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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>2026-05-01T12:33:58Z</updated>
  <dc:date>2026-05-01T12:33:58Z</dc:date>
  <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>
  <entry>
    <title>Aluminum Plates Dual Dataset</title>
    <link rel="alternate" href="https://fordatis.fraunhofer.de/handle/fordatis/412" />
    <author>
      <name>Mao, Runzhou</name>
    </author>
    <author>
      <name>Fulir, Juraj</name>
    </author>
    <author>
      <name>Garth, Christoph</name>
    </author>
    <author>
      <name>Gospodnetic, Petra</name>
    </author>
    <id>https://fordatis.fraunhofer.de/handle/fordatis/412</id>
    <updated>2024-09-18T09:36:40Z</updated>
    <published>2024-08-19T00:00:00Z</published>
    <summary type="text">Titel: Aluminum Plates Dual Dataset
Datenautorinnen und Datenautoren: Mao, Runzhou; Fulir, Juraj; Garth, Christoph; Gospodnetic, Petra
Zusammenfassung: Visual surface inspection images of aluminum plates with defects and impurities present. Dataset was used to support study of influence of impurities on defect detection. Plates were inspected using a ring light and grayscale camera monted on a robotic manipulator.</summary>
    <dc:date>2024-08-19T00:00:00Z</dc:date>
  </entry>
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