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32 Research products, page 1 of 4

  • Digital Humanities and Cultural Heritage
  • Other research products
  • Other ORP type
  • NEANIAS Space Research Community

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  • Other research product . Other ORP type . 2022
    Open Access
    Authors: 
    Muller, Julien (AHP);
    Publisher: Université de Lorraine

    Ce jeu de données contient des données enrichies sur les membres du Bureau des longitudes, de la création de cette institution scientifique en 1795, jusqu'à 1970 (pour la dernière date d'entrée).

  • Open Access
    Authors: 
    Soulu, Frédéric (AHP);
    Publisher: Université de Lorraine

    L’inventaire des instruments scientifiques ayant fait l'objet de plusieurs mentions dans les procès-verbaux du Bureau des longitudes (jusqu'à l'année 1895).

  • Open Access
    Authors: 
    Soulu, Frédéric (AHP);
    Publisher: Université de Lorraine

    L'ensemble des mentions d' instruments scientifiques relevées dans les procès-verbaux du Bureau des longitudes (jusqu'à l'année 1895)

  • Open Access English
    Authors: 
    Gabel, Jenny (Universität Hamburg); Berns, Christof (Universität Hamburg); Bosch, Sebastian (Universität Hamburg); Eickmeyer, Jost (Universität Hamburg); Harter-Uibopuu, Kaja (Universität Hamburg); Martin, Nathalie (Universität Hamburg); Osthof, Ann Lauren (Universität Hamburg); Steiger, Johann Anselm (Universität Hamburg); Steinicke, Frank (Universität Hamburg);
    Publisher: Universität Hamburg

    Writing is an essential cultural technique, and the resulting artefacts are an important part of cultural heritage. The Cluster of Excellence ‘Understanding Written Artefacts’ is an interdisciplinary and cross-cultural long-term project dedicated to studying so-called ‘written artefacts (WA)’. Our work introduces immersive technologies such as virtual, augmented, and mixed reality to the research cluster for the first time. In this paper, we outline the scope of our research project and present our current implementations of immersive applications based on two scenarios involving inscribed spaces. So far, immersive technologies have not been used in academia to create research focused applications for exploring, analysing, and understanding WA within their inscribed space, including providing access to appropriate spatial and temporal contexts. Thus, we collaborate closely with researchers from the humanities to create interactive and immersive applications for the novel field of WA research. The results of our preliminary user study show high ratings in the sense of presence in the virtual environments and indicate that immersive spatial context could add new perspectives for understanding WA. We hope to provide valuable insights on the design of immersive applications to support future research in novel fields. The research for this paper was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.

  • Other research product . Other ORP type . 2022
    Authors: 
    Muller, Julien (AHP);
    Publisher: Université de Lorraine

    L’ensemble des personnes qui font l’objet d’une citation nominative au moins une fois dans le corpus des procès-verbaux du Bureau des longitudes entre 1795 et 1932, à l’exception des membres du Bureau des longitudes

  • Open Access English
    Authors: 
    Tryfonos, George; Ioannides, Marinos; Anastasi, A. G.; Apostolou, V. A.; Pieri, P. P.; Koundouris, M. A.; Savva, F. G.;
    Country: Cyprus

    The paper presents a novel adaptive parametric documentation, modelling and sharing methodology, which aims to achieve a continuous holistic documentation, data processing and sharing process for cultural heritage community, such as architects, engineers, archaeologists, conservators, programmers, fabricators, contest creators, game developers, scholars and common citizens. Thus, the use of advance parametric and building information modelling software allows the processing and specification of all data by creating the 3D models needed for the multidisciplinary experts. Two Cypriot case studies from the medieval time period have been chosen for the development, and evaluation of our proposed methodology in order to investigate the process of modelling and sharing all the given metadata and 3D data. The first one is the Asinou Church, a UNESCO Heritage stone monument in the Troodos Mountains with a unique interior and the Kolossi Castle, a former Crusader stronghold on the west of the city of Limassol on the island of Cyprus.

  • Open Access English
    Authors: 
    Lamanna, Giovanni; Bird, Ian; Petzold, Andreas; Asmi, Ari; Brus, Magdalena; Blomberg, Niklas; Räß, Michael; Dimper, Rudolf; Gotz, Andrew; Dekker, Ron;
    Publisher: Zenodo
    Project: EC | ESCAPE (824064), EC | SSHOC (823782), EC | EOSC-Life (824087), EC | ENVRI-FAIR (824068), EC | PaNOSC (823852)

