David M. ThompsonRangley C. Mickey20250121tabular digital dataDavid M. ThompsonRangley C. Mickey20250121U.S. Geological Survey data releasedoi:10.5066/P9L8Z7C7St. Petersburg, FloridaU.S. Geological Survey - St. Petersburg Coastal and Marine Science Centerhttps://doi.org/10.5066/P9L8Z7C7On May 21, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210521.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.The purpose of this dataset is to provide sea turtle nesting decision points and topographic profile data in support of a project attempting to assess sea turtle nesting response on nourished beaches. The project was done in collaboration with U.S. Fish and Wildlife Service (USFWS), Florida Fish and Wildlife Conservation Commission (FWC) and the University of South Florida (USF). To ensure that SPCMSC data management protocols were followed, this survey was assigned a USGS field activity number (FAN), 2021-315-FA. Additional survey and data details are available on the Coastal and Marine Geoscience Data System (CMGDS) at https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-315-FA.20210521ground conditionCompleteNone planned-80.06145597-80.0504145226.9073777626.87492729USGS Metadata IdentifierUSGS:d20540b1-b5eb-4441-95cb-ea0d91db9ef2ISO 19115 Topic CategorygeoscientificInformationelevationoceansGlobal Change Master Directory (GCMD)EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATIONEARTH SCIENCE > OCEANS > COASTAL PROCESSES > BEACHESPROVIDERS > GOVERNMENT AGENCIES-U.S. FEDERAL AGENCIES > DOI > USGS > DOI/USGS/CMGData Categories for Marine PlanningdistributionselevationMarine Realms Information Bank (MRIB) Keywordsbeachtopographic mappingaltimetryGlobal Navigation Satellite System (GNSS) observationsUSGS Thesaurustopographygeologygeomorphologymarine geologyNoneU.S. Geological SurveyUSGSSt. Petersburg Coastal and Marine Science CenterSPCMSCCoastal and Marine Hazards and Resources ProgramCMHRPelevation dataGNSS measurementCommon Geographic AreasUnited StatesSouth AtlanticFloridaNone2021NonePublic domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center as the originator of these data in future products or derivative research.U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterDavid M. Thompsonmailing and physical

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Saint PetersburgFL33701UNITED STATES727-502-8079dthompson@usgs.govFunding and support for this study were provided by the National Fish and Wildlife Foundation (NFWF). This document was improved by scientific/editorial and metadata reviews from Nancy T. Dewitt and Tess Rivenbark-Terrano of the St. Petersburg Coastal and Marine Science Center (SPCMSC).Environment as of Metadata Creation: Microsoft Windows 10 Enterprise Version 10.0.18363 (Build 18363); NovAtel’s Waypoint GNSS Post Processing Software Version 8.7; Mathworks MATLAB R2020aHenderson (Hehre), Rachel E.Hapke, Cheryl J.Brenner, Owen T.Reynolds, B.J.201609271.1U.S. Geological Survey Data Series931Reston, VirginiaU.S. Geological Surveyhttps://doi.org/10.3133/ds931Brown, Jennifer A.Birchler, Justin J.Thompson, David M.Long, Joseph W.Seymour, Alexander C.201803145.0U.S. Geological Survey data releasedoi:10.5066/F7T43S94St. Petersburg, FloridaU.S. Geological Survey - St. Petersburg Coastal and Marine Science Centerhttps://doi.org/10.5066/F7T43S94Plant, Nathaniel G.Holland, Todd K.Puleo, Jack A.20021120Marine GeologyVolume 191, Issues 1-2Amsterdam, NetherlandsElsevier B.V.Pages 71-86https://doi.org/10.1016/S0025-3227(02)00497-8Cross-shore profiles were quality checked for accuracy by comparing elevations where cross-shore transects and turtle crawl paths overlapped. The turtle crawl paths are not included in this data release.Cross-shore profiles were quality checked for consistency by comparing elevations to previous or subsequent surveys of transects nearby.This survey included twenty-four transects through turtle nesting decision points. 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.The horizontal accuracy of the post-processed kinematic GNSS data is +/- 2 centimeters (cm), based on the accuracy of the Florida Permanent Reference Network (FPRN) Continuously Operating Reference Station (CORS) used to post-process the data.The vertical accuracy of the post-processed kinematic GNSS data is +/- 3 cm, based on the accuracy of the FPRN CORS used to post-process the data.PLANNING Sea turtle nesting decision points, either nest or apex of false crawl (no nest), were identified and marked by FWC contractors on the morning of the survey.20210521U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterRangley C. MickeyPhysical Scientistmailing and physical

