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@MISC{Gorien:1002318,
      author       = {Gorißen, Leon Michel and Schneider, Jan-Niklas and Behery,
                      Mohamed Anwar Abdellatif and Brauner, Philipp and Lennartz,
                      Moritz and Kötter, Ender David and Kaster, Thomas and
                      Petrovic, Oliver and Hinke, Christian Rüdiger and Gries,
                      Thomas and Lakemayer, Gerhard and Ziefle, Martina and
                      Brecher, Christian and Häfner, Constantin Leon},
      title        = {{D}emonstrating {D}ata-to-{K}nowledge {P}ipelines for
                      {C}onnecting {P}roduction {S}ites in the {W}orld {W}ide
                      {L}ab: {T}rajectory {D}ata},
      reportid     = {RWTH-2025-00466},
      year         = {2025},
      abstract     = {These are the trajectory data created as part of the
                      Demonstrating Data-to-Knowledge Pipelines for Connecting
                      Production Sites in the World Wide Lab Project:
                      https://s.fhg.de/gorissen-2025a.One csv file is one
                      trajectory. For implementation details, check the project
                      website for the code repository link. In the folder test you
                      can find data used for model evaluation or testing. Metadata
                      must be derived from the $metadata_dump_test.json.$ In the
                      folder train you can find data used for model training and
                      cross validation. Here, the data is split into subfolder
                      representing the instance that created the data. Further,
                      metadata must be derived from the
                      $metadata_dump_train.json.f2e72889-c140-4397-809f-fba1b892f17a:$
                      LLTc9ff52e1-1733-4829-a209-ebd1586a8697:
                      ITA2e60a671-dcc3-4a36-9734-a239c899b57d: WZL The files
                      $metadata_dump_*.json$ provide a complete metadata dump for
                      each folder, as metadata is stored in a FileObject on
                      coscine, rather than as a file. That is to say, these files
                      are generated for publication completeness.},
      cin          = {418710 / 080067 / 417310 / 735410 / 121920 / 053100 /
                      419110 / 417200 / 080013 / 120000},
      cid          = {$I:(DE-82)418710_20140620$ / $I:(DE-82)080067_20181221$ /
                      $I:(DE-82)417310_20140620$ / $I:(DE-82)735410_20230123$ /
                      $I:(DE-82)121920_20140620$ / $I:(DE-82)053100_20140620$ /
                      $I:(DE-82)419110_20140620$ / $I:(DE-82)417200_20140620$ /
                      $I:(DE-82)080013_20140620$ / $I:(DE-82)120000_20140620$},
      pnm          = {WS-A.III - Functional Perspective (X080067-WS-A.III) / DFG
                      project G:(GEPRIS)390621612 - EXC 2023: Internet of
                      Production (IoP) (390621612)},
      pid          = {G:(DE-82)X080067-WS-A.III / G:(GEPRIS)390621612},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.18154/RWTH-2025-00466},
      url          = {https://publications.rwth-aachen.de/record/1002318},
}