FE-simulated bearing load distributions for different load cases of the IWT7.5 turbine
has bitstream: IWT7.5 blade bearing fatigue lifetime FE simulations.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
institute: IWES Fraunhofer-Institut für Windenergiesysteme
rawdata: false
funding programme: 6. Energieforschungsprogramm „Forschung für eine umweltschonende, zuverlässige und bezahlbare Energieversorgung“
projectacronym: HAPT
projectid: FKZ: 0325918A
projectname: Beschleunigte Dauerprüfung von Blattlagern für Multi-Megawatt-Turbinen
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Schleich, Florian
contributor: Menck, Oliver
creator: Schleich, Florian
creator: Menck, Oliver
date: 2020-11-02T09:53:57Z
language: en
abstract: This dataset contains the bearing load distributions of different load cases of a third rotor star FE-model of the IWES Wind Turbine 7.5, which is a 7.5 MW nearshore turbine model. Using combinations of the resulting blade moment, the angle of said moment, and the pitch angle of the blade, a total of 260 simulations were FE simulated. These simulations were performed for the publication "Fatigue lifetime calculation of wind turbine blade bearings considering blade-dependent load distribution" in the Wind Energy Science Journal.
available: 2020-11-02T09:53:57Z
has part: IWT7.5 blade bearing fatigue lifetime FE simulations.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
is referenced by: 10.5194/wes-2020-26
issued: 2020
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/109
uri: https://fordatis.fraunhofer.de/handle/fordatis/184
sparql endpoint: sparql

Medieval coins of three different types and of various states of preservation
has bitstream: Bahrfeldt-19-b.zip
has bitstream: Mehl-499-a.zip
has bitstream: Mehl-595.zip
has bitstream: Bahrfeldt-19-a.zip
has bitstream: Mehl-499-b.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/17
institute: IFF Fraunhofer-Institut für Fabrikbetrieb und -automatisierung
rawdata: false
projectid: 01UG2045X
projectname: Rares-Bares
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Staatskanzlei und Ministerium für Kultur des Landes Sachsen-Anhalt
contributor: Tauschensky, Anika
contributor: Trostmann, Erik
contributor: Mara, Hubert
contributor: Investitionsbank Sachsen-Anhalt
contributor: Dunker, Thomas
contributor: Brunn, Andreas
contributor: Schiller, Michael
creator: Tauschensky, Anika
creator: Trostmann, Erik
creator: Mara, Hubert
creator: Dunker, Thomas
date: 2023-08-16T13:30:12Z
language: en
abstract: The dataset contains albedo and normal image and a 3D triangle mesh with additional features (multi scale integral invariants) for the obverse of medieval coins. There are three different types of coins. Within each typ there are many samples of various state of conservation. Numismatists can recognize similarities between samples of one type and differences between samples of different type. We are interested in the development of computer methods, which can measure such similarities and differences based on these digital representations of the coins.
alternative: Images and 3D triangle meshes generated with a single-camera, multi-light setup (photometric stereo)
available: 2023-08-16T13:30:12Z
has part: Bahrfeldt-19-b.zip
has part: Mehl-499-a.zip
has part: Mehl-595.zip
has part: Bahrfeldt-19-a.zip
has part: Mehl-499-b.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/17
issued: 2023-06
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/210
uri: https://fordatis.fraunhofer.de/handle/fordatis/281
sparql endpoint: sparql

GiCCS: A German in-Context Conversational Similarity Benchmark
has bitstream: GiCCS.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
doi: 10.5281/zenodo.7266256
issued: 2022-10-31
place: The GEM 💎 Workshop at EMNLP 2022
uri: https://zenodo.org/record/7266256#.Y2OmG8HMKbs
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
projectid: FKZ 01MK19011
projectname: SPEAKER
contributor: Zarcone, Alessandra
contributor: Liebel, Alina
contributor: Kolagar, Zahra
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Asaadi, Shima
creator: Zarcone, Alessandra
creator: Liebel, Alina
creator: Kolagar, Zahra
creator: Asaadi, Shima
date: 2022-12-15T10:45:35Z
language: de
abstract: The Semantic textual similarity (STS) task is commonly used to evaluate the semantic representations that language models (LMs) learn from texts, under the assumption that good-quality representations will yield accurate similarity estimates. When it comes to estimating the similarity of two utterances in a dialogue, however, the conversational context plays a particularly important role. We argue for the need of benchmarks specifically created using conversational data in order to evaluate conversational LMs in the STS task. We introduce GiCCS, a first conversational STS evaluation benchmark for German. We collected the similarity annotations for GiCCS using best-worst scaling and presenting the target items in context, in order to obtain highly-reliable context-dependent similarity scores. We present benchmarking experiments for evaluating LMs on capturing the similarity of utterances. Results suggest that pretraining LMs on conversational data and providing conversational context can be useful for capturing similarity of utterances in dialogues. GiCCS will be publicly available to encourage benchmarking of conversational LMs.
available: 2022-12-15T10:45:35Z
has part: GiCCS.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
rights: https://creativecommons.org/licenses/by-nc-nd/3.0/
doi: doi:10.24406/fordatis/226
uri: https://fordatis.fraunhofer.de/handle/fordatis/293
sparql endpoint: sparql

Influence of accelerated hydrothermal aging on physical and mechanical properties of an amine-cured epoxy resin
has bitstream: 04 Zugversuche.xlsx
has bitstream: 01 Reaktor.xlsx
has bitstream: 02 Wasseraufnahme.xlsx
has bitstream: 03 DMA.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/49
institute: IGP Fraunhofer-Einrichtung für Großstrukturen in der Produktionstechnik
rawdata: false
contributor: Backens, Simon
contributor: Schmidt, Stefan
contributor: Flügge, Wilko
creator: Backens, Simon
creator: Schmidt, Stefan
creator: Flügge, Wilko
date: 2025-09-10T11:23:20Z
language: de
abstract: Ein aminvernetztes Epoxidharz (EP) wird Wasser bei 100, 150, 200 und 250 °C ausgesetzt, wobei alle Temperaturen über der Glasübergangstemperatur (Tg) des Polymers liegen. Aufgrund der verringerten Dichte und Viskosität der flüssigen Phase bei diesen Temperaturen und des gummiartigen Zustands des EP ist es möglich, in weniger als drei Stunden eine Wasseraufnahme von mehr als 10 % zu erreichen. Die Ergebnisse von dynamisch-mechanischen Analysen und Zugversuchen bestätigen die erwartete Tg-Abnahme und die Verringerung der Zugfestigkeit und des Moduls mit steigender Alterungstemperatur bzw. Wasseraufnahme. @de
available: 2025-09-10T11:23:20Z
has part: 04 Zugversuche.xlsx
has part: 01 Reaktor.xlsx
has part: 02 Wasseraufnahme.xlsx
has part: 03 DMA.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/49
issued: 2025-09
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/411
uri: https://fordatis.fraunhofer.de/handle/fordatis/455
sparql endpoint: sparql

JERRI state of the art interviews
has bitstream: JERRI state of the art interviews.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Teufel, Benjamin
contributor: Nauta, Joram
creator: Teufel, Benjamin
creator: Nauta, Joram
date: 2019-10-25T15:17:44Z
language: en
abstract: The data has been generated by Fraunhofer ISI and TNO by carrying out and recording expert interviews about existing RRI practices and ways to further institutionalize RRI at both organisations.
available: 2019-10-25T15:17:44Z
created: 2016
has part: JERRI state of the art interviews.xlsx
is part of: urn:nbn:de:0011-n-4976883
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/32
uri: https://fordatis.fraunhofer.de/handle/fordatis/116
sparql endpoint: sparql

Mit dem Rasterelektronenmikroskop (REM) erzeugte Aufnahmen von Bruchflächen von Metallen für eine spätere statistische Auswertung
has bitstream: Duktil.zip
has bitstream: Gemischt.zip
has bitstream: Interkristallin.zip
has bitstream: Schwingbruch.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: true
contributor: Fraunhofer-Gesellschaft FhG
contributor: Morand, Lukas
contributor: Preußner, Johannes
contributor: Bellmer, Mathis Julian
creator: Preußner, Johannes
creator: Bellmer, Mathis Julian
date: 2022-03-29T06:59:36Z
language: de
abstract: Bruchflächenaufnahmen von Metallen gelabelt nach "interkristallin" und "Sprödbruch". Die Bilddaten stammen von unterschiedlichen Proben. @de
available: 2022-03-29T06:59:36Z
has part: Duktil.zip
has part: Gemischt.zip
has part: Interkristallin.zip
has part: Schwingbruch.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2018
rights: https://creativecommons.org/licenses/by/4.0/
title: Fracture surfaces of metals acquired with the SEM
doi: doi:10.24406/fordatis/164
uri: https://fordatis.fraunhofer.de/handle/fordatis/237
sparql endpoint: sparql

Daten zur Dämpfung im Stahl-Aluminium-Kontakt unter vibrierender Belastung für die Nutzung in einer Heckklappe
has bitstream: curves 3DEFO elements data.txt
has bitstream: Data Frettingtester.txt
has bitstream: curves 1DEFO elements data.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectacronym: LEICHT_DISS
projectid: 03LB2027D
projectname: Gewichtsreduzierung in Leichtbaustrukturen dynamisch belasteter Systeme durch neue energie-dissipative Elemente
contributor: Dienwiebel, Martin
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Kugler, Marion
contributor: Koschnik, Frank
contributor: Weber, Dennis
contributor: Marx, David Sebastian
creator: Dienwiebel, Martin
creator: Kugler, Marion
creator: Koschnik, Frank
creator: Weber, Dennis
creator: Marx, David Sebastian
date: 2025-06-17T08:26:14Z
language: en
abstract: The information on how the data was obtained is explained in the Paper "Potential of friction to damp vibrations in the use case of a car tailgate" by Marion Kugler, Frank Koschnick, David Marx, Dennis Weber, Martin Dienwiebel.
available: 2025-06-17T08:26:14Z
has part: curves 3DEFO elements data.txt
has part: Data Frettingtester.txt
has part: curves 1DEFO elements data.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2025-05-28
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Data about the damping in a steel-aluminium-contact under vibrating load for the use in a cars tailgate
doi: doi:10.24406/fordatis/398
uri: https://fordatis.fraunhofer.de/handle/fordatis/443
sparql endpoint: sparql

Reparatur vs. Austausch bei Unfallschäden an Pkw
has bitstream: Anhang C Sachbilanz und Ergebnisse.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
group: Ressourcentechnologien und Bioökonomie
institute: UMSICHT Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik
rawdata: false
contributor: Röttgen, Janek
contributor: Bertling, Jürgen
contributor: Schulte, Anna
creator: Röttgen, Janek
creator: Bertling, Jürgen
creator: Schulte, Anna
date: 2023-05-24T14:42:53Z
language: de
abstract: Es handelt sich um Hintergrunddaten zu einer Studie. Der Datensatz enthält eine Beschreibung sowie ein umfassendes Tabellenblatt zu verwendeten Ökobilanzdaten und -ergebnissen.
alternative: Zwei Varianten der Instandsetzung im ökologischen Wettbewerb
available: 2023-05-24T14:42:53Z
has part: Anhang C Sachbilanz und Ergebnisse.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
issued: 2023-05-17
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/259
uri: https://fordatis.fraunhofer.de/handle/fordatis/322
sparql endpoint: sparql

MVIP: A Dataset for Industrial Part Recognition
has bitstream: MVIP.zip.005
has bitstream: README.txt
has bitstream: MVIP.zip.019
has bitstream: MVIP.zip.011
has bitstream: MVIP.zip.004
has bitstream: MVIP.zip.006
has bitstream: MVIP.zip.023
has bitstream: MVIP.zip.015
has bitstream: MVIP.zip.012
has bitstream: MVIP.zip.013
has bitstream: MVIP.zip.001
has bitstream: MVIP.zip.024
has bitstream: MVIP.zip.003
has bitstream: MVIP.zip.016
has bitstream: MVIP.zip.020
has bitstream: MVIP.zip.021
has bitstream: MVIP.zip.007
has bitstream: MVIP.zip.022
has bitstream: MVIP.zip.018
has bitstream: MVIP.zip.014
has bitstream: MVIP.zip.010
has bitstream: MVIP - A Dataset for Industrial Part Recognition.pdf
has bitstream: MVIP.zip.008
has bitstream: MVIP.zip.025
has bitstream: MVIP.zip.017
has bitstream: MVIP.zip.009
has bitstream: MVIP.zip.002
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
funding programme: ReziProK
research framework programm: FONA
projectacronym: EIBA
projectid: 033R226
projectname: Sensorische Erfassung, automatisierte Identifikation und Bewertung von Altteilen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Krüger, Jörg
contributor: Briese, Clemens
contributor: Schlüter, Marian
contributor: Chavan, Vivek
contributor: Koch, Paul
contributor: Jagtap, Maulik
creator: Briese, Clemens
creator: Schlüter, Marian
creator: Chavan, Vivek
creator: Koch, Paul
date: 2023-11-13T09:59:50Z
language: en
abstract: We present MVIP, a novel dataset for multi-modal and multi-view application oriented industrial part recognition. Here we combine a calibrated RGBD multi-view dataset with additional object context such as physical properties, natural language, and super-classes. Our main goal with MVIP is to study and push transferability of various state-of-the-art methods within related downstream tasks towards an efficient deployment of industrial classifiers. Additionally, we intent to push with MVIP research regarding several modality fusion topics, (automated) synthetic data generation, and complex data sampling methods -- combined in a single application oriented benchmark.
available: 2023-11-13T09:59:50Z
has part: MVIP.zip.005
has part: README.txt
has part: MVIP.zip.019
has part: MVIP.zip.011
has part: MVIP.zip.004
has part: MVIP.zip.006
has part: MVIP.zip.023
has part: MVIP.zip.015
has part: MVIP.zip.012
has part: MVIP.zip.013
has part: MVIP.zip.001
has part: MVIP.zip.024
has part: MVIP.zip.003
has part: MVIP.zip.016
has part: MVIP.zip.020
has part: MVIP.zip.021
has part: MVIP.zip.007
has part: MVIP.zip.022
has part: MVIP.zip.018
has part: MVIP.zip.014
has part: MVIP.zip.010
has part: MVIP - A Dataset for Industrial Part Recognition.pdf
has part: MVIP.zip.008
has part: MVIP.zip.025
has part: MVIP.zip.017
has part: MVIP.zip.009
has part: MVIP.zip.002
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2023-11-02

inCLINC: incremental intent annotations of the CLINC dataset
has bitstream: README.md
has bitstream: user responses.csv
has bitstream: data entropy reduction majority.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
funding programme: Innovationswettbewerb "Künstliche Intelligenz als Treiber für volkswirtschaftlich relevante Ökosysteme"
projectacronym: SPEAKER
projectid: FKZ 01MK20011A
projectname: SPEAKER - Aufbau einer führenden Sprachassistenzplattform ”Made in Germany”
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Zarcone, Alessandra
contributor: Hrycyk, Lianna
contributor: Hahn, Luzian
creator: Zarcone, Alessandra
creator: Hrycyk, Lianna
creator: Hahn, Luzian
date: 2021-09-21T07:32:06Z
language: en
abstract: The inCLINC dataset (incremental intent annotations of the CLINC dataset) contains 121 distinct utterances (queries directed to a voice assistant) in their complete form and in partial form for a total of 538 utterances, which were labeled with intent categories in a crowdsourcing study by 126 coders. The tagset consisted of 37 intent categories plus one out-of-scope category. Each utterance was annotated by 6 to 9 coders. To refer to inCLINC in any publication, please cite the following paper: Hrycyk, L., Zarcone, A., & Hahn, L. (2021). Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification. In Proceedings of the 3rd Workshop on NLP for Conversational AI (NLP4ConvAI 2021).
available: 2021-09-21T07:32:06Z
has part: README.md
has part: user responses.csv
has part: data entropy reduction majority.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2021-09
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/140
uri: https://fordatis.fraunhofer.de/handle/fordatis/213
sparql endpoint: sparql

Analyzing the regulatory framework gaps for gas distribution networks with decreasing natural gas demand in Germany
has bitstream: Data Appendix E.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
projectacronym: TrafoKommunE
projectid: 03EN3008A
projectname: Transformation process for the municipal energy transition
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Wietschel, Martin
contributor: Oberle, Stella
contributor: Gnann, Till
contributor: Wayas, Louis
creator: Wietschel, Martin
creator: Oberle, Stella
creator: Gnann, Till
creator: Wayas, Louis
date: 2023-07-04T07:29:49Z
language: en
abstract: The two datasets are supplement to the publication Oberle, Stella; Gnann, Till; Wayas, Louis; Wietschel, Martin "Analyzing the regulatory framework gaps for gas distribution networks with decreasing natural gas demand in Germany" (to be published): German energy system studies, investigating the energy transition pathways to the set climate targets, depict a significant decrease in gas demand. This leads to a discussion about the long-term need of gas distribution networks. The discussion intensified with the war in Ukraine and the subsequent energy price crisis. The German regulatory agency responded to these developments with adjusting the regulatory framework to the current challenges. Up to now, the depreciation period of network components varies between 45 to 65 years, and consequently the monetary capital is tied up for a long time, lowering the flexibility of network operators to react to current challenges. Therefore, the German regulatory agency allows the shortening of depreciation periods of new gas network assets. Nonetheless, it is still unclear how to deal with existing assets at risk of becoming stranded assets and how to regulate the decommissioning of gas networks. Therefore, this paper addresses the research question: “What effect do different regulations for decommissioning of gas distribution networks have on operators and users?”. To answer the question the model MERLIN is applied, which integrates the current and future regulation options into long-term investment decision analysis. The results show a need of shortening the depreciation period of existing assets to avoid stranded assets. Further, partial decommissioning with including the decommission costs in the regulatory framework and hence finance it through the network users, is the most economical attractive option for network operator and users.
available: 2023-07-04T07:29:49Z
has part: Data Appendix E.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/272
uri: https://fordatis.fraunhofer.de/handle/fordatis/334
sparql endpoint: sparql

iPSC colony, acquired with high-speed microscope
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
group: Produktion
institute: IPT Fraunhofer-Institut für Produktionstechnologie
rawdata: true
research framework programm: Europäischer Fonds für regionale Entwicklung (EFRE)
projectacronym: StemCellFactory
projectid: 005-1403-0102
projectid: 005-1007-0021
projectid: EFRE-0800978
projectname: Standardisierte und integrierte Verfahren zur personalisierten stammzellbasierten Wirkstoffprädiktion mittels reprogrammierter Blutzellen
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Nießing, Bastian
contributor: Nienhaus, Florian
contributor: Piotrowski, Tobias
creator: Nießing, Bastian
creator: Piotrowski, Tobias
date: 2023-12-13T13:00:54Z
language: other
abstract: Images of iPSCs taken in the StemCellFactory (more information about the project: Elanzew A, Nießing B, Langendoerfer D et al. (2020) The StemCellFactory: A Modular System Integration for Automated Generation and Expansion of Human Induced Pluripotent Stem Cells. Front. Bioeng. Biotechnol. 8:580352. doi: 10.3389/fbioe.2020.580352). The images show induced pluripotent stem cells at different times during their development. A Nikon Ti-Eclipse phase contrast microscope equipped with faster stage (Märzhäuser Wetzlar Scan IM 130 x 85), camera (PCO Edge 4.2) and lighting was used for all images.
abstract: Bilder von iPS, die in der StemCellFactory aufgenommen wurden (weitere Informationen über das Projekt: Elanzew A, Nießing B, Langendoerfer D et al. (2020) The StemCellFactory: A Modular System Integration for Automated Generation and Expansion of Human Induced Pluripotent Stem Cells. Front. Bioeng. Biotechnol. 8:580352. doi: 10.3389/fbioe.2020.580352). Die Bilder zeigen induzierte pluripotente Stammzellen zu verschiedenen Zeitpunkten ihrer Entwicklung. Für alle Untersuchungen wurde ein Nikon Ti-Eclipse Phasenkontrastmikroskop mit schnellerem Tisch (Märzhäuser Wetzlar Scan IM 130 x 85), Kamera (PCO Edge 4.2) und Beleuchtung verwendet. @de
available: 2023-12-13T13:00:54Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
title: iPSC-Kolonie, aufgenommen mit High-Speed-Mikroskop
doi: doi:10.24406/fordatis/287
uri: https://fordatis.fraunhofer.de/handle/fordatis/346
sparql endpoint: sparql

Parameter Harmonization of Jiles-Atherton model Variants
has bitstream: JAModel Thieltges25.m
has bitstream: func get last cycle.m
has bitstream: JAModel Bergqvist96.m
has bitstream: JAModel Jiles86.m
has bitstream: JAModel Jiles94.m
has bitstream: MAIN.m
has bitstream: JAModel Cheng18.m
has bitstream: func runDE 5param.m
has bitstream: JAModel Jiles92.m
has bitstream: JAModel Xue22.m
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
institute: IZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren
rawdata: false
contributor: Thieltges, Sascha
contributor: Hartmann, Uwe
creator: Thieltges, Sascha
date: 2025-11-26T12:20:28Z
language: en
abstract: This dataset provides the numerical results and optimization routines used to harmonize different Jiles–Atherton (JA) hysteresis model variants. The goal of the study was to determine whether parameter sets of one JA formulation can be transformed such that another formulation reproduces the same B(H) behaviour.
available: 2025-11-26T12:20:28Z
has part: JAModel Thieltges25.m
has part: func get last cycle.m
has part: JAModel Bergqvist96.m
has part: JAModel Jiles86.m
has part: JAModel Jiles94.m
has part: MAIN.m
has part: JAModel Cheng18.m
has part: func runDE 5param.m
has part: JAModel Jiles92.m
has part: JAModel Xue22.m
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/424
uri: https://fordatis.fraunhofer.de/handle/fordatis/467
sparql endpoint: sparql

Demonstration der Eignung des Herschel Bulkley Models als Rheologiemodell zum Beschreiben des Robocasting Prozesses
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: grant number KR1729/13−2 and TR250/12−2
projectname: Robocasting keramischer 3D-Strukturen: Experimentelle Untersuchungen und numerische Simulation des Gefüges und der Makrostruktur
contributor: Bierwisch, Claas
contributor: Dietemann, Bastien
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Kraft, Torsten
contributor: Travitzky, Nahum
contributor: Wahl, Larissa
creator: Bierwisch, Claas
creator: Dietemann, Bastien
creator: Travitzky, Nahum
creator: Wahl, Larissa
date: 2021-12-02T15:32:46Z
language: de
language: en
abstract: This simulation has been performed using the Herschel Bulkley rheology model, $\tau = \tau_0 + K \dot{\gamma} ^n$, with $\tau$ the resulting stress, a consistency $K$ = 2000 Pa s, a flow behavior index $n$ = 0.2, a yield stress $\tau_0$ = 500 Pa and and a stress growth exponent of 100 s that is used for the regularized scheme.
alternative: Vergleich der gedruckten Stränge im Experiment und in der Simulation
alternative: Comparison of experiment and simulation with respect to the shape of the printed filament
available: 2021-12-02T15:32:46Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021-11-29
rights: https://creativecommons.org/licenses/by/4.0/
title: Demonstration of the Herschel Bulkley model as useable rheology model to describe the robocasting process
doi: doi:10.24406/fordatis/165
uri: https://fordatis.fraunhofer.de/handle/fordatis/238
sparql endpoint: sparql

EIPPBM_IFIPSummerSchool: Image "End-User Information Privacy Protection Behavior"
has bitstream: EIPPBM IFIPSummerSchool.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Ebbers, Frank
creator: Ebbers, Frank
date: 2023-07-11T07:40:20Z
language: en
abstract: Image is Part of the paper
available: 2023-07-10T09:35:46Z
available: 2023-07-11T07:40:20Z
has part: EIPPBM IFIPSummerSchool.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/273.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/335.2
sparql endpoint: sparql

Der Einfluss des Präsenzerlebens auf die Lern- und Trainingseffekte in einer Virtual-Reality Simulationsumgebung
has bitstream: Primärdaten PDI53025 Kontrollgruppe FB 11-2018.xlsx
has bitstream: Primärdaten PDI53025 Studiengruppe VR 11-2018.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
funding programme: Digitale Medien in der beruflichen Bildung
research framework programm: Berufsbildung 4.0
projectacronym: EPICSAVE
projectid: 01PD15004
projectname: Enhanced ParamedIC vocational training with Serious games And Virtual Environments
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Lerner, Dieter
contributor: Pranghofer, Johannes
contributor: Franke, Andreas
creator: Lerner, Dieter
creator: Pranghofer, Johannes
creator: Franke, Andreas
date: 2019-09-11T14:04:10Z
language: de
abstract: In multimedia research, the presence experience is attributed a central role in experiential learning in highly immersive virtual educational environments. In this paper, the hypothetical cause-effect relationships between a spatial presence experience and different learning and training effects are theoretically analyzed and empirically tested. The field study was carried out in the EPICSAVE project. In this project, a virtual reality simulation environment for the training in paramedical education was developed and tested in educational practice. The main results indicate that presence experience does not per se have a direct impact on all learning and training effects.
abstract: Dem Präsenzerleben wird eine das Lernen verstärkende Rolle in hoch-immersiven virtuellen Lern- oder Trainingswelten zugeschrieben. In diesen Beitrag werden hypothetische Wirkungszusammenhänge zwischen einem räumlichen Präsenzerleben und Lern- bzw. Trainingseffekten rekonstruiert und empirisch geprüft. Die Feldstudie wurde im Rahmen des Projekts EPICSAVE durchgeführt. In diesem Projekt wurde eine auf Virtual-Reality-Technologie basierende Simulationsumgebung für angehende Notfallsanitäter entwickelt und in der Bildungspraxis erprobt. Die Ergebnisse zeigen, dass das Präsenzerleben nicht per se einen direkten Einfluss auf alle Lern- und Trainingseffekte gleichermaßen hat. @de
available: 2019-09-11T14:04:10Z
created: 2018-11
has part: Primärdaten PDI53025 Kontrollgruppe FB 11-2018.xlsx
has part: Primärdaten PDI53025 Studiengruppe VR 11-2018.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2019
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/6
uri: https://fordatis.fraunhofer.de/handle/fordatis/87
sparql endpoint: sparql

PICtor - Beispielmarkierungen
has bitstream: IPF - Paperproben -Beispielbilder - Fordatis.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/22
issued: 2024-01
group: Werkstoffe, Bauteile
institute: IFAM Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung
rawdata: true
projectacronym: PICtor
projectname: Prozessintegrierte Immobilisierung von optischen Markern an Formteiloberflächen zur individuellen und robusten Bauteilkennzeichnung
contributor: Fraunhofer-Gesellschaft FhG
contributor: Wiesing, Martin
contributor: Faulhaber, Max
creator: Wiesing, Martin
creator: Faulhaber, Max
date: 2024-10-21T11:16:02Z
language: de
abstract: Lichtmikroskopische Aufnahmen von PUF Markierungen auf PC und PBT @de
alternative: PUF-Markierungen
available: 2024-10-21T11:16:02Z
has part: IPF - Paperproben -Beispielbilder - Fordatis.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/22
issued: 2024
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/337
uri: https://fordatis.fraunhofer.de/handle/fordatis/391
sparql endpoint: sparql

Auxiliary data tables relating process parameters and parameters of the Herschel-Bulkley rheology model to a deformation profile
has bitstream: relation-consistency-to-mean-velocity.csv
has bitstream: process-parameters-to-reach-target-shear-distribution.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: KR 1729/13-2
contributor: Bierwisch, Claas
contributor: Dietemann, Bastien
contributor: Deutsche Forschungsgemeinschaft DFG
creator: Bierwisch, Claas
creator: Dietemann, Bastien
date: 2022-06-03T11:11:01Z
language: en
abstract: This data set contains two files. The first file "process-parameters-to-reach-target-shear-distribution.csv" provides a detailed set of curves in accordance with Figure 3.4 in the linked paper. Here, the first row "PhiGammaSuf" is the ordinate and all following rows are the respective abscissae for a certain pair of sufficient shear (gammaSuf) and flow exponent n. Please refer to the main text of the paper for a detailed explanation. The second file "relation-consistency-to-mean-velocity.csv" consists of the data set in accordance with Figure 3.7. Here, the first column "R-DeltaP-By-L-tau0" is the ordinate and all subsequent columns belong to a certain flow index. The headers have a format of "y-for-n={value}", where "y" is a substitution for $\frac{K}{\tau_0} \left(\frac{v_\text{mean}}{R}\right)^n$ as shown on the abscissa in Figure 3.7 and {value} is the corresponding flow index of interest. Again, please refer to the main text for a detailed explanation.
available: 2022-06-03T11:11:01Z
has part: relation-consistency-to-mean-velocity.csv
has part: process-parameters-to-reach-target-shear-distribution.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2022-05-31
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/199
uri: https://fordatis.fraunhofer.de/handle/fordatis/270
sparql endpoint: sparql

Twin House Experiment IEA EBC Annex 71 Validation of Building Energy Simulation Tools - Specifications and dataset
has bitstream: 01 Experimental specification BESmodVAL annex71 final v1 0.pdf
has bitstream: 02 Additional Documents.zip
has bitstream: 03 Data Main Experiment.zip
has bitstream: 00 File Structure.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
group: Werkstoffe, Bauteile - MATERIALS
institute: IBP Fraunhofer-Institut für Bauphysik
rawdata: false
projectacronym: InSituNAchweis
projectid: 03ET1509A
projectname: Entwicklung einer Methodik zur Bestimmung der Energieeffizienz von Gebäuden auf Basis von optimierten in situ Messungen
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Strachan, Paul
contributor: Kersken, Matthias
creator: Strachan, Paul
creator: Kersken, Matthias
date: 2020-05-20T09:00:07Z
language: en
abstract: This document and dataset sets out the specification for the empirical validation experiment conducted on the Twin Houses at the Fraunhofer IBP test site in Holzkirchen, Germany in the winter of 2018/19, as part of IEA EBC Annex 71. This document, together with the additional information provided (images, thermal bridge calculations, layout drawings, experimental details and experimental data) constitutes a full specification of the experiment, makeing it available for further validation and training purposes.
available: 2020-05-20T09:00:07Z
created: 2019
has part: 01 Experimental specification BESmodVAL annex71 final v1 0.pdf
has part: 02 Additional Documents.zip
has part: 03 Data Main Experiment.zip
has part: 00 File Structure.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
issued: 2020-05-19
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/76
uri: https://fordatis.fraunhofer.de/handle/fordatis/161
sparql endpoint: sparql

Questionnaire layout, order and screenshots
has bitstream: Questionnaire Layout Paper Influencing factors users privacy security protection behavior.pdf.txt
has bitstream: Questionnaire Layout Paper Influencing factors users privacy security protection behavior.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: true
contributor: Karaboga, Murat
contributor: Ebbers, Frank
creator: Karaboga, Murat
creator: Ebbers, Frank
date: 2022-09-08T08:13:06Z
language: de
abstract: This document represents the original questions for the survey conducted in the paper “Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study” by Frank Ebbers and Murat Karaboga. Original screenshots and the questions in text are present in German, French and Italian.
alternative: For Paper: Ebbers, Karaboga (2022): Influencing Factors for Users' Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study. The 4th Workshop on Security, Privacy, Organizations, and Systems Engineering, held at ESORICS 2022
available: 2022-09-08T08:13:06Z
has part: Questionnaire Layout Paper Influencing factors users privacy security protection behavior.pdf.txt
has part: Questionnaire Layout Paper Influencing factors users privacy security protection behavior.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2022
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/211
uri: https://fordatis.fraunhofer.de/handle/fordatis/282
sparql endpoint: sparql

SYNOSIS dataset
has bitstream: SynthPreprocess CNR0 05.zip
has bitstream: Dataset Teaser (samples).pdf
has bitstream: Readme Synth.md
has bitstream: Real.zip
has bitstream: Readme Real.md
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
group: IUK-Technologie
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: true
projectacronym: SynosIs
projectid: 01IS21058
projectname: Synthetic, Optically Realistic Image Data of Surface Structures for AI-Based Inspection Systems
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Gospodnetic, Petra
contributor: Fulir, Juraj
contributor: Bosnar, Lovro
contributor: Jeziorski, Natascha
contributor: Redenbach, Claudia
contributor: Trost, Marcus
contributor: Herrfurth, Tobias
contributor: Hagen, Hans
contributor: Gischkat, Thomas
creator: Gospodnetic, Petra
creator: Fulir, Juraj
creator: Bosnar, Lovro
creator: Jeziorski, Natascha
creator: Redenbach, Claudia
creator: Trost, Marcus
creator: Herrfurth, Tobias
creator: Hagen, Hans
creator: Gischkat, Thomas
date: 2024-10-17T13:11:02Z
language: en
abstract: 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.
alternative: SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection
available: 2024-10-17T13:11:02Z
has part: SynthPreprocess CNR0 05.zip
has part: Dataset Teaser (samples).pdf
has part: Readme Synth.md
has part: Real.zip
has part: Readme Real.md
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2024-10-16
rights: mit
doi: doi:10.24406/fordatis/370
uri: https://fordatis.fraunhofer.de/handle/fordatis/420
sparql endpoint: sparql

Digital Ecosystem Service Classification
has bitstream: Digital Ecosystem Service Classification.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
contributor: Krohmer, Daniel
contributor: Trapp, Marcus
contributor: Rost, Dominik
contributor: Koch, Matthias
contributor: Naab, Matthias
creator: Krohmer, Daniel
creator: Trapp, Marcus
creator: Rost, Dominik
creator: Koch, Matthias
creator: Naab, Matthias
date: 2021-07-28T06:05:31Z
language: en
abstract: Application of digital ecosystem criteria on digital ecosystem service candidates, to classify these candidates as digital ecosystem services or non digital ecosystem services.
abstract: Note: In case one criterium for a digital ecosystem service candidate is not fulfilled, the remaining ones have not been checked, indicated through "n/a".
available: 2021-07-28T06:05:31Z
has part: Digital Ecosystem Service Classification.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2021-07-23
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/141
uri: https://fordatis.fraunhofer.de/handle/fordatis/214
sparql endpoint: sparql

EIPPBM_IFIPSummerSchool: Image "End-User Information Privacy Protection Behavior"
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Ebbers, Frank
creator: Ebbers, Frank
date: 2023-07-10T09:35:46Z
language: en
abstract: Image is Part of the paper
available: 2023-07-10T09:35:46Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/273
uri: https://fordatis.fraunhofer.de/handle/fordatis/335
sparql endpoint: sparql

Transcripts of expert interviews concerning requirements and current practices of cross-divisional cybersecurity risk management in automotive
has bitstream: Transcripts expert interviews cross-divisional cybersecurity risk management in automotive v1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/64
group: IUK-Technologie
group: Mikroelektronik
institute: AISEC Fraunhofer-Institut für Angewandte und Integrierte Sicherheit
rawdata: false
research framework programm: Neue Fahrzeug- und Systemtechnologien
projectacronym: ATLAS-L4
projectname: Automatisierter Transport zwischen Logistikzentren auf Schnellstraßen im Level 4. Teilvorhaben: Security-Umfänge
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Wagner, Patrick
creator: Wagner, Patrick
date: 2025-07-01T13:24:51Z
language: de
language: en
abstract: Die Zusammenarbeit zwischen verschiedenen Bereichen der Automobilindustrie, darunter Fahrzeugentwicklung, Produktion und Backend-Services, erhöht die Komplexität des Cybersicherheitsrisikomanagements. Standards wie ISO/SAE 21434, die ISO/IEC 27000-Familie und die IEC 62443-Reihe bieten zwar jeweils branchenspezifische Leitlinien, doch eine gezielte Analyse zeigt, dass sie kein vollständig integriertes, bereichsübergreifendes Rahmenwerk bieten. Vielmehr enthalten sie verstreute Leitlinien zu Themen wie Kommunikationskanälen, externen Abhängigkeiten und abgestimmten Risikokriterien, sodass es den Unternehmen überlassen bleibt, diese Elemente zu vereinheitlichen. Um zu untersuchen, wie sich diese Lücke in der Praxis äußert, wurden semi-strukturierte Interviews mit sechs Automobilherstellern durchgeführt, in denen reale Herausforderungen und Strategien für das bereichsübergreifende Cybersicherheitsrisikomanagement erfasst wurden. Die Ergebnisse zeigen unterschiedliche Methoden der Risikobewertung, uneinheitliche Terminologie und fragmentierte Kommunikationskanäle zwischen diesen Bereichen, die eine ganzheitliche Sicherheitsstrategie erschweren. Umgekehrt unterstreichen die Ergebnisse die Vorteile koordinierter Strategien, wie z. B. eine verbesserte Risikotransparenz, eine effizientere Ressourcenzuweisung und eine stärkere Einhaltung gesetzlicher Vorschriften. @de
abstract: Collaboration across multiple divisions in the automotive industry, including vehicle engineering, production, and backend services, complicates cybersecurity risk management. While standards such as ISO/SAE 21434, the ISO/IEC 27000 family, and the IEC 62443 series each offer domain-specific guidance, a focused review shows they do not offer a fully integrated, cross-divisional framework. Rather, they present scattered guidance on topics like communication channels, external dependencies, and aligned risk criteria, leaving it to organizations to unify these elements. To explore how this gap manifests in practice, semi-structured interviews were conducted with six automotive manufacturers, capturing real-world challenges and strategies for cross-divisional cybersecurity risk management. The findings reveal disparate risk assessment methods, inconsistent terminology, and fragmented communication channels among these divisions, which hinder a holistic security posture. Conversely, the results highlight the benefits of coordinated strategies, such as enhanced risk transparency, more efficient resource allocation, and stronger regulatory compliance.
available: 2025-07-01T13:24:51Z
has part: Transcripts expert interviews cross-divisional cybersecurity risk management in automotive v1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/64
issued: 2025
rights: http://rightsstatements.org/vocab/InC/1.0/
title: Transkripte von Experteninterviews zu Anforderungen und aktuellen Praktiken von bereichsübergreifendem Cybersecurity Risikomanagement in der Automobilindustrie
doi: doi:10.24406/fordatis/399
uri: https://fordatis.fraunhofer.de/handle/fordatis/444
sparql endpoint: sparql

Energy Consumption of Production System in SmartFactoryOWL over four days (07.11.2023 to 10.11.2023).
has bitstream: Verbrauch CUNA 07.11.2023-10.11.2023.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: IUK-Technologie
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
funding programme: KI-Leuchttürme für Umwelt, Klima, Natur und Ressourcen
projectacronym: Smart-E-Factory
projectname: Energetisch Smarte Fabrik für die ressourcenschonende Produktion
contributor: Arbesun Perez, Nissrin
contributor: Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz BMUV (Deutschland)
contributor: Zelba, Franziska
creator: Arbesun Perez, Nissrin
creator: Zelba, Franziska
date: 2025-02-19T08:30:26Z
language: en
abstract: The system is an injection molding production facility that is operated in the SmartFactoryOWL living lab. Plastic cups are produced in a two-cavity mold. The injection molding production consists of an injection molding machine, granulate drying, temperature regulation, cooling, laser marking and robotics. The data set contains energy consumption of the complete system over four days of production (07.11.2023 to 10.11.2023). Two energy strings are included in the data set, as well as the total energy consumption
available: 2025-02-19T08:30:26Z
has part: Verbrauch CUNA 07.11.2023-10.11.2023.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2025-03-01
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/386
uri: https://fordatis.fraunhofer.de/handle/fordatis/432
sparql endpoint: sparql

Exposé zur Feldstudie im Forschungsprojekt SPELL
has bitstream: Exposé zur Feldforschung v.05 Zwischenstand 231222.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
projectacronym: SPELL
projectname: Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren
contributor: Elsenbast, Christian
contributor: Van Lengen, Rolf
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Reuter-Oppermann, Melanie
contributor: Franke, Simon
contributor: Rietzke, Eric
creator: Elsenbast, Christian
date: 2023-02-23T08:40:52Z
language: de
abstract: Um Transparenz und Reproduzierbarkeit zu ermöglichen, wird der Forschungsplan zur Feldforschung im Projekt veröffentlicht. Die Feldforschung adressiert Aspekte der Aufmerksamkeitsverteilung und des Mental Workloads während der Prozesse "Notrufannahme" und "Einsatzdisposition". @de
alternative: Forschungsplan zur Feldstudie im Forschungsprojekt SPELL
available: 2023-02-23T08:40:52Z
has part: Exposé zur Feldforschung v.05 Zwischenstand 231222.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2022-12-23
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Exposé of the field study in the research project SPELL
doi: doi:10.24406/fordatis/247
uri: https://fordatis.fraunhofer.de/handle/fordatis/311
sparql endpoint: sparql

Data set for AI a ssisted detection of the belt tension on a conveyer belt for condition monitoring
has bitstream: Conveyor Belt 9.hd5
has bitstream: Conveyor Belt 2.hd5
has bitstream: Conveyor Belt 7.hd5
has bitstream: Conveyor Belt 4.hd5
has bitstream: Conveyor Belt 6.hd5
has bitstream: Conveyor Belt 5.hd5
has bitstream: Conveyor Belt 1.hd5
has bitstream: Conveyor Belt 8.hd5
has bitstream: Conveyor Belt 10.hd5
has bitstream: Conveyor Belt 3.hd5
has bitstream: 20230908-JON-Dokumentation-Messungen-Bandspannung Förderband.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
group: Mikroelektronik
institute: IPMS Fraunhofer-Institut für Photonische Mikrosysteme
rawdata: true
contributor: Fraunhofer-Gesellschaft FhG
contributor: Devi, Sharda
contributor: Jongmanns, Marcel
creator: Devi, Sharda
creator: Jongmanns, Marcel
date: 2023-10-04T07:09:14Z
language: en
abstract: A measurement setup based on an accelerometer, MEMS gyroscope and magnetometer was used to gather data on a conveyor belt to determine the tension of the belt. 100,000 data points are split into 10 measurement series with 10,000 data points each. Each data point consists of 9 time series of the 3 sensors with 3 axis each.
available: 2023-10-04T07:09:14Z
has part: Conveyor Belt 9.hd5
has part: Conveyor Belt 2.hd5
has part: Conveyor Belt 7.hd5
has part: Conveyor Belt 4.hd5
has part: Conveyor Belt 6.hd5
has part: Conveyor Belt 5.hd5
has part: Conveyor Belt 1.hd5
has part: Conveyor Belt 8.hd5
has part: Conveyor Belt 10.hd5
has part: Conveyor Belt 3.hd5
has part: 20230908-JON-Dokumentation-Messungen-Bandspannung Förderband.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
issued: 2023
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/289
uri: https://fordatis.fraunhofer.de/handle/fordatis/347
sparql endpoint: sparql

Rohdaten Empirischer Studien zur PhD Thesis "Role-Specific Views on Software Requirements Specifications" - An Empirical Approach
has bitstream: RawData-DataCollection-EmpiricalBaseline.xlsx
has bitstream: RawData-CaseStudy.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
contributor: Schneider, Kurt
contributor: Heß, Anne
contributor: Paech, Barbara
contributor: Rombach, Dieter
creator: Heß, Anne
date: 2021-05-04T07:00:29Z
language: en
abstract: This data set comprises questionnaire data that was captured to investigate the relevance of requirements artifacts for conducting role specific tasks from the viewpoint of software architects, designers and software testers. Moreover, the data set includes questionnaire data of a case study that was conducted to investigate benefits and limitations of role-specific views on software requirements specifications. The data served as empirical baseline for several data analysis activities conducted within the scope of a PhD Thesis entitled "Role-Specific Views on Software Requirements Specifications - An Empirical Approach".
alternative: Empirical Baseline that underlies PhD Thesis "Role-Specific Views on Software Requirements Specifications" - An Empirical Approach
available: 2021-05-04T07:00:29Z
has part: RawData-DataCollection-EmpiricalBaseline.xlsx
has part: RawData-CaseStudy.xlsx
is part of: urn:nbn:de:0011-n-6057843
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2021
rights: https://creativecommons.org/licenses/by-nc/4.0/
title: Empirical Baseline for the Investigation of Role-Specific Information Needs
doi: doi:10.24406/fordatis/128
uri: https://fordatis.fraunhofer.de/handle/fordatis/202
sparql endpoint: sparql

MaterialDigital Dataset
has bitstream: BWMD Dataset.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
doi: 10.24406/publica-fhg-300549
issued: 2020-06
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
research framework programm: Digitalisierung: Chance für Nachhaltigkeit und Energiewende
projectname: MaterialDigital
contributor: Butz, Alexander
contributor: Preußner, Johannes
contributor: Wessel, Alexander
contributor: Thomas, Akhil
contributor: Klotz, Ulrich
contributor: Augenstein, Eva
contributor: Oesterlin, Heiner
contributor: Tlatlik, Johannes
contributor: Reichenbach, Rebecca
contributor: Bulling, Florian
contributor: Grau, Guido
contributor: Friedmann, Valerie
contributor: Schweizer, Christoph
contributor: Tiberto, Dariu
contributor: Lienhard, Jörg
contributor: Hartrott, Philipp von
creator: Butz, Alexander
creator: Preußner, Johannes
creator: Wessel, Alexander
creator: Thomas, Akhil
creator: Klotz, Ulrich
creator: Augenstein, Eva
creator: Oesterlin, Heiner
creator: Tlatlik, Johannes
creator: Reichenbach, Rebecca
creator: Bulling, Florian
creator: Grau, Guido
creator: Friedmann, Valerie
creator: Schweizer, Christoph
creator: Tiberto, Dariu
creator: Lienhard, Jörg
creator: Hartrott, Philipp von
date: 2023-06-19T12:51:12Z
language: en
abstract: The MaterialDigital or BWMD dataset is an RDF data repository generated by the Use Case Metals within the framework of the MaterialDigital project. It showcases the digitalization of the aluminum permanent mold casting process, followed by a two-stage heat treatment, involving solution annealing and artificial aging by means of ontology based semantic data structures. For the purposes of the study, the casting alloy AlSi10Mg was used. In two casting campaigns, project-specific databases were established using test bars, which were subjected to mechanical and analytical material characterization. A demonstrator casting was also cast, and subjected to static bending stress on a laboratory test rig. For both casting campaigns, variations in chemical composition of the AlSi10Mg alloy were introduced with respect to the silicon and magnesium content. Accompanying the casting campaigns were casting simulations to refine model parameters through temperature measurements in the test bar mold. There were two primary objectives of the project. The first aim was to leverage the digital workflow to structure the data from the test bar characterization campaign. Individual data sets from each process step were linked together to create a comprehensive and coherent knowledge graph of the process chain, which was then transferred to a graph database. The development of a domain ontology for the process chain allowed the extraction of expert knowledge on the impact of chemical composition and heat treatment parameters on various mechanical properties from the material data space. Beyond querying metadata, the heterogeneous raw data sets could also be accessed by machines, as evidenced by tensile tests. This technology is thus transformative in its ability to capture material- and process-specific expert knowledge, serving as the basis for further data-based analyses. In practical terms, this can guide decision-making regarding the ideal heat treatment parameters given the chemical …
alternative: BWMD Dataset Legacy
available: 2023-06-19T12:51:12Z
has part: BWMD Dataset.zip
is part of: https://publica.fraunhofer.de/handle/publica/300549
is part of: https://gitlab.cc-asp.fraunhofer.de/gf7_public/iwm-gdtool/-/tree/master/BWMD_legacy
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
is referenced by: https://gitlab.cc-asp.fraunhofer.de/gf7_public/iwm-gdtool/-/blob/master/BWMD_legacy/Readme.md
issued: 2020-06-30
rights: https://creativecommons.org/licenses/by/4.0/
title: MaterialDigital
doi: doi:10.24406/fordatis/260
uri: https://fordatis.fraunhofer.de/handle/fordatis/323
sparql endpoint: sparql

Online Supplementary Appendix - Decision Criteria for Selecting Data Infrastructure Design Options in the Private Sector
has bitstream: Appendix C - Decision tool Data Infrastructure Design Options.xlsx
has bitstream: Appendix B - Practical Methodology for Selecting Data Infrastructure Design Options.pdf
has bitstream: Appendix A - Reviewed Literature.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
group: IUK-Technologie
institute: ISST Fraunhofer-Institut für Software- und Systemtechnik
rawdata: false
contributor: Jahnke, Nils
contributor: Mannsfeld, Maik
creator: Jahnke, Nils
creator: Mannsfeld, Maik
date: 2025-09-15T10:08:24Z
language: en
abstract: This online supplementary appendix to the paper "Decision Criteria for Selecting Data Infrastructure Design Options in the Private Sector" presents additional material from our Design Science Research project that was omitted from the original publication. Appendix A provides a complete list of publications included in the literature review process. Appendix B presents a practical methodology for applying the catalog of criteria to identify and evaluate design options for private-sector data infrastructures for data sharing. Finally, Appendix C offers a multi-criteria decision-making tool for selecting the most suitable design option for private-sector data infrastructures for data sharing.
available: 2025-09-15T10:08:24Z
has part: Appendix C - Decision tool Data Infrastructure Design Options.xlsx
has part: Appendix B - Practical Methodology for Selecting Data Infrastructure Design Options.pdf
has part: Appendix A - Reviewed Literature.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
issued: 2026
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/412
uri: https://fordatis.fraunhofer.de/handle/fordatis/456
sparql endpoint: sparql

Q-Rapids Evaluation Material
has bitstream: Tool Questionnaire.pdf
has bitstream: QR Task.pdf
has bitstream: QR Questionnaire.pdf
has bitstream: Tool Task.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
funding programme: EU.2.1.1.
research framework programm: H2020
projectacronym: Q-Rapids
projectid: 732253
projectname: Quality-Aware Rapid Software Development
contributor: European Commission EC
contributor: Vollmer, Anna Maria
contributor: Martínez Fernández, Silverio Juan
creator: Vollmer, Anna Maria
creator: Martínez Fernández, Silverio Juan
date: 2019-11-11T11:32:23Z
language: en
abstract: It contains materials used during the second formative evaluation of the Q-Rapids project.
available: 2019-10-23T13:51:06Z
available: 2019-11-11T11:32:23Z
created: 2018-10
has part: Tool Questionnaire.pdf
has part: QR Task.pdf
has part: QR Questionnaire.pdf
has part: Tool Task.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2019
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/39.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/123.2
sparql endpoint: sparql

Dataset for AI-assisted detection of the wear level of a cutting tool on a CNC mill
has bitstream: parameter3.hdf5
has bitstream: parameter2.hdf5
has bitstream: 20230926-JON-Documentation Fortune1 CNC mill data.xlsx
has bitstream: images parameter2.zip
has bitstream: images steel.zip
has bitstream: 20230926-JON-Documentation Fortune1 CNC mill data.pdf
has bitstream: parameter4.hdf5
has bitstream: parameter5.hdf5
has bitstream: steel.hdf5
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
group: Mikroelektronik
institute: IPMS Fraunhofer-Institut für Photonische Mikrosysteme
rawdata: true
projectacronym: ForTune
projectid: 16ES1128K
projectname: iCampus Arbeitspaket 6: Multi-Sensor Condition Monitoring
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Jongmanns, Marcel
contributor: Meisel, Tenia
contributor: Städter, Philipp
creator: Jongmanns, Marcel
creator: Meisel, Tenia
creator: Städter, Philipp
date: 2023-10-11T13:07:40Z
language: en
abstract: A METROM CNC mill was equipped with a microphone and an accelerometer to determine whether the used milling tool was in a good state or blunt. The measurement data was collected over several measurement series. The used tool was replaced at the beginning of each series with a new, similar tool. The working material was always steel. Machine parameters such as feed rate and rotational speed of the tool has been varied between different series. The machine was operated over a defined time frame while data was collected. After that, the machine was stopped, and the operator classified the quality of cut. The quality is directly related to the condition of the tool. The higher the wear, the worse the quality. Using this approach, we build a dataset consisting of different measurement series to show the degradation of a CNC cutter using vibration and acoustic measurements.
available: 2023-10-11T13:07:40Z
has part: parameter3.hdf5
has part: parameter2.hdf5
has part: 20230926-JON-Documentation Fortune1 CNC mill data.xlsx
has part: images parameter2.zip
has part: images steel.zip
has part: 20230926-JON-Documentation Fortune1 CNC mill data.pdf
has part: parameter4.hdf5
has part: parameter5.hdf5
has part: steel.hdf5
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
issued: 2023
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/290
uri: https://fordatis.fraunhofer.de/handle/fordatis/348
sparql endpoint: sparql

