Julie C. Bernier Cheyenne S. Everhart Daniel J. Ciarletta Nancy T. DeWitt Jennifer L. Miselis 20240708 Julie C. Bernier Cheyenne S. Everhart Daniel J. Ciarletta Nancy T. DeWitt Jennifer L. Miselis 20240708 U.S. Geological Survey data release doi:10.5066/P14L5SVG St. Petersburg, FL U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center https://doi.org/10.5066/P14L5SVG In 2021, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted ground penetrating radar (GPR) and sediment sampling surveys on barrier islands located along the central Florida Gulf Coast (CFGC), Pinellas County, Florida (FL). This study investigated the past evolution of the CFGC from field sites at Anclote Keys, Caladesi and Honeymoon Islands, and Fort DeSoto to quantify changes that occurred along these barrier systems prior to the 20th century. This data release serves as an archive of sedimentologic data from vibracores collected from back-barrier environments at Dutchman Key (DK), Anclote Key (AK), Caladesi Island (CI), Honeymoon Island (HI), Cabbage Key (CK), St. Jean Key (SJK), and Mullet Key (MK) study sites on February 19 and May 11-13, 2021 (USGS Field Activity Number 2021-308-FA). GPR data collected during the same survey are available as a separate data release (Forde and others, 2023). Sedimentologic data from these cores, including descriptive core logs and grain-size data, are provided to characterize and date shallow subsurface stratigraphic units including beach, dune, and washover deposits. Samples selected for Optically Stimulated Luminescence (OSL) dating were analyzed at the USGS Luminescence Dating Laboratory (Denver, Colorado); those results are available as a separate data release. These data were targeted according to the methods outlined by Ciarletta and others (2023), with sediment cores positioned to investigate interpretations of barrier-island evolution from surface morphology. Acquisition of sediment cores and analyses of core lithology and grain size follow the methods of Buster and others (2018), with modifications for high-resolution photography after Ciarletta and others (2023). Data were collected during USGS FAN 2021-308-FA. Additional survey and data details are available on the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-308-FA. 20210219 20210513 ground condition Complete None planned -82.71787 -82.84847 28.18783 27.62816 USGS Metadata Identifier USGS:11f59ca9-28a3-4d5b-bb31-88c76ccfe9c8 ISO 19115 Topic Category geoscientificInformation location oceans USGS Thesaurus geology sedimentology unconsolidated deposits field sampling drilling and coring grain-size analysis carbon-14 analysis luminescence dating coastal processes Data Categories for Marine Planning distributions Marine Realms Information Bank (MRIB) Keywords coastal processes effects of coastal change stratigraphic characterization and correlation sediment analysis geologic dating None vibracore GRADISTAT mean sorting skewness kurtosis Folk and Ward U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP St. Petersburg Coastal and Marine Science Center SPCMSC 2021-308-FA Geographic Names Information System (GNIS) State of Florida Pinellas County Dutchman Key Anclote Key Caladesi Island Honeymoon Island Cabbage Key Saint Jean Key Mullet Key None. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research. Users are advised to read the metadata record thoroughly to understand appropriate use and data limitations. U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center Julie C. Bernier Geologist Mailing and Physical

600 4th Street South

St. Petersburg FL 33701 727-502-8000 jbernier@usgs.gov Funding and (or) support for this study were provided by the USGS Coastal and Marine Hazards and Resources Program. The authors thank Joshua Marano of the National Park Service Everglades National Park for his assistance with data collection. This document was improved by scientific and metadata reviews by Noreen Buster and Breanna Williams (SPCMSC). Environment as of Metadata Creation: macOS Ventura version 13.6.6; Microsoft Excel for Mac version 16.83 (24031120); Microsoft Windows 10 Enterprise version 22H2 (Build 19045.4170); Microsoft Excel version 2308 (Build 16731.20636); National Geodetic Survey (NGS) Online Positioning User Service (OPUS, https://geodesy.noaa.gov/OPUS/); Esri ArcGIS Pro version 3.2.1; Google