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The European Geothermal Research & Innovation Search Engine (EGRISE) enables the discovery of research products (e.g. project deliverables, papers, datasets) produced in EU-funded geothermal projects and by the whole geothermal community worldwide. This empowered version of EGRISE takes advantage of the 'Connect' OpenAIRE application, offering numerous research products from different content providers in the geothermal research domain. All research products proposed by EGRISE have a complete set of meta (including DOI), and 'Open Access' ones can be downloaded. Also by taking advantage of the EGRISE Monitor Tool, a complete historical perspective of the RD&I in the geothermal landscape is now possible, highlighting success stories and gaps. This version of EGRISE has been designed within the GEOTHERM-FORA project, funded by the European Union (G.A. 101075400).

This community was initially defined to include a very broad range of topics, with the intention to generate a number of more focused and sustainable dashboards for research communities and initiatives. As outlined in the logo of this community, we intend to setup a community dashboard for EuroMarine (a consortium of 56 research and academic organisations) and monitoring dashboards for marine research initiatives, including infrastructures (e.g. EMBRC & EMSO), advisory boards (e.g. Marine Boards & ICES), and transnational funding bodies (e.g. JPI-Oceans and Tara Foundation).

The European University for Smart Urban Coastal Sustainability - EU-CONEXUS promotes common European values and a strengthened European identity by bringing together a new generation of Europeans, who can cooperate and work within different European cultures, in different languages and across borders, sectors and academic disciplines. EU-CONEXUS is committed to creating a new institutional framework for higher education in Europe that allows for a truly European way of studying and carrying out research through institutional alignment and seamless mobility for all. The thematic framework Smart Urban Coastal Sustainability (SmUCS) means for EU-CONEXUS to focus its research & innovation, education and knowledge sharing activities on societal challenges that are linked to a specific geographical location – the urban and semi-urbanised coastal (rivers and oceans) regions. SmUCS is not a subject-driven thematic framework, but a challenge-driven education and research domain.

FORTHEM: Fostering Outreach within European Regions, Transnational Higher Education and Mobility

Community gateway for the OPERAS GoTriple Platform

Heritage Science community gateway is managed by the IPERION HS Research Infrastructure EU project. Heritage science is the interdisciplinary domain of scientific study of cultural or natural heritage. Heritage science draws on diverse humanities, sciences and engineering disciplines. It focuses on enhancing the understanding, care and sustainable use of heritage so it can enrich people's lives, both today and in the future. Heritage science is an umbrella term encompassing all forms of scientific enquiry into human works and the combined works of nature and humans, of value to people. The gateway aims at including all the relevant research outcomes in this field.

