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        <identifier>oai:b2share.fz-juelich.de:b2rec/9afba748f2f943f5a73e6b6b919ce3c2</identifier>
        <datestamp>2020-04-30T10:00:36Z</datestamp>
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          <titles>
            <title>AutoQA4Env (advanced flagging source code for EGU 2020 presentation)</title>
          </titles>
          <community>EUDAT</community>
          <identifiers>
            <identifier identifierType="URL">https://b2share.fz-juelich.de/records/9afba748f2f943f5a73e6b6b919ce3c2</identifier>
            <identifier identifierType="DOI">10.34730/9afba748f2f943f5a73e6b6b919ce3c2</identifier>
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          <publishers>
            <publisher>EUDAT B2SHARE</publisher>
            <publisher>B2SHARE</publisher>
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          <publicationYear>2020</publicationYear>
          <creators>
            <creator>Najmeh Kaffashzadeh</creator>
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          <descriptions>
            <description>The AutoQA4Env is a tool for automated quality assessment of the environmental data time series. In this version of the tool, the implemented test is based on the suggested approach in QARTOD manual and the tool only provides the qc flags, i.e. pass, suspect and fail, as an output. Here, the purpose of sharing is to provide the source code along with an example data series for allowing a user to regenerate the figure in slide 6 of the EGU presentation submitted by N. Kaffashzadeh et al., 2020 (https://doi.org/10.5194/egusphere-egu2020-13357).</description>
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            <discipline>4.3.4.4 → Statistical model → Quality control</discipline>
            <discipline>3.3.2 → Earth sciences → Environmental science</discipline>
            <discipline>4.1.16.3 → Information science → Database</discipline>
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            <keyword>AutoQA4Env</keyword>
            <keyword>quality assessment</keyword>
            <keyword>time series data</keyword>
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            <contributor>
              <contributorName>Martin G. Schultz</contributorName>
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            <contributor>
              <contributorName>Najmeh Kaffashzadeh</contributorName>
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          <version>v0.2</version>
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