Christopher G. Smith Kathryn E.L. Smith Joseph M. Vargas Joseph F. Terrano 20230605 2.0 tabular digital data Kathryn E.L. Smith Joseph F. Terrano Jonathan Pitchford Michael Brochard Joseph M. Vargas Isabelle D. Atchia Cheyenne S. Everhart Christopher G. Smith 20200713 2.0 Multimedia presentation U.S. Geological Survey data release doi:10.5066/P9ONI8PS St. Petersburg, FL U.S. Geological Survey - St.Petersburg Coastal and Marine Science Center https://doi.org/10.5066/P9ONI8PS 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 from a related NST study in the GNDNERR (Middle Bay and North Rigolets) can be found in Smith and others (2020). Data collected after the living shoreline (subtidal sill) installation can be found in Terrano and others (2025). 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. This dataset, Grand_Bay_RBR_Wave_Data.zip, includes tidal activity measurements obtained from two sampling locations in Grand Bay, Mississippi. Two RBRsolo3 sensors were used to measure sensor depth, significant wave height, significant wave period, 1/10 wave height, 1/10 wave period, maximum wave height, maximum wave period, average wave height, average wave period, and wave energy. This data was acquired to help researchers better understand the tidal activity in the region. 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 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. 20190415 1600 20200128 1330 Ground condition Complete As needed -88.449757 -88.396209 30.429843 30.335728 USGS Metadata Identifier USGS:cf713019-77f1-4e03-a5a9-420433de5a9c ISO 19115 Topic Category environment oceans geoscientificinformation USGS Thesaurus hydrogeology geology ocean sciences coastal processes datasets field inventory and monitoring ocean waves None water level depth ocean wave measurement U.S. Geological Survey USGS U.S. Geological Survey St. Petersburg Coastal and Marine Science Center SPCMSC significant wave height significant wave period wave energy None Grand Bay National Estuarine Research Reserve NERR Common Geographic Areas Gulf of Mexico United States Mississippi 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. U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Christopher G. Smith Research Geologist Mailing and physical

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St. Petersburg FL 33701 US (727) 502-8035 cgsmith@usgs.gov 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 RBR 2020 Ottawa, Ontario RBR Contains detailed process for sensor maintenance, data collection and processing using the Ruskin software. https://rbr-global.com/support/documentation Kathryn E.L. Smith Joseph F. Terrano Nicole S. Khan Chelsea A. Stalk 20200226 St. Petersburg, Florida U.S. Geological Survey https://doi.org/10.5066/P9BFR2US Joseph F. Terrano Alisha M. Ellis Kathryn E.L. Smith Jonathan Pitchford Michael Archer Joseph M. Vargas Jonathan P. Griffiths Samuel M. Randall Matthew Virden Cheyenne S. Everhart Eric Sparks 20250527 St. Petersburg, Florida U.S. Geological Survey hhttps://doi.org/10.5066/P13VT3ET Kathryn E.L. Smith Jonathan L. Pitchford Eric L. Sparks Michael J. Archer Matthew F. Virden Joseph F. Terrano Christopher G. Smith 20250612 Estuaries and Coasts Volume 48, Article 128 Online Springer Nature https://doi.org/10.1007/s12237-025-01564-7 The pressure values reported in Grand_Bay_RBR_Wave_Data.zip were recorded by two RBRsolo3 (Firmware version 1.041) sensors with an accuracy of ±0.05% (RBR 2020). All other measurements were derived from internal calculations from the sensor. This dataset includes FAN, alternate FAN, time, burst, depth, significant wave height, significant wave period, 1/10 wave height, 1/10 wave period, maximum wave height, maximum wave period, average wave height, average wave period, and wave energy from the following trips: 2019-319-FA, 2019-303-FA (19CCT03 and 19CCT04), and 2020-301-FA (20CCT01). 2019-319-FA was not assigned an alternate FAN and is represented as NaN. Data was collected in 30-minute intervals. There are 13,305 rows of data for RBR s/n 42048 and 13,408 rows of data for RBR s/n 42049. This are complete, uncorrected wave data files for data collected within the Grand Bay National Estuarine Research Reserve, Mississippi. Instrument altitude (length of seabed to the pressure transducer) was measured and can be used to post-process data and correct for depth. Data were removed from the file when the RBR was recording measurements out of the water. These data files are considered complete unless otherwise noted by null data values. All data should be checked for accuracy before use. Two RBRsolo3 sensors were used to record wave parameters. RBR s/n 42048 was installed in the estuary between NST Sites 5 and 6 (30.35188496, -88.44801589) and RBR s/n 42049 was installed in the estuary between NST Sites 7 and 8 (30.3414136, -88.44618433). Locations are in the North American Datum of 1983 Universal Transverse Mercator Zone 16 North coordinate system. Before the first deployment in April 2019 (FAN: 2019-319-FA), each sensor was programmed, using the Ruskin software package, to record at 30-minute intervals with a sampling speed of 4 hertz (Hz) and a sampling duration of 1024 counts. The sampling duration does not relate to the number of rows of data the sensor will report, but instead is the length of data collection per measurement. The sensors were wrapped in electrical tape and copper foil to prevent biofouling. A two-meter stainless steel pipe was pushed 1.5 m into the estuary's seabed, leaving 50 centimeters (cm) for the sensor to be attached. The RBR was attached so pressure transducers faced the seabed. The sensor altitude (height from the seafloor to the pressure transducer) was collected for later use in post-processing. For 2019-319-FA, the sensor altitude for RBR 42048 was 14 cm and RBR 42049 was 11.5 cm. Sensor locations were recorded using a real time kinematic global positioning service receiver (RTK GPS) then left to record data for one month. 2019 U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Christopher G. Smith Research Ecologist Mailing and physical

