<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20260224</CreaDate>
        <CreaTime>18332100</CreaTime>
        <ModDate>20260224</ModDate>
        <ModTime>18332100</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=49d3daad0f744d3fa1b2817de42db91e</itemDetailsURL>
                    <itemIdentifier>49d3daad0f744d3fa1b2817de42db91e</itemIdentifier>
                    <itemType>File Geodatabase</itemType>
                    <resourceURL>https://www.arcgis.com/sharing/rest/content/items/49d3daad0f744d3fa1b2817de42db91e/data</resourceURL>
                <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/c71ff54081b94843be4c0fa1ebbbaef6/info/thumbnail/ago_downloaded.png</thumbnailURL></portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>FishNY Map Data DEV QA</resTitle>
        </idCitation>
        <searchKeys/>
    <idAbs>&lt;p&gt;&lt;strong&gt;Update&lt;/strong&gt;: Latest data with filters to use in Production sent by the client on June 26th, 2026&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Comments from latest data package delivery on Feb 20th, 2026:&lt;/p&gt;&lt;p&gt;Terry Allard sent a “DRAFT” data package through the Timmons file transfer site. This data package is for coding and testing and should not go live. The data package contains the same files as it normally would, with two files having new fields to use for creating the Walleye, Smallmouth Bass, and Largemouth Bass filters. Based on the last call we had about these filters, we added a “Filter” text-255 field to the ManagedPonds and ManagedStreams feature classes. The fields are populated with comma separated numeric species codes. Walleye=626, Smallmouth Bass=600, Largemouth Bass=601. One water can have many filters. In the “Select Filter” drawer I imagine a user would see:&lt;/p&gt;&lt;p&gt;Select Filter&lt;br /&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;No Filters&lt;br /&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Trout Streams&lt;br /&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Largemouth Bass&lt;br /&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Smallmouth Bass&lt;br /&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Walleye&lt;/p&gt;&lt;p&gt;I may need to change the exact wording of the filter names that a user sees, but not certain of exact language yet.&lt;br /&gt;If a user selects the Largemouth Bass, Smallmouth Bass or Walleye filter, the APP should only display waters from ManagedPonds and ManagedStreams that have the corresponding code in the filter field. The typeahead search should then be limited to those waters. The other layers (boats launches, parking areas, piers platforms, dec lands, stream access) can stay on and retain their current functionality.&lt;/p&gt;</idAbs></dataIdInfo>
    <mdFileID>49d3daad0f744d3fa1b2817de42db91e</mdFileID>
    <distInfo>
        <distFormat>
            <formatName>File Geodatabase</formatName>
        </distFormat>
    </distInfo>
<Binary><Thumbnail><Data EsriPropertyType="PictureX">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</Data></Thumbnail></Binary></metadata>