Rachel E. Henderson Julia L. Heslin Emily A. Himmelstoss 20211119 1.0 vector digital data data release DOI:10.5066/P9FNRRN0 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/P9FNRRN0 https://www.sciencebase.gov/catalog/item/6149fa53d34e0df5fb96fc26 Rachel E. Henderson Julia L. Heslin Emily A. Himmelstoss 2021 1.0 vector digital data data release DOI:10.5066/P9FNRRN0 Reston, VA U.S. Geological Survey suggested citation: Henderson, R.E., Heslin, J.L., and Himmelstoss, E.A., 2021, Puerto Rico shoreline change — A GIS compilation of shorelines, baselines, intersects, and change rates calculated using the Digital Shoreline Analysis system version 5.1: U.S. Geological Survey data release, https://doi.org/10.5066/P9FNRRN0. https://doi.org/10.5066/P9FNRRN0 https://www.sciencebase.gov/catalog/item/61255b87d34e40dd9c03f390 The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico—part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus—has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time. Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software. Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change. The overall project contains shorelines, baselines, shoreline change rates (long-term and short-term), and shoreline intersects (long-term and short-term), for Puerto Rico, and the adjacent islands of Vieques and Culebra. The datasets described by this metadata file include the long-term (~120 years) and short-term (~40 years) shoreline change rates for for the islands Vieques and Culebra, of Puerto Rico.. Rate calculations were computed within a GIS using DSAS version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points which provide location and time information used to calculate rates of change. Long-term and short-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. 1936 2018 ground condition Complete None planned -67.272143 -65.5886 18.5171 17.9257 ISO 19115 Topic Category oceans geoscientificInformation environment None Shorelines Historical Shoreline Long-term shoreline change rate Short-term shoreline change rate Shoreline change rate Erosion Accretion Linear Regression Rate LRR Transect Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center WHCMSC Puerto Rico Shoreline Change University of Puerto Rico University of Puerto Rico Graduate School of Planning Coastal Research and Planning Institute of Puerto Rico USGS Thesaurus geospatial datasets coastal processes USGS Metadata Identifier USGS:6149fa53d34e0df5fb96fc26 None Atlantic Coast United States Caribbean Puerto Rico Vieques Culebra None These data were automatically generated using the DSAS v5.1 software application. 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 address