Supplementary Data for "Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models"
has bitstream: results experiments.xlsx
has bitstream: cover-text.txt
has bitstream: prompts.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
group: IUK-Technologie
institute: ISST Fraunhofer-Institut für Software- und Systemtechnik
rawdata: false
research framework programm: Center of Excellence Logistics and IT
projectacronym: Innamark
projectname: Invisible Watermarking
contributor: Fraunhofer-Gesellschaft FhG
contributor: Hellmeier, Malte
creator: Hellmeier, Malte
date: 2025-12-09T09:40:20Z
language: en
abstract: This dataset includes Large Language Models (LLM) prompts and the cover text, used for the three experiments conducted in the conference paper "Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models". It also includes the results of all three experiments.
alternative: Supplementary Data of the Conducted Experiments in the Conference Paper
available: 2025-12-09T09:40:20Z
has part: results experiments.xlsx
has part: cover-text.txt
has part: prompts.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
issued: 2025
rights: apache-2.0
doi: doi:10.24406/fordatis/426
uri: https://fordatis.fraunhofer.de/handle/fordatis/469
sparql endpoint: sparql

JERRI Goal setting workshop documentation FhG
has bitstream: Fraunhofer Goal setting workshop docuemtation FHG.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Teufel, Benjamin
contributor: Röß, Andreas
contributor: Charles University Grant Agency GAUK
creator: Teufel, Benjamin
creator: Röß, Andreas
date: 2019-10-25T13:29:40Z
language: en
abstract: This data set contains the documentation of the first round of workshops (goal setting workshops) that were carried out by Fraunhofer ISI within the EU project JERRI (Joining Efforts for Responsible Research and Innoavtion). The first round of workshops were dedicated to develop long-term RRI goals. As part of work package 2 "development of RRI goals at Fraunhofer", the development of these goals evolved around five workshop-based processes related to the five key dimension of Responsible Research and Innovation (RRI) - Ethics, Societal Engagement, Open Access, Gender Equality and Science Education. Beyond the documentation of the developed visions, long-term orientations and goals, this data set contains also a description of the developed concrete actions (pilot activities) that are considered as a start for a long-term transformation of Fraunhofer towards RRI and to fulfill these goals.
available: 2019-10-25T13:29:40Z
created: 2017-04
has part: Fraunhofer Goal setting workshop docuemtation FHG.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/24
uri: https://fordatis.fraunhofer.de/handle/fordatis/106
sparql endpoint: sparql

JERRI Interviews barriers FhG
has bitstream: JERRI Interviews barriers FhG.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Röß, Andreas
contributor: Mundt, Ingmar
contributor: Warnke, Philine
creator: Röß, Andreas
creator: Mundt, Ingmar
creator: Warnke, Philine
date: 2019-10-25T13:48:06Z
language: de
abstract: This data set contains the interview results with Fraunhofer staff concerning the topic of RRI (Responsible Research and Innovation) and the possibilites but also the challenges of how to create organizational transformation towards RRI. These interviews were carried within the EU project JERRI (Joining Efforts for Responsible Research and Innovation).
available: 2019-10-25T13:48:06Z
created: 2018
has part: JERRI Interviews barriers FhG.xlsx
is part of: urn:nbn:de:0011-n-5617537
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/34
uri: https://fordatis.fraunhofer.de/handle/fordatis/118
sparql endpoint: sparql

Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
has bitstream: wwtp.gpkg
has bitstream: rivers lakes.gpkg
has bitstream: wte.gpkg
has bitstream: hydrothermal 65.gpkg
has bitstream: dh areas.gpkg
has bitstream: petrothermal 65.gpkg
has bitstream: biomass nuts2.gpkg
has bitstream: petrothermal 85.gpkg
has bitstream: industrial eh.gpkg
has bitstream: hydrothermal 85.gpkg
has bitstream: Results DH Matching Cluster.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
contributor: Kranzl, Lukas
contributor: Billerbeck, Anna
contributor: Fallahnejad, Mostafa
contributor: Kök, Ali
contributor: Braungardt, Sibylle
creator: Manz, Pia
creator: Billerbeck, Anna
creator: Fallahnejad, Mostafa
date: 2023-09-21T13:12:05Z
language: en
abstract: Supplementary datasets to the journal paper in excel format for results and GIS-datasets in vector format for datasets
available: 2023-07-26T09:34:40Z
available: 2023-09-21T13:12:05Z
has part: wwtp.gpkg
has part: rivers lakes.gpkg
has part: wte.gpkg
has part: hydrothermal 65.gpkg
has part: dh areas.gpkg
has part: petrothermal 65.gpkg
has part: biomass nuts2.gpkg
has part: petrothermal 85.gpkg
has part: industrial eh.gpkg
has part: hydrothermal 85.gpkg
has part: Results DH Matching Cluster.xlsx
is part of: journal paper publication: Manz, P.; Billerbeck, A.; Kök, A.; Fallahnejad, M.; Fleiter, T.; Kranzl, L.; Braungardt, S.; Eichhammer, W.: Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe, Renewable Energy, 2023 [under review]
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-07-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/280.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/341.2
sparql endpoint: sparql

Vibrationsmessungen an einer rotierenden Welle bei verschiedenen Unwuchtstärken
has bitstream: README.md
has bitstream: fraunhofer eas dataset for unbalance detection v2.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: false
contributor: Enge-Rosenblatt, Olaf
contributor: Schneider, André
contributor: Neudeck, Willi
contributor: Mey, Oliver
creator: Enge-Rosenblatt, Olaf
creator: Schneider, André
creator: Neudeck, Willi
creator: Mey, Oliver
date: 2022-12-12T10:14:59Z
language: en
abstract: This dataset contains vibration data recorded on a rotating drive train. This drive train consists of an electronically commutated DC motor and a shaft driven by it, which passes through a roller bearing. With the help of a 3D-printed holder, unbalances with different weights and different radii were attached to the shaft. Besides the strength of the unbalances, the rotation speed of the motor was also varied. This dataset can be used to develop and test algorithms for the automatic detection of unbalances on drive trains. Datasets for 4 differently sized unbalances and for the unbalance-free case were recorded. The vibration data was recorded at a sampling rate of 4096 values per second. Datasets for development (ID "D[0-4]") as well as for evaluation (ID "E[0-4]") are available for each unbalance strength. The rotation speed was varied between approx. 630 and 2330 RPM in the development datasets and between approx. 1060 and 1900 RPM in the evaluation datasets. For each measurement of the development dataset there are approx. 107min of continuous measurement data available, for each measurement of the evaluation dataset 28min. Details of the recorded measurements and the used unbalance strengths are documented in the README.md file.
abstract: Dieser Datensatz enthält Vibrationsdaten, die an einem rotierenden Antriebsstrang aufgezeichnet wurden. Der Antriebsstrang besteht dabei aus einem elektronisch kommutierten Gleichstrommotor und einer von diesem angetriebenen Welle, die durch ein Wälzlager läuft. An der Welle wurden mithilfe eines 3D-gedruckten Halters Unwuchten mit verschiedenen Gewichten und an unterschiedlichen Radien befestigt. Neben der Stärke der Unwuchten wurde auch die Drehzahl des Motors variiert. Mit diesem Datensatz können Algorithmen für die automatische Erkennung von Unwuchten an Antriebssträngen entwickelt und getestet werden. Es wurden Datensätze für 4 unterschiedlich große Unwuchten und für den unwuchtfreien Fall aufgenommen. Die Vibrationsdaten wurden mit einer Abtastrate von 4096 Werten pro Sekunde aufgezeichnet. Für jede Unwuchtstärke stehen Datensätze sowohl für die Entwicklung (ID "D[0-4]") als auch für die Evaluation (ID "E[0-4]") von Klassifikationsmodellen zur Verfügung. Die Drehzahl wurde in den Entwicklungsdatensätzen zwischen ca. 630 und 2330 U/min und in den Auswertungsdatensätzen zwischen ca. 1060 und 1900 U/min variiert. Für jede Messung des Entwicklungsdatensatzes stehen ca. 107min an kontinuierlichen Messdaten zur Verfügung, für jede Messung des Evaluationsdatensatzes 28min. Details zu den aufgezeichneten Messungen und den verwendeten Unwuchtstärken sind in der Datei README.md dokumentiert. @de
available: 2020-03-31T06:16:05Z
available: 2020-04-14T10:59:09Z
available: 2022-12-12T10:14:59Z
created: 2020-03-25
has part: README.md
has part: fraunhofer eas dataset for unbalance detection v2.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
is referenced by: 10.1109/ETFA46521.2020.9212000
issued: 2020-03-25
rights: https://creativecommons.org/licenses/by/4.0/
title: Vibration Measurements on a Rotating Shaft at Different Unbalance Strengths
doi: doi:10.24406/fordatis/65.3
uri: https://fordatis.fraunhofer.de/handle/fordatis/151.3
sparql endpoint: sparql

Fraunhofer-Fachinformationsmanagement in der externen Wissenschaftskommunikation
has bitstream: Codebuch.pdf
has bitstream: Bereinigte Daten anonymisiert numerisch.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
institute: IPT Fraunhofer-Institut für Produktionstechnologie
rawdata: false
contributor: Voß, Viola
contributor: Robrecht, Michèle
contributor: Frick, Claudia
creator: Robrecht, Michèle
date: 2022-09-23T12:44:17Z
language: de
abstract: Im Rahmen einer Masterarbeit zum Thema »Positionsbestimmung wissenschaftlicher Bibliotheken in der externen Wissenschaftskommunikation am Beispiel des Fraunhofer-Fachinformationsmanagements« wurde eine Online-Befragung durchgeführt. Sie richtete sich an Fraunhofer-Fachinformationsmanager:innen und Mitarbeitende der Kommunikationsabteilungen, um ihre Aktivitäten in und Einstellungen zur externen Wissenschaftskommunikation zu erheben. Nähere Informationen zur Durchführung und Auswertung können der im Datenbankeintrag verlinken Masterarbeit entnommen werden. @de
abstract: An online survey was conducted as part of a master's thesis on "Positioning of scientific libraries in external science communication using the example of Fraunhofer's scientific information management". It was directed at Fraunhofer library and information services and employees of the communication departments in order to ascertain their activities in and attitudes toward science communication. Further information on the survey can be found in the master's thesis linked in the database entry.
available: 2022-09-23T12:44:17Z
has part: Codebuch.pdf
has part: Bereinigte Daten anonymisiert numerisch.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
is referenced by: 10.24406/publica-303
issued: 2022-09-12
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/212
uri: https://fordatis.fraunhofer.de/handle/fordatis/283
sparql endpoint: sparql

In-Situ Stress Orientation Data from the Greater Ruhr Region (Germany) Derived from Hydrofracturing Tests and Borehole Logs
has bitstream: Stress orientations Kruszewski.pdf
has bitstream: Stress orientations Kruszewski.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
funding programme: Forschung in Fachhochschulen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Heidbach, Oliver
contributor: Kruszewski, Michal
contributor: Klee, Gerd
contributor: Niederhuber, Thomas
contributor: Saenger, Erik H.
contributor: Reinsch, Thomas
creator: Heidbach, Oliver
creator: Kruszewski, Michal
creator: Klee, Gerd
creator: Niederhuber, Thomas
date: 2022-06-07T15:35:56Z
language: en
abstract: This compilation presents in-situ stress orientations derived from hydrofracturing tests and borehole logs carried out in six, now abandoned, coal mines within the greater Ruhr region in western Germany. All stress information was analysed and compiled in a standardized format and quality-ranked, using the established quality ranking schemes of the World Stress Map (WSM) project, for reliability and comparability. The compilation displays A-C quality of in-situ stress orientation data records. The database presents unique and high-quality stress input data for future reservoir and geomechanical numerical models and should aid the subsurface operations in the region. More detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at http://www.world-stress-map.org.
available: 2022-06-07T15:35:56Z
has part: Stress orientations Kruszewski.pdf
has part: Stress orientations Kruszewski.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2022-06-03
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/200
uri: https://fordatis.fraunhofer.de/handle/fordatis/271
sparql endpoint: sparql

Numerical simulations and infrared camera measurements of temperature distributions in laser powder bed fusion of polymers
has bitstream: Polymer LPBF Temperature Data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile - MATERIALS
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
funding programme: SPP 2122 - Materials for Additive Manufacturing
projectid: LA 4328/1-1
projectid: BI 1859/2-1
projectname: Numerical and experimental investigations of dimensionless material parameters in laser additive manufacturing of polymers for accelerated material development and process optimization
contributor: Bierwisch, Claas
contributor: Grünewald, Moritz
contributor: Lang, Marieluise
contributor: Dietemann, Bastien
contributor: Rudloff, Johannes
contributor: Mohseni-Mofidi, Seyyid Shoya
contributor: Deutsche Forschungsgemeinschaft DFG
creator: Bierwisch, Claas
creator: Grünewald, Moritz
creator: Lang, Marieluise
creator: Dietemann, Bastien
creator: Rudloff, Johannes
creator: Mohseni-Mofidi, Seyyid Shoya
date: 2020-11-20T07:02:36Z
language: en
abstract: Smoothed particle hydrodynamics simulations in two dimensions are used to calculate the transient melt pool temperature distribution in the laser powder bed fusion process of polymers. The effects of laser power, scan speed, hatch distance, absorptance, emissivity, density, heat capacity, heat transfer, latent heat, thermal conductivity, melting and re-solidification, viscosity and surface tension are considered in the model. A wide range of these laser parameters and material properties is investigated. Complementary to the simulation results, infrared camera measurements of the transient surface temperature are provided.
available: 2020-11-20T07:02:36Z
has part: Polymer LPBF Temperature Data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2020
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/112
uri: https://fordatis.fraunhofer.de/handle/fordatis/186
sparql endpoint: sparql

CROWDSS: A crowdsourced, ecologically-valid dialogue dataset for German
has bitstream: CROWDSS.json
has bitstream: Annotation guidelines.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
funding programme: Innovationswettbewerb "Künstliche Intelligenz als Treiber für volkswirtschaftlich relevante Ökosysteme"
projectacronym: SPEAKER
projectid: FKZ 01MK20011A
projectname: SPEAKER - Aufbau einer führenden Sprachassistenzplattform ”Made in Germany”
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Zarcone, Alessandra
contributor: Frommherz, Yannick
creator: Zarcone, Alessandra
creator: Frommherz, Yannick
date: 2021-06-10T14:26:22Z
language: de
abstract: The CROWDSS dataset (Crowdsourced Wizard of Oz Dialogue dataset based on Situated Scenarios) contains 113 German dialogues collected in a Wizard-of-Oz fashion (i.e., simulating human-machine interaction). To refer to CROWDSS in any publication, please cite the following paper: Frommherz, Y. and Zarcone, A. (2021). Crowdsourcing ecologically-valid dialogue data for German. In Frontiers in Computer Science, Vol 3, doi: 10.3389/fcomp.2021.686050
available: 2021-06-10T14:26:22Z
has part: CROWDSS.json
has part: Annotation guidelines.pdf
is part of: 10.3389/fcomp.2021.686050
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2021-06
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/124
uri: https://fordatis.fraunhofer.de/handle/fordatis/198
sparql endpoint: sparql

On-board monitoring of SO2 ship emissions using resonant photoacoustic gas detection in the UV range
has bitstream: 180824 035623 PIM 9412531 00000046.xml
has bitstream: 180823 225616 PIM 9412531 00000041.xml
has bitstream: 180824 025622 PIM 9412531 00000045.xml
has bitstream: 180823 215615 PIM 9412531 00000040.xml
has bitstream: 180823 195613 PIM 9412531 00000038.xml
has bitstream: 180823 183459 PIM 9412531 00000036.xml
has bitstream: 180823 185612 PIM 9412531 00000037.xml
has bitstream: hfp masum neu.py
has bitstream: 180824 015620 PIM 9412531 00000044.xml
has bitstream: 180823 173459 PIM 9412531.xsd
has bitstream: MASUM SO2Sensor 0bis50ppmSO2 1ppmSteps.txt
has bitstream: 180823 235617 PIM 9412531 00000042.xml
has bitstream: 180824 005619 PIM 9412531 00000043.xml
has bitstream: 180823 205614 PIM 9412531 00000039.xml
has bitstream: 180823 173459 PIM 9412531 00000035.xml
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: true
funding programme: Eurostars
projectacronym: MASUM
projectid: E!9727 MASUM
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: European Commission EC
contributor: El-Safoury, Mahmoud
contributor: Weber, Christian
contributor: Pernau, Hans-Fridtjof
contributor: Wöllenstein, Jürgen
contributor: Dufner, Miguel
contributor: Schmitt, Katrin
contributor: Willing, Bert
creator: El-Safoury, Mahmoud
creator: Weber, Christian
creator: Pernau, Hans-Fridtjof
creator: Dufner, Miguel
date: 2021-05-17T07:25:02Z
language: other
abstract: The data includes SO2 measurements, which were carried out under laboratory conditions. Furthermore, the data includes the measured values on a container ship field test. In addition, the python script, which was used to analyse the gathered data, can be found.
alternative: Supplementary data
available: 2021-05-17T07:25:02Z
has part: 180824 035623 PIM 9412531 00000046.xml
has part: 180823 225616 PIM 9412531 00000041.xml
has part: 180824 025622 PIM 9412531 00000045.xml
has part: 180823 215615 PIM 9412531 00000040.xml
has part: 180823 195613 PIM 9412531 00000038.xml
has part: 180823 183459 PIM 9412531 00000036.xml
has part: 180823 185612 PIM 9412531 00000037.xml
has part: hfp masum neu.py
has part: 180824 015620 PIM 9412531 00000044.xml
has part: 180823 173459 PIM 9412531.xsd
has part: MASUM SO2Sensor 0bis50ppmSO2 1ppmSteps.txt
has part: 180823 235617 PIM 9412531 00000042.xml
has part: 180824 005619 PIM 9412531 00000043.xml
has part: 180823 205614 PIM 9412531 00000039.xml
has part: 180823 173459 PIM 9412531 00000035.xml
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2021
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/129
uri: https://fordatis.fraunhofer.de/handle/fordatis/203
sparql endpoint: sparql

Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters
has bitstream: 20230225 Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters (002).xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-02
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
projectacronym: HYPAT
projectname: H2-Potenzialatlas
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Holst, Marius
contributor: Wietschel, Martin
contributor: Weise, Friedrich
contributor: Voglstätte, Christopher
contributor: Abdel-Khalek, Hazem
contributor: Kleinschmitt, Christoph
contributor: Pieton, Natalia
contributor: Franke, Katja
contributor: Graf, Marieke Emilie Anna
contributor: Sinha, Mohammad
contributor: Drechsler, Björn
contributor: Müller, Viktor Paul
contributor: Lenivova, Veronika
contributor: Fragoso García, Joshua
contributor: Nolden, Christoph
contributor: Bergup, Emily Felicitas
creator: Holst, Marius
creator: Wietschel, Martin
creator: Weise, Friedrich
creator: Voglstätte, Christopher
creator: Abdel-Khalek, Hazem
creator: Kleinschmitt, Christoph
creator: Pieton, Natalia
creator: Franke, Katja
creator: Graf, Marieke Emilie Anna
creator: Sinha, Mohammad
creator: Drechsler, Björn
creator: Müller, Viktor Paul
creator: Lenivova, Veronika
creator: Fragoso García, Joshua
creator: Nolden, Christoph
creator: Bergup, Emily Felicitas
date: 2023-06-19T12:33:50Z
language: en
abstract: This working paper describes the quantitative and model-based methodology used in HYPAT to assess hydrogen and Power-to-X (PtX) export potentials in the countries Morocco, Ukraine, Namibia, Turkey, United Arab Emirates, Kenya, Chile, Canada, Brazil, and New Zealand. The results of the techno-economic assessment are further used as a basis for a global hydrogen and PtX atlas, and as an indication of the price development of hydrogen and PtX.
available: 2023-06-19T12:33:50Z
has part: 20230225 Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters (002).xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/261
uri: https://fordatis.fraunhofer.de/handle/fordatis/324
sparql endpoint: sparql

PV data of SmartFactoryOWL over one week (25.11.2024 to 01.12.2024)
has bitstream: Erzeugte AC-Leistung-data-2024-12-05 13 01 59.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: IUK-Technologie
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: true
funding programme: KI-Leuchttürme für Umwelt, Klima, Natur und Ressourcen
projectacronym: Smart-E-Factory
projectname: Energetisch Smarte Fabrik für die ressourcenschonende Produktion
contributor: Arbesun Perez, Nissrin
contributor: Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz BMUV (Deutschland)
contributor: Zelba, Franziska
creator: Arbesun Perez, Nissrin
creator: Zelba, Franziska
date: 2025-02-18T15:30:26Z
language: en
abstract: The data set contains the power generated by a PV system over one week. The PV system has a total output of 55kWp and is located on the roof of the SmartFactoryOWL in Lemgo. The data was recorded with an interval of 5 minutes.
available: 2025-02-18T15:30:26Z
has part: Erzeugte AC-Leistung-data-2024-12-05 13 01 59.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2025-03-01
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/387
uri: https://fordatis.fraunhofer.de/handle/fordatis/433
sparql endpoint: sparql

Energieverbrauchskurven von 499 Kunden aus Spanien
has bitstream: 20201015 consumption.xlsx
has bitstream: 20201015 weather.xlsx
has bitstream: 20201015 profiles.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
group: Energietechnologien und Klimaschutz
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: true
funding programme: Eurostars-2 Horizon 2020
research framework programm: Eurostars Horizon 2020
projectacronym: ESB
projectid: E!113348
projectname: Energy Saving by Blockchain
contributor: Enge-Rosenblatt, Olaf
contributor: Schneider, André
contributor: Mey, Oliver
contributor: Yesnier, Bravo
contributor: Stenzel, Pit
contributor: Bundesministerium für Verkehr und digitale Infrastruktur BMVI (Deutschland)
creator: Enge-Rosenblatt, Olaf
creator: Schneider, André
creator: Mey, Oliver
creator: Yesnier, Bravo
creator: Stenzel, Pit
date: 2021-08-06T11:42:36Z
language: en
abstract: Predictions of energy consumption are crucial for energy retailers to minimize deviations from energy acquired in the day-ahead market and the actual consumption of their customers. The increasing spread of smartmeters means that retailers have access to hourly consumption values of all their contracted customers in realtime. Using machine learning algorithms, these hourly values can be used to calculate predictions for the future energy consumption of the customers. The present data set allows the training and validation of AI-based prediction models.
available: 2021-08-06T11:42:36Z
has part: 20201015 consumption.xlsx
has part: 20201015 weather.xlsx
has part: 20201015 profiles.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2021
rights: https://creativecommons.org/licenses/by/4.0/
title: Energy Consumption Curves of 499 Customers from Spain
doi: doi:10.24406/fordatis/142
uri: https://fordatis.fraunhofer.de/handle/fordatis/215
sparql endpoint: sparql

Effects of the GDPR in South East Asia vs. Europe - A Large-scale Analysis of IoT Devices
has bitstream: Online Appendix.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Ebbers, Frank
creator: Ebbers, Frank
date: 2023-07-11T13:48:40Z
language: en
abstract: Tabular Data for a Conference Paper.
available: 2023-07-11T13:48:40Z
has part: Online Appendix.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/275
uri: https://fordatis.fraunhofer.de/handle/fordatis/336
sparql endpoint: sparql

MillingVibes: 3-Axial Vibration Data of a Milling Process Performed by a Tooling Machine
has bitstream: MillingVibes Dataset.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: true
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Widra, Matthias
contributor: Langer, Tim Hauke
contributor: Beyer, Volkhard
creator: Widra, Matthias
creator: Langer, Tim Hauke
date: 2022-12-08T11:31:44Z
language: en
abstract: This dataset contains 3-axial vibration data of an aluminium milling process recorded at a large industrial tooling machine (MAHO MH 800C). The data has been recorded by an enDAQ S5-E25D40 vibration sensor module. Each datapoint consists of 8000 samples (duration: 1 second) for 3-axial vibration data along x, y & z axis of the tooling machine. Each datapoint represents a segment of a 1-axial milling movement (+/-x, +/-y). The data is to be used for the investigation of process quality monitoring, therefore each signal segment has been assigned a label "1" (good) or "0" (bad). The label was given to all movements of a (partial) pattern by a domain expert, depending on the surface quality of the workpiece after milling.
alternative: Milling of Aluminium at a MAHO MH 800C Tooling Machine
available: 2022-12-08T11:31:44Z
has part: MillingVibes Dataset.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2022-12-16
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/236
uri: https://fordatis.fraunhofer.de/handle/fordatis/300
sparql endpoint: sparql

Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars
has bitstream: 2025-10-07 Statistics.pkl
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
group: Energietechnologien und Klimaschutz
institute: IWES Fraunhofer-Institut für Windenergiesysteme
rawdata: false
contributor: Gottschall, Julia
contributor: Watson, Warren
contributor: Wolken-Möhlmann, Gerrit
creator: Gottschall, Julia
creator: Watson, Warren
creator: Wolken-Möhlmann, Gerrit
date: 2025-10-22T11:40:11Z
language: en
abstract: These datasets accompany the WES preprint: Watson, Wolken-Möhlmann & Gottschall (2025), Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars (DOI: 10.5194/wes-2025-45). They cover the FINO3 campaign (German North Sea; 10-min aggregation; wind sector 220°–300°) and compare raw vs motion-compensated TI from a floating ZX300M (cw) and a floating Windcube V2.1 (pulsed) together with a fixed ZX300M reference at 101 m, against Met Mast Cup TI from 101 m.
abstract: File 2 - 10-minute time series data Title: TI time series at 101 m (raw vs motion-compensated) with fixed lidar reference What’s inside: Underlying 10-min TI used for File 1. Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M. Columns: WLBZ6_Raw_TI_101_m, WLBZ6_Compensated_TI_101_m, WLBW4_Raw_TI_101_m, WLBW4_Compensated_TI_101_m, FINO3_Fixed_Lidar_TI_101_m. Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt. Access: Repository record and metadata are public and citable. Files are temporarily restricted due to ongoing commercial use in a third-party Stage-3 maturity certification. Non-commercial research access may be granted on request under a mutual Data Use Agreement (DUA). Terms will be reviewed after certification completion and, if certification is not granted, annually thereafter. How to request: Email the corresponding author (warren.watson@iwes.fraunhofer.de) with institution, non-commercial purpose, intended analyses/outputs, and requested period.
abstract: File 1 — Binned statistics (public) Title: Binned TI statistics at 101 m (raw vs motion-compensated) with fixed lidar reference What’s inside: Wind-speed–binned (0.5 m s⁻¹) TI metrics from the analysis period 2024-04-06 to 2024-07-09: mean, min, max, std, Q90, count, MBE/RMBE, RMSE/RRMSE, representative TI error. Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M. Columns: WLBZ6_Raw, WLBZ6_Compensated_TI, WLBW4_Raw, WLBW4_Compensated_TI, FINO3_Fixed_Lidar. Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt.
alternative: Dataset
available: 2025-10-22T11:40:11Z
has part: 2025-10-07 Statistics.pkl
is part of: 10.5194/wes-2025-45
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
issued: 2025-04-03
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/413
uri: https://fordatis.fraunhofer.de/handle/fordatis/457
sparql endpoint: sparql

Microstructural damage dataset (pytorch geometric dataset)
has bitstream: dataset.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
contributor: Eberl, Chris
contributor: Durmaz, Ali Riza
contributor: Alam, Mehwish
contributor: Thomas, Akhil
contributor: Robert Bosch Stiftung
contributor: Sack, Harald
creator: Durmaz, Ali Riza
creator: Thomas, Akhil
date: 2023-02-13T09:06:46Z
language: en
abstract: This data set contains information about microstructure-sensitive damage in ferritic steel (EN 1.4003) specimens. We provide both graph and tabular data sets. In the graph data set, each node is a grain in the material, and each edge connects adjacent grains. Annotation is provided to each of the grains mentioning if it developed damage (protrusion in this case) during a fatigue test. The annotation is provided based on fatigue tests performed on the specimen.
available: 2023-02-13T09:06:46Z
has part: dataset.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2023-01-04
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/248
uri: https://fordatis.fraunhofer.de/handle/fordatis/312
sparql endpoint: sparql

Start and end poses for energy modeling of a collaborative robot
has bitstream: coordinates eneffnet.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
research framework programm: Energieforschungsprogramm
projectacronym: EnEffNet
projectid: 03EN4023B
projectname: Digitale Vernetzungsplattform für Energie- und Ressourceneffizienz zum optimierten Anlagenbetrieb
contributor: Thiele, Gregor
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Haninger, Kevin
contributor: Lokstein, Lisa
contributor: Petrichenko, Valentyn
creator: Thiele, Gregor
creator: Haninger, Kevin
creator: Lokstein, Lisa
creator: Petrichenko, Valentyn
date: 2025-06-16T07:42:04Z
language: en
abstract: The data set contains the coordinates of start and end points of a point-to-point trajectory of a collaborative robot.
available: 2025-06-16T07:42:04Z
has part: coordinates eneffnet.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2025
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/400
uri: https://fordatis.fraunhofer.de/handle/fordatis/445
sparql endpoint: sparql

JERRI Goal Setting Documentation TNO
has bitstream: JERRI Goal Setting Documentation TNO.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Röß, Andreas
contributor: Nauta, Joram
creator: Röß, Andreas
creator: Nauta, Joram
date: 2019-10-23T14:25:42Z
language: en
abstract: This data set contains the reports from the goal setting process of TNO within the EU project JERRI. The reports outline for every key dimension of RRI (Responsible Research and Innovation) which goals TNO want to achieve in the long run and which concrete measures are being taken to achieve these goals.
available: 2019-10-23T14:25:42Z
has part: JERRI Goal Setting Documentation TNO.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/35
uri: https://fordatis.fraunhofer.de/handle/fordatis/119
sparql endpoint: sparql

ILIS - Iteratively Labeled Instance Segmentation
has bitstream: ILIS-synth-V1.tar.gz
has bitstream: ILIS-real-V1.tar.gz
has bitstream: COCO-format-V1.tar.gz
has bitstream: ILIS-synth-iter-V1.tar.gz
has bitstream: Readme.md
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
group: Produktion
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
rawdata: false
projectname: AI Innovation Center "Learning Systems and Cognitive Robotics"
contributor: Jordan, Florian
contributor: Eitel Lindermayr, Jochen
contributor: Bormann, Richard
contributor: Huber, Marco F.
creator: Jordan, Florian
date: 2025-10-15T11:26:53Z
language: en
abstract: This dataset provides real and synthetic images with instance annotations for each objects. The images per scene are created in an iterative context, for the real images and a part of the synthetic images the individual iteration images are provided.
available: 2025-10-15T11:26:53Z
has part: ILIS-synth-V1.tar.gz
has part: ILIS-real-V1.tar.gz
has part: COCO-format-V1.tar.gz
has part: ILIS-synth-iter-V1.tar.gz
has part: Readme.md
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2025-10
modified: 2025-09-29T15:09:19Z
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/414
uri: https://fordatis.fraunhofer.de/handle/fordatis/458
sparql endpoint: sparql

Experimental characterisation of piezoelectric silicon micropump for drug delivery applications
has bitstream: VC6762.zip
has bitstream: 2021-06-09 Veröffentlichung Daten Neu.xlsx
has bitstream: Veröffentlichung Daten.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
contributor: European Commission EC
contributor: Bußmann, Agnes
contributor: Zhou, Doris
contributor: Hubbuch, Jürgen
contributor: Richter, Martin
contributor: Congar, Yücel
contributor: Wackerle, Martin
contributor: Leistner, Henry
creator: Bußmann, Agnes
creator: Zhou, Doris
creator: Hubbuch, Jürgen
creator: Richter, Martin
creator: Congar, Yücel
creator: Wackerle, Martin
creator: Leistner, Henry
date: 2021-08-06T12:15:12Z
language: en
abstract: Subcutaneous injection of medication is crucial for the treatment of many diseases. Especially if regular or continuous injections are beneficial, automated dosing units are advantageous. How-ever, existing devices are still large and therefore uncomfortable, visible under clothing, or inter-fere with physical activity. Thus, the development of small, energy efficient and reliable patch pumps or implantable systems is necessary and research on microelectromechanical system (MEMS) based drug delivery devices gained increasing interest. However, the requirements of medical application are not yet fully met and especially dosing precision and reliability pose a challenge for MEMS pumps. To enable further miniaturization, we propose a precise 5x5 mm² sil-icon micropump. Detailed experimental evaluation of ten pumps proves a backpressure capability with air of 12.5 ± 0.8 kPa, which indicates the ability to transport bubbles at moderate backpres-sures. The maximal water flow rate is 74 ± 6 µl/min and the pumps’ average blocking pressure is 51 kPa. The evaluation of the dosing precision for bolus deliveries with water and insulin shows a high repeatability of dosed package volumes. The pumps show a mean standard deviation of only 0.02 mg for 0.5 mg packages and therefore stay below the generally accepted 5% deviation, even for this extremely small amount. This high precision enables the combination with higher concen-trated medication and is the foundation for the development of an extremely miniaturized patch pump.
available: 2021-08-06T12:15:12Z
has part: VC6762.zip
has part: 2021-06-09 Veröffentlichung Daten Neu.xlsx
has part: Veröffentlichung Daten.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2021-07-30
rights: https://creativecommons.org/licenses/by/4.0/
title: Experimentelle Charakterisierung piezoelektrischer Mikromembranpumpen für Medikamentendosierung
doi: doi:10.24406/fordatis/143
uri: https://fordatis.fraunhofer.de/handle/fordatis/216
sparql endpoint: sparql

Particle transport with piezoelectric micro diaphragm pumps
has bitstream: particle resitance 1µm.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
contributor: Bußmann, Agnes
creator: Bußmann, Agnes
date: 2021-11-04T07:17:05Z
language: en
abstract: Experimental data of particle transport
available: 2021-11-04T07:17:05Z
has part: particle resitance 1µm.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2021-10-30
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/155
uri: https://fordatis.fraunhofer.de/handle/fordatis/228
sparql endpoint: sparql

Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
has bitstream: hydrothermal 65.gpkg
has bitstream: biomass nuts2.gpkg
has bitstream: wte.gpkg
has bitstream: Results DH Matching Cluster.xlsx
has bitstream: petrothermal 85.gpkg
has bitstream: rivers lakes.gpkg
has bitstream: hydrothermal 85.gpkg
has bitstream: petrothermal 65.gpkg
has bitstream: industrial eh.gpkg
has bitstream: dh areas.gpkg
has bitstream: wwtp.gpkg
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
contributor: Kranzl, Lukas
contributor: Billerbeck, Anna
contributor: Fallahnejad, Mostafa
contributor: Kök, Ali
contributor: Braungardt, Sibylle
creator: Manz, Pia
creator: Billerbeck, Anna
creator: Fallahnejad, Mostafa
date: 2024-02-19T14:03:19Z
language: en
abstract: Supplementary datasets to the journal paper in excel format for results and GIS-datasets in vector format for datasets
available: 2023-07-26T09:34:40Z
available: 2023-09-21T13:12:05Z
available: 2024-02-19T14:03:19Z
has part: hydrothermal 65.gpkg
has part: biomass nuts2.gpkg
has part: wte.gpkg
has part: Results DH Matching Cluster.xlsx
has part: petrothermal 85.gpkg
has part: rivers lakes.gpkg
has part: hydrothermal 85.gpkg
has part: petrothermal 65.gpkg
has part: industrial eh.gpkg
has part: dh areas.gpkg
has part: wwtp.gpkg
is part of: journal paper publication: Manz, P.; Billerbeck, A.; Kök, A.; Fallahnejad, M.; Fleiter, T.; Kranzl, L.; Braungardt, S.; Eichhammer, W.: Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe, Renewable Energy, 10.1016/j.renene.2024.120111
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-07-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/280.3
uri: https://fordatis.fraunhofer.de/handle/fordatis/341.3
sparql endpoint: sparql

Vibrationsmessungen an einer rotierenden Welle bei verschiedenen Unwuchtstärken
has bitstream: fraunhofer eas dataset for unbalance detection v1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen : Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: false
contributor: Enge-Rosenblatt, Olaf
contributor: Schneider, André
contributor: Neudeck, Willi
contributor: Mey, Oliver
creator: Enge-Rosenblatt, Olaf
creator: Schneider, André
creator: Neudeck, Willi
creator: Mey, Oliver
date: 2020-03-31T06:16:05Z
language: en
abstract: This dataset contains vibration data recorded on a rotating drive train. This drive train consists of an electronically commutated DC motor and a shaft driven by it, which passes through a roller bearing. With the help of a 3D-printed holder, unbalances with different weights and different radii were attached to the shaft. Besides the strength of the unbalances, the rotation speed of the motor was also varied. This dataset can be used to develop and test algorithms for the automatic detection of unbalances on drive trains. Datasets for 4 differently sized unbalances and for the unbalance-free case were recorded. The vibration data was recorded at a sampling rate of 4096 values per second. Datasets for development (ID "D[0-4]") as well as for evaluation (ID "E[0-4]") are available for each unbalance strength. The rotation speed was varied between approx. 630 and 2330 RPM in the development datasets and between approx. 1060 and 1900 RPM in the evaluation datasets. For each measurement of the development dataset there are approx. 107min of continuous measurement data available, for each measurement of the evaluation dataset 28min. Overview of the dataset components: ID Radius [mm] Mass [g] 0D/ 0E - - 1D/ 1E 14 3.281 2D/ 2E 18.5 3.281 3D/ 3E 23 3.281 4D/ 4E 23 6.614
available: 2020-03-31T06:16:05Z
created: 2020-03-25
has part: fraunhofer eas dataset for unbalance detection v1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2020-03-25
rights: https://creativecommons.org/licenses/by/4.0/
title: Vibration measurements on a rotating shaft at different unbalance strengths
doi: doi:10.24406/fordatis/65
uri: https://fordatis.fraunhofer.de/handle/fordatis/151
sparql endpoint: sparql

In-Situ Stress Magnitude Data from the Greater Ruhr Region (Germany) Derived from Hydrofracturing Tests and Borehole Logs
has bitstream: Stress magnitudes Kruszewski.pdf
has bitstream: Stress magnitudes Kruszewski.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
funding programme: Forschung an Fachhochschulen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Heidbach, Oliver
contributor: Kruszewski, Michal
contributor: Klee, Gerd
contributor: Niederhuber, Thomas
contributor: Saenger, Erik H.
contributor: Reinsch, Thomas
creator: Heidbach, Oliver
creator: Kruszewski, Michal
creator: Klee, Gerd
creator: Niederhuber, Thomas
date: 2022-06-07T14:37:20Z
language: en
abstract: This compilation presents in-situ stress magnitudes derived from hydrofracturing tests and borehole logs carried out in six, now abandoned, coal mines and two coal bed methane boreholes at depths between 600 and 1950 m within the greater Ruhr region in western Germany. All stress information was analysed and compiled in a standardized format and quality-ranked, using the established quality ranking schemes of the World Stress Map (WSM) project, for reliability and comparability. The compilation displays A-C quality of in-situ stress orientation data records. The database presented here is the world's largest public database of stress magnitudes from a single region and presents unique and high-quality stress input data for future reservoir and geomechanical numerical models and should aid the subsurface operations in the region. This dataset supplements the Stress Magnitude Database of Germany (https://doi.org/10.5880/wsm.2020.004) with additional 429 data records, doubling the amount of available stress data records for Germany from 568 to 997. More detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at http://www.world-stress-map.org.
available: 2022-06-07T14:37:20Z
has part: Stress magnitudes Kruszewski.pdf
has part: Stress magnitudes Kruszewski.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2022-06-03
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/201
uri: https://fordatis.fraunhofer.de/handle/fordatis/272
sparql endpoint: sparql

Evaluation of a local heating network supplied by a pyrolysis plant
has bitstream: heat load profile total heating period.xlsx
has bitstream: electricity load profile total.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
contributor: Nienborg, Björn
contributor: Schölles, Michael
contributor: Bier, Harald
creator: Nienborg, Björn
creator: Schölles, Michael
creator: Bier, Harald
date: 2024-03-14T10:26:42Z
language: de
abstract: Der Datensatz umfasst sämtliche zugrundeliegende Daten für die Berechnungen. @de
available: 2024-03-14T10:26:42Z
has part: heat load profile total heating period.xlsx
has part: electricity load profile total.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/325
uri: https://fordatis.fraunhofer.de/handle/fordatis/381
sparql endpoint: sparql

TeaM Cables - European Tools and Methodologies for an efficient ageing management of nuclear power plant Cables
has bitstream: xxxx.feather
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
group: Werkstoffe, Bauteile
institute: IZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren
rawdata: true
funding programme: Euratom
research framework programm: Horizon 2020
projectacronym: TeaM Cables
projectid: 755183
projectname: TeaM Cables - European Tools and Methodologies for an efficient ageing management of nuclear power plant Cables
contributor: European Commission EC
contributor: Keller, Andreas
contributor: Stumm, Christopher
creator: Keller, Andreas
creator: Stumm, Christopher
date: 2022-10-04T11:30:53Z
language: en
abstract: Teraherz measurements performed on xlpe specimens.
available: 2022-10-04T11:30:53Z
has part: xxxx.feather
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
issued: 2017-09
rights: apache-2.0
doi: doi:10.24406/fordatis/213
uri: https://fordatis.fraunhofer.de/handle/fordatis/284
sparql endpoint: sparql

Genomic and chemical decryption of the Bacteroidetes phylum for its potential to biosynthesize natural products
has bitstream: NMR raw data.zip
has bitstream: MS-mzML Chitinophaga 10000 SN0.zip
has bitstream: MSMS-Bruker Chitinophaga-networking.zip
has bitstream: MSMS-mgf Chitinophaga-networking.zip
has bitstream: MS-Bruker Chitinophaga 10000 SN0.zip
has bitstream: MS-Methods.zip
has bitstream: MetaData-MS and MSMS-Files.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/57
group: Ressourcentechnologien und Bioökonomie
institute: IME-BR Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie - Institutsteil Bioressourcen des Fraunhofer IME
rawdata: false
contributor: Leis, Benedikt
contributor: Glaeser, Jens
contributor: Marner, Michael
contributor: Vilcinskas, Andreas
contributor: Schäberle, Till
contributor: Patras, Maria
contributor: Bauer, Armin
contributor: Spohn, Marius
contributor: Brinkmann, Stephan
contributor: Pöverlein, Christoph
contributor: Billion, André
contributor: Kurz, Michael
contributor: Hammann, Peter
contributor: Hartwig, Christoph
contributor: LOEWE Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz
contributor: Toti, Luigi
contributor: Kleiner, Yolanda
creator: Leis, Benedikt
creator: Glaeser, Jens
creator: Marner, Michael
creator: Vilcinskas, Andreas
creator: Schäberle, Till
creator: Patras, Maria
creator: Bauer, Armin
creator: Spohn, Marius
creator: Brinkmann, Stephan
creator: Pöverlein, Christoph
creator: Billion, André
creator: Kurz, Michael
creator: Hammann, Peter
creator: Hartwig, Christoph
creator: Toti, Luigi
creator: Kleiner, Yolanda
date: 2022-03-22T17:27:46Z
language: en
publisher: IME-BR Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie - Institutsteil Bioressourcen des Fraunhofer IME
abstract: MS, MS/MS and NMR data for publication "Genomic and chemical decryption of the Bacteroidetes phylum for its potential to biosynthesize natural products".
available: 2022-03-22T17:27:46Z
has part: NMR raw data.zip
has part: MS-mzML Chitinophaga 10000 SN0.zip
has part: MSMS-Bruker Chitinophaga-networking.zip
has part: MSMS-mgf Chitinophaga-networking.zip
has part: MS-Bruker Chitinophaga 10000 SN0.zip
has part: MS-Methods.zip
has part: MetaData-MS and MSMS-Files.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/57
issued: 2022
modified: 2022-03-14T09:33:23Z
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/188
uri: https://fordatis.fraunhofer.de/handle/fordatis/260
sparql endpoint: sparql

Wireline-Logging- und Videodaten einer 224 m tiefen Erkundungsbohrung in einem Karbonatkarst in Hagen, Nordrhein-Westfalen, Deutschland
has bitstream: Well R1 OBI.pdf
has bitstream: Well R1 Structure-Log.pdf
has bitstream: Well R1 ABI.pdf
has bitstream: Well R1 Structure-Log-Export-TRUE OBI-ABI mapping 04-08-2023.txt
has bitstream: Readme.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
research framework programm: Europäischer Fonds für regionale Entwicklung (EFRE) 2014‐2020 „Investitionen in Wachstum und Beschäftigung“
projectacronym: Kabel Zero
projectid: EFRE‐0801837
projectname: Geothermale Papiertrocknung. Teilvorhaben: Geothermische Erkundung und Erschließungskonzept
contributor: European Commission EC
contributor: Fraunhofer-Gesellschaft FhG
contributor: Jagert, Felix
contributor: Chatziliadou, Maria
contributor: Bussmann, Gregor
contributor: Lehmann, Jonas Enno
contributor: Krämer, Jonas
contributor: Macit, Osman
contributor: Güldenhaupt, Jonas
contributor: Immenhauser, Adrian
creator: Jagert, Felix
creator: Chatziliadou, Maria
creator: Güldenhaupt, Jonas
date: 2025-03-06T09:55:53Z
language: en
abstract: The investigation of karst aquifers is inherently challenging due to their heterogeneous nature. A new borehole, measuring 224 metres in depth, was drilled into the 'Massenkalk' formation in the Steltenberg quarry at Hagen, North Rhine-Westphalia, Germany, with the objective of investigating its potential as a geothermal reservoir analogue (Coordinates of well R1: 401398 / 5690212 UTM 32N). Geophysical logging and camera runs revealed the presence of highly permeable karst structures, which visually displayed vuggy porosity. The permeability of the aquifer seems largely dominated by karst structures, specifically fractures that have been widened by dissolution. Instead of intense fracturing, the rock mass generally appears to be characterised by karstification and secondary porosity. The logging and mapping data were finalised in PDF, TXT and AVI formats as supplementary material of: DOI: 10.1127/zdgg/2025/0450
alternative: Finalised data of: Optical Borehole Imager, Acoustic Borehole Imager, Calliper, Downhole Video
available: 2025-03-06T09:55:53Z
has part: Well R1 OBI.pdf
has part: Well R1 Structure-Log.pdf
has part: Well R1 ABI.pdf
has part: Well R1 Structure-Log-Export-TRUE OBI-ABI mapping 04-08-2023.txt
has part: Readme.pdf
is part of: 10.1127/zdgg/2025/0450
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2024-05
rights: https://creativecommons.org/licenses/by/4.0/
title: Wireline logging and video data of a 224 m deep exploration well in a carbonate karst in Hagen, North Rhine-Westphalia, Germany
doi: doi:10.24406/fordatis/339
uri: https://fordatis.fraunhofer.de/handle/fordatis/393
sparql endpoint: sparql

Representative study of investment decisions in alternative vehicles - Survey and choice experiment
has bitstream: E-Mob Datensatz formatiert fordatis.sav
has bitstream: E-Mob Datensatz fordatis.sav
has bitstream: CBC Ober Nutzenwerte final.xlsx
has bitstream: Fragebogen fordatis.pdf
has bitstream: Questionnaire fordatis EN.pdf
has bitstream: CBC Mittel Nutzenwerte final.xlsx
has bitstream: CBC Kompakt Nutzenwerte final.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: Energiesystemanalyse
research framework programm: 6. Energieforschungsprogramm
projectacronym: Sozio-E2S
projectid: 03ET4041A
projectname: Open source Energiesystemmodellierung – Einfluss von soziokulturellen Faktoren auf Transformationspfade des deutschen Energiesystems
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Killinger, Sven
contributor: Steingrube, Annette
contributor: Baumann, Daniel
contributor: Berneiser, Jessica
contributor: Senkpiel, Charlotte
creator: Berneiser, Jessica
creator: Senkpiel, Charlotte
date: 2020-08-21T10:44:46Z
language: de
abstract: Der Datensatz umfasst Daten einer repräsentativen empirischen Erhebung, bei der das Investitionsverhalten von Privatpersonen in alternative Antriebe bei der Wahl eines Neuwagens untersucht wurde. Es wurde eine Kombination aus Fragebogen und Discrete Choice Experiment (DCE) gewählt. Das DCE wurde mittels Hierarchical Bayes ausgewertet. Die Werte in den DCE Excelblättern sind Nutzenwerte. Neben investitionsrelevanter Faktoren wurden Daten zum Mobilitätsverhalten und zur Unterstützung politischer Maßnahmen erhoben. @de
alternative: Fragebogen und Discrete Choice Experiment
available: 2020-03-12T13:22:58Z
available: 2020-08-21T10:44:46Z
created: 2018-10
has part: E-Mob Datensatz formatiert fordatis.sav
has part: E-Mob Datensatz fordatis.sav
has part: CBC Ober Nutzenwerte final.xlsx
has part: Fragebogen fordatis.pdf
has part: Questionnaire fordatis EN.pdf
has part: CBC Mittel Nutzenwerte final.xlsx
has part: CBC Kompakt Nutzenwerte final.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-03-10
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
title: Repräsentative empirische Erhebung zur Investitionsbereitschaft in alternative Antriebe
doi: doi:10.24406/fordatis/11.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/92.2
sparql endpoint: sparql

Vertrauen in digitale Verwaltung
has bitstream: Umfragedaten.2018 VeDiVw.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: ITI1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT – anwendungsorientierte Begleitforschung
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2021-07-15T06:20:43Z
language: de
abstract: In der Umfrage zu Vertrauen in die Verwaltung geht es um das Vertrauen der Bürger:innen in den Umgang mit Daten innerhalb der Verwaltung und Begründungen für mögliches Misstrauen. Ferner werden Einstellungen der Bürger:innen zu Potentialen der Verwaltungsdigitalisierung und die Nutzung der digitalen Steuererklärung Elster erhoben. Für jede Umfrage werden neben den Datensätze (sowohl mit Werten als auch mit Label) die Fragebögen mit dem Codeschema bereitgestellt. Zusätzlich werden die von GMS verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
available: 2021-07-15T06:20:43Z
has part: Umfragedaten.2018 VeDiVw.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2021-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/125
uri: https://fordatis.fraunhofer.de/handle/fordatis/199
sparql endpoint: sparql

Psychometric and sociodemographic raw data of training evaluation of paramedic trainees with extended reality in classroom setting within project ViTAWiN.
has bitstream: results-survey469381.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
projectacronym: ViTAWiN
projectid: 01PV18006
projectname: Virtuell-augmentiertes Training für die Aus- und Weiterbildung in der interprofessionellen Notfallversorgung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Luiz, Thomas
contributor: Elsenbast, Christian
creator: Elsenbast, Christian
date: 2022-12-15T06:38:38Z
language: en
abstract: The raw data includes socio-demographic information about the participants as well as results of the measurement of situational motivation, usability, virtual reality sickness, and presence.
available: 2022-12-15T06:38:38Z
has part: results-survey469381.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2022-11-14
rights: https://creativecommons.org/licenses/by/4.0/
title: Psychometrische und soziodemografische Rohdaten der Trainingsevaluation von Notfallsanitäter:innen in Ausbildung mit Extended Reality im Classroom-Setting innerhalb des Projekts ViTAWiN
doi: doi:10.24406/fordatis/229
uri: https://fordatis.fraunhofer.de/handle/fordatis/296
sparql endpoint: sparql

Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
has bitstream: petrothermal 85.gpkg
has bitstream: biomass nuts2.gpkg
has bitstream: petrothermal 65.gpkg
has bitstream: rivers lakes.gpkg
has bitstream: hydrothermal 65.gpkg
has bitstream: wte.gpkg
has bitstream: Results DH Matching Cluster.xlsx
has bitstream: industrial eh.gpkg
has bitstream: hydrothermal 85.gpkg
has bitstream: dh areas.gpkg
has bitstream: wwtp.gpkg
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
contributor: Kranzl, Lukas
contributor: Billerbeck, Anna
contributor: Fallahnejad, Mostafa
contributor: Kök, Ali
contributor: Braungardt, Sibylle
creator: Manz, Pia
creator: Billerbeck, Anna
creator: Fallahnejad, Mostafa
date: 2025-01-27T08:41:07Z
language: en
abstract: Supplementary datasets to the journal paper in excel format for results and GIS-datasets in vector format for datasets.
available: 2023-07-26T09:34:40Z
available: 2023-09-21T13:12:05Z
available: 2024-02-19T14:03:19Z
available: 2025-01-23T10:32:53Z
available: 2025-01-27T08:41:07Z
has part: petrothermal 85.gpkg
has part: biomass nuts2.gpkg
has part: petrothermal 65.gpkg
has part: rivers lakes.gpkg
has part: hydrothermal 65.gpkg
has part: wte.gpkg
has part: Results DH Matching Cluster.xlsx
has part: industrial eh.gpkg
has part: hydrothermal 85.gpkg
has part: dh areas.gpkg
has part: wwtp.gpkg
is part of: 10.1016/j.renene.2024.120111
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-07-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/280.5
uri: https://fordatis.fraunhofer.de/handle/fordatis/341.5
sparql endpoint: sparql