Earth Pro version 7.3.6.9796; Rockware LogPlot 8 version 2022.1.31; GNU Image Manipulation Program (GIMP) version 2.10; The Panorama Factory version 4.5; ImageJ version 1.53k; Adobe Illustrator 2024 version 28.1; GRADISTAT version 9; Matlab version R2021A; Phil Harvey’s ExifTool version 12.84 (https://exiftool.org/). Arnell S. Forde Julie C. Bernier Noreen A. Buster Daniel J. Ciarletta Jennifer L. Miselis 20240312 U.S. Geological Survey data release doi:10.5066/P9NV5NAP St. Petersburg, FL U.S. Geological Survey https://doi.org/10.5066/P9NV5NAP Daniel J. Ciarletta Jennifer L. Miselis Julie C. Bernier Arnell S. Forde Shannon A. Mahan 202303 Proceedings of the Coastal Sediments 2023 New Orleans, LA, USA, 11-15 April 2023 Hackensack, NJ World Scientific Publishing Pages 1-11 https://doi.org/10.1142/9789811275135_0001 Noreen A. Buster Julie C. Bernier Owen T. Brenner Kyle W. Kelso Thomas M. Tuten Jennifer L. Miselis 2018 U.S. Geological Survey Data Series 1100 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ds1100 Beckman Coulter 201110 https://www.beckmancoulter.com/wsrportal/techdocs?docname=B05577AB.pdf Simon J. Blott Kenneth Pye 20010928 Version 8.0 Earth Surface Processes and Landforms Volume 26, Issue 11 Pages 1237-1248 http://www.kpal.co.uk/gradistat.html https://doi.org/10.1002/esp.261 Robert L. Folk William C. Ward 19570301 Journal of Sedimentary Petrology Volume 27, No. 1 Pages 3-26 https://doi.org/10.1306/74D70646-2B21-11D7-8648000102C1865D William C. Krumbein 19340801 Journal of Sedimentary Petrology Volume 4, No. 2 Pages 65-77 https://doi.org/10.1306/D4268EB9-2B26-11D7-8648000102C1865D Chester K. Wentworth 1922 Journal of Geology Volume 30, No. 5 Pages 377-392 https://www.jstor.org/stable/30063207 Robert L. Folk 195407 Journal of Geology Volume 62, No. 4 Pages 344-359 https://doi.org/10.1086/626171 Core locations were obtained by either (a) Differential Global Positioning System (DGPS) Real Time Kinetic (RTK) corrections during data collection or (b) processing the raw position data during data collection (core site SJK1) through NGS OPUS. Due to the assumption of grain sphericity of the Fraunhofer optical model used by the Coulter LS13 320 particle-size analyzer (PSA) for grain-size analysis, angular particles are measured by their longest axis (Beckman Coulter, 2011). When enough thin, angular material is present, the LS13 320 output files often report a percentage of the grain size distribution within the 1-2-millimeter (mm) fraction, despite all samples being sieved at 1 mm before analysis. The grain-size data represent the sample averages for a subset of the statistical parameters calculated by GRADISTAT (Blott and Pye, 2001). The number of runs included in the averaged results are reported, and the standard deviation of the averaged results are reported for most parameters. A secondary data review determined that all grain-size data reported met the laboratory’s quality control requirements. Beckman Coulter control standard G15 (15 microns [µm]) was analyzed on the Coulter LS13 320 particle-size analyzer before all sediment samples were analyzed and Beckman Coulter control standard GB500 (500 µm) was analyzed approximately every 3 days to validate instrument performance (Beckman Coulter, 2011). Position and elevation data at each core site were recorded with a Spectra Precision SP80 DGPS receiver and Global Navigation Satellite System (GNSS) antenna. Grain-size sample runs in the GRADISTAT output files for which the mean Folk and Ward (1957) grain-size varied from the set average by more than 1.5 standard deviations were not included in final averaged results. Dataset is considered complete for the information presented, as described in the abstract. This data release includes the geographic locations, site elevations, core descriptions, core photos, and grain-size data (127 samples) from 11 vibracores collected from Dutchman Key, Anclote Key, Caladesi Island, Honeymoon Island, Cabbage Key, St. Jean Key, and Mullet Key study sites, Pinellas County, FL on February 19 and May 11-13, 2021 (USGS Field Activity Number 2021-308-FA). Position and elevation associated with each core site was determined by either (a) DGPS RTK corrections during data collection or (b) processing the raw position data during data collection through OPUS (core site SJK1). For RTK occupations, the