384 Woods Hole Road

Woods Hole MA 02543-1598 USA 508-548-8700 rehenderson@usgs.gov https://www.sciencebase.gov/catalog/file/get/6149fa53d34e0df5fb96fc26?name=VC_ShorelineChange_Rates.jpg Map of shoreline change rates (long-term) for the islands Vieques and Culebra of Puerto Rico from the 1900s to 2018. JPEG Microsoft Windows 10 Enterprise; Esri ArcGIS 10.6 Emily A. Himmelstoss Amy S. Farris Rachel E. Henderson Meredith G. Kratzmann Ayhan Ergul Ouya Zhang Jessica L. Zichichi 2021 software release version 5.1 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 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 Julia L. Heslin Rachel E. Henderson Emily A. Himmelstoss 2021 1 vector digital data data release DOI:10.5066/P9AZYW74 Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9AZYW74 https://www.sciencebase.gov/catalog/item/610abe37d34ef8d70568937a U.S. Geological Survey 2021 vector digital data data release DOI:10.5066/P9CLXCEG Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9CLXCEG https://www.sciencebase.gov/catalog/item/60cb7627d34e86b938a3a1b0 Loderay Bracero-Marrero Maritza Barreto-Orta Nias Hernández-Montcourt Rubén Maldonado-González Emily A. Himmelstoss Julia L. Heslin 2021 1 vector digital data data release doi:10.5066/P9SEUAHC Reston, VA U.S. Geological Survey suggested citation: Bracero-Marrero, L., Barreto-Orta, M., Hernández-Montcourt, N., Maldonado-González, R., Himmelstoss, E.A., Heslin, J.L. 2021, A GIS Compilation of Vector Shorelines and Shoreline Classification for Puerto Rico from 1970 and 2010: U.S. Geological Survey data release, https://doi.org/10.5066/P9SEUAHC https://doi.org/10.5066/P9SEUAHC https://www.sciencebase.gov/catalog/item/610ae914d34ef8d70568fba9 E.R.Thieler R.W. Rodriguez Emily A. Himmelstoss 2007 1 vector digital data open file report doi:10.3133/ofr20071017 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20071017 https://pubs.er.usgs.gov/publication/ofr20071017 Rachel E. Henderson Julia L. Heslin Emily A. Himmelstoss Maritza Barreto-Orta 2024 Data Report 1191 Reston, VA U.S. Geological Survey https://doi.org/10.3133/dr1191 Henderson, R.E., Heslin, J.L., Himmelstoss, E.A., and Barreto-Orta, M., 2024, National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico: U.S. Geological Survey Data Report 1191, 41 p., https://doi.org/10.3133/dr1191. The attributes of this dataset are based on the field requirements of the Digital Shoreline Analysis System and were automatically generated by the software during the generation of the transect layer or during the calculation of shoreline change rates performed by the software. These data were generated using DSAS v5.1. The transects automatically generated by the software were visually inspected along with the shoreline data prior to rate calculations. If needed, transect positions were manually edited within a standard ArcMap edit session to adjust the position at which an individual transect intersected the shorelines to better represent an orthogonal position to the general trend of the coast over time. This dataset contains the transects generated by the DSAS software application that were used to calculate shoreline change rates for the region. Additional transects may have been generated but did not meet the required number of shorelines or time period requirements. The uncertainty of the linear regression rate is estimated by the elements LR2, LSE and LCI90. See the attribute definition of each for more information. Julia L. Heslin Rachel E. Henderson Emily A. Himmelstoss 2021 1 vector digital data data release DOI:10.5066/P9FNRRN0 Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9FNRRN0 https://www.sciencebase.gov/catalog/item/6149f75fd34e0df5fb96fbe9 online 2021 ground condition PR_Shorelines Shoreline data from four corresponding Puerto Rico shorelines Data releases which have been merged into a single feature class (PR_shorelines). Note the range of shoreline dates will vary by location. Julia L. Heslin Rachel E. Henderson Emily A. Himmelstoss 2021 1 vector digital data data release doi:10.5066/P9FNRRN0 Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9FNRRN0 https://www.sciencebase.gov/catalog/item/6149fa46d34e0df5fb96fc24 online 2021 ground condition VC_Baselines Baselines used by DSAS to cast transects from which shoreline changes can be measured. Explanation of the methods used to calculate shoreline change rates as part of the Puerto Rico shoreline change project. Compiled shorelines and basleines were used to create interrim transect files. These transect files were then used, with the shorelines to generate shoreline intersection points and rates of change for both short-term and long-term. This process step and all subsequent process steps were performed by the same person: Rachel E. Henderson 2021 Rachel E. Henderson U.S. Geological Survey Researcher VII mailing and physical

384 Woods Hole Road

Woods Hole MA 02540 508-548-8700 rehenderson@usgs.gov DSAS v5.1 was used to create transect features (stored in a personal geodatabase) for long-term shoreline change. DSAS input parameters Used: shoreline layer = PR_Shorelines, baseline layer= VC_Baselines, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward. Files produced and saved to personal geodatabase = VC_Trans_LT. For additional details on these parameters, please see the DSAS help file distributed with the DSAS software or visit the USGS website at: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.6. This process step and all subsequent process steps were performed by the same person: Rachel E. Henderson PR_Shorelines VC_Baselines 2021 VC_Trans_LT Rachel E. Henderson U.S. Geological Survey Researcher VII mailing and physical