Gateway for the GraspOS pilot of INRIA

The Knowmad Research Gateway facilitates researchers, policymakers, activists, and experts to discover publications, data, software, and other research products related to Human Rights, Sustainable Development, Drug Policy, New Technologies, Ethnobotany, and Special Populations. Developed by OpenAIRE and curated by the European Institute for Multidisciplinary Studies on Human Rights & Science - Knowmad Institut, this platform connects research products to projects, organizations, and experts. It uses a network of trusted content providers and algorithms to detect duplicates and extract relevant information from the full-texts of open access publications. Sources and Methodology: The Knowmad Research Gateway combines several trusted sources like OpenAIRE and Zenodo to facilitate the discovery of research inputs based on specific criteria. The information is collected from over 1,000 institutional and thematic repositories, national and regional aggregators, research data archives, journals, and publishers like Crossref, DOAJ, ORCID, and Unpaywall. OpenAIRE’s algorithms detect duplicates and extract relevant information from the full-texts of open access publications, streamlining the search process. Suggesting research contributions is easy. Complete our form with bibliographic information to contribute to global knowledge. 👉 Suggest Research 📖 More about the Knowmad Institut El Knowmad Research Gateway facilita a investigadores, responsables políticos, activistas y expertos el descubrimiento de publicaciones, datos, software y otros productos de investigación relacionados con los Derechos Humanos, el Desarrollo Sostenible, las Políticas de Drogas, las Nuevas Tecnologías, la Etnobotánica y las Poblaciones Especiales. Desarrollada por OpenAIRE y curada por el Instituto Europeo de Estudios Multidisciplinares sobre Derechos Humanos y Ciencia - Knowmad Institut, esta plataforma conecta productos de investigación con proyectos, organizaciones y expertos. Utiliza una red de proveedores de contenido confiables y algoritmos que detectan duplicados y extraen información relevante de los textos completos de las publicaciones de acceso abierto. Fuentes y Metodología: El Knowmad Research Gateway combina varias fuentes confiables, como OpenAIRE y Zenodo, para facilitar el descubrimiento de investigaciones según criterios específicos. La información es proporcionada por más de 1,000 repositorios institucionales y temáticos, agregadores nacionales y regionales, archivos de datos de investigación, revistas y editores como Crossref, DOAJ, ORCID, y Unpaywall. Los algoritmos de OpenAIRE detectan duplicados y extraen información relevante de los textos completos de publicaciones de acceso abierto, optimizando el proceso de búsqueda. Sugerir aportaciones de investigación es sencillo. Completa nuestro formulario con la información bibliográfica para contribuir al conocimiento global. 👉 Sugerir Investigación 📖 Más información sobre el Knowmad Institut Das Knowmad Research Gateway ermöglicht es Forschern, politischen Entscheidungsträgern, Aktivisten und Experten, Publikationen, Daten, Software und andere Forschungsprodukte im Zusammenhang mit Menschenrechten, nachhaltiger Entwicklung, Drogenpolitik, neuen Technologien, Ethnobotanik und speziellen Bevölkerungsgruppen zu entdecken. Entwickelt von OpenAIRE und kuratiert vom Europäischen Institut für Multidisziplinäre Studien zu Menschenrechten und Wissenschaft - Knowmad Institut, verbindet diese Plattform Forschungsprodukte mit Projekten, Organisationen und Experten. Sie nutzt ein Netzwerk vertrauenswürdiger Inhaltsanbieter und Algorithmen zur Erkennung von Duplikaten und zum Extrahieren relevanter Informationen aus den Volltexten von Open-Access-Publikationen. Quellen und Methodik: Das Knowmad Research Gateway kombiniert mehrere vertrauenswürdige Quellen wie OpenAIRE und Zenodo, um die Entdeckung von Forschungsbeiträgen auf der Grundlage spezifischer Kriterien zu erleichtern. Die Informationen stammen aus über 1.000 institutionellen und thematischen Repositorien, nationalen und regionalen Aggregatoren, Forschungsdatenarchiven, Zeitschriften und Verlagen wie Crossref, DOAJ, ORCID und Unpaywall. OpenAIRE-Algorithmen erkennen Duplikate und extrahieren relevante Informationen aus den Volltexten von Open-Access-Publikationen, was den Suchprozess optimiert. Das Vorschlagen von Forschungsbeiträgen ist einfach. Füllen Sie unser Formular mit bibliografischen Informationen aus, um zum globalen Wissen beizutragen. 👉 Forschung Vorschlagen 📖 Mehr über das Knowmad Institut

NEANIAS Atmospheric Research Community engages Open Science practices through the European Open Science Cloud (EOSC), targeting a wide variety of sectors related to the atmosphere. The sectors it targets include, among others, meteorologists, industrial air pollutant emitters, ecologists, geologists, rural urban planners and air quality authorities, geohazards, civil protection, insurance or health agencies. More in detail, NEANIAS Atmospheric group offers the following services on the EOSC platform: The Greenhouse Gases Flux Density Monitoring service (A1 - ATMO-FLUD) delivers an operational workflow for estimating flux density and fluxes of gases, aerosol, energy from data obtained from specifically set meteorological stations, validated towards standardized, regularized processes. The Atmospheric Perturbations and Components Monitoring service (A2, divided in two services, ATMO-STRESS and ATMO-SEISM) performs all required analyses of atmospheric and geological data in order to estimate possible correlations of gaseous and particulate components of the atmosphere with earthquake and volcanic processes. The Air Quality Estimation, Monitoring and Forecasting service (A3 – ATMO-4CAST) delivers a novel cloud-based solution providing crucial information and products to a variety of stakeholder in agriculture, urban/ city authorities, health, insurance agencies and relative governmental authorities. NEANIAS: https://www.neanias.eu/

