IMR_FishLiceAbundance

Evaluation of a national operational salmon lice monitoring system—From physics to fish

Dataset Creator	Dataset Title	Dataset Release Date	Dataset Publisher	Online Resource
Mari Skuggedal Myksvoll	Evaluation of a national operational salmon lice monitoring system—From physics to fish	2018-11-12T00:00:00:00Z	Institute of Marine Research	ftp://ftp.nmdc.no

Role	First Name	Last Name	Email	Middle Name
Technical Contact	Arnfinn	Morvik	arnfinn.morvik@hi.no
Investigator	Mari	Myksvoll		Skuggedal

Category	Topic	Term	Variable Level 1	Variable Level 2	Variable Level 3
EARTH SCIENCE	BIOLOGICAL CLASSIFICATION	ANIMALS/VERTEBRATES	FISH	RAY-FINNED FISHES	SALMONS/TROUTS

Salmon Lice

Start Date	Stop Date
2015-01-01	2017-12-31

Complete

Location Category	Location Type	Location Subregion1	Location Subregion2
Ocean	Atlantic Ocean	North Atlantic Ocean	Norwegian Sea

unrestricted

Institute of Marine Research

Data Center Name	Data Center URL	Personnel
NO/IMR Institute of Marine Research	http://www.imr.no	Originating institution Mari Skuggedal Myksvoll

Distribution Media	Distribution Format
FTP	Excel files

The dataset includes two variables, observed mean abundance of young salmon lice and modeled lice density, from three years 2015-2017 at specific locations along the Norwegian coast. The first variable is observed number of salmon lice copepodids, chalimus 1 and chalimus 2 on wild fish caught with traps or gillnets. The second variable is lice density calculated from the salmon lice model at the same locations as the wild fish were caught, averaging over 15x15 grid points and summed over three weeks. For more details see Myksvoll et al. 2018 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201338).

URL Content Type	URL
GET DATA	https://ftp.nmdc.no/nmdc/IMR/lakselusovervakning/Myksvoll_etal_2018_Fig4.xlsx

Norwegian Marine Datacentre

CEOS IDN DIF

9.7.1

2018-11-12T00:00:00:00Z

CC BY 4.0

POLYGON((32.9 56.9,1.1 56.9,1.1 72.1,32.9 72.1,32.9 56.9))