<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200612</CreaDate>
<CreaTime>13553100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>SoCal_HookandLineSurvey_Sites</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This GIS feature class represents the sampling design, implemented in 2004, for the Southern California Shelf Rockfish Hook and Line Survey. This survey is conducted annually by the Fishery Resource Analysis and Monitoring Division of the Northwest Fisheries Science Center, NOAA Fisheries. The survey uses a fixed station design of 121 sites that are targeted for sampling each year. During the period 2014-2017, the survey added 80 new sites within the two Cowcod Conservation Areas (implemented in 2001 and rescinded in 2023), bringing the survey’s sampling frame to 201 total sites. Each site is represented by a specific GPS coordinate, and all sampling drifts must be initiated within a 100-yard radius of this point. Sampling at each site consists of three deckhand-anglers making five coordinate drops (drifts) of a standardized five-hook sampling gangion; thus a total of 75 hooks are deployed at each site. The gear is deployed by rod and reel.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>groundfish</keyword>
<keyword>demersal fish</keyword>
<keyword>CPUE</keyword>
<keyword>fishery-independent surveys</keyword>
<keyword>survey design</keyword>
<keyword>Northeast Pacific Ocean</keyword>
<keyword>California Current</keyword>
<keyword>California</keyword>
<keyword>Southern California Bight</keyword>
</searchKeys>
<idPurp>This GIS feature class represents the sampling design, implemented in 2004, for the Southern California Shelf Rockfish Hook and Line Survey, conducted by the Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, NOAA.</idPurp>
<idCredit>NOAA Fisheries, Northwest Fisheries Science Center, Fishery Resource Analysis &amp; Monitoring Division (FRAM)</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;The geographic information contained herein is provided for informational purposes only. Every effort has been made to ensure the highest accuracy, but some errors can occur. NOAA Fisheries assumes no liability or responsibility for any errors, omissions, or inaccuracies in the information provided regardless of the cause, or for any decision made, or action taken by the user in reliance upon any information provided.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