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Saint PetersburgFL33701703-648-6674rmickey@usgs.govACQUISITION Transect lines were surveyed on foot by a person equipped with a GNSS receiver and antenna affixed to a SECO© surveying backpack. Transects started at the water’s edge, continued through either the turtle nest or the false crawl apex and into the dune until vegetation stopped the surveyor. The surveyor stopped for approximately 10 seconds (s) at either the nest or the apex of the false crawl, while walking the transect, making it easier to subsequently identify those locations during the DATA PROCESSING step. Kinematic GNSS data were recorded at 10 Hertz (Hz) with an Ashtech ProFlexTM 800 GNSS receiver and an Ashtech GNSS survey antenna.20210521U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterRangley C. MickeyPhysical Scientistmailing and physical

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Saint PetersburgFL33701703-648-6674rmickey@usgs.govGNSS DATA POST-PROCESSING Raw kinematic GNSS data recorded on the surveying receiver were post-processed using GrafNav (NovAtel’s Waypoint GNSS Post Processing Software) version 8.7 to achieve the maximum horizontal position and elevation data accuracies. The kinematic GNSS data recorded by the surveying receiver were processed in NAD83 geographic coordinates to concurrent static GNSS data recorded by a local base station of known position (NAD83). The base station used was the FPRN, (https://www.fdot.gov/Geospatial/fprn.shtm) site at West Palm Beach, Florida (site name = PBCH). The final, differentially corrected, precise GNSS positions were exported from GrafNav in American Standard Code for Information Interchange (ASCII) text format as projected horizontal coordinates in NAD83, UTM Zone 17N, and vertical coordinates in NAVD88, GEOID12B. These post-processing steps are similar to those reported in Henderson and others (2016), the difference being that this survey utilized FPRN-CORS reference station data while Henderson and others (2016) established and collected data from their own reference station.20210524U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterRangley C. MickeyPhysical Scientistmailing and physical

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Saint PetersburgFL33701703-648-6674rmickey@usgs.govDATA PROCESSING Beach profile horizontal position and elevation data for each transect and nesting decision point location (nest or apex of false crawl) were extracted from the post-processed GNSS data using the MathWorks MATLAB R2020a computing environment. First, the elevation data were adjusted by subtracting the elevation of the GNSS antenna above the ground. This measurement is taken while the backpack is attached to the surveyor and measured from the antenna reference point (ARP) to the ground (1.78 meters (m)). The elevation data were then smoothed in the cross-shore direction using a moving 0.5 m wide Hanning filter (Plant and others, 2002) to reduce vertical noise resulting from the walking motion of the surveyor. Next, the data were quality-controlled to remove invalid data points by eliminating points identified as having poor GNSS data quality by GrafNav, visually inspecting horizontal position plots and discarding points not on the cross-shore beach profile lines, and visually inspecting elevation plots and discarding erroneous GNSS data (for example, large spikes in the elevation data). The 0.5 m wide Hanning filter and quality control steps were chosen to be consistent with previous data releases of this type (e.g. Brown and others, 2018). In some cases, there was not enough usable data to define a profile or the decision point so those transect/decision point data were excluded. Lastly, the data were interpolated onto an evenly spaced 0.10 m cross-shore transect. The final beach profile data were written to individual text files (.xyz) in tabular format, with columns representing: 1) Easting (NAD83, UTM Zone 17N), 2) Northing (NAD83, UTM Zone 17N), and 3) Orthometric Elevation (NAVD88, GEOID12B). The data processing methods described here closely follow those developed by Brown and others (2018). The naming convention of the transects and nesting decision points is as follows: LOC_YYMMDD_SS_T#, where LOC is a three letter abbreviation of the location (MEL = Melbourne, SHU = South Hutchinson, JEN = Jensen, JUP = Jupiter, and JUN = Juno), YYMMDD is the date, SS is the turtle species (Cc for Caretta caretta, Loggerhead sea turtle; Cm for Chelonia mydas, Green sea turtle; and Dc for Dermochelys coriacea, Leatherback sea turtle), T is the type of crawl (N = Nest and FC = False Crawl), and # is the transect/decision point number mapped on that survey date. The decision point locations were written to a comma-separated values (.csv) file containing the same naming convention as the profiles and the x, y, and z coordinates.20211213U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterDavid M. ThompsonPhysical Scientistmailing and physical

