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  <title>Fordatis Sammlung:</title>
  <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/50" />
  <subtitle />
  <id>https://fordatis.fraunhofer.de/handle/fordatis/50</id>
  <updated>2026-07-03T11:03:15Z</updated>
  <dc:date>2026-07-03T11:03:15Z</dc:date>
  <entry>
    <title>A Graph-RAG inspired approach to extract Taxonomies applicable to Digital Product Passports</title>
    <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/504" />
    <author>
      <name>Smirnov, Michael</name>
    </author>
    <author>
      <name>Klein, Peter</name>
    </author>
    <id>https://fordatis.fraunhofer.de/handle/fordatis/504</id>
    <updated>2026-06-24T08:30:26Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Titel: A Graph-RAG inspired approach to extract Taxonomies applicable to Digital Product Passports
Datenautorinnen und Datenautoren: Smirnov, Michael; Klein, Peter
Zusammenfassung: A global, cross-continental extension of the European DPP system, suitable for global value chains, is currently under way as organized by the International Organization for Standardization. To operationalize these federated structures in a scalable manner, a pragmatic solution lies in the formal definition of domainspecific taxonomies and ontologies rooted directly in the underlying legal texts. To address this semantic gap, Natural Language Processing (NLP) frameworks based on Large Language Models (LLMs) offer powerful automated synthesis capabilities. Using Grahp-RAG inspired pipelines an ontology and a taxonomy pertinent to various European regulations is constructed and published as turtle files allowing for feeding interoperability pipelines of federated DPP systems.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Dataset for "Multiscale Coupling for the Usage-Specific Simulation of Battery-Electric Vehicles"</title>
    <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/475" />
    <author>
      <name>Schneider, Falco</name>
    </author>
    <author>
      <name>Schmidt, Karen Luca</name>
    </author>
    <author>
      <name>Wu, Canhui</name>
    </author>
    <author>
      <name>Lammel, Jan</name>
    </author>
    <author>
      <name>Zausch, Jochen</name>
    </author>
    <author>
      <name>Burger, Michael</name>
    </author>
    <id>https://fordatis.fraunhofer.de/handle/fordatis/475</id>
    <updated>2026-01-30T02:30:31Z</updated>
    <published>2026-01-29T00:00:00Z</published>
    <summary type="text">Titel: Dataset for "Multiscale Coupling for the Usage-Specific Simulation of Battery-Electric Vehicles"
Datenautorinnen und Datenautoren: Schneider, Falco; Schmidt, Karen Luca; Wu, Canhui; Lammel, Jan; Zausch, Jochen; Burger, Michael
Zusammenfassung: This dataset contains the main simulation results utilized for the manuscript "Multiscale Coupling for the Usage-Specific Simulation of Battery-Electric Vehicles". It features a set of battery simulation files of a Thevenin equivalent circuit model and pseudo-two-dimensional electrochemical model. The simulations cover different usage scenarios such as rate tests, hybrid pulse power characterization (HPPC), electrochemical impedance spectroscopy (EIS) and drive cycles. Additionally, the data set includes results of a multiscale simulation model coupling vehicle and battery dynamics while considering dependencies on region and usage characteristics.</summary>
    <dc:date>2026-01-29T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>HairWidthCracks dataset</title>
    <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/429" />
    <author>
      <name>Geng, Alexander</name>
    </author>
    <author>
      <name>Moghiseh, Ali</name>
    </author>
    <id>https://fordatis.fraunhofer.de/handle/fordatis/429</id>
    <updated>2025-01-08T09:41:30Z</updated>
    <published>2024-12-20T00:00:00Z</published>
    <summary type="text">Titel: HairWidthCracks dataset
Datenautorinnen und Datenautoren: Geng, Alexander; Moghiseh, Ali
Zusammenfassung: This repository contains a dataset of images featuring concrete panels, designed to support research and development in image-based analysis and defect detection. The dataset is divided into two main categories: crack images with corresponding masks, and crack images without masks, which include both crack and no-crack images.</summary>
    <dc:date>2024-12-20T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>SYNOSIS dataset</title>
    <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/420" />
    <author>
      <name>Fulir, Juraj</name>
    </author>
    <author>
      <name>Jeziorski, Natascha</name>
    </author>
    <author>
      <name>Bosnar, Lovro</name>
    </author>
    <author>
      <name>Hagen, Hans</name>
    </author>
    <author>
      <name>Redenbach, Claudia</name>
    </author>
    <author>
      <name>Gospodnetic, Petra</name>
    </author>
    <author>
      <name>Herrfurth, Tobias</name>
    </author>
    <author>
      <name>Trost, Marcus</name>
    </author>
    <author>
      <name>Gischkat, Thomas</name>
    </author>
    <id>https://fordatis.fraunhofer.de/handle/fordatis/420</id>
    <updated>2024-10-21T13:54:49Z</updated>
    <published>2024-10-16T00:00:00Z</published>
    <summary type="text">Titel: SYNOSIS dataset
Datenautorinnen und Datenautoren: Fulir, Juraj; Jeziorski, Natascha; Bosnar, Lovro; Hagen, Hans; Redenbach, Claudia; Gospodnetic, Petra; Herrfurth, Tobias; Trost, Marcus; Gischkat, Thomas
Zusammenfassung: Visual surface inspection images of aluminum test objects with different manufacturing surface textures and defects. The textures were produced by sandblasting, paralel milling and spiral milling. The dataset was used to support study of influence of surface texture on defect recognition. It contains real images, synthetic images and segmentation masks for both. Objects were inspected using a ring light and grayscale matrix camera monted on a robotic manipulator.</summary>
    <dc:date>2024-10-16T00:00:00Z</dc:date>
  </entry>
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