reported horizontal accuracy ranged from 0.008 meters (m) to 0.018 m; at SJK1, the OPUS-derived estimated horizontal accuracy was 0.007 m. Position and elevation associated with each core site was determined by either (a) DGPS RTK corrections during data collection or (b) processing the raw position data during data collection through OPUS (core site SJK1). For RTK occupations, the reported vertical accuracy ranged from 0.011 to 0.030 m and the VDatum-reported transformation uncertainty was 0.076 m; at SJK1, the OPUS-derive estimated vertical accuracy was 0.038 m. Vibracore acquisition- Vibracores were collected using an 8-horsepower Briggs and Stratton motor connected via an 8.5-meter-long (27.9-foot-long) shaft to a Dreyer 2 1/8-inch (5.4 centimeter [cm]) concrete vibrator head. The vibrator was attached to a 7.6-cm (3-inch) diameter aluminum core barrel using a clamp, and the core barrel was vibrated into the subsurface until refusal. Measurements were taken on the inside and outside of the core barrel prior to extraction to determine the amount of compaction, which is the difference between the recovered core length and the total depth the core barrel penetrated below the sediment surface. After extraction, each core was capped, sealed, and labeled with the core number and orientation. All cores were transported to the SPCMSC core laboratory for processing and analysis. Position and elevation data at each vibracore site were recorded using a Spectra Precision SP80 DGPS receiver and GNSS antenna receiving RTK corrections from the Florida Permanent Reference Network (FPRN) real-time network. RTK x,y positions were acquired in the Florida State Plane coordinate system and transformed to the North American Datum of 1983 (NAD83) Universal Transverse Mercator Zone 17 North (UTM 17N) coordinate system using NGS VDatum software. RTK elevations were acquired as Florida State Plane ellipsoid heights and transformed to North American Vertical Datum 1988 (NAVD88) orthometric elevations, derived using the GEOID18 (G18) geodetic model. For SJK1, the raw position data were processed through OPUS. The OPUS-derived x,y coordinates were reported in NAD83, UTM 17N, and the OPUS-derived elevations were reported as NAVD88 G18 orthometric elevations. Core information was compiled into a comma-separated values file (.csv) and Microsoft Excel Worksheet (.xlsx) for inclusion in this data release. The 2021-308-FA_CoreSites.csv table was converted to a point shapefile (.shp) using the 'Table To Point Feature Class' geoprocessing tool in ArcGIS Pro to produce a geographic representation of the core sites. A non-proprietary version of the shapefile was created by converting the shapefile to a keyhole markup language (.kml) file in Google Earth Pro. These geospatial files can be found in 2021-308-FA_CoreSites.zip. 2021 2021-308-FA_CoreSites.csv 2021-308-FA_CoreSites.xlsx 2021-308-FA_CoreSites.shp 2021-308-FA_CoreSites.kml Julie C. Bernier U.S. Geological Survey Geologist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 jbernier@usgs.gov Vibracore processing- At the SPCMSC core laboratory, each vibracore was split lengthwise, photographed, described macroscopically using standard sediment-logging methods, and subsampled for grain-size analysis and age control. Because samples were collected for OSL dating, care was taken not to expose the sediment to light. Core splitting and sampling was conducted in the dark with only a photographer's red lamp and the sample half of each core was wrapped in lightproof material for storage prior to subsampling. The archive half of each core was photographed in approximately 20- to 25-cm overlapping segments with a Nikon D80 digital camera with a 70 mm zoom lens using consistent (manually programmed) settings with autofocus from a fixed height. The raw images were white-balanced using GNU Image Manipulation Program (GIMP) software, cropped to the same extent (to remove areas outside of the core barrel), and "stitched" together using The Panorama Factory software, providing seamless high-resolution whole-core images. Textural descriptions for the core logs are based on macroscopic observations. Sediment color is based on the Munsell soil color system (https://munsell.com/color-products/color-communications-products/environmental-color-communication/munsell-soil-color-charts/). Descriptive core logs were compiled using Rockware LogPlot 8 software, edited in Adobe Illustrator, and exported as Joint Photographic Experts Group (JPEG) images. Core photo and core log images are included in the 2021-308-FA_CorePhotos.zip and 2021-308-FA_CoreLogs.zip files of this data release. Grain-size and age-control samples consisted of 2-cm sections sampled at varying intervals down-core depending on the number and thickness of the observed sedimentologic units. Samples collected for OSL dating were placed in lightproof film canisters, labeled, and sent to the USGS Luminescence Dating Laboratory (Denver, Colorado) for analysis. 