Metadata: Identification_Information: Citation: Citation_Information: Originator: Emily J. Sturdivant Originator: Sara L. Zeigler Originator: Benjamin T. Gutierrez Originator: Kathryn M. Weber Publication_Date: 20191220 Title: DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Monomoy Island, MA, 2014 Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9V7F6UX 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/P9V7F6UX Online_Linkage: https://www.sciencebase.gov/catalog/item/5daa3729e4b09fd3b0c9ce27 Larger_Work_Citation: Citation_Information: Originator: Emily J. Sturdivant Originator: Sara L. Zeigler Originator: Benjamin T. Gutierrez Originator: Kathryn M. Weber Publication_Date: 2019 Title: Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014 Edition: 1.0 Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9V7F6UX Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX. Online_Linkage: https://doi.org/10.5066/P9V7F6UX Online_Linkage: https://www.sciencebase.gov/catalog/item/5d5ece47e4b01d82ce961e36 Description: Abstract: Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise. Purpose: These datasets measure positions of geomorphic features, specifically dune crests, dune toes, and mean high water (MHW) shoreline pertaining to sandy beaches at Monomoy Island, MA in 2014. They can be used to calculate beach width and height. The source data were created for the purpose of modeling coastal hazards related to dune overtopping. Supplemental_Information: Another version of these datasets is available at https://doi.org/10.5066/f7gf0s0z (Doran and others, 2017). The data were made available to this project prior to being released by Doran and others (2017). Slight differences between the two versions may be caused by data clean-up that was performed by this project in some cases. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20131116 Ending_Date: 20141227 Currentness_Reference: Ground condition measured by source lidar data. Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -70.00379772 East_Bounding_Coordinate: -69.9438812 North_Bounding_Coordinate: 41.67572842 South_Bounding_Coordinate: 41.53990605 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:5daa3729e4b09fd3b0c9ce27 Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: oceans Theme_Keyword: geoscientificInformation Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Barrier Island Theme_Keyword: USGS Theme_Keyword: CMHRP Theme_Keyword: Geographic Information Systems Theme_Keyword: GIS Theme_Keyword: U.S. Geological Survey Theme_Keyword: Coastal and Marine Hazards and Resources Program Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: St. Petersburg Coastal and Marine Science Center Theme_Keyword: MHW Theme_Keyword: Mean High Water Theme_Keyword: Coastal Hazards Theme_Keyword: Monomoy Island Theme_Keyword: Monomoy National Wildlife Refuge Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: geospatial datasets Theme_Keyword: geospatial analysis Theme_Keyword: geomorphology Theme_Keyword: transect sampling Place: Place_Keyword_Thesaurus: None Place_Keyword: Massachusetts Place_Keyword: MA Place_Keyword: Cape Cod Place_Keyword: Monomoy Island Place_Keyword: Monomoy National Wildlife Refuge Place_Keyword: North America Place_Keyword: United States Place_Keyword: USA Place_Keyword: Atlantic Ocean 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 (USGS) as the source of this information. Point_of_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Sara L. Zeigler Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: United States Contact_Voice_Telephone: 508-548-8700 x2290 Contact_Electronic_Mail_Address: szeigler@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/5daa3729e4b09fd3b0c9ce27/?name=DC_DT_SLpts_asis_browse.png Browse_Graphic_File_Description: Example geomorphology points (mean high water shoreline, dune toe, and dune crest) overlain on the DEM. This example is for Assateague Island, MD and may not represent this dataset. Browse_Graphic_File_Type: PNG Cross_Reference: Citation_Information: Originator: Sara L. Zeigler Originator: Emily J. Sturdivant Originator: Benjamin T. Gutierrez Publication_Date: 2019 Title: Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology Series_Information: Series_Name: Open-File Report Issue_Identification: 2019–1071 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Details the methods used to process these data for use in barrier island and piping plover habitat modeling. Online_Linkage: https://doi.org/10.3133/ofr20191071 Cross_Reference: Citation_Information: Originator: Emily J. Sturdivant Publication_Date: 2019 Title: bi-transect-extractor Edition: 1.0 Series_Information: Series_Name: software release Issue_Identification: DOI:10.5066/P915UYMY Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Custom-built package used for data processing. The Jupyter notebook file distributed with these data were part of the processing to create these data. The notebook relies on this software package. Online_Linkage: https://doi.org/10.5066/P915UYMY Online_Linkage: https://code.usgs.gov/cmgp/bi-transect-extractor Cross_Reference: Citation_Information: Originator: Kathryn M. Weber Originator: Jeffrey H. List Originator: Karen L. M. Morgan Publication_Date: 2005 Title: An Operational Mean High Water Datum for Determination of Shoreline Position from Topographic Lidar Data Series_Information: Series_Name: Open-File Report Issue_Identification: 2005-1027 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Provides regional mean high water elevation used to determine shoreline position. Online_Linkage: https://pubs.usgs.gov/of/2005/1027/ Cross_Reference: Citation_Information: Originator: Kara J. Doran Originator: Joseph W. Long Originator: Justin J Birchler Originator: Owen T. Brenner Originator: Matthew W. Hardy Originator: Karen L. M. Morgan Originator: Hilary F. Stockdon Originator: Miguel L. Torres Publication_Date: 2017 Title: Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines Geospatial_Data_Presentation_Form: tabular digital data Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Affiliated datasets created using the same methods. A version of this geomorphology points dataset is available as 13CNT05_morphology.zip. These data were made available to us prior to publication and as a result, processing steps may differ from what is described here. Online_Linkage: https://doi.org/10.5066/F7GF0S0Z Cross_Reference: Citation_Information: Originator: Hilary F. Stockdon Originator: Kara J. Doran Originator: D. M. Thompson Originator: K. L. Sopkin Originator: Nathaniel G. Plant Originator: Asbury H. Sallenger Publication_Date: 2012 Title: National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico Series_Information: Series_Name: Open-File Report Issue_Identification: 2012–1084 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Provides the methods for feature extraction (pp. 17–23). Online_Linkage: https://pubs.usgs.gov/of/2012/1084/ Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: Horizontal and vertical accuracy were estimated and recorded automatically during processing (see sections Positional Accuracy and Entity and Attribute Information). All output feature positions were manually verified against external aerial imagery and elevation data; positions deemed incorrect were manually deleted or relocated. Logical_Consistency_Report: This dataset consists of three point shapefile datasets produced from elevation data and tidal datum values through an automated process described below. It was not explicitly checked for topological consistency, but feature locations were verified by displaying them with aerial imagery and digital elevation models. Incorrect feature positions were manually deleted or relocated. Alongshore gaps of feature positions exist where the feature could not be accurately located along the profile. Additionally, shoreline points were removed where groups of three or fewer consecutive points were separated from the shoreline trend in the surrounding areas. Dune crest positions may indicate the seaward edge of the bluff or hard structure or the peak of the berm rather than a dune crest. Dune toe position is only determined for a given profile if certain criteria are met (see first process step for details). The shoreline elevation is considered the elevation of mean high water (MHW) as documented by Weber and others (2005). Completeness_Report: These data include dune crest positions and elevations (mon14_DCpts.shp), dune toe positions and elevations (mon14_DTpts.shp), and MHW shoreline positions (mon14_SLpts.shp). Processing attempted to locate positions every 10 m alongshore, but alongshore gaps greater than 10 m exist where features could not be accurately located along the cross-shore processing profile. Dune toe position is only determined for a given profile if certain criteria are met (see first process step for details). During post-processing, shoreline points were removed where groups of three or fewer consecutive points were separated from the shoreline trend in the surrounding areas. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Horizontal accuracy is dependent on the lidar point uncertainty and the density of and scatter in the lidar data points. For the shoreline points (mon14_SLpts.shp) cross-shore positional accuracy is estimated by calculating the 95% confidence interval of the linear regression through the shoreline position. It is reported in the field 'ci95xsl'. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Vertical accuracy is determined for each dune crest (mon14_DCpts.shp) feature and dune toe (mon14_DTpts.shp) feature based upon the scatter of data in the lidar grid cell. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP) Publication_Date: 20160523 Title: 2013-2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (MA, NH, RI) Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4914 Online_Linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid12b/data/4914 Type_of_Source_Media: digital data Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20131116 Ending_Date: 20141227 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: Lidar point cloud Source_Contribution: Lidar survey that was used to estimate dune morphology variables. Process_Step: Process_Description: A customized MATLAB routine was used to extract beach and dune morphology. The routine determines the position of the mean high water (MHW) shoreline and the position and elevation of dune toe and dune crest. The routine is summarized below. Refer to Stockdon and others (2012) for details and figures. A version of these data was released in Doran and others (2017). Processing was performed in MATLAB version 2017a. Source lidar point clouds were adjusted to NAVD88 through a MHW-correction factor. The NAVD88 elevation of MHW is 0.39 m for the region encompassing Monomoy Island (Weber and others, 2005). The input lidar dataset was the lidar point cloud (see Source Information section). The automated routine (see below) was executed iteratively to optimize the parameters based on visual comparison with high-resolution imagery. Results were considered low quality and required modifications to the