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St. Petersburg FL 33701 U.S. (727) 502-8035 cgsmith@usgs.gov After the initial deployment in April 2019, the RBRs were collected in May 2019. Before removing the sensor, a measurement of the sensor altitude was collected to ensure it did not move during the deployment. The RBRs were then removed from the stainless steel pipe to download the data as a text (.txt) file, clean any biofouling, swap the batteries/desiccant/o-rings, and program the sensors for redeployment. 2020 U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Christopher G. Smith Research Ecologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 U.S. (727) 502-8035 cgsmith@usgs.gov During FANs 2019-303-FA (19CCT03 and 19CCT04), and 2020-301-FA (20CCT01) each sensor was programmed to record at 30-minute intervals. The RBRs sampling duration was set to 4096 counts with a sampling speed of 4 hertz (Hz). The sampling duration does not relate to the number of rows of data the sensor will report, but instead is the length of data collection per measurement. The sensors were wrapped in electrical tape and copper foil to prevent biofouling and were deployed for three-month intervals. The serial numbers were matched with the corresponding locations to ensure consistency between device and location. The RBR was attached so pressure transducers faced the seabed. The sensor altitude (height from the seafloor to the pressure transducer) was collected for later use in post processing. 2020 U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Christopher G. Smith Research Ecologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 U.S. (727) 502-8035 cgsmith@usgs.gov As part of the final QA/QC process, extraneous data recorded pre- and post-deployment (during periods of time when the sensor was collecting data out of the water) were removed and field names were edited for clarity and consistency with publishing standards. Data from all four trips were converted from .txt to .csv files and combined to make one comprehensive data file for each sensor. 2020 U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Christopher G. Smith Research Ecologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 U.S. (727) 502-8035 cgsmith@usgs.gov Version 2.0 update: The no data values in the Grand_Bay_RBR_42028_Wave_Data.csv and Grand_Bay_RBR_42029_Wave_Data.csv were changed from "---" to "NaN", and the distribution contact person was changed to Christopher G. Smith. 20230215 U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center Joseph F. Terrano Physical Scientist Mailing and physical

