Rachel E. Henderson Meredith G. Kratzmann Julia L. Heslin Amy S. Farris Emily A. Himmelstoss Marie K. Bartlett E. Robert Thieler Kathy M. Weber Erika E. Lentz 20260522 1.0 vector digital data data release DOI:10.5066/P14MTEZ3 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/P14MTEZ3 https://www.sciencebase.gov/catalog/item/6978fe92d4be0269295224a5 Rachel E. Henderson Meredith G. Kratzmann Julia L. Heslin Amy S. Farris Emily A. Himmelstoss Marie K. Bartlett E. Robert Thieler Kathryn M. Weber Erika E. Lentz 2026 1.0 vector digital data data release DOI:10.5066/P14MTEZ3 Reston, VA U.S. Geological Survey suggested citation: Henderson, R.E., Kratzmann, M.G., Heslin, J. L., Farris, A.S., Himmelstoss, E.A., Bartlett, M.K., Thieler, E.R., Weber, K.M., and Lentz, E.E., 2026, USGS National Shoreline Change - A compilation of published shoreline change rates (1800s-2010s) for the contiguous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P14MTEZ3. https://doi.org/10.5066/P14MTEZ3 https://www.sciencebase.gov/catalog/item/694ac29ed4be023a64292d5c The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar elevation point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is important to update and maintain records of historical shoreline positions to allow monitoring of change over time, and to identify areas most susceptible to erosion or accretion. These shoreline change data can help coastal managers identify areas along the shore that are most likely to experience significant change over time. This data release is a compilation of long-term rates of change from multiple USGS publications from 2000-2025 for the contiguous United States. Please see the original previously published USGS shoreline change citations for descriptions of methods and data sources for each dataset. This dataset includes long-term shoreline change rates for dates ranging from 1830 to 2018 compiled from previously published data releases for the coastal region of the contiguous United States. Original source data (referenced in source citations as part of the original data release) combines historical shorelines compiled from a variety of sources including topographic sheets (T-sheets), air photos, and lidar data. All transect rate data in this data release were created with the Digital Shoreline Analysis System (DSAS) versions ranging from 4.0-5.1 as noted in the source citation. For each data release, a reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. Within DSAS, transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data for a minimum 50-year period. 1830 2018 range of available shoreline dates Complete As needed -124.594049 -69.776564 47.885091 25.664117 None Long-term Rate Shoreline Change Rate Historical Shorelines USGS High Water Line HWL Woods Hole Coastal and Marine Science Center Shorelines Transect Wet Dry Line WDL Mean High Water MHW U.S. Geological Survey DSAS Digital Shoreline Analysis System NOAA USGS Thesaurus geospatial datasets coastal processes ISO 19115 Topic Category oceans environment geoscientificInformation USGS Metadata Identifier USGS:6978fe92d4be0269295224a5 None Atlantic Coast Gulf Coast Pacific Coast United States North America 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. 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 Rachel E. Henderson mailing and physical

384 Woods Hole Road

Woods Hole MA 02543-1598 US 508-548-8700 rehenderson@usgs.gov https://www.sciencebase.gov/catalog/file/get/6978fe92d4be0269295224a5/?name=National_Long_Term_coverage.png&allowOpen=true Map of compiled shoreline change rate transects from 1830-2018 for the contiguous United States PNG Additional credit to authors of regional shoreline change data publications who are no longer with the USGS: Jeff List and Cheryl Hapke for their contributions to the National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts: https://doi.org/10.3133/ofr20101119 and David Reid and Peter Ruggiero for their contributions to the National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the Pacific Northwest Coast: https://doi.org/10.3133/ofr20121008 Microsoft Windows 11 Enterprise; Esri ArcGIS Pro 3.3.1 E. Robert Thieler Emily A. Himmelstoss Jessica L. Zichichi Ayhan Ergul 2009 Open-File Report 2008-1278 Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Geology Program Versions used for various shoreline change assessments within this report: v4.1, v4.2, v4.3 https://doi.org/10.3133/ofr20081278 Emily A. Himmelstoss Amy S. Farris Rachel E. Henderson Meredith G. Kratzmann Ayhan Ergul Ouya Zhang Jessica L. Zichichi E. Robert Thieler 2018 software release version 5.0 Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9VW42I0 