<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250519</CreaDate>
<CreaTime>11390600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>2001_2005</resTitle>
</idCitation>
<idAbs>Communities at Sea/VTR/Commercial Fishing
&lt;br&gt;&lt;br&gt;
Longline gear type
&lt;br&gt;&lt;br&gt;
2001-2005</idAbs>
<searchKeys>
<keyword>Communities at Sea</keyword>
<keyword>VTR</keyword>
<keyword>Commercial Fishing</keyword>
<keyword>Longline</keyword>
</searchKeys>
<idPurp>Communities at Sea Longline 2001-2005</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>