Aero-Elastic Simulation Time Series of IWT7.5 Reference Turbine
has bitstream: IWT75 TimeSeries IPC.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
institute: IWES Fraunhofer-Institut für Windenergiesysteme
rawdata: true
funding programme: 6. Energieforschungsprogramm Erneuerbare Energie
projectacronym: HAPT
projectid: 0325918A
projectname: Beschleunigte Dauerprüfung von Blattlagern für Multi-Megawatt-Turbinen
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Stammler, Matthias
contributor: Popko, Wojciech
creator: Popko, Wojciech
date: 2020-12-15T12:18:29Z
language: en
abstract: This set of time series comprises simulation time series of the IWT7.5 reference wind turbine (Revision 2.5) with an IPC controller. The turbine model is available online (first reference), a detailed description of the controller is part of the second reference. The signals of the files are WindSpeed, ElectricalPower, and pitch angles and loads of three blades.
available: 2020-12-15T12:18:29Z
has part: IWT75 TimeSeries IPC.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
is referenced by: https://doi.org/10.1002/we.2428
issued: 2019
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/113
uri: https://fordatis.fraunhofer.de/handle/fordatis/187
sparql endpoint: sparql

Simulation Decision Matrix_Analytical Hierarchy Process_raw data_expert survey
has bitstream: Simulation Decision Matrix Analytical Hierarchy Process raw data expert survey.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
rawdata: true
funding programme: RegioWIN 2030
research framework programm: European Regional Development Fund (ERDF)
projectid: ELR_2452419
projectname: H2BlackForest
contributor: European Commission EC
contributor: Schade, René
creator: Schade, René
date: 2024-10-24T14:50:26Z
language: en
abstract: Raw data of the six decision-makers of the analytical hierarchy process (AHP) expert survey. The expert survey was conducted for prioritising sub-criteria of the Simulation Decision Matrix (SDM). The SDM is primarily used for prioritising quality-critical product parameters of hydrogen technologies for simulation applications in their production process.
available: 2024-10-24T14:50:26Z
has part: Simulation Decision Matrix Analytical Hierarchy Process raw data expert survey.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/373
uri: https://fordatis.fraunhofer.de/handle/fordatis/422
sparql endpoint: sparql

Artificially generated crystallographic textures of steel sheets and their corresponding properties calculated by a Taylor-type crystal plasticity model
has bitstream: test set orientations.npy
has bitstream: test set angular hist 512 3.npy
has bitstream: training set properties.npy
has bitstream: training set angular hist 512 3.npy
has bitstream: training set orientations.npy
has bitstream: README.txt
has bitstream: anomalies angular hist 512 3.npy
has bitstream: test set properties.npy
has bitstream: anomalies orientations.npy
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: 415804944
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Dornheim, Johannes
contributor: Pagenkopf, Jan
contributor: Iraki, Tarek
contributor: Morand, Lukas
contributor: Helm, Dirk
creator: Dornheim, Johannes
creator: Pagenkopf, Jan
creator: Iraki, Tarek
creator: Morand, Lukas
creator: Helm, Dirk
date: 2021-05-19T08:19:05Z
language: en
abstract: This is a collection of sets of artificially generated crystallographic textures of steel sheets, histogram-based representations of them and their corresponding properties. The properties are calculated using a Taylor-type crystal plasticity model.
available: 2021-05-19T08:19:05Z
has part: test set orientations.npy
has part: test set angular hist 512 3.npy
has part: training set properties.npy
has part: training set angular hist 512 3.npy
has part: training set orientations.npy
has part: README.txt
has part: anomalies angular hist 512 3.npy
has part: test set properties.npy
has part: anomalies orientations.npy
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/131
uri: https://fordatis.fraunhofer.de/handle/fordatis/204
sparql endpoint: sparql

Basic Adsorption Heat Exchanger Theory Calculation Scripts
has bitstream: epsNTU Rating Sizing.R
has bitstream: epsNTUsorpPredJoule.R
has bitstream: FR22-014A2k 2019.dat
has bitstream: FR22-014A2k 2018.dat
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
projectacronym: SubSie-Plattform
projectid: 03EN2012A
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Velte-Schäfer, Andreas
creator: Velte-Schäfer, Andreas
date: 2023-06-06T08:27:25Z
language: en
abstract: Scripts for calculating basic adsorption heat exchanger theory equations including examples. Scripts may be used with R 4.3.0 https://cran.r-project.org/bin/windows/base/ in combination with RStudio https://posit.co/products/open-source/rstudio/
available: 2023-06-06T08:27:25Z
has part: epsNTU Rating Sizing.R
has part: epsNTUsorpPredJoule.R
has part: FR22-014A2k 2019.dat
has part: FR22-014A2k 2018.dat
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2023-06
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/262
uri: https://fordatis.fraunhofer.de/handle/fordatis/325
sparql endpoint: sparql

Barrel Pile Instance Segmentation
has bitstream: Barrel-Instance-Segmentation.tar.xz
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: true
funding programme: Innovationen im Einsatz – Praxisleuchttürme der zivilen Sicherheit
research framework programm: Forschung für die zivile Sicherheit
projectacronym: AKIT-PRO
projectid: 13N15673
projectname: AutonomieKIT für die Umrüstung von Arbeitsmaschinen in kooperierende Nutzfahrzeuge zur Unterstützung von Rettungskräften
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Jordan, Florian
contributor: Frese, Christian
contributor: Baum, Winfried
creator: Jordan, Florian
creator: Frese, Christian
creator: Baum, Winfried
date: 2024-07-16T09:14:15Z
language: en
abstract: During accidents involving hazardous chemicals, people in the area may be put at risk of harm. (Semi-)autonomous robots can mitigate this threat by removing leaking containers. However, teleoperation requires extensive training and is difficult in practice. To overcome these limitations, we implemented a perception system on an autonomous excavator that locates individual barrels in chaotic scenes for extraction. Following the human-in-the-loop principle, operators can remotely select which barrel to remove. An efficient U-Net-style, DCAN-flavored neural network is trained using synthetic and collected real-world RGB data (5,000 synthetic and 593 real images) and compared to an inference-heavy Mask R-CNN model. In experiments on a leave-out test set, created from the excavator, our model yielded an ODS mIoU of 85.14% and mAP of 72.19%, while Mask R-CNN achieved an ODS mIoU of 86.6% and mAP of 84.31%. With roughly 0.00584s inference time on 800×576 32-bit tensors, our model is faster than Mask R-CNN with an inference time of roughly 0.0491s. Using the robot calibration data, the point clouds of multiple LiDAR sensors are fused with the RGB segmentation to find local cylinder models for each barrel, delivering the exact poses for extraction using the motion planner to find a collision-free motion plan. Force measurements were included in the gripper to avoid deforming the barrel. Field trials showed that the barrels can be reliably extracted without any damage.
available: 2024-07-16T09:14:15Z
has part: Barrel-Instance-Segmentation.tar.xz
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2024
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/357
uri: https://fordatis.fraunhofer.de/handle/fordatis/410
sparql endpoint: sparql

Instrumented Impact Test Data for CFPA6 Crash Box Systems
has bitstream: CRASH BOX.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/45
institute: IWU Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik
rawdata: false
research framework programm: Horizon Europe
projectacronym: SALIENT
projectid: 101069600
projectname: Novel Concepts for Safer, Lighter, Circular and Smarter Vehicle Structure Design for Enhanced Crashworthiness and Higher Compatibility
contributor: European Commission EC
contributor: Meltke, Robert
contributor: Ventosinos Louzao, Vanessa
contributor: Nossol, Patryk
creator: Meltke, Robert
creator: Ventosinos Louzao, Vanessa
creator: Nossol, Patryk
date: 2025-07-01T09:15:18Z
language: en
abstract: This dataset contains time-resolved measurements from crash tests performed on three crash box systems (specifically numbered 5, 6, and 7). The data includes various physical quantities recorded during the impact events. Each quantity is available for two measurement points and includes both raw and filtered signals. The impactor was instrumented using two KYOWA damped accelerometers. The acceleration data were used to calculate force, displacement, and the energy absorbed during impact. A CFC180 filter was applied to the acceleration signals for data smoothing and noise reduction. The columns in the dataset are as follows: Impactor Acceleration 1 – Raw acceleration data from the first impact sensor. Filtered Impactor Acceleration 1 – Filtered acceleration data (CFC180) from the first sensor. Impactor Acceleration 2 – Raw acceleration data from the second impact sensor. Filtered Impactor Acceleration 2 – Filtered acceleration data (CFC180) from the second sensor. Average Impactor Acceleration – Mean of the filtered acceleration data from both sensors. Velocity – Integrated velocity profile of the impactor. Displacement – Integrated displacement profile of the impactor. Force from Impactor Acceleration 1 – Force calculated using the first acceleration signal and impactor mass. Force from Impactor Acceleration 2 – Force calculated using the second acceleration signal and impactor mass. Average Force – Mean of the forces derived from both sensors. Energy – Energy absorbed by the structure, obtained by integrating the force over displacement. Three types of crashbox samples were tested (see also Fig. 8): Crash box 6: Fully riveted crash box system Crash box 7: Crash box system without rivets Crash box 5: Fully riveted crash box system with an aluminium plate (176 × 78 × 3 mm) welded on the top ring
available: 2025-07-01T09:15:18Z
has part: CRASH BOX.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/45
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/402
uri: https://fordatis.fraunhofer.de/handle/fordatis/446
sparql endpoint: sparql

Unter Druck: Nachahmung von Druckgeschwüren mit in vitro Vollhautmodellen
has bitstream: Figure2 Glucose.csv
has bitstream: FIgure6 RelativeROS.csv
has bitstream: Figure2 Lactate.csv
has bitstream: Figure6 LDH.csv
has bitstream: Figure5 PixelDensitiyofProteinLevels.csv
has bitstream: Figure3 DermalThickness.csv
has bitstream: Figure3 EpidermalThickness.csv
has bitstream: Figure2 LDH.csv
has bitstream: Figure2 RelativeROS.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/16
group: Gesundheit
institute: ISC Fraunhofer-Institut für Silicatforschung
rawdata: false
funding programme: Zentrales Innovationsprogramm Mittelstand (ZIM)
projectid: ZF 4353102NK7
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Kiesewetter, Lisa
contributor: Groeber-Becker, Florian
contributor: Wußmann, Maximiliane
contributor: Bausch, Renate
contributor: Witt, Joana
contributor: Jannasch, Maren
creator: Kiesewetter, Lisa
creator: Groeber-Becker, Florian
creator: Wußmann, Maximiliane
date: 2025-03-06T15:29:28Z
language: en
abstract: Collected research data (measurements) for in vitro full-thickness skin models from three biological donors A, B, C, which were injured with pressure-induced wounds employing a magnet. The data tables list the results of metabolic analyses (glucose, lactate), viability markers (lactate dehydrogenase), as well as reactive oxygen species (ROS) and analysis of protein levels over the various durations of the pressure treatment and subsequent reperfusion phase, which support the figures in the publication.
available: 2025-03-06T15:29:28Z
has part: Figure2 Glucose.csv
has part: FIgure6 RelativeROS.csv
has part: Figure2 Lactate.csv
has part: Figure6 LDH.csv
has part: Figure5 PixelDensitiyofProteinLevels.csv
has part: Figure3 DermalThickness.csv
has part: Figure3 EpidermalThickness.csv
has part: Figure2 LDH.csv
has part: Figure2 RelativeROS.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/16
issued: 2025
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
title: Under pressure: Mimicking bedsores with full-thickness skin equivalents in vitro
doi: doi:10.24406/fordatis/388
uri: https://fordatis.fraunhofer.de/handle/fordatis/434
sparql endpoint: sparql

BioMates - WP1: Novel pyrolysis oil from non-food/feed biomass - Data sheet: Identifiers for samples and blends
has bitstream: DMP 3 FhG AFP4 Identifiers BioMates.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
group: Produktion
institute: UMSICHT Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik
rawdata: false
funding programme: H2020-EU.3.3.3.
funding programme: LCE-08-2016-2017 "Development of next generation biofuel technologies"
research framework programm: Horizon 2020
projectacronym: BioMates
projectid: 727463
projectname: Reliable Bio-based Refinery Intermediates — BioMates
contributor: European Commission EC
contributor: Heil, Volker
contributor: Schulzke, Tim
creator: Heil, Volker
creator: Schulzke, Tim
date: 2021-12-01T08:12:22Z
language: en
abstract: Ablative Fast Pyrolysis (AFP) is the first step in the BioMates-concept to convert herbaceous biomass into co-feed with reliable properties for conventional refineries (www.biomates.eu). The document defines samples and sample blends produced by Fraunhofer UMSICHT via AFP within the H2020-project BioMates.
available: 2021-12-01T08:12:22Z
has part: DMP 3 FhG AFP4 Identifiers BioMates.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
issued: 2021-10-25
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/156
uri: https://fordatis.fraunhofer.de/handle/fordatis/229
sparql endpoint: sparql

DemoTeach - robot programming with MoCap system for foundry applications
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
group: Produktion
institute: IGCV Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik
rawdata: false
projectacronym: PANTOTEA
projectid: 02P24K001
projectname: Pantomimes Roboter-Teaching für den Großguss; Teilprojekt: Entwicklung eines Teaching-Systems mit Bewegungserfassung einschließlich eines Dummy-Werkzeuges für die automatisierte Reinigung von Großgussteilen mittels Roboter
contributor: Volk, Wolfram
contributor: Günther, Daniel
contributor: Bundesministerium für Forschung, Technologie und Raumfahrt -BMFTR-
contributor: Li, Rui
contributor: Klan, Steffen
creator: Li, Rui
date: 2025-10-27T14:41:40Z
language: de
abstract: In der Gießereitechnik bleibt die Nachbearbeitung von Reststrukturen und Graten, insbesondere bei Klein- und Mittelserienproduktion, ein arbeitsintensiver und wissensbasierter Prozess. Hier kommt DemoTeach zum Einsatz, eine neuartige halbautomatische (Human-in-the-Loop) Roboter-Teach-Methode, die mithilfe von Motion-Capture-Demonstrationen (MoCap) die Nachbearbeitung komplexer Gussteile automatisiert. Fachkräfte können ein Dummy-Werkzeug intuitiv entlang der Gussgrate führen, um robotergeeignete Pfade zu erzeugen – ohne Programmierkenntnisse oder aufwendige 3D-Datenverarbeitung. Die Videos zeigen verschiedene Roboter-Teach-Demonstrationen, welche eine intuitive automatisierte Entfernung der Speiser, Grate und Anschnitte in der Klein- und Mittelserie ermöglichen. @de
available: 2025-10-27T14:41:40Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
is referenced by: 10.1007/s00170-025-16618-0
issued: 2025-10-27
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
title: DemoTeach – Programmierung von Robotern mit Motion Capture System für Gießerei-Anwendungen
doi: doi:10.24406/fordatis/415
uri: https://fordatis.fraunhofer.de/handle/fordatis/459
sparql endpoint: sparql

Condition Monitoring of Drive Trains by Data Fusion of Acoustic Emission and Vibration Sensors
has bitstream: fraunhofer iis eas dataset vibrations acoustic emissions of drive train v1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
institute: IZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren
rawdata: true
projectacronym: SKALISENS
projectname: Skalierbare Sensornetzwerke für Condition Monitoring
contributor: Enge-Rosenblatt, Olaf
contributor: Schneider, André
contributor: Mey, Oliver
contributor: Fraunhofer-Gesellschaft FhG
contributor: Schmidt, Christian
contributor: Herrmann, Hans-Georg
contributor: Klein, Samuel
contributor: Mayer, Dirk
creator: Enge-Rosenblatt, Olaf
creator: Schneider, André
creator: Mey, Oliver
creator: Schmidt, Christian
creator: Herrmann, Hans-Georg
creator: Klein, Samuel
creator: Mayer, Dirk
date: 2021-06-08T11:16:26Z
language: en
abstract: Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities. The data analysis can be improved by applying machine learning algorithms and fusion of data from heterogeneous sensors. The paper (see <REFERENCE>) presents an approach for a step-wise integration of classifications gained from vibration and acoustic emission sensors, in order to combine the information from signals acquired in the low and high frequency range. A test rig comprising a drive train and bearings with small artificial damages is used for acquisition of experimental data. The results indicate that an improvement of damage classification can be obtained using the proposed algorithm of combining classifiers for vibrations and acoustic emission. This dataset contains vibration data as well as acoustic emission data recorded on a rotating drive train. For vibration measurements, the setup is instrumented with ICP accelerometers (PCB 607A11, 100 mV/g) at the bearing holder frame of the motor and the bearing holder frame of the shaft. Both vibrational sensors are digitized by a DT 9837A USB-DAQ from (Measurement Computing GmbH). This 4-channel signal analyzer is equipped with a 24-bit ADC, that supports sample rates of up to 100 kSPS and is well suited for the vibration measurements. Acoustic emission signals (AE) are acquired by a piezo transducer (Vallen VS30V, 20 kHz – 80 kHz) connected to an AEP5 pre-amplifier for signal conditioning. These signals are digitized with an USB oscilloscope (PicoScope 2204A). This entry-level 2-channel oscilloscope features an 8-bit ADC with sample rates of up to 100 MSPS with an analog bandwidth of 10 MHz.
alternative: Measurements of Vibrations and Acoustic Emissions on a Rotating Shaft
available: 2021-06-08T11:16:26Z
has part: fraunhofer iis eas dataset vibrations acoustic emissions of drive train v1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
is referenced by: https://github.com/deepinsights-analytica/mdpi-arci2021-paper
issued: 2021-05-31
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/132
uri: https://fordatis.fraunhofer.de/handle/fordatis/205
sparql endpoint: sparql

Natürliches Lüftungsverhalten und Anforderungen an mechanische Lüftungssysteme - eine Studie in der deutschen Bevölkerung
has bitstream: 10936 FhISE-Lüftungsverhalten Fordatis.sav
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
projectacronym: FIHLS
projectid: 03ET1401 A
projectname: Fassadenintegrierte Heizung+Kühlung, Lüftung und Sanitär
contributor: Berneiser, Jessica
contributor: Gölz, Sebastian
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Maier, Diana
contributor: Pflug, Thibault
contributor: Dinkel, Arnulf
contributor: Carbonare, Nicolás
contributor: Auerswald, Sven
creator: Berneiser, Jessica
creator: Maier, Diana
date: 2023-06-27T13:51:15Z
language: de
abstract: Die Energieeffizienz von Lüftungsanlagen wird in der Regel als wichtigstes Kriterium bei den technischen Anforderungen an Lüftungsanlagen beschrieben. Bisherige Studien haben jedoch gezeigt, dass eine Lücke zwischen dem Lüftungsverhalten, das erforderlich ist, um das technische Potenzial mechanischer Lüftungssysteme auszuschöpfen, und dem tatsächlichen Verhalten besteht. In dieser Studie wurden verschiedene Arten des Lüftungsverhaltens, das natürliche Lüftungsverhalten im Allgemeinen und die Anforderungen und Prioritäten von Bewohner:innen an mechanische Lüftungssysteme, mittels einer quantitativen Online-Fragebogenerhebung in der deutschen Bevölkerung (N = 952) untersucht. Darüber hinaus wurden Präferenzen für Interfaces der Bedienelemente und Fernsteuerung erfasst. @de
available: 2023-06-27T13:51:15Z
has part: 10936 FhISE-Lüftungsverhalten Fordatis.sav
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2023-06-06
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
title: Natural ventilation behavior and requirements for mechanical ventilation systems - a study among the German population
doi: doi:10.24406/fordatis/263
uri: https://fordatis.fraunhofer.de/handle/fordatis/326
sparql endpoint: sparql

Forschung und Entwicklung für das Vorhaben „CrowdSensing für Bodensee Online“
has bitstream: lorawan-gps-temp-sensor v4.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: IUK-Technologie
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
projectacronym: BodenseeOnline
projectname: CrowdSensing für Bodensee Online
contributor: Herzog, Reinhard
contributor: Wessels, Lars
creator: Herzog, Reinhard
creator: Wessels, Lars
date: 2021-08-16T06:43:18Z
language: de
language: en
abstract: Für die Entwicklung des “Betriebssystems” der Sensormodule wurde das quelloffene Arduino-Framework eingesetzt, das speziell für die einfache und agile Programmierung von Microcontrollern auf Basis der Programmiersprache C++ entwickelt wurde. Das Framework verfügt aufgrund seiner sehr großen Nutzerbasis vor allem über eine Vielzahl externer Bibliotheken, die zur Ansteuerung verschiedenster Peripheriekomponenten wie beispielweise LoRaWAN-Funkmodulen durch einen Microcontroller benötigt werden. @de
alternative: Realisierung der Sensormodule für die mobile Datenerfassung
available: 2021-08-16T06:43:18Z
has part: lorawan-gps-temp-sensor v4.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2021-08-08
rights: apache-2.0
doi: doi:10.24406/fordatis/144
uri: https://fordatis.fraunhofer.de/handle/fordatis/217
sparql endpoint: sparql

Responses of the European IoT ecosystem to the GDPR
has bitstream: Online Appendix DiD Results.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Ebbers, Frank
contributor: Friedwald, Michael
creator: Ebbers, Frank
creator: Friedwald, Michael
date: 2023-07-20T07:47:51Z
language: en
abstract: Responses of the European IoT ecosystem to the GDPR / Appendix_DiD_Results
available: 2023-07-20T07:47:51Z
has part: Online Appendix DiD Results.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
is referenced by: https://wfiot2023.iot.ieee.org/
issued: 2023
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/277
uri: https://fordatis.fraunhofer.de/handle/fordatis/338
sparql endpoint: sparql

Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
has bitstream: industrial eh.gpkg
has bitstream: biomass nuts2.gpkg
has bitstream: dh areas.gpkg
has bitstream: hydrothermal 85.gpkg
has bitstream: wwtp.gpkg
has bitstream: Results DH Matching Cluster.xlsx
has bitstream: petrothermal 85.gpkg
has bitstream: petrothermal 65.gpkg
has bitstream: rivers lakes.gpkg
has bitstream: hydrothermal 65.gpkg
has bitstream: wte.gpkg
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
contributor: Kranzl, Lukas
contributor: Billerbeck, Anna
contributor: Fallahnejad, Mostafa
contributor: Kök, Ali
contributor: Braungardt, Sibylle
creator: Manz, Pia
creator: Billerbeck, Anna
creator: Fallahnejad, Mostafa
date: 2025-01-23T10:32:53Z
language: en
abstract: Supplementary datasets to the journal paper in excel format for results and GIS-datasets in vector format for datasets.
available: 2023-07-26T09:34:40Z
available: 2023-09-21T13:12:05Z
available: 2024-02-19T14:03:19Z
available: 2025-01-23T10:32:53Z
has part: industrial eh.gpkg
has part: biomass nuts2.gpkg
has part: dh areas.gpkg
has part: hydrothermal 85.gpkg
has part: wwtp.gpkg
has part: Results DH Matching Cluster.xlsx
has part: petrothermal 85.gpkg
has part: petrothermal 65.gpkg
has part: rivers lakes.gpkg
has part: hydrothermal 65.gpkg
has part: wte.gpkg
is part of: 10.1016/j.renene.2024.120111
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-07-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/280.3
uri: https://fordatis.fraunhofer.de/handle/fordatis/341.4
sparql endpoint: sparql

Impact of particle size and morphology of cobalt oxide on thermal response to methane examined by thermal analysis
has bitstream: Figure 4b s-Co3O4, before stability test measurements results DTA.csv
has bitstream: Figure 4b s-Co3O4, after stability test measurements results DTA.csv
has bitstream: Figure 3b measurements results DTA.csv
has bitstream: Figure 4b c-Co3O4, before stability test measurements results DTA.csv
has bitstream: Figure 4b c-Co3O4, after stability test measurements results DTA.csv
has bitstream: Figure 3a measurements results DTA.csv
has bitstream: Figure 4a c-Co3O4 measurements results MS.csv
has bitstream: Figure 4a c-Co3O4 measurements results DTA.csv
has bitstream: Figure 1a measurements results Laser size analyser.csv
has bitstream: Figure 1b measurements results Laser size analyser.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: false
contributor: Fraunhofer-Gesellschaft FhG
contributor: Jägle, Martin
contributor: Yurchenko, Olena
contributor: Engel, Laura
contributor: Bierer, Benedikt
contributor: Pernau, Hans-Fridtjof
contributor: Wöllenstein, Jürgen
creator: Yurchenko, Olena
creator: Engel, Laura
creator: Pernau, Hans-Fridtjof
date: 2021-01-25T09:38:49Z
language: en
abstract: Measurement results of particle size analysis of investigated cobalt oxide catalyst. Differential thermal analysis investigation results of thermal response of catalyst towards methane and respective mass spectroscopy investigation.
alternative: Supplementary data
available: 2021-01-25T09:38:49Z
has part: Figure 4b s-Co3O4, before stability test measurements results DTA.csv
has part: Figure 4b s-Co3O4, after stability test measurements results DTA.csv
has part: Figure 3b measurements results DTA.csv
has part: Figure 4b c-Co3O4, before stability test measurements results DTA.csv
has part: Figure 4b c-Co3O4, after stability test measurements results DTA.csv
has part: Figure 3a measurements results DTA.csv
has part: Figure 4a c-Co3O4 measurements results MS.csv
has part: Figure 4a c-Co3O4 measurements results DTA.csv
has part: Figure 1a measurements results Laser size analyser.csv
has part: Figure 1b measurements results Laser size analyser.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2021-01
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/118
uri: https://fordatis.fraunhofer.de/handle/fordatis/192
sparql endpoint: sparql

remUCPS - rate equation model of upconversion dynamics including photonic structure effects
has bitstream: 201109 remUCPS.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
contributor: Eriksen, Emil Haldrup
contributor: Steinkemper, Heiko
contributor: Fischer, Stefan
contributor: Bläsi, Benedikt
contributor: Hofmann, Clarissa Lea Maja
contributor: Hallermann, Florian
contributor: Fraunhofer-Gesellschaft FhG
contributor: Fröhlich, Benjamin
contributor: Herter, Barbara
contributor: Goldschmidt, Jan Christoph
contributor: Löper, Philipp
contributor: Gutmann, Johannes
creator: Eriksen, Emil Haldrup
creator: Steinkemper, Heiko
creator: Fischer, Stefan
creator: Bläsi, Benedikt
creator: Hofmann, Clarissa Lea Maja
creator: Hallermann, Florian
creator: Fröhlich, Benjamin
creator: Herter, Barbara
creator: Goldschmidt, Jan Christoph
creator: Löper, Philipp
creator: Gutmann, Johannes
date: 2020-11-10T09:29:19Z
language: en
abstract: The remUCPS library provides an object-oriented implementation of a rate equation model, describing the upconversion dynamics in the upconverter Erbium in the host crystal NaYF4. Additonally, the model features the effects of a photonic structure, currently implemented as a Bragg structure, on the upconversion dynamics. The local energy density is calculated via an implementation of the [transfer materix method](https://zenodo.org/record/1344878#.X3GOr3UzZhE). The local density of optical states is calculated using [MIT Photonic Bands](https://doi.org/10.1364/OE.8.000173). The change in upconversion dynamics due to these two photonic effects can be investigated using remUCPS. The remUCPS code has been developed at Fraunhofer Institute for Solar Energy Systems ISE (Germany). All publications that led up to the current version are listed below. The current version of the model is extensively described in [Hofmann, Eriksen et al. 2018] (https://doi.org/10.1364/OE.26.007537), as are the contributions of all prior publications. The code can be used and adapted by anyone wanting to simulate photonic effects on upconversion or also just an upconversion process on its own. Among the most important parameters that can be scanned in the rate equation model are the design wavelength of the Bragg structure, the excitation wavelength, the angle of incidence and the incident irradiance. Have fun playing around! Contact: clarissa.hofmann@ise.fraunhofer.de
available: 2020-11-10T07:49:50Z
available: 2020-11-10T09:29:19Z
has part: 201109 remUCPS.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-11
references: https://doi.org/10.1364/OE.24.014895
references: https://doi.org/10.1364/OE.21.010606
references: https://doi.org/10.1364/OE.20.000271
references: https://doi.org/10.1063/1.3674319
references: https://doi.org/10.1103/PhysRevB.88.205118
references: https://doi.org/10.1364/OE.21.00A883
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/110.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/185.2
sparql endpoint: sparql

NeuenahrFlood Dataset and an Improved Human-in-the-Loop Strategy for Efficient Flood Water Segmentation
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: false
contributor: Hatic, Damjan
contributor: Rauhut, Markus
contributor: Polushko, Vladyslav
contributor: März, Thomas
contributor: Rösch, Ronald
contributor: Weinmann, Andreas
contributor: Bucher, Tilman
creator: Hatic, Damjan
creator: Rauhut, Markus
creator: Polushko, Vladyslav
creator: März, Thomas
creator: Rösch, Ronald
creator: Weinmann, Andreas
creator: Bucher, Tilman
date: 2025-08-28T11:49:06Z
language: en
abstract: Effective disaster response during floods requires quick identification of flooded areas. The typical data source for idenntification is aerial Remote Sensing (RS) imagery, often inexpensive RGB drone images. Reliable flood water detection in RGB images is thus essential. However, detecting water in RGB flood imagery remains challenging, because water, mud, and soil appear similar. Moreover, the sheer volume of data makes manual analysis impractical. To automate water detection, Computer Vision (CV) and Deep Learning (DL) techniques are employed, but state-of-the-art DL methods require large amounts of labeled data; a resource that is time-consuming to produce. We introduce an improved human-in-the-loop strategy which creates labeled data consisting of pairs (RGB image, water mask) from aerial RGB and Near-Infrared (NIR) imagery of the 2021 Bad Neuenahr flood. For our labelling strategy, we integrate the NIR data via a false-color representation. We then apply the Segment Anything Model 2 (SAM 2) on these false-color NIR representations. Because flooded regions have complex shapes, the initial results require manual refinement. However, by leveraging sparse prompts to identify water, these adjustments are less time-consuming compared to traditional methods. The final labeled RGB dataset serves to train DL models to detect flood water regions in RGB images without additional NIR information. As a result of the proposed labeling strategy, to foster further flood detection research, we provide NeuenahrFlood21, an RGB labeled dataset for the task of water segmentation in RGB images. NeuenahrFlood21 matches typical acquisition parameters during a river flooding event and adds to existing data resources with varied flood and vegetation patterns. We evaluate the benefit of the proposed labeling strategy by training state-of-the-art models on NeuenahrFlood21, confirming the enhanced automated flood detection capabilities.
available: 2025-08-28T11:49:06Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2025
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/407
uri: https://fordatis.fraunhofer.de/handle/fordatis/451
sparql endpoint: sparql

Microfluidic Cell Transport with Piezoelectric Micro Diaphragm Pumps
has bitstream: Cell transport.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
contributor: Bußmann, Agnes
creator: Bußmann, Agnes
date: 2021-12-01T07:51:29Z
language: en
abstract: Experimental Data
available: 2021-12-01T07:51:29Z
has part: Cell transport.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2021-11-05
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/160
uri: https://fordatis.fraunhofer.de/handle/fordatis/233
sparql endpoint: sparql

EDDA - Mozambique post disaster building damage dataset
has bitstream: EDDA Rural.rar
has bitstream: EDDA Urban.rar
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
doi: https://doi.org/10.1117/12.2683882
issue: Earth Resources and Environmental Remote Sensing/GIS Applications XIV (SPIE Remote Sensing, 2023, Amsterdam, Netherlands)
issued: 2023-10-19
journaltitle: SPIE Proceedings
originalpublishername: SPIE
volume: 12734
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: true
projectname: EDDA
contributor: Fraunhofer-Gesellschaft FhG
contributor: Codastefano, Marco
contributor: Hatic, Damjan
contributor: Rosa, Sophia
contributor: Rauhut, Markus
contributor: Stompanato, Francesco
contributor: Beleza, Antonio
creator: Hatic, Damjan
date: 2023-10-25T09:28:11Z
language: en
abstract: Natural disasters have devastating effects on communities, necessitating swift and accurate damage assessment. Manual assessment methods are time-consuming and costly, emphasizing the significance of semiautomatic ap- proaches employing remote sensing and drone data. However, current datasets primarily focus on Western countries’ infrastructure, lacking information on damaged buildings in other regions specifically Africa. To bridge this gap, we present the EDDA dataset, comprising of VHR orthorectified mosaic images from drone imagery with building footprint labels classified by damage extent of rural and urban areas of Mozambique affected by Cyclone Ida.
available: 2023-10-25T09:28:11Z
has part: EDDA Rural.rar
has part: EDDA Urban.rar
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
is referenced by: 10.1117/12.2683882
issued: 2023-10
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/296
uri: https://fordatis.fraunhofer.de/handle/fordatis/354
sparql endpoint: sparql

PackWISE: Datensatz zur Instanzsegmentierung von Verpackungsabfällen für Training und Evaluation von Modellen
has bitstream: PackWISE dataset v1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
funding programme: KI-Anwendungshub Kunststoffverpackungen – nachhaltige Kreislaufwirtschaft durch Künstliche Intelligenz
research framework programm: KI-Strategie der Bundesregierung
research framework programm: Forschung für Nachhaltigkeit (FONA)
projectacronym: K3I-Cycling
projectid: 033KI201
projectname: KI-gestützte Optimierung der Kreislaufführung von Kunststoffverpackungen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Maier, Georg
contributor: Roming, Lukas
contributor: Rüger, Steffen
contributor: Beutler, Frederik
contributor: Lauerer, Franziska
contributor: Ghosh, Tridib
contributor: Wein, Floria Simone
contributor: Shubhangi, Shubhangi
contributor: Trihasworo, Rio Hilmawan Bagas
contributor: Josekutty, Jerardh
contributor: Bhatti, Zenib
contributor: Emmert, Johannes
contributor: Kalb, Michael
contributor: Tavoosi, Kimia
contributor: Leisner, Johannes
creator: Roming, Lukas
creator: Rüger, Steffen
creator: Beutler, Frederik
creator: Kalb, Michael
date: 2026-01-07T10:19:25Z
language: en
abstract: The dataset comprises 586 RGB images of post-consumer lightweight packaging waste captured on a conveyor belt. Annotations follow the COCO format. The samples were kindly provided by a recycling plant of Lobbe RSW GmbH in Iserlohn, Germany. Samples were recorded as received, with adherent contaminants and without pretreatment. This dataset is part of the multi-sensor-dataset of the project K3I-Cycling and funded by the Federal Ministry of Research, Technology and Space (BMFTR), Germany under the funding reference 033KI201.
alternative: RGB Images of Post Consumer LWP Waste in a realistic Sorting Plant Setting
available: 2026-01-07T10:19:25Z
has part: PackWISE dataset v1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2025-12
rights: https://creativecommons.org/licenses/by/4.0/
title: PackWISE: Packaging Waste Instance Segmentation Dataset for Model Training and Evaluation
doi: doi:10.24406/fordatis/420
uri: https://fordatis.fraunhofer.de/handle/fordatis/463
sparql endpoint: sparql

Data for the prediction of the friction torque of scaled blade bearings in a test rig using machine learning
has bitstream: 2024-01-09 Friction torque paper.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
group: Energietechnologien und Klimaschutz
institute: IWES Fraunhofer-Institut für Windenergiesysteme
rawdata: false
projectacronym: iBAC
projectacronym: ViBes4Wind
projectid: 03EE3065
projectid: 0324344A
projectname: Intelligent Blade Bearing Amplitude Control
projectname: Development of a methodology for the creation of digital twins of rotor blade bearings for condition monitoring
contributor: Menck, Oliver
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Hohmann, Michael
contributor: Blechschmidt, Eike
creator: Menck, Oliver
creator: Hohmann, Michael
creator: Blechschmidt, Eike
date: 2024-01-17T15:33:20Z
language: en
abstract: Measurement data and python scripts for machine learning models of the friction torque in a test rig for scaled blade bearings ("BEAT1.1"). Measurement data is given as .parquet-files for several different bearing combinations. A Jupyter Notebook for the models is included.
available: 2024-01-17T15:33:20Z
has part: 2024-01-09 Friction torque paper.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/322
uri: https://fordatis.fraunhofer.de/handle/fordatis/378
sparql endpoint: sparql

Chiller System Simulation and Optimization
has bitstream: CoolingPlantSimAndOptResults.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
research framework programm: Energieforschungsprogramm
projectacronym: EnEffReg
projectid: 03ET1313B
projectname: Ganzheitliche Energieeffizienzregelung für versorgungstechnische Anlagen der industriellen Produktion
contributor: Fey, Arne
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Heimann, Oliver
contributor: Krüger, Jörg
contributor: Clauss, Rico
contributor: Thiele, Gregor
creator: Heimann, Oliver
creator: Krüger, Jörg
creator: Clauss, Rico
creator: Thiele, Gregor
date: 2019-12-17T07:56:38Z
language: en
abstract: The data set contains a simulation of a cooling plant, data from this simulation and some detailed optimization results.
available: 2019-12-17T07:56:38Z
created: 2019-11-20
has part: CoolingPlantSimAndOptResults.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2019-11-28
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/41
uri: https://fordatis.fraunhofer.de/handle/fordatis/124
sparql endpoint: sparql

A novel non-invasive, non-conductive method for measuring respiration
has bitstream: DelayExperiment.xlsx
has bitstream: ReproducibilityExperiment.xlsx
has bitstream: CharacterisationPhase.xlsx
has bitstream: CharacterisationMagnitude.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
rawdata: false
contributor: Lebhardt, Philipp
contributor: Ringkamp, Jan
contributor: Radler, Philipp
contributor: Langejürgen, Jens
creator: Lebhardt, Philipp
creator: Ringkamp, Jan
creator: Radler, Philipp
creator: Langejürgen, Jens
date: 2020-01-29T08:35:22Z
language: en
abstract: Accompanying datasets to the article "A novel non-invasive, non-conductive method for measuring Respiration" published in the Journal of Sensors and Sensor Systems by the same authors as this data sets.
available: 2020-01-29T08:35:22Z
created: 2019-07
has part: DelayExperiment.xlsx
has part: ReproducibilityExperiment.xlsx
has part: CharacterisationPhase.xlsx
has part: CharacterisationMagnitude.xlsx
is part of: Accompanying datasets to the article "A novel non-invasive, non-conductive method for measuring Respiration" published in the Journal of Sensors and Sensor Systems by the same authors as this data sets.
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2020-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/49
uri: https://fordatis.fraunhofer.de/handle/fordatis/136
sparql endpoint: sparql

The effect of low-carbon processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis
has bitstream: Data ExcessHeat.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Fraunhofer-Gesellschaft FhG
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
creator: Eichhammer, Wolfgang
creator: Manz, Pia
creator: Fleiter, Tobias
date: 2023-04-24T14:44:07Z
language: en
abstract: The two datasets are supplement to the publication Manz, Pia; Fleiter, Tobias; Eichhammer, Wolfang: "The effect of low-carbon processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis" (https://doi.org/10.1016/j.segy.2023.100103). Excess heat from industrial processes can be utilized in district heating networks, thereby reducing the primary energy demand and possibly CO2 emissions for district heating generation. Many studies found a substantial potential of industrial excess heat; however, they did not systematically consider the potential future changes in the energy system that will affect the potential excess heat utilization. Industrial production will transform to low-carbon processes and district heating needs to be generated without fossil fuels. Here, we quantify industrial excess heat by spatial matching for the EU-27, considering the impact of the transformation to a climate-neutral energy system. In a first step, excess heat potentials from energy-intensive industries are identified as point sources, taking into account process changes. In a subsequent step, the excess heat potentials are spatially matched to district heating areas with a GIS-based approach. The results show, that available excess heat will reduce significantly due to industry transformation. At the same time, the utilization potential could be increased by lower district heating system temperatures and by an expansion of district heating areas, resulting in 3 - 36 TWh/a. Locally, there is a significant contribution of industrial excess heat in the future, even though the major share will need to be supplied by renewables.
available: 2023-03-23T14:56:04Z
available: 2023-04-24T14:44:07Z
has part: Data ExcessHeat.xlsx
is part of: Journal paper publication: Manz, P; Fleiter, T.; Eichhammer, W.: The effect of climate-neutral processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis, Smart Energy, 2023 https://doi.org/10.1016/j.segy.2023.100103
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-04
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/252.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/316.2
sparql endpoint: sparql

Zusatzdokumente für "Leitfaden für den ortsflexiblen Einsatz von kollaborativen Robotern"
has bitstream: 2022 Leitfaden Zusatzdokument QuickCheck MRK Eignung.xlsx
has bitstream: 2022 Leitfaden Zusatzdokument Projektplan Taktzeitabschaetzung Geschwindigkeitsberechnung.xlsx
has bitstream: 2022 Leitfaden Zusatzdokument Checkliste Validierung.pdf
has bitstream: 2022 Leitfaden Zusatzdokument Muster Messprotokoll.pdf
has bitstream: 2022 Leitfaden Zusatzdokument Risikobeurteilung nach TS15066.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
group: Produktion
institute: IGCV Fraunhofer-Einrichtung für Gießerei-, Composite- und Verarbeitungstechnik
rawdata: false
research framework programm: Mittelstand-Digital
projectid: 01MF16002A
projectname: Mittelstand 4.0-Kompetenzzentrum Augsburg
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Berger, Julia
contributor: Härdtlein, Christian
contributor: Hillgartner, Laura
creator: Berger, Julia
creator: Härdtlein, Christian
creator: Hillgartner, Laura
date: 2022-02-11T07:23:37Z
language: de
abstract: Ergänzende Informationen (u. a. Vorlagen, Checklisten) und Hilfsdokumente für den "Leitfaden für den ortsflexiblen Einsatz von kollaborativen Robotern". @de
available: 2022-02-02T07:01:56Z
available: 2022-02-11T07:23:37Z
has part: 2022 Leitfaden Zusatzdokument QuickCheck MRK Eignung.xlsx
has part: 2022 Leitfaden Zusatzdokument Projektplan Taktzeitabschaetzung Geschwindigkeitsberechnung.xlsx
has part: 2022 Leitfaden Zusatzdokument Checkliste Validierung.pdf
has part: 2022 Leitfaden Zusatzdokument Muster Messprotokoll.pdf
has part: 2022 Leitfaden Zusatzdokument Risikobeurteilung nach TS15066.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
is referenced by: 10.24406/igcv-n-635224
issued: 2022-01
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/172.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/245.2
sparql endpoint: sparql

Reports from Hydrofracturing Tests Performed in the Greater Ruhr Region (Germany) between 1986 and 1995
has bitstream: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn 19 95.pdf
has bitstream: Cased hole permeability and stress measurements in borehole Rieth1 Operational Report.pdf
has bitstream: Open hole permeability and hydrofrac stress measurements in borehole Natrap1 Final Report 35 95.pdf
has bitstream: Cased hole permeability and stress measurements in borehole Rieth1 Operational Report Phase II.pdf
has bitstream: Catalogue Stress Measurements.csv
has bitstream: Cased hole permeability and stress measurements in borehole Natrap1 Operation Report and Overview Plots GCBM 04 95.pdf
has bitstream: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn vorbericht.pdf
has bitstream: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn 02 96.pdf
has bitstream: Cased hole permeability and stress measurements in borehole Rieth1 final report 29 95.pdf
has bitstream: Open hole permeability and hydrofrac stress measurements in borehole Natrap1 Operation Report GCBM 04.pdf
has bitstream: Compilation of existing hydrofrac in situ stress data for the ruhr carboniferous 031 94.pdf
has bitstream: Open hole permeability and stress measurements in borehole Rieth1 Operational Report.pdf
has bitstream: Open hole permeability and stress measurements in borehole Rieth1 final report 27 95.pdf
has bitstream: Cased hole permeability and stress measurements in borehole Natrap1 final report 39 95.pdf
has bitstream: Cased hole permeability and stress measurements in borehole Natrap1 final report 23 96.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: true
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Heidbach, Oliver
contributor: Kruszewski, Michal
contributor: Klee, Gerd
contributor: Niederhuber, Thomas
contributor: Saenger, Erik H.
contributor: Reinsch, Thomas
creator: Heidbach, Oliver
creator: Kruszewski, Michal
creator: Klee, Gerd
creator: Niederhuber, Thomas
date: 2022-10-11T06:46:52Z
language: en
abstract: This compilation presents final and preliminary written reports from hydrofracturing tests carried out between 1986 and 1995 in six, now abandoned, coal mines and two coal bed methane boreholes at depths between 600 and 1950 m within the greater Ruhr region in western Germany.
available: 2022-10-11T06:46:52Z
has part: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn 19 95.pdf
has part: Cased hole permeability and stress measurements in borehole Rieth1 Operational Report.pdf
has part: Open hole permeability and hydrofrac stress measurements in borehole Natrap1 Final Report 35 95.pdf
has part: Cased hole permeability and stress measurements in borehole Rieth1 Operational Report Phase II.pdf
has part: Catalogue Stress Measurements.csv
has part: Cased hole permeability and stress measurements in borehole Natrap1 Operation Report and Overview Plots GCBM 04 95.pdf
has part: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn vorbericht.pdf
has part: Hydrofrac Spannungsmessungen in einer vertiakl und einer horizontalbohrung im bergwerk niederberg neukirchen vluyn 02 96.pdf
has part: Cased hole permeability and stress measurements in borehole Rieth1 final report 29 95.pdf
has part: Open hole permeability and hydrofrac stress measurements in borehole Natrap1 Operation Report GCBM 04.pdf
has part: Compilation of existing hydrofrac in situ stress data for the ruhr carboniferous 031 94.pdf
has part: Open hole permeability and stress measurements in borehole Rieth1 Operational Report.pdf
has part: Open hole permeability and stress measurements in borehole Rieth1 final report 27 95.pdf
has part: Cased hole permeability and stress measurements in borehole Natrap1 final report 39 95.pdf
has part: Cased hole permeability and stress measurements in borehole Natrap1 final report 23 96.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2022-10-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/222
uri: https://fordatis.fraunhofer.de/handle/fordatis/290
sparql endpoint: sparql

Dynamic Vision Sensor Data for Visual Inspection Tasks
has bitstream: wooden balls.zip
has bitstream: environment.yaml
has bitstream: view data.py
has bitstream: beans.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
articlenumber: 6143
doi: https://doi.org/10.3390/s21186143
issue: 18
issued: 2021-09-13
journaltitle: Sensors
originalpublishername: Multidisciplinary Digital Publishing Institute
place: Basel
volume: 21
group: IUK-Technologie
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
contributor: Flitter, Merle
contributor: Längle, Thomas
contributor: Beyerer, Jürgen
contributor: Maier, Georg
contributor: Beck, Moritz
contributor: Gruna, Robin
contributor: Heizmann, Michael
creator: Flitter, Merle
creator: Längle, Thomas
creator: Beyerer, Jürgen
creator: Maier, Georg
creator: Beck, Moritz
creator: Gruna, Robin
creator: Heizmann, Michael
date: 2021-09-27T14:17:49Z
language: en
abstract: To cite this dataset, please reference: Beck, M.; Maier, G.; Flitter, M.; Gruna, R.; Längle, T.; Heizmann, M.; Beyerer, J. An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection. Sensors 2021, 21, 6143. https://doi.org/10.3390/s21186143
abstract: Datasets used in the research article "An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection". The datasets provided contain the pre-processed data for the wooden balls and beans dataset referred to in the article. If you are interested in the unprocessed raw data, please contact the corresponding author.
alternative: Datasets for research article "An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection". Sensors 2021, 21, 6143
available: 2021-09-17T08:06:56Z
available: 2021-09-27T14:17:49Z
has part: wooden balls.zip
has part: environment.yaml
has part: view data.py
has part: beans.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2021-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/148.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/222.2
sparql endpoint: sparql

https://fordatis.fraunhofer.de/rdf/resource/fordatis/331
has bitstream: 20230630 BgaPtg2 alleDaten.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/68
issued: 2023
institute: IEE Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik
rawdata: false
funding programme: Förderbereich 3.7 „Energetische Nutzung biogener Rest- und Abfallstoffe“
research framework programm: 7. Energieforschungsprogramm
projectacronym: (BGA-PtG)2
projectname: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Schröer, Ramona
creator: Schröer, Ramona
date: 2023-07-17T12:14:11Z
language: de
abstract: Daten, die in eine technische und wirtschaftliche Simulation eingeflossen sind. Kontext ist das Forschungsprojekt (BGA-PtG)2: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase. Der Abschlussbericht wird bei der TIB veröffentlicht. @de
available: 2023-07-17T12:14:11Z
has part: 20230630 BgaPtg2 alleDaten.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/68
issued: 2023-06-30
rights: https://creativecommons.org/licenses/by/4.0/
title: Daten zum Projekt (BGA-PtG)2: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase
doi: doi:10.24406/fordatis/269
uri: https://fordatis.fraunhofer.de/handle/fordatis/331
sparql endpoint: sparql

Messdaten zur Bestimmung der ferromagnetischen Hysterese an 20MnMoNi5-5 und 22NiMoCr3-7 im Rayleigh-Regime
has bitstream: F4--f0.5Hz App50mV B5-7.txt
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has bitstream: F2--f35Hz App50mV B5-7.txt
has bitstream: F2--f90Hz App50mV B15.txt
has bitstream: F3--f6Hz App50mV B5-12.txt
has bitstream: F2--f4Hz App50mV A-10.txt
has bitstream: F4--f6Hz App50mV B5-7.txt
has bitstream: F2--f4Hz App50mV A-7.txt
has bitstream: F4--f80Hz App50mV B5-5.txt
has bitstream: F3--f35Hz App50mV B7-12.txt
has bitstream: F4--f60Hz App50mV B15.txt
has bitstream: F3--f18Hz App50mV B5-12.txt
has bitstream: F4--f0.1Hz App50mV A-10.txt
has bitstream: F3--f10Hz App50mV B15.txt
has bitstream: F4--f100Hz App50mV B15.txt
has bitstream: F2--f18Hz App50mV B5-12.txt
has bitstream: F3--f50Hz App50mV B7-12.txt
has bitstream: F3--f6Hz App50mV B15.txt
has bitstream: F2--f70Hz App50mV A-10.txt
has bitstream: F4--f4Hz App50mV A-4.txt
has bitstream: F4--f40Hz App50mV B5-7.txt
has bitstream: F2--f50Hz App50mV A-10.txt
has bitstream: F2--f4Hz App50mV B7-12.txt
has bitstream: F2--f70Hz App50mV B7-12.txt
has bitstream: F2--f12Hz App50mV B5-5.txt
has bitstream: F3--f70Hz App50mV A-4.txt
has bitstream: F3--f30Hz App50mV B7-12.txt
has bitstream: F4--f45Hz App50mV B5-5.txt
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has bitstream: F3--f50Hz App50mV A-7.txt
has bitstream: F4--f40Hz App50mV B7-12.txt
has bitstream: F4--f16Hz App50mV B5-5.txt
has bitstream: F2--f45Hz App50mV A-7.txt
has bitstream: F4--f18Hz App50mV B7-12.txt
has bitstream: F4--f8Hz App50mV B15.txt
has bitstream: F4--f70Hz App50mV B5-5.txt
has bitstream: F3--f25Hz App50mV A-7.txt
has bitstream: F4--f14Hz App50mV B5-5.txt
has bitstream: F2--f60Hz App50mV A-10.txt
has bitstream: F2--f14Hz App50mV A-10.txt
has bitstream: F3--f16Hz App50mV A-10.txt
has bitstream: F3--f60Hz App50mV A-4.txt
has bitstream: F2--f0.1Hz App50mV B7-12.txt
has bitstream: F2--f6Hz App50mV B5-12.txt
has bitstream: Probenmatrix.pdf
has bitstream: F3--f35Hz App50mV B5-7.txt
has bitstream: F3--f12Hz App50mV B15.txt
has bitstream: F4--f2Hz App50mV B7-12.txt
has bitstream: F2--f25Hz App50mV B7-12.txt
has bitstream: F4--f0.1Hz App50mV B5-12.txt
has bitstream: F2--f70Hz App50mV B5-7.txt
has bitstream: F4--f2Hz App50mV B15.txt
has bitstream: F3--f100Hz App50mV B5-5.txt
has bitstream: F2--f12Hz App50mV B7-12.txt
has bitstream: F4--f18Hz App50mV A-7.txt
has bitstream: F4--f18Hz App50mV B5-7.txt
has bitstream: F4--f50Hz App50mV B15.txt
has bitstream: F2--f4Hz App50mV B5-7.txt
has bitstream: F4--f90Hz App50mV B7-12.txt
has bitstream: F4--f4Hz App50mV A-10.txt
has bitstream: F4--f2Hz App50mV B5-5.txt
has bitstream: F3--f20Hz App50mV B7-12.txt
has bitstream: F3--f25Hz App50mV B5-12.txt
has bitstream: F2--f90Hz App50mV A-7.txt
has bitstream: F4--f30Hz App50mV B15.txt
has bitstream: F3--f2Hz App50mV A-4.txt
has bitstream: F4--f10Hz App50mV A-4.txt
has bitstream: F3--f60Hz App50mV A-10.txt
has bitstream: F3--f0.1Hz App50mV A-7.txt
has bitstream: F2--f16Hz App50mV A-7.txt
has bitstream: F4--f30Hz App50mV A-10.txt
has bitstream: F4--f6Hz App50mV A-7.txt
has bitstream: F3--f14Hz App50mV A-4.txt
has bitstream: F4--f10Hz App50mV B15.txt
has bitstream: F2--f45Hz App50mV A-4.txt
has bitstream: F3--f0.1Hz App50mV A-10.txt
has bitstream: F3--f0.1Hz App50mV B5-5.txt
has bitstream: F3--f25Hz App50mV B15.txt

