U.S. Geological Survey 20210929 1.0 vector digital data data release DOI:10.5066/P9J3CVN4 Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Hazards and Resources Program https://doi.org/10.5066/P9J3CVN4 https://www.sciencebase.gov/catalog/item/614a7c8fd34e0df5fb9756e1 Meredith G. Kratzmann Amy S. Farris Kathy M. Weber Rachel E. Henderson Emily A. Himmelstoss 2021 1.0 vector digital data data release DOI:10.5066/P9J3CVN4 Reston, VA U.S. Geological Survey suggested citation: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4 https://doi.org/10.5066/P9J3CVN4 https://www.sciencebase.gov/catalog/item/612cf2a3d34e40dd9c08844b During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The U.S. Geological Survey (USGS) Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms. Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic coasts of Florida and the coast of Georgia. Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software. The shoreline positions and updated shoreline change rates provide actionable information to homeowners, coastal communities, and managers of public and private properties to improve resiliency for long-term hazards. Georgia (GA): The Georgia dataset includes shorelines from 161 years ranging from 1855 to 2016. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)) and lidar (USGS/NOAA/National Aeronautics and Space Administration (NASA), NOAA/U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX)). Florida east coast (FLec): border with GA to Key Biscayne The FLec dataset includes shorelines from 166 years ranging from 1851 to 2017. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/Florida Department of Environmental Protection (FLDEP)), aerial photographs (FLDEP/USGS), and lidar data (USGS/NASA, USACE/Federal Emergency Management Agency (FEMA), NOAA/USACE NCMP). Florida west coast (FLwc): Anclote Key to Barefoot Beach The FLwc dataset includes shorelines from 159 years ranging from 1858 to 2017. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/FLDEP), aerial photographs (FLDEP/USGS), and lidar data (USGS/NASA, USACE/FEMA, NOAA/USACE NCMP). Florida panhandle (FLph): Bald Point State Park to the Alabama border The FLph dataset includes shorelines from 163 years ranging from 1855 to 2018. Shorelines were compiled from topographic survey sheets (T-sheets; NOAA, NOAA/FLDEP), aerial photographs (FLDEP), and lidar data (USGS/NASA, USACE/FEMA, NOAA/USACE NCMP). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change in support of the U.S. Geological Survey's Coastal Change Hazards programmatic focus to maintain a national scale database of shoreline positions and rates. Long-term and short-term shoreline change rates were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 5. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step. 1858 2017 ground condition Complete None planned -82.852570 -81.682230 28.215572 25.847017 ISO 19115 Topic Category geoscientificInformation oceans environment None Baseline Shoreline Shoreline Change Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center WHCMSC National Oceanic and Atmospheric Administration NOAA National Aeronautics and Space Administration NASA U.S. Army Corps of Engineers USACE Joint Airborne Lidar Bathymetry Technical Center of eXpertise JALBTCX Florida Department of Environmental Protection FLDEP Federal Emergency Management Agency FEMA Mean High Water MHW High Water Line HWL USGS Thesaurus geospatial datasets coastal processes USGS Metadata Identifier USGS:614a7c8fd34e0df5fb9756e1 None Atlantic Coast Gulf Coast United States North America Georgia Florida None Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset. These data are not to be used for navigation. U.S. Geological Survey Meredith G. Kratzmann mailing and physical

384 Woods Hole Road

Woods Hole MA 02543-1598 USA 508-548-8700 508-457-2310 mkratzmann@contractor.usgs.gov https://www.sciencebase.gov/catalog/file/get/614a7c8fd34e0df5fb9756e1?name=BG_FLwc_shorelines.jpg Map view of data jpg Microsoft Windows 10 Enterprise; Esri ArcGIS 10.7.1 Meredith G. Kratzmann 2022 Data Report 1156 Reston, VA U.S. Geological Survey Data Report associated with this data release: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS national shoreline change-A GIS compilation of updated vector shorelines (1800s - 2010s) and associated shoreline change data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4. https://doi.org/10.3133/dr1156 Emily A. Himmelstoss Amy S. Farris Rachel E. Henderson Meredith G. Kratzmann Ayhan Ergul Ouya Zhang Jessica L. Zichichi 2018 software release version 5 Reston, VA U.S. Geological Survey Current version of software at time of use was 5.1 https://doi.org/10.5066/P9VW42I0 