    THE SCIENCE CLUSTERS are EU collaborative projects that were launched in 2019 to link ESFRI and other world-class Research Infrastructures (RIs) to the European Open Science Cloud (EOSC). The main impacts of the Science Clusters’ work programme concern: the improved access of researchers to data, tools and resources, leading to new insights and innovation for data-driven science both within and beyond the context of the domains in which the clusters are rooted; the creation of a cross-border open innovation environment for FAIR (Findable, Accessible, Interoperable and Reusable) data management for economies of scale, to develop synergies and rise the efficiency and productivity of researchers through open-science standards and thematic services; the enhanced co-developments to foster the cross-domain interoperability central to the EOSC goal. The Science Clusters are an integral part of EOSC. Their services and outcomes are now forming the core of the emerging EOSC fabric. As important partners of EOSC, Science Clusters contribute to its development and its implementation process. Importantly, the Science Clusters form a natural collaboration between the ESFRI RIs’ management boards partners in the clusters. As EOSC matures and begins delivering data and services for European research, a discussion is needed to stimulate the Open Science practices, cross-domain interoperability and long-term coordination of the scientific communities covered by the five Science Clusters. This position paper contributes formally to explain the urgent need of EC to support a longer-term role of the five Science Clusters to provide content to the EOSC, to enhance researchers’ involvement in Open Science and to suggest potential cooperative pathways in the Horizon-Europe framework and along with the EOSC Association roadmap. This paper is aimed at highlighting: Expectations of the clusters and the concerned research communities, pointing out a common structured vision and a series of suggestions for the future. A more detailed analysis from each cluster, that is provided for completeness.

  • Open Access English
    Authors: 
    Lamanna, Giovanni; Bird, Ian; Petzold, Andreas; Asmi, Ari; Brus, Magdalena; Blomberg, Niklas; Dimper, Rudolf; Gotz, Andrew; Dekker, Ron;
    Publisher: Zenodo
    Project: EC | ESCAPE (824064), EC | SSHOC (823782), EC | EOSC-Life (824087), EC | ENVRI-FAIR (824068), EC | PaNOSC (823852)

    THE SCIENCE CLUSTERS are EU collaborative projects that were launched in 2019 to link ESFRI and other world-class Research Infrastructures (RIs) to the European Open Science Cloud (EOSC). The main impacts of the Science Clusters’ work programme concern: the improved access of researchers to data, tools and resources, leading to new insights and innovation for data-driven science both within and beyond the context of the domains in which the clusters are rooted; the creation of a cross-border open innovation environment for FAIR (Findable, Accessible, Interoperable and Reusable) data management for economies of scale, to develop synergies and rise the efficiency and productivity of researchers through open-science standards and thematic services; the enhanced co-developments to foster the cross-domain interoperability central to the EOSC goal. The Science Clusters are an integral part of EOSC. Their services and outcomes are now forming the core of the emerging EOSC fabric. As important partners of EOSC, Science Clusters contribute to its development and its implementation process. Importantly, the Science Clusters form a natural collaboration between the ESFRI RIs’ management boards partners in the clusters. As EOSC matures and begins delivering data and services for European research, a discussion is needed to stimulate the Open Science practices, cross-domain interoperability and long-term coordination of the scientific communities covered by the five Science Clusters. This position paper contributes formally to explain the urgent need of EC to support a longer-term role of the five Science Clusters to provide content to the EOSC, to enhance researchers’ involvement in Open Science and to suggest potential cooperative pathways in the Horizon-Europe framework and along with the EOSC Association roadmap. This paper is aimed at highlighting: Expectations of the clusters and the concerned research communities, pointing out a common structured vision and a series of suggestions for the future. A more detailed analysis from each cluster, that is provided for completeness.

  • Other research product . Other ORP type . 2021
    Authors: 
    Munz, Tanja (University of Stuttgart); Garcia, Rafael (University of Stuttgart); Weiskopf, Daniel (University of Stuttgart);
    Publisher: DaRUS

    Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation: Python scripts to prepare data for analysis. In these scripts, Long Short-Term Memory (LSTM) models are trained and data for our visual analytics system is exported. visualAnalytics: The source code of our visual analytics system to explore hidden states. demonstrationData: Data files for the use with our visual analytics system. The same data can also be generated with the data preparation scripts. We provide two scripts to generate data for analysis in our visual analytics system: for the IMDB and Reuters dataset as available in Keras. The output files can then be loaded into our visual analytics system; their locations have to be specified in userData.toml of the visual analytics system. The output file of our data preparation scripts or the ones provided for demonstration can be loaded in our visual analytics system for visualization and analysis. Since we provide input files, you do not have to run the preprocessing steps and can use our visual analytics system immediately. Please have a look at the respective README-files for more details. IMDB and Reuters datasets: F. Chollet. Keras. GitHub. https://github.com/fchollet/keras. 2015. You may find the most recent version of the source code on GitHub: https://github.com/MunzT/hiddenStatesVis

  • Other research product . Other ORP type . 2021
    Authors: 
    van Limpt - Broers, Anna (Tilburg University); Louwerse, Max. M. (Tilburg University); Postma, Marie (Tilburg University);
    Publisher: DataverseNL

    The data was recorded from primary school children visiting a VR simulation. It contains questionnaire data on knowledge (about space), compassion and awe, the overview effect, presence and immersion. It also contains gaze data (angle of gaze away from center point area of interest in VR). In this study we investigated whether the overview effect could be recreated for these children, and what its impact was on learning.