https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Emily A. Himmelstoss Rachel E. Henderson Meredith G. Kratzmann Amy S. Farris 2021 publication Open-File Report 2021-1091 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20211091 https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Emily A. Himmelstoss Amy S. Farris Rachel E. Henderson Meredith G. Kratzmann Ayhan Ergul Ouya Zhang Jessica L. Zichichi E. Robert Thieler 2021 USGS Software Release version 5.1 Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9VW42I0 https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Amy S. Farris Kathryn M. Weber Kara S. Doran Jeffrey H. List 2018 document Open-File Report 2018-1121 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20181121 The data provided here are a compilation of published shoreline change rates from multiple sources. Please see individual, associated publications (listed in the source citations below) for accuracy details. Some attributes are based on the requirements of the Digital Shoreline Analysis System (DSAS) software and have gone through a series of quality assurance procedures. Additional attributes have been added to the merged national data to assist the user in defining the regional (State, County) and National significance (USAorder). These data were compiled from various regional data releases and were generated using DSAS versions ranging from version 4 to version 5.1. As part of the original data release, the transects automatically generated by the software were visually inspected along with the shoreline data prior to rate calculations, and sometimes transect positions were manually edited to better represent an orthogonal position to the general trend of the shorelines. For this publication, rate transect polyline files were merged into one dataset using standard editing tools in ArcGIS Pro v3.3.1. The original transect ID order for some publications needed to be flipped so the final merged transect ID (USAorder) flowed in a consistent direction alongshore. The resulting USAorder ID values increase sequentially from the Pacific coast (Washington to Southern California), through the Gulf Coast (Texas to the West Coast of Florida), and northward from the East Coast of Florida to Maine. Tests were performed to ensure the national ID values (USAorder) are unique and do not repeat. Existing ID values were modified to keep transects in order and gaps within each dataset (such as a location with transects removed) were not adjusted or filled in. Therefore the total number of transects is lower than maximum national ID (USAorder) value. This dataset contains transects generated by the DSAS software application (v4 through v5.1) that were used to calculate long-term shoreline change rates for the region. Additional transects may have been generated but did not meet the required number of shorelines (3) or geomorphology constraints. Shoreline change coverage is limited to open-ocean sandy coastlines. Shoreline change data have been acquired from ten different USGS data releases. The horizontal accuracy varies with respect to the data source from which the shorelines were digitized and the time period. Please see individual, associated publications (listed in the source citations below) for calculations of horizontal positional uncertainty. Meredith G. Kratzmann Emily A. Himmelstoss Peter Ruggiero E. Robert Thieler David Reid 2013 Open-File Report 2012-1008 Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Geology Program Suggested citation: Kratzmann, Meredith, Himmelstoss, E.A., Ruggiero, Peter, Thieler, E.R., and Reid, David, 2013, The National assessment of shoreline change—A GIS compilation of vector shorelines and associated shoreline change data for the Pacific Northwest coast: U.S. Geological Survey Open-File Report 2012–1008, http://dx.doi.org/10.3133/ofr20121008. https://doi.org/10.3133/ofr20121008 online 1869 2002 time period is the range of available shoreline dates for this area at the time of publication WA-OR LT RATES From this dataset, we used the long-term shoreline change rates for the Oregon and Washington coastal regions. For this area, the shoreline dates range from 1869 to 2002. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.2, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Meredith G. Kratzmann Amy S. Farris Emily A. Himmelstoss 2024 1.0 vector digital data data release DOI:10.5066/P94J0K7Z Reston, VA U.S. Geological Survey Suggested citation: Kratzmann, M.G., Farris, A.S., and Himmelstoss, E.A., 2024, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California: U.S. Geological Survey data release, https://doi.org/10.5066/P94J0K7Z. https://doi.org/10.5066/P94J0K7Z online 1854 2016 time period is the range of available shoreline dates for this area at the time of publication CA LT RATES From this dataset, we used the long-term shoreline change rates for the California coast. For this area, the shoreline dates range from 1854 to 2016. