Metadata: Identification_Information: Citation: Citation_Information: Originator: Marie K. Bartlett Originator: Amy S. Farris Originator: Rachel E. Henderson Publication_Date: 20230815 Title: SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System 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/6480c553d34eac007b57bbb8 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 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 feature records the proxy-datum bias (PDB) and the uncertainty in the PDB. The "bias feature" is a shapefile representation the proxy-datum bias (PDB) data previously published in tabular format (Himmelstoss and others, 2010, and Himmelstoss and others, 2018). These PDB data are used to shift older proxy-based shorelines so that they can be directly compared to newer datum-based shorelines and accurate rates can be calculated. These data are provided for users of the ArcGIS DSAS extension and should only be used to determine the corrected change rate when both datum-based (e.g. MHW) and proxy-based (e.g. HWL) shorelines are included in the dataset. In this publication, the proxy-based shorelines used in the analysis are from Kratzmann and others, 2017. Supplemental_Information: Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2018 Currentness_Reference: ground condition at the time of elevation source data Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -80.878051 East_Bounding_Coordinate: -78.550084 North_Bounding_Coordinate: 33.855480 South_Bounding_Coordinate: 32.080213 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: oceans Theme_Keyword: environment Theme_Keyword: geoscientificInformation Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Coastal and Marine Hazards and Resources Program Theme_Keyword: CMGP Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: National Oceanic and Atmospheric Administration Theme_Keyword: NOAA Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: Coastal Services Center Theme_Keyword: CSC Theme_Keyword: DSAS Theme_Keyword: USGS National Shoreline Change Project Theme_Keyword: Digital Shoreline Analysis System Theme_Keyword: proxy-datum bias Theme_Keyword: PDB Theme_Keyword: Coastal and Marine Geology Program Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: geospatial datasets Theme_Keyword: coastal processes Theme_Keyword: erosion Theme_Keyword: shoreline accretion Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:6480c553d34eac007b57bbb8 Place: Place_Keyword_Thesaurus: None Place_Keyword: United States Place_Keyword: Atlantic Coast Place_Keyword: South Carolina Access_Constraints: None Use_Constraints: These data were generated for use within the DSAS v5.1 software, with shoreline data that has both mean high water (MHW) and high water line (HWL) data types present. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. These data should not be used for any purpose other than that for which they are intended. The United States Geological Survey does not guarantee its validity. Assumptions, analyses, opinions, and actual outcomes may vary. The user should always verify actual data and exercise their own professional judgment when interpreting any outcomes. These data should not be used for any purpose other than that for which they are intended. The United States Geological Survey does not guarantee its validity. Assumptions, analyses, opinions, and actual outcomes may vary. The user should always verify actual data and exercise their own professional judgment when interpreting any outcomes. 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_Organization_Primary: Contact_Organization: Rachel E. Henderson Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Country: US Contact_Voice_Telephone: 508-548-8700 Contact_Facsimile_Telephone: 508-547-2310 Contact_Electronic_Mail_Address: rehenderson@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/6480c553d34eac007b57bbb8?name=SC_bias_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: 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 Cross_Reference: Citation_Information: Originator: Emily A. Himmelstoss Originator: Meredith G. Kratzmann Originator: E. Robert Thieler Publication_Date: 2017 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 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 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: 2018 Title: Digital Shoreline Analysis System (version 5.1): U.S. Geological Survey Software Geospatial_Data_Presentation_Form: software Series_Information: Series_Name: Software 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 software at time of use was 5.1. Online_Linkage: https://doi.org/10.5066/P9VW42I0 Online_Linkage: https://code.usgs.gov/cch/dsas/ Online_Linkage: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Cross_Reference: Citation_Information: Originator: Emily A. Himmelstoss Originator: Rachel E. Henderson Originator: Meredith G. Kratzmann Originator: Amy S. Farris Publication_Date: 2021 Title: Digital Shoreline Analysis System (DSAS) Version 5.1 User Guide Geospatial_Data_Presentation_Form: Open-File Report 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: Use the first two links to access the user guide. The third link directs to the DSAS project page. Online_Linkage: https://doi.org/10.3133/ofr20211091 