<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Overview of sources for and specification of time series data for scenario simulations using the Pedersen et al. Barents Sea Ecosim model for the period 2000-2100</titl><IDNo agency="DOI">doi:10.18710/5GT2UB</IDNo></titlStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distDate>2023-05-03</distDate></distStmt><verStmt source="archive"><version date="2023-09-28" type="RELEASED">1</version></verStmt><biblCit>Pedersen, Torstein; Mortensen, Silje; Pedersen, Truls, 2023, "Overview of sources for and specification of time series data for scenario simulations using the Pedersen et al. Barents Sea Ecosim model for the period 2000-2100", https://doi.org/10.18710/5GT2UB, DataverseNO, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Overview of sources for and specification of time series data for scenario simulations using the Pedersen et al. Barents Sea Ecosim model for the period 2000-2100</titl><IDNo agency="DOI">doi:10.18710/5GT2UB</IDNo></titlStmt><rspStmt><AuthEnty affiliation="UiT The Arctic University of Norway">Pedersen, Torstein</AuthEnty><AuthEnty affiliation="UiT The Arctic University of Norway">Mortensen, Silje</AuthEnty><AuthEnty affiliation="UiT The Arctic University of Norway">Pedersen, Truls</AuthEnty></rspStmt><prodStmt><producer affiliation="Department of Arctic and Marine Biology" abbr="UiT">UiT The Arctic University of Norway</producer><prodDate>2023-04-25</prodDate><grantNo agency="The Research Council of Norway">The Nansen Legacy (RCN#276730)</grantNo></prodStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distrbtr affiliation="UiT The Arctic University of Norway" URI="https://dataverse.no/dataverse/uit">UiT The Arctic University of Norway</distrbtr><contact affiliation="UiT The Arctic University of Norway" email="Torstein.Pedersen@uit.no">Pedersen, Torstein</contact><depositr>Pedersen, Torstein</depositr><depDate>2023-04-25</depDate></distStmt><holdings URI="https://doi.org/10.18710/5GT2UB"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword vocab="MeSH" vocabURI="https://www.ncbi.nlm.nih.gov/mesh/D057231">Climate Change</keyword><keyword vocab="MeSH" vocabURI="https://www.ncbi.nlm.nih.gov/mesh/D005398">Fishery</keyword><keyword vocab="MeSH" vocabURI="https://www.ncbi.nlm.nih.gov/mesh/D020387">Food Web</keyword><keyword vocab="MeSH" vocabURI="https://www.ncbi.nlm.nih.gov/mesh/D011235">Predation</keyword></subject><abstract date="2023-04-25">To run simulations using the large Pedersen et al. (2021) Barents Sea Ecosim model, time series with environmental drivers and biomass and catch data to compare with simulation output values are needed. This data set give an overview of time series that can be used to run simulations using the Ecosim model for the period 2000-2100. The Pedersen et al. (2021) Ecopath with Ecosim model have 108 functional groups and time series for biomass, relative biomass, catches, fishing mortality and environmental drivers (temperature, primary production, biomass forcing of some functional groups) are reviewed and listed in the time serie data files. These time series can be used to run future scenarios. There are three files with complete sets of time series for three alternative fishing mortality level scenarios; low fishing mortality, business as usual and high fishing mortality. There are also three alternative environmental drivers corresponding to the temperature time series for the RCP 2.6, RCP 4.5 and RCP 8.5 scenarios from Bentley et al. (2017) and these are given as variables in each of the three time serie data sets. These data were compiled as part of the Nansen Legacy project.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2000-01-01">2000-01-01</timePrd><timePrd cycle="P1" event="end" date="2100-01-01">2100-01-01</timePrd><nation>Norway</nation><nation>Russian Federation</nation><geogCover>Barents Sea Large Marine Ecosystem</geogCover><geogCover>Barents Sea Large Marine Ecosystem</geogCover><geogUnit>marine ecosystem</geogUnit><geoBndBox><westBL>12</westBL><eastBL>68</eastBL><southBL>67</southBL><northBL>83</northBL></geoBndBox><dataKind>field data</dataKind><dataKind>assessment model output</dataKind></sumDscr></stdyInfo><method><dataColl><sources><dataSrc>Data sources for the data are given in the files Source_groups.txt and List_sources.txt</dataSrc><srcDocu>References to the sources are given in List_sources.txt</srcDocu></sources></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Pedersen, T., N. Mikkelsen, U. Lindstrøm, P. E. Renaud, M. C. Nascimento, M.-A. Blanchet, I. Ellingsen, L. Jørgensen, and H. Blanchet. 2021. Overexploitation, recovery and warming of the Barents Sea ecosystem during 1950-2013. Frontiers in Marine Science 8:732637. doi: 10.3389/fmars.2021.732637.</titl><IDNo agency="doi">10.3389/fmars.2021.732637</IDNo></titlStmt><biblCit>Pedersen, T., N. Mikkelsen, U. Lindstrøm, P. E. Renaud, M. C. Nascimento, M.-A. Blanchet, I. Ellingsen, L. Jørgensen, and H. Blanchet. 2021. Overexploitation, recovery and warming of the Barents Sea ecosystem during 1950-2013. Frontiers in Marine Science 8:732637. doi: 10.3389/fmars.2021.732637.</biblCit></citation><ExtLink URI="https://doi.org/10.3389/fmars.2021.732637"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f185397" URI="https://dataverse.no/api/access/datafile/185397" level="datafile"><labl>00ReadME.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f185332" URI="https://dataverse.no/api/access/datafile/185332" level="datafile"><labl>List_sources.txt</labl><txt>List of sources for time series</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f185331" URI="https://dataverse.no/api/access/datafile/185331" level="datafile"><labl>Source_groups.txt</labl><txt>Table with overview of time series and sources for various functional groups</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f185327" URI="https://dataverse.no/api/access/datafile/185327" level="datafile"><labl>Time_serie_BAU_fishery.txt</labl><txt>Data set of time series with fishing mortality rates as usual for the period year 2000-2015 from year 2023 onwards</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f185329" URI="https://dataverse.no/api/access/datafile/185329" level="datafile"><labl>Time_serie_high_fishery.txt</labl><txt>Data set of time series with high fishing mortality rates from year 2023 onwards</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f185328" URI="https://dataverse.no/api/access/datafile/185328" level="datafile"><labl>Time-serie_low_fishery.txt</labl><txt>Data set of time series with low fishing mortality rates from year 2023 onwards</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>