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        <CreaDate>20220516</CreaDate>
        <CreaTime>12025200</CreaTime>
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        <idAbs>Original data can be downloaded from &lt;a href='https://data.mendeley.com/datasets/dtk86rjm86/2' target='_blank' rel='nofollow ugc noopener noreferrer'&gt;here&lt;/a&gt;. Another online version of the data can be found &lt;a href='https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/KDE_Analyses_Coral_Sponge_2016_EN/MapServer' target='_blank' rel='nofollow ugc noopener noreferrer'&gt;HERE.&lt;/a&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;This version presented and hosted by CPAWS-NL allows for data extraction and analysis within ArcGIS Online Map Viewer.&lt;br /&gt;&lt;div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;font color='#505050' face='Nexus Sans, sans-serif'&gt;&lt;span style='font-size:16px;'&gt;&amp;quot;Kernel density estimation (KDE) utilizes spatially explicit data to model the distribution of a variable of interest. It is a simple non-parametric neighbor-based smoothing function that relies on few assumptions about the structure of the observed data. It has been used in ecology to identify hotspots, that is, areas of relatively high biomass/abundance, and in 2010 was used by Fisheries and Oceans Canada to delineate significant concentrations of corals and sponges. The same approach has been used successfully in the Northwest Atlantic Fisheries Organization (NAFO) Regulatory Area. Here, we update the previous analyses with the catch records from up to 5 additional years of trawl survey data from Eastern Canada, including the Gulf of St. Lawrence. We applied kernel density estimation to create a modelled biomass surface for each of sponges, small and large gorgonian corals, and sea pens, and applied an aerial expansion method to identify significant concentrations of theses taxa. We compared our results to those obtained previously and provided maps of significant concentrations as well as point data co-ordinates for catches above the threshold values used to construct the significant area polygons. The borders of the polygons can be refined using knowledge of null catches and species distribution models of species presence/absence and/or biomass.&amp;quot; (DOI: &lt;/span&gt;&lt;/font&gt;&lt;span style='color:rgb(80, 80, 80); font-family:&amp;quot;Nexus Sans&amp;quot;, sans-serif; font-size:16px;'&gt;10.17632/dtk86rjm86.2)&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
        <searchKeys>
            <keyword>Kernel Density Estimation</keyword>
            <keyword>Coral and Sponge Catches</keyword>
            <keyword>Significant Benthic Areas</keyword>
            <keyword>Newfoundland and Labrador</keyword>
            <keyword>Northwest Atlantic</keyword>
            <keyword>NAFO</keyword>
        </searchKeys>
        <idPurp>Kernel Density Analyses of Coral and Sponge Catches in Identification of Significant Benthic Areas.</idPurp>
        <idCredit>Kenchington, Ellen; Lirette, Camille; Murillo, Francisco; Beazley, Lindsay; Guijarro-Sabaniel, Javier; wareham, vonda; Gilkinson, Kent; Koen-Alonso, Mariano; Benoit, Hugues; Bourdages, Hugo; Sainte-Marie, Bernard; Treble, Margaret; Siferd, Tim  (2018), “Kernel Density Analyses of Coral and Sponge Catches from Research Vessel Survey Data for Use in Identification of Significant Benthic Areas”, Mendeley Data, V2, doi: 10.17632/dtk86rjm86.2</idCredit>
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                <useLimit>&lt;div style='color:rgb(80, 80, 80); font-family:&amp;quot;Nexus Sans&amp;quot;, sans-serif; font-size:16px;'&gt;CC BY 4.0 license description.&lt;/div&gt;&lt;div style='color:rgb(80, 80, 80); font-family:&amp;quot;Nexus Sans&amp;quot;, sans-serif; font-size:16px;'&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style='color:rgb(80, 80, 80); font-family:&amp;quot;Nexus Sans&amp;quot;, sans-serif; font-size:16px;'&gt;The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International license.&lt;span&gt;&lt;p style='margin-top:1rem; margin-bottom:0px; font-size:1rem; font-weight:bold;'&gt;What does this mean?&lt;/p&gt;You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.&lt;/span&gt;&lt;/div&gt;</useLimit>
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