Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- 0a19b2b3-0109-4de4-9160-a958f139f8ab description "A bubble Barrier that removes litter from rivers is being applied in the Ave estuary (Portugal) in the framework of the MAELSTROM Project. In order to identify the location where the technology could possibly best be applied and to assess the impact of the litter removal on marine life, MAELSTROM makes use of numerical models. Facing the limited field data and absence of available models, we carried out field campaigns, set-up a hydrological model for the Ave river basin and set-up a hydrodynamic model for the estuarine region. The hydrodynamic numerical model for the Ave estuary was implemented using D-Flow Flexible Mesh (D-Flow FM), which is the hydrodynamic module of the Delft3D Flexible Mesh Suite developed by Deltares (for more information see the project deliverable D2.2 Numerical modelling and field campaigns to support litter removal at the demo sites)." assertion.
- 7bdd7b5d-1b94-4c4b-9ab9-fbbd3a4aaf65 description "A bubble Barrier that removes litter from rivers is being applied in the Ave estuary (Portugal) in the framework of the MAELSTROM Project. In order to identify the location where the technology could possibly best be applied and to assess the impact of the litter removal on marine life, MAELSTROM makes use of numerical models. Facing the limited field data and absence of available models, we carried out field campaigns, set-up a hydrological model for the Ave river basin and set-up a hydrodynamic model for the estuarine region. The hydrodynamic numerical model for the Ave estuary was implemented using D-Flow Flexible Mesh (D-Flow FM), which is the hydrodynamic module of the Delft3D Flexible Mesh Suite developed by Deltares (for more information see the project deliverable D2.2 Numerical modelling and field campaigns to support litter removal at the demo sites)." assertion.
- 9b809a70-34cd-4083-a75d-cf32b4bf7df3 description "n the framework of the MAELSTROM Project, the specific objective for the Portuguese demo site Ave estuary was to understand the flow dynamics in the estuary associated with river discharge and tides, in order to estimate the transport and fate of litter and to help the detailed design of the Bubble Barrier system. Since very limited observations and no flow velocity observations were available for the Ave estuary, Deltares carried out the following activities: - A bathymetric survey was carried out to obtain bed level in the entire estuary, needed for both the set-up of the hydrodynamic model and to prepare for the implementation of the Bubble Barrier system. - Flow velocity and density variation were measured during a tidal cycle (about 13 hours) at selected locations (short-term), during the summer and the winter. - For several weeks (long-term) flow velocity and density were monitored at two locations in the estuary. - In absence of observations, a hydrological model was set-up to obtain river discharge. - Finally, a hydrodynamic model was set-up to obtain flow velocity fields in the area of interest for different tidal and river discharge conditions. This dataset consists in a time series of daily discharge in the second tab. While, the first tab gives an overview of the location and Ave catchment in Portugal. The time series was obtained by running a hydrological model that was set-up for the catchment. Using European data like rainfall, the river discharge was calculated. For more details, see MAELSTROM deliverable 2.2." assertion.
- 5e53ec13-7cdb-4e41-95aa-f48b4206ead4 description "# Towards the FAIRification of a city-level Climate Adaptation Strategy ## Vision & Ambitions This case study seeks to: 1. Enhance the accessibility, usability and clarity of a climate adaptation strategy by applying FAIR (Findable, Accessible, Interoperable, Reusable) principles to both the policy document itself and its underlying climate risk and adaptation data. 2. Support effective science-policy communication by ensuring that climate risk and adaptation information is structured, documented, and presented in a way that is understandable and actionable for policymakers and stakeholders. 3. Point out gaps and improve FAIRness for key datasets by engaging with data providers and data users. ## Description Climate adaptation strategies are essential for guiding responses to climate-related risks at local and regional levels. These strategies often serve as reference documents for policymakers, practitioners, and other stakeholders involved in planning and implementing adaptation measures. However, such documents and datasets are often difficult to locate, interpret, or reuse due to inconsistent formats, insufficient metadata, or unclear communication. The project addresses these challenges and aims to make such documents more accessible by applying FAIR principles to a selected climate adaptation strategy and its associated climate risk and adaptation data, as well as by enhancing data-policy communication and, in this context, the updating process of adaptation strategies. Understanding the needs of city council staff, policymakers, stakeholders, and data users will also be a key focus, to ensure that the data and information provided by the strategy can be effectively integrated into their work. ## FAIR2Adapt Contribution Fair2Adapt supports the FAIRification of climate adaptation strategies and related data by reviewing existing materials, engaging with stakeholders, and promoting FAIR best practices for data management and enhanced science-policy communication. The project aims to improve the accessibility and usability of adaptation information for policy and decision-making. - Reviewing and enhancing climate risk and adaptation strategy documents to ensure alignment with FAIR standards. - Enriching the policy document with machine-readable metadata and standardized vocabularies to improve discoverability and integration with other data sources. - Producing communication approaches that translate complex datasets into actionable, policy-relevant insights based on FAIR criteria. ## Lead Partner adelphi ## External Stakeholders involved in CCA Decision- and policy-makers, knowledge producers (e.g., climate data providers), knowledge brokers (e.g., consultancies), city councils, and other user groups" assertion.
