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53 Research products

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  • Authors: Paula Marti; Nuno Grosso; David Petit; Claudia Sisti; +26 Authors

    Climate change is impacting Mediterranean viticulture with reduced water availability, rising temperatures, and extreme weather events, affecting grape quality and yields. Despite challenges, preserving viticulture is vital for the region's heritage and sustainable development. Adaptation strategies must be systemic, considering long-term climate trends, resource availability, and broader agricultural and economic factors. Collective action and foresight are essential for a comprehensive and effective adaptation plan to ensure the resilience of Mediterranean winegrowing. The TELLURIS project aims to develop local to regional adaptation plans in eight Mediterranean regions of five of the biggest wine producing European countries, focusing on transformative systemic adaptations and nature-based solutions to combat climate change impacts on viticulture. The process of crafting the adaptation strategy will be guided by multi-stakeholder participation and informed by evidence from remote sensing, in-situ observations, and soil analyses collected from nine extensive demonstration sites, where some of the selected nature-based and smart farming climate adaptation methods will be tested. In conjunction with these pathways, TELLURIS will establish a network of viticulture regions within the scope of the Mission Adaptation to Climate Change. This network will leverage the disseminated findings from the project to craft their unique adaptation strategies and introduce transformative changes to the European wine sector. The future roadmap for this transformation will be guided by an upscaling methodology that will be developed during the project to generate suitability maps for regions with similar adaptation potential as the TELLURIS regions. It will also be supported by the establishment of climate adaptation support tools and services built upon the tested solutions, complete with clearly defined business models.

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  • Authors: Papini O.;

    This software consists of a Python 3 implementation of the Mesoscale Events Classifier (MEC) algorithm, which has been developed as part of the activities of Task 8.5 of the NAUTILOS project. The algorithm uses Sea Surface Temperature data coming from satellite missions to detect and classify patterns associated with "mesoscale events" in an upwelling ecosystem.

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  • Authors: Candela L.; Castelli D.; Mangione D.;

    Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.

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  • Authors: Lenzi E.; Bartalesi V.; Pratelli N.; Coro G.; +1 Authors

    In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface. The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event). All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared. Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.

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  • Authors: Mangione D.; Candela L.; Castelli D.;

    Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.

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  • Authors: Arezoumandan M.; Candela L.; Castelli D.; Ghannadrad A.; +2 Authors

    This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.

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  • Authors: Dionys Forster; Dionys Forster; Intza Balenciaga; Tamara Naydenova; +22 Authors

    The second ATLAS Demo Day held on the 23rd of November 2022, brought together the ATLAS Open Call 2021 winners and prominent speakers from the agricultural and food industry to showcase the benefits of data-driven services using the ATLAS Interoperability Network within a multitude of pilot studies. Organised under the title: "Business Opportunities for Innovative Digital Data-Driven Agriculture - Part II", the online event will casted light on agricultural challenges and opportunities to overcome these through digital data-driven services. For more information visit the ATLAS website www.atlas-h2020.eu.

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  • Authors: Giovanni Matranga; Francesco Palazzi; Giorgio Capello; Marcella Biddoccu; +3 Authors

    Per il raggiungimento di tale scopo, dal 24 al 27 maggio 2022 sono stati eseguiti dei test funzionali del veicolo a guida autonoma presso la pista di collaudo dell'istituto STEMS di Torino, che ha sede a Candiolo (TO) e presso l'azienda sperimentale "Vezzolano" ad Albugnano (AT). Le attività svolte durante queste giornate sono state documentate tramite foto e video, utili alla produzione di un videoclip utile alla divulgazione dei risultati fino ad ora raggiunti e della ricerca perseguita dal gruppo di ricerca. Il video realizzato è stato ad oggi proiettato in diverse occasioni.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dario Albani; Wolfgang Hönig; Daniele Nardi; Nora Ayanian; +1 Authors

