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.

NEANIAS Underwater Research Community engages Open Science practices through the European Open Science Cloud (EOSC), targeting a wide variety of scientific and professional communities related to the marine environment. NEANIAS Underwater group provides three user-friendly, cloud-based solutions addressing bathymetry processing, seafloor mosaicking and classification (https://www.neanias.eu/index.php/services/underwater). More specifically: Bathymetry Mapping from Acoustic Data service delivers an advanced, user-friendly, cloud-based version of the popular open-source MB-System software for post-processing bathymetry through Jupyter notebooks with additional functionalities . The Seafloor Mosaicing from Optical Data service provides an operational solution for large area representation (in the order of tens of thousands of images) of the predominantly flat, seafloor, also addressing visibility limitations from the underwater medium (https://marketplace.eosc-portal.eu/services/uw-mos). The Seabed Classification from Multispectral, Multibeam Data service delivers a user-friendly cloud-based solution integrating cutting-edge machine learning frameworks for mapping several seabed classes, validated for archaeological, geo-hazards, energy, and other applications (https://marketplace.eosc-portal.eu/services/uw-map). NEANIAS: https://www.neanias.eu/

A comprehensive and open dataset of research information covering 3m publications, 500k research data, 100 research software items, from 48 data sources, linked to 3K grants and 900 organizations. All linked together through citations and semantics.

The neuroinformatics dashboard gathers research outputs from the 'neuroinformatics' community at large including the fields of: neuroscience, neuroinformatics, brain imaging databases and standards, brain imaging techniques, neuroimaging methods including statistics and machine learning. The dashboard covers a wide range of imaging methods including (but not limited to): MRI, TEP, EEG, MEG, and studies involving human participants as well as animal studies.

North American Studies was born in the context of collaboration between CISAN, the Center for Research on North America and the multi and interdisciplinary research Unit of Universidad National Autonoma de Mexico UNAM, and OpenAIRE. The aim of this collaboration is to strengthen the integration and automated intercommunication between digital platforms in North America and Europe and become a leading platform for North America Studies which will facilitate communication among the community. In this community scholars, teachers, students, policy stakeholders, journalists and anyone interested in the validated information of the region will be very welcome and able to find easy and directly research outputs on North American Studies, enriching and updating their knowledge from very diverse perspectives and origins in a single portal. The platform is managed by MiCISAN, the institutional repository of CISAN, whose purpose is collecting research on North American research findings. With OpenAIRE collaboration, it will be possible the integration, organization, protection and dissemination of the CISAN’s scientific products, and similar scientific sources and resources by following the OpenAIRE guidelines and FAIR Principles, in the frame of Open Science.