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St. Petersburg FL 33701 U.S. (727) 502-8047 jterrano@usgs.gov Universal Transverse Mercator 16 0.9996 -87.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 Meter D_North_American_1983 GRS_1980 6378137.0 298.257222101 Grand_Bay_RBR_Wave_Data.zip This file contains CSV files with RBR wave data collected between April 2019 and January 2020 from two sampling sites located in the Grand Bay National Estuarine Research Reserve, Mississippi. Data were collected using two RBRsolo3 sensors (s/n 42048 and s/n 42049). USGS FAN USGS field activity number (FAN) assigned to each sample collection trip. USGS Character string. Each field visit was assigned a FAN by the USGS SPCMSC to assist with dataset tracking. It uses the naming convention YYYY-XXX-FA, where YYYY represents the year of field activity, XXX represents the numbered trip, and FA denotes field activity. FANs were used to describe the entire field effort of a project, so alternate FANs were used to differentiate between quarterly sampling trips. Alternate FAN Alternate (abbreviated) FAN number assigned each collection trip. USGS Character string. Alternate FAN numbers were assigned by the USGS as YYCCTXX, where YY is the 2-digit year, CCT stands for coastal change and transport, and XX is the trip number. No alternate FAN was created for 2019-319-FA; consequently, these empty fields are populated with “NaN" within the CSV files. Date.Time Date in the M/DD/YYYY, MM/D/YYYY, M/D/YYYY or MM/DD/YYYY format and Coordinated Universal Time (UTC) in the H:MM or HH:MM format. Data were collected in 30-minute intervals. USGS 4/15/2019 16:00 1/28/2020 13:30 Burst The number of the recorded measurement. USGS 1 4695 Sensor depth (m) The sensor depth is a derived internal calculation from the pressure measurement. It was recorded in meters (m) to yield the depth of the sensor. USGS 0.0012 1.4886 meters (m) 0.0001 Significant wave height (m) The mean wave height of the highest one-third of waves measured during the sampling period. Measured in meters (m). USGS 0.0000 0.5281 meters (m) 0.0001 Significant wave period (s) The mean period associated with the highest one-third of waves. Measured in seconds (s). USGS 0.6904 53.8472 seconds (s) 0.0001 1/10 wave height (m) The height of the highest 10% of waves. Measured in meters (m). USGS 0.0018 0.5957 meters (m) 0.0001 1/10 wave period (s) The mean period associated with the highest 10% of waves. Measured in seconds (s). USGS 0.6507 126.6 seconds (s) 0.0001 Maximum wave height (m) Maximum height of the wave. Measured in meters (m). USGS 0.0026 0.7662 meters (m) 0.0001 Maximum wave period (s) Period representative of the highest waves encountered during the sampling period. Measured in seconds (s). USGS 0.0500 459.25 seconds (s) 0.0001 Average wave height (m) The average height of waves during the sampling period. Measured in meters (m). USGS 0.0010 0.3700 meters (m) 0.0001 Average wave period (s) Average period of waves during the sampling period. Measured in seconds (s). USGS 0.7257 20.8724 seconds (s) 0.0001 Wave energy (j/m2) Average energy of waves. Measured in joules per meter squared (j/m2). USGS 0.0026 204.0471 joules per square meter (j/m2) 0.0001 Detailed attribute descriptions for the supplemental information file (Supplemental_RBR_Data.csv) are provided in the included data dictionary (Supplemental_info_data_dictionary.docx). These metadata are not complete without this file. Supplemental information includes the FAN, sensor serial number, deployment/retrieval dates, sensor altitudes at deployment/retrieval, seafloor elevation collected using an RTK, and location (latitude/longitude). Supplemental_RBR_Data.csv and Supplemental_info_data_dictionary.docx in Terrano and others, 2020, RBR sensor wave data for two sites in the coastal marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from April 2019 through January 2020, https://doi.org/10.5066/P9ONI8PS. U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

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Saint Petersburg FL 33701 United States 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov Grand_Bay_RBR_42028_Wave_Data.csv, Grand_Bay_RBR_42029_Wave_Data.csv 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. Comma-delimited text 1.0 .csv Unzip 0.871 https://coastal.er.usgs.gov/data-release/doi-P9ONI8PS/data/Grand_Bay_RBR_Wave_Data.zip None, if obtained online None 20250618 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

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Saint Petersburg FL 33701 United States 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None