https://code.usgs.gov/cch/dsas/ https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Emily A. Himmelstoss Rachel E. Henderson Meredith G. Kratzmann Amy S. Farris 2018 publication Open-File Report 20181179 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20181179 https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Emily Himmelstoss Meredith Kratzmann E. Robert Thieler 2017 Data release doi:10.5066/F74X55X7 Reston, VA U.S. Geological Survey https://doi.org/10.5066/F74X55X7 Emily Himmelstoss Meredith Kratzmann E. Robert Thieler 2017 Data release doi:10.5066/F78P5XNK Reston, VA U.S. Geological Survey https://doi.org/10.5066/F78P5XNK Emily Himmelstoss Meredith Kratzmann E. Robert Thieler 2017 Open-File Report 2017-1015 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20171015 Robert A. Morton Tara L. Miller 2005 Open-File Report 2005-1401 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20051401 Tara L. Miller Robert A. Morton Asbury H. Sallenger 2005 Open-File Report 2005-1326 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20051326 Robert A. Morton Tara L. Miller Laura J. Moore 2004 Open-File Report 2004-1043 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20041043 Tara L. Miller Robert A. Morton Asbury H. Sallenger Laura J. Moore 2004 Open-File Report 2004-1089 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20041089 Peter Ruggiero Jeffrey H. List 200909 publication Journal of Coastal Research vol. 255 n/a Coastal Education and Research Foundation pp. 1069-1081 https://doi.org/10.2112/08-1051.1 Amy S. Farris Kathryn M. Weber Kara S. Doran Jeffrey H. List 2018 Open-File Report 2018–1121 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20181121 National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS) Unknown NOAA shoreline manuscripts (T-sheets) n/a Washington, D.C. National Oceanic and Atmospheric Administration https://shoreline.noaa.gov/data/datasheets/t-sheets.html Kathryn M. Weber Jeffrey H. List Karen L.M. Morgan 2005 Open-File Report 2005-1027 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20051027 The data provided here are a compilation of shorelines from multiple sources, spanning >150 years. The attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software and have gone through a series of quality assurance procedures. Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were quality checked for accuracy. Any slight offsets between adjacent segments due to georeferencing and digitizing error are taken into account in the uncertainty of the shoreline position, as reported in the horizontal accuracy section of this metadata file. This shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the Florida west coast (FLwc) coastal region where shoreline position data were available. These data adequately represented the shoreline position at the time of the survey. Remaining gaps in these data, if applicable, are a consequence of non-existing data or existing data that did not meet quality assurance standards. The digitized shoreline vectors downloaded from NOAA included attributes defining the shoreline type (attribute field name varies by file). For the open-ocean coasts, only shoreline features (Natural.Mean High Water; SPOR; 20) were retained. Other shoreline features (such as seawalls, bulkheads, manmade objects) were deleted. The horizontal accuracy of the shoreline data varies with respect to the data source from which the shorelines were digitized, the lidar data from which the shorelines were extracted, and the time period. Georgia and Florida: Shorelines prior to 1960 (T-sheets) have an estimated positional uncertainty of plus or minus 10.8 meters. Shorelines from the 1960s-1980s (T-sheets) have an estimated positional uncertainty of plus or minus 5.1 meters. Shorelines from the 1950s-1970s (FLDEP, air photos) have an estimated positional uncertainty of plus or minus 3.2 meters. See below for average estimated uncertainty values for shorelines extracted from lidar. All lidar shorelines new to the FL/GA dataset have uncertainty recorded on a segment-by-segment basis in the attribute table (i.e., all except 1998/2001 and 1999 which are from data releases doi:10.5066/F74X55X7 and doi:10.5066/F78P5XNK, 2017). See the Uncy field in the shoreline attribute table for individual values. GEORGIA (GA; average estimated positional uncertainty of lidar shorelines): 1999 = plus or minus 4.4 meters 2006 = plus or minus 3.2 meters 2010 = plus or minus 4.2 meters 2016 = plus or minus 5.5 meters FLORIDA EAST COAST (FLec; average estimated positional uncertainty of lidar shorelines): 1999 = plus or minus 2.8 meters 2006 = plus or minus 1.9 meters 2009 = plus or minus 1.8 meters 2010 = plus or minus 