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- 2a889d82-5b8c-48c2-820b-e8da468d64bf description "# Case Study for extending weADAPT and the Climate Connectivity Hub This case study is divided in two sub cases: 1. Connecting the CCA knowledge landscape through weADAPT 2. Connecting and visualising the CCA knowledge landscape through the Climate Connectivity Hub ## 1st sub-case study: Connecting the CCA knowledge landscape through weADAPT ### Vision & Ambitions The goals and tasks of this case study look as follows: 1) Improve weADAPT to support communities, planners, practitioners, students, researchers and policymakers in accessing and sharing climate-resilient adaptation information and strategies that inform local, national, regional, and global policy processes. 2) Break down silos and avoid redundancy, replication, and wasted resources while promoting collaboration, dialogue, and learning, by harnessing the wealth of existing knowledge across various portals, platforms, and publications, and providing guidance on how to connect this knowledge together. 3) Integrate weADAPT in EOSC. Ensure that climate adaptation knowledge is accessible within EOSC, increasing its usability for a broad range of stakeholders. ### Description Users cannot quickly and easily find information, which impedes communication, coordination and collaboration. Knowledge is increasingly online, but fragmented, unstructured and siloed so users find it hard to search and discover information that they may not know exists. weADAPT is a global online knowledge-sharing platform designed to improve access to climate adaptation information, widely used amongst researchers, practitioners and decision-makers. Knowledge on the platform is organized around +25 themes and networks, and the platform also uses keywords to enhance discoverability. This project aims to make climate adaptation knowledge more accessible, discoverable, and usable by developing improved taxonomies and knowledge graphs. We hope it will also improve communication and collaboration between different stakeholders. The project will involve extracting, curating and making climate and non-climate information available. Key sources include climate data, socio-economic scenarios, case studies, adaptation measures, among others) from popular knowledge portals, platforms and publications, all of which are necessary to support the development and implementation of adaptation planning. ### FAIR2Adapt Contribution As part of this F2A case study, we will use AI to analyse the harvested content and automatically construct taxonomies and knowledge graphs.These tool will: - Ensure resources are well-described to be more discoverable on weADAPT; - Facilitatie more intuitive and accessible navigation of climate knowledge on the platform; - Support the development of a a glossary with clearly defined terms. ### Lead Partner SEI ### External Stakeholders involved in CCA Knowledge producers, decision- and policy-makers, knowledge brokers, governmental agencies, citizens. ## 2nd sub-case study: Connecting and visualising the CCA knowledge landscape through the Climate Connectivity Hub ### Vision & Ambitions The goals and tasks of this case study look as follows: 1) Improve the Connectivity Hub to support communities, planners, practitioners, students, researchers and policymakers in accessing and sharing climate-resilient adaptation strategies that inform local, national, regional, and global policy processes. 2) Break down silos and avoid redundancy, replication, and wasted resources while promoting collaboration, dialogue, and learning, by harnessing the wealth of existing knowledge across various portals, platforms, and publications, and providing guidance on how to connect this knowledge together. 3) Integrate the Connectivity Hub in EOSC. ### Description #### Automated adaptation content harvesting and visualisation (Pan-European) Users cannot quickly and easily find information, which impedes communication, coordination and collaboration. Knowledge is increasingly online, but fragmented, unstructured and siloed so users find it hard to search and discover information that they may not know exists. Creating improved taxonomies or knowledge graphs for the area of climate resilience will enhance search capabilities, improve communication and collaboration, and promote a shared understanding. Extract, curate and make available climate and non-climate information (e.g., climate data, socio-economic scenarios, case studies, adaptation measures, among others) from popular knowledge portals, platforms and publications, specifically necessary to support the development and implementation of adaptation planning. ### FAIR2Adapt Contribution Use of AI to analyse the harvested content and automatically construct taxonomies and knowledge graphs to both visualise the content on the Connectivity Hub and ensure resources are more discoverable. When translated into a glossary the taxonomy provides a range of definitions of common terms that are used differently by different communities to further support learning. ### Lead Partner SEI ### External Stakeholders involved in CCA Knowledge producers, decision- and policy-makers, knowledge brokers, governmental agencies, citizens." assertion.