    Complex service robotics scenarios entail unpredictable task appearance both in space and time. This requires robots to continuously relocate and imposes a trade-off between motion costs and efficiency in task execution. In such scenarios, multi-robot systems and even swarms of robots can be exploited to service different areas in parallel. An efficient deployment needs to continuously determine the best allocation according to the actual service needs, while also taking relocation costs into account when such allocation must be modified. For large scale problems, centrally predicting optimal allocations and movement paths for each robot quickly becomes infeasible. Instead, decentralized solutions are needed that allow the robotic system to self-organize and adaptively respond to the task demands. In this paper, we propose a distributed and asynchronous approach to simultaneous task assignment and path planning for robot swarms, which combines a bio-inspired collective decision-making process for the allocation of robots to areas to be serviced, and a search-based path planning approach for the actual routing of robots towards tasks to be executed. Task allocation exploits a hierarchical representation of the workspace, supporting the robot deployment to the areas that mostly require service. We investigate four realistic environments of increasing complexity, where each task requires a robot to reach a location and work for a specific amount of time. The proposed approach improves over two different baseline algorithms in specific settings with statistical significance, while showing consistently good results overall. Moreover, the proposed solution is robust to limited communication and robot failures.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Sciences; Op...arrow_drop_down
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    Applied Sciences; OpenAIRE
    Other literature type . Article . Other ORP type . 2021 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Article . 2021
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    Applied Sciences
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    Applied Sciences
    Article . 2021
    Data sources: DOAJ-Articles
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      Other literature type . Article . Other ORP type . 2021 . Peer-reviewed
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2021
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • Authors: Andrea Paoletti; Filippo Micheletti Ph.D.; Fulvio Ratto Ph.D; Pawel Glodek Ph.D/DSc; +11 Authors

    The INDEX - Industrial Expert Basic Module provides comprehensive knowledge for the successful implementation of Industry 4.0 solutions. This class on Introduction Industry 4.0 provides basic knowledge about the key innovative concepts and technologies and covers five areas: 1. Entrepreneurship, Technology and Restructuring Management (E-TRIM) 2. Sensors and Automation 3. Additives Manufacturing 4. Internet of Things 5. Augmented Reality

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53 Research products
  • Authors: Paula Marti; Nuno Grosso; David Petit; Claudia Sisti; +26 Authors

    Climate change is impacting Mediterranean viticulture with reduced water availability, rising temperatures, and extreme weather events, affecting grape quality and yields. Despite challenges, preserving viticulture is vital for the region's heritage and sustainable development. Adaptation strategies must be systemic, considering long-term climate trends, resource availability, and broader agricultural and economic factors. Collective action and foresight are essential for a comprehensive and effective adaptation plan to ensure the resilience of Mediterranean winegrowing. The TELLURIS project aims to develop local to regional adaptation plans in eight Mediterranean regions of five of the biggest wine producing European countries, focusing on transformative systemic adaptations and nature-based solutions to combat climate change impacts on viticulture. The process of crafting the adaptation strategy will be guided by multi-stakeholder participation and informed by evidence from remote sensing, in-situ observations, and soil analyses collected from nine extensive demonstration sites, where some of the selected nature-based and smart farming climate adaptation methods will be tested. In conjunction with these pathways, TELLURIS will establish a network of viticulture regions within the scope of the Mission Adaptation to Climate Change. This network will leverage the disseminated findings from the project to craft their unique adaptation strategies and introduce transformative changes to the European wine sector. The future roadmap for this transformation will be guided by an upscaling methodology that will be developed during the project to generate suitability maps for regions with similar adaptation potential as the TELLURIS regions. It will also be supported by the establishment of climate adaptation support tools and services built upon the tested solutions, complete with clearly defined business models.

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  • Authors: Papini O.;

    This software consists of a Python 3 implementation of the Mesoscale Events Classifier (MEC) algorithm, which has been developed as part of the activities of Task 8.5 of the NAUTILOS project. The algorithm uses Sea Surface Temperature data coming from satellite missions to detect and classify patterns associated with "mesoscale events" in an upwelling ecosystem.

