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@ARTICLE{Overberg:1009196,
      author       = {Overberg, Florian A. and Böttcher, Philipp and Witthaut,
                      Dirk and Morgenthaler, Simon},
      title        = {{E}mipy: {A}n open-source {P}ython-based tool to analyze
                      industrial emissions in {E}urope},
      journal      = {SoftwareX},
      volume       = {23},
      issn         = {2352-7110},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2023-02661},
      pages        = {101458},
      year         = {2023},
      note         = {Additional Funding by the Helmholtz Association via the
                      joint initiative “Energy System 2050 – A Contribution of
                      the Research Field Energy"},
      abstract     = {Targeted information about carbon dioxide emissions and
                      various other pollutants is essential for research and
                      consulting in environmental protection, public health and
                      energy systems analysis. The European Pollutant Release and
                      Transfer Register (E-PRTR) provides an extensive database of
                      emissions in the European Union, covering approximately 100
                      substances at facility level. Emipy is a Python package
                      specifically written to access, manipulate, analyze and
                      visualize the data provided by the E-PRTR. It manages
                      several pre-processing steps, including fully-automated data
                      download and merging. Emipy includes several built-in filter
                      and visualization functions and thus enables quick access to
                      the E-PRTR. Since emipy utilizes common Python packages and
                      classes such as pandas and matplotlib, it can easily be
                      integrated into other software tools. Using the built-in
                      export functions for the popular modeling framework
                      Calliope, emipy is particularly suited for use in energy
                      system modeling.},
      cin          = {IEK-STE / IEK-10},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IEK-STE-20101013 / I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1112 - Societally Feasible Transformation Pathways
                      (POF4-111) / CoNDyNet 2 - Kollektive Nichtlineare Dynamik
                      Komplexer Stromnetze (BMBF-03EK3055B) / VH-NG-1025 -
                      Helmholtz Young Investigators Group "Efficiency, Emergence
                      and Economics of future supply networks"
                      $(VH-NG-1025_20112014)$},
      pid          = {G:(DE-HGF)POF4-1112 / G:(DE-JUEL1)BMBF-03EK3055B /
                      $G:(HGF)VH-NG-1025_20112014$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001047238200001},
      doi          = {10.1016/j.softx.2023.101458},
      url          = {https://juser.fz-juelich.de/record/1009196},
}