<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20260828</CreaDate>
        		
        <CreaTime>12101400</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>TRUE</SyncOnce>
        	
    <DataProperties><itemProps><portalDetails><thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/425876efc32046b89c534f8bd04fd320/info/thumbnail/thumbnail1787934871720.png</thumbnailURL></portalDetails></itemProps></DataProperties></Esri>
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>Coastlines Dukes County</resTitle>
            		
        </idCitation>
        		
        <searchKeys>
            			
            <keyword>Aquinnah</keyword>
            			
            <keyword>Chilmark</keyword>
            			
            <keyword>Edgartown</keyword>
            			
            <keyword>Oak Bluffs</keyword>
            			
            <keyword>Tisbury</keyword>
            			
            <keyword>Vineyard Haven</keyword>
            			
            <keyword>West Tisbury</keyword>
            			
            <keyword>Elizabeth Islands</keyword>
            			
            <keyword>Gosnold</keyword>
            			
            <keyword>Cuttyhunk</keyword>
            			
            <keyword>Nomans Land</keyword>
            		
        </searchKeys>
        		
        <idPurp>The feature layer data bundle contains (or someday will contain) the various coastlines for Martha's Vineyard, Nomans Land Island, and the Elizabeth Islands.  Buffers of the coastline are also included.</idPurp>
        		
        <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;As of 8/28/26, this feature layer contains the coastline of Martha's Vineyard and its ponds as per the LiDAR 2021 survey breaklines.  The coast and pond shorelines are not tidally corrected.  The vertical datum of the 2021 LiDAR survey is NAVD88 and the breaklines indicate 0 elevation.  The data do contain an attribute which distinguishes Pond Shoreline from Ocean Coastline.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The feature layer data bundle also includes buffer area from the Ocean Coastline.  Buffers of varying distances are stored within one data layer for each respective coastline dataset.  Set a filter on the data to display only one buffer at a time (for example, 1 mile vs 1 nautical mile).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        		
        <idCredit>Coastline/Pond Shoreline - LiDAR 2021 processed by NV5; Data compilation - Martha's Vineyard Commission - August 2026</idCredit>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;Data are intended for planning purposes only and are not of survey-grade spatial accuracy.  As of Aug. 2026, no coastline within this dataset is tidally corrected - hence is NOT a representation of Mean Low Water shoreline or any tidal datum thereof.  The Martha's Vineyard Commission is not responsible for the end-user's interpretation of the data or subsequent analyses.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
                			
            </Consts>
            		
        </resConst>
        	
    </dataIdInfo>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>