- F2A_WP6_CS4_Catalogue_v2.xlsx?d=wa3d0b77e344340f3acfb4f42af875fcd&csf=1&web=1&e=Ktoujh description "Catalogue of resources and services to be FAIRified and added to the Portuguese National Adaptation Hub" assertion.
- Records%20to%20screen%20V2%2016.05.xlsx?d=w6654b3283d3d42f0b51e950e4de104dd&csf=1&web=1&e=BoRFdA description "Data records from the systematic literature review for the Portuguese National Adaptation Hub. It contains a list of peer-reviewed publications and metadata for each." assertion.
- 2cace03a-fa6d-450a-9192-dd17fe85a941 description "# Developing and testing a FAIR-by-design national adaptation hub ## Vision & Ambitions In this case study, we: 1) Develop data and knowledge management FAIR and open data resources to serve as basis for the design of national adaptation hubs; 2) Test, in practice, the FAIR2Adapt approach to the design of Portugal’s first National Adaptation Hub. ## Description ### Design of national adaptation platforms (Portugal) Countries and regions are under growing pressure to build additional resilience in response to observed and projected climate change. Additionally, Member States and regional governments are expected to adjust their climate policies in response to the EU’s call for a smarter, faster and more systemic adaptation, as set forward in the 2021 EU Strategy on Adaptation to Climate Change. A profusion of national and regional adaptation portals, platforms and other initiatives aiming to support policymakers and practitioners in their adaptation planning has led to confusion amongst users about good practice and what is relevant, salient and credible information. Find, extract, curate and make available climate and non-climate knowledge and information (e.g., climate projections, socio-economic, environmental and demographic data, case studies, adaptation measures, cost-benefit analysis, among others) from relevant CCA-related portals, platforms and publications, necessary to support the adaptation decision-making planning cycle. ## FAIR2Adapt Contribution Create FDOs from selected sources of relevance to adaptation in the Portuguese context, using the FAIRification Framework and other FAIR supporting resources to leverage RoHub services, allowing the establishment of connections between Data and Executable FDOs with Knowledge-related FDOs, that are useful to stakeholders when developing CCA strategies tailored to their local needs. ## Lead Partner FC.ID ## External Stakeholders involved in CCA National, regional and local governmental agencies (Environmental Agency, Regional and Inter-municipal Administrations , Municipalities), knowledge producers (research centres, state laboratories, insurers) and knowledge brokers (academia, consultancies, climate service providers) in Portugal." assertion.
- 2f432569-3648-4885-bb84-bc9507c5187a description "Parallel session at the European Climate Change Adaptation Conference (ECCA) in Rimini - Italy" assertion.
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- 9c203a7a-d13b-47d6-b8b0-ec1997bcb564 description "First stakeholder workshop for the case study related to the City of Hamburg, Germany." assertion.
- 6a96880e-ac83-48c6-a149-ed5d24f74545 description "Agenda and minutes from the first workshop for the "City of Hamburg" Case Study." assertion.
- ssrn.5231006 description "This study develops a high-resolution pluvial flood risk index by integrating hazard modeling, exposure assessment, and social vulnerability analysis within the IPCC risk framework, and applies it to Hamburg, Northern Germany as a case study. The hazard component is based on a 100-year rainfall event (36 mm/h), modeled using a hydrodynamic flood simulation that accounts for topography, drainage capacity, and land use. Exposure differentiates between mobility-related risks and well-being-related risks, while social vulnerability is quantified using socioeconomic indicators such as age, income, and education status.The results highlight risk hotspots where social vulnerability and flood exposure overlap, providing decision-makers with valuable insights for targeted interventions. The study reveals that social vulnerability does not correlate directly with flood hazard, emphasizing the complexity of urban flood risk. This underscores the need for a holistic approach to risk assessment, integrating climate science, infrastructure planning, and social policies to enhance urban resilience. The methodology developed in this study is transferable to other urban areas, making it a valuable tool for climate adaptation planning and risk-informed decision-making." assertion.
