Metadata: Identification_Information: Citation: Citation_Information: Originator: Marie K. Bartlett Publication_Date: 20230815 Title: Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: data release Issue_Identification: doi:10.5066/P9LLAZYE Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program Online_Linkage: https://doi.org/10.5066/P9LLAZYE Online_Linkage: https://www.sciencebase.gov/catalog/item/6480bf65d34eac007b57a91b Larger_Work_Citation: Citation_Information: Originator: Marie K. Bartlett Originator: Amy S. Farris Originator: Kathryn M. Weber Publication_Date: 2023 Title: 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 Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: data release Issue_Identification: doi:10.5066/P9LLAZYE Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: 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. Online_Linkage: https://doi.org/10.5066/P9LLAZYE Online_Linkage: https://www.sciencebase.gov/catalog/item/6480a887d34eac007b5793e9 Description: Abstract: The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release. Purpose: This dataset describes the long-term (up to 166 years) shoreline change rates for the South Carolina coastal region, used to maintain a national database of shoreline change. Supplemental_Information: 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. 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 are then used to calculate rates. This dataset consists of shoreline change rates calculated with DSAS version 5.1 and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1852 Ending_Date: 2018 Currentness_Reference: ground condition at the time of shoreline source data Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -80.876514 East_Bounding_Coordinate: -78.554070 North_Bounding_Coordinate: 33.850439 South_Bounding_Coordinate: 32.080224 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: environment Theme_Keyword: oceans Theme_Keyword: geoscientificInformation Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Baseline Theme_Keyword: Shoreline Theme_Keyword: Shoreline Change Theme_Keyword: Digital Shoreline Analysis System Theme_Keyword: DSAS Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: WHCMSC Theme_Keyword: Atlantic Coast Theme_Keyword: North America Theme_Keyword: Southeast Atlantic Theme_Keyword: South Carolina Theme_Keyword: accretion Theme_Keyword: erosion Theme_Keyword: long-term change rates Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: coastal processes Theme_Keyword: geospatial datasets Theme_Keyword: erosion Theme_Keyword: shoreline accretion Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:6480bf65d34eac007b57a91b Place: Place_Keyword_Thesaurus: None Place_Keyword: Atlantic Coast Place_Keyword: South Carolina Place_Keyword: United States Access_Constraints: None. Use_Constraints: 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. Point_of_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Marie K. Bartlett Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: United States Contact_Voice_Telephone: 508-457-8700 x2306 Contact_Electronic_Mail_Address: mbartlett@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/6480bf65d34eac007b57a91b?name=SC_rates_LT_browse.JPG Browse_Graphic_File_Description: Map view of dataset Browse_Graphic_File_Type: JPEG Native_Data_Set_Environment: Microsoft Windows 10 Esri ArcGIS 10.7.1 Cross_Reference: Citation_Information: Originator: Emily A. Himmelstoss Originator: Amy S. Farris Originator: Rachel E. Henderson Originator: Meredith G. Kratzmann Originator: Ayhan Ergul Originator: Ouya Zhang Originator: Jessica L. Zichichi Originator: E. Robert Thieler Publication_Date: 2021 Title: Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey Software Geospatial_Data_Presentation_Form: publication Series_Information: Series_Name: software release Issue_Identification: version 5.1 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Use the first two links to access the software. The third link directs to the DSAS project page. Current version of software at time of use was 5.1. Online_Linkage: https://code.usgs.gov/cch/dsas/ Online_Linkage: https://doi.org/10.5066/P9VW42I0 Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/ Cross_Reference: Citation_Information: Originator: Emily A. Himmelstoss Originator: Rachel E. Henderson Originator: Meredith G. Kratzmann Originator: Amy S. Farris Publication_Date: 20211019 Title: Digital Shoreline Analysis System (version 5.1) User Guide Geospatial_Data_Presentation_Form: publication Series_Information: Series_Name: Open-File Report Issue_Identification: 2021-1091 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Refer to the DSAS user guide for more information about attribute requirements, accuracy reports, and feature creation. Online_Linkage: https://doi.org/10.3133/ofr20211091 Online_Linkage: https://woodshole.er.usgs.gov/project-pages/DSAS/ Cross_Reference: Citation_Information: Originator: Emily A. Himmelstoss Originator: Meredith G. Kraztmann Originator: E. Robert Thieler Publication_Date: 20170718 Title: National assessment of shoreline change—Summary statistics for updated vector shorelines and associated shoreline change data for the Gulf of Mexico and Southeast Atlantic coasts Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: Open-File Report Issue_Identification: 2017-1015 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.3133/ofr20171015 Online_Linkage: https://pubs.er.usgs.gov/publication/ofr20171015 Cross_Reference: Citation_Information: Originator: Peter Ruggiero Originator: Jeffrey H. List Publication_Date: 200909 Title: Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates Geospatial_Data_Presentation_Form: publication Series_Information: Series_Name: Journal of Coastal Research Issue_Identification: vol. 255 Publication_Information: Publication_Place: Charlotte, NC Publisher: Coastal Education and Research Foundation Other_Citation_Details: ppg. 1069-1081 Online_Linkage: https://doi.org/10.2112/08-1051.1 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: 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. Logical_Consistency_Report: 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. Sometimes transect positions were manually edited