2.7 meters 2016 = plus or minus 2.8 meters 2017 = plus or minus 2.9 meters FLORIDA WEST COAST (FLwc; average estimated positional uncertainty of lidar shorelines): 1998 = plus or minus 1.7 meters 2010 = plus or minus 2.2 meters 2015 = plus or minus 2.0 meters 2017 = plus or minus 2.2 meters FLORIDA PANHANDLE (FLph; average estimated positional uncertainty of lidar shorelines): 1998/2001 = plus or minus 1.4 meters 2010 = plus or minus 2.6 meters 2015 = plus or minus 1.7 meters 2016 = plus or minus 1.0 meters 2018 = plus or minus 2.7 meters National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS) Unknown https://shoreline.noaa.gov/data/datasheets/t-sheets.html digital data 1851 1980 ground condition T-sheet shorelines T-sheets used for QA/QC of NOAA-digitized 1800s-1980s shorelines and/or used as data source to digitize shorelines. National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA) 20000101 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/48152 digital data 1998 1998 ground condition 1998 gulf coast lidar Lidar data that were used to extract a shoreline. National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA) 20000101 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/48158 digital data 1999 1999 ground condition 1999 east coast lidar Lidar data that were used to extract a shoreline. U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA) 2009 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/50098 digital data 2001 2001 ground condition 2001 gulf coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 20061114 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/50057 digital data 2006 2006 ground condition 2006 east coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 2018 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/54218 digital data 2009 2009 ground condition 2009 FL Atlantic Coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 2017 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/50093 digital data 2010 2010 ground condition 2010 Southeast coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 2018 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/54215 digital data 2010 2010 ground condition 2010 FL Gulf coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 201109 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/50083 digital data 2010 2010 ground condition 2010 AL/FL Gulf coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 20161215 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/49720 digital data 2015 2015 ground condition 2015 FL Gulf coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 20170215 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/49616 digital data 2016 2016 ground condition 2016 Southeast coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 20161215 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/49722 digital data 2016 2016 ground condition 2016 FL east coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP)/Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) 20170913 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/49738 digital data 2016 2016 ground condition 2016 Gulf coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA) 20171002 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/49723 digital data 2017 2017 ground condition 2017 FL east coast lidar Lidar data that were used to extract a shoreline. U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA) 20181108 https://www.coast.noaa.gov/ https://coast.noaa.gov/digitalcoast/data/ https://www.fisheries.noaa.gov/inport/item/54682 digital data 2018 2018 ground condition 2018 FL panhandle lidar Lidar data that were used to extract a shoreline. Data from the previously-published National Assessment of Shoreline Change study for the sandy shorelines of the Gulf of Mexico and Southeast Atlantic Coasts (USGS Open-File Report 2004-1089 and USGS Open-File Report 2005-1326) as well as the update reports (doi:10.5066/F74X55X7 and doi:10.5066/F78P5XNK, both in 2017) were used as the starting point for this update which includes several new lidar shorelines for Georgia and Florida. The previously published lidar shorelines are from 1998, 1999, and 2001. T-sheet shorelines 1998 gulf coast lidar 1999 east coast lidar 2001 gulf coast lidar 2019 U.S. Geological Survey Meredith Kratzmann Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 508-457-2310 mkratzmann@contractor.usgs.gov A profile method was used to extract the operational MHW shoreline from the lidar point cloud data utilizing the Matlab-based approach (Matlab version 2019b) described in Farris and others (2018). Elevation values for the height of MHW were obtained from Weber and others (2005). The