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  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Data från: "Effekten av ökad sedimentbelastning och ljusinsläpp på vattendrags primärproduktion, respiration och algsammansättning"</titl>
        <parTitl xml:lang="en">Data for: "Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition"</parTitl>
        <IDNo agency="SND">2023-75-1-1</IDNo>
        <IDNo agency="slu.se">SLU.seksko.2019.4.2-92</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/xvy7-q004</IDNo>
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        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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      <holdings URI="https://doi.org/10.5878/xvy7-q004">Landing page</holdings>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Data från: "Effekten av ökad sedimentbelastning och ljusinsläpp på vattendrags primärproduktion, respiration och algsammansättning"</titl>
        <parTitl xml:lang="en">Data for: "Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition"</parTitl>
        <IDNo agency="SND">2023-75-1-1</IDNo>
        <IDNo agency="slu.se">SLU.seksko.2019.4.2-92</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/xvy7-q004</IDNo>
        <IDNo agency="DOI">10.1002/ecs2.4695</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Department of Forest Ecology and Management, Swedish University of Agricultural Sciences">Myrstener, Maria</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för skogens ekologi och skötsel, Sveriges lantbruksuniversitet">Myrstener, Maria</AuthEnty>
      </rspStmt>
      <prodStmt>
        <grantNo xml:lang="en" agency="Swedish Research Council for Environment Agricultural Sciences and Spatial Planning">2019-01108</grantNo>
        <grantNo xml:lang="sv" agency="FORMAS">2019-01108</grantNo>
        <grantNo xml:lang="en" agency="World Wide Fund for Nature">300326</grantNo>
        <grantNo xml:lang="sv" agency="Världsnaturfonden WWF">300326</grantNo>
      </prodStmt>
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2023-10-02" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2023-10-02" />
      </verStmt>
      <holdings URI="https://doi.org/10.5878/xvy7-q004">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="GCMD" vocabURI="https://gcmd.nasa.gov/kms/concept/43d51c24-0523-4b65-919f-17618c7d72b4">RIVERS/STREAM</keyword>
        <keyword xml:lang="en" vocab="GCMD" vocabURI="https://gcmd.nasa.gov/kms/concept/166de4c9-89ad-4248-b771-512beb1705cf">CYANOBACTERIA (BLUE-GREEN ALGAE)</keyword>
        <keyword xml:lang="en" vocab="GEMET" vocabURI="http://www.eionet.europa.eu/gemet/concept/3439">forestry</keyword>
        <keyword xml:lang="sv" vocab="GEMET" vocabURI="http://www.eionet.europa.eu/gemet/concept/3439">skogsnäring</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21317">metabolism</keyword>
        <keyword xml:lang="sv" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21317">metabolism</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21796">stream</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/20899">sediment</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/20784">chlorophyll</keyword>
        <keyword xml:lang="sv" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/20784">klorofyll</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21467">buffer zone</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21074">gross primary production</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/21878">clearcut</keyword>
        <keyword xml:lang="en" vocab="INSPIRE Spatial Data Themes" vocabURI="http://inspire.ec.europa.eu/theme/lu">Land use</keyword>
        <keyword xml:lang="sv" vocab="INSPIRE Spatial Data Themes" vocabURI="http://inspire.ec.europa.eu/theme/lu">Markanvändning</keyword>
        <topcClas xml:lang="en" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota">Biota</topcClas>
        <topcClas xml:lang="sv" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota">Biologi och ekologi</topcClas>
        <topcClas xml:lang="en" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/inlandWaters">Inland Waters</topcClas>
        <topcClas xml:lang="sv" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/inlandWaters">Sjöar och vattendrag</topcClas>
      </subject>
      <abstract xml:lang="en" contentType="abstract">This dataset was used for the paper "Simulated riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition". Raw data includes mesocosm stream channel oxygen data, temperature data, and flourometric chl a data. This manuscript is part of a larger project which aims at evaluating how current forest management practices effect ecological functions of headwaters. This specific dataset was collected to answer how fine sediments and light conditions affect algal biofilms in small, boreal waters.</abstract>