384 Woods Hole Road

Woods Hole MA 02540 508-548-8700 rehenderson@usgs.gov To calculate the long-term shoreline change rate the entire range of shorelines from 1901 to 2018 were utilized. DSAS generates shoreline intersects and shoreline change calculations stored as rate transects. Depending on the available data, the shoreline intersects used for analysis may include those referenced to the datum-based mean high water (MHW) or a proxy-based feature such as the high water line (HWL) wet-dry line (WDL).Input parameters used: shoreline layer= PR_Shorelines, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=10 meters, shoreline intersection=seaward, transect layer= VC_Trans_LT, stats calculations=[LRR], shoreline threshold=0, confidence interval=90%. Files produced and saved to personal geodatabase = VC_Trans_LT_rates, VC_Trans_LT_intersects. NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines. PR_Shorelines VC_Trans_LT 2021 VC_Trans_LT_rates VC_Trans_LT_intersects DSAS v5.1 was used to create transect features (stored in a personal geodatabase) for short-term shoreline change. DSAS input parameters Used: shoreline layer = PR_Shorelines, baseline layer= VC_Baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward. Files produced and saved to personal geodatabase = VC_Trans_ST. For additional details on these parameters, please see the DSAS help file distributed with the DSAS software or visit the USGS website at: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.6. PR_Shorelines VC_Baselines 2021 VC_Trans_ST To calculate the short-term shoreline change rates, shorelines from 1977 to 2018 were selected. DSAS generates shoreline intersects and shoreline change calculations stored as rate transects. Depending on the available data, the shoreline intersects used for analysis may include those referenced to the datum-based mean high water (MHW) or a proxy-based feature such as the high water line (HWL) wet-dry line (WDL). Input parameters used: shoreline layer= PR_Shorelines, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=10 meters, shoreline intersection=seaward, transect layer= VC_Trans_ST, stats calculations=[LRR], shoreline threshold=0, confidence interval=90%. Files produced and saved to personal geodatabase = VC_Trans_ST_rates, VC_Trans_ST_intersects. NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines. PR_Shorelines VC_Trans_ST 2021 VC_Trans_ST_rates VC_Trans_ST_intersects A coastal shoreline classification (Bracero-Marrero and others, 2021) was used to identify areas of sandy shoreline and remove transcets/intersects from analysis in areas of mangrove vegetation, rocky cliff-backed coastlines, and some areas with significant anthropogenic modification. 2021 Long-term and short-term rate transect features were exported from a personal geodatabase to shapefiles in ArcMap v10.6 by right-clicking the transect layer > data > export data. VC_Trans_LT_rates VC_Trans_ST_rates 2021 VC_Trans_Rates_LT VC_Trans_Rates_ST The exported rate transect shapefiles were projected in Esri's ArcToolbox (v10.6) > Data Management Tools > Projections and Transformations > Project. Parameters: input projection - NAD_1983_NSRS2007_StatePlane_Puerto_Rico_Virgin_Isls_FIPS_5200v; output projection - geographic coordinates (WGS84); transformation = none. 2021 A field name was added for Municipality, and values were joined based on the Esri dataset "Puerto Rico Municipality Boundaries 2020" https://esri.maps.arcgis.com/home/item.html?id=52bc4062cbac4f5093e18bce4a818b9d 2021 The metadata was modified to add the Data Report cross-reference and the distribution liability was updated to the current standards (20240513). 2024 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). 20260302 U.S. Geological Survey VeeAnn A. Cross Marine Geologist Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543-1598 508-548-8700 x2251 508-457-2310 vatnipp@usgs.gov Vector String 0.0000001 0.0000001 Decimal degrees WGS_1984 WGS_1984 6378137.0 298.257223563 VC_Trans_Rates_LT.shp Transects were automatically generated by DSAS at a 90-degree angle to the user-specified baseline using a smoothing algorithm to maintain roughly parallel transects that are orthogonal with respect to the baseline. These attributes are for long-term rates for Vieques and Culebra of Puerto Rico. Vector Object Count: 1881 U.S. Geological Survey FID Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles. Esri Sequential unique whole numbers that are automatically generated. 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. BaselineID Unique identification number of the baseline segment. If BaselineID=0 no transects will be generated. Used by DSAS to determine transect ordering alongshore if multiple baseline segments exist. U.S. Geological Survey 1 8 GroupID This optional field corresponds to the Basleine file "DSAS_Group", and it is a way to aggregate baseline segments (and transects) on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). Baseline segments are assigned an ID value and statistics are repored by group in the DSAS summary text file once rates are calculated. U.S. Geological Survey 1 3 TransOrder Assigned by DSAS based on ordering of transects along the baseline. Used to allow user to sort transect data along the baseline from baseline start to baseline end. U.S. Geological Survey 10 3563 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 ShrCount Number of shorelines used to compute shoreline change metrics. U.S. Geological Survey 3 5 TCD The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1 and measured sequentially alongshore to the end of the final baseline segment. U.S. Geological Survey 450 220055.04 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. 