2022 2021-308-FA-*.jpg Julie C. Bernier U.S. Geological Survey Geologist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 jbernier@usgs.gov Grain-size PSA analysis- At the SPCMSC sediment laboratory, grain-size analyses were performed using a Coulter LS13 320 (https://www.beckmancoulter.com/) PSA. The LS13 320 uses laser diffraction to measure the size distribution of sediments from 0.4 µm to 2 mm, encompassing clay to very coarse-grained sand. To prevent large shell fragments from damaging the instrument, particles greater than 1 mm in diameter (coarse sand) were separated from all samples prior to analysis using a number 18 (1 mm) U.S. standard sieve, which meets the American Society for Testing and Materials (ASTM) E11 standard specifications for determining particle size using woven-wire test sieves. Two subsamples from each sample were processed through the instrument a minimum of four runs each. Once introduced into the LS13 320, the sediment in the sample well was sonicated with a sonicator wand for 30 seconds (s) to separate any aggregates before starting the first run for both subsamples. The LS13 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. Light is scattered by the particles into characteristic refraction patterns measured by an array of photodetectors as intensity per unit area and recorded as relative volume for 92 size-related channels (bins). 2022 Cheyenne S. Everhart U.S. Geological Survey Physical Scientist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 ceverhart@usgs.gov Grain-size processing- The raw grain-size data was run through the free software GRADISTAT version 9, (Blott and Pye, 2001; kpal.co.uk/gradistat), which calculates the mean, sorting, skewness and kurtosis of each sample geometrically, in metric units, and logarithmically, in phi (Φ) units (Krumbein, 1934), using the Folk and Ward (1957) scale. The raw (run) LS13 320 output files for all samples were compiled by GRADISTAT during import; those raw data are included in this data release for advanced users in the file 2021-308-FA_GrainSizeData.zip. GRADISTAT also reports the descriptive sediment texture after Folk (1954) and calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand) based on a modified Wentworth (1922) size scale. A macro function in Microsoft Excel, developed by the USGS SPCMSC, was applied to the data to calculate average and standard deviation for each sample set (8 runs per sample), and highlight runs that varied from the set average by more than ±1.5 standard deviations. Excessive deviations from the mean are likely the result of equipment error or extraneous organic material in the sample and are not considered representative of the sample. The highlighted runs were removed from the results and the sample average was recalculated using the remaining runs. The averaged (summary) results for all samples are included as a tab in a Microsoft Excel workbook (2021-308-FA_GrainSizeStats.xlsx) and as a comma-separated values (2021-308-FA_GrainSize_SumStats.csv) data file. The raw LS13 320 run data are also included as tabs (separated by core) in an Excel workbook (2021-308-FA_GrainSize_RunData.xlsx) and as a comma-separated values (2021-308-FA_GrainSize_RunData.csv) data file. 2022 2021-308-FA_GrainSizeStats.xlsx 2021-308-FA_2021-308-FA_GrainSize_SumStats.csv 2021-308-FA_GrainSize_RunData.xlsx 2021-308-FA_GrainSize_RunData.csv Cheyenne S. Everhart U.S. Geological Survey Physical Scientist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 ceverhart@usgs.gov Grain-size sieve analysis- To evaluate the contribution of particles larger than 1 mm in diameter (coarse sand), a subsample of each sediment sample was also analyzed by sieving. The