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.0, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data for Northern California (Oregon border to Tomales Bay), Central California (Tomales Bay to El Capitán State Beach), and Southern California (El Capitán State Beach to the border with Mexico). Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. E.A. Himmelstoss M.G. Kratzmann E.R. Thieler 2017 1 data release DOI:10.5066/F78P5XNK Reston, VA U.S. Geological Survey Suggested citation: Himmelstoss, E.A., Kratzmann, M.G., and Thieler, E.R., 2017, National assessment of shoreline change – A GIS compilation of updated vector shorelines and associated shoreline change data for the Gulf of Mexico: U.S. Geological Survey data release, https://doi.org/10.5066/F78P5XNK. https://doi.org/10.5066/F78P5XNK online 1850 2001 time period is the range of available shoreline dates for this area at the time of publication TX-LA-MS-AL LT RATES From this dataset, we used the long-term shoreline change rates for Texas, Louisiana, Alabama, and Mississippi. Although Florida was included in the 2017 publication this data release used more recent publication (Kratzmann, 2021) for the state of Florida (see FL-GA LT rates). For this area, the shoreline dates range from 1850 to 2001. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. 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 online 1851 2018 time period is the range of available shoreline dates for this area at the time of publication FL-GA LT RATES From this dataset, we used the long-term shoreline change rates (transects) for the Florida and Georgia coastal region. For this area, the shoreline dates range from 1851 to 2018. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.0, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Marie K. Bartlett Amy S. Farris Kathryn M. Weber 2023 1.0 vector digital data data release doi:10.5066/P9LLAZYE Reston, VA U.S. Geological Survey Suggested citation: Bartlett, M.K., Farris, A.S., and Weber, K.M., 2023, USGS National Shoreline Change — A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina: U.S. Geological Survey data release, https://doi.org/P9LLAZYE. https://doi.org/10.5066/P9LLAZYE online 1852 2018 time period is the range of available shoreline dates for this area at the time of publication SC LT RATES From this dataset, we used the long-term shoreline change rates for the South Carolina coastal region, used to maintain a national database of shoreline change. For this area, the shoreline dates range from 1852 to 2018. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Marie K. Bartlett Amy S. Farris Kathryn M. Weber Rachel E. Henderson 2023 1.0 vector digital data data release doi:10.5066/P9HYNUNV Reston, VA U.S. Geological Survey Suggested citation: Bartlett, M.K., Farris, A.S., Weber, K.M., and Henderson, R.E., 2023, USGS National Shoreline Change — 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina: U.S. Geological Survey data release, https://doi.org/P9HYNUNV. https://doi.org/10.5066/P9HYNUNV online 1848 2017 time period is the range of available shoreline dates for this area at the time of publication NC LT RATES From this dataset, we used the long-term shoreline change rates for the North Carolina coastal region, used to maintain a national database of shoreline change. For this area, the shoreline dates range from 1848 to 2017. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Marie K. Bartlett Rachel E. Henderson Amy S. Farris 2023 1.0 vector digital data data release doi:10.5066/P9DHOFXU Reston, VA U.S. Geological Survey Suggested citation: Bartlett, M.K., Henderson R.E., and Farris, A.S., 2023, USGS National Shoreline Change — A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for Coastal Virginia from the 1840s to 2010s: U.S. Geological Survey data release, https://doi.org/10.5066/P9DHOFXU. https://doi.org/10.5066/P9DHOFXU online 1849 2017 time period is the range of available shoreline dates for this area at the time of publication VA LT RATES From this dataset, we used the long-term shoreline change rates for the Virginia coastal region, used to maintain a national assessment of shoreline change. For this area, the shoreline dates range from 1849 to 2017. