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  "description" : "Original data can be downloaded from \u003ca href='https://data.mendeley.com/datasets/dtk86rjm86/2' target='_blank' rel='nofollow ugc noopener noreferrer'\u003ehere\u003c/a\u003e. Another online version of the data can be found \u003ca 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'\u003eHERE.\u003c/a\u003e\u003cdiv\u003e\u003cbr /\u003e\u003c/div\u003e\u003cdiv\u003eThis version presented and hosted by CPAWS-NL allows for data extraction and analysis within ArcGIS Online Map Viewer.\u003cbr /\u003e\u003cdiv\u003e\u003cdiv\u003e\u003cbr /\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv\u003e\u003cfont color='#505050' face='Nexus Sans, sans-serif'\u003e\u003cspan style='font-size:16px;'\u003e"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." (DOI: \u003c/span\u003e\u003c/font\u003e\u003cspan style='color:rgb(80, 80, 80); font-family:"Nexus Sans", sans-serif; font-size:16px;'\u003e10.17632/dtk86rjm86.2)\u003c/span\u003e\u003cbr /\u003e\u003c/div\u003e\u003c/div\u003e", 
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