sediment was passed through a stack of sieves with progressively smaller openings using the assistance of a mechanical sieve shaker to determine grain-size distribution. U.S. standard sieves numbers 230 (63 µm), 120 (125 µm), 60 (250 µm), 35 (500 µm), 18 (1 mm), and 10 (2 mm) were used, which meet the ASTM E11 standard specifications for determining particle size using woven-wire test sieves. All dry sieve data was reported as a percent fraction of the total bulk dry weight of each sample subset. The results for all samples are included as a tab in an Excel workbook (2021-308-FA_GrainSizeStats.xlsx) and as a comma-separated values (2021-308-FA_GrainSize_SieveStats.csv) data file. 2022 2021-308-FA_GrainSizeStats.xlsx 2021-308-FA_2021-308-FA_GrainSize_SieveStats.csv Cheyenne S. Everhart U.S. Geological Survey Physical Scientist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 ceverhart@usgs.gov Grain-size plots- The results of the sieve analyses (very coarse sand and gravel classes) were merged with the LS13 320 averaged results (coarse sand, medium sand, fine sand, very fine sand, and mud classes) for each sample in Microsoft Excel and re-normalized to 100%. The down-core grain-size distributions were plotted in Matlab and exported as a JPEG image (included with 2021-308-FA_GrainSizeData.zip), with the cores sorted from north to south. 2024 2021-308-FA_GrainSizeDistributions.jpg Julie C. Bernier U.S. Geological Survey Geologist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 jbernier@usgs.gov Populating image headers- Additional metadata information were added to the exchangeable image file format (EXIF) and other imagery headers of each image using Phil Harvey’s ExifTool. The images were grouped by image type (core logs and photographs) into separate folders: 2021-308-FA_CoreLogs (11 images) and 2021-308-FA_CorePhotos (17 images). All information in the scripts were the same among all images, aside from the EXIF:ImageDescription, EXIF:DateTimeOriginal, EXIF:GPSLatitude and EXIF:GPSLongtitude information, as that information varies for each core. A separate script containing that header information was run on each image individually to populate those headers (see the third script). Image header information was also populated for 2021-308-FA_GrainSizeDistributions.jpg in 2021-308-FA_GrainSizeData.zip. However, since this image details grain-size distributions for all collected cores, the third script was not used, along with removing EXIF:GPSMapDatum and EXIF:GPSAreaInformation in the second script. First, the following command was run on all images in a folder to preserve filenames: exiftool -P "-XMP:PreservedFileName<Filename" *.jpg. Second, the following command was run on all images in a folder to populate the first set of headers. exiftool -IPTC:Credit="U.S. Geological Survey" -IPTC:Contact="gs-g-spcmsc_data_inquiries@usgs.gov" -EXIF:Copyright="Public Domain" -XMP:UsageTerms="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." -XMP:AttributionURL="https://doi.org/10.5066/P14L5SVG" -XMP:Event="2021-308-FA" -EXIF:GPSAreaInformation="Location of core collection site, GPS coordinates are in NAD83" -XMP:ExternalMetadataLink="https://data.usgs.gov/datacatalog/metadata/USGS:11f59ca9-28a3-4d5b-bb31-88c76ccfe9c8.xml" -EXIF:GPSMapDatum="NAD83" *.jpg Third, the following command was run on each image in the folder to populate the unique image headers for each core. This example is for the 2021-308-FA-MK1 core photograph: exiftool -EXIF:ImageDescription="https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-308-FA; Core photograph for 2021-308-FA-MK1." -EXIF:GPSLatitude="27.62816" -EXIF:GPSLatitudeRef="N" -EXIF:GPSLongitude="82.73466" -EXIF:GPSLongitudeRef="W" -EXIF:DateTimeOriginal="2021:02:19 00:00:00" 2021-308-FA-MK1.jpg Fourth, the following command run on all images in a folder to copy information into duplicate tags: exiftool -P "-XMP-photoshop:Credit<IPTC:Credit" "-XMP-iptcCore:CreatorWorkEmail<IPTC:Contact" "-XMP-dc:Rights<EXIF:Copyright" "-XMP-dc:Description<EXIF:ImageDescription" "-XMP-exif:all<GPS:all" "-XMP-photoshop:DateCreated<EXIF:DateTimeOriginal" "-EXIF:GPSDateStamp<EXIF:DateTimeOriginal" -overwrite_original *.jpg To read out the imagery header information for a set of images to a .csv file, run the following command after connecting to the unzipped folder containing the images: exiftool -csv *.jpg > allheaders.csv Specific tags may be specified with this command, if preferred. 2024 2021-308-FA_CorePhotos.zip 2021-308-FA_CoreLogs.zip 2021-308-FA_GrainSizeDistributions.jpg Julie C. Bernier U.S. Geological Survey Geologist mailing and physical address