- 9c203a7a-d13b-47d6-b8b0-ec1997bcb564 description "Research Object gathering all information about the first workshop for the City of Hamburg FAIR2Adapt Case Study." assertion.
- b60db721-7a5f-4f82-a7fa-6b2b587a4119 description "# City of Hamburg ### Climate-induced stressors and their effects on urban societies ## Vision & Ambitions The purpose of this case study is to: 1) Examine climate-induced stressors and their effects on urban societies; 2) Integrate socio-economic data on vulnerability and exposure of urban population with physical climate hazard data to explore future climate risks of the city of Hamburg and to inform sustainable climate change adaptation strategies. ## Description ### Urban climate risk assessments (Hamburg, Germany) Hamburg, a city with various climate-related risks, needs to adapt to climate change in a systematic, sustainable and cross-sectoral approach. At the organisational level, the interaction between administration and public companies is crucial for implementing adaptation strategies and consideration of the interactions between the various actors and sectors of the urban system, which is a prerequisite for sustainable adaptation planning. In addition, adaptation and mitigation must be weighed against each other to assess trade-offs and avoid incompatibilities (e.g., urban densification versus adaptation to climate-induced stressors), requiring tailored state-of-the-art climate and adaptation scenarios (e.g., Representative Concentration Pathways RCPs and Shared Socioeconomic Pathways SSPs). Adaptation at the city scale requires very fine-scaled (high-resolution) data. Granulated data on exposure and vulnerability of urban sectors, infrastructure and population as well as data on climate-induced stressors is managed by different city authorities under the Hamburg City Senate, and not always publicly available. Understanding climate risks and barriers to adaptation at urban scale requires a concerted effort across city authorities for data curation and sharing. Data related to climate-induced stressors are often not updated or do not utilise European or global data portals (e.g. Copernicus). So far 572 datasets (e.g., on green spaces, city trees, population data, infrastructure data, building characteristics, soil properties, noise levels, air pollution, weather station data) from different sources or authorities is gathered in a data portal (Geoportal Hamburg), containing metadata and maps in pdf format. Hamburg’s adaptation portals are referenced in Climate-ADAPT but only in terms of qualitative information. ## FAIR2Adapt Contribution FAIRification of available data to enable a more transparent, user-friendly and up-to-date data portal for adaptation decision-making. Provenance information and semantic crosswalks between climate and cross-sectoral data will help in the integration of data. ## Lead Partner UHAM ## External Stakeholders involved in CCA Free and Hanseatic City of Hamburg Senate Chancellery" assertion.
- 01665988-b54c-4989-8e48-85ddedd1cacc description "Folder containing links to Research Objects created during Case study workshops." assertion.
- GAMAR description "RioMAR first hydrodynamical biscay hindcast simulation." assertion.
- GAMAR description "All the RiOMar datasets were generated on the HPC of IFREMER (Brest, France) and made accessible to everyone on the IFREMER DATAMOR." assertion.
- a0007726-0f5b-4ccb-a160-f350d669805e description "First case study workshop for the Blue RiOMar case study." assertion.
- ea3ac578-ab0a-47c8-a10a-9d06678a9450 description "# RiOMar Case Study ### Coastal Water Quality Anticipation to manage coastal zone ecosystem responses for biodiversity conservation ## Vision & Ambitions The aim of this case study is to: 1) Assess coastal water quality and marine ecosystems, anticipate and prepare for emerging climate impacts by the end of the century; 2) Identify risks and vulnerabilities using RiOMar model outputs as a step forward for the definition of scientifically-based CCA strategies. ## Description ### Coastal water quality assessments (France) Monitoring water quality in river-dominated ocean margins and adopting relevant measures to support local businesses such as oyster farmers who are dealing with increasing threats to their business due to climate change. 1) Stakeholders cannot easily access the large amounts of high-resolution data generated by RiOMar; 2) uncertainty about which indicators to compute to assess the vulnerability of coastal zone ecosystems to climate change; 3) difficulties in finding relevant information in their native language (French). ## FAIR2Adapt Contribution FAIRification and data sharing by transforming RiOMar data into Analysis Ready Cloud Optimised data (ARCO), development of tools for enabling stakeholders to exploit the FDOs and easily develop risk and vulnerability maps to develop scientifically-based CCA strategies and plans. ## Lead Partner IFREMER ## External Stakeholders involved in CCA The French Biodiversity Office (OFB), Regional River Agencies, professional users of the coastal zone (e.g. aquaculture farming structures)" assertion.