Online_Linkage: https://pubs.er.usgs.gov/publication/ofr20211091 Online_Linkage: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas Cross_Reference: Citation_Information: Originator: Hillary F. Stockdon Originator: Asbury H. Sallenger Originator: Jeffrey H. List Originator: Rob A. Holman Publication_Date: 2002 Title: Estimation of shoreline position and change using airborne topographic lidar data Geospatial_Data_Presentation_Form: publication Series_Information: Series_Name: Journal of Coastal Research Issue_Identification: vol. 18 Publication_Information: Publication_Place: Charlotte, NC Publisher: Coastal Education and Research Foundation Other_Citation_Details: Suggested citation: Stockdon, H.F., Sallenger, A.H., List, J.H., and Holman, R.A., 2002, Estimation of shoreline position and change using airborne topographic lidar data:  Journal of Coastal Research, v.18, no. 3, p. 502-513., https://www.jstor.org/stable/4299097 Online_Linkage: https://www.jstor.org/stable/4299097 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 in this feature class record positional and measurement uncertainties and datum offsets calculated from averaged slope data (2010-2018) and local wave data. The field names are based on the requirements for use within the Digital Shoreline Analysis System (DSAS) software (Himmelstoss and others, 2018). Logical_Consistency_Report: Each line segment is a copy of the polyline baseline data for the area. The proxy-datum bias and bias uncertainty for each line segment are calculated using the slope data from available lidar surveys for the area (see process steps for details). Attributes populated include numerical values for adjusted bias (bias) and bias uncertainty (bias_uncy). Completeness_Report: The feature contains bias and uncertainty data where lidar data was available for the area. Adjustments were made where applicable after a visual inspection of the coastal shoreline type using high resolution digital imagery. Areas where bias is applied include open ocean sandy shorelines. Areas where bias was not applied include proximity to inlets, back barrier or marsh areas, rocky headlands and shoreline protection structures. In some cases the bias was adjusted to match adjacent bias values with similar morphology. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: The horizontal location of the bias feature is coincident with the DSAS baseline. The baseline serves as a reference point for transects cast by the DSAS software. The baseline and bias feature do not correspond to any real-world feature. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: NOAA Office for Coastal Management (NOAA/OCM) Publication_Date: 20160523 Title: 2010 USACE NCMP Topobathy Lidar: Atlantic Coast (NC, SC, GA, FL) Edition: 1.0 Geospatial_Data_Presentation_Form: raster digital data Publication_Information: Publication_Place: Charleston, SC Publisher: Office for Coastal Management Online_Linkage: https://www.fisheries.noaa.gov/inport/item/50093 Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/-9000918.702749213,3788219.1218133345,-8817469.834864791,3950265.6217779084/details/1070 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20100501 Ending_Date: 20100504 Source_Currentness_Reference: ground condition at the time of survey Source_Citation_Abbreviation: 2010 SC Lidar Source_Contribution: Point cloud data used to extract the 2010 MHW shoreline position and calculate slope around MHW along a profile. Source_Information: Source_Citation: Citation_Information: Originator: NOAA Office for Coastal Management (NOAA/OCM) Publication_Date: 20170913 Title: 2017 USACE NCMP Topobathy Lidar: East Coast (NY, NJ, DE, MD, VA, NC, SC, GA) Edition: 1 Geospatial_Data_Presentation_Form: raster digital data Publication_Information: Publication_Place: Charleston, SC Publisher: Office for Coastal Management Online_Linkage: https://www.fisheries.noaa.gov/inport/item/52444 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20170709 Ending_Date: 20170807 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: 2017 SC Lidar Source_Contribution: Point cloud data used to extract the 2017 MHW shoreline position and calculate slope around MHW along a profile. Source_Information: Source_Citation: Citation_Information: Originator: NOAA Office for Coastal Management (NOAA/OCM) Publication_Date: 20181108 Title: 2018 USACE NCMP Topobathy Lidar: East Coast (CT, MA, ME, NC, NH, RI, SC) Edition: 1 Geospatial_Data_Presentation_Form: Vector digital data Publication_Information: Publication_Place: Charleston, SC Publisher: Office for Coastal Management Online_Linkage: https://www.fisheries.noaa.gov/inport/item/55881 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20180525 Ending_Date: 20180618 Source_Currentness_Reference: ground condition at the time of survey Source_Citation_Abbreviation: 2018 SC Lidar Source_Contribution: Point cloud data used to extract the 2018 MHW shoreline position and calculate slope around MHW along a profile. Process_Step: Process_Description: Step 1: The proxy-datum bias calculation is made possible by utilizing data acquired in the processing for the profile method of shoreline extraction similar to the one developed by Stockdon and others (2002). This method extracts an elevation-based shoreline from point cloud lidar data