600 4th Street South

St. Petersburg FL 33701 (727) 502-8000 jbernier@usgs.gov Vector String 11 Universal Transverse Mercator 17 0.9996 -81.0 0 500000.0 0.0 Coordinate pair 0.001 0.001 Meters North American Datum 1983 Geodectic Reference System 80 6378137.0 298.257222101 North American Vertical Datum 1988 0.001 meter Attribute values 2021-308-FA_CoreSites.csv, 2021-308-FA_CoreSites.xslx, 2021-308-FA_CoreSites.shp, 2021-308-FA_CoreSites.kml Files containing the site locations and core parameters for 2021-308-FA vibracores. Files are provided in Microsoft Excel (.xlsx), comma-separated values (.csv), Esri shapefile (.shp), and Keyhole Markup Language (.kml) formats in the file 2021-308-FA_CoreSites.zip. USGS FID Internal feature number Esri Sequential unique whole numbers that are automatically generated. Attribute included only in the shapefile. Shape Feature geometry Esri Geometry type defining the features. Attribute included only in the shapefile. CoreID Core identification number. USGS Character string using the following convention: FAN-XX#, where the FAN is 2021-308-FA, and XX# is the unique core abbreviation and site number (AltID). For example, 2021-308-FA-MK1. AltID Alternate site identification information. USGS Character string for the unique core abbreviation and site number, XX#. For example, MK1. Location1 General description of site location. USGS Anclote Keys The core site was located at Anclote Keys, Pinellas County, FL. USGS Honeymoon and Caladesi Islands The core site was located at Honeymoon or Caladesi Island, Pinellas County, FL. USGS Fort DeSoto The core site was located at Fort DeSoto, Pinellas County, FL. USGS Location2 Localized description of site location. USGS Dutchman Key The core was collected at Dutchman Key, Pinellas County, FL. USGS Anclote Key The core was collected at Anclote Key, Pinellas County, FL. USGS Caladesi Island The core was collected at Caladesi Island, Pinellas County, FL. USGS Honeymoon Island The core was collected at Honeymoon Island, Pinellas County, FL. USGS Cabbage Key The core was collected at Cabbage Key, Pinellas County, FL. USGS St Jean Key The core was collected at St. Jean Key, Pinellas County, FL. USGS Mullet Key The core was collected at Mullet Key, Pinellas County, FL. USGS DateColl Date the core was collected, written as DD-MON-YYYY (2-digit day, 3-letter month, 4-digit year). USGS 19-Feb-2021 13-May-2021 NAD83_Lat Latitude of site location, in decimal degrees relative to the North American Datum of 1983 (NAD83). USGS 27.62816 28.18783 Decimal degrees 0.00001 NAD83_Lon Longitude of site location, in decimal degrees (NAD83). USGS -82.84847 -82.71787 Decimal degrees 0.00001 NAD83_Ell Ellipsoid height of site location, in meters. USGS -25.953 -22.899 Meters 0.001 NAD83_X X-coordinate (easting) of site location, in meters (NAD83, UTM 17N). USGS 318532.796 330508.410 Meters 0.001 NAD83_Y Y-coordinate (northing) of site location, in meters (NAD83, UTM 17N). USGS 3057215.052 3119382.482 Meters 0.001 NAVD88_G18 Elevation (orthometric height) of site location, in meters relative to the North American Vertical Datum of 1988 (NAVD88) defined using the GEOID18 geoid model. USGS -0.858 1.443 Meters 0.001 Length_cm Vibracore length, in centimeters. USGS 139 439 Centimeters 0.5 Penetration_cm Depth vibracore penetrated below the sediment surface, in centimeters. This is equal to core length plus core compaction. Due to Character limitations, this is shortened to "Penetratio" in .shp and .kml files. USGS 289 535 Centimeters 0.5 Compaction_cm Vibracore compaction, in centimeters. This represents the difference between the recovered core length and the total depth the core barrel penetrated below the sediment surface and is calculated by taking measurements on the inside and outside of the core barrel prior to extraction. Due to Character limitations, this is shortened to "Compaction" in .shp and .kml files. USGS 51 290 Centimeters 0.5 2021-308-FA_GrainSize_RunData.xlsx, 2021-308-FA_GrainSize_RunData.csv Raw LS13 320 output listing the class weight