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 five marsh study sites (Sites 5, 6, 7, 8, and 9) and four nearshore estuarine study sites (Sites 8S, 8D, 9S, 9D) along the Point Aux Chenes Bay shoreline of the Grand Bay National Estuarine Research Reserve (GNDNERR), Mississippi. This study builds on Smith and others (2020b) and includes datasets collected after the installation of a living shoreline (a subtidal sill [artificial reef]) that was completed in May 2021. Each marsh 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 three to 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 August 2021 to January 2023. 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 (via loss-on-ignition [LOI]). For select sampling periods, ancillary data (water level, elevation, and vegetation) are also provided in this data release. The estuarine sites consisted of Site 8S (shallow; landward of the subtidal sill), 8D (deep; seaward side of the subtidal sill), as well as 9S and 9D (both sites established adjacent to 8S/8D and the subtidal sill). During select trips water parameters (e.g., waves, water level, and turbidity) were collected at each estuarine site to collect turbidity and wave data. Data presented in this data release were collected under three USGS Field Activities Numbers (FAN; one FAN per year) during thirteen sampling trips (alternate FAN; each sampling trip was assigned a unique alt FAN under the main FAN): 2021-320-FA (21CCT01, 21CCT03, 21CCT04, 21CCT05), 2022-302-FA (22CCT01, 22CCT02, 22CCT03, 22CCT04, 22CCT05, 22CCT06, 22CCT07, 22CCT08) and 2023-301-FA (23CCT01), however, every trip does not contain all data types. This data release also contains data for 2020-323-FA (20CCT02) that was collected as a special collection trip for Hurricane Delta. This data was collected before the subtidal sill was installed and is being published with this data release since pre-subtidal sill data was already published. 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/. Users can look up USGS FANs in the CMGDS by replacing the FAN in the following url:
https://cmgds.marine.usgs.gov/services/activity.php?fan=2022-302-FA. Data from a related NST study in the GNDNERR (Middle Bay and North Rigolets) can be found in Smith and others (2020a). Data collected from before the living shoreline (subtidal sill) installation can be found in Smith and others (2020b). For additional information on data processing and analysis, refer to the accompanying journal publication Smith and others (2025). Please read the full metadata for details on data collection, dataset variables, and data quality.
Purpose:
This dataset includes In-Situ Aqua TROLL 600 (henceforth referred to as Aqua TROLL) data obtained from four estuarine locations in Grand Bay, Mississippi. Sensors with and without pressure (depth) were used during this study. The Aqua TROLL 600 sensors measured conductivity, salinity, resistivity, turbidity, dissolved oxygen, temperature, and pressure (depth, if equipped). An In-Situ Rugged BaroTROLL (henceforth referred to as BaroTROLL) was also deployed near the sites to collect barometric data used in post processing.
Supplemental_Information:
USGS scientists collected data from Aqua TROLL 600 sensors during a total of eight surveys. The general site locations were: 8S (30.3370, -88.4462), 8D (30.3359, -88.4441), 9S (30.3353, -88.4471), and 9D (30.3337, -88.4449). The BaroTROLL was deployed nearby at the GNDNERR office (30.4291, -88.4278). Data were downloaded following field visits. Each field visit was assigned a FAN and shortened alternate FAN (alt-FAN) by the USGS. This publication contains data for field activities from: 2022-302-FA (22CCT02, 22CCT03, 22CCT04, 22CCT05, 22CCT06, 22CCT07, 22CCT08) and 2023-301-FA (23CCT01). The deployment date and time, retrieval date and time, location, sensor serial number, and depth at retrieval can all be found in "AquaTroll_RBR_sensor_info.csv". The data are displayed in a comma-separated values (CSV) text file format. Due to sensor malfunction, some data may be missing from data files. BaroTROLL data was merged with the Aqua TROLL data and is published as a column in "AquaTroll_compiled_data.csv".
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:b74c9faa-e723-4bc5-82f3-3e4f52b12ff1
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: turbidity
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: Aqua TROLL
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Grand Bay National Estuarine Research Reserve
Place_Keyword: NERR
Place:
Place_Keyword_Thesaurus: Geographic Names Information System
Place_Keyword: State of Mississippi
Place_Keyword: Point Aux Chenes
No access constraints. Please see 'Distribution Information' for details.
These data are marked with a Creative Common CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
The authors would like to acknowledge the GNDNERR staff for their contributions in collecting and reviewing this data.
Environment as of Metadata Creation: Microsoft Windows 10 Enterprise Version 22H2 (Build 19045.3324, Windows Feature Experience Pack 1000.19041.1000.0); Microsoft Excel for Microsoft 365 MSO (Version 2302, Build 16.0.16130.20806, 32-bit); In-Situ software packages Win-Situ 5 (version 5.7.8.0; desktop) or Vu-Situ (version 1.25.12; mobile)