parameters if numerous feature positions appeared to be erroneous or if there were large alongshore gaps in the output features. Once optimal parameters were determined, the routine was run for a final time. The shoreline position extraction selects the MHW shoreline grid cell within a dynamic distance of a prior shoreline. Stockdon and others (2012, p. 18) used a distance of 3 standard deviations of all shoreline positions within the grid segment. Starting with 3 standard deviations, the search distance was optimized to produce both quality and quantity of shoreline points as determined by the operator through trial and error. This usually resulted in a search distance between 0.5 and 3 standard deviations of the shoreline points within the grid segment. The prior shoreline was a first approximation and was selected as the most recent shoreline in a shoreline database. The following summarizes the feature extraction routine: First, lidar point cloud data are interpolated to 10 m (alongshore) by 2.5 m (cross-shore) grids oriented parallel to a roughly shore-parallel reference line that is used for all such feature extractions (Doran and others, 2017). Interpolation uses a Hanning window that is twice as wide as the grid resolution to minimize noise. Automated routines then identify the position of the three features (dune crest, shoreline, and dune toe) for each elevation profile. Each step is performed by a separate MATLAB program. To determine the dune crest position, the algorithm selects the peak of the most seaward sand dune. It does so by classifying inflection points in cross-shore slope as morphologic crests and troughs and identifying the highest crest elevation as the primary dune. In the absence of a dune, the beach berm or seaward edge of the bluff or hard structure (e.g., road, parking lot, seawall) was extracted. The selection is limited to areas within 200 m of the shoreline, seaward of built structures, less than 0.5 m vertical error, and higher than the MHW elevation. For each profile, the position of the MHW shoreline is determined. The cross-shore location of the MHW shoreline is automatically extracted with the incorporation of the RMS error surface. The probability that a grid cell elevation value is equal to MHW elevation is estimated from a normal distribution of beach elevation. The grid cell with the highest probability within a defined dynamic distance (standard deviation multiplier of all shoreline points within the grid segment) of a prior shoreline is selected as the most likely shoreline. The dynamic search distance varies based on the generalized beach width of the region. A more precise location of MHW is determined by fitting a linear regression through adjacent grid cells and evaluating regression at the elevation of MHW. A confidence interval for the estimate is defined from the regression error. Once the dune crest position is established, the dune toe position is determined. First, if the dune crest position is understood to represent a beach berm because the elevation is less than the high water line (HWL), dune toe position is not determined for the given profile. In the remainder of cases, dune toe is identified as the point of maximum slope change between the shoreline and the dune crest unless the elevation of that point is within 0.5 m of the dune crest elevation or the curvature of the profile around the dune toe was negative. The feature positions resulting from the automated routine are manually verified by overlaying the horizontal positions on high-resolution coastal imagery. Profiles with identified inconsistencies are viewed in a customized MATLAB Graphical User Interface (GUI) that displays the features with the lidar data (interpolated and point cloud) and allows the operator to relocate or delete feature positions. High density of built structures and complex topography often cause errors in the feature positions that require manual editing. The positions are exported from Matlab with geographic coordinate values (WGS84) in a table of comma-separated values and converted to an Esri shapefile in NAD83 UTM Zone 19N (Make XY Event Layer tool in ArcGIS 10.5). Coordinates were transformed from WGS84 to NAD83 using the transformation WGS_1984_(ITRF00)_To_NAD_1983 (WKID: 108190, accuracy: 0.1 m). Source_Used_Citation_Abbreviation: Lidar point cloud Process_Date: 2017 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kathryn M Weber Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: United States Contact_Voice_Telephone: 508-457-8700 x2351 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: kweber@usgs.gov Process_Step: Process_Description: Positions were converted from a table of comma-separated values to a shapefile using the function functions_warcpy.MorphologyCSV_to_FCsByFeature in the python package bi-transect-extractor (Sturdivant, 2019; version 1.0). The dune crest, dune toe, and shoreline positions were overlaid on the DEM in ArcGIS 10.5 to check for incongruences between the morphology points and the elevation. Features that displayed logical inconsistency relative to the other features were flagged. For example, dune toe and crest points located seaward of shoreline points would be flagged and evaluated with reference to the DEM to determine which of the features were the more accurate. Shoreline points were removed where groups of three or fewer consecutive points (occupying 20 m or less alongshore) were separated from the shoreline trend in the surrounding areas (a general line suggested by the rest of the shoreline points and inferred by the operator). This