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Saint PetersburgFL33701727-502-8079dthompson@usgs.govPointPoint12936Universal Transverse Mercator170.9996-81.00.0500000.00.0coordinate pair0.5010.536metersNorth American Datum 1983Geodetic Reference System 806378137.000000298.257222101North American Vertical Datum 19880.0001metersAttribute valuesJuno_20210521.zipProcessed beach profile and turtle nesting decision point data collected May 21, 2021, at Juno Beach, Florida. The profile data (location and elevation) are provided in individual .xyz files and the combined range domains of all the profiles collected this day are detailed below. The nesting decision point data (location and elevation of nest or apex of false crawl) are provided in .csv format.U.S. Geological Surveyx_UTMEastingUTM x-coordinate (NAD83, UTM Zone 17N)U.S. Geological Survey593196.576594319.699metersy_UTMNorthingUTM y-coordinate (NAD83, UTM Zone 17N)U.S. Geological Survey2972935.4602976522.087metersz_elevNAVD88Orthometric elevation z-coordinate (NAVD88, GEOID12B)U.S. Geological Survey-0.0764.257meterscrawl_idFilename of the beach profile (.xyz) files. This field is only present in the decision points (.csv) file.U.S. Geological SurveyLOC_YYMMDD_SS_T#: LOC is a three-letter abbreviation of the location (MEL = Melbourne, SHU = South Hutchinson, JEN=Jensen, JUP=Jupiter, and JUN = Juno), YYMMDD is the date, SS is the turtle species (Cc for Caretta caretta, Loggerhead sea turtle; Cm for Chelonia mydas, Green sea turtle; and Dc for Dermochelys coriacea, Leatherback sea turtle), T is the type of crawl (N = Nest and FC = False Crawl), and # is the transect/decision point number mapped on that survey date.U.S. Geological Survey, St Petersburg Coastal and Marine Science CenterUSGS SPCMSC Data Managementmailing and physical

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Saint PetersburgFL33701United States727-502-8000gs-g-spcmsc_data_inquiries@usgs.govJUN_210521_Cc_N1.xyz, JUN_210521_Cc_FC2.xyz, JUN_210521_Cc_FC3.xyz, JUN_210521_Cc_FC4.xyz, JUN_210521_Cc_N5.xyz, JUN_210521_Cc_FC6.xyz, JUN_210521_Cc_N7.xyz, JUN_210521_Cc_FC8.xyz, JUN_210521_Cc_FC9.xyz, JUN_210521_Cc_N11.xyz, JUN_210521_Cc_FC12.xyz, JUN_210521_Cc_N13.xyz, JUN_210521_Cc_FC14.xyz, JUN_210521_Cc_N15.xyz, JUN_210521_Cc_N16.xyz, JUN_210521_Cc_N17.xyz, JUN_210521_Cc_N18.xyz, JUN_210521_Cc_FC19.xyz, JUN_210521_Cc_N20.xyz, JUN_210521_Cc_FC21.xyz, JUN_210521_Cc_FC22.xyz, JUN_210521_Cc_FC23.xyz, JUN_210521_Cc_FC24.xyz, and Juno_20210521_decisionPoints.csvThis 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.columnar text, comma-delimited textZIPhttps://coastal.er.usgs.gov/data-release/doi-P9L8Z7C7/data/Juno_20210521.zipNone20250117U.S. Geological Survey, St. Petersburg Coastal and Marine Science CenterUSGS SPCMSC Data Managementmailing and physical

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Saint PetersburgFL33701727-502-8000gs-g-spcmsc_data_inquiries@usgs.govContent Standard for Digital Geospatial MetadataFGDC-STD-001-1998NoneNone