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Emily A. Himmelstoss Meredith G. Kratzmann Cheryl J. Hapke E. Robert Thieler Jeffrey List 2010 Open-File Report 2010-1119 Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Geology Program Suggested citation: Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010–1119, available only online at https://doi.org/10.3133/ofr20101119. https://doi.org/10.3133/ofr20101119 online 1830 2007 time period is the range of available shoreline dates for this area at the time of publication MD-DE-NJ-NY-RI LT RATES From this dataset, we used the long-term rates of change from the states of Maryland, Delaware, New Jersey, the south shore of Long Island, New York and the south shore of Rhode Island. For this area, the shoreline dates range from 1830 to 2007. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Rachel E. Henderson Meredith G. Kratzmann Amy S. Farris Erika E. Lentz Emily A. Himmelstoss 2025 1.0 vector digital data data release DOI:10.5066/P1TKEDFX Reston, VA U.S. Geological Survey suggested citation: Henderson, R.E., Kratzmann, M.G., Farris, A.S., Lentz, E.E., and Himmelstoss, E.A., 2025, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut: U.S. Geological Survey data release, https://doi.org/10.5066/P1TKEDFX https://doi.org/10.5066/P1TKEDFX online 1883 2016 time period is the range of available shoreline dates for this area at the time of publication NY-CT LT RATES From this dataset, we used the long-term rates of change for the Long Island Sound coastal region (south shore of CT, north shore of Long Island, NY). For this area, the shoreline dates range from 1931 to 2014 (NY) and 1883 to 2016 (CT). The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1 developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Marie K. Bartlett Rachel E. Henderson Amy S. Farris Emily A. Himmelstoss 2021 1 vector digital data Data release doi:10.5066/P9YGIYFX Reston, VA U.S. Geological Survey suggested citation: Bartlett, M.K., Henderson, R. E., Farris, A.S., and Himmelstoss, E.A., 2021, Massachusetts shoreline change project, 2021 update–A GIS compilation of shoreline change rates calculated using Digital Shoreline Analysis System version 5.1, with supplementary intersects and baselines for Massachusetts: U.S. Geological Survey data release. https://doi.org/10.5066/P9YGIYFX https://doi.org/10.5066/P9YGIYFX online 1845 2018 time period is the range of available shoreline dates for this area at the time of publication MA LT RATES From this dataset, we used the long-term rates of change for the Massachusetts coastline. For this area, the shoreline dates range from 1845 to 2018. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Emily A. Himmelstoss Meredith G. Kratzmann Cheryl J. Hapke E. Robert Thieler Jeffrey List 2010 Open-File Report 2010-1119 Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Geology Program Suggested citation: Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010–1119, available only online at https://doi.org/10.3133/ofr20101119. https://doi.org/10.3133/ofr20101119 online 1850 2000 time period is the range of available shoreline dates for this area at the time of publication NH-ME LT RATES From this dataset, we used the long-term rates of change in the New England North coastal region of New Hampshire and Maine. For this area, the shoreline dates range from 1850 to 2000. The range and number of shorelines used at each transect may vary based on availability of shoreline data in that location. Rates that span 50+ years are considered long-term. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. Shoreline change data were downloaded from each publication page and all files were merged in ArcGIS Pro (v3.3.1). State abbreviations were appended to a single dataset one dataset at a time, and a record of ID/order was kept to create a National ID (USAorder). Some datasets' transect IDs had to be reoriented/flipped so the transect ID order was consistent with the state order (from Washington to Maine). These states were: California, South Carolina, North Carolina, Virgina, and select regions of Massachusetts. In some cases (for example the Elizabeth Islands, MA), transects were reordered due to complex coastal settings (small islands). This process step and all subsequent process steps were performed by the same person - Rachel E. Henderson. WA-OR LT RATES CA LT RATES TX-LA-MS-AL LT RATES FL-GA LT RATES SC LT RATES NC LT RATES VA LT RATES MD-DE-NJ-NY-RI LT RATES NY-CT LT RATES MA LT RATES NH-ME LT RATES 2025 National merged LT dataset U.S. Geological Survey Rachel E. Henderson Researcher VII mailing and physical