within a standard ArcMap edit session to adjust the position at which individual transects intersect the shorelines to better represent an orthogonal position to the general trend of the coast. It is possible that a small (centimeter-scale) offset may occur when projecting from outside of the spatial reference system used for analysis (UTM Zone 17N WGS84). This is an ArcGIS projection issue; rate data are unaffected. Completeness_Report: This dataset contains the transects automatically 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 intersect the minimum requirement of three shorelines, at least one of which must be a modern lidar shoreline. Shoreline change rates data are provided where there are available shorelines to compute change metrics. Though the full database of shorelines was utilized for analysis (1852-2018), gaps in shorelines or lack of lidar data in certain areas may mean that not all transects will incorporate every shoreline date in the rate calculations. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: 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. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Meredith G. Kratzmann Originator: Emily A. Himmelstoss Originator: E. Robert Thieler Publication_Date: 2017 Title: National assessment of shoreline change – A GIS compilation of updated vector shorelines and associated shoreline change data for the Southeast Atlantic Coast Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: data release Issue_Identification: doi:10.5066/F74X55X7 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.5066/F74X55X7 Online_Linkage: https://www.sciencebase.gov/catalog/item/58055f50e4b0824b2d1c1ee7 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1852 Ending_Date: 2000 Source_Currentness_Reference: ground condition at the time of shoreline survey Source_Citation_Abbreviation: SC_historical_shorelines Source_Contribution: These shorelines were combined with new lidar shorelines for 2010, 2017, and 2018 and used within the Digital Shoreline Analysis System version 5.1 to produce long-term shoreline change rates. Process_Step: Process_Description: Historical shoreline data covering the coast of South Carolina from the previously published National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast (USGS data release, https://doi.org/10.5066/F74X55X7.) were compiled and merged into a single feature class within a personal geodatabase in ArcMap v 10.7.1. The data were projected in ArcToolbox v10.7.1 > Data Management Tools > Projections and Transformations > Feature > Project. Parameters: input projection = geographic coordinates (WGS84); output projection = UTM zone 17N (WGS 84); transformation = none. Historical shoreline data covers date range 1852-2000 and includes one lidar-derived shoreline (2000). See associated source metadata (https://www.sciencebase.gov/catalog/item/58b89084e4b01ccd5500c2ac) in larger work citation for complete process steps for historical shoreline delineation. This process step and all subsequent process steps were performed by the same person - Marie K. Bartlett Process_Date: 2022 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Marie K. Bartlett Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: 508-548-8700 x 2306 Contact_Electronic_Mail_Address: mbartlett@usgs.gov Process_Step: Process_Description: The datum-based, MHW shorelines (see larger work citation, SC_shoreline_2010 and SC_shoreline_2017_2018) and historical shorelines compiled for analysis (SC_historical_shorelines) were confirmed to have the same attribute fields required for use in DSAS before they were merged into a single feature class using Esri's ArcToolbox > Data Management > General > Merge, filename= SC_shorelines. Some shoreline segments from 1962 and 2000, and one segment from 1925 were removed from the dataset prior to analysis because they represented the wrong feature. Source_Used_Citation_Abbreviation: SC_historical_shorelines Process_Date: 2022 Process_Step: Process_Description: Transect features were generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= SC_baseline, baseline group field=NULL, shoreline layer= SC_shorelines, transect spacing=50 meters, search distance=1000 meters, land direction=right, shoreline intersection=seaward, File produced = SC_transects_LT. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in the editor toolbar, in ArcMap v10.7.1. 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 Process_Date: 2023 Process_Step: Process_Description: Long-term rate calculations performed producing rates with and without the proxy-datum bias correction. Parameters Used: Shoreline layer = SC_shorelines, Shoreline date field = Date_, shoreline uncertainty field name = Uncy, default accuracy = 5.1 meters, shoreline intersection = seaward, stats calculations = [LRR], shoreline threshold = 3, confidence interval=90%. Files produced = SC_trans_LT_rates_20230504_120014, SC_trans_LT_intersect_20230504_120014. 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. Uncertainty for historical shorelines (1852-2000) is found in Kratzmann and others, 2017, which is listed as a source citation in this metadata file. The historical shoreline database contains both MHW and HWL shorelines thus a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation (see larger work citation, SC_bias_feature). For more information about the origin of the PDB see Ruggiero and List (2009), which is cross-referenced in this metadata file. Rate statistics are presented with and without the PDB correction applied, denoted in the transects/rates attribute table with “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table. Process_Date: 2023 Process_Step: Process_Description: The rate feature class was exported to shapefiles in ArcMap v10.7.1 by right-clicking the transect layer > data > export data. Coordinate system: UTM Zone 17N (WGS84) Process_Date: 2023 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: String Point_and_Vector_Object_Count: 5595 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 17 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -81.0 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.6096 Ordinate_Resolution: 0.6096 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: WGS_1984 Ellipsoid_Name: WGS_84 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: SC_rates_LT Entity_Type_Definition: Rates of long-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for long-term shoreline change rates with and without the proxy-datum bias correction applied. The shapefiles will have LT for long-term in filename. Rate calculations without the proxy-datum bias correction applied will have "NB_" In the attribute field title. Entity_Type_Definition_Source: U.S. Geological Survey (USGS) Attribute: Attribute_Label: FID Attribute_Definition: Internal feature number. Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Shape Attribute_Definition: Feature geometry. Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Feature geometry. Rates are polyline shapefiles. Attribute: Attribute_Label: BaselineID Attribute_Definition: 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. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 26 Attribute: Attribute_Label: GroupID Attribute_Definition: Optional field to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 26 Attribute: Attribute_Label: TransOrder Attribute_Definition: 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. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 13 Range_Domain_Maximum: 6118 Attribute: Attribute_Label: Azimuth Attribute_Definition: 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. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.06 Range_Domain_Maximum: 360.0 Attribute: Attribute_Label: ShrCount Attribute_Definition: Number of shorelines used to compute shoreline change metrics. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 3 Range_Domain_Maximum: 10 Attribute: Attribute_Label: TCD Attribute_Definition: 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. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 700.0 Range_Domain_Maximum: 347749.96 Attribute: Attribute_Label: SHAPE_Leng Attribute_Definition: Length of feature in meter units (UTM zone 17N, WGS 84) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 37.358 Range_Domain_Maximum: 2170.449 Attribute: Attribute_Label: LRR Attribute_Definition: 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 and negative values indicating erosion. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -17.17 Range_Domain_Maximum: 14.59 Attribute: Attribute_Label: NB_LRR Attribute_Definition: The LRR without the bias correction applied. 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. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -17.0 Range_Domain_Maximum: 14.75 Attribute: Attribute_Label: LR2 Attribute_Definition: The R-squared statistic, or coefficient of determination, is the percentage 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). Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.0 Range_Domain_Maximum: 1.0 Attribute: Attribute_Label: NB_LR2 Attribute_Definition: The LR2 without the bias correction applied. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.0 Range_Domain_Maximum: 1.0 Attribute: Attribute_Label: LSE Attribute_Definition: 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. These are positive decimal values in meters. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.4 Range_Domain_Maximum: 665.49 Attribute: Attribute_Label: NB_LSE Attribute_Definition: The LSE without the bias correction applied. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.74 Range_Domain_Maximum: 664.45 Attribute: Attribute_Label: LCI90 Attribute_Definition: The 90 percent confidence interval (LCI90) 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 and LCI90 = 0.7 could be reported as a rate of 1.2 (+/-) 0.7 meters/year. These are positive decimal values in meters. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.02 Range_Domain_Maximum: 37.3 Attribute: Attribute_Label: NB_LCI90 Attribute_Definition: The LCI90 without the bias correction applied. These are positive decimal values in meters. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.02 Range_Domain_Maximum: 36.89 Overview_Description: Entity_and_Attribute_Overview: The entity and attribute information provided here describes the tabular data associated with long-term shoreline change rates. Long-term rates incorporate the known unidirectional offset between proxy-based high water line features and datum-based mean high water line features (the proxy-datum bias). Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units and were based on the UTM zone 17N WGS 84 projection. Entity_and_Attribute_Detail_Citation: U.S. Geological Survey Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: USGS ScienceBase Contact_Address: Address_Type: mailing address Address: Denver Federal Center, Building 810, Mail Stop 302 City: Denver State_or_Province: CO Postal_Code: 80225 Country: United States Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: The dataset contains the polyline shapefile of South Carolina long-term rates of change (SC_rates_LT.shp and other shapefile components), browse graphic (SC_rates_LT_browse.JPG), and the FGDC CSDGM metadata in XML format. Distribution_Liability: 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. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: Shapefile Format_Version_Number: ArcGIS 10.7.1 Format_Specification: Esri Polyline Shapefile Format_Information_Content: 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 FGDC CSDGM-compliant metadata in XML format. Transfer_Size: 0.29 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P9LLAZYE Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/6480bf65d34eac007b57a91b Network_Resource_Name: https://www.sciencebase.gov/catalog/item/6480bf65d34eac007b57a91b Access_Instructions: 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. Fees: None. Metadata_Reference_Information: Metadata_Date: 20230815 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Marie K. Bartlett Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Country: USA Contact_Voice_Telephone: 508-548-8700 x2306 Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov Contact_Instructions: The metadata contact email address is a generic address in the event the person is no longer with USGS. Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998