using a Matlab-based approach (Matlab version 2015b). Using a coast-following reference line with 20 m spaced cross shore profiles, lidar data is analyzed within a two-meter swath around each profile. This method is used to extract the mean high water (MHW) shoreline, as well as slope, and uncertainty information. For South Carolina, the slope and uncertainty information at each profile was averaged over time using data from the years 2010, 2017 and 2018 where available. Stockdon, H.F., Sallenger, A.H., List, J.H., and Holman, R.A., 2002, Estimation of shoreline position and change using airborne topographic lidar data:  Journal of Coastal Research, v.18, no. 3, p. 502-513. [Also available at https://www.jstor.org/stable/4299097] Source_Used_Citation_Abbreviation: 2010 SC Lidar Source_Used_Citation_Abbreviation: 2017 SC Lidar Source_Used_Citation_Abbreviation: 2018 SC Lidar Process_Date: 2022 Source_Produced_Citation_Abbreviation: avg slope data Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Amy S. Farris Contact_Position: Oceanographer Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2344 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: afarris@usgs.gov Process_Step: Process_Description: Step 2: There is a known horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines on open-ocean sandy beaches that nearly always acts in one direction (Ruggiero and List, 2009). This bias is called the proxy-datum bias (PDB). The PDB is primarily due to wave run-up and thus is affected by the slope of the foreshore and the movement of water (waves, tides) onto the foreshore, see equation for the PDB and the PDB uncertainty in Ruggiero and List, 2009. These equations require beach slope and wave data. Ideally data collected at the time the proxy-based shoreline was collected would be used, however, for our purposes the PDB is estimated by averaging all available slope data (described in step 1) and averaging at least 10 years of historical wave data from a nearby buoy (https://www.ndbc.noaa.gov/) and the U.S. Wave Information Study (WIS - https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00071) The resulting PDB and PDB uncertainty is stored to a point shapefile at the intersection of the each profile with the coast-following reference line. Ruggiero, P., and List, J.H., 2009, Improving accuracy and statistical reliability of shoreline position and change rate estimates: Journal of Coastal Research, v. 25, no. 5, p. 1069-1081. [Also available at https://www.jstor.org/stable/27752753] National Data Buoy Center, National Oceanic and Atmospheric Administration (NOAA) Stennis Space Center, MS 39529 https://www.ndbc.noaa.gov/ U.S. Wave Information Study, DOC/NOAA/NESDIS/NCEI National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce, https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00071 Source_Used_Citation_Abbreviation: avg slope data Source_Used_Citation_Abbreviation: buoy data Process_Date: 2022 Source_Produced_Citation_Abbreviation: bias point data Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Amy S. Farris Contact_Position: Oceanographer Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Country: US Contact_Voice_Telephone: 508-548-8700 x2344 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: afarris@usgs.gov Process_Step: Process_Description: Step 3: To be used with DSAS, the data from the bias points must be connected to a shapefile that is near or adjacent to the DSAS baseline. However, the resulting bias points from the lidar shoreline extraction do not always fall near the baseline. The following steps (Step 4 - Step 9) detail how a series of transects are created to connect the point bias data to a coast following polyline feature. The following process steps were performed by the same person, Marie K. Bartlett. Process_Date: 2022 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marie K. Bartlett Contact_Address: Address_Type: mailing and physical address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Country: USA Contact_Voice_Telephone: 508-548-8700 x2600 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: mbartlett@usgs.gov Process_Step: Process_Description: Step 4. A personal geodatabase was created and the baseline and sample shorelines for the project area were added (see larger work citation for data). Using DSAS v5.1, the default parameters were set for midshore baseline. Transects were cast using 20-meter spacing, a search distance of 1000, and smoothing distance of 2000. Once cast, the transects were evaluated with the original bias points to ensure the transects overlapped with the bias points and baseline. If needed, the transects were recast with a larger search distance. Process_Date: 2022 Source_Produced_Citation_Abbreviation: transects Process_Step: Process_Description: Step 5. The data from the original bias points are transferred to the transects, using the ArcTool “Spatial Join” (ArcToolbox > Analysis Tools > Overlay > Spatial Join). The resulting Bias_transect contains all the original bias information. The Bias_transect is then converted to a midpoint using the ArcTool "Feature Vertices to Points" (ArcToolbox > Data Management Tools > Features > Feature Vertices to Points) and selecting the midpoint option. As the transects were cast with the midshore