. ECO-NTU backscatter sensors have a count accuracy of +/-5. Sensors were calibrated in January 2014 . No accuracy tests were conducted. Logical_Consistency_Report: Data reflect measurements of light backscatter collected from an optical sensor. Turbidity measurement is qualitative and cannot be correlated directly as suspended solids without further calibration or field measurements. Data were examined on a graph with water level data to determine which measurements are consistent with the presence of flood waters. No fidelity checks were performed. Completeness_Report: This dataset includes turbidity data collected from Grand Bay Mississippi from October 2016 to May 2017 (USGS FANs 17CCT01 and 17CCT02). Turbidity data were not collected for the remainder of 2017 (USGS FANs 17CCT03, 17CCT04, and 17CCT05). This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details. In some cases, sensor malfunctions or significant errors caused data loss or erroneous values for some sites or FANs. Graphical data representations are provided to aid in identifying problematic data. Lineage: Process_Step: Process_Description: At Sites 1 and 2, ECO-NTU Scattering Sensors were attached to a fiberglass grid platform, which was secured to the marsh surface using weighted rebar stakes. Sensors were placed approximately 0-5 m from the marsh-estuarine shoreline. Sensor serial number, latitude-longitude location (using a Garmin eTrex 10 Global Positioning System), and sensor height above the marsh surface were recorded. A Solinst LTC (level, temperature, conductivity) logger (model M10/M20) was also installed at each site to record water levels. The sensor located at Site 1 (Serial Number [No.] NTU-507) was located at approximately N 30.38353, W 88.39645 (decimal degrees World Geodetic Survey 1984 [WGS84]) at 2.9 m from the shoreline and 10 centimeters (cm) above the marsh surface. Site 2’s sensor (Serial No. NTU-434) was located at N 30.37086, W 88.39799 at 4.5 m from the shoreline and 9 cm above the marsh surface. Sensors were retrieved after 3 months (October 2016 to January 2017), downloaded and reprogrammed for an additional 3 months (January to May 2017) resulting in a total of approximately 6 months of data. During each visit to Site 2, wrack was discovered on top of the sensor during recovery and may account for anomalies observed in the data. Process_Date: 2017 Source_Produced_Citation_Abbreviation: FAN_meanNTU_site#.csv and FAN_NTU_Site#_graph.html Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kathryn 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: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: kelsmith@usgs.gov Process_Step: Process_Description: Raw data files were imported into the R software environment (version 3.6.1, https://www.r-project.org). Turbidity data were graphed with water-level data to determine when water height was above the elevation of the marsh surface, indicating the marsh surface was submerged with flood water and the ECO-NTU sensor was logging water data. Data logged when the sensor was dry were deleted and NTU was calculated from backscatter counts using second order polynomial calibration equations that were determined in the laboratory from the Hach 4000 NTU Formazin dilution series during sensor calibration checks. Calibration of counts (x) to NTU (y) for the sensor at Site 1 (serial no. 507) was calculated as y = 3.86E-07 x^2 + 6.06E-02 x - 2.66. The equation for Site 2 (serial no. 434) was calculated as y = 7.17E-07 x^2 + 6.03E-02 x - 2.62. A median filter was used to remove data spikes and mean NTU was calculated for each "burst" using the date-time stamp. Data were exported into comma-delimited format with date-time, water level, and calculated NTU. Source_Used_Citation_Abbreviation: FAN_ntu434_Site#.txt or FAN_ntu507_Site#.txt Process_Date: 2017 Source_Produced_Citation_Abbreviation: FAN_meanNTU_siteA.csv and FAN_ntuXXX_siteA_graph.html Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kathryn 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: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: kelsmith@usgs.gov Process_Step: Process_Description: Added keywords section with USGS persistent identifier as theme keyword. Process_Date: 20201013 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: VeeAnn A. Cross Contact_Position: Marine Geologist Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: 508-548-8700 x2251 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: Grand_Bay_Turbidity_Data.zip Entity_Type_Definition: Compressed file containing attribute information associated with turbidity data collected in Grand Bay, Mississippi, during 2016 and 2017. Entity_Type_Definition_Source: USGS Attribute: Attribute_Label: date.time Attribute_Definition: Date and time Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Date and time in YYYY-MM-DD HH:MM:SS format Attribute: Attribute_Label: water.level Attribute_Definition: Water level elevation from NOAA Buoy #8740166 Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.43 Range_Domain_Maximum: 0.693 Attribute_Units_of_Measure: meters, North American Vertical Datum 1988 Attribute: Attribute_Label: ntu Attribute_Definition: Water turbidity Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.371 Range_Domain_Maximum: 520.307 Attribute_Units_of_Measure: Nephelometric Turbidity Units (NTU) Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey St Petersburg Coastal and Marine Science Center Contact_Person: Kathryn Smith Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Contact_Voice_Telephone: 727-502-8073 Contact_Facsimile_Telephone: 727-502-8182 Contact_Electronic_Mail_Address: kelsmith@usgs.gov Resource_Description: Grand_Bay_Turbidity_Data.zip Distribution_Liability: This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: text Format_Specification: .txt, .csv File_Decompression_Technique: Unzip Transfer_Size: 2.6 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9BFR2US/data/Grand_Bay_Turbidity_Data.zip Fees: None. No fees are applicable for obtaining the dataset. Metadata_Reference_Information: Metadata_Date: 20201013 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey St Petersburg Coastal and Marine Science Center Contact_Person: Kathryn Smith Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Contact_Voice_Telephone: 727-502-8047 Contact_Facsimile_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: kelsmith@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time