profile method used a coast-following reference line with 20-meter spaced profiles. All lidar data points that were within 1 meter of each profile line were associated with that profile. All processing was done on the 2-meter-wide profiles, working on a single profile at a time. For each profile, a linear regression was fit through data points on the foreshore and the regression was evaluated at the MHW elevation to yield the cross-shore position of the MHW shoreline. If there was a data gap at MHW or if the MHW elevation was obscured by water points, the linear regression was simply extrapolated to the MHW elevation. For each profile, the foreshore beach slope was defined as the slope of the regression line. Each MHW shoreline point that was extracted using this profile method has an uncertainty associated with it. This uncertainty includes three components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) a 15 cm vertical error in the raw lidar data that was converted into a horizontal error using the beach slope; and 3) the uncertainty due to extrapolation (if the shoreline was determined using extrapolation). These three components of uncertainty were added in quadrature to yield a total error for each shoreline point. Farris, A.S., Weber, K.M., Doran, K.S., and List, J.H., 2018, Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data: U.S. Geological Survey Open-File Report 2018–1121, 13 p., https://doi.org/10.3133/ofr20181121 Weber, K.M., List, J.H., Morgan, K.L.M., 2005, An Operational Mean High Water Datum for Determination of Shoreline Position from Topographic Lidar Data: U.S. Geological Survey Open-File Report 2005–1027, https://doi.org/10.3133/ofr20051027 Lidar shorelines were extracted by Amy Farris, Kathy Weber, Zehao Xue, and Marie Bartlett of the USGS from 2015 through 2020 using the method described in this step. 2006 east coast lidar 2009 FL Atlantic Coast lidar 2010 Southeast coast lidar 2010 FL Gulf coast lidar 2010 AL/FL Gulf coast lidar 2015 FL Gulf coast lidar 2016 Southeast coast lidar 2016 FL east coast lidar 2016 Gulf coast lidar 2017 FL east coast lidar 2018 FL panhandle lidar 2020 GA 2006 lidar shoreline FLec 2006 lidar shoreline FLec 2009 lidar shoreline GA 2010 lidar shoreline FLec 2010 lidar shoreline FLwc 2010 lidar shoreline FLph 2010 lidar shoreline FLwc 2015 lidar shoreline FLph 2015 lidar shoreline GA 2016 lidar shoreline FLec 2016 lidar shoreline FLph 2016 lidar shoreline FLec 2017 lidar shoreline FLph 2018 lidar shoreline U.S. Geological Survey Amy Farris Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 x2344 508-457-2310 afarris@usgs.gov The lidar shoreline shapefiles were then visually checked against imagery contained in Esri's World_Imagery GIS server to make sure the shoreline was not interpolated through a headland or structure, for example. Attribute fields were added (based on DSAS requirements described in the DSAS v5 User Guide) to the attribute table and those fields were populated with the relevant information. This process step and all other process steps were performed by the same person - Meredith Kratzmann. 2020 U.S. Geological Survey Meredith Kratzmann Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 508-457-2310 mkratzmann@contractor.usgs.gov Historical (1800s-1980s) and previously published lidar shorelines (1998/2001, 1999) were merged with the new lidar shorelines (2006-2018) in ArcToolbox v10.7 > Data Management Tools > General > Merge to produce a single shoreline file for each region. 2020 The shorelines file was imported into a personal geodatabase in ArcCatalog v10.7 by right-clicking on the geodatabase > Import (feature class) for use in the DSAS v5 software to perform rate calculations. 2020 The shoreline feature class was exported from the personal geodatabase back to a shapefile in ArcCatalog v10.7 by right-clicking on the shoreline file > Export > To Shapefile (single) for publication purposes. 2020 The data were projected in ArcToolbox v10.7 > Data Management Tools > Projections and Transformations > Project. Parameters: input projection = UTM zone 17N (WGS84); output projection = geographic coordinates (WGS84); transformation = none. 2021 Updated the cross-reference information with regards to the related Data Report (20220427). The metadata available from a harvester may supersede metadata bundled with the dataset. Compare the metadata dates to determine which metadata file is most recent. Process performed on 20220427. The metadata title was modified to move the location name to the beginning of the title to account for the alphabetical listing of the individual records when ScienceBase migrates the data release to a new platform and "flattens" the data release structure (20260302). The USGS Thesaurus name was capitalized (20260507). 20260507 U.S. Geological Survey VeeAnn A. Cross mailing and physical

