<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20241028</CreaDate>
        <CreaTime>12034700</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties/>
    </Esri>
    <dataIdInfo>
        <idAbs>This shapefile contains a hand-drawn polygon layer representing the data coverage extent for the Boston Harbor Habitat Atlas (BHHA) project. The polygon serves as a clipping boundary to ensure that spatial analyses and visualizations are confined to the desired study area within Boston Harbor. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The shape and extent of the polygon are based on project-specific considerations rather than conforming to any existing administrative or environmental boundary.&lt;/div&gt;</idAbs>
        <searchKeys>
            <keyword>BHHA</keyword>
        </searchKeys>
        <idPurp>This shapefile defines a polygon representing the data coverage extent for the Boston Harbor Habitat Atlas (BHHA) project. </idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>