Synthetic Reference Energy Community load profiles for artificial case studies
has bitstream: cines rec city.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Energietechnologien und Klimaschutz
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: Fraunhofer CINES
projectname: Technoökonomische und regulatorische Potenzialanalyse der deutschen Vor-Ort-Versorgung im europäischen Vergleich
contributor: Fraunhofer-Gesellschaft FhG
contributor: Selzam, Patrick
contributor: Liesenhoff, Fabian
contributor: Surmann, Arne
contributor: Timofeeva, Elena
creator: Selzam, Patrick
creator: Liesenhoff, Fabian
creator: Surmann, Arne
creator: Timofeeva, Elena
date: 2025-09-15T14:22:40Z
language: en
abstract: This open Data set provides a reference energy community profile set for further scenario analysis. The aim is to reuse the same power flow data set in various follow up studies to facilitate the comparison of different energy community setups.
available: 2025-09-15T14:22:40Z
has part: cines rec city.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2025-09
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/408
uri: https://fordatis.fraunhofer.de/handle/fordatis/452
sparql endpoint: sparql

Archiv der Primärdaten zur Doktorarbeit "Dotierungen von tetraedrisch amorphem Kohlenstoff zur Steigerung der Schadenstoleranz und der Temperaturstabilität"
has bitstream: Messdaten Dissertation MZawischa.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/41
institute: IWS Fraunhofer-Institut für Werkstoff- und Strahltechnik
rawdata: true
contributor: Zawischa, Martin
creator: Zawischa, Martin
date: 2023-11-15T12:56:51Z
language: de
abstract: Das Archiv enthält eine tabellarische Übersicht von Messdaten zur Doktorarbeit "Dotierungen von tetraedrisch amorphem Kohlenstoff zur Steigerung der Schadenstoleranz und der Temperaturstabilität" von Martin Zawischa @de
available: 2023-11-15T12:56:51Z
has part: Messdaten Dissertation MZawischa.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/41
issued: 2023-11-13
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
title: Archive of primary data for the doctoral thesis "Doping of tetrahedral amorphous carbon to increase damage tolerance and temperature stability"
doi: doi:10.24406/fordatis/309
uri: https://fordatis.fraunhofer.de/handle/fordatis/367
sparql endpoint: sparql

INFRA-3DRC Dataset
has bitstream: INFRA-3DRC scene-02.zip
has bitstream: INFRA-3DRC scene-15.zip
has bitstream: INFRA-3DRC scene-24.zip
has bitstream: INFRA-3DRC scene-03.zip
has bitstream: INFRA-3DRC scene-04.zip
has bitstream: INFRA-3DRC scene-14.zip
has bitstream: INFRA-3DRC scene-21.zip
has bitstream: INFRA-3DRC scene-17.zip
has bitstream: INFRA-3DRC scene-18.zip
has bitstream: INFRA-3DRC scene-05.zip
has bitstream: INFRA-3DRC scene-19.zip
has bitstream: INFRA-3DRC scene-01.zip
has bitstream: INFRA-3DRC scene-25.zip
has bitstream: INFRA-3DRC scene-16.zip
has bitstream: INFRA-3DRC scene-13.zip
has bitstream: INFRA-3DRC scene-20.zip
has bitstream: INFRA-3DRC scene-08.zip
has bitstream: INFRA-3DRC scene-09.zip
has bitstream: INFRA-3DRC scene-11.zip
has bitstream: INFRA-3DRC scene-10.zip
has bitstream: INFRA-3DRC scene-23.zip
has bitstream: INFRA-3DRC scene-07.zip
has bitstream: INFRA-3DRC scene-22.zip
has bitstream: INFRA-3DRC scene-06.zip
has bitstream: INFRA-3DRC-Dataset.zip
has bitstream: INFRA-3DRC scene-12.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/46
institute: IVI Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme
rawdata: false
contributor: Elger, Gordon
contributor: Agrawal, Shiva
creator: Elger, Gordon
creator: Agrawal, Shiva
date: 2023-11-14T14:55:11Z
language: en
abstract: The INFRA-3DRC Dataset is a public dataset comprised of 3D automotive Radar and RGB camera data generated using an intelligent roadside infrastructure (also known as smart infrastructure) setup. This work is supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy (StMWi), Germany within the Project “InFra — Intelligent Infrastructure.”
available: 2023-11-14T14:55:11Z
has part: INFRA-3DRC scene-02.zip
has part: INFRA-3DRC scene-15.zip
has part: INFRA-3DRC scene-24.zip
has part: INFRA-3DRC scene-03.zip
has part: INFRA-3DRC scene-04.zip
has part: INFRA-3DRC scene-14.zip
has part: INFRA-3DRC scene-21.zip
has part: INFRA-3DRC scene-17.zip
has part: INFRA-3DRC scene-18.zip
has part: INFRA-3DRC scene-05.zip
has part: INFRA-3DRC scene-19.zip
has part: INFRA-3DRC scene-01.zip
has part: INFRA-3DRC scene-25.zip
has part: INFRA-3DRC scene-16.zip
has part: INFRA-3DRC scene-13.zip
has part: INFRA-3DRC scene-20.zip
has part: INFRA-3DRC scene-08.zip
has part: INFRA-3DRC scene-09.zip
has part: INFRA-3DRC scene-11.zip
has part: INFRA-3DRC scene-10.zip
has part: INFRA-3DRC scene-23.zip
has part: INFRA-3DRC scene-07.zip
has part: INFRA-3DRC scene-22.zip
has part: INFRA-3DRC scene-06.zip
has part: INFRA-3DRC-Dataset.zip
has part: INFRA-3DRC scene-12.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/46
issued: 2023-10-25
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/297
uri: https://fordatis.fraunhofer.de/handle/fordatis/355
sparql endpoint: sparql

Comparison of inline crack detection systems for multicrystalline silicon solar cells: Images and current-voltage data
has bitstream: A ISE EL.zip
has bitstream: IV-data Fh-ISE.xlsx
has bitstream: F ISRA MicroDice.zip
has bitstream: D ISE PL Si.zip
has bitstream: C halm EL InGaAs.zip
has bitstream: E ISRA LinePL.zip
has bitstream: B halm EL Si.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020
journaltitle: IEEE Journal of Photovoltaics
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: 6. Energieforschungsprogramm der Bundesregierung "Forschung für eine umweltschonende, zuverlässige und bezahlbare Energieversorgung"
projectacronym: iMage
projectid: 0324045A
projectid: 0324045C
projectid: 0324045D
projectname: Inline imaging methods for next generation solar cells
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Ramspeck, Klaus
contributor: Kunze, Philipp
contributor: Dost, Georg
contributor: Greulich, Johannes
contributor: Demant, Matthias
contributor: Vetter, Andreas
contributor: Probst, Christian
creator: Ramspeck, Klaus
creator: Kunze, Philipp
creator: Dost, Georg
creator: Greulich, Johannes
creator: Demant, Matthias
creator: Vetter, Andreas
creator: Probst, Christian
date: 2020-04-14T10:37:37Z
language: en
abstract: The data contains the electro- and photoluminescence, and transflection images of 120 multicrystalline silicon passivated emitter and rear solar cells (mc-Si PERC cells) and their current-voltage parameters. The images are neither scaled, nor aligned, rotated, or cropped. The data belongs to a scientific publication on crack detection, further information can be found in the publication by Greulich et al., IEEE Journal of Photovoltaics (2020) (to be published).
available: 2020-04-14T10:37:37Z
created: 2018
has part: A ISE EL.zip
has part: IV-data Fh-ISE.xlsx
has part: F ISRA MicroDice.zip
has part: D ISE PL Si.zip
has part: C halm EL InGaAs.zip
has part: E ISRA LinePL.zip
has part: B halm EL Si.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-04
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/42
uri: https://fordatis.fraunhofer.de/handle/fordatis/125
sparql endpoint: sparql

BlessemFlood21: Advancing Flood Analysis with a high-resolution georeferenced dataset for humanitarian aid support
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: true
contributor: Hatic, Damjan
contributor: Rauhut, Markus
contributor: Weber, Immanuel
contributor: Polushko, Vladyslav
contributor: März, Thomas
contributor: Jenal, Alexander
contributor: Bongartz, Jens
contributor: Rösch, Ronald
contributor: Weinmann, Andreas
creator: Polushko, Vladyslav
date: 2024-01-18T12:45:13Z
language: en
abstract: Flooding is an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations like the World Food Programme use remotely sensed images, typically obtained through drones, for rapid situational analysis to plan life-saving actions. Computer Vision tools are needed to support task force experts on-site in the evaluation of the imagery to improve their efficiency and to allocate resources strategically. We introduce the BlessemFlood21 dataset to stimulate research on efficient flood detection tools. The imagery was acquired during the 2021 Erftstadt-Blessem flooding event and consists of high-resolution and georeferenced RGB-NIR images. In the resulting RGB dataset the images are supplemented with detailed water masks, obtained via a semi-supervised human-in-the-loop technique, where in particular the NIR information is leveraged to classify pixels as either water or non-water. We evaluate our dataset by training and testing established Deep Learning models for semantic segmentation. We provide with BlessemFlood21 labelled high-resolution RGB data and a baseline for further development of algorithmic solutions tailored to floodwater detection in RGB imagery.
available: 2024-01-18T12:45:13Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
is referenced by: to be announced
issued: 2024-01
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/323
uri: https://fordatis.fraunhofer.de/handle/fordatis/379
sparql endpoint: sparql

Structural characterization and bioactivity profiling of the fungal peptaibiotic tolypin reveal protective effects against influenza viruses
has bitstream: Tolypin Iscid20 Coll60 717 A2p P1-E-1 1 95104.d.zip
has bitstream: Tolypin Iscid20 Coll60 675 A2p P1-E-1 1 95097.mzML
has bitstream: Tolypin Iscid20 Coll60 689 A2p P1-E-1 1 95099.d.zip
has bitstream: Tolypin A2p P1-E-1 1 95095.d.zip
has bitstream: Tolypin Iscid20 Coll60 675 A2p P1-E-1 1 95097.d.zip
has bitstream: Tolypin Iscid20 Coll60 689 A2p P1-E-1 1 95099.mzML
has bitstream: Tolypin Iscid20 Coll60 703 A2p P1-E-1 1 95100.mzML
has bitstream: Tolypin A2p P1-E-1 1 95095.mzML
has bitstream: Tolypin Iscid20 Coll60 703 A2p P1-E-1 1 95100.d.zip
has bitstream: Tolypin Iscid20 Coll60 717 A2p P1-E-1 1 95104.mzML
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/57
institute: IME-AE Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie
rawdata: true
funding programme: Förderung von Nachwuchsgruppen in der Infektionsforschung
projectacronym: ASCRIBE
projectid: 01KI2024
projectname: Screening of bioresources to identify novel antiviral substances to treat Influenza
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Vilcinskas, Andreas
contributor: Hartwig, Christoph
contributor: Böttcher-Friebertshäuser, Eva
contributor: Degenkolb, Thomas
contributor: Culmsee, Carsten
contributor: Brückner, Hans
contributor: Eichberg, Johanna
contributor: Hardes, Kornelia
contributor: Oberpaul, Markus
contributor: Geißler, Helga
creator: Vilcinskas, Andreas
creator: Hartwig, Christoph
creator: Böttcher-Friebertshäuser, Eva
creator: Degenkolb, Thomas
creator: Culmsee, Carsten
creator: Brückner, Hans
creator: Eichberg, Johanna
creator: Hardes, Kornelia
creator: Oberpaul, Markus
creator: Geißler, Helga
date: 2024-07-15T08:35:15Z
language: en
abstract: Raw UHPLC‐MS/MS data for tolypin used in publication "Structural characterization and bioactivity profiling of the fungal peptaibiotic tolypin reveal protective effects against influenza viruses" Files are provided in Bruker format and in mzML format.
available: 2024-07-15T08:35:15Z
has part: Tolypin Iscid20 Coll60 717 A2p P1-E-1 1 95104.d.zip
has part: Tolypin Iscid20 Coll60 675 A2p P1-E-1 1 95097.mzML
has part: Tolypin Iscid20 Coll60 689 A2p P1-E-1 1 95099.d.zip
has part: Tolypin A2p P1-E-1 1 95095.d.zip
has part: Tolypin Iscid20 Coll60 675 A2p P1-E-1 1 95097.d.zip
has part: Tolypin Iscid20 Coll60 689 A2p P1-E-1 1 95099.mzML
has part: Tolypin Iscid20 Coll60 703 A2p P1-E-1 1 95100.mzML
has part: Tolypin A2p P1-E-1 1 95095.mzML
has part: Tolypin Iscid20 Coll60 703 A2p P1-E-1 1 95100.d.zip
has part: Tolypin Iscid20 Coll60 717 A2p P1-E-1 1 95104.mzML
is part of: https://doi.org/10.1002/ardp.202400384
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/57
issued: 2024-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/356
uri: https://fordatis.fraunhofer.de/handle/fordatis/409
sparql endpoint: sparql

Künstliche Intelligenz (KI)
has bitstream: Archiv.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: IT 1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2020-08-13T07:39:53Z
language: de
abstract: In der Umfrage zu Künstlicher Intelligenz geht es um die Nutzung von KI-Systemen und Einstellung der Bevölkerung zu künstlicher Intelligenz. Im Allgemeinen bezeichnet künstliche Intelligenz oder KI den Versuch, eine menschenähnliche Intelligenz nachzubilden, d. h., einen Computer zu bauen oder so zu programmieren, dass er eigenständig Probleme bearbeiten kann. Die Fragen richten sich auf Akzeptanz von KI-Systemen in verschiedenen Lebensbereichen und die Einschätzung von Chancen und Risiken der Nutzung von KI. Das Kompetenzzentrum Öffentliche Informationstechnologie (ÖFIT) versteht sich als Ansprechpartner und Denkfabrik für Fragen der öffentlichen IT und untersucht staatliche Gestaltungs- und Regulierungsanforderungen zur Digitalisierung im öffentlichen Raum. Es handelt sich bei dieser Veröffentlichung um Daten einer Bevölkerungsumfrage zu Digitalpolitik und digitalem Engagement, die von der GMS Dr. Jung GmbH Gesellschaft für Markt- und Sozialforschung im Auftrag des Kompetenzzentrums Öffentliche IT (ÖFIT) von November bis Dezember 2017 durchgeführt wurden. Mit der Veröffentlichung der Umfragedaten wollen wir diese der Forschungsgemeinschaft zur Nachnutzung für weitere Forschungszwecke bereitstellen. @de
alternative: ÖFIT Bevölkerungsumfrage 2017
available: 2020-08-13T07:39:53Z
created: 2017-12
has part: Archiv.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2020-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/86
uri: https://fordatis.fraunhofer.de/handle/fordatis/170
sparql endpoint: sparql

Reference data sets for the detection of anomalies in the manufacturing process of cutting machine tools
has bitstream: Dokumentation zu den beiliegenden Referenzdatensätzen.pdf
has bitstream: imbalance data.7z
has bitstream: demo component.7z
has bitstream: Documentation for the enclosed reference data sets.pdf
has bitstream: tool wear.7z
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
group: Produktion
institute: IPT Fraunhofer-Institut für Produktionstechnologie
rawdata: false
projectacronym: Glassist
projectid: EFRE-0801395
projectname: Smart-Glass-based Assistance Systems for Machine Tools
contributor: European Commission EC
contributor: Lee, Tae Hun
contributor: Kosel, Maximilian
contributor: Lowis, Steffen
contributor: Fritz, Jan
contributor: Zontar, Daniel
creator: Lowis, Steffen
date: 2022-03-29T07:34:09Z
language: en
abstract: The present data sets were created and published within the project "Glassist - Smart-Glass-based Assistance System for Machine Tools". The project is being carried out in collaboration with the project partners Nuromedia GmbH, Oculavis GmbH, Innolite GmbH and Starrag Technology GmbH. The data sets can be assigned to series of experiments. The individual experiments were carried out with a process-integrated measuring system on a machine tool under process parameter variations. In an attached documentation, the data sets are described in detail and notes on interpretation are presented.
available: 2022-02-02T06:38:01Z
available: 2022-03-29T07:34:09Z
has part: Dokumentation zu den beiliegenden Referenzdatensätzen.pdf
has part: imbalance data.7z
has part: demo component.7z
has part: Documentation for the enclosed reference data sets.pdf
has part: tool wear.7z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
issued: 2022-01-31
modified: 2022-01-26T07:33:16Z
rights: http://rightsstatements.org/vocab/InC/1.0/
title: Referenzdatensätze zur Erkennung von Anomalien im Fertigungsprozess von spanenden Werkzeugmaschinen
doi: doi:10.24406/fordatis/171.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/244.2
sparql endpoint: sparql

Data Catalogs in the Enterprise: Applications and Integration
has bitstream: A1 - Analyzed Data Catalog Offerings.pdf
has bitstream: A2 - Integration Survey Questions, Approach and Results.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
group: IUK-Technologie
institute: ISST Fraunhofer-Institut für Software- und Systemtechnik
rawdata: false
contributor: Otto, Boris
contributor: Jahnke, Nils
creator: Otto, Boris
creator: Jahnke, Nils
date: 2023-05-08T12:21:46Z
language: en
abstract: The data serve as a supplement to the publication Data Catalogs in the Enterprise: Applications and Integration. It includes a table listing the data catalog offerings surveyed, their application class and commercial characteristics, and a table detailing the questions, approach, and results of the data catalog integration survey.
alternative: Supplementary material for publication in Datenbank-Spektrum
available: 2023-05-08T12:21:46Z
has part: A1 - Analyzed Data Catalog Offerings.pdf
has part: A2 - Integration Survey Questions, Approach and Results.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/257
uri: https://fordatis.fraunhofer.de/handle/fordatis/320
sparql endpoint: sparql

Threshold of Toxicological Concern—An Update for Non-Genotoxic Carcinogens
has bitstream: Table 1.DOCX
has bitstream: Table 2.DOCX
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
articlenumber: 688321
doi: https://doi.org/10.3389/ftox.2021.688321
issued: 2021-06-24
journaltitle: Frontiers in toxicology
originalpublishername: Frontiers Media
place: Lausanne
volume: 3
group: Gesundheit
institute: ITEM Fraunhofer-Institut für Toxikologie und Experimentelle Medizin
rawdata: false
projectid: CEFIC LRI B18_2
contributor: Cronin, Mark
contributor: Kellner, Rupert
contributor: Escher, Sylvia
contributor: Batke, Monika
contributor: Rathman, James
contributor: Yang, Chihae
contributor: Moradi Afrapoli, Fatemeh
creator: Cronin, Mark
creator: Kellner, Rupert
creator: Escher, Sylvia
creator: Batke, Monika
creator: Rathman, James
creator: Yang, Chihae
creator: Moradi Afrapoli, Fatemeh
date: 2021-07-28T05:55:50Z
language: en
abstract: Supplementary Material
available: 2021-07-28T05:55:50Z
has part: Table 1.DOCX
has part: Table 2.DOCX
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
issued: 2021-06-25
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/138
uri: https://fordatis.fraunhofer.de/handle/fordatis/211
sparql endpoint: sparql

https://fordatis.fraunhofer.de/rdf/resource/fordatis/332
has bitstream: 3-BgaPtg2Restriction.pdf
has bitstream: 9-BgaPtg2CalcGasCost.pdf
has bitstream: 1-BgaPtg2AppMain.pdf
has bitstream: 2-BgaPtg2Calc.pdf
has bitstream: 11-BgaPtg2FileInfos.pdf
has bitstream: 10-BgaPtg2UpdateMessageBox.pdf
has bitstream: BgaPtg2 Übersicht zum Quellcode der Simulation.pdf
has bitstream: 5-BgaPtg2TechSimuComp.pdf
has bitstream: 4-BgaPtg2TechPreCalc.pdf
has bitstream: 7-BgaPtg2CalcCompCost.pdf
has bitstream: 8-BgaPtg2CalcChainCost.pdf
has bitstream: 6-BgaPtg2TechSimuChain.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/68
institute: IEE Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik
rawdata: false
funding programme: Förderbereich 3.7 „Energetische Nutzung biogener Rest- und Abfallstoffe“
research framework programm: 7. Energieforschungsprogramm
projectacronym: (BGA-PtG)2
projectname: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen, einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Panahandeh, Bahram
contributor: Schröer, Ramona
creator: Panahandeh, Bahram
creator: Schröer, Ramona
date: 2023-06-29T08:49:40Z
language: de
abstract: Quellcode einer technischen und wirtschaftlichen Simulation. Kontext ist das Forschungsprojekt (BGA-PtG)2: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase. Der Abschlussbericht wird bei der TIB veröffentlicht. @de
available: 2023-06-29T08:49:40Z
has part: 3-BgaPtg2Restriction.pdf
has part: 9-BgaPtg2CalcGasCost.pdf
has part: 1-BgaPtg2AppMain.pdf
has part: 2-BgaPtg2Calc.pdf
has part: 11-BgaPtg2FileInfos.pdf
has part: 10-BgaPtg2UpdateMessageBox.pdf
has part: BgaPtg2 Übersicht zum Quellcode der Simulation.pdf
has part: 5-BgaPtg2TechSimuComp.pdf
has part: 4-BgaPtg2TechPreCalc.pdf
has part: 7-BgaPtg2CalcCompCost.pdf
has part: 8-BgaPtg2CalcChainCost.pdf
has part: 6-BgaPtg2TechSimuChain.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/68
issued: 2023-06-27
rights: https://creativecommons.org/licenses/by/4.0/
title: Quellcode zur Simulation im Projekt (BGA-PtG)2: Ganzheitliche Bewertung der Integration von Power-to-Gas-Konzepten in Biogas- und Biomethananlagen einschließlich der Entwicklung von Geschäftsmodellen für regenerative Gase
doi: doi:10.24406/fordatis/270
uri: https://fordatis.fraunhofer.de/handle/fordatis/332
sparql endpoint: sparql

Probability maps and search strategies for automated UAV search in the Wadden Sea: simulation data.
has bitstream: SAR with UAV.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/194
institute: IMTE Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik
rawdata: false
projectacronym: WRD
projectname: Water Rescue Drones
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Schildbach, Georg
contributor: Moshagen, Ludmila
contributor: Castelar Wembers, Carlos
creator: Moshagen, Ludmila
date: 2025-09-01T10:01:15Z
language: en
abstract: The simulation framework in this dataset is intended for use in research related to search and rescue operations. It contains terrain-based movement simulation of a lost person in the Wadden Sea, probability map generation methods, search patterns and search metrics for a UAV.
available: 2025-09-01T10:01:15Z
has part: SAR with UAV.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/194
issued: 2025-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/409
uri: https://fordatis.fraunhofer.de/handle/fordatis/453
sparql endpoint: sparql

Ontologies for FAIR Data in Additive Manufacturing
has bitstream: AMAO.ttl
has bitstream: README.md
has bitstream: PBFAO.ttl
has bitstream: WAAMAO.ttl
has bitstream: MAO.ttl
has bitstream: CEMAO.ttl
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
uri: https://w3id.org/ODE_AM/
group: Produktion
institute: IGCV Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik
rawdata: false
projectacronym: ODE_AM
projectid: 13XP5117B
projectname: Datenmanagment mit Wissengraphen und Ontologien zur Optimierung der Additiven Fertigung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Bjarsch, Thomas
creator: Bjarsch, Thomas
date: 2025-05-12T11:13:13Z
language: en
abstract: It uses Basic Formal Ontology as a Top- and Common Core Ontologies as Mid-Level-Ontologies. Fraunhofer IGCV Manufacturing Application Ontology is used as direct import."^^xsd:string , "This ontology, created for use at Fraunhofer IGCV, includes essential classes specifically relevant to Project ODE_AM within the domain of Additive Manufacturing. It is designed with the capability for successive expansions to accommodate future developments and additional requirements in this field."^^xsd:string , "This ontology, designed for use in data management within the Fraunhofer IGCV's project-specific web-app, includes only those classes that are directly relevant to the project's needs. It primarily integrates existing classes from the Basic Formal Ontology (BFO) and the Common Core Ontologies (CCO), selectively chosen to fit the considered use cases in our project. This focused approach ensures efficient and relevant data categorization and retrieval tailored to our specific project requirements.
available: 2025-05-12T11:13:13Z
has part: AMAO.ttl
has part: README.md
has part: PBFAO.ttl
has part: WAAMAO.ttl
has part: MAO.ttl
has part: CEMAO.ttl
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/65
issued: 2024-01-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/396
uri: https://fordatis.fraunhofer.de/handle/fordatis/441
sparql endpoint: sparql

HoloPort – design and integration of a digital holographic 3-D sensor in machine tools
has bitstream: Figure 8.zip
has bitstream: Figure 6.zip
has bitstream: Figure 7.zip
has bitstream: Figure 5.zip
has bitstream: Figure 9.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: false
contributor: Beckmann, Tobias
contributor: Fratz, Markus
contributor: Bertz, Alexander
contributor: Seyler, Tobias
contributor: Engler, Johannes
contributor: Carl, Daniel
creator: Beckmann, Tobias
creator: Fratz, Markus
creator: Bertz, Alexander
creator: Seyler, Tobias
creator: Engler, Johannes
creator: Carl, Daniel
date: 2020-02-06T11:30:38Z
language: en
abstract: Supplementary data to the design and integration of the digital holographic 3-D sensor HoloPort: Interferometric vibration measurements inside a machine tool, evaluations of the sensor's data processing and transfer speed, temperature stability and exemplary application measurements inside a machine tool.
alternative: Supplementary data
available: 2020-02-06T11:30:38Z
created: 2019
has part: Figure 8.zip
has part: Figure 6.zip
has part: Figure 7.zip
has part: Figure 5.zip
has part: Figure 9.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2020
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/51
uri: https://fordatis.fraunhofer.de/handle/fordatis/138
sparql endpoint: sparql

The analysis of fluorescence fluctuations by means of the mean single-molecule rate (mSMR) [source data]
has bitstream: Spectra data.zip
has bitstream: Scripts.zip
has bitstream: MCS data.zip
has bitstream: Graphs.zip
has bitstream: DNA data.zip
has bitstream: Alexa data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/53
group: Gesundheit
institute: FIT Fraunhofer-Institut für Angewandte Informationstechnik
rawdata: false
contributor: Sparrenberg, Lorenz
creator: Sparrenberg, Lorenz
date: 2022-06-03T11:18:19Z
language: en
abstract: This data set contains the measurement data for the dissertation "The analysis of fluorescence fluctuations by means of the mean single-molecule rate (mSMR)." The measurement data are stored as Python pickle objects (.pkl). The Python scripts for reading the data, for the analysis as well as for the generation of the plots are attached to the data set.
available: 2022-06-03T11:18:19Z
has part: Spectra data.zip
has part: Scripts.zip
has part: MCS data.zip
has part: Graphs.zip
has part: DNA data.zip
has part: Alexa data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/53
issued: 2022
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/187
uri: https://fordatis.fraunhofer.de/handle/fordatis/259
sparql endpoint: sparql

FlexSense Infrastructure Sensor Dataset: Road Side Infrared Image and 4D Radar Point Cloud for Traffic Analysis
has bitstream: IVI Dataset V1.0 FlexSense.tar
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/46
issued: 2023-09
group: IUK-Technologie
institute: IVI Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme
rawdata: false
contributor: Han, Longfei
creator: Han, Longfei
date: 2023-11-09T12:27:14Z
language: en
abstract: Dataset for Development of Algorithms for Object Detection and Tracking Using Sensor Data Fusion of Infrared Image and Radar Point Cloud in Traffic Analysis.
available: 2023-11-09T12:27:14Z
has part: IVI Dataset V1.0 FlexSense.tar
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/46
issued: 2023-10-01
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/284
uri: https://fordatis.fraunhofer.de/handle/fordatis/344
sparql endpoint: sparql

Inverse Bestimmung der Jiles-Atherton-Parameter durch Optimierung (Differential-Evolution) und Surrogatmodellierung
has bitstream: F3--f1Hz App700mV Jochschluss Exp.txt
has bitstream: func2 preprocessData.m
has bitstream: func3 runDE.m
has bitstream: F4--f1Hz App700mV Jochschluss Exp.txt
has bitstream: MAIN.m
has bitstream: func1 load experiment data.m
has bitstream: Surrogatmodel.mph
has bitstream: merged output.txt
has bitstream: DNN Jochcharakterisierung.mph
has bitstream: func6 objectiveFunction.m
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
institute: IZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren
rawdata: false
contributor: Thieltges, Sascha
contributor: Hartmann, Uwe
creator: Thieltges, Sascha
date: 2025-11-26T05:52:26Z
language: de
abstract: The dataset includes a COMSOL model that replicates the experimental setup used for characterizing ferromagnetic hysteresis. Based on this model, synthetic training data were generated and used to create a surrogate model within COMSOL. This surrogate model was integrated into a MATLAB script that also processes experimental measurement data. The script performs an inverse identification of the Jiles–Atherton parameters using a Differential Evolution algorithm. This approach enables a model-based reconstruction of the ferromagnetic hysteresis curve for the investigated material.
available: 2025-11-26T05:52:26Z
has part: F3--f1Hz App700mV Jochschluss Exp.txt
has part: func2 preprocessData.m
has part: func3 runDE.m
has part: F4--f1Hz App700mV Jochschluss Exp.txt
has part: MAIN.m
has part: func1 load experiment data.m
has part: Surrogatmodel.mph
has part: merged output.txt
has part: DNN Jochcharakterisierung.mph
has part: func6 objectiveFunction.m
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/422
uri: https://fordatis.fraunhofer.de/handle/fordatis/465
sparql endpoint: sparql

SemanGit: A Linked Dataset from git
has bitstream: download.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/52
doi: https://doi.org/10.5281/zenodo.2176047
originalpublishername: Springer
place: The Semantic Web – ISWC 2019
institute: IAIS Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme
rawdata: false
contributor: Kubitza, Dennis Oliver
contributor: Böckmann, Matthias
contributor: Graux, Damien
creator: Kubitza, Dennis Oliver
creator: Böckmann, Matthias
creator: Graux, Damien
date: 2019-12-02T09:04:38Z
language: en
abstract: The growing interest in free and open-source software which occurred over the last decades has accelerated the usage of versioning systems to help developers collaborating together in the same projects. As a consequence, specific tools such as git and specialized open-source on-line platforms gained importance. In this study, we introduce and share SemanGit which provides a resource at the crossroads of both Semantic Web and git web-based version control systems. SemanGit is actually the first collection of linked data extracted from GitHub based on a git ontology we designed and extended to include specific GitHub features. In this article, we present the dataset, describe the extraction process according to the ontology, show some promising analyses of the data and outline how SemanGit could be linked with external datasets or enriched with new sources to allow for more complex analyses.
available: 2019-12-02T09:04:38Z
created: 2019-07
has part: https://drive.google.com/file/d/1V-0hIrjW2g6T-88dheDoSrT7QgYEmR0U/view
has part: download.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/52
issued: 2019-10
relation: https://drive.google.com/file/d/1V-0hIrjW2g6T-88dheDoSrT7QgYEmR0U/view
rights: mit
doi: doi:10.24406/fordatis/20
uri: https://fordatis.fraunhofer.de/handle/fordatis/102
sparql endpoint: sparql

JERRI Action plan workshop documentation FhG
has bitstream: JERRI Action plan workshop documentation FhG.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Röß, Andreas
contributor: Warnke, Philine
contributor: Reimoser, Cornelia
creator: Röß, Andreas
creator: Warnke, Philine
creator: Reimoser, Cornelia
date: 2019-10-25T15:45:35Z
language: de
abstract: This data sets contains the documentation (in German) of the second round of workshops (action plan workshops) that were carried out by Fraunhofer ISI within the EU project JERRI (Joining Efforts for Responsible Research and Innovation). The second round of workshops were dedicated to develop action plans (roadmaps) for several Responsible Research and Innovation (RRI) key dimensions (ethics, gender, open access, societal engagement). The documentation outlines about how the former developed RRI long-term goals can be achieved at Fraunhofer and which measures are needed to fulfill these goals. The results of these workshops were also used for the Deliverable D4.2 'Transformative RRI action plan for Fraunhofer'.
available: 2019-10-25T15:45:35Z
created: 2017-04
has part: JERRI Action plan workshop documentation FhG.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/30
uri: https://fordatis.fraunhofer.de/handle/fordatis/114
sparql endpoint: sparql

Detection of Breathing Movements of Preterm Neonates by Recording Their Abdominal Movements with a Time-of-Flight Camera
has bitstream: READ ME.txt
has bitstream: 2019-09-06 Clinical Raw Data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
group: Gesundheit
institute: ITEM Fraunhofer-Institut für Toxikologie und Experimentelle Medizin
rawdata: true
research framework programm: Horizon 2020
projectacronym: MDOT
projectacronym: Flexmax
projectid: GS2SH016
projectid: 814654
projectname: Flexible aktive Sensormatrix für medizinische Anwendungen
projectname: Medical Device Obligations Taskforce
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: European Commission EC
contributor: Pohlmann, Gerhard
contributor: Doll, Theodor
contributor: Dietzel, Andreas
contributor: Bohnhorst, Bettina
contributor: Mazela, Jan
contributor: Matusiak, Grzegorz
contributor: Fast, Jacob F.
contributor: Ortmaier, Tobias
contributor: Wiegandt, Felix C.
contributor: Biegger, David
creator: Pohlmann, Gerhard
creator: Doll, Theodor
creator: Dietzel, Andreas
creator: Bohnhorst, Bettina
creator: Mazela, Jan
creator: Matusiak, Grzegorz
creator: Fast, Jacob F.
creator: Ortmaier, Tobias
creator: Wiegandt, Felix C.
creator: Biegger, David
date: 2022-03-29T06:42:15Z
language: other
abstract: Recorded video data of abdominal movement of preterm neonates (clinical study, approval ID: 8584_BO_S_2019) using a time-of-flight camera. In the clinical study, five frame sequences at a duration of 90 s each were acquired with each of five preterm neonates (a total of 25 sequences) at a frame rate of 45 fps
available: 2022-03-29T06:42:15Z
has part: READ ME.txt
has part: 2019-09-06 Clinical Raw Data.zip
is part of: 10.3390/pharmaceutics13050721
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
issued: 2021-05-14
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/162
uri: https://fordatis.fraunhofer.de/handle/fordatis/235
sparql endpoint: sparql

Smart Home
has bitstream: Umfragedaten.2019.SmaHom.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: Fördernummer (Förderperiode 2018/19): ITI1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2023-12-18T08:57:51Z
language: de
abstract: In dieser Umfrage geht es um die Haltung der Befragten zu neuen Technologien, insbesondere um die Nutzung und Erfahrung mit intelligent vernetzten Geräten im Haushalt, also Smart Home bzw. Ambient Assisted Living Anwendungen in verschiedenen privaten Einsatzbereichen. Nutzer:inner von Smart Home Anwendungen wurden nach der Wichtigkeit verschiedener Kaufkritierien befragt. Nicht-Nutzer:innen von Smart Home Anwendungen wurden nach Gründen für die Nicht-Nutzung befragt. Für die Umfrage wird neben dem Datensatz (in zwei Versionen: sowohl mit Werten als auch mit Label) der Fragebogen mit dem Codeschema bereitgestellt. Zusätzlich werden die vom Dienstleister verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
alternative: ÖFIT Bevölkerungsumfrage 2019
available: 2023-12-18T08:57:51Z
has part: Umfragedaten.2019.SmaHom.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2023-11
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/310
uri: https://fordatis.fraunhofer.de/handle/fordatis/368
sparql endpoint: sparql

Vibrationsmessungen an einer rotierenden Welle bei verschiedenen Unwuchtstärken
has bitstream: README.md
has bitstream: fraunhofer eas dataset for unbalance detection v1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: false
contributor: Enge-Rosenblatt, Olaf
contributor: Schneider, André
contributor: Neudeck, Willi
contributor: Mey, Oliver
creator: Enge-Rosenblatt, Olaf
creator: Schneider, André
creator: Neudeck, Willi
creator: Mey, Oliver
date: 2020-04-14T10:59:09Z
language: en
abstract: This dataset contains vibration data recorded on a rotating drive train. This drive train consists of an electronically commutated DC motor and a shaft driven by it, which passes through a roller bearing. With the help of a 3D-printed holder, unbalances with different weights and different radii were attached to the shaft. Besides the strength of the unbalances, the rotation speed of the motor was also varied. This dataset can be used to develop and test algorithms for the automatic detection of unbalances on drive trains. Datasets for 4 differently sized unbalances and for the unbalance-free case were recorded. The vibration data was recorded at a sampling rate of 4096 values per second. Datasets for development (ID "D[0-4]") as well as for evaluation (ID "E[0-4]") are available for each unbalance strength. The rotation speed was varied between approx. 630 and 2330 RPM in the development datasets and between approx. 1060 and 1900 RPM in the evaluation datasets. For each measurement of the development dataset there are approx. 107min of continuous measurement data available, for each measurement of the evaluation dataset 28min. Details of the recorded measurements and the used unbalance strengths are documented in the README.md file.
abstract: Dieser Datensatz enthält Vibrationsdaten, die an einem rotierenden Antriebsstrang aufgezeichnet wurden. Der Antriebsstrang besteht dabei aus einem elektronisch kommutierten Gleichstrommotor und einer von diesem angetriebenen Welle, die durch ein Wälzlager läuft. An der Welle wurden mithilfe eines 3D-gedruckten Halters Unwuchten mit verschiedenen Gewichten und an unterschiedlichen Radien befestigt. Neben der Stärke der Unwuchten wurde auch die Drehzahl des Motors variiert. Mit diesem Datensatz können Algorithmen für die automatische Erkennung von Unwuchten an Antriebssträngen entwickelt und getestet werden. Es wurden Datensätze für 4 unterschiedlich große Unwuchten und für den unwuchtfreien Fall aufgenommen. Die Vibrationsdaten wurden mit einer Abtastrate von 4096 Werten pro Sekunde aufgezeichnet. Für jede Unwuchtstärke stehen Datensätze sowohl für die Entwicklung (ID "D[0-4]") als auch für die Evaluation (ID "E[0-4]") von Klassifikationsmodellen zur Verfügung. Die Drehzahl wurde in den Entwicklungsdatensätzen zwischen ca. 630 und 2330 U/min und in den Auswertungsdatensätzen zwischen ca. 1060 und 1900 U/min variiert. Für jede Messung des Entwicklungsdatensatzes stehen ca. 107min an kontinuierlichen Messdaten zur Verfügung, für jede Messung des Evaluationsdatensatzes 28min. Details zu den aufgezeichneten Messungen und den verwendeten Unwuchtstärken sind in der Datei README.md dokumentiert. @de
available: 2020-03-31T06:16:05Z
available: 2020-04-14T10:59:09Z
created: 2020-03-25
has part: README.md
has part: fraunhofer eas dataset for unbalance detection v1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2020-03-25
rights: https://creativecommons.org/licenses/by/4.0/
title: Vibration Measurements on a Rotating Shaft at Different Unbalance Strengths
doi: doi:10.24406/fordatis/65.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/151.2
sparql endpoint: sparql

Overhead Car Assembly IMU Dataset
has bitstream: OCA.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
funding programme: Adaptive, lernende Systeme - Für eine verständlicheInteraktion zwischen Mensch und komplexer Technik
research framework programm: IKT 2020 - Forschung für Innovationen
projectacronym: PowerGrasp
projectid: 16SV7314
projectname: Intelligente soft-robotische Arm/Hand/Finger-Orthese mit kontinuierlicher Kinematik
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Krüger, Jörg
contributor: Filaretov, Hristo
contributor: Kuschan, Jan
creator: Filaretov, Hristo
creator: Kuschan, Jan
date: 2021-03-18T13:16:45Z
language: en
abstract: This dataset consists of 360 minutes of synchronized video and motion data gathered using a wearable sensor vest equipped with 4 IMUs (one on each upper arm, two on the chest). The data represents about 282 repetitions of a cyclical industrial assembly task performed by 5 different participants. The data has been annotated using six mid-level actions and a null class. The class representation is highly imbalanced, as is the total amount of cycles each participant has recorded.
alternative: OCA
available: 2021-03-18T13:16:45Z
has part: OCA.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2021-03
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/121
uri: https://fordatis.fraunhofer.de/handle/fordatis/195
sparql endpoint: sparql

Hybrid quantum transfer learning for crack image classification on NISQ hardware
has bitstream: crack classification.ipynb
has bitstream: README.md
has bitstream: subset 12img.zip
has bitstream: environment.yml
has bitstream: requirements.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: false
projectacronym: AnQuC-3
projectname: Anwendungsorientiertes Quantencomputing
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Geng, Alexander
creator: Geng, Alexander
date: 2023-12-06T15:40:27Z
language: en
abstract: This source code is meant to support the understanding of our paper Hybrid quantum transfer learning for crack image classification on NISQ hardware. Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations. However, recent experiments have indicated that the practical feasibility of retrieving an image from its quantum encoded version is currently limited to very small image sizes. Despite this constraint, variational quantum machine learning algorithms can still be employed in the current noisy intermediate scale quantum (NISQ) era. An example is a hybrid quantum machine learning approach for edge detection. In our study, we present an application of quantum transfer learning for detecting cracks in gray value images. We compare the performance and training time of PennyLane’s standard qubits with IBM’s qasm_simulator and real backends, offering insights into their execution efficiency.
available: 2023-12-06T13:22:19Z
available: 2023-12-06T15:40:27Z
has part: crack classification.ipynb
has part: README.md
has part: subset 12img.zip
has part: environment.yml
has part: requirements.txt
is part of: https://arxiv.org/abs/2307.16723
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2023-07-31
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/313.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/371.2
sparql endpoint: sparql

Open Research Data Pilot - BTDC
has bitstream: BodenTypeDC D5.4 RISE 2020-09-25-version2-ORDP.docx
has bitstream: Data-Collation-version2.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: IUK-Technologie
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: true
funding programme: EU.3.3.1.
research framework programm: H2020
projectacronym: BodenTypeDC
projectid: 768875
projectname: Prototyping the most energy and cost efficient data center in the world: The Boden Type Data Center — BodenTypeDC’
contributor: European Commission EC
contributor: Beresford, Alan
contributor: Batz, Thomas
contributor: Gustafsson, Jonas
contributor: Kozma, László
contributor: Herzog, Reinhard
contributor: Olsson, Daniel
contributor: Lindh, Nils
contributor: Fredricksson, Sebastian
contributor: Sarkinen, Jeffrey
contributor: Summers, Jon
contributor: Blylod, Filip
creator: Beresford, Alan
creator: Batz, Thomas
creator: Gustafsson, Jonas
creator: Kozma, László
creator: Herzog, Reinhard
creator: Olsson, Daniel
creator: Lindh, Nils
creator: Fredricksson, Sebastian
creator: Sarkinen, Jeffrey
creator: Summers, Jon
creator: Blylod, Filip
date: 2020-10-16T13:32:35Z
language: en
abstract: The BodenType Data Center One has been operational since January 2019. The data center has 3 PODS which are configured with slight variations in the fresh air-based cooling systems. The datasets that have been collected since operation commenced in PODs 1 and 3 with the operational period from the perspective of data collection using the database system and DCIM system installed and described in D5.1 being from 5th March 2019 to 2nd March 2020 inclusive, so 52 weeks, 364 days and 8,736 hours. The datasets for POD 1 comprehensively include energy, temperature, relative humidity, fan speeds, average server chip temperatures, average server fan speeds, percentage server utilization and dew point. The POD 3 datasets include average server power consumption and percentage fan speeds, but the period of operation is shorter than POD 1, being only from 26th April 2019 to 24th February 2020 inclusive. The data set also includes weather data over the full 364-day period. Two sets of data are to be made available. The first is an excel spreadsheet with the finest time resolution being for hourly averaged data, but the data is for all 364 days, so 8,736 hours. The second data set is the full data collected during the 9 sets of 5-day test campaigns and a further 9 sets of 6-day test campaigns with a resolution of measured data values being between 15 and 30 seconds resulting in a large data set.
alternative: BodenType Data Center One - Performance Measurements
available: 2020-10-16T13:32:35Z
created: 2020
has part: BodenTypeDC D5.4 RISE 2020-09-25-version2-ORDP.docx
has part: Data-Collation-version2.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2020
rights: https://creativecommons.org/licenses/by-nd/4.0/
doi: doi:10.24406/fordatis/87
uri: https://fordatis.fraunhofer.de/handle/fordatis/171
sparql endpoint: sparql

Data for "Machine learning-based sampling of virtual experiments within the full stress state to identify parameters of anisotropic yield models"
has bitstream: data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: 19707 N
projectid: 21466 N
projectid: DFG Projekt-Nr. 415804944
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
projectname: Verbesserte Blechumformsimulation durch 3D-Werkstoffmodelle und erweiterte Schalenformulierungen - Teil 2
projectname: Verbesserte Blechumformsimulation durch 3D-Werkstoffmodelle und erweiterte Schalenformulierungen
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Morand, Lukas
contributor: Helm, Dirk
contributor: Butz, Alexander
contributor: Wessel, Alexander
contributor: Volk, Wolfram
creator: Morand, Lukas
creator: Helm, Dirk
creator: Butz, Alexander
creator: Wessel, Alexander
creator: Volk, Wolfram
date: 2022-11-17T11:44:59Z
language: en
abstract: Data for "Machine learning-based sampling of virtual experiments within the full stress state to identify parameters of anisotropic yield models" by A. Wessel, L. Morand, A. Butz, D. Helm and W. Volk.
available: 2022-11-17T11:44:59Z
has part: data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2022-10-31
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/225
uri: https://fordatis.fraunhofer.de/handle/fordatis/292
sparql endpoint: sparql

Künstliche Intelligenz, Emotionen und Gemeinwesen
has bitstream: Umfragedaten.2018 KIEmGw.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: ITI1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT – anwendungsorientierte Begleitforschung
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2021-07-15T06:25:47Z
language: de
abstract: In der Umfrage geht es um emotionale Assoziationen zu automatisierten Entscheidungen durch Maschinen im Vergleich zu Entscheidungen durch Menschen ebenso wie um die Bewertung des Einsatzes von Künstlicher Intelligenz im Gemeinwesen hinsichtlich positiver oder negativer Effekte auf die Gesellschaft. Für die Umfrage werden neben den Datensätze (sowohl mit Werten als auch mit Label) die Fragebögen mit dem Codeschema bereitgestellt. Zusätzlich werden die von GMS verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
available: 2021-07-15T06:25:47Z
has part: Umfragedaten.2018 KIEmGw.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2021-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/126
uri: https://fordatis.fraunhofer.de/handle/fordatis/200
sparql endpoint: sparql

Korngrößenklassifizierung Ringversuch Datensatz
has bitstream: RoundRobin Steel Micrographs.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
contributor: Durmaz, Ali Riza
contributor: Nützel, Ralf
contributor: Romich, Daniel
contributor: Potu, Sai Teja
creator: Durmaz, Ali Riza
creator: Nützel, Ralf
creator: Romich, Daniel
creator: Potu, Sai Teja
date: 2023-05-22T13:40:45Z
language: en
abstract: The dataset accompanies the publication "Microstructure quality control of steels using deep learning" and contains images used for a round-robin test where multiple metallographers rated images with respect to the present microstructure and grain size.
available: 2023-05-22T13:40:45Z
has part: RoundRobin Steel Micrographs.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2023
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Grain size classification round-robin dataset
doi: doi:10.24406/fordatis/258
uri: https://fordatis.fraunhofer.de/handle/fordatis/321
sparql endpoint: sparql

Discrete element simulation datasets of particle flow in representative unit cells
has bitstream: raw data simple periodic BC.tgz
has bitstream: raw data Lees-Edwards BC.tgz
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
contributor: Bierwisch, Claas
contributor: Morand, Lukas
contributor: Setty, Abhishek
creator: Bierwisch, Claas
creator: Morand, Lukas
creator: Setty, Abhishek
date: 2025-05-20T13:28:06Z
language: en
abstract: This publication contains two datasets of particle flow within representative unit cells, generated using the simulation software SimPARTIX (https://www.simpartix.com/). The datasets are used for evaluating a graph-based interaction-aware particle trajectory prediction model, as detailed in the paper available at https://arxiv.org/pdf/2503.00215. The first dataset, "raw_data_simple_periodic_BC.tgz", includes a unit cell calculation with simple periodic boundary conditions and a sinusoidal velocity profile. The second dataset, "raw_data_Lees-Edwards_BC.tgz", includes a unit cell calculation utilizing Lees-Edwards boundary conditions.
available: 2025-05-20T13:28:06Z
has part: raw data simple periodic BC.tgz
has part: raw data Lees-Edwards BC.tgz
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/397
uri: https://fordatis.fraunhofer.de/handle/fordatis/442
sparql endpoint: sparql

JERRI Preliminary comparision of RTOs
has bitstream: JERRI Preliminary comparision of RTOs.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Teufel, Benjamin
contributor: Joignant, Anne
creator: Teufel, Benjamin
creator: Joignant, Anne
date: 2019-10-25T15:33:08Z
language: en
abstract: This data set contains the results from interviews with researchers from several European Research and Technology Organisations (RTOs). The interviews were conducted within the EU JERRI project and are analyzing existing good RRI practices at several RTOs.
available: 2019-10-25T15:33:08Z
created: 2016
has part: JERRI Preliminary comparision of RTOs.xlsx
is part of: urn:nbn:de:0011-n-4976883
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/31
uri: https://fordatis.fraunhofer.de/handle/fordatis/115
sparql endpoint: sparql

Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models
has bitstream: Evaluation VulnDuT.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
contributor: Morawetz, Martin
contributor: Pfrang, Steffen
contributor: Borcherding, Anne
creator: Morawetz, Martin
creator: Pfrang, Steffen
creator: Borcherding, Anne
date: 2023-09-11T12:56:28Z
language: en
abstract: Data collected during the evaluation of the paper "Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models". In our publication, we presented an approach to bridge the gap between existing gray box fuzzing strategies and the real-world black box setting of fuzzing industrial control systems. This repository contains the data that was generated during our evaluation and was used to generate the corresponding figures in our paper. The Jupyter Notebook that we used to generate the figures based on this dataset can be found on GitHub: https://github.com/anneborcherding/Smarter-Evolution
available: 2023-09-11T12:56:28Z
has part: Evaluation VulnDuT.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2023
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/285
uri: https://fordatis.fraunhofer.de/handle/fordatis/345
sparql endpoint: sparql

Comparative Analysis and Numerical Stability Assessment of Jiles-Atherton Model Variants (Source Code Release)
has bitstream: JAModel Jiles86.m
has bitstream: JAModel Jiles94.m
has bitstream: JAModel Jiles92.m
has bitstream: AUSWERTUNG epsilon Einzelmodell.m
has bitstream: AUSWERTUNG epsilon Modellvergleich.m
has bitstream: JAModel Thieltges25.m
has bitstream: MAIN.m
has bitstream: JAModel Cheng18.m
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
institute: IZFP Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren
rawdata: false
contributor: Thieltges, Sascha
contributor: Hartmann, Uwe
creator: Thieltges, Sascha
date: 2025-11-26T12:14:19Z
language: en
abstract: This repository provides the full source code and datasets used to compare multiple Jiles–Atherton (JA) hysteresis model variants, including Jiles86, Jiles92, Jiles94, Bergqvist96, Annakkage00, Cheng18, and Xue22. The material contains the numerical framework for computing complete B(H) cycles using a Runge–Kutta integration scheme, the stability assessment across 300 consecutive cycles, and the RMSE-based evaluation of convergence behavior under soft- and hard-magnetic parameter sets. The code enables full reproducibility of the model comparison, including parameter handling, cycle generation, and visualization tools.
available: 2025-11-26T12:14:19Z
has part: JAModel Jiles86.m
has part: JAModel Jiles94.m
has part: JAModel Jiles92.m
has part: AUSWERTUNG epsilon Einzelmodell.m
has part: AUSWERTUNG epsilon Modellvergleich.m
has part: JAModel Thieltges25.m
has part: MAIN.m
has part: JAModel Cheng18.m
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/19
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/423
uri: https://fordatis.fraunhofer.de/handle/fordatis/466
sparql endpoint: sparql