- d3033361-f680-4b64-9d6c-65e4d381078b description "Case study workshops wherestakeholders meet to define user requirements and/or co-develop solutions." assertion.
- 01ad3c6c-ad0f-4fd5-87ef-a81964187bfd description "Image of the water color captured by the MERIS sensor on the European Envisat satellite on 06/04/2011 – Image credit: European Space Agency (ESA)." assertion.
- j.jmarsys.2025.104068 description "The Regions Of Freshwater Influence (ROFIs) are defined as the area on the continental shelf in the vicinity of estuaries, where freshwater from the river significantly influence water properties and circulation. These regions are subject to a variety of dynamic forcings, including tides, winds and river runoffs, which exhibit considerable variability. The objective of this study is to identify the dominant time scales of variability of the three major ROFIs (Seine, Loire, and Gironde) of the French continental shelf and their evolution over the last two decades. In order to address these questions, we developed a high-resolution numerical simulation of the physical dynamics of the Bay of Biscay and the English Channel. The results demonstrate that the three ROFIs oscillate on the same two cycles: the semidiurnal cycle, caused by tides, and the annual cycle, linked to the seasonal variation in runoff. At the weekly and monthly time scales, two contrasting dynamics emerge. The Seine ROFI, situated in the eastern English Channel, is predominantly influenced by tides and exhibits a third oscillatory cycle, namely the fortnightly cycle. In the Bay of Biscay, the Loire and Gironde ROFIs are more influenced by wind events that shape their monthly variations. The interannual variations are primarily driven by runoff, with an observed reduction in ROFIs extension over the twenty years simulated correlated with a decrease in runoff. However, the combination of shorter timescale events impacts the interannual variability, leading to years with distinctive dynamics of the ROFIs." assertion.
- www.noresm.org description "NorESM (Norwegian Earth System Model) for simulations of radioisotopes in the ocesn" assertion.
- 474cf12e-8c8f-407f-81d7-ed66d2c489a5 description "# Spreading radioactive isotopes in the Arctic under different climate scenarios This Research Object gathers all the information about the Arctic Isotopes FAIR2Adapt Case Study. ## Vision & Ambitions To enable relevant stakeholders to understand the spreading and evolution of radionuclides in marine environment under changing climate and their impact on public and environmental safety, this Case Study 1. analyses the simulated states of hydrology and radionuclides in the North Atlantic and Arctic by the Norwegian Earth System Model NorESM under predefined climate change scenarios; 2. assesses the radionuclide distributions under the historical climate statues and projected climate change scenarios, and the implications for ecosystem exposure. ## Description ### Radionuclide distribution and environmental safety (Arctic) The management of anticipated alternation of seasonal and long-term sea ice coverage and ocean circulation, and more frequent permafrost thawing due to intensified global warming in the Polar regions, and the need to deal with the potential elevation of radiological dose for Arctic residents and wildlife, particularly through redistribution of radionuclides inputs from European nuclear fuel reprocessing plants and through enhanced riverine input from Arctic rivers due to thawing permafrost and increased river runoff. Climate predictions from NorESM are available in the Norwegian Research Data Archive (NIRD Archive) but are unlikely to be directly exploitable by environmental managers. At present, data from NorESM is "dumped" from the High-Performance Computing (HPC) to the NIRD archive with minimal metadata, which makes it difficult for non-expert users to understand and reuse the data for CCA. This challenge is further complicated by the large size of data sets and their preservation in a format unfamiliar to most users. ## FAIR2Adapt Contribution A Framework for FAIRifying climate models e.g. input and generated output data, as well as the model itself (model metadata), for assisting end-users in the definition of sustainable CCA scenarios. ## Lead Partner NERSC ## External Stakeholders involved in CCA Arctic Monitoring and Assessment Programme (AMAP)" assertion.
- 5ecf877b-bd22-4e9e-be81-641c22e1e122 description "tools and examples" assertion.
- 98a6d828-a396-4c3d-87bd-f7f2fc95b256 description "Case study workshops wherestakeholders meet to define user requirements and/or co-develop solutions." assertion.
