<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220601</CreaDate>
<CreaTime>13000000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Inshore Fisheries</resTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The dataset indicates the location for bottom trawl fishing activity in Irish waters. Attributes when known include year, area, gear type, species, season, days per year (Days_Year), number of vessels (Vessels), vessel size (LOA_Max), gear units, classification, Area of polygon (Area_M2), and data type.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Please note that this dataset represents fishing activity for vessels &amp;lt;15 metres length in Irish waters.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idPurp>This dataset was created in support of the Natura 2000 risk assessment in 2013.</idPurp>
<idCredit>Marine Institute</idCredit>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;a href='https://creativecommons.org:443/licenses/by/4.0/' style='text-decoration:underline;'&gt;&lt;span&gt;Creative Commons CC-BY 4.0&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<searchKeys>
<keyword>Fisheries</keyword>
<keyword>Gear</keyword>
<keyword>Line</keyword>
<keyword>Net</keyword>
<keyword>Bottom Trawl</keyword>
<keyword>Dredging</keyword>
</searchKeys>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20220802</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
