Short-term shoreline change rate transects for the South Carolina coastal region using the Digital Shoreline Analysis System version 5.1

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Marie K. Bartlett
Publication_Date: 20230815
Title:

Short-term shoreline change rate transects for the South Carolina coastal region 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/6480bf41d34eac007b57a8d5

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. Mean High Water (MHW) shoreline) is also included in this release.

Purpose:

This dataset describes short-term (up to 18 years) shoreline change rates for the South Carolina coastal region, generated to maintain a national database of shoreline change rates.

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. Short-term rates of shoreline change were calculated with a linear regression rate using only datum-based MHW 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: 2000
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: -80.876515
East_Bounding_Coordinate: -78.554019
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: 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: Mean High Water
Theme_Keyword: Erosion
Theme_Keyword: Accretion
Theme_Keyword: short-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:6480bf41d34eac007b57a8d5

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

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/6480bf41d34eac007b57a8d5?name=SC_rates_ST_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: 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

Edition: 1
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 over time. 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. Shoreline change rates data are provided where there are available shorelines to compute change metrics. Gaps in the lidar coverage may mean not every transect intersects each shoreline date, resulting in gaps in the rates.

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: 20170718
Title:

National assessment of shoreline change – A GIS compilation of updated vector shorelines and associated shoreline change data for the Southeast Atlantic Coast

Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:

Series_Name: data release
Issue_Identification: doi:10.5066/F74X55X7

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 (SC_historical_shorelines). 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

Source_Used_Citation_Abbreviation: SC_historical_shorelines
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:

MHW shorelines (2000-2018), the short-term subset of shorelines used for ST rate calculations, were exported from SC_shorelines and renamed SC_shorelines_ST. Approximately four small shoreline segments from the year 2000 were removed from the subset because they represented an incorrect feature. Short-term 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_ST, transect spacing = 50 meters, search distance = 200 meters, land direction = right, shoreline intersection = seaward, File produced = SC_transects_ST. 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: 2022

Process_Step:

Process_Description:

Short-term rate calculations were performed without a proxy-datum bias correction which was unnecessary, since only datum-based MHW shorelines (200-2018) were used. Parameters Used: shoreline layer= SC_shorelines_ST, shoreline date field = Date_, shoreline uncertainty field name = Uncy, the default accuracy = 5.1 meters, shoreline intersection = seaward, stats calculations = [LRR], [EPR], shoreline threshold = 2, confidence interval = 90%. Files produced = SC_trans_ST_rates_20221208_132715, SC_trans_ST_intersect_20221208_132715.

Process_Date: 20221208

Process_Step:

Process_Description:

The rate feature class was exported to a shapefile 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: 5301

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_ST
Entity_Type_Definition:

Rates of short-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. Short-term date range covers only datum-based, mean high water lidar shorelines and therefore no proxy-datum bias correction was necessary. The shapefiles will have ST for short-term in filename.

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: Coordinates defining the features.

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:

This optional field is a way 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: 2
Range_Domain_Maximum: 5664

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: 2
Range_Domain_Maximum: 3

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: 750.0
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: 2.859
Range_Domain_Maximum: 1163.577

Attribute:

Attribute_Label: EPR
Attribute_Definition:

The end point rate (EPR) is calculated by determining the distance between the oldest and youngest shoreline on a DSAS transect and dividing by the time elapsed between the two shoreline dates.Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) shoreline movement. Reported in meters per year.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -33.32
Range_Domain_Maximum: 30.59

Attribute:

Attribute_Label: LRR
Attribute_Definition:

A linear regression rate-of-change (LRR) 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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format. A value of 9999 in the LRR attribute field along with a ShrCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -32.15
Range_Domain_Maximum: 29.38

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 0.0 to 1.0 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). A value of 9999 in the LR2 attribute field along with a ShrCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.

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. A value of 9999 in the LSE attribute field along with a ShrCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0.0
Range_Domain_Maximum: 437.9

Attribute:

Attribute_Label: LCI90
Attribute_Definition:

he 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. A value of 9999 in the LCI90 attribute field along with a ShrCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.

Attribute_Definition_Source: USGS
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0.0
Range_Domain_Maximum: 219.65

Overview_Description:

Entity_and_Attribute_Overview:

The entity and attribute information provided here describes the tabular data associated with short-term (up to 18 years) shoreline change rates. Only modern, datum-based MHW shorelines are used to calculate short-term rates, therefore the proxy-datum bias correction does not apply. 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 short-term rates of change (SC_rates_ST.shp and other shapefile components), browse graphic (SC_rates_ST_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: 0.13

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/6480bf41d34eac007b57a8d5

Network_Resource_Name:

https://www.sciencebase.gov/catalog/item/6480bf41d34eac007b57a8d5

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

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9LLAZYE/SC_rates_ST.html>