      <abstract xml:lang="sv" contentType="abstract">Detta dataset sammanställdes till artikeln "Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition". Rådata inkluderar syrgasdata, temperatur och chl a från experimentella kanaler/bäckar. Projektet i stort syftar till att öka förståelsen för skogsbrukets påverkan på rinnande vatten och specifikt hur kantzoner bäst utformas för att värna ekologiska funktioner i små bäckar. Huvudfrågeställningen i den specifika artikeln är hur finsediment och ljusförhållanden påverkar algtillväxt i boreala källflöden (små bäckar).</abstract>
      <sumDscr>
        <collDate xml:lang="en" date="2022-07-01" event="start">2022-07-01</collDate>
        <collDate xml:lang="en" date="2022-10-31" event="end">2022-10-31</collDate>
        <collDate xml:lang="en" date="2022-07-01" event="start">2022-07-01</collDate>
        <collDate xml:lang="en" date="2022-10-31" event="end">2022-10-31</collDate>
        <nation xml:lang="en" abbr="SE">Sweden</nation>
        <nation xml:lang="sv" abbr="SE">Sverige</nation>
        <dataKind xml:lang="en">Numeric</dataKind>
        <dataKind xml:lang="en">Text</dataKind>
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    <method>
      <dataColl>
        <collMode xml:lang="en">We estimated biofilm biomass as chl α (µg cm-2) in each channel. For all chl α estimates, we used a BenthoTorch, an in-situ, hand-held fluorometric instrument (bbe Moldaenke, Germany). The BenthoTorch estimates chl α and distinguishes between diatoms, green algae and cyanobacteria. Estimates of total chl α from a BenthoTorch compare well with conventional spectrophotometric methods when biofilms are relatively thin, as in our situation. However when quantifying community composition, the BenthoTorch have been shown to overestimate the abundance of diatoms, yet the instrument performs well in factory calibrations against standards. Still, we only used the community composition results to note presence or absence of green algae in the channels. All statistical analyses used the sum of diatoms, green algae and cyanobacteria (i.e. total chl α).<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">We estimated biofilm biomass as chl α (µg cm-2) in each channel. For all chl α estimates, we used a BenthoTorch, an in-situ, hand-held fluorometric instrument (bbe Moldaenke, Germany). The BenthoTorch estimates chl α and distinguishes between diatoms, green algae and cyanobacteria. Estimates of total chl α from a BenthoTorch compare well with conventional spectrophotometric methods when biofilms are relatively thin, as in our situation. However when quantifying community composition, the BenthoTorch have been shown to overestimate the abundance of diatoms, yet the instrument performs well in factory calibrations against standards. Still, we only used the community composition results to note presence or absence of green algae in the channels. All statistical analyses used the sum of diatoms, green algae and cyanobacteria (i.e. total chl α).</concept></collMode>
        <collMode xml:lang="en">Experiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Experiment</concept></collMode>
        <collMode xml:lang="sv">Experiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Experiment</concept></collMode>
        <collMode xml:lang="en">Each channel was equipped with a miniDOT (Precision Measurement Engineering Inc., USA) to record dissolved oxygen. Metabolism was estimated using the single-station diel oxygen method approach where gross primary production (GPP) and Ecosystem Respiration (ER) was estimated using Bayesian inverse modelling.<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Each channel was equipped with a miniDOT (Precision Measurement Engineering Inc., USA) to record dissolved oxygen. Metabolism was estimated using the single-station diel oxygen method approach where gross primary production (GPP) and Ecosystem Respiration (ER) was estimated using Bayesian inverse modelling.</concept></collMode>
        <collMode xml:lang="en">Experiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Experiment</concept></collMode>
        <collMode xml:lang="sv">Experiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Experiment</concept></collMode>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
      </useStmt>
    </dataAccs>
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      <relPubl>
        <citation>
          <titlStmt>
            <titl xml:lang="sv">Myrstener, M., Greenberg, L. &amp; Kuglerova L. (2023). Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition. Ecosphere.</titl>
            <parTitl xml:lang="en">Myrstener, M., Greenberg, L. &amp; Kuglerova L. (2023). Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition. Ecosphere.</parTitl>
            <IDNo agency="DOI">10.1002/ecs2.4695</IDNo>
          </titlStmt>
          <distStmt>
            <distDate date="2023">2023</distDate>
          </distStmt>
        </citation>
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