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 rehenderson@usgs.gov Once the rate data were merged, additional attributes were added to characterize the dataset. These included attributes for: a consistent National ID (USAorder); the range in years that the transect dataset covers (DateRange); an indication of whether the proxy-datum bias (PDB) was applied (BIAS_appli); a numerical ordering by states from the West, Gulf and East coast (StateOrder); the state name (State); the coastal county name (County); the general coastal area (CoastalAre); a link to the original data release publication (PubLink), the name of the original rate transect dataset (OrigNAME); and X and Y values of the center of the transect feature (Point_X, Point_Y). National merged LT dataset 2025 National LT dataset Vector String 126831 0.0197620543 0.0245554315 Decimal seconds D WGS 1984 WGS 1984 6378137.0 298.257223563 National_Shoreline_Change_Rates_LT Compilation of long-term rates of change from multiple USGS publications from 2000-2021 for the contiguous United States. U.S. Geological Survey Shape The geometry field (shape) is automatically created and maintained by ArcGIS. It provides a definition of the feature type (point, line, polygon). Esri Feature Type FID Internal feature number used as a unique identifier of an object. Esri Sequential unique whole numbers that are automatically generated. Azimuth Assigned by DSAS to record the azimuth of the transect measure in degrees clockwise from North. If a transect position has been adjusted during the editing process, the azimuth value in the attribute table is updated automatically. U.S. Geological Survey 0 360 degrees USAorder Unique national transect identifier. The order of values is related to the state order from Washington south along the Pacific coast, east from Texas to Florida, and northward along the Atlantic coast from Florida to Maine. U.S. Geological Survey 1 160815 LRR A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. Any shoreline points that are referenced to HWL were adjusted by the proxy-datum bias distance (meters) along the transect to correct for the offset between proxy-based HWL and datum-based MHW shorelines. The best-fit regression line is placed so that the sum of the squared residuals (determined by squaring the offset distance of each data point from the regression line and adding the squared residuals together) is minimized. The linear regression rate is the slope of the line. The rate is reported in meters per year with positive values indicating accretion (seaward movement) and negative values indicating erosion (landward movement). U.S. Geological Survey -39.62 33.51 meters per year LR2 The R-squared statistic, or coefficient of determination, is the proportion of variance in the data that is explained by a regression. It is the R-squared value of the regression of the best fit line from LRR. It is a dimensionless index that ranges from 1.0 to 0.0 and measures how successfully the best-fit line accounts for variation in the data. The smaller the variability of the residual values around the regression line relative to the overall variability, the better the prediction (and closer the R-squared value is to 1.0). U.S. Geological Survey 0 1 LSE This quantity is the standard error of the regression, also known as the standard error of the estimate. To calculate it, the distance between each data point and the regression line is calculated. These distances are squared then summed. The sum is divided by the number of data points minus two. The square root is taken of the result. U.S. Geological Survey 0 1229.89 meters LCI90 The standard error of the slope with confidence interval describes the uncertainty of the reported rate. The LRR rates are determined by a best-fit regression line for the shoreline data at each transect. The slope of this line is the reported rate of change (in meters/year). The confidence interval (LCI) is calculated by multiplying the standard error (also called the standard deviation) of the slope by the two-tailed test statistic at the user-specified 90 percent confidence. This value is often reported in conjunction with the slope to describe the confidence of the reported rate. For example: LRR = 1.2 LCI90 = 0.7 could be reported as a rate of 1.2 (+/-) 0.7 meters/year. U.S. Geological Survey 0 83.355 ShrCount Number of shorelines used to compute shoreline change metrics. A value of 9999 indicates this metric was not calculated in the original dataset. U.S. Geological Survey 3 15 9999 Null value U.S. Geological Survey Bias_appli Indication that the proxy-datum bias is applied to the LRR for this transect. U.S. Geological Survey YES BIAS Bias is applied to this transect LRR rate of change U.S. Geological Survey NO BIAS Bias is NOT applied to this transect LRR