baseline options, the midpoint will intersect the baseline. The resulting Bias_midpoint, contains all the original bias information. Source_Used_Citation_Abbreviation: bias point data Source_Used_Citation_Abbreviation: transects Process_Date: 2022 Source_Produced_Citation_Abbreviation: Bias_midpoint Process_Step: Process_Description: Step 6. A copy of the baseline is created, and split into 20-meter increments, to match the spacing and detail of the bias_midpoint feature. Points spaced at 20 meters along the original baseline were created using the ArcTool "Generate Points along Lines" at a distance of 20 meters. Then the ArcTool "Split Line at Point" was used with the copy of the baseline, to generate a new feature that has 20 meter segments: Feature_20m. Source_Used_Citation_Abbreviation: Bias_midpoint Process_Date: 2022 Source_Produced_Citation_Abbreviation: Feature_20m Process_Step: Process_Description: Step 7. The data from Bias_midpoint are transferred to the new baseline Feature_20m, using the ArcTool “Spatial Join” (ArcToolbox > Analysis Tools > Overlay > Spatial Join) resulting in a new polyline feature (Feature_wbias) containing all the original bias information, at 20 meter increments. Source_Used_Citation_Abbreviation: bias point data Process_Date: 2022 Source_Produced_Citation_Abbreviation: Feature_wbias Process_Step: Process_Description: Step 8. The ArcTool "Unsplit Line" (ArcToolbox > Data Management Toolbox > Features > Unsplit Line) was used to reconnect any adjacent 20 meter segment with the same bias, and bias uncertainty values, reducing the number of small segments of bias feature. The final bias feature shapefile holds the bias and the bias uncertainty. These components are used by DSAS v5.1 to apply the proxy-datum bias correction to shoreline change calculations. Source_Used_Citation_Abbreviation: Feature_wbias Process_Date: 2022 Source_Produced_Citation_Abbreviation: Bias_Feature Process_Step: Process_Description: Step 9. The Bias_Feature was imported into a personal geodatabase in ArcCatalog v10.5 by right-clicking on the geodatabase > Import > Feature class (single). The feature class is used with the Digital Shoreline Analysis System (DSAS) v5.1 software to apply the proxy-datum bias to rate calculations. Process_Date: 2022 Process_Step: Process_Description: Step 10. The bias_feature was exported from a personal geodatabase in ArcCatalog v10.5 by right-clicking on the geodatabase > Export > Feature class (single). Coordinate System: UTM Zone 17N (WGS84) Source_Used_Citation_Abbreviation: Bias_Feature Process_Date: 2022 Source_Produced_Citation_Abbreviation: SC_Bias_Feature 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: 347 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_bias_feature Entity_Type_Definition: Table containing attribute information associated with the data set. 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. The feature is a polyline shapefile. Attribute: Attribute_Label: bias Attribute_Definition: This field heading is case-sensitive and name specific. The field contains a proxy-datum bias value describing the unidirectional horizontal offset (in meters) between the MHW elevation of the lidar data and HWL shoreline positions. Values of 0.001 represent areas where no bias was applied. For details on the components that make up the proxy-datum bias, refer to the Methods section of USGS Open-File Report 2010-1118 cross-referenced in the metadata Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.001 Range_Domain_Maximum: 20.447 Attribute: Attribute_Label: bias_uncy Attribute_Definition: The field contains the plus/minus horizontal uncertainty (meters) in the lidar shoreline position at each cross-shore beach profile. Values of 0.001 represent areas where no bias was applied. For details on the components that make up this uncertainty, refer to the Methods section of USGS Open-File report 2010-1118 cross-referenced in the metadata. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.001 Range_Domain_Maximum: 10.760 Attribute: Attribute_Label: Shape_Leng Attribute_Definition: Length of feature in meter units (WGS 1984 UTM Zone 17N) Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 6.389 Range_Domain_Maximum: 5165.921 Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: USGS ScienceBase Contact_Address: Address_Type: mailing and physical Address: Federal Center, Building 810, MS 302 City: Denver State_or_Province: CO Postal_Code: 88025 Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: The dataset contains the polyline shapefile of the proxy-datum bias and its uncertainty, (SC_Bias_Feature.shp and other shapefile components), browse graphic (SC_Bias_Feature_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. 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: 0.14 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/6480c553d34eac007b57bbb8 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/6480c553d34eac007b57bbb8 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_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marie K. Bartlett 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 Country: US Contact_Voice_Telephone: 508-548-8700 x 2306 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 Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time