Complex refractive indices of Spiro-TTB and C60
has bitstream: nk C60.txt
has bitstream: nk Spiro TTB.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/34
doi: https://doi.org/10.1364/OE.458953
issue: 21
issued: 2022-09-29
journaltitle: Optics Express
originalpublishername: OSA
volume: 30
group: Produktion
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
institute: IST Fraunhofer-Institut für Schicht- und Oberflächentechnik
rawdata: true
funding programme: Fraunhofer LIGHTHOUSE PROJECT
projectacronym: MANITU
projectname: Materialien für Nachhaltige Tandemsolarzellen mit höchster Umwandlungseffizienz
contributor: Fraunhofer-Gesellschaft FhG
contributor: Goldschmidt, Jan Christoph
contributor: Sittinger, Volker
contributor: Pflug, Andreas
contributor: Schulze, Patricia S.C.
contributor: Messmer, Christoph A.
creator: Goldschmidt, Jan Christoph
creator: Sittinger, Volker
creator: Pflug, Andreas
creator: Schulze, Patricia S.C.
creator: Messmer, Christoph A.
date: 2023-02-23T13:27:48Z
language: en
abstract: Combining spectrophotometry, variable angle spectroscopic ellipsometry, and X-ray reflectometry with an algorithm that simultaneously fits all available spectra we determine the complex refractive index of evaporated Spiro-TTB and C60 layers
available: 2023-02-23T13:27:48Z
has part: nk C60.txt
has part: nk Spiro TTB.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/34
issued: 2022
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/176
uri: https://fordatis.fraunhofer.de/handle/fordatis/248
sparql endpoint: sparql

Unraveling processes in an AWE with reference electrodes and EIS
has bitstream: Measurement data.7z
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/42
group: Werkstoffe, Bauteile
institute: IKTS Fraunhofer-Institut für Keramische Technologien und Systeme
rawdata: true
contributor: Skadell, Karl
contributor: Stelter, Michael
contributor: Plank, Christian
contributor: Odrobina, Jann
contributor: Scholl, Jakob
contributor: Danzer, Michael A.
creator: Skadell, Karl
creator: Stelter, Michael
creator: Plank, Christian
creator: Odrobina, Jann
creator: Scholl, Jakob
creator: Danzer, Michael A.
date: 2025-09-23T09:54:39Z
language: en
abstract: This item contains data from experiments.
available: 2025-09-23T09:54:39Z
has part: Measurement data.7z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/42
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/410
uri: https://fordatis.fraunhofer.de/handle/fordatis/454
sparql endpoint: sparql

CovidRestrict: mobility restrictions in German Federal States in 2020
has bitstream: CovidRestrict.xlsx
has bitstream: Covidrestrict technical paper.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Fraunhofer-Gesellschaft FhG
contributor: Karaulova, Maria
contributor: Kroll, Henning
creator: Karaulova, Maria
creator: Kroll, Henning
date: 2021-07-21T13:01:01Z
language: en
abstract: The CovidRestrict project collected data on mobility-related restrictions that were adopted by the governments of six German Federal States in the first wave of the COVID-19 pandemic (01 January - 31 July 2020). The data also discerns between stringency levels of these regulations.
available: 2021-07-21T13:01:01Z
has part: CovidRestrict.xlsx
has part: Covidrestrict technical paper.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2021-07-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/139
uri: https://fordatis.fraunhofer.de/handle/fordatis/212
sparql endpoint: sparql

In-Situ Stress Magnitude Data from the Greater Ruhr Region (Germany) Derived from Hydrofracturing Tests and Borehole Logs
has bitstream: Stress magnitudes Kruszewski vol2.csv
has bitstream: Stress magnitudes Kruszewski.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
funding programme: Forschung an Fachhochschulen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Heidbach, Oliver
contributor: Kruszewski, Michal
contributor: Klee, Gerd
contributor: Niederhuber, Thomas
contributor: Saenger, Erik H.
contributor: Reinsch, Thomas
creator: Heidbach, Oliver
creator: Kruszewski, Michal
creator: Klee, Gerd
creator: Niederhuber, Thomas
date: 2022-10-05T06:10:53Z
language: en
abstract: This compilation presents in-situ stress magnitudes derived from hydrofracturing tests and borehole logs carried out in six, now abandoned, coal mines and two coal bed methane boreholes at depths between 600 and 1950 m within the greater Ruhr region in western Germany. All stress information was analysed and compiled in a standardized format and quality-ranked, using the established quality ranking schemes of the World Stress Map (WSM) project, for reliability and comparability. The compilation displays A-C quality of in-situ stress orientation data records. The database presented here is the world's largest public database of stress magnitudes from a single region and presents unique and high-quality stress input data for future reservoir and geomechanical numerical models and should aid the subsurface operations in the region. This dataset supplements the Stress Magnitude Database of Germany (https://doi.org/10.5880/wsm.2020.004) with additional 429 data records, doubling the amount of available stress data records for Germany from 568 to 997. More detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at http://www.world-stress-map.org.
available: 2022-06-07T14:37:20Z
available: 2022-10-05T06:10:53Z
has part: Stress magnitudes Kruszewski vol2.csv
has part: Stress magnitudes Kruszewski.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2022-06-03
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/201.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/272.2
sparql endpoint: sparql

TAKAI Team‐Arbeit‐Kontext‐Analyse Inventar
has bitstream: TAKAI Beispielitems.docx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
projectacronym: SPELL
projectid: 01MK21005B
projectname: Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren
contributor: Elsenbast, Christian
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Lengen, Rolf van
creator: Elsenbast, Christian
date: 2023-06-28T12:14:19Z
language: de
language: en
abstract: Das Team‐Arbeit‐Kontext‐Analyse Inventar nach Hagemann et al. dient zur Erhebung des Arbeitskontextes von High-Responsibility-Teams. @de
abstract: The Team Work Context Analysis Inventory (Hagemann et al.) is designed to assess the work context of high responsibility teams.
available: 2023-06-28T12:14:19Z
has part: TAKAI Beispielitems.docx
is part of: 10.24406/fordatis/247
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2023-06-06
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/271
uri: https://fordatis.fraunhofer.de/handle/fordatis/333
sparql endpoint: sparql

„Once Only“ – Digitale Verwaltung
has bitstream: OnceOnly.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: ITI1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT – anwendungsorientierte Begleitforschung
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2023-12-18T09:02:12Z
language: de
abstract: In dieser Umfrage geht es um die Haltung der Befragen zur (digitalen) öffentlichen Verwaltung und dabei insbesondere um das „Once Only“-Prinzip, also die Idee, dass Bürger:innen ihre Daten nur einmalig an die Verwaltung übermitteln und diese dann zwischen unterschiedlichen Akteuren ausgetauscht werden. Die Fragen drehen sich um die Akzeptanz von Once Only, die Freigabe von Informationen an Unternehmen sowie die Wünsche bezüglich Transparenz und Kontrolle über den Datenfluss. Es werden Unterschiede in der Akzeptanz hinsichtlich verschiedener Arten persönlicher Daten, bspw. Finanzdaten oder Gesundheitsdaten, sowie hinsichtlich verschiedener Szenarien, bspw. Umzüge oder Geburten, abgefragt. Für die Umfrage wird neben dem Datensatz (in zwei Versionen: sowohl mit Werten als auch mit Label) auch der Fragebogen mit dem Codeschema bereitgestellt. Zusätzlich werden die vom Dienstleister verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
alternative: ÖFIT Bevölkerungsumfrage 2019
available: 2023-12-18T09:02:12Z
has part: OnceOnly.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2023-11
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/311
uri: https://fordatis.fraunhofer.de/handle/fordatis/369
sparql endpoint: sparql

Forschungsdatenmanagement in der Fraunhofer-Gesellschaft
has bitstream: Druckversion Forschungsdatenmgmt Fragebogen.pdf
has bitstream: Umfrage Forschungsdatenmanagement.docx
has bitstream: Auswertung Umfrage FORDATIS.pdf
has bitstream: Forschungsdatenmanagment bei Fraunhofer.pdf
has bitstream: Freitext Antworten.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/11
group: Innovationsforschung
institute: IRB Fraunhofer-Informationszentrum Raum und Bau
rawdata: false
funding programme: EU 5.C.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: Wuchner, Andrea
contributor: EC
creator: Wuchner, Andrea
date: 2019-09-26T11:06:26Z
language: de
abstract: This data set contains data from a survey on research data management which was conducted within the Fraunhofer-Gesellschaft. The survey was carried out c between 3rd March 2017 and 21th March 2017. The Survey was one result of the project FORDATIS – Forschungsdateninfrastruktur. The aim of this project was to establish an infrastructure for research data management at the Fraunhofer-Gesellschaft. Researchers, information managers, and IT managers of all institutes of the Fraunhofer-Gesellschaft were invited to take part in the survey. The aim was to find out how research data is handled at the institutes, and which services already exist in the field of research data management, and to identify further requirements. A total of 235 questionnaires were evaluated, 182 by scientists, 34 by technical information managers and 19 by IT managers. The dataset consists of four parts: 1) the questionnaire underlying the survey 2) the answers to closed questions (raw data) 3) the answers to free questions (raw data, anonymized) 4) a compilation of all results. Answers and comments on the free text fields are included here.
abstract: Der vorliegende Datensatz enthält Daten aus einer Umfrage, die innerhalb der Fraunhofer-Gesellschaft zum Thema Forschungsdatenmanagement durchgeführt wurde. Die Umfrage wurde zwischen dem 07.03.2017 und dem 22.03.2017 durchgeführt. Sie ist ein Ergebnis des Projekts FORDATIS – Forschungsdateninfrastruktur, das sich mit dem Aufbau einer Forschungsdateninfrastruktur in der Fraunhofer-Gesellschaft befasste. Befragt wurden Wissenschaftlerinnen und Wissenschaftler, Fachinformationsmanager und IT-Manager aller Institute der Fraunhofer-Gesellschaft. Ziel war es herauszufinden, wie mit Forschungsdaten an den Instituten umgegangen wird, welche Services es im Bereich Forschungsdatenmanagement bereits gibt, und welche weiteren Bedarfe bestehen. Insgesamt wurden 235 Fragebögen ausgewertet, 182 davon von Wissenschaftlern, 34 von Fachinformationsmanagern und 19 von IT-Managern. Der Forschungsdatensatz besteht aus vier Teilen: 1) dem Fragebogen, der der Umfrage zu Grunde liegt 2) die Antworten auf geschlossene Fragen (Rohdaten) 3) die Antworten auf freie Fragen (Rohdaten, anonymisiert) 4) eine Zusammenstellung aller Ergebnisse. Antworten und Kommentare zu den Freitext-Feldern sind hier in Auswahl enthalten. @de
available: 2019-09-26T11:06:26Z
created: 2017-03
has part: Druckversion Forschungsdatenmgmt Fragebogen.pdf
has part: Umfrage Forschungsdatenmanagement.docx
has part: Auswertung Umfrage FORDATIS.pdf
has part: Forschungsdatenmanagment bei Fraunhofer.pdf
has part: Freitext Antworten.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/11
issued: 2019-09-26
rights: https://creativecommons.org/licenses/by/4.0/
title: Research data management within Fraunhofer-Gesellschaft
doi: doi:10.24406/fordatis/21
uri: https://fordatis.fraunhofer.de/handle/fordatis/103
sparql endpoint: sparql

Experimental and Computational Micromechanical Fatigue Damage Initiation Data
has bitstream: macro P8 new.odb
has bitstream: specimen geom bc.zip
has bitstream: image time series.mat
has bitstream: RVE.7z.001
has bitstream: image time series red.mat
has bitstream: RVE.7z.002
has bitstream: fatigue data red.mat
has bitstream: ebsd.ang
has bitstream: fatigue data.mat
has bitstream: foreground mask.mat
has bitstream: threshold mask.mat
has bitstream: macroscopic testing.zip
has bitstream: Mesh.inp
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
contributor: Gumbsch, Peter
contributor: Eberl, Chris
contributor: Durmaz, Ali Riza
contributor: Natkowski, Erik
creator: Durmaz, Ali Riza
creator: Natkowski, Erik
date: 2021-11-10T14:03:54Z
language: en
abstract: A dataset composed of experimental and computational data for microstructure-sensitive fatigue modeling. Micromechanical fatigue testing in the very high cycle fatigue regime, complementary analytical techniques (SEM, EBSD), multimodal data registration, deep learning damage segmentation, and crystal plasticity finite element method techniques were applied to create this dataset.
available: 2021-11-10T14:03:54Z
has part: macro P8 new.odb
has part: specimen geom bc.zip
has part: image time series.mat
has part: RVE.7z.001
has part: image time series red.mat
has part: RVE.7z.002
has part: fatigue data red.mat
has part: ebsd.ang
has part: fatigue data.mat
has part: foreground mask.mat
has part: threshold mask.mat
has part: macroscopic testing.zip
has part: Mesh.inp
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021
modified: 2021-09-24T07:27:05Z
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/151
uri: https://fordatis.fraunhofer.de/handle/fordatis/224
sparql endpoint: sparql

BioMates - Mapping of samples – Deliverables in WP1: Novel pyrolysis oil from non-food/feed biomass
has bitstream: DMP 4 FhG SampleMapping Deliverables WP1.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
institute: UMSICHT Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik
rawdata: false
funding programme: LCE-08-2016-2017 "Development of next generation biofuel technologies"
research framework programm: Horizon 2020
projectacronym: BioMates
projectid: 727463
projectname: Reliable Bio-based Refinery Intermediates
contributor: European Commission EC
contributor: Heil, Volker
creator: Heil, Volker
date: 2022-02-28T06:48:30Z
language: en
abstract: In the H2020-project BioMates (www.biomates.eu, Grant Agreement No. 727463), Fraunhofer UMSICHT produced samples from ablative fast pyrolysis of herbaceous biomass in a TRL 4-plant. A dedicated document provides identifiers for relevant liquid samples and their blends (DOI: 10.24406/fordatis/156). The document at hand maps it to the substances reported to be used in the deliverables connected to Work Package 1 “Novel pyrolysis oil from non-food/feed biomass” of the BioMates-project.
available: 2022-02-28T06:48:30Z
has part: DMP 4 FhG SampleMapping Deliverables WP1.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
issued: 2022-02-18
references: BioMates-Deliverable D1.2 "Advanced-AFP products from straw & miscanthus", Version 02 - https://s.fhg.de/BioMates-Cordis-D01-02
references: BioMates-Deliverable D1.1 "Straight-run AFP products from straw & miscanthus", Version 01 - https://s.fhg.de/BioMates-Cordis-D01-01
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
title: BioMates - Probenzuordnung - Deliverables in Arbeitspaket 1: Neuartiges Pyrolyseöl aus Biomasse ohne Futter- und Nahrungskonkurrenz
doi: doi:10.24406/fordatis/177
uri: https://fordatis.fraunhofer.de/handle/fordatis/249
sparql endpoint: sparql

Kompaktmodell für einen Einzelelektronentransistor in einer geschichteten Nanosäule - Implementierungen in HSPICE und EXCEL/VBA
has bitstream: SET-HSPICE-implementation.zip
has bitstream: SET-EXCEL-VBA-implementation.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/47
institute: IISB Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie
rawdata: false
funding programme: ICT-25/2015: Generic micro- and nano-electronic technologies
research framework programm: Horizon 2020
projectacronym: IONS4SET
projectid: 688072
projectname: Ion-irradiation-induced Si Nanodot Self-Assembly for Hybrid SET-CMOS Technology
contributor: European Commission EC
contributor: Klüpfel, Fabian J.
contributor: Pichler, Peter
creator: Klüpfel, Fabian J.
creator: Pichler, Peter
date: 2021-02-18T11:56:58Z
language: en
abstract: Within the European Project IONS4SET a compact model for a single electron transistor (SET) was developed. The SET is formed by a silicon nanodot embedded in a silicon dioxide layer between two highly doped silicon electrodes. Here, the implementation of the compact model in HSPICE is provided for circuit simulation. In addition, a VBA implementation into Excel is provided which can be used to calculate circuit characterisitcs and stability diagrams.
available: 2021-02-15T14:35:08Z
available: 2021-02-18T11:56:58Z
has part: SET-HSPICE-implementation.zip
has part: SET-EXCEL-VBA-implementation.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/47
issued: 2021-01
references: 10.1109/ACCESS.2019.2924913
rights: https://creativecommons.org/licenses/by/4.0/
title: Compact Model for a Silicon Single Electron Transistor in a Stacked Nanopillar - Implementations in HSPICE and EXCEL/VBA
doi: doi:10.24406/fordatis/116.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/190.2
sparql endpoint: sparql

Automatic Deduction of the Impact of Context Variability on System Safety Goals - Supplementary Material for EDCC 2024 Paper
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/126
group: IUK-Technologie
institute: IKS Fraunhofer-Institut für Kognitive Systeme
rawdata: false
projectacronym: safe.trAIn
projectname: Sichere KI am Beispiel fahrerloser Regionalzug
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Kreutz, Andreas
creator: Kreutz, Andreas
date: 2023-10-19T13:13:32Z
language: en
abstract: Supplementary material for the evaluation section of a publication at EDCC 2024. The data consists of four images: "1-taxonomy.png" shows a taxonomy of variability in the railway domain. "2-contextual-SCT.png" shows a contextual safety concept tree to argue the fulfillment of the safety goal "No train derailments". The sub-tree that is used in the earlier parts of the paper is marked in grey. "3-context-assumption-formulas.png" shows the refinements of the contextual assumptions used in the contextual safety concept tree, based on elements from the taxonomy of variability. "4-odd_definition.png" shows the mathematical definition of three Operational Design Domains for an Automated Train Operation System, again referencing the taxonomy of variability.
available: 2023-10-19T13:13:32Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/126
issued: 2023-10
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/292
uri: https://fordatis.fraunhofer.de/handle/fordatis/350
sparql endpoint: sparql

Datenkompetenz in kommunalen Verwaltungen
has bitstream: AH 1-2 Stakeholderanalyse-Matrix.pptx
has bitstream: AH 5-3 Tabelle Metadaten.pptx
has bitstream: AH 2-2 Tabelle Datenbestaende-Akteure-Rollen.xlsx
has bitstream: AH 4-1 Messung Datenqualitaet.pptx
has bitstream: AH 5-2 Prozessmodellierung RACI.pptx
has bitstream: AH 6-2 Priorisierung Datendomaenen.pptx
has bitstream: AH 2-1 Fragenkatalog Referenzrahmen.rtf
has bitstream: AH 1-4 Dokumentation zentraler Aspekte Netzwerkbildung.pptx
has bitstream: AH 3-3 Anwendungsfall-Datenobjekt Tabelle.pptx
has bitstream: AH 1-3 Planungshilfe konkretes Vorgehen.pptx
has bitstream: AH 6-1 Strategie-Canvas.pptx
has bitstream: AH 3-1 BSP Anwendungsfallbeschreibung fuer Entscheider.pptx
has bitstream: AH 2-1 Fragenkatalog Referenzrahmen.docx
has bitstream: AH 3-3 Anwendungsfall-Tabelle Leer.xlsx
has bitstream: Alle Arbeitshilfen.pptx
has bitstream: AH 3-2 Anwendungsfall-Detailansicht.pptx
has bitstream: AH 1-1 Operationalisierung des Referenzrahmens.pptx
has bitstream: AH 5-1 Fragenkatalog Datenlebenszyklus.pptx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
institute: IAO Fraunhofer-Institut für Arbeitswirtschaft und Organisation
rawdata: false
funding programme: Experimenteller Wohnungs- und Städtebau (ExWoSt)
projectacronym: KoDaKo
projectname: Digitale Stadt gemeinwohlorientiert gestalten durch kommunale Datenkompetenzen
contributor: Sautter, Johannes
contributor: Braun, Steffen
contributor: Dobrokhotova, Ekaterina
contributor: Lindner, Maximilian
contributor: Schüle, Ralf
contributor: Seick, Jens-Peter
contributor: Kirchner, Joel
contributor: Lödige, Michaela
contributor: Bundesinstitut für Bau-, Stadt- und Raumforschung BBSR (Deutschland)
creator: Sautter, Johannes
creator: Braun, Steffen
creator: Dobrokhotova, Ekaterina
creator: Lindner, Maximilian
creator: Seick, Jens-Peter
creator: Kirchner, Joel
creator: Lödige, Michaela
date: 2024-09-17T09:43:10Z
language: de
abstract: Abbildungen zu und Arbeithilfen für die Entwicklung kommunaler Datenkompetenz @de
alternative: Vorgehensmodell und Referenzrahmen für strategisches Handeln - ein Handlungsleitfaden für die kommunale Praxis
available: 2024-09-17T09:43:10Z
has part: AH 1-2 Stakeholderanalyse-Matrix.pptx
has part: AH 5-3 Tabelle Metadaten.pptx
has part: AH 2-2 Tabelle Datenbestaende-Akteure-Rollen.xlsx

JERRI International interviews
has bitstream: JERRI International Interviews.docx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Fan, Cheng
contributor: Daimer , Stephanie
contributor: Berghäuser, Hendrik
creator: Fan, Cheng
creator: Daimer , Stephanie
creator: Berghäuser, Hendrik
date: 2019-10-25T14:07:03Z
language: en
abstract: The data set contains the results from interviews that were carried as part of the International Case Studies for the JERRI project. The interviews aimed to analyse RRI-related practices at the Arizona State University (ASU), to learn from their experiences as inputs for shaping the transformation process of FhG and TNO towards RRI.
available: 2019-10-25T14:07:03Z
has part: JERRI International Interviews.docx
is part of: urn:nbn:de:0011-n-5617663
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/36
uri: https://fordatis.fraunhofer.de/handle/fordatis/120
sparql endpoint: sparql

Supplementary Materials for Capacitive Dosing using an Alternating Drive Mechanism and Micro Pumps
has bitstream: Supplementary Materials.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
funding programme: H2020-ECSEL-2019-1-IA
research framework programm: Horizon 2020
projectacronym: Moore4Medical
projectid: 876190
projectname: Accelerating Innovation in Microfabricated Medical Devices
contributor: Thalhofer, Thomas
contributor: Kibler, Sebastian
contributor: Keck, Mauro
creator: Thalhofer, Thomas
date: 2022-01-17T07:23:35Z
language: de
abstract: Raw data of the experiments for a capacitive sensor for microfluidic applications, (capacitance sensor and scale data), videos showing a mixing process inside the channel.
available: 2022-01-17T07:23:35Z
has part: Supplementary Materials.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2022
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/168
uri: https://fordatis.fraunhofer.de/handle/fordatis/241
sparql endpoint: sparql

Data sets for paper and SM: Magnetic-field-dependent stimulated emission from nitrogen-vacancy centres in diamond
has bitstream: Fig4D.csv
has bitstream: Fig3.csv
has bitstream: Fig4C.csv
has bitstream: FigS3B.csv
has bitstream: FigS8B.csv
has bitstream: FigS7B.csv
has bitstream: Fig2.csv
has bitstream: FigS6.csv
has bitstream: FigS1.csv
has bitstream: Fig5.csv
has bitstream: Fig4A.csv
has bitstream: FigS4B.csv
has bitstream: FigS2.csv
has bitstream: Fig2C XY.csv
has bitstream: Fig4B XY.csv
has bitstream: FigS5.csv
has bitstream: Fig2B.csv
has bitstream: Fig2C Z.csv
has bitstream: Fig4B Z.csv
has bitstream: FigS7A.csv
has bitstream: FigS4A.csv
has bitstream: Fig2 inset.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/4
institute: IAF Fraunhofer-Institut für Angewandte Festkörperphysik
rawdata: false
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Hahl, Felix
creator: Hahl, Felix
date: 2022-03-18T06:02:44Z
language: en
abstract: Data presented in the figures of the research article and Supplementary Materials of: Magnetic-field-dependent stimulated emission from nitrogen-vacancy centres in diamond
available: 2022-03-18T06:02:44Z
has part: Fig4D.csv
has part: Fig3.csv
has part: Fig4C.csv
has part: FigS3B.csv
has part: FigS8B.csv
has part: FigS7B.csv
has part: Fig2.csv
has part: FigS6.csv
has part: FigS1.csv
has part: Fig5.csv
has part: Fig4A.csv
has part: FigS4B.csv
has part: FigS2.csv
has part: Fig2C XY.csv
has part: Fig4B XY.csv
has part: FigS5.csv
has part: Fig2B.csv
has part: Fig2C Z.csv
has part: Fig4B Z.csv
has part: FigS7A.csv
has part: FigS4A.csv
has part: Fig2 inset.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/4
issued: 2022
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/181
uri: https://fordatis.fraunhofer.de/handle/fordatis/253
sparql endpoint: sparql

https://fordatis.fraunhofer.de/rdf/resource/fordatis/386
has bitstream: 3. Zustandsbeschreibung und Einschätzung.xlsx
has bitstream: 4. Ergänzende Informationen im Rückfrageprozess .xlsx
has bitstream: 1.Einordnung Einstiegsgrund.xlsx
has bitstream: 7. Sechs Schritte der qualitativen Inhaltsanalyse.docx
has bitstream: 8. Semantisches Kategorienkonstrukt.docx
has bitstream: 2. Ergänzende Informationen zu Einstiegsgründen.xlsx
has bitstream: 6. Randomisierungsliste.xlsx
has bitstream: 5. Erfassung und Einschätzung des aktuellen Zustandes .xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
projectacronym: SPELL
projectid: 01MK21005B
projectname: Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren
contributor: Elsenbast, Christian
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Hippler, Barbara
contributor: Blaschke, Fred
contributor: Maletzki, Carsten
contributor: Ristau, Patrick
creator: Elsenbast, Christian
creator: Hippler, Barbara
date: 2024-02-21T12:26:51Z
language: de
abstract: Rettungsleitstellen sehen sich mit steigenden Herausforderungen durch kontinuierlich steigende Notrufzahlen konfrontiert. Zur besseren Strukturierung und Priorisierung der Notrufgespräche werden vielerorts standardisierte Abfragesysteme implementiert. Aktuelle Entwicklungen im Bereich der künstlichen Intelligenz eröffnen neue Möglichkeiten der Entscheidungsunterstützung von Disponierenden. Voraussetzung hierfür ist ein prozesshaftes Modell des Notrufdialogs. Anbei finden sich das Zusatzmaterial zur Forschung. @de
alternative: The reasons for calls in medical emergencies: Development of a structured semantic model based on a randomised sample of medical assistance calls from an integrated rescue coordination centre
available: 2024-02-21T12:26:51Z
has part: 3. Zustandsbeschreibung und Einschätzung.xlsx
has part: 4. Ergänzende Informationen im Rückfrageprozess .xlsx
has part: 1.Einordnung Einstiegsgrund.xlsx
has part: 7. Sechs Schritte der qualitativen Inhaltsanalyse.docx
has part: 8. Semantisches Kategorienkonstrukt.docx
has part: 2. Ergänzende Informationen zu Einstiegsgründen.xlsx
has part: 6. Randomisierungsliste.xlsx
has part: 5. Erfassung und Einschätzung des aktuellen Zustandes .xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2022-02-19
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Anrufgründe bei medizinischen Notfällen: Entwicklung eines strukturierten semantischen Modells auf Basis einer randomisierten Stichprobe medizinischer Hilfeersuche einer integrierten Rettungsleitstelle
doi: doi:10.24406/fordatis/331
uri: https://fordatis.fraunhofer.de/handle/fordatis/386
sparql endpoint: sparql

Digitale Kompetenzen
has bitstream: Archiv.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: IT 1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2020-08-13T07:39:26Z
language: de
abstract: In der Umfrage zu digitalen Kompetenzen geht es allgemein um die Nutzung von Internet Anwendungen im Internet, wie häufig das Internet für verschiedene Zwecke genutzt wird, Emotionen bei der Nutzung des Internets, um die Selbsteinschätzung zu digitalen Kompetenzen und um Informationsquellen über die Nutzung von Internetanwendungen. Das Kompetenzzentrum Öffentliche Informationstechnologie (ÖFIT) versteht sich als Ansprechpartner und Denkfabrik für Fragen der öffentlichen IT und untersucht staatliche Gestaltungs- und Regulierungsanforderungen zur Digitalisierung im öffentlichen Raum. Es handelt sich bei dieser Veröffentlichung um Daten einer Bevölkerungsumfrage zu Digitalpolitik und digitalem Engagement, die von der GMS Dr. Jung GmbH Gesellschaft für Markt- und Sozialforschung im Auftrag des Kompetenzzentrums Öffentliche IT (ÖFIT) von November bis Dezember 2017 durchgeführt wurden. Mit der Veröffentlichung der Umfragedaten wollen wir diese der Forschungsgemeinschaft zur Nachnutzung für weitere Forschungszwecke bereitstellen. @de
alternative: ÖFIT Bevölkerungsumfrage 2017
available: 2020-08-13T07:39:26Z
created: 2017-12
has part: Archiv.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2020-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/84
uri: https://fordatis.fraunhofer.de/handle/fordatis/168
sparql endpoint: sparql

Truck Component Simulation Meshes and Synthetic LiDAR Measurements
has bitstream: README.txt
has bitstream: simulations.zip
has bitstream: experiments.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
institute: SCAI Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen
rawdata: false
contributor: Garcke, Jochen
contributor: Iza-Teran, Rodrigo
contributor: Hahner, Sara
creator: Garcke, Jochen
creator: Iza-Teran, Rodrigo
creator: Hahner, Sara
date: 2022-12-15T06:50:27Z
language: en
abstract: This is the synthetic dataset from the paper: Jochen Garcke, Sara Hahner, and Rodrigo Iza-Teran. "Alignment of Highly Resolved Time-Dependent Experimental and Simulated Crash Test Data". In: International Journal of Crashworthiness. The work compares highly resolved experimental data with corresponding simulation data. The dataset contains one component from several completed frontal crash simulations of a Chevrolet C2500 pick-up truck model (from National Crash Analysis Center (NCAC)). Additionally, we provide our LiDAR measurements of the component. The data, which is provided here, is described in detail in section 5.3 of the paper.
available: 2022-12-15T06:50:27Z
has part: README.txt
has part: simulations.zip
has part: experiments.zip
is part of: 10.1080/13588265.2022.2131078
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
issued: 2022
references: http://web.archive.org/web/20160110143219/www.ncac.gwu.edu/vml/models.html
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/220
uri: https://fordatis.fraunhofer.de/handle/fordatis/289
sparql endpoint: sparql

MANTRA: Graph-based information aggregation to improve cybersecurity management in critical infrastructures
has bitstream: MANTRA Personas v1.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
group: Innovationsforschung
group: IUK-Technologie
institute: IAO Fraunhofer-Institut für Arbeitswirtschaft und Organisation
rawdata: false
funding programme: Forschung und Entwicklung von Fähigkeiten im Hinblick auf existenzbedrohende Risiken aus dem Cyber- und Informationsraum für Hochsicherheit in sicherheitskritischen und verteidigungsrelevanten Szenarien (HSK)
projectacronym: MANTRA
projectname: Graphen-basierte Informationsaggregation zur Verbesserung des Cybersicherheitsmanagements in kritischen Infrastrukturen
contributor: Kubach, Michael
contributor: Horch, Andrea
creator: Kubach, Michael
creator: Horch, Andrea
date: 2024-09-11T13:34:48Z
language: de
abstract: Personas erstellt im Rahmen des MANTRA Projektes (Graphen-basierte Informationsaggregation zur Verbesserung des Cybersicherheitsmanagements in kritischen Infrastrukturen). Die Personas wurden erstellt auf der Basis von Interviews mit Expert:innen und potenziellen Anwender:innen der MANTRA Lösung. @de
abstract: Personas created as part of the MANTRA project (graph-based information aggregation to improve cybersecurity management in critical infrastructures). The personas were created on the basis of interviews with experts and potential users of the MANTRA solution.
alternative: MANTRA: Graphen-basierte Informationsaggregation zur Verbesserung des Cybersicherheitsmanagements in kritischen Infrastrukturen
available: 2024-09-11T13:34:48Z
has part: MANTRA Personas v1.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
issued: 2024-09
rights: http://rightsstatements.org/vocab/InC/1.0/
title: Personas aus dem Forschungsprojekt MANTRA
title: Personas from the MANTRA research project
doi: doi:10.24406/fordatis/366
uri: https://fordatis.fraunhofer.de/handle/fordatis/416
sparql endpoint: sparql

Crystallographic texture-property data set originating from a simulated multi-step metal forming process
has bitstream: Readme.txt
has bitstream: idx train.txt
has bitstream: orientations.npy
has bitstream: idx test.txt
has bitstream: properties.npy
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: true
projectid: 415804944
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Iraki, Tarek
contributor: Morand, Lukas
contributor: Helm, Dirk
creator: Iraki, Tarek
creator: Morand, Lukas
creator: Helm, Dirk
date: 2023-07-20T12:45:27Z
language: en
abstract: This publication contains a set of 76980 samples of crystallographic textures (as lists of orientations) and corresponding properties (Youngs modulus E and an anisotropy measure R*, similar to the Lankford coefficients, in three room directions). The data originates from a simulated multi-step metal forming process. The simulation was constrained to perform seven successive process steps of 10% strain at the material point in different directions. In each step, the orientation of the tension operation is chosen randomly from a set of 25 uniformly distributed orientations in the orientation space SO(3).
available: 2023-07-20T12:45:27Z
has part: Readme.txt
has part: idx train.txt
has part: orientations.npy
has part: idx test.txt
has part: properties.npy
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/256
uri: https://fordatis.fraunhofer.de/handle/fordatis/319
sparql endpoint: sparql

Representative study of investment decisions in alternative vehicles - Survey and choice experiment
has bitstream: CBC Ober Nutzenwerte final.xlsx
has bitstream: CBC Mittel Nutzenwerte final.xlsx
has bitstream: E-Mob Datensatz formatiert fordatis.sav
has bitstream: E-Mob Datensatz fordatis.sav
has bitstream: CBC Kompakt Nutzenwerte final.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: Energiesystemanalyse
research framework programm: 6. Energieforschungsprogramm
projectacronym: Sozio-E2S
projectid: 03ET4041A
projectname: Open source Energiesystemmodellierung – Einfluss von soziokulturellen Faktoren auf Transformationspfade des deutschen Energiesystems
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Killinger, Sven
contributor: Steingrube, Annette
contributor: Baumann, Daniel
contributor: Berneiser, Jessica
contributor: Senkpiel, Charlotte
creator: Berneiser, Jessica
creator: Senkpiel, Charlotte
date: 2020-03-12T13:22:58Z
language: de
abstract: Der Datensatz umfasst Daten einer repräsentativen empirischen Erhebung, bei der das Investitionsverhalten von Privatpersonen in alternative Antriebe bei der Wahl eines Neuwagens untersucht wurde. Es wurde eine Kombination aus Fragebogen und Discrete Choice Experiment (DCE) gewählt. Das DCE wurde mittels Hierarchical Bayes ausgewertet. Die Werte in den DCE Excelblättern sind Nutzenwerte. Neben investitionsrelevanter Faktoren wurden Daten zum Mobilitätsverhalten und zur Unterstützung politischer Maßnahmen erhoben. @de
alternative: Fragebogen und Discrete Choice Experiment
available: 2020-03-12T13:22:58Z
created: 2018-10
has part: CBC Ober Nutzenwerte final.xlsx
has part: CBC Mittel Nutzenwerte final.xlsx
has part: E-Mob Datensatz formatiert fordatis.sav
has part: E-Mob Datensatz fordatis.sav
has part: CBC Kompakt Nutzenwerte final.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-03-10
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
title: Repräsentative empirische Erhebung zur Investitionsbereitschaft in alternative Antriebe
doi: doi:10.24406/fordatis/11
uri: https://fordatis.fraunhofer.de/handle/fordatis/92
sparql endpoint: sparql

RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)
has bitstream: synthetic.zip
has bitstream: plot spectrograms.py
has bitstream: files train.json
has bitstream: vuorenmaa.zip
has bitstream: basak.zip
has bitstream: files eval.json
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/66
group: Verteidigungs- und Sicherheitsforschung
institute: FKIE Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie
rawdata: false
contributor: Henneke, Lukas
contributor: Kurth, Frank
creator: Henneke, Lukas
date: 2025-10-27T16:23:08Z
language: en
abstract: This dataset supplements the paper "Approaching Domain Generalisation with Embeddings for Robust Discrimination and Recognition of RF Communication Signals" and is composed as follows: (1) The file "synthetic.zip" contains a total of 4,000 synthetically generated signals, created from 1,000 distinct synthetic wireless protocols. For each protocol, 4 signal examples were generated, each consisting of 16,384 samples. These signals represent the training data used for the RF signal embedding models. (2) The file "vuorenmaa.zip" contains signal bursts of various types extracted from the dataset "Radio-Frequency Control and Video Signal Recordings of Drones" (https://doi.org/10.5281/zenodo.4264467; Authors: Miika Vuorenmaa, Jaakko Marin, Mikko Heino, Matias Turunen, & Taneli Riihonen; License: CC BY 4.0 - https://creativecommons.org/licenses/by/4.0/) and is part 1/3 of the evaluation data. (3) The file "basak.zip" contains signal bursts of various types extracted from the dataset "Drone RF Dataset" (https://doi.org/10.48804/HZRVNZ; Authors: Sanjoy Basak, Sofie Pollin & Bart Scheers; License: CC BY-NC 4.0 - https://creativecommons.org/licenses/by-nc/4.0/) and is part 2/3 of the evaluation data. (4) The files "files_train.json" and "files_eval.json" contain the splitting of the evaluation dataset used in section "4.2. Downstream classification task" of the paper. (5) The file "plot_spectrograms.py" shows how to access the signal data using Python and visualizes the training and evaluation data. For the script to work, the contents of all *.zip files must be unzipped and located in the same folder as the Python script and the *.json files. NOTE: Part 3/3 of the evaluation data has been moved to a separate dataset (https://fordatis.fraunhofer.de/handle/fordatis/461) due to incompatible licences.
abstract: Dieser Datensatz ergänzt das Paper „Approaching Domain Generalisation with Embeddings for Robust Discrimination and Recognition of RF Communication Signals“ und setzt sich wie folgt zusammen: (1) Die Datei „synthetic.zip“ enthält insgesamt 4.000 synthetisch erzeugte Signale, die aus 1.000 verschiedenen synthetischen Funkprotokollen erstellt wurden. Für jedes Protokoll wurden 4 Signalbeispiele erzeugt, die jeweils aus 16.384 Samples bestehen. Diese Signale repräsentieren die Trainingsdaten, die für die RF-Signaleinbettungsmodelle verwendet werden. (2) Die Datei „vuorenmaa.zip“ enthält Signalbursts verschiedener Typen, die aus dem Datensatz „Radio-Frequency Control and Video Signal Recordings of Drones“ (https://doi.org/10.5281/zenodo.4264467; Autoren: Miika Vuorenmaa, Jaakko Marin, Mikko Heino, Matias Turunen, & Taneli Riihonen; Lizenz: CC BY 4.0 - https://creativecommons.org/licenses/by/4.0/) und ist Teil 1/3 der Evaluierungsdaten. (3) Die Datei „basak.zip“ enthält Signalbursts verschiedener Typen, die aus dem Datensatz „Drone RF Dataset“ (https://doi.org/10.48804/HZRVNZ; Autoren: Sanjoy Basak, Sofie Pollin & Bart Scheers; Lizenz: CC BY-NC 4.0 - https://creativecommons.org/licenses/by-nc/4.0/) und ist Teil 2/3 der Evaluierungsdaten. (4) Die Dateien „files_train.json“ und „files_eval.json“ enthalten die Aufteilung des Evaluierungsdatensatzes, der in Abschnitt "4.2. Downstream classification task" des Papers verwendet wird. (5) Die Datei „plot_spectrograms.py“ zeigt, wie man mit Python auf die Signaldaten zugreift und visualisiert die Trainings- und Evaluierungsdaten. Damit das Skript funktioniert, muss der Inhalt aller *.zip Dateien extrahiert und in demselben Ordner platziert werden, in dem sich das Python-Skript sowie die *.json Dateien befinden. ANMERKUNG: Teil 3/3 der Evaluierungsdaten wurde in einen separaten Datensatz (https://fordatis.fraunhofer.de/handle/fordatis/461) wegen Lizenz-Inkompabilitäten ausgelagert. @de
available: 2025-10-27T16:23:08Z
has part: synthetic.zip
has part: plot spectrograms.py
has part: files train.json
has part: vuorenmaa.zip
has part: basak.zip
has part: files eval.json
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/66
issued: 2025-10
references: 10.48804/HZRVNZ
references: 10.5281/zenodo.4264467
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/416
uri: https://fordatis.fraunhofer.de/handle/fordatis/460
sparql endpoint: sparql

VIADUCT: Multisector data set for Visual Industrial Anomaly Detection
has bitstream: 15 terminal block B.zip
has bitstream: 35 pink tablet.zip
has bitstream: 23 pipe clamp.zip
has bitstream: 07 d-sub connector.zip
has bitstream: 29 threaded fitting.zip
has bitstream: 22 device box.zip
has bitstream: 25 reinforcing sleeve.zip
has bitstream: 04 battery tray.zip
has bitstream: 47 mains tester.zip
has bitstream: 27 L-fitting.zip
has bitstream: 21 cylinder screw.zip
has bitstream: 08 ethernet connector.zip
has bitstream: 03 3-pole socket housing.zip
has bitstream: 18 raspberry.zip
has bitstream: 02 shredded corn fine.zip
has bitstream: 26 hose screw fitting.zip
has bitstream: 10 PCB.zip
has bitstream: 41 white tablet.zip
has bitstream: 13 socket housing.zip
has bitstream: 17 cherry.zip
has bitstream: 28 key.zip
has bitstream: 43 paperclip.zip
has bitstream: 01 shredded corn medium.zip
has bitstream: 31 valve handle red.zip
has bitstream: 34 oblong pill.zip
has bitstream: 12 rotary encoder.zip
has bitstream: 06 coaxial t-adapter.zip
has bitstream: 44 tack.zip
has bitstream: 38 round pill.zip
has bitstream: 09 joystick.zip
has bitstream: 30 valve handle blue.zip
has bitstream: 33 drill.zip
has bitstream: 32 bone pliers.zip
has bitstream: 16 vibration sensor.zip
has bitstream: 24 pan screw.zip
has bitstream: 42 aluminium plate.zip
has bitstream: 37 retractor.zip
has bitstream: 48 saw blade.zip
has bitstream: 45 damper large.zip
has bitstream: 05 cable end sleeve.zip
has bitstream: 11 ring cable lug.zip
has bitstream: 39 self-tapping bolt.zip
has bitstream: 36 redon needle.zip
has bitstream: 46 damper small.zip
has bitstream: 14 terminal block A.zip
has bitstream: 40 surgical mask.zip
has bitstream: 00 shredded corn rough.zip
has bitstream: 19 strawberry.zip
has bitstream: Datasheet VIADUCT.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
projectacronym: VIADUCT
projectid: 01DK20098
projectname: Verbundprojekt: VIADUCT - Aufwandsverkleinerung von KI Anwendungen in der Industrie durch Reduzierung von Trainingsdaten
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Lehr, Jan
contributor: Philipps, Jan
contributor: Botschen, Maximilian
contributor: Sargsyan, Alik
contributor: Gevorgyan, Shoghik
contributor: Pape, Martin
contributor: Nguyen Hoang, Viet
contributor: Paust, Anna-Maria
creator: Lehr, Jan
creator: Philipps, Jan
creator: Botschen, Maximilian
creator: Sargsyan, Alik
creator: Gevorgyan, Shoghik
creator: Pape, Martin
creator: Nguyen Hoang, Viet
creator: Paust, Anna-Maria
date: 2024-07-09T10:06:29Z
language: en
abstract: VIADUCT data set provides 49 categories of industrial objects with corresponding 135 defect categories.
available: 2024-07-09T10:06:29Z
has part: 15 terminal block B.zip
has part: 35 pink tablet.zip
has part: 23 pipe clamp.zip

Mapping of samples – Fuels from Reliable Bio-based Refinery Intermediates: BioMates, Schulzke et al., 2020, DOI:10.1007/s12649-019-00625-w
has bitstream: DMP 4 SampleMapping Schulzke2021 WasteAndBiomassValorization.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
group: Produktion
institute: UMSICHT Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik
rawdata: false
funding programme: LCE-08-2016-2017 "Development of next generation biofuel technologies"
research framework programm: Horizon 2020
projectacronym: BioMates
projectid: 727463
projectname: Reliable Bio-based Refinery Intermediates
contributor: European Commission EC
contributor: Heil, Volker
contributor: Schulzke, Tim
creator: Heil, Volker
creator: Schulzke, Tim
date: 2022-04-14T05:29:18Z
language: en
abstract: In the H2020-project BioMates (www.biomates.eu, Grant Agreement No. 727463), Fraunhofer UMSICHT produced samples from ablative fast pyrolysis (AFP) of herbaceous biomass in a TRL 4-plant. A dedicated document provides identifiers for relevant liquid samples and their blends (DOI: 10.24406/fordatis/156). The document at hand maps it to the AFP-derived substances reported to be used in the article "T. Schulzke, S. Conrad, B. Shumeiko, M. Auersvald, D. Kubička, L. F. J. M. Raymakers; Fuels from Reliable Bio-based Refinery Intermediates: BioMates; Waste and Biomass Valorization (2020) 11:579–598; DOI:10.1007/s12649-019-00625-w", and provides further identifiers for samples not indexed earlier.
available: 2022-04-14T05:29:18Z
has part: DMP 4 SampleMapping Schulzke2021 WasteAndBiomassValorization.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
issued: 2022-04-11
references: 10.24406/fordatis/156
references: 10.24406/fordatis/167
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/195
uri: https://fordatis.fraunhofer.de/handle/fordatis/266
sparql endpoint: sparql

JERRI Interviews barriers TNO
has bitstream: JERRI Intervies barriers TNO.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Röß, Andreas
contributor: Nauta, Joram
contributor: Steen, Marc
creator: Röß, Andreas
creator: Nauta, Joram
creator: Steen, Marc
date: 2019-10-25T13:38:04Z
language: en
abstract: This data set contains the results from interviews with TNO members concerning barriers and enablers of organisational change towards Responsible Research and Innovation.
available: 2019-10-25T13:38:04Z
has part: JERRI Intervies barriers TNO.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/37
uri: https://fordatis.fraunhofer.de/handle/fordatis/121
sparql endpoint: sparql

Inklusive Klassenlabels und registrierte RGB-Bilder
has bitstream: HSI Bulky Waste Dataset.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
group: Light & Surfaces
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
institute: WKI Fraunhofer-Institut für Holzforschung Wilhelm-Klauditz-Institut
rawdata: false
projectacronym: ASKIVIT
projectid: 2220HV048A
projectname: Altholzgewinnung aus Sperrmüll durch Künstliche Intelligenz und Bildverarbeitung im VIS-, IR- und Terahertz-Bereich
contributor: Gruna, Robin
contributor: Heizmann, Michael
contributor: Schlüter, Friedrich
contributor: Bihler, Manuel
contributor: Roming, Lukas
contributor: Čibiraitė-Lukenskienė, Dovilė
contributor: Aderhold, Jochen
contributor: Bundesministerium für Ernährung und Landwirtschaft BMEL (Deutschland)
contributor: Friederich, Fabian
contributor: Gundacker, Dominik
creator: Schlüter, Friedrich
creator: Bihler, Manuel
creator: Roming, Lukas
creator: Čibiraitė-Lukenskienė, Dovilė
creator: Aderhold, Jochen
date: 2024-03-25T15:35:48Z
language: en
abstract: The dataset contains 44 hyperspectral near-infrared images of bulky waste samples. For each hyperspectral image, there is also an RGB and a label image assigning one of 9 classes to each pixel. The majority of samples are crushed furniture from IKEA and the other objects are from a real waste plant or self-collected bulky waste. Details of the file structure are given in "readme.txt" of the provided dataset. The measurements are part of the work described in https://publica.fraunhofer.de/entities/publication/dde5f89c-f87b-4644-b084-f4edf66c4b19/details
alternative: Including class labels and registered RGB images
available: 2024-03-25T15:35:48Z
has part: HSI Bulky Waste Dataset.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2023-05
rights: https://creativecommons.org/licenses/by/4.0/
title: Hyperspektraler nahinfrarot Datensatz von Sperrmüll
title: Hyperspectral Near-infrared Dataset of Bulky Waste
doi: doi:10.24406/fordatis/318
uri: https://fordatis.fraunhofer.de/handle/fordatis/375
sparql endpoint: sparql

Twin House Experiment IEA EBC Annex 71 Validation of Building Energy Simulation Tools - Specifications and dataset
has bitstream: 03 Data Main Experiment.zip
has bitstream: 04 Data Extended Experiment.zip
has bitstream: 01 Experimental specification BESmodVAL annex71 final v1 0.pdf
has bitstream: 02 Additional Documents.zip
has bitstream: 00 File Structure.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
group: Werkstoffe, Bauteile - MATERIALS
institute: IBP Fraunhofer-Institut für Bauphysik
rawdata: false
projectacronym: InSituNAchweis
projectid: 03ET1509A
projectname: Entwicklung einer Methodik zur Bestimmung der Energieeffizienz von Gebäuden auf Basis von optimierten in situ Messungen
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Strachan, Paul
contributor: Kersken, Matthias
creator: Strachan, Paul
creator: Kersken, Matthias
date: 2020-07-28T09:30:05Z
language: en
abstract: This document and dataset sets out the specification for the empirical validation experiment conducted on the Twin Houses at the Fraunhofer IBP test site in Holzkirchen, Germany in the winter of 2018/19, as part of IEA EBC Annex 71. This document, together with the additional information provided (images, thermal bridge calculations, layout drawings, experimental details and experimental data) constitutes a full specification of the experiment, makeing it available for further validation and training purposes.
available: 2020-05-20T09:00:07Z
available: 2020-07-28T09:30:05Z
created: 2019
has part: 03 Data Main Experiment.zip
has part: 04 Data Extended Experiment.zip
has part: 01 Experimental specification BESmodVAL annex71 final v1 0.pdf
has part: 02 Additional Documents.zip
has part: 00 File Structure.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
issued: 2020-05-19
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/76.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/161.2
sparql endpoint: sparql

Plattformen und Privatheit
has bitstream: Archiv.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: IT 1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2020-08-13T07:39:40Z
language: de
abstract: In der Umfrage zu Plattformen und Privatheit geht es um die Nutzungsgewohnheiten und Einstellungen zu digitalen Plattformen, um Einstellungen und Erfahrungen zum Schutz der Privatsphäre und Vorkehrung zum Datenschutz sowie das Vertrauen in verschiedene Institutionen. Das Kompetenzzentrum Öffentliche Informationstechnologie (ÖFIT) versteht sich als Ansprechpartner und Denkfabrik für Fragen der öffentlichen IT und untersucht staatliche Gestaltungs- und Regulierungsanforderungen zur Digitalisierung im öffentlichen Raum. Es handelt sich bei dieser Veröffentlichung um Daten einer Bevölkerungsumfrage zu Digitalpolitik und digitalem Engagement, die von der GMS Dr. Jung GmbH Gesellschaft für Markt- und Sozialforschung im Auftrag des Kompetenzzentrums Öffentliche IT (ÖFIT) von November bis Dezember 2017 durchgeführt wurden. Mit der Veröffentlichung der Umfragedaten wollen wir diese der Forschungsgemeinschaft zur Nachnutzung für weitere Forschungszwecke bereitstellen. @de
alternative: ÖFIT Bevölkerungsumfrage 2017
available: 2020-08-13T07:39:40Z
created: 2017-12
has part: Archiv.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2020-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/85
uri: https://fordatis.fraunhofer.de/handle/fordatis/169
sparql endpoint: sparql