The NEANIAS Space Research Community engages Open Science practices through the European Open Science Cloud (EOSC), targeting a wide variety of scientific and professional communities related to Astrophysics and Planetary Science engaging also computer scientists and software engineers interested in computer vision and machine learning. NEANIAS Space Services data and products may also have a high impact in planetary mining and robotics, space weather and mobile telecommunications. The NEANIAS Space Research services are aimed at supporting management and analysis of large data volumes in astrophysics and planetary sciences through visualization (SPACE-VIS services), efficiently generating large multidimensional maps and mosaics (SPACE-MOS services), and, finally, supporting mechanisms for automatic detection of structures within maps through machine learning (SPACE-ML services). The SPACE-VIS services provide an integrated operational solution for astrophysics and planetary data management aided by advanced visualization mechanisms, including visual analytics and virtual reality, and it is underpinned by FAIR principles. The ViaLactea service accesses astrophysical surveys to aid understanding of the star formation process of the Milky Way. ViaLactea Visual Analytics (VLVA) combine different types of visualization to perform analysis by exploring correlations managed in the ViaLactea Knowledge Base (VLKB). VLKB includes 2D and 3D (velocity cubes) surveys, numerical model outputs, point-like and diffuse object catalogues and allows for retrieval of all available datasets as well as cut-outs on the positional and/or velocity axis. The Astra Data Navigator (ADN) is a virtual reality environment for visualizing large stellar catalogues. The first prototype has been customised to access cloud services for interactive data exploration and navigation with the ability of exploring advanced virtual reality mechanisms providing full immersion. Finally, the ADAM-Space Service (Advanced Geospatial Data Management platform) accesses a large variety of environmental data and is customised in NEANIAS to access planetary data. The SPACE-MOS services provide tools for making high quality images from raw data (map making) and for assembling such images into custom mosaics (mosaicing). The AstroMapMerging service exploits Montage (http://montage.ipac.caltech.edu/) and is integrated with the ViaLactea service for merging adjacent datasets. The ISIS3 and ASP under ADAM-DPS service allows integration with data processing pipelines in ADAM which offers tools for planetary data analysis and for producing cartographic products, such as Digital Elevation Models (DEMs) and 3D models from stereo imagery. The SPACE-ML services provide advanced solutions for pattern and structure detection in astronomical surveys as well as in planetary surface composition, topography and morphometry. The service integrates cutting-edge machine learning algorithms to perform automatic classification of compact and extended sky structures or planetary surfaces. CAESAR service allows to extract and parametrize compact and extended sources from astronomical radio interferometric maps. The processing pipeline consists of a series of distinct stages that can be run on multiple cores and processors. AstroML service has been developed to integrate a deep learning mechanism to significantly improve source identification, classification, and characterization of sources in large-scale radio surveys. The Latent Space Explorer service performs unsupervised representation learning of astronomical images using deep learning techniques (e.g., autoencoders) and interactive visualization of the representations with the chance to apply clustering methods in order to help the domain expert to understand the structure of the representation space. Please visit also the NEANIAS Space thematic portal for more info on the Space Services and the research community. NEANIAS web portal: https://www.neanias.eu/ Please consider acknowledging the NEANIAS project if you use the results of this service in any paper or communication: NEANIAS is funded by European Union under Horizon 2020 research and innovation programme via grant agreement No. 863448.