<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250515</CreaDate>
<CreaTime>15554000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>2011_2015</resTitle>
</idCitation>
<idAbs>Communities at Sea/VTR/Commercial Fishing
&lt;br&gt;&lt;br&gt;
Bottom Trawl greater than 65 ft gear type
&lt;br&gt;&lt;br&gt;
2011-2015 </idAbs>
<searchKeys>
<keyword>Communities at Sea</keyword>
<keyword>VTR</keyword>
<keyword>Commercial Fishing</keyword>
<keyword>Bottom Trawl</keyword>
</searchKeys>
<idPurp>Communities at Sea Bottom Trawl greater than 65 ft 2011-2015 </idPurp>
<idCredit>Original data provided by NOAA NMFS Northeast Fisheries Science Center; data processed by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers, the State University of New Jersey</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