rate of change U.S. Geological Survey DateRange The range of dates (in years) covered by the original data release. Individual shoreline dates used at each transect will vary based on availability of shoreline data. This information can be found in the associated "intersect" file in the original data release. (The intersect file is a point dataset which provides shoreline/transect intersect points and captures date of each shoreline used). U.S. Geological Survey A range of dates (in years). The start year can be as early as 1830, and end year as recent as 2018 StateOrder Each state has a unique StateOrder value. The order of states starts Washington (1) and moves in a counterclockwise direction around the entire contiguous United States ending in Maine (21). The numbers increase by state southward along the West Coast, eastward around the Gulf, and northward along the Atlantic coastline. U.S. Geological Survey 1 21 State The abbreviation for U.S. State where the shoreline change transects occur. U.S. Geological Survey WA Washington U.S. Geological Survey OR Oregon U.S. Geological Survey CA California U.S. Geological Survey TX Texas U.S. Geological Survey LA Louisiana U.S. Geological Survey MS Mississippi U.S. Geological Survey AL Alabama U.S. Geological Survey FL Florida U.S. Geological Survey GA Georgia U.S. Geological Survey SC South Carolina U.S. Geological Survey NC North Carolina U.S. Geological Survey VA Virgina U.S. Geological Survey MD Maryland U.S. Geological Survey DE Delaware U.S. Geological Survey NJ New Jersey U.S. Geological Survey NY New York U.S. Geological Survey CT Connecticut U.S. Geological Survey RI Rhode Island U.S. Geological Survey MA Massachusetts U.S. Geological Survey NH New Hampshire U.S. Geological Survey ME Maine U.S. Geological Survey County U.S. County (or county equivalent jurisdiction) where the shoreline change transects occur. Counties were extracted from an Esri feature layer "U.S. Counties and Equivalent Entities" utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau [udpated March 2, 2026] https://www.arcgis.com/home/item.html?id=1b63e857b9594fcaa6f64445f6844526 National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau) Character string of length 100 CoastalAre The coastal area where the transects occur. U.S. Geological Survey WEST The West Coast of the contiguous US from Washington to California U.S. Geological Survey GULF The Gulf Coast of the contiguous US from Texas to the west coast of Florida U.S. Geological Survey EAST The East Coast of the contiguous US from the east coast of Florida to Maine U.S. Geological Survey PubLink The web address of the original data release published by USGS. U.S. Geological Survey Character string of length 50 OrigNAME The name of the shapefile transect rate dataset in the original dataset. U.S. Geological Survey Character string of length 50 Point_X The center point of each transect feature in Longitude coordinates in Geographic WGS 84 U.S. Geological Survey -124.591483 -69.778572 decimal degrees Point_Y The center point of each transect feature in Latitude coordinates in Geographic WGS 84 U.S. Geological Survey 25.664757 47.880916 decimal degrees 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

Federal Center, Building 810, MS 302

Denver CO 880225 US 1-888-275-8747 sciencebase@usgs.gov This dataset contains a polyline transect file with rate data National_Shoreline_Change_Rates_LT.zip (ZIP file contains the shapefile National_Shoreline_Change_Rates_LT.shp and the additional shapefile components), browse graphic, and the FGDC CSDGM metadata in xml format. 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 have been processed successfully on a computer system at 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. 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. Shapefile ArcGIS Pro 3.3.1 Esri polyline shapefile These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, 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. Additional file (National_Shoreline_Change_Rates_LT_metadata.xml) is the FGDC CSDGM-compliant metadata in XML format. no compression applied 9.8 https://doi.org/10.5066/P14MTEZ3 https://www.sciencebase.gov/catalog/file/get/6978fe92d4be0269295224a5 https://www.sciencebase.gov/catalog/item/6978fe92d4be0269295224a5 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. 20260522 U.S. Geological Survey Rachel E. Henderson mailing and physical

384 Woods Hole Road

Woods Hole MA 02543-1598 US 508-548-8700 whsc_data_contact@usgs.gov The metadata contact email address is a generic address in the event the person is no longer with USGS. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998