Multisensor Dataset of Elstar Moje-Feindt Apple Trees During Bloom Stage
has bitstream: 2024-04-15 10-59-41 A27 Bluete botom camera SAMSON4.zip
has bitstream: 2024-04-15 10-59-41 A27 Bluete.bag
has bitstream: 2024-04-15 10-59-41 A27 Bluete top camera SAMSON3.zip
has bitstream: README.txt
has bitstream: A 27 Elstar Moje.geojson
has bitstream: 2024-04-15 10-59-41 A27 Bluete-no lidar.bag
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/22
institute: IFAM Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung
rawdata: true
funding programme: Modul 1 Zukunftsbetriebe
research framework programm: Richtlinie über die Förderung der Einrichtung von Experimentierfeldern als Zukunftsbetriebe und Zukunftsregionen der Digitalisierung in der Landwirtschaft
projectacronym: SAMSON
projectid: 28DE201B21
projectname: Smarte Automatisierungssysteme und -services für den Obstanbau an der Niederelbe
contributor: Bundesministerium für Ernährung und Landwirtschaft BMEL (Deutschland)
contributor: Berschauer, David
contributor: Hentzschel, Moritz Wilhelm
contributor: Blome, Frederick
creator: Berschauer, David
creator: Hentzschel, Moritz Wilhelm
creator: Blome, Frederick
date: 2024-10-16T13:57:52Z
language: en
abstract: This dataset captures the bloom stage of Elstar Moje-Feindt apple trees in a commercial orchard located in the Altes Land region of northern Germany during the 2024 growing season. The apple trees, planted in 2017, are arranged in a narrow spindle system with a spacing of approximately 1 meter. Data collection was carried out on April 15, 2024, at 10:59 AM under light drizzle conditions and lasted for 8 minutes and 32 seconds, with both sides of the row of 238 apple trees being traversed at an average speed of 3.5 km/h. The dataset was recorded using a ground-based multisensor platform and includes raw data from high-resolution 20MP Basler cameras at a frame rate of 5 fps, 128-layer LiDAR data at a frequency of 10 Hz, IMU data at 500 Hz, and RTK GNSS data at 10 Hz.
abstract: Dieser Datensatz erfasst die Blütephase von Elstar Moje-Feindt Apfelbäumen in einer kommerziellen Obstplantage in der Region Altes Land in Norddeutschland während der Wachstumsperiode 2024. Die Apfelbäume, die 2017 gepflanzt wurden, sind in einem schmalen Spindelsystem mit einem Abstand von etwa 1 Meter angeordnet. Die Datenerfassung fand am 15. April 2024 um 10:59 Uhr bei leichtem Nieselregen statt und dauerte 8 Minuten und 32 Sekunden. Die Reihe mit 238 Apfelbäumen wurde dabei von beiden Seiten mit einer Durchschnittsgeschwindigkeit von 3,5 km/h durchfahren. Der Datensatz wurde mit einer bodengestützten Multisensor-Plattform aufgezeichnet und umfasst Rohdaten von hochauflösenden 20MP Basler-Kameras mit einer Bildrate von 5 fps, einem 128-Schicht LiDAR mit einer Frequenz von 10 Hz, IMU-Daten mit 500 Hz und RTK GNSS-Daten mit 10 Hz. @de
alternative: Captured in the Altes Land Region, Northern Germany in Spring 2024
available: 2024-10-16T13:57:52Z
has part: 2024-04-15 10-59-41 A27 Bluete botom camera SAMSON4.zip
has part: 2024-04-15 10-59-41 A27 Bluete.bag
has part: 2024-04-15 10-59-41 A27 Bluete top camera SAMSON3.zip
has part: README.txt
has part: A 27 Elstar Moje.geojson
has part: 2024-04-15 10-59-41 A27 Bluete-no lidar.bag
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/22
issued: 2024-10
rights: https://creativecommons.org/licenses/by/4.0/
title: Multisensor-Datensatz von Elstar Moje-Feindt Apfelbäumen während der Blütephase
doi: doi:10.24406/fordatis/367
uri: https://fordatis.fraunhofer.de/handle/fordatis/417
sparql endpoint: sparql

Forschungsdaten zum use case "Implementierung von ASE in einem Medizintechnik-Unternehmen"
has bitstream: Guideline OSYPKA v5.docx
has bitstream: Guideline OSYPKA v5.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
funding programme: Zukunft der Wertschöpfung - Forschung zu Produktion, Dienstleistung und Arbeit
projectacronym: AdWiSE
projectid: 02P19B000
projectname: Vernetzung der Akteure zur disziplinübergreifenden Entwicklung komplexer vernetzter soziotechnischer Systeme für die Wertschöpfung von morgen
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Weiher, Nils
contributor: Riedelsheimer, Theresa
contributor: Lindow, Kai
contributor: Kalamkar, Rushi
creator: Weiher, Nils
creator: Riedelsheimer, Theresa
creator: Lindow, Kai
creator: Kalamkar, Rushi
date: 2024-06-17T07:57:26Z
language: de
abstract: Die Tabelle enthält eine Validierung & Verifizierung des ASE Kompetenzmodells aus dem Forschungsprojekt AdWiSE anhand eines use cases in der Medizintechnik. Die Daten wurden vom Unternehmen OSYPKA AG in mehreren Expert:inneninterviews iterativ erarbeitet und analysieren die Umsetzung sowie geplante Maßnahmen zur zukünftigen Umsetzung der 6 ASE Kompetenzen im Unternehmen. @de
alternative: Forschungsdaten zur Veröffentlichung "Definition eines Kompetenzmodells für nachhaltiges Engineering im Advanced Systems Engineering"
available: 2024-06-17T07:57:26Z
has part: Guideline OSYPKA v5.docx
has part: Guideline OSYPKA v5.pdf
is part of: Definition eines Kompetenzmodells für nachhaltiges Engineering im Advanced Systems Engineering, TDSE 2024 (to be published)
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
title: Defining a competence model for sustainable engineering in Advanced Systems Engineering
doi: doi:10.24406/fordatis/352
uri: https://fordatis.fraunhofer.de/handle/fordatis/405
sparql endpoint: sparql

HairWidthCracks dataset
has bitstream: HairWidthCracks dataset teaser(samples).pdf
has bitstream: HairWidthCracks dataset teaser(samples) without masks.pdf
has bitstream: HairWidthCracks.zip
has bitstream: README.md
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: false
contributor: Fraunhofer-Gesellschaft FhG
contributor: Geng, Alexander
contributor: Moghiseh, Ali
creator: Geng, Alexander
creator: Moghiseh, Ali
date: 2025-01-03T10:26:51Z
language: en
abstract: 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.
available: 2025-01-03T10:26:51Z
has part: HairWidthCracks dataset teaser(samples).pdf
has part: HairWidthCracks dataset teaser(samples) without masks.pdf
has part: HairWidthCracks.zip
has part: README.md
is part of: https://doi.org/10.48550/arXiv.2307.16723
is part of: http://dx.doi.org/10.24406/fordatis/313.2
is part of: https://doi.org/10.26204/KLUEDO/8207
is part of: https://doi.org/10.58895/ksp/1000174496-10
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2024-12-20
references: https://www.itwm.fraunhofer.de/toolip
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/381
uri: https://fordatis.fraunhofer.de/handle/fordatis/429
sparql endpoint: sparql

Data Catalogs in the Enterprise: Applications and Integration
has bitstream: A2 - Integration Survey Questions, Approach and Results.pdf
has bitstream: A1 - Analyzed Data Catalog Offerings.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
group: IUK-Technologie
institute: ISST Fraunhofer-Institut für Software- und Systemtechnik
rawdata: false
contributor: Otto, Boris
contributor: Jahnke, Nils
creator: Otto, Boris
creator: Jahnke, Nils
date: 2023-06-28T12:07:01Z
language: en
abstract: The data serve as a supplement to the publication Data Catalogs in the Enterprise: Applications and Integration. It includes a table listing the data catalog offerings surveyed, their application class and commercial characteristics, and a table detailing the questions, approach, and results of the data catalog integration survey.
alternative: Supplementary material for publication in Datenbank-Spektrum
available: 2023-05-08T12:21:46Z
available: 2023-06-28T12:07:01Z
has part: A2 - Integration Survey Questions, Approach and Results.pdf
has part: A1 - Analyzed Data Catalog Offerings.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/37
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/257.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/320.2
sparql endpoint: sparql

Kompaktmodell für einen Einzelelektronentransistor in einer geschichteten Nanosäule - Implementierungen in HSPICE und EXCEL/VBA
has bitstream: SET-EXCEL-VBA-implementation.zip
has bitstream: SET-HSPICE-implementation.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/47
institute: IISB Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie
rawdata: false
funding programme: ICT-25/2015: Generic micro- and nano-electronic technologies
research framework programm: Horizon 2020
projectacronym: IONS4SET
projectid: 688072
projectname: Ion-irradiation-induced Si Nanodot Self-Assembly for Hybrid SET-CMOS Technology
contributor: European Commission EC
contributor: Klüpfel, Fabian J.
contributor: Pichler, Peter
creator: Klüpfel, Fabian J.
creator: Pichler, Peter
date: 2021-02-15T14:35:08Z
language: en
abstract: Within the European Project IONS4SET a compact model for a single electron transistor (SET) was developed. The SET is formed by a silicon nanodot embedded in a silicon dioxide layer between two highly doped silicon electrodes. Here, the implementation of the compact model in HSPICE is provided for circuit simulation. In addition, a VBA implementation into Excel is provided which can be used to calculate circuit characterisitcs and stability diagrams.
available: 2021-02-15T14:35:08Z
has part: SET-EXCEL-VBA-implementation.zip
has part: SET-HSPICE-implementation.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/47
issued: 2021-01
references: 10.1109/ACCESS.2019.2924913
rights: https://creativecommons.org/licenses/by/4.0/
title: Compact Model for a Silicon Single Electron Transistor in a Stacked Nanopillar - Implementations in HSPICE and EXCEL/VBA
doi: doi:10.24406/fordatis/116
uri: https://fordatis.fraunhofer.de/handle/fordatis/190
sparql endpoint: sparql

First International Mutual Learning Workshop Documentation
has bitstream: JERRI First International Mutual Learning Workshop documentation.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
group: Innovationsforschung
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
funding programme: EU.5.c.
research framework programm: H2020
projectacronym: JERRI
projectid: 709747
projectname: Joining Efforts for Responsible Research and Innovation
contributor: EC
contributor: Teufel, Benjamin
contributor: Rasenescu, Anna
contributor: Lindner, Ralf
contributor: Daimer, Stephanie
contributor: Fan, Cheng
creator: Teufel, Benjamin
creator: Rasenescu, Anna
creator: Lindner, Ralf
creator: Daimer, Stephanie
creator: Fan, Cheng
date: 2019-10-25T13:59:51Z
language: en
abstract: This data set contains the documentation of the first International Mutual Learning Workshop that was carried out within the JERRI project.
available: 2019-10-25T13:59:51Z
has part: JERRI First International Mutual Learning Workshop documentation.pdf
is part of: urn:nbn:de:0011-n-4976894
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2019-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/38
uri: https://fordatis.fraunhofer.de/handle/fordatis/122
sparql endpoint: sparql

K35/K85 structure, and Diclofenac and PFBS force field parameters
has bitstream: dimer fixed.pdb
has bitstream: diclofenac charged cgenffv301.str
has bitstream: pfbs charged cgenffv301.str
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
group: IUK-Technologie
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: true
funding programme: MEF
research framework programm: Fraunhofer internal program
projectacronym: BioSorb
projectid: 835617
projectname: Entwicklung neuer Biosorbenzien zur Spurenstoffelimination aus kommunalem Abwasser
contributor: Fraunhofer-Gesellschaft FhG
contributor: Hafner, René
contributor: Urbassek, Herbert
contributor: Klein, Peter
contributor: Wolfgramm, Nils
creator: Hafner, René
creator: Wolfgramm, Nils
date: 2023-07-26T12:18:52Z
language: en
abstract: Environmental pollution by man-made toxic and persistent organic compounds, found throughout the world in surface and groundwater, has various negative effects on aquatic life systems and even humans. Therefore, it is important to develop and improve water treatment technologies capable of removing such substances from wastewater or purifying drinking water. The two substances investigated are the widely used painkiller diclofenac and a member of the class of "forever chemicals", perfluorobutane sulfonate, both of which are known to have serious negative effects on living organisms, especially under long-term exposure. In this study, a human hair keratin dimer is investigated for its ability to absorb diclofenac and perfluorobutane sulfonate. Initial predictions for binding sites are obtained via molecular docking and subjected to molecular dynamics simulations for more than 1µs. The binding affinities obtained by the linear interaction energy method are high enough to motivate further research on human hair keratins as a sustainable, low-cost, and easily allocatable filtration material.
available: 2023-07-26T12:18:52Z
has part: dimer fixed.pdb
has part: diclofenac charged cgenffv301.str
has part: pfbs charged cgenffv301.str
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/279
uri: https://fordatis.fraunhofer.de/handle/fordatis/340
sparql endpoint: sparql

RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part II)
has bitstream: iqengine.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/66
group: Verteidigungs- und Sicherheitsforschung
institute: FKIE Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie
rawdata: false
contributor: Henneke, Lukas
contributor: Kurth, Frank
creator: Henneke, Lukas
date: 2025-10-27T16:25:04Z
language: en
abstract: This dataset supplements the dataset "RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)" (https://fordatis.fraunhofer.de/handle/fordatis/460) and is part 3/3 of the evaluation data. The file "iqengine.zip" contains (1) signal bursts extracted from "bluetooth.sigmf-data" (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/bluetooth; Author: Jacob Gilbert; License: CC BY-SA 4.0 - https://creativecommons.org/licenses/by-sa/4.0/), (2) signal bursts extracted from "dect6.sigmf-data" (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/dect6; Author: Jacob Gilbert; License: CC BY-SA 4.0 - https://creativecommons.org/licenses/by-sa/4.0/), and (3) signal bursts extracted from "rfd900p.sigmf-data" (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/rfd900p; Author: Unknown; License: Unknown).
abstract: Dieser Datensatz ergänzt den Datensatz „RF Communication Signal Dataset for Wireless Protocol Recognition based on Deep Embeddings (Part I)“ (https://fordatis.fraunhofer.de/handle/fordatis/460) und ist Teil 3/3 der Evaluierungsdaten. Die Datei „iqengine.zip“ enthält (1) Signalbursts, extrahiert aus „bluetooth.sigmf-data“ (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/bluetooth; Autor: Jacob Gilbert; Lizenz: CC BY-SA 4.0 - https://creativecommons.org/licenses/by-sa/4.0/), (2) Signalbursts, die aus „dect6.sigmf-data“ extrahiert wurden (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/dect6; Autor: Jacob Gilbert; Lizenz: CC BY-SA 4.0 - https://creativecommons.org/licenses/by-sa/4.0/), und (3) Signalbursts extrahiert aus „rfd900p.sigmf-data“ (https://iqengine.org/view/api/us-east-1/iqengine-gnuradio/rfd900p; Autor: Unbekannt; Lizenz: Unbekannt). @de
available: 2025-10-27T16:25:04Z
has part: iqengine.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/66
issued: 2025-10
references: https://iqengine.org/
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/417
uri: https://fordatis.fraunhofer.de/handle/fordatis/461
sparql endpoint: sparql

Digitale Lebensgewohnheiten
has bitstream: Umfragedaten 2021 DigiLeben.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: DGI1-17000/11#2
projectname: Kompetenzzentrum Öffentliche IT – anwendungsorientierte Begleitforschung
contributor: Weber, Mike
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
contributor: Gumz, Jan Dennis
contributor: Ines, Hölscher
creator: Weber, Mike
creator: Krenn, Karoline
creator: Opiela, Nicole
creator: Gumz, Jan Dennis
creator: Ines, Hölscher
date: 2024-02-12T14:43:50Z
language: de
abstract: Die Befragung umfasst verschiedene Aspekte der digitalen Lebensgewohnheiten. Es werden Fragen zur Internet- und Smartphone-Nutzung gestellt, die Einstellung gegenüber digitalen Technologien abgefragt und das Nutzungsverhalten im Privatleben beleuchtet. Themen wie Online-Shopping, digitale Kulturveranstaltungen, politische Inhalte (Bundestagswahl) in der digitalen Kommunikation und die Bedeutung von Medien für die Meinungsbildung während der Pandemie werden untersucht. Die Umfrage adressiert auch die Nutzung digitaler Verwaltungsangebote, das mobile Arbeiten, ehrenamtliches Engagement sowie die Freigabe persönlicher Daten im Internet. Digitale Kompetenzen, insbesondere das Verständnis von App-Einstellungen auf Smartphones, werden ebenfalls abgefragt. Insgesamt bietet die Befragung einen umfassenden Einblick in die digitale Lebenswelt der Teilnehmenden und ihre Haltung gegenüber digitalen Technologien. Für die Umfrage wird neben dem Datensatz (in zwei Versionen: sowohl mit Werten als auch mit Label) auch der Fragebogen mit dem Codeschema bereitgestellt. Zusätzlich werden die vom Dienstleister verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
alternative: ÖFIT Bevölkerungsumfrage 2021
available: 2024-02-12T14:43:50Z
has part: Umfragedaten 2021 DigiLeben.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2024-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/319
uri: https://fordatis.fraunhofer.de/handle/fordatis/376
sparql endpoint: sparql

B3AMpy: Beamforming Toolbox for three-component ambient seismic noise
has bitstream: README B3AMpy.pdf
has bitstream: B3Ampy.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
projectacronym: DEEP-SIGHT
projectid: 03EE4016
projectname: Seismische Überwachung und Charakterisierung von drei geothermischen Fallstudienstandorten
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Finger, Claudia
contributor: Löer, Katrin
creator: Finger, Claudia
creator: Löer, Katrin
date: 2023-11-13T09:54:26Z
language: en
abstract: This is an archived version of version 0.1 with small updates from 26.10.2023. The latest version can be found at: https://github.com/cl-finger/B3Ampy A Matlab Version of this code can be found at https://github.com/katrinloer/B3AM
available: 2023-11-13T09:54:26Z
has part: README B3AMpy.pdf
has part: B3Ampy.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/306
uri: https://fordatis.fraunhofer.de/handle/fordatis/364
sparql endpoint: sparql

Adsorptive Heat Transformation Calculation Scripts
has bitstream: mainCalculations.R
has bitstream: loadEvaluateEnergyBalEcoo10Fahr.R
has bitstream: loadEqiData.R
has bitstream: ReadMe.txt
has bitstream: XSteam.R
has bitstream: calcMeanValsModuleXpr.R
has bitstream: calcPelEcoo10.R
has bitstream: calValMOFadHX.R
has bitstream: performMainCalculations.R
has bitstream: calValEcoo10.R
has bitstream: data.zip
has bitstream: epsNTUeCoo10pred.R
has bitstream: epsNTUsorpPred.R
has bitstream: equilibrium calculation.R
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Energietechnologien und Klimaschutz
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: Grundlagenforschung Energie
projectacronym: KETEC
projectid: 03SF0623C
projectname: Verbundvorhaben KETEC: Forschungsplattform Kälte- und Energietechnik
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Velte-Schäfer, Andreas
contributor: Stahlhut, Maximilian
contributor: Herrmann, Ralph
contributor: May, Thomas
contributor: Teicht, Christian
contributor: Füldner, Gerrit
contributor: Urbaneck, Thorsten
creator: Velte-Schäfer, Andreas
creator: Stahlhut, Maximilian
creator: Herrmann, Ralph
creator: May, Thomas
creator: Teicht, Christian
creator: Füldner, Gerrit
creator: Urbaneck, Thorsten
date: 2024-03-06T14:12:57Z
language: en
abstract: Scripts for calculating adsorption chillers and adsorptive heat transformers with basic adsorption heat exchanger theory equations including examples. Scripts may be used with R 4.3.0 https://cran.r-project.org/bin/windows/base/ in combination with RStudio https://posit.co/products/open-source/rstudio/
available: 2024-03-06T14:12:57Z
has part: mainCalculations.R
has part: loadEvaluateEnergyBalEcoo10Fahr.R
has part: loadEqiData.R
has part: ReadMe.txt
has part: XSteam.R
has part: calcMeanValsModuleXpr.R
has part: calcPelEcoo10.R
has part: calValMOFadHX.R
has part: performMainCalculations.R
has part: calValEcoo10.R
has part: data.zip
has part: epsNTUeCoo10pred.R
has part: epsNTUsorpPred.R
has part: equilibrium calculation.R
is part of: Dazugehöriges Paper noch nicht erschienen. Eingereicht bei "Energy conversion and management" mit dem Titel "Utilizing Waste Heat from Data Centers with Adsorptive Heat Transformation"
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2024-03-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/333
uri: https://fordatis.fraunhofer.de/handle/fordatis/388
sparql endpoint: sparql

Miniaturized photoacoustic detection of organofluorine-based refrigerants
has bitstream: Figure9 R134aDetektor 20mm 1mm.txt
has bitstream: Figure8 R134aDetector 20mm 1mm.txt
has bitstream: Figure10 R134aDetektor 20mm 1mm.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: true
contributor: El-Safoury, Mahmoud
contributor: Weber, Christian
creator: El-Safoury, Mahmoud
creator: Weber, Christian
date: 2020-03-04T10:10:00Z
language: en
abstract: Microphone raw data of the R134a detector
alternative: Supplementary data
available: 2020-03-04T10:10:00Z
created: 2019-07
has part: Figure9 R134aDetektor 20mm 1mm.txt
has part: Figure8 R134aDetector 20mm 1mm.txt
has part: Figure10 R134aDetektor 20mm 1mm.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2020-03
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/59
uri: https://fordatis.fraunhofer.de/handle/fordatis/146
sparql endpoint: sparql

FAST Wind Turbine simulations for mass and aerodynamic imbalance detection
has bitstream: Imbalance Kaimal 9.tar.gz
has bitstream: Imbalance Kaimal 5.tar.gz
has bitstream: Imbalance Kaimal 10.tar.gz
has bitstream: OutListParameters.xlsx
has bitstream: Imbalance Kaimal 19.tar.gz
has bitstream: Imbalance Kaimal 20.tar.gz
has bitstream: Imbalance Kaimal 6.tar.gz
has bitstream: Imbalance Kaimal 15.tar.gz
has bitstream: Imbalance Kaimal 8.tar.gz
has bitstream: Imbalance Kaimal 18.tar.gz
has bitstream: Imbalance Kaimal 7.tar.gz
has bitstream: Imbalance Kaimal 14.tar.gz
has bitstream: Imbalance Kaimal 12.tar.gz
has bitstream: Imbalance Kaimal 16.tar.gz
has bitstream: Imbalance Kaimal 11.tar.gz
has bitstream: Imbalance Kaimal 17.tar.gz
has bitstream: Imbalance Kaimal 13.tar.gz
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
institute: SCAI Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen
rawdata: true
projectacronym: MADESI
projectid: 01IS18043A
projectname: Maschinelle Lernverfahren für Stochastisch-Deterministische Sensorsignale
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Garcke, Jochen
contributor: Lecei, Ivan
contributor: Iza-Teran, Victor Rodrigo
creator: Lecei, Ivan
date: 2022-04-25T06:45:27Z
language: en
abstract: The dataset was created in order to be able to train machine learning models in the domain of wind energy, especially for the use cases of predictive maintenance / condition monitoring and anomaly detection. In the wind energy domain, one usually suffers from two main problems: Firstly, the lack of sufficiently many labeled data instances, especially for rarely occurring anomalous states. Secondly, the stochastic nature of the resulting measurements, as changing and turbulent environmental conditions lead to a lot of noise in the recorded sensor signals, which in turn makes the analysis of the data very hard. To this end, a synthetic wind turbine dataset has been created, which addresses these issues. The dataset allows to obtain a more controlled view than measurements in the field would yield, since for different fixed conditions of the wind turbine, simulations have been carried out for a various number of environmental conditions. The goal is to be able to learn data representations for different states of the wind turbine from the simulated data, which would not be possible on real measurements. Moreover, as the simulations can be carried out with a very high number of different sensor outputs, the dataset offers a possibility to uncover relations between different measurements / components of the wind turbine, which are not known yet. The dataset consists strictly of highdimensional time series as output of certain setups of a 5MW wind turbine. They represent various measurements of important characteristics, such as acceleration or bending moments, on the blades, the nacelle, or different parts of the wind turbine. The dataset is created to resemble different locations and degrees of mass imbalance on one of the three wind turbine blades.
available: 2022-04-25T06:45:27Z
has part: Imbalance Kaimal 9.tar.gz
has part: Imbalance Kaimal 5.tar.gz
has part: Imbalance Kaimal 10.tar.gz
has part: OutListParameters.xlsx
has part: Imbalance Kaimal 19.tar.gz
has part: Imbalance Kaimal 20.tar.gz
has part: Imbalance Kaimal 6.tar.gz
has part: Imbalance Kaimal 15.tar.gz
has part: Imbalance Kaimal 8.tar.gz
has part: Imbalance Kaimal 18.tar.gz
has part: Imbalance Kaimal 7.tar.gz
has part: Imbalance Kaimal 14.tar.gz
has part: Imbalance Kaimal 12.tar.gz
has part: Imbalance Kaimal 16.tar.gz
has part: Imbalance Kaimal 11.tar.gz
has part: Imbalance Kaimal 17.tar.gz
has part: Imbalance Kaimal 13.tar.gz
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
issued: 2022
modified: 2022-04-13T11:03:37Z
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/196
uri: https://fordatis.fraunhofer.de/handle/fordatis/267
sparql endpoint: sparql

TEDDY: A High-Resolution High Dynamic Range Light-Field Dataset
has bitstream: TeddySuperDense.zip
has bitstream: TeddyDense.zip
has bitstream: Readme.txt
has bitstream: BusyTeddy.zip
has bitstream: TeddyInEgypt.zip
has bitstream: TeddyAndCrabby.zip
has bitstream: RelaxingTeddy.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
funding programme: EU.1.3.1.
research framework programm: Horizon 2020
projectacronym: RealVision
projectid: 765911
projectname: Hyperrealistic Imaging Experience
contributor: European Commission EC
contributor: Keinert, Joachim
contributor: Bätz, Michel
contributor: Ziegler, Matthias
contributor: Gul, Muhammad Shahzeb Khan
contributor: Wolf, Thorsten
creator: Keinert, Joachim
creator: Bätz, Michel
creator: Ziegler, Matthias
creator: Gul, Muhammad Shahzeb Khan
creator: Wolf, Thorsten
date: 2020-04-28T11:50:19Z
language: en
publisher: Fraunhofer IIS
abstract: Light-field (LF) imaging has various advantages over the traditional 2D photography, providing angular information of the real world scene by separately recording light rays in different directions. Despite the directional light information which enables new capabilities such as depth estimation, post-capture refocusing, and 3D modelling, currently available light-field datasets are very restricted in terms of spatial-resolution and dynamic range. In this work, we address this problem by capturing a novel light-field dataset featuring both a high spatial resolution and a high dynamic range (HDR). This dataset should enable the community to research and develop efficient reconstruction and tone-mapping algorithms for a hyper-realistic visual experience. The dataset consists of four static light-fields that are captured by a high-quality digital camera mounted on two precise linear axes using exposure bracketing at each view point.
available: 2020-04-28T11:50:19Z
has part: TeddySuperDense.zip
has part: TeddyDense.zip
has part: Readme.txt
has part: BusyTeddy.zip
has part: TeddyInEgypt.zip
has part: TeddyAndCrabby.zip
has part: RelaxingTeddy.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2020-04-15
modified: 2020-04-17T18:50:02Z
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/73
uri: https://fordatis.fraunhofer.de/handle/fordatis/158
sparql endpoint: sparql

Prototyp zur Integration von 5G in TSN. Datenset
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
group: Produktion
institute: IPT Fraunhofer-Institut für Produktionstechnologie
rawdata: false
research framework programm: 5G.NRW
projectacronym: 5G-COMET
projectid: 005-2008-0093
projectname: 5G-Control Over tiMe sEnsitive neTwork
contributor: Kehl, Pierre
contributor: Ansari, Junaid
creator: Kehl, Pierre
creator: Ansari, Junaid
date: 2023-02-09T10:05:41Z
language: en
abstract: Dieser Datensatz enthält die Validierung einer Implementierung eines 5G-Systems als Wireless-Bridge in eine Time-Sensitive Networking (TSN) Infrastruktur. Diser Prototyp einer Integration von 5G in ein TSN-Netzwerk wurde erstellt, um die Leistung von 5G-TSN für industrielle Anwendungen zu bewerten. Der Aufbau wird im Paper »Prototype of 5G Integrated with TSN for Edge-Controlled Mobile Robotics« ausführlich erläutert. @de
abstract: This dataset presents a validation of an implementation of a 5G system with Time-Sensitive Networking (TSN). A prototype setup integrating 5G in a TSN network has been completed to evaluate the 5G-TSN performance for industrial applications. The setup is explained in details in the paper "Prototype of 5G Integrated with TSN for Edge-Controlled Mobile Robotics".
alternative: Dataset
available: 2023-02-09T10:05:41Z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
is referenced by: 10.3390/electronics11111666
issued: 2027-08-01
rights: https://creativecommons.org/licenses/by/4.0/
title: Prototype of 5G Integrated with TSN
doi: doi:10.24406/fordatis/208
uri: https://fordatis.fraunhofer.de/handle/fordatis/279
sparql endpoint: sparql

Supplementary material to the study on exploring residential space use patterns
has bitstream: SM 3.pdf
has bitstream: SM 2.pdf
has bitstream: SM 1.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Pröpper, Alexandra
contributor: Bagheri, Mahsa
contributor: Klein, Geneviève
creator: Pröpper, Alexandra
creator: Bagheri, Mahsa
creator: Klein, Geneviève
date: 2024-06-25T09:32:21Z
language: en
abstract: The three files are supplementary material to the study "Exploring residential space use patterns: Findings from a multi-country survey". They contain the survey questions, the validation process of the collected sample and the results of the hierarchical clustering.
available: 2024-06-25T09:32:21Z
has part: SM 3.pdf
has part: SM 2.pdf
has part: SM 1.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2024-06
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/353
uri: https://fordatis.fraunhofer.de/handle/fordatis/406
sparql endpoint: sparql

Simulation of texture evolution for a multi-step metal forming process
has bitstream: uniax simulator for microstructure evolution 40tasks
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: 415804944
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Dornheim, Johannes
contributor: Pagenkopf, Jan
contributor: Morand, Lukas
contributor: Helm, Dirk
creator: Dornheim, Johannes
creator: Pagenkopf, Jan
creator: Morand, Lukas
creator: Helm, Dirk
date: 2021-05-17T07:38:42Z
language: en
abstract: The published code performs a metal forming process simulation. The process consists of subsequent steps of uniaxial tension and compression, arbitrarily oriented to a reference coordinate system. The simulation is based on a Taylor-type crystal plasticity model. To run the simulation, Intel Fortran libraries are needed.
available: 2021-04-29T08:48:14Z
available: 2021-05-17T07:38:42Z
has part: uniax simulator for microstructure evolution 40tasks
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021
rights: https://creativecommons.org/licenses/by-nd/4.0/
doi: doi:10.24406/fordatis/127.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/201.2
sparql endpoint: sparql

Spectrogram Data Set for Deep Learning Based RF-Frame Detection
has bitstream: spectrogram training data 20220711.zip
has bitstream: spectrogram training data 20221006.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
doi: http://dx.doi.org/10.24406/fordatis/216
issued: 2022-10-26
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: false
research framework programm: Penta
projectacronym: SunRISE
projectid: 16ES0974
projectname: Shared IoT Security, Teilvorhaben Entwurf und Entwicklung von Tools für drahtlose Netzwerksicherheit von IoT
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Wicht, Jakob
creator: Wicht, Jakob
date: 2022-12-07T08:10:23Z
language: en
abstract: Automated spectrum analysis serves as a troubleshooting tool that helps to diagnose faults in wireless networks like difficult signal propagation conditions as well as coexisting wireless networks. It provides a higher monitoring coverage while requiring less expertise compared to manual spectrum analysis. In this publication, we introduce a data set that can be used to train and evaluate a deep learning model, capable to detect frames of different wireless standards as well as interference between single frames. Since manually labelling a high variety of frames in different environments is too challenging, an artificial data generation pipeline has been developed. The data set consists of 20000 augmented signal segments, each containing a random number of different Wi-Fi and Bluetooth frames, their spectral image representations and labels that describe the position and type of frame within the spectrogram. The dataset contains results of intermediate processing steps that enables the research or teaching community to create new datasets for specific requirements or to provide new interesting examination examples.
available: 2022-10-26T06:51:20Z
available: 2022-12-07T08:10:23Z
has part: spectrogram training data 20220711.zip
has part: spectrogram training data 20221006.zip
is part of: https://doi.org/10.3390/data7120168
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2022-11
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/216.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/287.2
sparql endpoint: sparql

Folgar Tucker constants fitted against simulations of various suspensions under shear and/or elongation
has bitstream: totalDataBase.dat
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: true
projectacronym: Robocast II
projectid: KR1729/13-2
projectname: Robocasting keramischer 3D-Strukturen: Experimentelle Untersuchungen und numerische Simulation des Gefüges und der Makrostruktur
contributor: Bierwisch, Claas
contributor: Dietemann, Bastien
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Kraft, Torsten
contributor: Kruggel-Emden, Harald
contributor: Bosna, Fatih
creator: Dietemann, Bastien
date: 2021-01-21T12:12:42Z
language: en
abstract: The Folgar Tucker model is an analytical model to predict the orientation of embedded particles within suspension under various kinds of deformation. The accuracy of the model is affected by a model parameter - the Folgar Tucker parameter. This dataset includes Folgar Tucker parameter that have been fitted against numerical simulations of suspension under three types of deformation that are shear, elongation or a combination of both. The simulations are performed in 2D with Smoothed Particle Hydrodynamic applying a two-way-coupling between the fluid and the solid phase. The suspension includes two types of different geometries that have either a disk shape or fiber shape. The suspension composition has been altered in terms of filling fractions of disks and fibers, size of the disks and the aspect ratio of the fibers. The Folgar Tucker model itself is precisely formulated but allows a certain degree of freedom with respect to the computation of the fourth order tensor. This fourth order tensor is often computed by a closure approximation. We show the fitted parameters for two closure approximations – the quadratic and hybrid closure.
available: 2021-01-21T12:12:42Z
has part: totalDataBase.dat
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/117
uri: https://fordatis.fraunhofer.de/handle/fordatis/191
sparql endpoint: sparql

Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe
has bitstream: biomass nuts2.cpg
has bitstream: biomass nuts2.shx
has bitstream: Results DH Matching Cluster.xlsx
has bitstream: dh areas final.prj
has bitstream: dh areas final.shp
has bitstream: biomass nuts2.shp
has bitstream: biomass nuts2.dbf
has bitstream: dh areas final.shx
has bitstream: dh areas final.dbf
has bitstream: biomass nuts2.prj
has bitstream: dh areas final.cpg
has bitstream: biomass nuts2.qmd
has bitstream: dh areas final.qmd
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
contributor: Kranzl, Lukas
contributor: Billerbeck, Anna
contributor: Fallahnejad, Mostafa
contributor: Kök, Ali
contributor: Braungardt, Sibylle
creator: Manz, Pia
creator: Billerbeck, Anna
creator: Fallahnejad, Mostafa
date: 2023-07-26T09:34:40Z
language: en
abstract: Supplementary datasets to the journal paper in excel format for results and GIS-datasets (raster and vector) for datasets
available: 2023-07-26T09:34:40Z
has part: biomass nuts2.cpg
has part: biomass nuts2.shx
has part: Results DH Matching Cluster.xlsx
has part: dh areas final.prj
has part: dh areas final.shp
has part: biomass nuts2.shp
has part: biomass nuts2.dbf
has part: dh areas final.shx
has part: dh areas final.dbf
has part: biomass nuts2.prj
has part: dh areas final.cpg
has part: biomass nuts2.qmd
has part: dh areas final.qmd
is part of: journal paper publication: Manz, P.; Billerbeck, A.; Kök, A.; Fallahnejad, M.; Fleiter, T.; Kranzl, L.; Braungardt, S.; Eichhammer, W.: Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe, Renewable Energy, 2023 [under review]
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-07-26
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/280
uri: https://fordatis.fraunhofer.de/handle/fordatis/341
sparql endpoint: sparql

Reference data sets for the detection of anomalies in the manufacturing process of cutting machine tools
has bitstream: Documentation for the enclosed reference data sets.pdf
has bitstream: Dokumentation zu den beiliegenden Referenzdatensätzen.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
group: Produktion
institute: IPT Fraunhofer-Institut für Produktionstechnologie
rawdata: false
projectacronym: Glassist
projectid: EFRE-0801395
projectname: Smart-Glass-based Assistance Systems for Machine Tools
contributor: European Commission EC
contributor: Lee, Tae Hun
contributor: Kosel, Maximilian
contributor: Lowis, Steffen
contributor: Fritz, Jan
contributor: Zontar, Daniel
creator: Lowis, Steffen
date: 2022-02-02T06:38:01Z
language: en
abstract: The present data sets were created and published within the project "Glassist - Smart-Glass-based Assistance System for Machine Tools". The project is being carried out in collaboration with the project partners Nuromedia GmbH, Oculavis GmbH, Innolite GmbH and Starrag Technology GmbH. The data sets can be assigned to series of experiments. The individual experiments were carried out with a process-integrated measuring system on a machine tool under process parameter variations. In an attached documentation, the data sets are described in detail and notes on interpretation are presented.
available: 2022-02-02T06:38:01Z
has part: Documentation for the enclosed reference data sets.pdf
has part: Dokumentation zu den beiliegenden Referenzdatensätzen.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/25
issued: 2022-01-31
modified: 2022-01-26T07:33:16Z
rights: http://rightsstatements.org/vocab/InC/1.0/
title: Referenzdatensätze zur Erkennung von Anomalien im Fertigungsprozess von spanenden Werkzeugmaschinen
doi: doi:10.24406/fordatis/171
uri: https://fordatis.fraunhofer.de/handle/fordatis/244
sparql endpoint: sparql

Umfrage zur Arbeitswelt der Zukunft – Neue Arbeitssituationen in Hotellerie, Gastronomie und Tourismus mithilfe innovativer Technologien
has bitstream: FutureHotel Metaverse Survey Fragebogen.pdf
has bitstream: FutureHotel MetaverseSurvey Datensatz 20240408 Original ohneMail (3) (2).sav
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
group: Innovationsforschung
institute: IAO Fraunhofer-Institut für Arbeitswirtschaft und Organisation
rawdata: true
projectacronym: FuHo
projectname: Verbundforschungsprojekt FutureHotel
contributor: Borkmann, Vanessa
contributor: Gaulinger, Ronja
contributor: Pardek, Carina
creator: Borkmann, Vanessa
creator: Pardek, Carina
date: 2025-10-07T06:49:36Z
language: de
abstract: This survey is aimed at employees in the hotel, catering and tourism industries and deals with the opportunities offered by innovative technologies in specific work situations with a view to the next 3-5 years. The survey described possible applications of the technologies in pre-employment, employment, and post-employment phase. Respondents were asked to evaluate each application according to their personal opinion. They were asked to mentally put themselves in the specific situations.
abstract: Im Moment wird viel darüber gesprochen, wie Roboter und die Digitalisierung, die Arbeit in der Zukunft verändern werden. Technologien können viele neue Möglichkeiten bringen. Auch wenn wir heute immer noch an ganz normalen Arbeitsplätzen arbeiten, bieten uns die virtuellen Welten, also Computerwelten, ganz neue und interessante Wege, wie wir in der Zukunft arbeiten können. Diese Umfrage richtet sich an Mitarbeitende in Hotellerie, Gastronomie und im Tourismus und behandelt die Chancen von innovativen Technologien in konkreten Arbeitssituationen mit Blick auf die nächsten 3-5 Jahre. @de
alternative: Eine Umfrage des Fraunhofer IAO zu den Chancen von Technologieeinsatz für innovative Arbeitswelten in virtuellen Umgebungen
available: 2025-10-07T06:49:36Z
has part: FutureHotel Metaverse Survey Fragebogen.pdf
has part: FutureHotel MetaverseSurvey Datensatz 20240408 Original ohneMail (3) (2).sav
is part of: https://publica.fraunhofer.de/handle/publica/450185
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
issued: 2025
rights: https://creativecommons.org/licenses/by/4.0/
title: Survey on the future world of work – New work situations in the hotel, catering, and tourism industries with the help of innovative technologies
doi: doi:10.24406/fordatis/406
uri: https://fordatis.fraunhofer.de/handle/fordatis/450
sparql endpoint: sparql

European Truck Parking Locations
has bitstream: truckParkingLocationsEurope Final Filtered Clean MediumHigh v02.csv
has bitstream: 20231107 AdditionalInformation TruckParkingLocations Zenode V01 (1).pdf
has bitstream: codebook.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
doi: https://doi.org/10.5281/zenodo.10078027
issued: 2023-11-07
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
projectacronym: HoLa
projectid: 03EMF0404A
projectname: Hochleistungsladen im Lkw-Fernverkehr
contributor: Bundesministerium für Verkehr und digitale Infrastruktur BMVI (Deutschland)
contributor: Plötz, Patrick
contributor: Link, Steffen
creator: Plötz, Patrick
creator: Link, Steffen
date: 2023-11-09T14:53:40Z
language: en
abstract: This geospatial dataset presents real-world locations (latitude, longitude) of potential heavy-duty truck parking locations in Europe (EU-27, EFTA, UK). Coverage and completeness varies among countries. GPS coordinates may not match exact locations but should be considered as reference point for detailed local analyses of ambient conditions and truck parking suitability. Fraunhofer ISI does not assume any liability for completeness, correctness and accuracy of the information. Such a real-world dataset is invaluable when designing future European infrastructures for low-carbon road freight transport, particularly charging infrastructure networks for battery-electric trucks in long-haul operation but also hydrogen refuelling station networks. Therefore, it is a valuable resource for researchers, industry representatives such as charging point operators and grid network operators, or public authorities. Details and references are provided in the .pdf document. More information is available upon request.
available: 2023-11-09T14:53:40Z
has part: truckParkingLocationsEurope Final Filtered Clean MediumHigh v02.csv
has part: 20231107 AdditionalInformation TruckParkingLocations Zenode V01 (1).pdf
has part: codebook.csv
is part of: https://evs36.com/wp-content/uploads/finalpapers/FinalPaper_Link_Steffen.pdf
is part of: 10.24406/publica-1198
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-11
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/307
uri: https://fordatis.fraunhofer.de/handle/fordatis/365
sparql endpoint: sparql

Experimental Characterisation and Simulation of Piezoelectric Titanium Micropumps and Titanium Microvalves
has bitstream: SpringFoil FEM.zip
has bitstream: micro pumps.zip
has bitstream: NO valves.zip
has bitstream: NC valves.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
funding programme: Hochtechnologien für das 21. Jahrhundert
projectname: Aktive, theranostische Blasenschließmuskeltechnologie
contributor: Wald, Christian Klaus
contributor: Bußmann, Agnes
contributor: Durasiewicz, Claudia Patricia
contributor: Kibler, Sebastian Heinrich Alexander
contributor: Bayerische Forschungsstiftung BFS
creator: Wald, Christian Klaus
creator: Bußmann, Agnes
creator: Durasiewicz, Claudia Patricia
creator: Kibler, Sebastian Heinrich Alexander
date: 2020-05-20T08:47:06Z
language: en
abstract: This dataset contains experimental data as a characterisation of piezoelectric micropumps and microvalves. Measurement data includes the actuator stroke measured using white light profilometry, as well as fluidic measurements of generated flow, passive flow, and leakage measured using coriflow flowmeters. Flow measurement data of normally open valves before and after 10^6 actuation cycles is supplied. An ANSYS 2019 R1 project file is given as part of an evaluation of a normally closed valve's spring foil. Associated with the simulation is experimental data of the pressure-dependant stroke of the normally closed valve's spring foil.
available: 2020-05-20T08:47:06Z
created: 2019
has part: SpringFoil FEM.zip
has part: micro pumps.zip
has part: NO valves.zip
has part: NC valves.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2020-05-18
rights: https://creativecommons.org/licenses/by/4.0/
title: Experimentelle Charakterisierung und Simulation von piezoelektrischen Mikropumpen und Mikroventilen aus Titan
doi: doi:10.24406/fordatis/74
uri: https://fordatis.fraunhofer.de/handle/fordatis/159
sparql endpoint: sparql

Sustainable Heat Supply for Greenhouses with Heatpumps - Dataset for the simulation
has bitstream: NaWaeGe WeatherData.csv
has bitstream: NaWaeGe Heatprofile.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Energietechnologien und Klimaschutz
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
funding programme: Regenerative und energieeffiziente Wärme- und Kältenutzung
research framework programm: 7. Energieforschungsprogramm
projectacronym: NaWaeGe
projectid: 03ENM0022
projectname: Nachhaltige und zukunftssichere Wärmeversorgung für Gewächshäuser mit Wärmepumpen
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Chaigneau, Matthieu
creator: Chaigneau, Matthieu
date: 2024-03-12T08:48:31Z
language: en
abstract: This dataset is linked to the article submitted at ISEC 2024 "Sustainable Heat Supply for Greenhouses with Heatpumps". It contains: 1. weather data (hourly) from Test Reference Year 2011 in Straelen and 2. the hourly heat demand profile of the greenhouse that were used to simulate the different scenarios. The heat demand profile was calculated with Hortex using the same weather data and summarizes all 18 greenhouses of the considered company together in one value.
alternative: Weather and Heatprofiles
available: 2024-03-12T08:48:31Z
has part: NaWaeGe WeatherData.csv
has part: NaWaeGe Heatprofile.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
is referenced by: Sustainable Heat Supply for Greenhouses with Heatpumps presented at ISEC 2024 (DOI not yet available)
issued: 2024-02
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/334
uri: https://fordatis.fraunhofer.de/handle/fordatis/389
sparql endpoint: sparql

Sensoren
has bitstream: Umfragedaten 2021 Sensoren.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: DGI1-17000/11#2
projectname: Kompetenzzentrum Öffentliche IT – anwendungsorientierte Begleitforschung
contributor: Weber, Mike
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
contributor: Hölscher, Ines
contributor: Gumz, Jan Dennis
creator: Weber, Mike
creator: Krenn, Karoline
creator: Opiela, Nicole
creator: Hölscher, Ines
creator: Gumz, Jan Dennis
date: 2024-01-29T09:37:03Z
language: de
abstract: Die Umfrage befasst sich mit Sensoren im öffentlichen Raum wie bspw. Verkehrssensoren, Umweltsensoren oder Videokameras auf Plätzen oder Straßen. Teilnehmende bewerten ihre generelle Haltung gegenüber Sensoren und werden zu deren Wahrnehmung im öffentlichen Raum sowie zu ihrem Wissen über deren Arten und Funktionsweisen befragt. Ein besonderer Fokus liegt auf Kameras im öffentlichen Raum: Hierzu werden Meinungen zu Videoüberwachung, Sicherheit, Datenschutz und der Nutzung von Bilddaten erkundet. Themen wie die gewünschte Anzahl der Sensoren im öffentlichen Raum, die Bewertung von Maßnahmen um die Zustimmung zu Sensoren zu beeinflussen, sowie die Einstellung gegenüber und Nutzung von Wearables und Corona-bezogenen Apps werden ebenfalls behandelt. Die Umfrage endet mit Fragen zu persönlichen Erfahrungen und der Einschätzung der Nützlichkeit von Videoüberwachung in bestimmten Situationen. Für die Umfrage wird neben dem Datensatz (in zwei Versionen: sowohl mit Werten als auch mit Label) auch der Fragebogen mit dem Codeschema bereitgestellt. Zusätzlich werden die vom Dienstleister verfügbaren Angaben zu den Methoden der Datenvalidierung, Bereinigung und Gewichtung der Datensätze bereitgestellt. @de
alternative: ÖFIT Bevölkerungsumfrage 2021
available: 2024-01-29T09:37:03Z
has part: Umfragedaten 2021 Sensoren.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2024-01
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/320
uri: https://fordatis.fraunhofer.de/handle/fordatis/377
sparql endpoint: sparql

Non-planar inside-out dense light-field dataset and reconstruction pipeline
has bitstream: 25072018 SofaScene.tar
has bitstream: 23072018 MannequinScene.tar
has bitstream: Readme overview.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
funding programme: EU.1.3.1.
research framework programm: Horizon 2020
projectacronym: ETN-FPI
projectid: 676401
projectname: European Training Network on Full Parallax Imaging
contributor: European Commission EC
contributor: Durmush, Ahmed
contributor: Keinert, Joachim
contributor: Zakeri, Faezeh Sadat
contributor: Bätz, Michel
contributor: Ziegler, Matthias
creator: Durmush, Ahmed
creator: Keinert, Joachim
creator: Zakeri, Faezeh Sadat
creator: Bätz, Michel
creator: Ziegler, Matthias
date: 2020-04-03T08:33:03Z
language: en
publisher: Fraunhofer IIS
abstract: Light-field imaging provides full spatio-angular information of the real world by capturing the light rays in various directions. This allows image processing algorithms to result in immersive user experiences such as VR. To evaluate, and develop reconstruction algorithms, a precise and dense light-field dataset of the real world that can be used as ground truth is desirable. Fraunhofer IIS presents a dataset that includes two scenes that are captured by an accurate industrial robot with an attached color camera such that the camera is looking outward. The arm moves on a cylindrical path for a field of view of 125 degrees with angular step size of 0,01 degrees. The images are pre-processed in different steps. The disparity between two adjacent views with resolution of 5168x3448 is less than 1,6 pixels; the parallax between the foreground and the background objects is less than 0,6 pixels. The dataset is based on the paper "Non-planar inside-out dense light-field dataset and reconstruction pipeline" by Faezeh Sadat Zakeri, Ahmed Durmush, Matthias Ziegler, Michel Bätz, and Joachim Keinert.
available: 2020-04-03T08:33:03Z
has part: 25072018 SofaScene.tar
has part: 23072018 MannequinScene.tar
has part: Readme overview.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2019-09-21
modified: 2020-01-30T17:32:09Z
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/60
uri: https://fordatis.fraunhofer.de/handle/fordatis/147
sparql endpoint: sparql

Technology commitment of high responsibility teams
has bitstream: Online-Fragebogen zur Technikbereitschaft in High-Responsibilty-Teams.pdf
has bitstream: initialerhebung 1.html
has bitstream: Technology commitment for intelligent systems in control centers.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
projectacronym: SPELL
projectname: SPELL - Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Elsenbast, Christian
contributor: Van Lengen, Rolf
creator: Elsenbast, Christian
date: 2022-04-25T06:26:50Z
language: de
abstract: The aim of the present study is to survey the technology commitment of dispatchers in fire and emergency centers, physicians and EMS professionals, and to develop a short scale for specific Technology Commitment with regard to intelligent systems, as they are to be developed and implemented in the SPELL project.
available: 2022-04-25T06:26:50Z
has part: Online-Fragebogen zur Technikbereitschaft in High-Responsibilty-Teams.pdf
has part: initialerhebung 1.html
has part: Technology commitment for intelligent systems in control centers.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2022
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/197
uri: https://fordatis.fraunhofer.de/handle/fordatis/268
sparql endpoint: sparql

Wetterdaten des Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany
has bitstream: Metadata weather data ICT.pdf
has bitstream: 2023 measurements.csv
has bitstream: 2022 measurements.csv
has bitstream: 2024 measurements.csv
has bitstream: ws700 datasheet.pdf
has bitstream: Lufft WS700-UMB Smart Weather Sensor.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/6
institute: ICT Fraunhofer-Institut für Chemische Technologie
rawdata: true
contributor: Weisenburger, Philipp
contributor: Kuglstatter, Michael
creator: Weisenburger, Philipp
creator: Kuglstatter, Michael
date: 2025-06-12T12:28:29Z
language: en
abstract: The following data set contains meteorological data measured at the Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany. The measured values are available with a resolution of 15 minutes and grouped by year. The measurements were taken with a certified WS700 weather station from Lufft. The individual measurements, their ranges and the corresponding units are described below. The station is used at the ICT for monitoring weather conditions during outdoor experiments. Each day's measurements are automatically stored as individual csv files on a data server. A manual download of the data sets took place on 06.06.2024. For better usability, the individual measurements were combined into a single dataset for an entire year. This was done using a Python script.
available: 2024-10-31T13:49:41Z
available: 2025-06-12T12:28:29Z
has part: Metadata weather data ICT.pdf
has part: 2023 measurements.csv
has part: 2022 measurements.csv
has part: 2024 measurements.csv
has part: ws700 datasheet.pdf
has part: Lufft WS700-UMB Smart Weather Sensor.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/6
issued: 2024-10-31
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Meteorological data from Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany
doi: doi:10.24406/fordatis/375.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/424.2
sparql endpoint: sparql

