Kara S. Doran Joseph W. Long Hilary F. Stockdon Justin J. Birchler Matthew W. Hardy Karen L.M. Morgan Owen T.Brenner 20260115 3.0 tabular digital data Kara S. Doran Joseph W. Long Justin J. Birchler Owen T. Brenner Matthew W. Hardy Karen L.M. Morgan Hilary F. Stockdon Miguel Loubriel Torres 20170805 7.0 U.S. Geological Survey data release doi:10.5066/F7GF0S0Z St. Petersburg, Florida U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center https://doi.org/10.5066/F7GF0S0Z The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2014 Post-Hurricane Sandy South Carolina to New York National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe. To provide data on the morphology of U.S. sandy beaches. Data were collected during U.S. Geological Survey (USGS) field activity number (FAN) 14CNT01 additional survey details are available on the Coastal and Marine Geoscience Data Systems (CMGDS), http://cmgds.marine.usgs.gov/services/activity.php?fan=14CNT01. 20140108 20140727 ground condition Complete None planned -79.194307 -71.856726 41.070835 33.185493 USGS Metadata Identifier USGS:b690f5e3-07d4-4c4f-8589-10a57eb24cac None U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center Coastal and Marine Hazards and Resources Program CMHRP SPCMSC ISO 19115 Topic Category geoscientificInformation elevation environment oceans USGS Thesaurus hazards marine geology ocean sciences coastal processes lidar geomorphology hurricanes Geographic Names Information System (GNIS) Atlantic Ocean South Carolina North Carolina Virginia Maryland Delaware New Jersey New York No access constraints. Please see 'Distribution Information' for details. These data are marked with a Creative Commons 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 Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8117 727-502-8001 kdoran@usgs.gov Microsoft Windows 7 Version 6.1 (Build 7600) (version 1.0); Microsoft Windows 10 Version 6.1 (Build 7600) (version 5.0 update); Microsoft Windows 11 Version 23H2 (version 7.0 update); Esri ArcMap 10.0.4.4000 (version 1.0 update); Esri ArcMap 10.0.6.6000 (version 5.0 update); ArcGIS Pro 3.5.5 (version 7.0 update); MATLAB 2014a (version 1.0); MATLAB 2021a (version 5.0 update); MATLAB 2024b (version 7.0 update). Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H. 20120501 vector digital data U.S. Geological Survey Open-File Report 2012-1084 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20121084 Morphologic features were reviewed for quality assurance/quality control (QA/QC) in ArcMap/ArcGIS Pro and edited in MATLAB, as needed. Gaps and anomalies in the data result from data coverage or QA/QC procedures, which are detailed in Stockdon and others (2012). 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. Horizontal accuracy is estimated for shorelines only by calculating the 95% confidence interval of the regression line through the shoreline position and is dependent on foreshore slope, scatter in the lidar data points, and specified lidar point uncertainty. Horizontal coordinates were projected to the World Geodetic System of 1984 (WGS84) coordinate system with a resolution of 10 meters (m) in the longshore direction and 2.5 m in the cross-shore direction. Vertical accuracy is determined for each dune crest and toe value based upon the scatter of data in the lidar grid cell. Vertical coordinates were projected to the North American Vertical Datum of 1988 (NAVD88) coordinates system with a resolution of 10 centimeters. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division 20170320 https://www.fisheries.noaa.gov/inport/item/48141 Online digital data 20140108 20140727 ground condition 14CNT01 A lidar survey that was used to estimate dune morphology variables. Elevation data points from the lidar survey were interpolated in MATLAB 2014a to a gridded domain (segment) that was rotated parallel to the shoreline and had a resolution of 10 (m) in the longshore direction and 2.5 m in the cross-shore direction. The interpolation method applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune crest, toe and shoreline were extracted from the elevation grid in MATLAB every 10 m alongshore (each grid row is a profile). For details on feature extraction see: Stockdon and others (2012). The dataset was then converted to a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017). 14CNT01 20170805 14CNT01_morphology.csv Version 5.0 update: Additional dune morphology data was appended to this dataset for the version 5.0 update in MATLAB 2021a. The dataset was then converted into a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017). Please see the version_history.txt file for more information. 20230822 14CNT01_morphology.csv Version 7.0 update: Data were corrected for erroneous zero values by replacing with the 999 null data value for the version 5.0 update in MATLAB 2024b. The dataset was then converted into a comma-separated values file (.csv) for publication in this data release (Doran and others, 2017). Please see the version_history.txt file for more information. 20260115 14CNT01_morphology.csv Point Point 402783 0.0197843295 0.0229959585 Decimal degrees D WGS 1984 WGS 1984 6378137.0 298.257223563 North American Vertical Datum of 1988 0.0001 meter Attribute values 14CNT01_morphology.csv Dune crest, toe and shoreline, beach width and mean beach slope. See the accompanying data dictionary (Data dictionary for lidar.docx) for more details about the numbering system for the state, segment, and profile fields. USGS state State segment file identification (ID) number. USGS 10 16 segment Segment ID number. USGS 1 148 profile Grid row number corresponding to a cross-shore profile location. USGS 1 6690 lon Feature location longitude (WGS84). USGS -79.194307 -71.856726 decimal degrees 999 Null value USGS lat Feature location latitude (WGS84). USGS 33.185493 41.070835 decimal degrees 999 Null value USGS x Cross-shore feature location. USGS -3945.1092 2776.5783 meters 999 Null value USGS z Feature elevation (NAVD88). For shorelines, it is the mean-high water elevation. USGS 0.26 27.5132 meters 999 Null value USGS x_err 95% confidence interval for the cross-shore shoreline position (NAVD88). USGS 0 2.2917 meters 999 Null value USGS z_err Root mean squared vertical error of dune crest (NAVD88). USGS 0 4.1951 meters 999 Null value USGS beach_width Distance between dune toe and shoreline (NAVD88). USGS 2.3156 632.1572 meters 999 Null value USGS slope Mean beach slope calculated between dune toe and shoreline (NAVD88). USGS 0.0022 0.3689 radians 999 Null value USGS feature_type An identifier for the type of feature in the table entry. USGS DC Dune Crest USGS DT Dune Toe USGS SL Shoreline USGS The detailed attribute descriptions for the state, segment, and profile fields are included in an accompanying data dictionary (Data dictionary for lidar.docx). These metadata are not complete without this file. 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

Saint Petersburg FL 33701 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov 14CNT01_morphology.csv 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. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. comma-delimited text The data download file is compressed and must be unzipped using software such as WinZip, 7zip, Peazip or pkUnzip before use. https://coastal.er.usgs.gov/data-release/doi-F7GF0S0Z/data/14CNT01_morphology.zip none 20260115 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

600 4th Street South

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