is because sandy shorelines are expected to be generally linear features and these irregularities are often caused by an adjoining bar. Finally, the points were converted from shapefile format to comma-separated text using the ArcGIS tool Export Table (version 10.5). Both the shapefile and the CSV files are included in this data release. Process_Date: 2018 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Emily J Sturdivant Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-457-8700 x2230 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: esturdivant@usgs.gov Process_Step: Process_Description: Added keywords section with USGS persistent identifier as theme keyword. Process_Date: 20200810 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: VeeAnn A. Cross Contact_Position: Marine 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 x2251 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 18 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -69 Latitude_of_Projection_Origin: 0 False_Easting: 500000.0 False_Northing: 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: North_American_Datum_1983 Ellipsoid_Name: GRS_1980 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257222101 Vertical_Coordinate_System_Definition: Altitude_System_Definition: Altitude_Datum_Name: NAVD88 Altitude_Resolution: 0.000001 Altitude_Distance_Units: meter Altitude_Encoding_Method: Attribute values Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: mon14_DCpts Entity_Type_Definition: Attribute values of 1148 dune crest positions recorded in the Esri shapefile mon14_DCpts.shp. Entity_Type_Definition_Source: 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: tile Attribute_Definition: Tile ID number used in processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 19 Range_Domain_Maximum: 19 Attribute_Units_of_Measure: integer Attribute: Attribute_Label: seg Attribute_Definition: Segment ID number used in processing (also labeled "segment"). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 9 Attribute: Attribute_Label: profile Attribute_Definition: Grid row number corresponding to a cross-shore profile location within the given segment. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 312 Attribute: Attribute_Label: lon_sm Attribute_Definition: Longitude in WGS 84. Negative values indicate western hemisphere. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -70.0062390938 Range_Domain_Maximum: -69.9448920337 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: lat_sm Attribute_Definition: Latitude in WGS 84 Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 41.5403060173 Range_Domain_Maximum: 41.6725198216 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: east_sm Attribute_Definition: Easting in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 416068.259595 Range_Domain_Maximum: 421330.36707 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: north_sm Attribute_Definition: Northing in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 4599226.485479 Range_Domain_Maximum: 4613852.316773 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: dhigh_x Attribute_Definition: Cross-shore feature location relative to the generalized reference line, only relevant during processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -886.462321 Range_Domain_Maximum: 331.926406 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: dhigh_z Attribute_Definition: Feature elevation (NAVD88). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1.446868 Range_Domain_Maximum: 12.582558 Attribute_Units_of_Measure: meters Detailed_Description: Entity_Type: Entity_Type_Label: mon14_DTpts Entity_Type_Definition: Attributes for 719 dune toe positions recorded in the Esri shapefile mon14_DTpts.shp. Entity_Type_Definition_Source: 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: tile Attribute_Definition: Tile ID number used in processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 19 Range_Domain_Maximum: 19 Attribute_Units_of_Measure: integer Attribute: Attribute_Label: seg Attribute_Definition: Segment ID number used in processing (also labeled "segment"). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 9 Attribute: Attribute_Label: profile Attribute_Definition: Grid row number corresponding to a cross-shore profile location within the given segment. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 312 Attribute: Attribute_Label: lon_sm Attribute_Definition: Longitude in WGS 84. Negative values indicate western hemisphere. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -70.0042129237 Range_Domain_Maximum: -69.9444641149 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: lat_sm Attribute_Definition: Latitude in WGS 84 Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 41.5401848687 Range_Domain_Maximum: 41.6724792629 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: east_sm Attribute_Definition: Easting in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 416236.914424 Range_Domain_Maximum: 421366.678843 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: north_sm Attribute_Definition: Northing in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 4599212.336881 Range_Domain_Maximum: 4613847.362422 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: dlow_x Attribute_Definition: Cross-shore feature location relative to the generalized reference line, only relevant during processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -376.187533 Range_Domain_Maximum: 345.676406 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: dlow_z Attribute_Definition: Feature elevation (NAVD88). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1.083671 Range_Domain_Maximum: 4.807557 Attribute_Units_of_Measure: meters Detailed_Description: Entity_Type: Entity_Type_Label: mon14_SLpts Entity_Type_Definition: Attribute values for 1260 shoreline positions recorded in the Esri shapefile mon14_SLpts.shp. Entity_Type_Definition_Source: 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: tile Attribute_Definition: Tile ID number used in processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 19 Range_Domain_Maximum: 19 Attribute_Units_of_Measure: integer Attribute: Attribute_Label: seg Attribute_Definition: Segment ID number used in processing (also labeled "segment"). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 9 Attribute: Attribute_Label: profile Attribute_Definition: Grid row number corresponding to a cross-shore profile location within the given segment. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 312 Attribute: Attribute_Label: xsl Attribute_Definition: Cross-shore feature location relative to the generalized reference line, only relevant during processing. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -460.573925 Range_Domain_Maximum: 527.447546 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: ci95xsl Attribute_Definition: 95% confidence interval for the shoreline position. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 6.7394e-05 Range_Domain_Maximum: 0.3672 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: slope Attribute_Definition: Mean beach slope calculated between dune toe and shoreline (NAVD88). Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -0.177378 Range_Domain_Maximum: -0.011708 Attribute_Units_of_Measure: radians Attribute: Attribute_Label: lon Attribute_Definition: Longitude in WGS 84. Negative values indicate western hemisphere. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -70.003798 Range_Domain_Maximum: -69.943704 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: lat Attribute_Definition: Latitude in WGS 84 Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 41.539906 Range_Domain_Maximum: 41.675705 Attribute_Units_of_Measure: decimal degrees Attribute: Attribute_Label: easting Attribute_Definition: Easting in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 416271.188015 Range_Domain_Maximum: 421433.97441 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: northing Attribute_Definition: Northing in NAD 83 UTM Zone 19N Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 4599180.979365 Range_Domain_Maximum: 4614204.056869 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: slope_ci Attribute_Definition: 95% confidence interval for the beach slope. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.00010656 Range_Domain_Maximum: 0.58059 Attribute_Units_of_Measure: radians Overview_Description: Entity_and_Attribute_Overview: This section provides a separate detailed entity and attribute information section for each dataset described in these metadata. Each shapefile has a companion CSV file that contains the same information. The first row of the CSV is a header line and corresponds to the attributes described in the detailed entity and attribute section for that particular dataset. Fields may be reordered and the FID field may be replaced by a software-specific OBJECTID value, in which values do not directly match. The Shape attribute is unique to the shapefile format and is populated with NoData values in the CSV. Entity_and_Attribute_Detail_Citation: Methods Open-File Report by Zeigler and others, 2019 Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey - 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: These datasets contain three individual shapefile point and corresponding CSV datasets: Dune crest points (mon14_DCpts.shp and other shapefile components, mon14_DCpts.csv), dune toe points (mon14_DTpts.shp and other shapefile components, mon14_DTpts.csv) and shoreline points (mon14_SLpts.shp and other shapefile components, mon14_SLpts.csv). Additionally, the CSDGM FGDC metadata (mon14_DC_DT_SLpts_meta.xml) in XML format and the browse graphic (DC_DT_SLpts_asis_browse.png) in PNG format are included. These datasets can be downloaded individually or packaged on-demand in a zip file (see the Digital Transfer Option section). 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, firm, or product 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 10.5 Format_Specification: Esri point shapefile and corresponding comma-separated values files Format_Information_Content: This dataset contains the point shapefiles and corresponding CSV files of the dune crest, dune toe, and shoreline positions. Also included is the CSDGM metadata and browse graphic. Transfer_Size: 0.59 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://www.sciencebase.gov/catalog/item/5daa3729e4b09fd3b0c9ce27 Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/5daa3729e4b09fd3b0c9ce27 Network_Resource_Name: https://doi.org/10.5066/P9V7F6UX Access_Instructions: The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services. Fees: None Technical_Prerequisites: To utilize these data, the user must have software capable of reading shapefile or CSV format. Metadata_Reference_Information: Metadata_Date: 20200810 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Sara L. Zeigler Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Country: USA Contact_Voice_Telephone: 508-548-8700 x2290 Contact_Facsimile_Telephone: (508) 457-2310 Contact_Electronic_Mail_Address: szeigler@usgs.gov Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998