Wind turbine gearbox simulation data
has bitstream: accln 13Wcr 3ep 13tc.mat
has bitstream: accln 13Wcr 2ep 16tc.mat
has bitstream: accln 13Wh 3ep.mat
has bitstream: accln 5Wcr 2ep 13tc.mat
has bitstream: accln 5Wcr 1ep 16tc.mat
has bitstream: accln 5Wcr 1ep 10tc.mat
has bitstream: accln 5Wcr 2ep 10tc.mat
has bitstream: accln 5Wcr 3ep 16tc.mat
has bitstream: Readme.md
has bitstream: accln 13Wcr 1ep 13tc.mat
has bitstream: accln 13Wh 2ep.mat
has bitstream: accln 5Wh 2ep.mat
has bitstream: accln 5Wcr 2ep 16tc.mat
has bitstream: accln 5Wcr 3ep 10tc.mat
has bitstream: accelerations cracked healthy.zip
has bitstream: accln 5Wcr 1ep 13tc.mat
has bitstream: accln 13Wcr 2ep 10tc.mat
has bitstream: accln 5Wh 3ep.mat
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
institute: SCAI Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen
rawdata: true
projectacronym: MADESI
projectid: 01IS18043A
projectname: Maschine Lernverfahren für Stochastisch-Deterministische Multi-Sensor Signale
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Iza Teran, Victor Rodrigo
contributor: Garcke, Jochen
contributor: Climaco, Paolo
contributor: Lecei, Ivan
creator: Iza Teran, Victor Rodrigo
creator: Garcke, Jochen
creator: Climaco, Paolo
creator: Lecei, Ivan
date: 2022-10-26T06:27:30Z
language: en
abstract: This dataset consists of simulated acceleration signals representing the vibration response of a generic geared-rotor bearing system made of a rigid gearbox with a spur gear pair mounted on flexible shafts supported by rolling element bearings. The signals include a stochastic component simulating the varying load condition caused by wind turbulence. The data have been generated simulating two distinct gearbox health scenarios and two wind speed conditions. Specifically, signals represent a situation in which a perfectly healthy gearbox is modelled or a scenario in which one of the gears is damaged. The simulated damage consists of a cracked tooth in one of the two gears. Moreover, independently of the gearbox's health condition, we consider the two wind speed scenarios of 5 m/s and 13m/s. Further information on the data can be found in the 'Readme.md' file.
available: 2022-03-31T03:46:51Z
available: 2022-10-26T06:27:30Z
has part: accln 13Wcr 3ep 13tc.mat
has part: accln 13Wcr 2ep 16tc.mat
has part: accln 13Wh 3ep.mat
has part: accln 5Wcr 2ep 13tc.mat
has part: accln 5Wcr 1ep 16tc.mat
has part: accln 5Wcr 1ep 10tc.mat
has part: accln 5Wcr 2ep 10tc.mat
has part: accln 5Wcr 3ep 16tc.mat
has part: Readme.md
has part: accln 13Wcr 1ep 13tc.mat
has part: accln 13Wh 2ep.mat
has part: accln 5Wh 2ep.mat
has part: accln 5Wcr 2ep 16tc.mat
has part: accln 5Wcr 3ep 10tc.mat
has part: accelerations cracked healthy.zip
has part: accln 5Wcr 1ep 13tc.mat
has part: accln 13Wcr 2ep 10tc.mat
has part: accln 5Wh 3ep.mat
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
issued: 2022
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/191.3
uri: https://fordatis.fraunhofer.de/handle/fordatis/262.3
sparql endpoint: sparql

Assured Resilience in Autonomous Systems – Supplementary Material
has bitstream: CARLA Scenarios.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/126
group: IUK-Technologie
institute: IKS Fraunhofer-Institut für Kognitive Systeme
rawdata: true
research framework programm: BAYERN DIGITAL II
projectacronym: ADACenter
projectname: Center for Analytics-Data-Applications
contributor: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWi
contributor: Schwaiger, Adrian
contributor: Henne, Maximilian
contributor: Gansloser, Jens
contributor: Weiß, Gereon
creator: Schwaiger, Adrian
creator: Henne, Maximilian
creator: Gansloser, Jens
creator: Weiß, Gereon
date: 2023-12-07T08:41:55Z
language: en
abstract: Results for autonomous driving scenarios simulated with CARLA under different environment conditions.
alternative: CARLA Scenarios
available: 2023-12-07T08:41:55Z
has part: CARLA Scenarios.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/126
issued: 2023-12-01
rights: https://creativecommons.org/licenses/by-nc/4.0/
doi: doi:10.24406/fordatis/312
uri: https://fordatis.fraunhofer.de/handle/fordatis/370
sparql endpoint: sparql

Dataset for multi-camera depth reconstruction
has bitstream: Scene 3.tar
has bitstream: Scene 1.tar
has bitstream: Scene 2.tar
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
group: IUK-Technologie
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
projectacronym: KISS
projectid: 01IS1907A
projectname: KI-Labor Systemdesign für Maschinelles Lernen in Anwendungen der Signalverarbeitung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Ziegler, Matthias
creator: Ziegler, Matthias
date: 2022-07-06T08:29:29Z
language: en
publisher: Coffee Bean State University
abstract: This dataset is composed from three different scenes with a varying number of takes per scene. The images have been generated using CARLA, a framework for autonomeous driving. In the dataset, an autonomeous car is exploring an urban area under different lighting and weather conditions. In each take, the car is equipped with three front-facing cameras capturing the scenery. Besides pure RGB image data, the dataset features ground-truth depth information encoded as described here: https://carla.readthedocs.io/en/latest/ref_sensors/#depth-camera The camera parameters and capture setup is as follows: Field of view: 110° Resolution: 1920 x 1080 Number of takes: Scene 1: 41 Scene 2: 23 Scene 3: 20 Camera baseline Scene 1: 0.280833m (2.17m/12) Scene 2 and 3: 0.1m
available: 2022-07-06T08:29:29Z
has part: Scene 3.tar
has part: Scene 1.tar
has part: Scene 2.tar
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2022-06-03
modified: 2022-06-03T08:20:19Z
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/202
uri: https://fordatis.fraunhofer.de/handle/fordatis/273
sparql endpoint: sparql

Software solution for life data analysis
has bitstream: Software solutions for Life Data Analysis.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
contributor: Thiele, Gregor
contributor: Krämer, Jonathan
creator: Krämer, Jonathan
date: 2021-04-19T07:22:31Z
language: en
abstract: List of available and outdated software solutions for life data analysis
available: 2021-04-19T07:22:31Z
has part: Software solutions for Life Data Analysis.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2020-07-24
rights: https://creativecommons.org/licenses/by-nc/4.0/
title: Softwarelösungen für Lebensdatenanalyse
doi: doi:10.24406/fordatis/114
uri: https://fordatis.fraunhofer.de/handle/fordatis/188
sparql endpoint: sparql

Can Large Language Models (LLMs) compete with Human Requirement Reviewers? - Replication of an Inspection Experiment on Requirements Documents
has bitstream: profes24 published data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
projectacronym: DeepQuali
projectid: 01IS23016D
projectname: DeepQuali - Anwendung von Deep Learning auf Software-Repositories zur Qualitätsbewertung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Honroth, Thorsten
contributor: Jedlitschk, Andreas
contributor: Jöckel, Lisa
contributor: Seifert, Daniel
contributor: Ciolkowski, Marcus
contributor: Trendowicz, Adam
creator: Honroth, Thorsten
creator: Jedlitschk, Andreas
creator: Jöckel, Lisa
creator: Seifert, Daniel
creator: Ciolkowski, Marcus
creator: Trendowicz, Adam
date: 2024-08-06T12:55:50Z
language: en
abstract: This is the data for the paper "Can Large Language Models (LLMs) Compete with Human Requirements Reviewers? – Replication of an Inspection Experiment on Requirements Documents". It contains the source code of the experiment to make our work transparent and reproducible. Furthermore, it contains the evaluation results.
available: 2024-08-06T12:55:50Z
has part: profes24 published data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2024-08-01
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/359
uri: https://fordatis.fraunhofer.de/handle/fordatis/411
sparql endpoint: sparql

CrossTest
has bitstream: CrossTest.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
projectacronym: AICAS
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Kummerow, Andre
contributor: Nicolai, Steffen
contributor: Meshram, Ankush
contributor: Haas, Christian
contributor: Rösch, Dennis
contributor: Karch, Markus
creator: Kummerow, Andre
creator: Nicolai, Steffen
creator: Meshram, Ankush
creator: Haas, Christian
creator: Rösch, Dennis
creator: Karch, Markus
date: 2023-03-07T14:56:49Z
language: en
abstract: PCAPs of the paper "CrossTest: A cross-domain physical testbed environment for cybersecurity performance evaluations".
alternative: A cross-domain physical testbed environment for cybersecurity performance evaluations
available: 2023-03-07T14:56:49Z
has part: CrossTest.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2023
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/250
uri: https://fordatis.fraunhofer.de/handle/fordatis/314
sparql endpoint: sparql

Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
has bitstream: confquestions.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
group: Innovationsforschung
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
projectid: 68GX21007D
projectname: OpenGPT-X
contributor: Hahn, Luzian
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Hinze, Chris
contributor: Küch, Fabian
contributor: Foltyn, Andreas
contributor: Schlotthauer, Joel
contributor: Saha Roy, Rishiraj
creator: Hahn, Luzian
creator: Hinze, Chris
creator: Küch, Fabian
creator: Foltyn, Andreas
creator: Schlotthauer, Joel
creator: Saha Roy, Rishiraj
date: 2025-03-20T14:01:23Z
language: en
abstract: Retrieval Augmented Generation (RAG) works as a backbone for interacting with an enterprise's own data via Conversational Question Answering (ConvQA). In a RAG system, a retriever fetches passages from a collection in response to a question, which are then included in the prompt of a large language model (LLM) for generating a natural language (NL) answer. However, several RAG systems today suffer from two shortcomings: (i) retrieved passages usually contain their raw text and lack appropriate document context, negatively impacting both retrieval and answering quality; and (ii) attribution strategies that explain answer generation typically rely only on similarity between the answer and the retrieved passages, thereby only generating plausible but not causal explanations. In this work, we demonstrate RAGONITE, a RAG system that remedies the above concerns by: (i) contextualizing evidence with source metadata and surrounding text; and (ii) computing counterfactual attribution, a causal explanation approach where the contribution of an evidence to an answer is determined by the similarity of the original response to the answer obtained by removing that evidence. To evaluate our proposals, we release a new benchmark ConfQuestions: it has 300 hand-created conversational questions, each in English and German, coupled with ground truth URLs, completed questions, and answers from 215 public Confluence pages. These documents are typical of enterprise wiki spaces with heterogeneous elements. Experiments with RAGONITE on ConfQuestions show the viability of our ideas: contextualization improves RAG performance, and counterfactual explanations outperform standard attribution.
available: 2025-03-20T14:01:23Z
has part: confquestions.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2025-03-10
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/390
uri: https://fordatis.fraunhofer.de/handle/fordatis/435
sparql endpoint: sparql

Experimental Characterization, FEA Simulation, and Analytical Modelling of Piezoelectric Microvalve with multiple Valve Seat Trenches
has bitstream: Experimental Characterization.zip
has bitstream: LeakageRate Modelling.zip
has bitstream: FEA Parameter Study.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
funding programme: Elektronische Systeme
projectacronym: ADOS
projectid: ESB071/002
projectname: Piezoelektrische Metall-Mikromembranpumpe für Flüssigkeiten und Gase
contributor: Durasiewicz, Claudia Patricia
contributor: Güntner, Sophia
contributor: Schrag, Gabriele
contributor: Maier, Philipp Klaus
contributor: Hölzl, Wolfgang
contributor: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWi
creator: Durasiewicz, Claudia Patricia
creator: Güntner, Sophia
creator: Schrag, Gabriele
creator: Maier, Philipp Klaus
creator: Hölzl, Wolfgang
date: 2021-08-06T12:03:00Z
language: en
abstract: This dataset contains experimental data as a characterisation of piezoelectric microvalves. Measurement data includes the actuator stroke measured using white light profilometry, as well as fluidic measurements of generated flow, passive flow, and leakage measured using coriflow flowmeters. Experimental data before and after 10^6 actuation cycles fatigue test is supplied. An COMSOL Multiphysics project file is given as part of an evaluation of a design parameter study as well as simulation results in form of csv data. Analytical modelling of leakage rates is implemented in python scripts and associated text files contain calculation results.
available: 2021-08-06T12:03:00Z
has part: Experimental Characterization.zip
has part: LeakageRate Modelling.zip
has part: FEA Parameter Study.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
issued: 2021-08-04
rights: https://creativecommons.org/licenses/by/4.0/
title: Experimentelle Charakterisierung, FEM Simulation und analytische Modellierung einer piezoelektrischen Mikroventils mit mehreren Ventilsitzgräben
doi: doi:10.24406/fordatis/145
uri: https://fordatis.fraunhofer.de/handle/fordatis/218
sparql endpoint: sparql

Scanning acoustic microscope images for the localization of defects inside dummy pouch cells
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Pitta Bauermann, Luciana
contributor: Münch, Johannes
contributor: Kroll, Moritz
creator: Pitta Bauermann, Luciana
date: 2023-07-26T12:22:32Z
language: en
abstract: The identification and location of critical defects inside battery cells before the performance decreases or safety issues arise remains a challenge. Here we show images acquired from Scanning Acoustic Microscopy (SAM) as a non-destructive testing methods for the 3D visualization of defects at different depths inside a pouch battery cell. A manufactured dummy pouch cell with 8 cathode sheets is used for this investigation. SAM using a 15 MHz transducer in reflection mode can detect defects with a lateral resolution of 150 µm in 2 min. The time intervals of each micrograph have a length of 30 ns. The images are acquired with a resolution of with a pixel dimension of 50 x 50 μm²/ pixel.
available: 2023-07-26T12:22:32Z

Benchmarking Learnable Mesh and Texture Representations for Immersive Digital Twins
has bitstream: PencilStand down2.zip
has bitstream: Lamp down2.zip
has bitstream: RattleCar down8.zip
has bitstream: CameraArray down8.zip
has bitstream: RattleCar down2.zip
has bitstream: CameraArray orig.zip
has bitstream: PencilStand down8.zip
has bitstream: RattleCar orig.zip
has bitstream: PencilStand orig.zip
has bitstream: Lamp down8.zip
has bitstream: PencilStand down4.zip
has bitstream: CameraArray down4.zip
has bitstream: Lamp orig.zip
has bitstream: RattleCar down4.zip
has bitstream: Lamp down4.zip
has bitstream: CameraArray down2.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
projectacronym: Opt-3D-SSO
projectname: Optimizing neural 3D reconstruction rendering quality for small-sized objects
contributor: Keinert, Joachim
contributor: Bätz, Michel
contributor: Gul, Muhammad Shahzeb Khan
contributor: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie StMWi
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Berg, André
contributor: Müller, Linus
contributor: Gray, Timothy
contributor: Kalle, Chetana Avina
contributor: Schinabeck, Christian
creator: Keinert, Joachim
creator: Bätz, Michel
creator: Gul, Muhammad Shahzeb Khan
creator: Berg, André
creator: Müller, Linus
creator: Gray, Timothy
creator: Schinabeck, Christian
date: 2025-07-10T11:16:50Z
language: en
abstract: Neural radiance fields (NeRF) and 3D Gaussian splatting (3DGS) use volumetric scene representations to achieve impressive visual results in the field of novel-view synthesis. However, traditional 3D pipelines are dominated by textured meshes, supported by hardware assisted rendering and a huge software ecosystem. We show that mesh-based workflows can also profit from those novel reconstruction methods by evaluating mesh reconstruction algorithms paired with view-dependent textures in terms of texture sharpness, surface accuracy and real-time rendering performance. For that purpose, we employ a modular 3D reconstruction pipeline and use it to benchmark not only publicly available data sets, but additionally four new high-quality data sets of our own. These data sets capture different objects containing both reflective and uniform surface characteristics.
available: 2025-07-10T11:16:50Z
has part: PencilStand down2.zip
has part: Lamp down2.zip
has part: RattleCar down8.zip
has part: CameraArray down8.zip
has part: RattleCar down2.zip
has part: CameraArray orig.zip
has part: PencilStand down8.zip
has part: RattleCar orig.zip
has part: PencilStand orig.zip
has part: Lamp down8.zip
has part: PencilStand down4.zip
has part: CameraArray down4.zip
has part: Lamp orig.zip
has part: RattleCar down4.zip
has part: Lamp down4.zip
has part: CameraArray down2.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2025-06
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/404
uri: https://fordatis.fraunhofer.de/handle/fordatis/448
sparql endpoint: sparql

Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing
has bitstream: evaluation data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
rawdata: false
contributor: Borcherding, Anne
contributor: Häring, Johannes
contributor: Giraud, Mark Leon
creator: Borcherding, Anne
creator: Häring, Johannes
creator: Giraud, Mark Leon
date: 2025-04-03T12:47:39Z
language: en
abstract: Complementary data for the paper "Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing" published at the 6th ACM/IEEE International Conference on Automation of Software Test (AST 2025). A Jupyter notebook for visualizing the data can be found here: https://github.com/anneborcherding/palpebratum
available: 2025-04-03T12:47:39Z
has part: evaluation data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/10
issued: 2025-04
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/391
uri: https://fordatis.fraunhofer.de/handle/fordatis/436
sparql endpoint: sparql

Scanning acoustic microscope images for the localization of defects inside dummy pouch cells
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Pitta Bauermann, Luciana
contributor: Münch, Johannes
contributor: Kroll, Moritz
creator: Pitta Bauermann, Luciana
date: 2023-09-19T12:14:33Z
language: en
abstract: The identification and location of critical defects inside battery cells before the performance decreases or safety issues arise remains a challenge. Here we show images acquired from Scanning Acoustic Microscopy (SAM) as a non-destructive testing methods for the 3D visualization of defects at different depths inside a pouch battery cell. A manufactured dummy pouch cell with 8 cathode sheets is used for this investigation. SAM using a 15 MHz transducer in reflection mode can detect defects with a lateral resolution of 150 µm in 2 min. The time intervals of each micrograph have a length of 30 ns. The images are acquired with a resolution of with a pixel dimension of 50 x 50 μm²/ pixel.
available: 2023-07-26T12:22:32Z
available: 2023-09-19T12:14:33Z

Raw Data: Gas phase lubrication study with an organic friction modifier
has bitstream: Raw-data XPS.7z
has bitstream: Raw-data tribometer.7z
has bitstream: Raw-data mass-Spectrometer.7z
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
contributor: Daum, Philipp
contributor: Eickworth, Jennifer
contributor: Rühle, Thomas
contributor: Wagner, Jonas
contributor: Dienwiebel, Martin
creator: Daum, Philipp
creator: Eickworth, Jennifer
creator: Wagner, Jonas
date: 2021-07-01T13:14:01Z
language: en
abstract: XPS / tribometer / mass spectrometer raw data supporting the publication "Gas phase lubrication study with an organic friction modifier"
available: 2021-07-01T13:14:01Z
has part: Raw-data XPS.7z
has part: Raw-data tribometer.7z
has part: Raw-data mass-Spectrometer.7z
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021-06-16
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/133
uri: https://fordatis.fraunhofer.de/handle/fordatis/206
sparql endpoint: sparql

Virtual-Reality-Simulationstraining in der Notfallsanitäterausbildung
has bitstream: Items gesamt VR November 2018.xlsx
has bitstream: Items gesamt VR Juli 2018.xlsx
has bitstream: Items gesamt FB Juli 2018.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
funding programme: Digitale Medien in der beruflichen Bildung
research framework programm: Berufsbildung 4.0
projectacronym: EPICSAVE
projectid: 01PD15004
projectname: Enhanced ParamedIC vocational training with Serious games And Virtual Environments
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Lerner, Dieter
contributor: Wichmann, Dominik
contributor: Wegner, Konstantin
creator: Lerner, Dieter
creator: Wichmann, Dominik
creator: Wegner, Konstantin
date: 2019-09-11T14:26:06Z
language: de
abstract: Highly immersive virtual realities (VR) offer a variety of opportunities for simulation training. This article presents the approach of integrating a VR simulation environment into the practice of emergency paramedic education. The article concludes with the presentation of the results from an evaluation study.
abstract: Hochimmersive virtuelle Realitäten (VR) bieten vielfältige Möglichkeiten für das Simulationstraining. In diesem Beitrag wird die Vorgehensweise der Integration einer VR-Simulationsumgebung in die Praxis der Notfallsanitäterausbildung vorgestellt. Der Fachbeitrag schließt mit der Darstellung der Ergebnisse aus der Praxisstudie ab. @de
available: 2019-09-11T14:26:06Z
created: 2018-11
has part: Items gesamt VR November 2018.xlsx
has part: Items gesamt VR Juli 2018.xlsx
has part: Items gesamt FB Juli 2018.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2019
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/2
uri: https://fordatis.fraunhofer.de/handle/fordatis/83
sparql endpoint: sparql

Multiprofessionelle Evaluation des Trainings von Auszubildenden im Beruf Notfallsanitäter:in und Teilnehmenden der Fachweiterbildung Notfallpflege in Extended Reality
has bitstream: results-survey532777.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
projectacronym: ViTAWiN
projectid: 01PV18006
projectname: Virtuell-augmentiertes Training für die Aus- und Weiterbildung in der interprofessionellen Notfallversorgung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Luiz, Thomas
contributor: Elsenbast, Christian
creator: Elsenbast, Christian
date: 2022-03-10T16:17:21Z
language: de
abstract: The research data refer to a formative project evaluation in the BMBF-funded project ViTAWiN.In addition to socio-demographic data from 41 participants, presence (Igroup Presence Questionnaire, Schubert et al.), simulator sickness (Sim. Sickn. Quest., Kennedy), situational motivation (Situational Motivation Scale, Guay) and usability (System Usability Scale, Brook) are recorded.
available: 2022-03-10T16:17:21Z
has part: results-survey532777.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2021
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Multi-professional evaluation of the training of paramedic trainees and participants of the advanced training in emergency care in extended reality
doi: doi:10.24406/fordatis/178
uri: https://fordatis.fraunhofer.de/handle/fordatis/250
sparql endpoint: sparql

Wind turbine gearbox simulation data
has bitstream: accln 5Wcr 1ep 10tc.mat
has bitstream: accln 13Wh 3ep.mat
has bitstream: accln 5Wh 3ep.mat
has bitstream: accln 5Wcr 2ep 10tc.mat
has bitstream: accln 5Wcr 1ep 16tc.mat
has bitstream: accln 13Wcr 3ep 16tc.mat
has bitstream: accln 5Wcr 2ep 16tc.mat
has bitstream: accln 5Wcr 3ep 16tc.mat
has bitstream: accln 5Wcr 3ep 10tc.mat
has bitstream: accln 13Wcr 3ep 10tc.mat
has bitstream: accln 13Wh 2ep.mat
has bitstream: accln 13Wcr 2ep 10tc.mat
has bitstream: accln 13Wcr 1ep 16tc.mat
has bitstream: accln 5Wcr 1ep 13tc.mat
has bitstream: accln 5Wcr 2ep 13tc.mat
has bitstream: accln 5Wh 2ep.mat
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
institute: SCAI Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen
rawdata: true
projectacronym: MADESI
projectid: 01IS18043A
projectname: Maschine Lernverfahren für Stochastisch-Deterministische Multi-Sensor Signale
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Iza Teran, Victor Rodrigo
contributor: Garcke, Jochen
contributor: Climaco, Paolo
contributor: Lecei, Ivan
creator: Iza Teran, Victor Rodrigo
creator: Garcke, Jochen
creator: Climaco, Paolo
creator: Lecei, Ivan
date: 2022-03-31T03:46:51Z
language: en
abstract: Files containing acceleration signals, representing the vibration response of the modelled gearbox for three full rotations of the shaft. S={5,13} indicates the wind (W) speed considered in the simulation, while X={h,cr} indicates the health condition. 'cr' indicates that the simulation includes the cracked tooth. On the contrary, 'h' indicates that the signal has been produced considering a healthy gearbox and not including damage. Y= {1,2,3} indicates the set of excitation parameters chosen to simulate the signal. The three different excitation parameters (ep) settings used for the experiments can be consulted in Table 4 of the paper. Z={10,13,16} relates to the different crack lengths simulated. Specifically, it indicates the percentage of the dimensionless stiffness function's decrease applied to simulate the tooth crack (tc).
available: 2022-03-31T03:46:51Z
has part: accln 5Wcr 1ep 10tc.mat
has part: accln 13Wh 3ep.mat
has part: accln 5Wh 3ep.mat
has part: accln 5Wcr 2ep 10tc.mat
has part: accln 5Wcr 1ep 16tc.mat
has part: accln 13Wcr 3ep 16tc.mat
has part: accln 5Wcr 2ep 16tc.mat
has part: accln 5Wcr 3ep 16tc.mat
has part: accln 5Wcr 3ep 10tc.mat
has part: accln 13Wcr 3ep 10tc.mat
has part: accln 13Wh 2ep.mat
has part: accln 13Wcr 2ep 10tc.mat
has part: accln 13Wcr 1ep 16tc.mat
has part: accln 5Wcr 1ep 13tc.mat
has part: accln 5Wcr 2ep 13tc.mat
has part: accln 5Wh 2ep.mat
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/81
issued: 2022
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/191
uri: https://fordatis.fraunhofer.de/handle/fordatis/262
sparql endpoint: sparql

CherrySet - A comprehensive dataset of three cherry trees throughout the 2023 season
has bitstream: CherrySet 2023 reference data.csv
has bitstream: 23 07 14.zip
has bitstream: 23 06 05.zip
has bitstream: readme.txt
has bitstream: 23 03 17.zip
has bitstream: 23 04 14.zip
has bitstream: 23 07 11.zip
has bitstream: 23 06 16.zip
has bitstream: 23 03 23 incomplete.zip
has bitstream: 23 05 23.zip
has bitstream: 23 04 27.zip
has bitstream: 23 05 03.zip
has bitstream: 23 04 24.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
group: Mikroelektronik
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen
rawdata: false
projectname: For5G
contributor: Killer, Annika
contributor: Stamminger, Marc
contributor: Uhrmann, Franz
contributor: Kittemann, Dominikus
contributor: Keil, Fabian
contributor: Meyer, Lukas
contributor: Scholz, Oliver
contributor: Noack, Patrick
contributor: Gilson, Andreas
contributor: Bundesministerium für Digitales und Verkehr BMDV (Deutschland)
creator: Killer, Annika
creator: Stamminger, Marc
creator: Uhrmann, Franz
creator: Kittemann, Dominikus
creator: Keil, Fabian
creator: Meyer, Lukas
creator: Scholz, Oliver
creator: Noack, Patrick
creator: Gilson, Andreas
date: 2024-02-08T09:32:42Z
language: en
abstract: CherrySet encompasses a collection of 2D images covering three sweet cherry trees at more than 10 distinct time points, spanning from dormancy in March through blooming and growth until harvest in July 2023. In addition to the image data, CherrySet offers manually recorded ground truth information obtained from reference branches throughout the growing season, which includes comprehensive bud, blossoms and fruit counts during all vegetation phases, as well as the total number of cherries gathered at harvest.
available: 2024-02-08T09:32:42Z
has part: CherrySet 2023 reference data.csv
has part: 23 07 14.zip
has part: 23 06 05.zip
has part: readme.txt
has part: 23 03 17.zip
has part: 23 04 14.zip
has part: 23 07 11.zip
has part: 23 06 16.zip
has part: 23 03 23 incomplete.zip
has part: 23 05 23.zip
has part: 23 04 27.zip
has part: 23 05 03.zip
has part: 23 04 24.zip
is part of: 10.22541/essoar.169772185.54179940/v1
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/33
issued: 2023-10-19
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/327
uri: https://fordatis.fraunhofer.de/handle/fordatis/383
sparql endpoint: sparql

Urban Data Partnership
has bitstream: Uebersicht Vorgehensmodell de.pdf
has bitstream: Uebersicht Vorgehensmodell de.pptx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
institute: IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
institute: IAO Fraunhofer-Institut für Arbeitswirtschaft und Organisation
rawdata: false
projectacronym: UDP
projectname: Morgenstadt Urban Data Partnership
contributor: Sautter, Johannes
contributor: Dobrokhotova, Ekaterina
contributor: Kirchner, Joel
contributor: Krauß, Jennifer
contributor: Henze-Sakowsky, Annika
contributor: Tcholtchev, Nikolay
contributor: Annies, Jeannette
contributor: Radecki, Alanus von
contributor: Westkamp, Nicolas
contributor: Ottendörfer, Eva
contributor: Borcherding, Anders
contributor: Lämmel, Philipp
contributor: Wendt, Willi
creator: Sautter, Johannes
creator: Dobrokhotova, Ekaterina
creator: Kirchner, Joel
creator: Krauß, Jennifer
creator: Henze-Sakowsky, Annika
creator: Tcholtchev, Nikolay
creator: Annies, Jeannette
creator: Radecki, Alanus von
creator: Westkamp, Nicolas
creator: Ottendörfer, Eva
creator: Borcherding, Anders
creator: Lämmel, Philipp
creator: Wendt, Willi
date: 2024-10-21T11:17:58Z
language: de
abstract: Übersicht über die einzelnen Prozessschritte des Datenmanagements sowie über die zugehörigen Arbeitshilfen. @de
available: 2024-10-21T11:17:58Z
has part: Uebersicht Vorgehensmodell de.pdf
has part: Uebersicht Vorgehensmodell de.pptx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
issued: 2022
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/234
uri: https://fordatis.fraunhofer.de/handle/fordatis/298
sparql endpoint: sparql

Soil organic carbon of land use impacts in life cycle assessment
has bitstream: occ 4.zip
has bitstream: occ 7.zip
has bitstream: occ 5.zip
has bitstream: trans 5.zip
has bitstream: trans 4.zip
has bitstream: trans 7.zip
has bitstream: occ 8.zip
has bitstream: tran 1.zip
has bitstream: trans 8.zip
has bitstream: occ 1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
institute: IBP Fraunhofer-Institut für Bauphysik
rawdata: false
contributor: Uusitalo, Ville
contributor: Hiederer, Roland
contributor: Horn, Rafael
contributor: Sala, Serenella
contributor: Grant, Tim
contributor: Milà i Canals, Llorenç
contributor: Bessou, Cecile
contributor: De Laurentiis, Valeria
contributor: Morais, Tiago
contributor: Maier, Stephanie
creator: Uusitalo, Ville
creator: Hiederer, Roland
creator: Horn, Rafael
creator: Sala, Serenella
creator: Grant, Tim
creator: Milà i Canals, Llorenç
creator: Bessou, Cecile
creator: De Laurentiis, Valeria
creator: Morais, Tiago
creator: Maier, Stephanie
date: 2024-04-08T14:08:21Z
language: en
abstract: Purpose: Anthropogenic activities are a major driver of soil and land degradation. Due to the spatial heterogeneity of soil properties and the global nature of most value chains, the modelling of the impacts of land use on soil quality for application in Life Cycle Assessment (LCA) requires a regionalised assessment with global coverage. This paper proposes an approach to quantify the impacts of land use, based on changes in soil organic carbon (SOC) stocks, following the latest recommendation of the Life Cycle Initiative. Methods: An operational set of SOC-based characterisation factors for land occupation and land transformation were derived using spatial datasets (1 km resolution) and aggregated at national and global level, by adopting an aggregation approach excluding those areas where a certain land use activity was not indicated in land use maps, to avoid the introduction of bias. The developed characterisation factors were tested by means of a case study analysis, investigating the impact on soil quality caused by land use activities necessary to provide three alternative energy supply systems for passenger car transport (biomethane, ethanol, and solar electricity). Results obtained by applying characterisation factors at local, regional and national level were compared, to investigate the role of the level of regionalisation on the resulting impacts. Results and discussion: Global maps of characterisation factors are presented for the 56 land use types commonly used in LCA databases, together with national and global values. Urban and industrial land uses present the highest impacts on SOC stocks, followed by severely degraded pastures and intensively managed arable lands. Instead, values obtained for extensive pastures, flooded crops, and urban green areas often report an increase in SOC stocks. Results show that the ranking of impacts of the three energy systems considered in the case study analysis is not affected by the level of regionalisation of the a…
available: 2024-04-08T14:08:21Z
has part: occ 4.zip
has part: occ 7.zip
has part: occ 5.zip
has part: trans 5.zip
has part: trans 4.zip
has part: trans 7.zip
has part: occ 8.zip
has part: tran 1.zip
has part: trans 8.zip
has part: occ 1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/2
issued: 2024-04-08
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/341
uri: https://fordatis.fraunhofer.de/handle/fordatis/395
sparql endpoint: sparql

Representative empirical survey and choice experiment on willingness to invest in PV battery systems
has bitstream: CBC Group B Utility Values.xlsx
has bitstream: CBC Group A Utility Values.xlsx
has bitstream: Raw data PV battery system fordatis.sav
has bitstream: Data coded PV battery system.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: Energiesystemanalyse
research framework programm: 6. Energieforschungsprogramm
projectacronym: Sozio-E2S
projectid: 03ET4041A
projectname: Open source Energiesystemmodellierung – Einfluss von soziokulturellen Faktoren auf Transformationspfade des deutschen Energiesystems
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Steingrube, Annette
contributor: Berneiser, Jessica
contributor: Senkpiel, Charlotte
contributor: Fluri, Verena
creator: Steingrube, Annette
creator: Berneiser, Jessica
creator: Senkpiel, Charlotte
creator: Fluri, Verena
date: 2020-03-31T05:43:03Z
language: de
abstract: The data set comprises data from a representative empirical survey, in which the investment behaviour of private individuals (homeowners) in PV battery systems was investigated. A combination of questionnaire and Discrete Choice Experiment (DCE) was chosen. The DCE differentiated between persons who already own a PV system but no battery storage and persons without a PV system. The DCE was analyzed using Hierarchical Bayes. The values in the DCE Excel sheets are individual (partial) utility values. In addition to investment-relevant factors, data on personal attitudes and barriers to investment were collected.
abstract: Der Datensatz umfasst Daten einer repräsentativen empirischen Erhebung, bei der das Investitionsverhalten von Privatpersonen (Hauseigentümer*innen) in PV-Batteriesysteme untersucht wurde. Es wurde eine Kombination aus Fragebogen und Discrete Choice Experiment (DCE) gewählt. Dabei wurde im DCE in Personen, die bereits eine PV-Anlage aber keinen Batteriespeicher besitzen und Personen ohne PV-Anlage unterschieden. Das DCE wurde mittels Hierarchical Bayes ausgewertet. Die Werte in den DCE Excelblättern sind individuelle (Teil-) Nutzenwerte. Neben investitionsrelevanter Faktoren wurden Daten zu persönlichen Einstellungen und Hemmnissen bzgl. einer Investition erfasst. @de
available: 2020-03-31T05:43:03Z
created: 2018-07
has part: CBC Group B Utility Values.xlsx
has part: CBC Group A Utility Values.xlsx
has part: Raw data PV battery system fordatis.sav
has part: Data coded PV battery system.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-04-01
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
title: Repräsentative empirische Erhebung zur Investitionsbereitschaft in PV-Batteriesysteme
doi: doi:10.24406/fordatis/67
uri: https://fordatis.fraunhofer.de/handle/fordatis/153
sparql endpoint: sparql

Towards a miniaturized photoacoustic sensor for application in transcutaneous CO2 monitoring
has bitstream: Figure6 0-30% CO2 measurement.zip
has bitstream: Figure8 0-20% Oxygen influence.zip
has bitstream: Figure7 30-70% Humidity influence.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: true
contributor: El-Safoury, Mahmoud
contributor: Weber, Christian
contributor: Fraunhofer-Gesellschaft FhG
contributor: Wöllenstein, Jürgen
contributor: Schmitt, Katrin
contributor: Yassine, Hassan
creator: El-Safoury, Mahmoud
creator: Weber, Christian
date: 2022-09-29T09:51:45Z
language: en
abstract: Measured microphone and NDIR detector signals
alternative: Supplementary data
available: 2022-09-29T09:51:45Z
has part: Figure6 0-30% CO2 measurement.zip
has part: Figure8 0-20% Oxygen influence.zip
has part: Figure7 30-70% Humidity influence.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2022
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/215
uri: https://fordatis.fraunhofer.de/handle/fordatis/286
sparql endpoint: sparql

Wetterdaten des Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany
has bitstream: 2022 measurements.csv
has bitstream: Metadata weather data ICT.pdf
has bitstream: 2023 measurements.csv
has bitstream: Lufft WS700-UMB Smart Weather Sensor.pdf
has bitstream: ws700 datasheet.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/6
institute: ICT Fraunhofer-Institut für Chemische Technologie
rawdata: true
contributor: Weisenburger, Philipp
contributor: Kuglstatter, Michael
creator: Weisenburger, Philipp
creator: Kuglstatter, Michael
date: 2024-10-31T13:49:41Z
language: en
abstract: The following data set contains meteorological data measured at the Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany. The measured values are available with a resolution of 15 minutes and grouped by year. The measurements were taken with a certified WS700 weather station from Lufft. The individual measurements, their ranges and the corresponding units are described below. The station is used at the ICT for monitoring weather conditions during outdoor experiments. Each day's measurements are automatically stored as individual csv files on a data server. A manual download of the data sets took place on 06.06.2024. For better usability, the individual measurements were combined into a single dataset for an entire year. This was done using a Python script.
available: 2024-10-31T13:49:41Z
has part: 2022 measurements.csv
has part: Metadata weather data ICT.pdf
has part: 2023 measurements.csv
has part: Lufft WS700-UMB Smart Weather Sensor.pdf
has part: ws700 datasheet.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/6
issued: 2024-10-31
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Meteorological data from Fraunhofer Institute for Chemical Technology ICT in Pfinztal, Germany
doi: doi:10.24406/fordatis/375
uri: https://fordatis.fraunhofer.de/handle/fordatis/424
sparql endpoint: sparql

Aluminum Plates Dual Dataset
has bitstream: Synth.zip
has bitstream: Synth WS 90deglight.zip
has bitstream: Synth WS biglight.zip
has bitstream: Synth WS.zip
has bitstream: Synth 90deglight.zip
has bitstream: Synth biglight.zip
has bitstream: Real clean.zip
has bitstream: Real defected.zip
has bitstream: readme.md
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
group: IUK-Technologie
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: true
contributor: Gospodnetic, Petra
contributor: Garth, Christoph
contributor: Fulir, Juraj
contributor: Mao, Runzhou
creator: Gospodnetic, Petra
creator: Garth, Christoph
creator: Fulir, Juraj
creator: Mao, Runzhou
date: 2024-08-21T13:26:01Z
language: en
abstract: 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.
alternative: Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities
available: 2024-08-21T13:26:01Z
has part: Synth.zip
has part: Synth WS 90deglight.zip
has part: Synth WS biglight.zip
has part: Synth WS.zip
has part: Synth 90deglight.zip
has part: Synth biglight.zip
has part: Real clean.zip
has part: Real defected.zip
has part: readme.md
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2024-08-19
rights: mit
doi: doi:10.24406/fordatis/361
uri: https://fordatis.fraunhofer.de/handle/fordatis/412
sparql endpoint: sparql

Simulation data set for deep drawing cups of DC04 steel sheets
has bitstream: target coords.npy
has bitstream: README.txt
has bitstream: target fldcrt.npy
has bitstream: input parameters.npy
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: true
projectacronym: Leitprojekt ML4P
contributor: Fraunhofer-Gesellschaft FhG
contributor: Pagenkopf, Jan
contributor: Morand, Lukas
contributor: Helm, Dirk
contributor: Butz, Alexander
contributor: Baiker, Maria
creator: Pagenkopf, Jan
creator: Morand, Lukas
creator: Helm, Dirk
creator: Butz, Alexander
creator: Baiker, Maria
date: 2021-08-06T12:24:00Z
language: en
abstract: This data set contains the results of 9999 finite element simulations of cup drawing processes that are conducted using the commercial software Abaqus/Explicit. For each process simulation, the input parameters (material dependent parameters and process parameters) were varied randomly. The material parameters were chosen based on typical fluctuations in DC04 steel sheets and possible process parameter settings following literature and norms.
available: 2021-08-06T12:24:00Z
has part: target coords.npy
has part: README.txt
has part: target fldcrt.npy
has part: input parameters.npy
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/134
uri: https://fordatis.fraunhofer.de/handle/fordatis/207
sparql endpoint: sparql

Simulation Decision Matrix_Analytical Hierarchy Process_data_expert survey
has bitstream: Simulation Decision Matrix Analytical Hierarchy Process raw data expert survey.xlsx
has bitstream: Simulation Decision Matrix Analytical Hierarchy Process data expert survey.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
rawdata: false
funding programme: RegioWIN 2030
research framework programm: European Regional Development Fund (ERDF)
projectid: ELR_2452419
projectname: H2BlackForest
contributor: European Commission EC
contributor: Schade, René
creator: Schade, René
date: 2025-02-24T15:46:36Z
language: en
abstract: Raw data and analysis results of the six experts of the analytical hierarchy process (AHP) expert survey. The expert survey was conducted for prioritising sub-criteria of the Simulation Decision Matrix (SDM). The SDM is primarily used for prioritising quality-critical product parameters of hydrogen technologies for simulation applications in their production process.
available: 2024-10-24T14:50:26Z
available: 2025-02-24T15:46:36Z
has part: Simulation Decision Matrix Analytical Hierarchy Process raw data expert survey.xlsx
has part: Simulation Decision Matrix Analytical Hierarchy Process data expert survey.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/373.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/422.2
sparql endpoint: sparql

Interlaminar Shear Strength (ILSS) test results for aged Aluminium-CFRP (thermoplastic) hybrid specimens
has bitstream: P3 V 230815 Probe2.csv
has bitstream: P1 V 230815 Probe5.csv
has bitstream: P3 H 230815 Probe2.csv
has bitstream: P3 V 230815 Probe5.csv
has bitstream: P3 H 230815 Probe3.csv
has bitstream: P3 H 230815 Probe4.csv
has bitstream: P2 H 230815 Probe2.csv
has bitstream: P2 H 230815 Probe1.csv
has bitstream: P1 V 230815 Probe2.csv
has bitstream: P2 H 230815 Probe5.csv
has bitstream: P1 V 230815 Probe1.csv
has bitstream: P1 V 230815 Probe3.csv
has bitstream: P2 H 230815 Probe4.xlsx
has bitstream: P2 H 230815 Probe3.csv
has bitstream: P3 H 230815 Probe5.csv
has bitstream: P1 V 230815 Probe4.csv
has bitstream: P3 V 230815 Probe3.csv
has bitstream: P3 H 230815 Probe1.csv
has bitstream: P3 V 230815 Probe4.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/45
institute: IWU Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik
rawdata: false
research framework programm: Horizon Europe
projectacronym: SALIENT
projectid: 101069600
projectname: Novel Concepts for Safer, Lighter, Circular and Smarter Vehicle Structure Design for Enhanced Crashworthiness and Higher Compatibility
contributor: European Commission EC
contributor: Meltke, Robert
contributor: Nossol, Patryk
contributor: Saleem, Arham
creator: Meltke, Robert
creator: Nossol, Patryk
creator: Saleem, Arham
date: 2025-07-01T13:16:38Z
language: en
abstract: Test data for interlaminar shear strength (ILSS) tests conducted as per DIN EN ISO 14130 on Aluminium-CFRP hybrid specimens. The specimens were manufactured by bonding Aluminium plate and thermoplastic CFRP tapes together in a hot press process. An adhesion promoter was applied on the Aluminium surface to facilitate bonding process. The hybrid material plates such manufactured were then conditioned in a cyclic climatic test according to standard PV1200. Finally the specimens were cut in standard sizes with water jet cutting and tested for their interlaminar shear strength.
available: 2025-07-01T13:16:38Z
has part: P3 V 230815 Probe2.csv
has part: P1 V 230815 Probe5.csv
has part: P3 H 230815 Probe2.csv
has part: P3 V 230815 Probe5.csv
has part: P3 H 230815 Probe3.csv
has part: P3 H 230815 Probe4.csv
has part: P2 H 230815 Probe2.csv
has part: P2 H 230815 Probe1.csv
has part: P1 V 230815 Probe2.csv
has part: P2 H 230815 Probe5.csv
has part: P1 V 230815 Probe1.csv
has part: P1 V 230815 Probe3.csv
has part: P2 H 230815 Probe4.xlsx
has part: P2 H 230815 Probe3.csv
has part: P3 H 230815 Probe5.csv
has part: P1 V 230815 Probe4.csv
has part: P3 V 230815 Probe3.csv
has part: P3 H 230815 Probe1.csv
has part: P3 V 230815 Probe4.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/45
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/392
uri: https://fordatis.fraunhofer.de/handle/fordatis/437
sparql endpoint: sparql

Sets of exemplary microstructure-property data generated via active learning and numerical simulations
has bitstream: 2 paramident qbc params.txt
has bitstream: 2 paramident lhd params.txt
has bitstream: 1 dirac qbc y.txt
has bitstream: 3 rolling qbc Rle5 params.txt
has bitstream: 1 dirac random X.txt
has bitstream: 1 dirac qbc X.txt
has bitstream: 3 rolling qbc params.txt
has bitstream: 2 paramident lhd curves.txt
has bitstream: 3 rolling lhs props.txt
has bitstream: 2 paramident kbs curves.txt
has bitstream: 2 paramident qbc curves.txt
has bitstream: 3 rolling lhs params.txt
has bitstream: 1 dirac random y.txt
has bitstream: 3 rolling qbc props.txt
has bitstream: 2 paramident kbs params.txt
has bitstream: README.txt
has bitstream: 3 rolling qbc Rle5 props.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Mikroelektronik
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: true
projectid: 415804944
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Dornheim, Johannes
contributor: Iraki, Tarek
contributor: Morand, Lukas
contributor: Helm, Dirk
contributor: Link, Norbert
creator: Dornheim, Johannes
creator: Iraki, Tarek
creator: Morand, Lukas
creator: Helm, Dirk
creator: Link, Norbert
date: 2021-11-10T13:24:22Z
language: en
abstract: This publication contains three exemplary data sets generated via active learning and numerical simulations. The active learning approach used is query-by-committee. For comparison, data is also generated using classical sampling approachs. The first data set originates from a toy example that is based on an appoximated Dirac delta function, for which data was generated randomly and via query-by-committee. The second example is part of a parameter identification problem in materials modeling, for which data was generated via Latin Hypercube design, a knowledge-based approach and query-by-committee. The third example is about generating artificial bcc rolling textures, for which data was generated via Latin Hypercube design, query-by-committee and an extended query-by-committee approach that prevents sampling in regions out of scope.
available: 2021-11-10T13:24:22Z
has part: 2 paramident qbc params.txt
has part: 2 paramident lhd params.txt
has part: 1 dirac qbc y.txt
has part: 3 rolling qbc Rle5 params.txt
has part: 1 dirac random X.txt
has part: 1 dirac qbc X.txt
has part: 3 rolling qbc params.txt
has part: 2 paramident lhd curves.txt
has part: 3 rolling lhs props.txt
has part: 2 paramident kbs curves.txt
has part: 2 paramident qbc curves.txt
has part: 3 rolling lhs params.txt
has part: 1 dirac random y.txt
has part: 3 rolling qbc props.txt
has part: 2 paramident kbs params.txt
has part: README.txt
has part: 3 rolling qbc Rle5 props.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2021
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/146
uri: https://fordatis.fraunhofer.de/handle/fordatis/219
sparql endpoint: sparql

Messdaten - Referenzelektroden in einer segmentierten Along the Channel PEM-Wasser-Elektrolysezelle
has bitstream: 2024-07-02 2024 07 11 RE data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Energietechnologien und Klimaschutz
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
funding programme: H2Giga
projectacronym: StacIE
projectid: 03HY103F
projectname: NG2: StacIE Stack Scale up – Industrialisierung PEM Elektrolyse
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Hensle, Niklas
contributor: Pellegrino, Alessandra
contributor: Smolinka, Tom
creator: Hensle, Niklas
creator: Pellegrino, Alessandra
date: 2024-11-20T09:39:51Z
language: en
abstract: This data set implies measurement data of two measurements done with laser ablation reference electrodes in a segmented Along the Channel cell for PEM water electrolysis.
available: 2024-11-20T09:39:51Z
has part: 2024-07-02 2024 07 11 RE data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2024-12-01
rights: https://creativecommons.org/licenses/by/4.0/
title: Measurement Data - Reference Electrodes in a segmented Along the Channel PEM Water Electrolysis Cell
doi: doi:10.24406/fordatis/376
uri: https://fordatis.fraunhofer.de/handle/fordatis/425
sparql endpoint: sparql

The effect of low-carbon processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis
has bitstream: Data ExcessHeat.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
rawdata: false
contributor: Fraunhofer-Gesellschaft FhG
contributor: Eichhammer, Wolfgang
contributor: Manz, Pia
contributor: Fleiter, Tobias
creator: Eichhammer, Wolfgang
creator: Manz, Pia
creator: Fleiter, Tobias
date: 2023-03-23T14:56:04Z
language: en
abstract: The two datasets are supplement to the publication Manz, Pia; Fleiter, Tobias; Eichhammer, Wolfang: "The effect of low-carbon processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis" (to be published). Excess heat from industrial processes can be utilized in district heating networks, thereby reducing the primary energy demand and possibly CO2 emissions for district heating generation. Many studies found a substantial potential of industrial excess heat; however, they did not systematically consider the potential future changes in the energy system that will affect the potential excess heat utilization. Industrial production will transform to low-carbon processes and district heating needs to be generated without fossil fuels. Here, we quantify industrial excess heat by spatial matching for the EU-27, considering the impact of the transformation to a climate-neutral energy system. In a first step, excess heat potentials from energy-intensive industries are identified as point sources, taking into account process changes. In a subsequent step, the excess heat potentials are spatially matched to district heating areas with a GIS-based approach. The results show, that available excess heat will reduce significantly due to industry transformation. At the same time, the utilization potential could be increased by lower district heating system temperatures and by an expansion of district heating areas, resulting in 3 - 36 TWh/a. Locally, there is a significant contribution of industrial excess heat in the future, even though the major share will need to be supplied by renewables.
available: 2023-03-23T14:56:04Z
has part: Data ExcessHeat.xlsx
is part of: Journal paper publication: Manz, P; Fleiter, T.; Eichhammer, W.: The effect of climate-neutral processes on industrial excess heat potentials for district heating in the EU: a GIS-based analysis, Smart Energy, 2023 [under review]
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-04
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/252
uri: https://fordatis.fraunhofer.de/handle/fordatis/316
sparql endpoint: sparql

Policy Specification Experiment
has bitstream: DB.zip
has bitstream: Variable Values.xlsx
has bitstream: Results.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
projectacronym: IUNO
projectacronym: TrUSD
projectid: 16KIS0328
projectid: 16KIS0898
projectname: Transparente und Selbstbestimmte Ausgestaltung der Datennutzung im Unternehmen
projectname: Nationales Referenzprojekt zur IT-Sicherheit in der Industrie 4.0
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Polst, Svenja
contributor: Rudolph, Manuel
creator: Polst, Svenja
creator: Rudolph, Manuel
date: 2019-09-18T08:44:05Z
language: en
abstract: Results (primary data) of the experiment on matching user types of Dupree to different policy specification paradigms for achieving better effectiveness, efficiency and satisfaction in the context of privacy settings for SRA services.
available: 2019-09-18T08:44:05Z
created: 2018-02-22
has part: DB.zip
has part: Variable Values.xlsx
has part: Results.xlsx
is part of: 10.18420/muc2018-mci-0192
is part of: 10.1007/978-3-030-15538-4_3
is part of: 10.18420/muc2019-ws-302-05
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2019
rights: https://creativecommons.org/licenses/by-nd/4.0/
doi: doi:10.24406/fordatis/15
uri: https://fordatis.fraunhofer.de/handle/fordatis/96
sparql endpoint: sparql

Data for "Machine learning-based sampling of virtual experiments within the full stress state"
has bitstream: data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectid: IGF grant number: 21466 N
projectid: DFG project number: 415804944
projectid: IGF grant number: 19707 N
projectname: Maßgeschneiderte Werkstoffeigenschaften durch Mikrostrukturoptimierung: Maschinelle Lernverfahren zur Modellierung und Inversion von Struktur-Eigenschafts-Beziehungen und deren Anwendung auf Blechwerkstoffe
projectname: Verbesserte Blechumformsimulation durch 3D-Werkstoffmodelle und erweiterte Schalenformulierungen - Teil 2
projectname: Verbesserte Blechumformsimulation durch 3D-Werkstoffmodelle und erweiterte Schalenformulierungen
contributor: Deutsche Forschungsgemeinschaft DFG
contributor: Morand, Lukas
contributor: Helm, Dirk
contributor: Butz, Alexander
contributor: Wessel, Alexander
contributor: Volk, Wolfram
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
creator: Morand, Lukas
creator: Helm, Dirk
creator: Butz, Alexander
creator: Wessel, Alexander
creator: Volk, Wolfram
date: 2024-05-13T09:29:41Z
language: en
abstract: Data for "Machine learning-based sampling of virtual experiments within the full stress state" by Alexander Wessel, Lukas Morand, Alexander Butz, Dirk Helm and Wolfram Volk.
available: 2022-11-17T11:44:59Z
available: 2024-05-13T09:29:41Z
has part: data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2022-10-31
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/225.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/292.2
sparql endpoint: sparql

