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Modelled hydrodynamic profiles and salmon louse larval densities at Norwegian salmon farms

<p>Data compiled for use by the PreventLice web app,&nbsp;a decision support tool intended to help Norwegian salmon farmers avoid salmon louse infestations: <a href="https://havforskningsinstituttet.shinyapps.io/preventlice">https://havforskningsinstituttet.shinyapps.io/preventlice</a></p> <p>Each file contains the relevant data for a registered salmonid farm in Norway, identified by its locality number according to the Norwegian&nbsp;<a href="https://sikker.fiskeridir.no/akvakulturregisteret/web/sites">Aquaculture Registry</a>.&nbsp;A total of 1023 localities are included in version 1.0.0.</p> <p>The data are in long rectangular format, with each row corresponding to a single depth interval on a single date. Each row provides variables for locality number&nbsp;(&quot;loc&quot;), date (&quot;date&quot;), depth&nbsp;(m, &quot;depth&quot;), daily mean temperature (&deg;C, &quot;meanTemp&quot;), daily mean salinity (ppt, &quot;meanSal&quot;), daily mean current speed (ms<sup>-1</sup>, &quot;meanCurrSpd&quot;), daily 95th percentile current speed (ms<sup>-1</sup>, &quot;95PercCurrSpd&quot;), daily salmon louse infestation pressure (copepodids m<sup>-3</sup>, &quot;meanCopDensity&quot;), and daily mean significant wave height (m, &quot;SignWaveHeight&quot;).</p> <p>Temperature, salinity and current speeds are taken from the NorFjords-160 model&nbsp;(<a href="https://doi.org/10.1016/j.ecss.2020.107028">Dals&oslash;ren et al. 2020</a>), a finer-scale update of the NorKyst-800 model&nbsp;(<a href="https://doi.org/10.1007/s10236-020-01378-0">Asplin et al. 2020</a>). Wave height data are taken from the MyWaveWAM800m Norwegian coastal wave forecasting system&nbsp;(<a href="https://thredds.met.no/thredds/fou-hi/mywavewam800.html">Norwegian Meteorological Institute</a>). Salmon louse copepodid densities are estimated by coupling louse biology and behaviour parameters with hydrodynamic predictions from NorKyst-800&nbsp;(<a href="https://doi.org/10.1371/journal.pone.0201338">Myksvoll et al. 2018</a>).</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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