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  • Authors: Candela L.; Castelli D.; Mangione D.;

    Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.

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  • Authors: Lenzi E.; Bartalesi V.; Pratelli N.; Coro G.; +1 Authors

    In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface. The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event). All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared. Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.

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  • Authors: Mangione D.; Candela L.; Castelli D.;

    Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.

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  • Authors: Arezoumandan M.; Candela L.; Castelli D.; Ghannadrad A.; +2 Authors

    This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.

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  • Authors: Dionys Forster; Dionys Forster; Intza Balenciaga; Tamara Naydenova; +22 Authors

    The second ATLAS Demo Day held on the 23rd of November 2022, brought together the ATLAS Open Call 2021 winners and prominent speakers from the agricultural and food industry to showcase the benefits of data-driven services using the ATLAS Interoperability Network within a multitude of pilot studies. Organised under the title: "Business Opportunities for Innovative Digital Data-Driven Agriculture - Part II", the online event will casted light on agricultural challenges and opportunities to overcome these through digital data-driven services. For more information visit the ATLAS website www.atlas-h2020.eu.

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  • Authors: Giovanni Matranga; Francesco Palazzi; Giorgio Capello; Marcella Biddoccu; +3 Authors

    Per il raggiungimento di tale scopo, dal 24 al 27 maggio 2022 sono stati eseguiti dei test funzionali del veicolo a guida autonoma presso la pista di collaudo dell'istituto STEMS di Torino, che ha sede a Candiolo (TO) e presso l'azienda sperimentale "Vezzolano" ad Albugnano (AT). Le attività svolte durante queste giornate sono state documentate tramite foto e video, utili alla produzione di un videoclip utile alla divulgazione dei risultati fino ad ora raggiunti e della ricerca perseguita dal gruppo di ricerca. Il video realizzato è stato ad oggi proiettato in diverse occasioni.

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    Authors: Dario Albani; Wolfgang Hönig; Daniele Nardi; Nora Ayanian; +1 Authors

    Complex service robotics scenarios entail unpredictable task appearance both in space and time. This requires robots to continuously relocate and imposes a trade-off between motion costs and efficiency in task execution. In such scenarios, multi-robot systems and even swarms of robots can be exploited to service different areas in parallel. An efficient deployment needs to continuously determine the best allocation according to the actual service needs, while also taking relocation costs into account when such allocation must be modified. For large scale problems, centrally predicting optimal allocations and movement paths for each robot quickly becomes infeasible. Instead, decentralized solutions are needed that allow the robotic system to self-organize and adaptively respond to the task demands. In this paper, we propose a distributed and asynchronous approach to simultaneous task assignment and path planning for robot swarms, which combines a bio-inspired collective decision-making process for the allocation of robots to areas to be serviced, and a search-based path planning approach for the actual routing of robots towards tasks to be executed. Task allocation exploits a hierarchical representation of the workspace, supporting the robot deployment to the areas that mostly require service. We investigate four realistic environments of increasing complexity, where each task requires a robot to reach a location and work for a specific amount of time. The proposed approach improves over two different baseline algorithms in specific settings with statistical significance, while showing consistently good results overall. Moreover, the proposed solution is robust to limited communication and robot failures.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Sciences; Op...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Applied Sciences; OpenAIRE
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  • Authors: Andrea Paoletti; Filippo Micheletti Ph.D.; Fulvio Ratto Ph.D; Pawel Glodek Ph.D/DSc; +11 Authors

    The INDEX - Industrial Expert Basic Module provides comprehensive knowledge for the successful implementation of Industry 4.0 solutions. This class on Introduction Industry 4.0 provides basic knowledge about the key innovative concepts and technologies and covers five areas: 1. Entrepreneurship, Technology and Restructuring Management (E-TRIM) 2. Sensors and Automation 3. Additives Manufacturing 4. Internet of Things 5. Augmented Reality