384 Woods Hole Road

Woods Hole MA 02543-1598 USA (508) 548-8700 x2251 508-457-2310 vatnipp@usgs.gov Vector String 1450 0.0197395052 0.0264490611 Decimal seconds WGS_1984 WGS_84 6378137.0 298.257223563 FLwc_shorelines Shorelines for Florida west coast (FLwc) used in shoreline change analysis. U.S. Geological Survey FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. DATE_ Date of shoreline position; date of survey as indicated on source material. A default date of 07/01 was assigned to shorelines where only the year was known (month and day unknown). Using July, the mid-point month of the calendar year, minimizes the potential offset to the actual shoreline date by a maximum of six months. U.S. Geological Survey Date of the shoreline in mm/dd/yyyy Uncy Estimate of shoreline position uncertainty. Actual shoreline position is within the range of this value (plus or minus, meters). The historic shoreline uncertainty values incorporate measurement uncertainties associated with mapping methods and materials for historical shorelines, the geographic registration of shoreline position, and shoreline digitizing. U.S. Geological Survey 0.65 10.8 Source Agency that provided shoreline feature or the data source used to digitize shoreline feature. U.S. Geological Survey Character string of length 25 Source_b Type of data used to create shoreline. U.S. Geological Survey lidar Light detection and ranging (lidar). U.S. Geological Survey T or TP with number NOAA/NOS topographic survey sheet (T- or TP-sheet) with associated registry number. U.S. Geological Survey aerials (or Photo rev., unknown) with letters and numbers and/or year FLDEP aerial photo with associated registry information. U.S. Geological Survey Year_ Four digit year of shoreline U.S. Geological Survey 1858 2017 Default_D Differentiates between shorelines that have known month and day attributes and those that use the default value of 07/01 when only the year is known. U.S. Geological Survey 0 Shoreline month and day are known. U.S. Geological Survey 1 Shoreline month and day are unknown and default value of 07/01 was used. U.S. Geological Survey Location Location of shoreline with respect to wave energy exposure. An open ocean coast is directly exposed to ocean waves and is typically characterized by higher wave energy. A sheltered coast is not directly exposed to ocean waves and is characterized by lower wave energy. This shoreline dataset includes only open ocean locations. U.S. Geological Survey open ocean Shoreline on a coast with open ocean wave exposure. U.S. Geological Survey Shape_Leng Length of shoreline in meter units (UTM zone 17N WGS84). U.S. Geological Survey, Woods Hole Science Center 2.159136 26533.604388 DSAS_type Shoreline type field used to specify the datum to which the shoreline is referenced. It is a required field when proxy-based and datum-based shorelines are combined to compute rates in DSAS. U.S. Geological Survey MHW Mean High Water (datum-based shoreline). U.S. Geological Survey HWL High Water Line (proxy-based shoreline). U.S. Geological Survey ATTRIBUTE Additional notation regarding source of shoreline data. U.S. Geological Survey Character string of length 50 The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the individual attribute descriptions for detailed information. U.S. Geological Survey U.S. Geological Survey - ScienceBase mailing and physical address

Federal Center, Building 810, MS 302

Denver CO 80225 USA 1-888-275-8747 sciencebase@usgs.gov The dataset contains polyline shorelines (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata. Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the 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. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Shapefile ArcGIS 10.7 Esri polyline shapefile These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .html, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC CSDGM-compliant metadata in HTML format. 1.5 https://doi.org/10.5066/P9J3CVN4 https://www.sciencebase.gov/catalog/file/get/614a7c8fd34e0df5fb9756e1 https://www.sciencebase.gov/catalog/item/614a7c8fd34e0df5fb9756e1 The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page. None These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile. 20260507 Meredith G. Kratzmann U.S. Geological Survey mailing and physical address

384 Woods Hole Road

Woods Hole MA 02543-1598 USA 508-548-8700 508-457-2310 whsc_data_contact@usgs.gov The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319) FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time