retained in each aperture bin as a percent of the total sample weight. Files are provided in Microsoft Excel (.xlsx) and comma-separated values (.csv) formats. Data for each core are separated by tabs in the .xlsx file. USGS Sample Identity: Sample identification name USGS Character string containing the sample identification information and set number. Analyst: Last name of the person analyzing the sample on the laser diffraction Coulter LS13 320 particle-size analyzer. USGS Everhart Cheyenne Everhart of the USGS SPCMSC conducted the analysis of the sample. USGS Date: Date and time the sample was analyzed in MM/DD/YYYY HH:MM:SS AM/PM format. Beckman Coulter LS13 320 Software 6/25/2021 10:07:00 AM 7/28/2022 02:36:00 PM Aperture (microns) Coulter software bin aperture, in microns Beckman Coulter LS13 320 Software 0.375 2000 Class Weight Retained (%) The percent of that class weight retained of the total sample for the given bin aperature Beckman Coulter LS13 320 Software 0 14 2021-308-FA_GrainSizeData.zip- Summary LS13 320 and sieve grain-size data for vibracore sediment samples. Files are provided in Microsoft Excel (.xlsx) and comma-separated values (.csv) formats (2021-308-FA_GrainSize_SumStats.csv, 2021-308-FA_GrainSize_SieveStats.csv, 2021-308-FA_GrainSizeStats.xlsx). The averaged results for all samples, including the number of runs used and the standard deviation of the averaged results are provided. Values of "N/A" (not applicable) in the sieve data indicate samples that were digested with 30% hydrogen peroxide to remove organic matter and, therefore, were not sieved. For full entity and attribute details, please refer to the accompanying data dictionary, 2021-308-FA_GrainSize_DataDictionary.docx. The 2021-308-FA_GrainSizeStats.xlsx file contains a copy of the data dictionary as well as the summary LS13 320 and sieve data, separated by tabs. These metadata are not complete without the data dictionary file. 2021-308-FA_CorePhotos.zip and 2021-308-FA_CoreLogs.zip- JPEG images containing high-resolution photos and descriptive logs for each core. Additional metadata (credit, contact information, copyright, usage terms, image descriptions, attribution url, metadata link, and georeferencing information) were added to the EXIF and other imagery headers of each core log image using Phil Harvey’s ExifTool. Please view the imagery headers within each file for more information. 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. U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov 2021-308-FA_GrainSize_SumStats.csv, 2021-308-FA_GrainSize_SieveStats.csv, 2021-308-FA_GrainSizeStats.xlsx, 2021-308-FA_GrainSize_RunData.xlsx, 2021-308-FA_GrainSize_RunData.csv, 2021-308-FA_CoreSites.csv, 2021-308-FA_CoreSites.xslx, 2021-308-FA_CoreSites.shp, 2021-308-FA_CoreSites.kml, 2021-308-FA-*.jpg, 2021-308-FA_GrainSizeDistributions.jpg, 2021-308-FA_GrainSize_DataDictionary.docx This publication was prepared by an agency of the United States Government. Although these data were 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. comma-delimited text, Microsoft Excel format, Microsoft Word format, JPEG, KML, shapefile https://coastal.er.usgs.gov/data-release/doi-P14L5SVG/data/2021-308-FA_CoreSites.zip https://coastal.er.usgs.gov/data-release/doi-P14L5SVG/data/2021-308-FA_CoreLogs.zip https://coastal.er.usgs.gov/data-release/doi-P14L5SVG/data/2021-308-FA_CorePhotos.zip https://coastal.er.usgs.gov/data-release/doi-P14L5SVG/data/2021-308-FA_GrainSizeData.zip None. No fees are applicable for obtaining the dataset. All spreadsheets were created in Microsoft Excel for Mac; these data are also provided as comma-separated values (.csv) text files. Core locations are also provided as geographic information system (GIS) data files in Esri shapefile (.shp) and Keyhole Markup Language (.kml) formats. These files may also be viewed with software such as QGIS (https://www.qgis.org/en/site/, 2024), Google Earth (https://earth.google.com/, 2024), or other GIS software capable of importing the data. Core logs, core photos, and grain-size distribution plots are provided in Joint Photographic Experts Group (.jpg) format. Image metadata (exif and other imagery headers) for the JPEG images can be read using Phil Harvey’s ExifTool (https://exiftool.org/). 20240708 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998