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:
This dataset, Grand_Bay_RBR_Data.zip, contains water parameter and tidal data obtained from two sampling locations in Grand Bay, Mississippi. Two RBRsolo3 sensors were used to measure tidal slope, atmospheric/sea pressure, and sensor depth. Wave data collected by RBRSolo2 sensors are also provided in this data release within the download file, Grand_Bay_RBR_Wave_Data.zip. These data were acquired to help researchers better understand the tidal activity in the region.
Supplemental_Information:
USGS scientists collected data from RBR sensors during a total of four surveys from April 2019 to January 2020. Data were downloaded during quarterly field visits. Each field visit was assigned a FAN and sub-FAN by USGS staff. This publication contains data for field activities from: 1) 2019-319-FA (April 2019-May 2019), 2) 2019-303-FA (19CCT03, May 2019-August 2019; 19CCT04, August 2019-November 2019), 3) 2020-301-FA (20CCT01, November 2019-January 2020). RBR serial number (s/n) 42048 was located between NST Sites 5 and 6 (30.35188496, -88.44801589), RBR s/n 42049 was located between NST Sites 7 and 8 (30.3414136, -88.44618433). The data are displayed in a comma-separated values (CSV) text file format. Additional sensor details (deployment dates, sensor altitudes) can be found in the supplemental file (Supplemental_RBR_Data.csv) and associated data dictionary, provided within the data download file.
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:9d6d79e0-4337-4e21-b631-8bf4c30d1609
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: hydrogeology
Theme_Keyword: geology
Theme_Keyword: ocean sciences
Theme_Keyword: coastal processes
Theme_Keyword: datasets
Theme_Keyword: field inventory and monitoring
Theme_Keyword: ocean waves
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: water level
Theme_Keyword: depth
Theme_Keyword: ocean wave measurement
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: tidal slope
Theme_Keyword: RBR
Theme_Keyword: sea pressure
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
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.
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.
Environment as of Metadata Creation: Microsoft Windows 10 Enterprise Version 17763.1098 (Build 1809); Ruskin Version 2.9.9
Citation_Information:
Originator: Kathryn E.L. Smith
Originator: Joseph F. Terrano
Originator: Nicole S. Khan
Originator: Chelsea A. Stalk
Publication_Date: 2020
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
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