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 and negative values indicating erosion. U.S. Geological Survey Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in 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 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 point minus two. The square root is taken of the result. U.S. Geological Survey Positive decimal values in 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 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 Positive decimal values in meters. SHAPE_Leng Length of feature in meter units. Esri 10.280592 184.753724 MUNICIPAL Municipality names derived from the Esri Living Atlas layer: Puerto Rico Municipality Boundaries 2020. U.S. Geological Survey Municipality name. VC_Trans_Rates_ST.shp Transects were automatically generated by DSAS at a 90-degree angle to the user-specified baseline using a smoothing algorithm to maintain roughly parallel transects that are orthogonal with respect to the baseline. These attributes are for short-term rates for Vieqeus and Culebra of Puerto Rico. Vector Object Count: 1432 U.S. Geological Survey FID Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles. Esri Sequential unique whole numbers that are automatically generated. BaselineID Unique identification number of the baseline segment. If BaselineID=0 no transects will be generated. Used by DSAS to determine transect ordering alongshore if multiple baseline segments exist. U.S. Geological Survey 1 8 GroupID This optional field corresponds to the Basleine file "DSAS_Group", and it is a way to aggregate baseline segments (and transects) on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). Baseline segments are assigned an ID value and statistics are repored by group in the DSAS summary text file once rates are calculated. U.S. Geological Survey 1 3 TransOrder Assigned by DSAS based on ordering of transects along the baseline. Used to allow user to sort transect data along the baseline from baseline start to baseline end. U.S. Geological Survey 10 3563 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 ShrCount Number of shorelines used to compute shoreline change metrics. U.S. Geological Survey 3 3 TCD The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1 and measured sequentially alongshore to the end of the final baseline segment. U.S. Geological Survey 450 220055.04 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. 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 and negative values indicating erosion. U.S. Geological Survey Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in 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 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 point minus two. The square root is taken of the result. U.S. Geological Survey Positive decimal values in 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 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 Positive decimal values in meters. SHAPE_Leng Length of feature in meter units Esri 10.280592 120.424848 MUNICIPAL Municipality names derived from the Esri Living Atlas layer: Puerto Rico Municipality Boundaries 2020. U.S. Geological Survey Municipality name. The entity and attribute information provided here describes the tabular data associated with long-term (~120 years) and short-term ~40 years) shoreline change rates. Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units. U.S. Geological Survey U.S. Geological Survey - ScienceBase mailing and physical address

Federal Center, Building 810, MS 302

Denver CO 880225 USA 1-888-275-8747 sciencebase@usgs.gov The dataset contains the polyline rates of shoreline change data, (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata. 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. 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 10.6 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 files of the same name included are a .lyr file (used to display symbology) and FGDC CSDGM-compliant metadata in HTML format. no compression applied 0.56 https://doi.org/10.5066/P9FNRRN0 https://www.sciencebase.gov/catalog/file/get/6149fa53d34e0df5fb96fc26 https://www.sciencebase.gov/catalog/item/6149fa53d34e0df5fb96fc26 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. 20260302 Rachel E. Henderson U.S. Geological Survey mailing and physical address

384 Woods Hole Road

Woods Hole MA 02543-1598 USA 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 Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time