Digitalpolitik und Engagement
has bitstream: Archiv.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
projectacronym: ÖFIT
projectid: IT 1 - 17000/11#2
projectname: Kompetenzzentrum Öffentliche IT
contributor: Weber, Mike
contributor: Welzel, Christian
contributor: Krenn, Karoline
contributor: Opiela, Nicole
contributor: Bundesministerium des Innern, für Bau und Heimat BMI (Deutschland)
creator: Weber, Mike
creator: Welzel, Christian
creator: Krenn, Karoline
creator: Opiela, Nicole
date: 2020-08-13T07:39:08Z
language: de
abstract: In der Umfrage zu Digitalpolitik und digitalem Engagement geht es um den digitalen Wandel und die Einschätzungen der Bevölkerung zur politischen Ausgestaltung der Digitalisierung. Es werden dabei verschiedene digitalpolitische Themen nach ihrer Relevanz bewertet und Ablehnung und Zustimmung zu verschiedenen digitalpolitischen Themen abgefragt. Im zweiten Teil der Umfrage folgen Fragen zu digitalem bürgerschaftlichem Engagement. Das Kompetenzzentrum Öffentliche Informationstechnologie (ÖFIT) versteht sich als Ansprechpartner und Denkfabrik für Fragen der öffentlichen IT und untersucht staatliche Gestaltungs- und Regulierungsanforderungen zur Digitalisierung im öffentlichen Raum. Es handelt sich bei dieser Veröffentlichung um Daten einer Bevölkerungsumfrage zu Digitalpolitik und digitalem Engagement, die von der GMS Dr. Jung GmbH Gesellschaft für Markt- und Sozialforschung im Auftrag des Kompetenzzentrums Öffentliche IT (ÖFIT) von November bis Dezember 2017 durchgeführt wurden. Mit der Veröffentlichung der Umfragedaten wollen wir diese der Forschungsgemeinschaft zur Nachnutzung für weitere Forschungszwecke bereitstellen. @de
alternative: ÖFIT Bevölkerungsumfrage 2017
available: 2020-08-13T07:39:08Z
created: 2017-12
has part: Archiv.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
issued: 2020-07
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/44
uri: https://fordatis.fraunhofer.de/handle/fordatis/130
sparql endpoint: sparql

Interprofessionelle Evaluation des Trainings von Auszubildenden im Beruf Notfallsanitäter:in und Teilnehmenden der Fachweiterbildung Notfallpflege in Extended Reality
has bitstream: results-survey429537.csv
has bitstream: results-survey675373.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: true
projectacronym: ViTAWiN
projectid: 01PV18006
projectname: Virtuell-augmentiertes Training für die Aus- und Weiterbildung in der interprofessionellen Notfallversorgung
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Luiz, Thomas
contributor: Elsenbast, Christian
creator: Elsenbast, Christian
date: 2022-03-10T16:21:51Z
language: de
abstract: The research data refer to a formative project evaluation in the BMBF-funded project ViTAWiN. In addition to socio-demographic data, presence (Igroup Presence Questionnaire, Schubert et al.), simulator sickness (Sim. Sickn. Quest. Kennedy), task and cognitive load (NASA TLX, Hart & Staveland), situational motivation (Situational Motivation Scale), Training Evaluation (Training Evaluation Inventory, Ritzmann et al.) and usability (System Usability Scale according to Brooke) are recorded.
available: 2022-03-10T16:21:51Z
has part: results-survey429537.csv
has part: results-survey675373.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2021
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Interprofessional evaluation of the training of paramedic trainees and participants of the advanced training in emergency care in extended reality
doi: doi:10.24406/fordatis/179
uri: https://fordatis.fraunhofer.de/handle/fordatis/251
sparql endpoint: sparql

Improved FRQI on superconducting processors and its restrictions in the NISQ era
has bitstream: requirements.txt
has bitstream: environment.yml
has bitstream: FRQI 3qubits 2x2 image [10,85,170,255] mcry mary.ipynb
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
doi: Anwendungsorientiertes Quantencomputing
institute: ITWM Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
rawdata: false
projectacronym: AnQuC-2
contributor: Fraunhofer-Gesellschaft FhG
contributor: Geng, Alexander
creator: Geng, Alexander
date: 2023-12-07T10:16:27Z
language: en
abstract: This source code is meant to support the understanding of our paper Improved FRQI on superconducting processors and its restrictions in the NISQ era. In image processing, the amount of data to be processed grows rapidly, in particular when dealing with images of more than two dimensions or time series of images. Thus, efficient processing is a challenge, as data sizes may push even supercomputers to their limits. Quantum image processing promises to encode images with logarithmically less qubits than classical pixels in the image. In theory, this is a huge progress, but so far not many experiments have been conducted in practice, in particular on real backends. Often, the precise conversion of classical data to quantum states, the exact implementation, and the interpretation of the measurements in the classical context are challenging. We investigate these practical questions in this paper. In particular, we study the feasibility of the flexible representation of quantum images (FRQI). Furthermore, we check experimentally the limit in the current noisy intermediate-scale quantum era, i.e., up to which image size an image can be encoded, both on simulators and on real backends. Finally, we propose a method for simplifying the circuits needed for the FRQI. With our alteration, the number of gates can be reduced, especially the one of the error-prone controlled-NOT gates. As a consequence, the size of manageable images increases.
available: 2023-12-07T10:16:27Z
has part: requirements.txt
has part: environment.yml
has part: FRQI 3qubits 2x2 image [10,85,170,255] mcry mary.ipynb
is part of: 10.1007/s11128-023-03838-0
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/50
issued: 2023-02-06
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/315
uri: https://fordatis.fraunhofer.de/handle/fordatis/372
sparql endpoint: sparql

Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters
has bitstream: 20241017-export-potentials-of-green-h2-methodology-techno-economic-assessment.-annex-a.1-parameters.xlsx
has bitstream: 20230225 Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters (002).xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023-02
institute: ISI Fraunhofer-Institut für System- und Innovationsforschung
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
projectacronym: HYPAT
projectname: H2-Potenzialatlas
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Wietschel, Martin
contributor: Voglstätte, Christopher
contributor: Abdel-Khalek, Hazem
contributor: Kleinschmitt, Christoph
contributor: Pieton, Natalia
contributor: Franke, Katja
contributor: Graf, Marieke Emilie Anna
contributor: Sinha, Mohammad
contributor: Drechsler, Björn
contributor: Müller, Viktor Paul
contributor: Lenivova, Veronika
contributor: Fragoso García, Joshua
contributor: Nolden, Christoph
contributor: Bergup, Emily Felicitas
contributor: Ranzmeyer, Ombeni
contributor: Jalbout, Eddy
contributor: Mendler, Friedrich
creator: Wietschel, Martin
creator: Voglstätte, Christopher
creator: Abdel-Khalek, Hazem
creator: Kleinschmitt, Christoph
creator: Pieton, Natalia
creator: Franke, Katja
creator: Graf, Marieke Emilie Anna
creator: Sinha, Mohammad
creator: Drechsler, Björn
creator: Müller, Viktor Paul
creator: Lenivova, Veronika
creator: Fragoso García, Joshua
creator: Nolden, Christoph
creator: Bergup, Emily Felicitas
creator: Ranzmeyer, Ombeni
creator: Jalbout, Eddy
creator: Mendler, Friedrich
date: 2024-10-22T09:19:47Z
language: en
abstract: This working paper describes the quantitative and model-based methodology used in HYPAT to assess hydrogen and Power-to-X (PtX) export potentials in the countries Morocco, Ukraine, Namibia, Turkey, United Arab Emirates, Kenya, Chile, Canada, Brazil, and New Zealand. The results of the techno-economic assessment are further used as a basis for a global hydrogen and PtX atlas, and as an indication of the price development of hydrogen and PtX.
alternative: Version 2 (30.07.2024)
available: 2023-06-19T12:33:50Z
available: 2024-10-22T09:19:47Z
has part: 20241017-export-potentials-of-green-h2-methodology-techno-economic-assessment.-annex-a.1-parameters.xlsx
has part: 20230225 Export Potentials of Green Hydrogen - Methodology for a Techno-Economic Assessment. Annex A.1 - Modeling parameters (002).xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/20
issued: 2023
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/261.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/324.2
sparql endpoint: sparql

Synthetic ambient seismic noise dataset for testing ambient-noise methods
has bitstream: vel1 arbzseis nreceivers441 308000samples
has bitstream: vel2 arbxseis nreceivers441 308000samples
has bitstream: vel2 receiver locations.txt
has bitstream: vel2 arbyseis nreceivers441 308000samples
has bitstream: vel1 arbyseis nreceivers441 308000samples
has bitstream: vel1 receiver locations.txt
has bitstream: vel1 arbxseis nreceivers441 308000samples
has bitstream: README data description.pdf
has bitstream: vel2 arbzseis nreceivers441 308000samples
has bitstream: vel2 source locations.txt
has bitstream: vel1 source locations.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: true
projectacronym: DEEP-SIGHT
projectid: 03EE4016
projectname: Seismische Überwachung und Charakterisierung von drei geothermischen Fallstudienstandorten
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Saenger, Erik
contributor: Finger, Claudia
creator: Saenger, Erik
creator: Finger, Claudia
date: 2023-11-13T09:52:00Z
language: en
abstract: We present a continuous seismic waveform dataset created with the rotated staggered-grid finite-difference simulator HeidimodX (Saenger et al., 2000). The aim of the dataset is to recreate the random nature of ambient seismic noise using numerous synthetic point sources with arbitrary source parameters and locations. Three-component waveforms are recorded at the free surface of a three-dimensional model with two different velocity structures. This dataset can be used to benchmark and test robustness of different methodologies typically applied to ambient noise data.
available: 2023-11-13T09:52:00Z
has part: vel1 arbzseis nreceivers441 308000samples
has part: vel2 arbxseis nreceivers441 308000samples
has part: vel2 receiver locations.txt
has part: vel2 arbyseis nreceivers441 308000samples
has part: vel1 arbyseis nreceivers441 308000samples
has part: vel1 receiver locations.txt
has part: vel1 arbxseis nreceivers441 308000samples
has part: README data description.pdf
has part: vel2 arbzseis nreceivers441 308000samples
has part: vel2 source locations.txt
has part: vel1 source locations.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/302
uri: https://fordatis.fraunhofer.de/handle/fordatis/360
sparql endpoint: sparql

Spectrogram Data Set for Deep Learning Based RF-Frame Detection
has bitstream: spectrogram training data 20220711.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
institute: IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS
rawdata: false
research framework programm: Penta
projectid: 16ES0974
projectname: SunRISE
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Wicht, Jakob
creator: Wicht, Jakob
date: 2022-10-26T06:51:20Z
language: en
abstract: Automated spectrum analysis serves as a troubleshooting tool that helps to diagnose faults in wireless networks like difficult signal propagation conditions as well as coexisting wireless networks. It provides a higher monitoring coverage while requiring less expertise compared to manual spectrum analysis. In this publication, we introduce a data set that can be used to train and evaluate a deep learning model, capable to detect frames of different wireless standards as well as interference between single frames. Since manually labelling a high variety of frames in different environments is too challenging, an artificial data generation pipeline has been developed. The data set consists of 20000 augmented signal segments, each containing a random number of different Wi-Fi and Bluetooth frames, their spectral image representations and labels that describe the position and type of frame within the spectrogram. The dataset contains results of intermediate processing steps that enables the research or teaching community to create new datasets for specific requirements or to provide new interesting examination examples.
available: 2022-10-26T06:51:20Z
has part: spectrogram training data 20220711.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/100
issued: 2022-10
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/216
uri: https://fordatis.fraunhofer.de/handle/fordatis/287
sparql endpoint: sparql

Novel Test Bench for Inhaler Characterization Including Real-Time Determination of Output, Output Rate, and Liquid Water Content of Delivered Aerosols
has bitstream: Rohdaten Neonate.xlsx
has bitstream: Rohdaten Adult Dry.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
group: Life Sciences
institute: ITEM Fraunhofer-Institut für Toxikologie und Experimentelle Medizin
rawdata: true
research framework programm: Horizon 2020
research framework programm: Neue Elektroniksysteme für intelligente Medizintechnik (Smart Health)
projectacronym: MDOT
projectacronym: Flexmax
projectid: GS2SH016
projectid: 814654
projectname: Flexible aktive Sensormatrix für medizinische Anwendungen
projectname: Medical Device Obligations Taskforce
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: European Commission EC
contributor: Wiegandt, Felix
contributor: Pohlmann, Gerhard
contributor: Doll, Theodor
contributor: Froriep, Ulrich
contributor: Dietzel, Andreas
creator: Wiegandt, Felix
creator: Pohlmann, Gerhard
creator: Doll, Theodor
creator: Froriep, Ulrich
creator: Dietzel, Andreas
date: 2020-08-25T09:16:49Z
language: en
abstract: Mit dem in der Publikation beschriebenen Messsystemen generierte Rohdaten @de
available: 2020-08-25T09:16:49Z
has part: Rohdaten Neonate.xlsx
has part: Rohdaten Adult Dry.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/32
issued: 2020-07-22
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/102
uri: https://fordatis.fraunhofer.de/handle/fordatis/178
sparql endpoint: sparql

Archive of Primary Data for Doctoral Dissertation "Scenario-based Derivation of Digital Ecosystem Requirements"
has bitstream: Primary Data Archive.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
contributor: Koch, Matthias
creator: Koch, Matthias
date: 2022-12-07T08:00:14Z
language: de
language: en
abstract: The archive contains primary data for the doctoral dissertation "Scenario-based Derivation of Digital Ecosystem Requirements" by Matthias Koch. The data consists of study material and raw data of study results. Additionally, the source code for the tooling is included.
available: 2022-12-07T08:00:14Z
has part: Primary Data Archive.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2022-11-25
rights: http://rightsstatements.org/vocab/InC/1.0/
doi: doi:10.24406/fordatis/235
uri: https://fordatis.fraunhofer.de/handle/fordatis/299
sparql endpoint: sparql

InVar-100: Industrial Objects in Varied Contexts Dataset
has bitstream: InVar 100 Class Metadata.csv
has bitstream: InVar-100 image data.zip
has bitstream: InVar-100 Datasheet V2.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
contributor: Briese, Clemens
contributor: Schlüter, Marian
contributor: Lehr, Jan
contributor: Chavan, Vivek
contributor: Koch, Paul
contributor: Krueger, Joerg
creator: Briese, Clemens
creator: Schlüter, Marian
creator: Lehr, Jan
creator: Chavan, Vivek
creator: Koch, Paul
date: 2024-09-23T11:24:38Z
language: en
abstract: The Industrial Objects in Varied Contexts (InVar) dataset was internally produced by our team and contains 100 objects in 20800 total images (208 images per class). The objects consist of common automotive, machine and robotics lab parts. Each class contains 4 sub-categories (52 images each) with different attributes and visual complexities. White background (Dwh): The object is against a clean white background and the object is clear, centred and in focus. Stationary Setup (Dst): These images are also taken against a clean background using a stationary camera setup, with uncentered objects at a constant distance. The images have lower DPI resolution with occasional cropping. Handheld (Dha): These images are taken with the user holding the objects, with occasional occluding. Cluttered background (Dcl): These images are taken with the object placed along with other objects from the lab in the background and with no occlusion. The dataset was produced to simulate the miscellaneous issues in industrial setups as discussed. The dataset was produced by our staff at different workstations and labs in Berlin. More details regarding the objects used for digitisation are available in the metadata file.
available: 2023-06-19T11:59:32Z
available: 2023-08-21T09:58:07Z
available: 2024-09-23T11:24:38Z
has part: InVar 100 Class Metadata.csv
has part: InVar-100 image data.zip
has part: InVar-100 Datasheet V2.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/266.3
uri: https://fordatis.fraunhofer.de/handle/fordatis/329.3
sparql endpoint: sparql

Coefficient of thermal expansion (CTE) of C12A7:e- ceramic
has bitstream: Coeff Thermal Expansion C12A7.dat
has bitstream: Coeff Thermal Expansion C12A7.txt
has bitstream: Coeff Thermal Expansion C12A7.xls
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/42
group: Innovationsforschung
institute: IKTS Fraunhofer-Institut für Keramische Technologien und Systeme
rawdata: false
funding programme: FET-Open
research framework programm: Horizon 2020
projectacronym: E. T. Pack
projectid: 828902
contributor: European Commission EC
contributor: Wätzig, Katja
contributor: Schilm, Jochen
creator: Wätzig, Katja
creator: Schilm, Jochen
date: 2022-07-21T12:52:57Z
language: en
abstract: The compound [Ca24Al28O64]4+(4e-) named as C12A7:e- has outstanding properties because of a low work function (2.4-2.6 eV) and high electron conductivity due to a cage-like crystal structure. For the application of the material as hollow cathodes in small satellite propulsion systems, its preparation as sinterable glass-ceramics via the powder route is purposeful. The coefficient of thermal expansion CTE is between 4.2 and 6.0 × 10−6 K−1 (RT-1000°C).
available: 2022-07-21T12:52:57Z
has part: Coeff Thermal Expansion C12A7.dat
has part: Coeff Thermal Expansion C12A7.txt
has part: Coeff Thermal Expansion C12A7.xls
is part of: 10.1002/ces2.10098
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/42
issued: 2021
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/204
uri: https://fordatis.fraunhofer.de/handle/fordatis/275
sparql endpoint: sparql

Comparison of inline crack detection systems for multicrystalline silicon solar cells
has bitstream: F ISRA MicroDice.zip
has bitstream: E ISRA LinePL.zip
has bitstream: D ISE PL Si.zip
has bitstream: A ISE EL.zip
has bitstream: B halm EL Si.zip
has bitstream: IV-data Fh-ISE.xlsx
has bitstream: C halm EL InGaAs.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
doi: http://dx.doi.org/10.1109/JPHOTOV.2020.2996750
issued: 2020
journaltitle: IEEE Journal of Photovoltaics
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: false
funding programme: 6. Energieforschungsprogramm der Bundesregierung "Forschung für eine umweltschonende, zuverlässige und bezahlbare Energieversorgung"
projectacronym: iMage
projectid: 0324045A
projectid: 0324045C
projectid: 0324045D
projectname: Inline imaging methods for next generation solar cells
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Ramspeck, Klaus
contributor: Kunze, Philipp
contributor: Dost, Georg
contributor: Greulich, Johannes
contributor: Demant, Matthias
contributor: Vetter, Andreas
contributor: Probst, Christian
creator: Ramspeck, Klaus
creator: Kunze, Philipp
creator: Dost, Georg
creator: Greulich, Johannes
creator: Demant, Matthias
creator: Vetter, Andreas
creator: Probst, Christian
date: 2020-06-18T09:28:05Z
language: en
abstract: The data contains the electro- and photoluminescence, and transflection images of 120 multicrystalline silicon passivated emitter and rear solar cells (mc-Si PERC cells) and their current-voltage parameters. The images are neither scaled, nor aligned, rotated, or cropped. The data belongs to a scientific publication on crack detection, further information can be found in the publication by Greulich et al., IEEE Journal of Photovoltaics (2020) (to be published).
alternative: Images and current-voltage data
available: 2020-04-14T10:37:37Z
available: 2020-06-18T09:28:05Z
created: 2018
has part: F ISRA MicroDice.zip
has part: E ISRA LinePL.zip
has part: D ISE PL Si.zip
has part: A ISE EL.zip
has part: B halm EL Si.zip
has part: IV-data Fh-ISE.xlsx
has part: C halm EL InGaAs.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-04
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/42.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/125.2
sparql endpoint: sparql

Templates zum Leitfaden zur Durchführung von KI-Projekten
has bitstream: Finale Templates.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
group: Innovationsforschung
institute: IAO Fraunhofer-Institut für Arbeitswirtschaft und Organisation
rawdata: false
projectacronym: KI-ULTRA
projectname: Unternehmenslabore für Transformation und Change im Zusammenhang mit Künstlicher Intelligenz in der Arbeitswelt
contributor: Leuteritz, Jan-Paul
contributor: Dukino, Claudia
contributor: Kutzias, Damian
contributor: Bundesministerium für Arbeit und Soziales BMAS (Deutschland)
creator: Leuteritz, Jan-Paul
creator: Dukino, Claudia
creator: Kutzias, Damian
date: 2024-05-23T10:21:53Z
language: de
abstract: Die vorliegenden Templates sind leichtgewichtige, praxisorientierte Werkzeuge für das Projektmanagement in datenbasierten Projekten. Sie ergänzen insbesondere den "Leitfaden zur Durchführung von KI-Projekten". @de
available: 2024-05-23T10:21:53Z
has part: Finale Templates.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/28
issued: 2023-11-20
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/348
uri: https://fordatis.fraunhofer.de/handle/fordatis/401
sparql endpoint: sparql

Time Series of wear test for roller-type pitch bearings of wind turbines
has bitstream: standstill TR.mat
has bitstream: cycle TR.mat
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
group: Energietechnologien und Klimaschutz
institute: IWES Fraunhofer-Institut für Windenergiesysteme
rawdata: false
funding programme: 7. Energieforschungsprogramm
projectacronym: HAPT2
projectid: 03EE2033A
projectname: Highly Accelerated Pitch Bearing Tests 2
contributor: Stammler, Matthias
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
creator: Stammler, Matthias
date: 2023-08-09T10:27:54Z
language: en
abstract: This data set contains time series and additional information for a test program for pitch bearings of wind turbines. The program covers two distinct operational scenarios: the standstill of the bearing under rated speed and the active pitch cycles caused by the IPC. It is designed for rollerr-type pitch bearings, but can be applied to toher pitch bearings as well. It bases upon the aero-elastic simulation time series (see links).
available: 2023-08-09T10:27:54Z
has part: standstill TR.mat
has part: cycle TR.mat
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/61
issued: 2023
references: 10.24406/fordatis/113
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/253
uri: https://fordatis.fraunhofer.de/handle/fordatis/317
sparql endpoint: sparql

Dataset for AI-assisted classification of damaged saw blades on a miter saw using microphone, accelerometer and ultrasonic data
has bitstream: 20241114-JON-WAVE miter saw data.pdf
has bitstream: wave miter saw data.hd5
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
group: Mikroelektronik
institute: IPMS Fraunhofer-Institut für Photonische Mikrosysteme
rawdata: false
projectacronym: WA.VE
projectid: 02P21K032
projectname: Wide Application Vibration Element
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Jongmanns, Marcel
creator: Jongmanns, Marcel
date: 2024-11-19T15:20:41Z
language: en
abstract: A miter saw was equipped with a sensor node consisting of a wideband MEMS microphone, an accelerometer and an ultrasound transducer. Data has been collected for 4 different saw blades: two different sharp blades, one blunt and one demolished. There is reference data measured when the saw it off and when the saw is actively rotating, but not inside wood. The sawing data consists of dataset with narrow and wide wooden laths.
abstract: Eine Kappsäge wurde mit einem Sensorknoten aus Mikrofon, Accelerometer und Ultraschallsender ausgestattet. Es wurde Daten für 4 unterschiedliche Sägeblätter gesammelt: 2 neue, scharfe Blätter, 1 stumpfes und 1 durch einen Hammer demoliertes. Es wurden Referenzdaten für den Fall, dass die Säge aus ist und für den Fall, dass sich die Säge in der Luft dreht. Weiter wurden Schnitte an dünnen und breiten Holzlatten durchgeführt. @de
available: 2024-11-19T15:20:41Z
has part: 20241114-JON-WAVE miter saw data.pdf
has part: wave miter saw data.hd5
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/35
issued: 2024-11
rights: https://creativecommons.org/licenses/by/4.0/
title: Datensatz zur KI-gestützten Klassifizierung von defekten Sägeblättern an einer Kappsäge mit Mikrofon-, Accelerometer- und Ultraschalldaten
doi: doi:10.24406/fordatis/377
uri: https://fordatis.fraunhofer.de/handle/fordatis/426
sparql endpoint: sparql

VIADUCT: Multisector data set for Visual Industrial Anomaly Detection
has bitstream: 46 damper small.zip
has bitstream: 16 vibration sensor.zip
has bitstream: 06 coaxial t-adapter.zip
has bitstream: 48 saw blade.zip
has bitstream: 26 hose screw fitting.zip
has bitstream: 09 joystick.zip
has bitstream: 36 redon needle.zip
has bitstream: 39 self-tapping bolt.zip
has bitstream: 12 rotary encoder.zip
has bitstream: 41 white tablet.zip
has bitstream: 13 socket housing.zip
has bitstream: 45 damper large.zip
has bitstream: 03 3-pole socket housing.zip
has bitstream: 18 raspberry.zip
has bitstream: 24 pan screw.zip
has bitstream: 31 valve handle red.zip
has bitstream: 19 strawberry.zip
has bitstream: 37 retractor.zip
has bitstream: 35 pink tablet.zip
has bitstream: 33 drill.zip
has bitstream: 23 pipe clamp.zip
has bitstream: 07 d-sub connector.zip
has bitstream: 32 bone pliers.zip
has bitstream: 43 paperclip.zip
has bitstream: 47 mains tester.zip
has bitstream: Datasheet VIADUCT.pdf
has bitstream: 05 cable end sleeve.zip
has bitstream: 40 surgical mask.zip
has bitstream: 11 ring cable lug.zip
has bitstream: 02 shredded corn fine.zip
has bitstream: 30 valve handle blue.zip
has bitstream: 42 aluminium plate.zip
has bitstream: 17 cherry.zip
has bitstream: 25 reinforcing sleeve.zip
has bitstream: 04 battery tray.zip
has bitstream: 27 L-fitting.zip
has bitstream: 20 tea bag.zip
has bitstream: 15 terminal block B.zip
has bitstream: 14 terminal block A.zip
has bitstream: 22 device box.zip
has bitstream: 00 shredded corn rough.zip
has bitstream: 44 tack.zip
has bitstream: 21 cylinder screw.zip
has bitstream: 28 key.zip
has bitstream: 10 PCB.zip
has bitstream: 29 threaded fitting.zip
has bitstream: 38 round pill.zip
has bitstream: 34 oblong pill.zip
has bitstream: 01 shredded corn medium.zip
has bitstream: 08 ethernet connector.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
projectacronym: VIADUCT
projectid: 01DK20098
projectname: Verbundprojekt: VIADUCT - Aufwandsverkleinerung von KI Anwendungen in der Industrie durch Reduzierung von Trainingsdaten
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Lehr, Jan
contributor: Philipps, Jan
contributor: Botschen, Maximilian
contributor: Sargsyan, Alik
contributor: Gevorgyan, Shoghik
contributor: Pape, Martin
contributor: Nguyen Hoang, Viet
contributor: Paust, Anna-Maria
creator: Lehr, Jan
creator: Philipps, Jan
creator: Botschen, Maximilian
creator: Sargsyan, Alik
creator: Gevorgyan, Shoghik
creator: Pape, Martin
creator: Nguyen Hoang, Viet
creator: Paust, Anna-Maria
date: 2024-12-17T08:24:25Z
language: en
abstract: VIADUCT data set provides 49 categories of industrial objects with corresponding 135 defect categories.
available: 2024-07-09T10:06:29Z
available: 2024-12-17T08:24:25Z
has part: 46 damper small.zip

InVar-100: Industrial Objects in Varied Contexts Dataset
has bitstream: image data.zip
has bitstream: InVar-100 Datasheet.pdf
has bitstream: InVar 100 Class Metadata.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
contributor: Briese, Clemens
contributor: Schlüter, Marian
contributor: Lehr, Jan
contributor: Chavan, Vivek
contributor: Koch, Paul
creator: Briese, Clemens
creator: Schlüter, Marian
creator: Lehr, Jan
creator: Chavan, Vivek
creator: Koch, Paul
date: 2023-06-19T11:59:32Z
language: en
abstract: The Industrial Objects in Varied Contexts (InVar) dataset was internally produced by our team and contains 100 objects in 20800 total images (208 images per class). The objects consist of common automotive, machine and robotics lab parts. Each class contains 4 sub-categories (52 images each) with different attributes and visual complexities. White background (Dwh): The object is against a clean white background and the object is clear, centred and in focus. Stationary Setup (Dst): These images are also taken against a clean background using a stationary camera setup, with uncentered objects at a constant distance. The images have lower DPI resolution with occasional cropping. Handheld (Dha): These images are taken with the user holding the objects, with occasional occluding. Cluttered background (Dcl): These images are taken with the object placed along with other objects from the lab in the background and with no occlusion. The dataset was produced to simulate the miscellaneous issues in industrial setups as discussed. The dataset was produced by our staff at different workstations and labs in Berlin. More details regarding the objects used for digitisation are available in the metadata file.
available: 2023-06-19T11:59:32Z
has part: image data.zip
has part: InVar-100 Datasheet.pdf
has part: InVar 100 Class Metadata.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2023
rights: mit
doi: doi:10.24406/fordatis/266
uri: https://fordatis.fraunhofer.de/handle/fordatis/329
sparql endpoint: sparql

Attitude of Emergency Dispatchers Towards Artificial Intelligence – A Black Box of Expectations
has bitstream: Quality Check Final.docx
has bitstream: Aggregated interview data.docx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
editor: Elsenbast, Christian
group: IUK-Technologie
institute: IESE Fraunhofer-Institut für Experimentelles Software Engineering
rawdata: false
projectacronym: SPELL
projectid: 01MK21005B
projectname: Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung
contributor: Elsenbast, Christian
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
creator: Elsenbast, Christian
date: 2024-09-02T14:27:23Z
language: en
abstract: Introduction: AI is transforming various industries, especially healthcare and emergency services. For example, AI helps with clinical decision support, detects cardiac arrest and stroke during calls, and manages text-to-speech translation. On the human-centered side, the societal and personal impacts of AI and other technologies are significant but under-researched. Therefore, this study examines the belief systems of emergency dispatchers regarding AI applications. Methods: From September 2021 to September 2023, eight extensive interviews were conducted with a total of 31 individuals, lasting over 619 minutes. Following grounded theory, the interview guide was iteratively adapted to support theory development. Results: The interviews revealed a high level of commitment to their profession and a strong appreciation and interest in research. While many issues within public safety and answering points (PSAPs) and the healthcare system were identified, few concrete ideas for AI-based solutions were mentioned. In addition to the common assumption of high mental workload in emergency call centers and the need for AI systems to be understandable, there are notable differences in the belief systems of dispatchers and other experts. These differences often lead to a more negative attitude towards AI, which is influenced by job status, AI knowledge and qualifications. However, the ability to reflect can mitigate these limitations. AI can support dispatchers who have to handle complex tasks under time pressure, information deficits and uncertainty. Conclusion: In addition to the assumption of high mental workload and the need for understandable AI systems, dispatchers and other experts have different belief systems. These can lead to a negative attitude towards AI, which is influenced by job status, AI knowledge and qualifications, although reflection can help to mitigate this. AI can support dispatchers to handle complex tasks under pressure, information deficits and uncert…
available: 2024-09-02T14:27:23Z
has part: Quality Check Final.docx
has part: Aggregated interview data.docx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/38
issued: 2024-08-23
rights: https://creativecommons.org/licenses/by-sa/4.0/
doi: doi:10.24406/fordatis/363
uri: https://fordatis.fraunhofer.de/handle/fordatis/414
sparql endpoint: sparql

Analysis of the decomposition of an anhydride-cured epoxy resin by subcritical hydrolysis
has bitstream: 01 DOE.vxg
has bitstream: 01 Influence and effects.xlsx
has bitstream: 03 Glass transition temperatures.xlsx
has bitstream: 05 GC-MS.xlsx
has bitstream: 04 Decomposition kinetics.xlsx
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/49
institute: IKTS Fraunhofer-Institut für Keramische Technologien und Systeme
institute: IGP Fraunhofer-Einrichtung für Großstrukturen in der Produktionstechnik
rawdata: false
contributor: Rüger, Christopher
contributor: Backens, Simon
contributor: Schmidt, Stefan
contributor: Friederici, Lukas
contributor: Wieland, Arthur Konrad
contributor: Flügge, Wilko
creator: Rüger, Christopher
creator: Backens, Simon
creator: Schmidt, Stefan
creator: Friederici, Lukas
creator: Wieland, Arthur Konrad
creator: Flügge, Wilko
date: 2025-04-14T13:09:50Z
language: en
abstract: The decomposition of an anhydride-cured epoxy resin by subcritical hydrolysis was studied under variation of reaction temperature, decomposition duration and water volume.
available: 2025-04-14T13:09:50Z
has part: 01 DOE.vxg
has part: 01 Influence and effects.xlsx
has part: 03 Glass transition temperatures.xlsx
has part: 05 GC-MS.xlsx
has part: 04 Decomposition kinetics.xlsx
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/49
issued: 2025-04
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/393
uri: https://fordatis.fraunhofer.de/handle/fordatis/438
sparql endpoint: sparql

BioMates - Coding of identifiers for WP1-samples and -blends
has bitstream: BioMates DMP 2 FhG Coding V02.pdf
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
group: Ressourcentechnologien und Bioökonomie
institute: UMSICHT Fraunhofer-Institut für Umwelt-, Sicherheits- und Energietechnik
rawdata: false
funding programme: LCE-08-2016-2017 "Development of next generation biofuel technologies"
research framework programm: Horizon 2020
projectacronym: BioMates
projectid: 727463
projectname: Reliable Bio-based Refinery Intermediates
contributor: European Commission EC
contributor: Heil, Volker
creator: Heil, Volker
date: 2022-02-17T13:48:01Z
language: en
abstract: Ablative Fast Pyrolysis (AFP) is the first step in the BioMates-concept to convert herbaceous biomass into co-feed with reliable properties for conventional refineries (www.biomates.eu). The document provides the coding behind the identifiers used for samples and sample blends produced by Fraunhofer UMSICHT via AFP within the H2020-project BioMates.
alternative: Data Management Plan – Level 2
available: 2022-02-17T13:48:01Z
has part: BioMates DMP 2 FhG Coding V02.pdf
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/51
issued: 2021-12-15
rights: https://creativecommons.org/licenses/by-nc-sa/4.0/
doi: doi:10.24406/fordatis/167
uri: https://fordatis.fraunhofer.de/handle/fordatis/240
sparql endpoint: sparql

InVar-100: Industrial Objects in Varied Contexts Dataset
has bitstream: InVar-100 Datasheet V2.pdf
has bitstream: InVar 100 Class Metadata.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
group: Produktion
institute: IPK Institut für Produktionsanlagen und Konstruktionstechnik
rawdata: false
contributor: Briese, Clemens
contributor: Schlüter, Marian
contributor: Lehr, Jan
contributor: Chavan, Vivek
contributor: Koch, Paul
contributor: Krueger, Joerg
creator: Briese, Clemens
creator: Schlüter, Marian
creator: Lehr, Jan
creator: Chavan, Vivek
creator: Koch, Paul
date: 2023-08-21T09:58:07Z
language: en
abstract: The Industrial Objects in Varied Contexts (InVar) dataset was internally produced by our team and contains 100 objects in 20800 total images (208 images per class). The objects consist of common automotive, machine and robotics lab parts. Each class contains 4 sub-categories (52 images each) with different attributes and visual complexities. White background (Dwh): The object is against a clean white background and the object is clear, centred and in focus. Stationary Setup (Dst): These images are also taken against a clean background using a stationary camera setup, with uncentered objects at a constant distance. The images have lower DPI resolution with occasional cropping. Handheld (Dha): These images are taken with the user holding the objects, with occasional occluding. Cluttered background (Dcl): These images are taken with the object placed along with other objects from the lab in the background and with no occlusion. The dataset was produced to simulate the miscellaneous issues in industrial setups as discussed. The dataset was produced by our staff at different workstations and labs in Berlin. More details regarding the objects used for digitisation are available in the metadata file.
available: 2023-06-19T11:59:32Z
available: 2023-08-21T09:58:07Z
has part: InVar-100 Datasheet V2.pdf
has part: InVar 100 Class Metadata.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/15
issued: 2023
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/266.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/329.2
sparql endpoint: sparql

Dataset for 'Reducing Sensor Configuration for Data-Driven Shoulder Load Estimation for Exoskeleton Control'
has bitstream: data.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
group: Gesundheit
institute: IPA Fraunhofer-Institut für Produktionstechnik und Automatisierung
rawdata: false
funding programme: Invest BW
projectid: BW1_0061/03
projectname: HEXOBAU
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Maufroy, Christophe
contributor: Lubitz, Sonja
contributor: Schneider, Urs
contributor: Dobosz, Thomas
contributor: Gizzi, Leonardo
contributor: Ziegenspeck, Nils
contributor: Bauernhansl, Thomas
creator: Lubitz, Sonja
creator: Dobosz, Thomas
date: 2025-12-18T10:31:58Z
language: en
abstract: This paper investigates the role of various sensors in estimating shoulder loads during manual manipulation tasks in the context of exoskeleton control. The sensors examined include textile-integrated electromyography (EMG) sensors forthe trapezius, deltoids, biceps, and forearm muscles; inertial measurement units (IMUs) on key body segments such as the pelvis, shoulder, upper arm, and forearm; and pressure-sensing insoles. The objective is to reduce the sensor configuration for predicting the internal torque exerted on the shoulder in the sagittal plane. To achieve this, a study involving nine subjects manipulating dumbbells in the sagittal plane was conducted. The protocol encompasses four static positions as well as isolated elbow and shoulder flexions. Further, four distinct machine learning model architectures were trained, systematically omitting one sensor at a time. The significance of each sensor was evaluated by assessing the impact of its omission on the predictive correlation using cross-validated R2 scores. Consequently, a top-five sensor configuration was identified and compared against configurations based solely on domain knowledge and the full sensor array. The configuration proposed in this study achieved a correlation of R2 = 0.83 in predicting shoulder loads, slightly surpassing the performance of the full sensor setup (R2 = 0.82) and outperforming the domain knowledge-based (DKB) setup (R2 = 0.63). All metrics are determined in a leave-one-subject-out cross-validation (loso-cv) training strategy.
available: 2025-12-18T10:31:58Z
has part: data.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/12
issued: 2026
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/427
uri: https://fordatis.fraunhofer.de/handle/fordatis/470
sparql endpoint: sparql

Befragung zum individuellen Flugverhalten innerhalb Deutschlands und Europas
has bitstream: Data set Air travel Fraunhofer ISE.sav
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
group: Werkstoffe, Bauteile - MATERIALS
institute: ISE Fraunhofer-Institut für Solare Energiesysteme
rawdata: true
funding programme: Energiesystemanalyse
research framework programm: 6. Energieforschungsprogramm
projectacronym: Sozio-E2S
projectid: 03ET4041A
projectname: Verbundvorhaben: Open source Energiesystemmodellierung – Einfluss von soziokulturellen Faktoren auf Transformationspfade des deutschen Energiesystems (Sozio-E2S)
contributor: Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
contributor: Berneiser, Jessica
contributor: Senkpiel, Charlotte
contributor: Gölz, Sebastian
creator: Berneiser, Jessica
creator: Senkpiel, Charlotte
date: 2020-09-24T14:21:07Z
language: de
abstract: The data set includes results of a survey on flight behaviour on domestic German and European distances. 2530 persons participated in the study, which is representative for Germany with regard to the following parameters: gender, age, educational background, size of town and federal state. The data set includes questions on mobility behaviour, attractiveness of air travel, personal attitudes towards travel, environmental aspects, intergenerational justice and national and global identity. In addition, an experimental, single factor study design (4 levels) was chosen to investigate the impact of various information (vs. no information) regarding the environmental impact of air travel, global equity and subsidies on the support of political measures and personal flight intentions.
abstract: Der Datensatz umfasst Ergebnisse einer Befragung zum Flugverhalten auf innerdeutschen und innereuropäischen Distanzen. 2530 Personen haben an der Studie teilgenommen, die repräsentativ für Deutschland bzgl. folgender Kennwerte ist: Geschlecht, Alter, Schulabschluss, Ortsgröße sowie Bundesland. Der Datensatz umfasst Fragen zu Mobilitätsverhalten, Attraktivität des Flugverkehrs, persönlichen Einstellungen bzgl. Reisens, Umweltaspekte, intergenerationaler Gerechtigkeit sowie nationaler und globaler Identität. Außerdem wurde ein experimentelles, einfaktorielles Untersuchungsdesign (4-stufig) gewählt, um die Auswirkungen verschiedener Informationen (vs. keine information) zur Umweltwirkung des Flugverkehrs, globaler Gerechtigkeit sowie von Subventionen auf die Unterstützung politischer Maßnahmen und persönliche Flugabsichten zu untersuchen. @de
alternative: Survey on individual flight behaviour within Germany and Europe
available: 2020-09-24T14:21:07Z
created: 2019-10
has part: Data set Air travel Fraunhofer ISE.sav
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/27
issued: 2020-04-15
rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
doi: doi:10.24406/fordatis/69
uri: https://fordatis.fraunhofer.de/handle/fordatis/155
sparql endpoint: sparql

Modelled three-dimensional in situ stress state and fault reactivation risk in the Ruhr region
has bitstream: Stress tensor Ruhr.pdf
has bitstream: Fault stability Ruhr.pdf
has bitstream: Fault stability Ruhr.txt
has bitstream: Stress tensor Ruhr.txt
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
group: Energietechnologien und Klimaschutz
institute: IEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie
rawdata: false
research framework programm: FHprofUnt2016
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Kruszewski, Michal
contributor: Saenger, Erik H.
creator: Kruszewski, Michal
date: 2022-07-21T13:53:25Z
language: en
abstract: This dataset presents the results of a 3D geomechanical-numerical model of the in situ stress state of the Ruhr region. The modelled three-dimensional in situ stress state is provided for each of the six components of the full stress tensor as well as for the three components of the principal stress tensor. Presented in situ stress magnitudes represent total stresses i.e., a sum of effective in situ stresses and pore pressure field accounting for the Biot’s coefficient of the rock mass. In addition to the full and principal stress tensor, scalar properties of the major fault zones located within the model volume such as shear stress, normal effective stress, Coulomb Failure Function, slip tendency, and dilation tendency are presented.
available: 2022-07-21T13:53:25Z
has part: Stress tensor Ruhr.pdf
has part: Fault stability Ruhr.pdf
has part: Fault stability Ruhr.txt
has part: Stress tensor Ruhr.txt
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/221
issued: 2022-07-06
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/205
uri: https://fordatis.fraunhofer.de/handle/fordatis/276
sparql endpoint: sparql

MaterioMiner - An ontology-based text mining dataset for extraction of process-structure-property entities
has bitstream: materio-miner-1.0.0.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
research framework programm: MaterialDigital
projectacronym: iBain
projectid: 13XP5118B
projectname: Intelligent data-guided process design for fatigue-resistant steel components using the example of bainitic microstructure
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Durmaz, Ali Riza
contributor: Thomas, Akhil
contributor: Mishra, Lokesh
contributor: Niranjan Murthy, Rachana
contributor: Straub, Thomas
creator: Durmaz, Ali Riza
creator: Thomas, Akhil
creator: Mishra, Lokesh
creator: Niranjan Murthy, Rachana
creator: Straub, Thomas
date: 2024-03-18T11:19:29Z
language: en
abstract: This repository contains named-entity recognition (NER) datasets for four materials science and engineering (MSE) publications and utility functions to handle the data. The scope of the scholarly articles used as a basis is crystallographic defects, microstructure, mechanical properties in particular fatigue. Each annotation corresponds to a class in a materials science domain ontology called materials mechanics ontology. This should prospectively enable linking materials knowledge and data to facilitate training neurosymbolic machine learning models. Two dataset variants are published: coarse-granular named-entity recognition (CG-NER) where the annotated concepts are high-level ontological classes fine-granular named-entity recognition (FG-NER) where the annotated concepts are low-level ontological classes Aside from the link to the ontology a characteristic of the dataset is its high degree of of annotation. Namely, 179 distinct ontological classes and 27% of all tokens are annotated in the fine-granular dataset.
available: 2024-03-18T11:19:29Z
has part: materio-miner-1.0.0.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/329
uri: https://fordatis.fraunhofer.de/handle/fordatis/385
sparql endpoint: sparql

Fretting data of different materials and chemical analysis of the tribological layer with XPS and Raman
has bitstream: Raman PEEK.csv
has bitstream: Fretting and WLI evaluation.csv
has bitstream: XPS-VSI.csv
has bitstream: XPS-VSAe.csv
has bitstream: XPS-VII.csv
has bitstream: XPS-VSM.csv
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
projectacronym: LEICHT_DISS
projectid: 03LB2027D
projectname: Gewichtsreduzierung in Leichtbaustukturen dynamisch belasteter Systeme durch neue energirdissipative Elemente
contributor: Daum, Philipp
contributor: Dienwiebel, Martin
contributor: Bundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)
contributor: Hou, Rui Xuan
contributor: Kugler, Marion
creator: Daum, Philipp
creator: Dienwiebel, Martin
creator: Hou, Rui Xuan
creator: Kugler, Marion
date: 2024-09-25T07:41:11Z
language: en
abstract: Der Datensatz enthält die ausgewerteten Ergebnisse von mehreren Frettingexperimenten mit verschieden Materialpaarungen. Außerdem enthalten sind chemische Analysen der gelaufenen Proben. Von jeder Metallpaarung gibt es eine XPS-Analyse der Reibpartner neben und in der Verschleißspur. Von einer Polymerprobe gibt es Daten zu je einer Ramanmessung in und neben der Verschleißspur. @de
abstract: The data set contains the analysed results of several fretting experiments with different material pairings. Chemical analyses of the worn samples are also included. For each metal pairing there is an XPS analysis of the friction partners inside and outside of the wear track. For one polymer sample, there is data of Raman measurements inside and outside of the wear track.
available: 2024-09-25T07:41:11Z
has part: Raman PEEK.csv
has part: Fretting and WLI evaluation.csv
has part: XPS-VSI.csv
has part: XPS-VSAe.csv
has part: XPS-VII.csv
has part: XPS-VSM.csv
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2024-09-10
rights: https://creativecommons.org/licenses/by-sa/4.0/
title: Fretting Daten unterschiedlicher Materialien und chemische Analyse der Triboschicht mittels XPS und Raman
doi: doi:10.24406/fordatis/364
uri: https://fordatis.fraunhofer.de/handle/fordatis/415
sparql endpoint: sparql

An OpenFOAM solver for the extended Navier-Stokes equations (rhoSimpleEnseFoam)
has bitstream: cfd-ense.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
articlenumber: 101378
doi: https://doi.org/10.1016/j.softx.2023.101378
editor: Wallom, David
editor: Sobie, Randall
journaltitle: SoftwareX
originalpublishername: Elsevier B.V.
volume: 22
group: Mikroelektronik
institute: EMFT Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien
rawdata: false
contributor: Richter, Martin
contributor: Schwarz, Johannes
contributor: Adam, Johanna
contributor: Anheuer, Daniel
contributor: Heinrich, Martin
contributor: Schwarze, Rüdiger
contributor: Axelsson, Kristjan
creator: Richter, Martin
creator: Schwarz, Johannes
creator: Adam, Johanna
creator: Anheuer, Daniel
creator: Heinrich, Martin
creator: Schwarze, Rüdiger
creator: Axelsson, Kristjan
date: 2023-05-08T12:40:42Z
language: en
abstract: Pressure-based OpenFOAM solver for the stationary "extended Navier-Stokes equations".
available: 2023-05-08T12:40:42Z
has part: cfd-ense.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/21
is referenced by: 10.24406/publica-1298
is referenced by: 10.1016/j.softx.2023.101378
issued: 2023
rights: gpl-3.0
doi: doi:10.24406/fordatis/254
uri: https://fordatis.fraunhofer.de/handle/fordatis/318
sparql endpoint: sparql

MaterioMiner - An ontology-based text mining dataset for extraction of process-structure-property entities
has bitstream: materio-miner-v1.0.1.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
group: Werkstoffe, Bauteile
institute: IWM Fraunhofer-Institut für Werkstoffmechanik
rawdata: false
research framework programm: MaterialDigital
projectacronym: iBain
projectid: 13XP5118B
projectname: Intelligent data-guided process design for fatigue-resistant steel components using the example of bainitic microstructure
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Durmaz, Ali Riza
contributor: Thomas, Akhil
contributor: Mishra, Lokesh
contributor: Niranjan Murthy, Rachana
contributor: Straub, Thomas
creator: Durmaz, Ali Riza
creator: Thomas, Akhil
creator: Mishra, Lokesh
creator: Niranjan Murthy, Rachana
creator: Straub, Thomas
date: 2024-08-14T10:09:17Z
language: en
abstract: This repository contains named-entity recognition (NER) datasets for four materials science and engineering (MSE) publications and utility functions to handle the data. The scope of the scholarly articles used as a basis is crystallographic defects, microstructure, mechanical properties in particular fatigue. Each annotation corresponds to a class in a materials science domain ontology called materials mechanics ontology. This should prospectively enable linking materials knowledge and data to facilitate training neurosymbolic machine learning models. Two dataset variants are published: coarse-grained named-entity recognition (CG-NER) where the annotated concepts are high-level ontological classes fine-grained named-entity recognition (FG-NER) where the annotated concepts are low-level ontological classes Aside from the link to the ontology a characteristic of the dataset is its high degree of of annotation. Namely, 179 distinct ontological classes and 27% of all tokens are annotated in the fine-granular dataset.
available: 2024-03-18T11:19:29Z
available: 2024-08-14T10:09:17Z
has part: materio-miner-v1.0.1.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/14
issued: 2024-08-13
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/329.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/385.2
sparql endpoint: sparql

LIDAR-Anwendung für datenübergreifende Integration und Diversität
has bitstream: LUCID high-density.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
group: IUK-Technologie
institute: FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
rawdata: false
contributor: Bundesministerium für Bildung und Forschung BMBF (Deutschland)
contributor: Protzmann, Robert
contributor: Radusch, Ilja
contributor: Strunz, Martin
creator: Protzmann, Robert
creator: Strunz, Martin
date: 2025-05-22T08:15:21Z
language: other
abstract: The LUCID Dataset consists of labeled data for 100~scenarios with about 1.1h of drive time, 40.000 frames and 500.000 bounding boxes and will be publicly available from now. We employed the Eclipse MOSAIC simulation framework in conjunction with the SUMO simulator for routes and traffic densities as well as CARLA for simulation of sophisticated LIDAR sensors and environments.
alternative: LIDAR Utilization for Cross-Data Integration and Diversity
available: 2025-05-22T08:15:21Z
has part: LUCID high-density.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/54
is referenced by: 10.1007/978-3-031-87345-4_14
issued: 2024-12-11
references: https://www.dcaiti.tu-berlin.de/research/simulation/lucid/
rights: https://creativecommons.org/licenses/by/4.0/
title: LUCID Dataset
doi: doi:10.24406/fordatis/378
uri: https://fordatis.fraunhofer.de/handle/fordatis/427
sparql endpoint: sparql

Towards a miniaturized photoacoustic sensor for application in transcutaneous CO2 monitoring
has bitstream: Figure10 30-70% Humidity influence.zip
has bitstream: Figure11 0-20% Oxygen influence.zip
has bitstream: Figure12 Skin measurement PA sensor.zip
has bitstream: Figure9 0-30% CO2 measurement.zip
has bitstream: Figure6-8 Laboratory setup measurements.zip
is part of collection: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
group: Light & Surfaces
institute: IPM Fraunhofer-Institut für Physikalische Messtechnik
rawdata: true
contributor: El-Safoury, Mahmoud
contributor: Weber, Christian
contributor: Fraunhofer-Gesellschaft FhG
contributor: Wöllenstein, Jürgen
contributor: Schmitt, Katrin
contributor: Yassine, Hassan
creator: El-Safoury, Mahmoud
creator: Weber, Christian
date: 2024-01-15T08:52:11Z
language: en
abstract: Measured microphone and NDIR detector signals
alternative: Supplementary data
available: 2022-09-29T09:51:45Z
available: 2024-01-15T08:52:11Z
has part: Figure10 30-70% Humidity influence.zip
has part: Figure11 0-20% Oxygen influence.zip
has part: Figure12 Skin measurement PA sensor.zip
has part: Figure9 0-30% CO2 measurement.zip
has part: Figure6-8 Laboratory setup measurements.zip
is part of: https://fordatis.fraunhofer.de/rdf/resource/fordatis/13
issued: 2024
rights: https://creativecommons.org/licenses/by/4.0/
doi: doi:10.24406/fordatis/215.2
uri: https://fordatis.fraunhofer.de/handle/fordatis/286.2
sparql endpoint: sparql