- 3b688bc2-bde8-43c9-b877-9a0747cfca71 description "## Radioecological Safety in the Arctic Waters under Climate Change Poster presented at the Arctic Emergency Management Conference Program (18-20 March 2025, Bodø, Norway). ### Authors - Yanchun He (NERSC & BCCR, Bergen, Norway, yanchun.he@nersc.no). Yanchun presented the poster at the conference. - Annette Samuelsen (NERSC & BCCR, Bergen, Norway) - Mu Lin (DTU, Roskilde, Denmark) - Jixin Qiao (DTU, Roskilde, Denmark) - Kasper Andersson (DTU, Roskilde, Denmark) - Emil Jeansson (NORCE & BCCR, Bergen, Norway) ### PROGRAM Arctic Emergency Management Conference Program Over the course of three days, the Arctic Emergency Management Conference will feature plenaries and keynote addresses as well as diverse thematic breakout sessions, panels, workshops and a demonstration. Information about livestreaming: Day 1 of the conference will be streamed in full. Days 2 and 3 will have one session from each time slot streamed. You must register for the conference as an online participant to receive the livestream. An overview of poster presentations can be found here. Please note that this is a preliminary program for the conference. The times and placement of sessions are subject to change. We appreciate your understanding and recommend checking for updates closer to the event." assertion.
- ae1baf7e-c36a-49d6-bf1c-ca708d807d51 description "## First Case Study workshop This document contains the agenda and minutes from the first stakeholder workshop for the arctic radioisotopes case study. The first case study workshop took place during the Arctic Emergency Management Conference (AMEC) 2025, providing an ideal opportunity to initiate engagement with key stakeholders. While the Arctic Radioisotopes case study had previously focused on research aspects, this workshop marked the first structured engagement with operational and policy stakeholders." assertion.
- bc9d32d5-3bc6-4bb4-96a9-7e0ed67a7517 description "Short introduction of the Arctic Radioisotopes case study." assertion.
- CS1-example.ipynb description "Simple Jupyter notebook showcasing the access and usage of NorESM data for the Arctic Radioisotope Case Study." assertion.
- environment.yml description "Conda environment with the packages used for executing the jupyter notebook" assertion.
- a7d249d1-dbfb-43be-a4eb-9cbf9390d91e description "Biomedical publications analysis DMP describes how research data was collected, generated, shared and preserved in the context of the project, following FAIR data principles.<div><br></div><div>The main goal of this project is to collect biomedical publications, process them and fine tune NLP model on that data.</div>" assertion.
- 72c23431-f560-4f5f-bc25-e0462f1612c1 description "This dataset consists of collected biomedical publications in pdf format." assertion.
- 25b775f9-ab98-4a4d-b07b-4545ba5ca951 description "Volcanic and Seismic source Modelling (VSM) is an open source Python tool to model ground deformation detected by satellite and terrestrial geodetic techniques. The VSM tool allows the user to choose one or more geometrical sources as forward model among sphere, spheroid, ellipsoid, fault, and sill. It supports multiple datasets from most satellite and terrestrial geodetic techniques: interferometric SAR, GNSS, levelling, Electro-optical Distance Measuring, tiltmeters and strainmeters. Two sampling algorithms are available, one is a global optimization algorithm based on the Voronoi cells and the second follows a probabilistic approach to parameters estimation based on the Bayes theorem. VSM can be executed as Python script, in Jupyter Notebook environments or by its Graphical User Interface. Version 1.0 April 2022. For any inquires, please write to elisa.trasatti@ingv.it" assertion.
- 0396a8c4-d7ab-4703-8059-17fa970ec97a description "Data modelling related to the 2021 eruption at Nyiragongo volcano (DR Congo) using VSM" assertion.
- 53a7478f-cfd4-4e9b-bf87-ae9a6911325e description "Modelling of InSAR and GNSS data at Campi Flegrei by VSM" assertion.
- 601ccd90-02c5-4b36-9786-6fb13b6d391b description "License of use of VSM" assertion.
- 6347cc66-77ed-4303-af92-bd392d0e37e7 description "Application of VSM to the M7.1 Van Earthquake (Turkey) of 2011" assertion.
- 95943ba1-6560-4bc7-8250-ce7f8c91addd description "Tests of VSM in GitHub using InSAR and GNSS data at Campi Flegrei caldera (Italy)" assertion.
- b2ca3dbc-0cc9-495f-8ca5-db04f3bf5cd4 description "Modelling of the 2011-2012 unrest at Santorini (Greece)." assertion.
- b7e5d1f6-c141-491b-a5ac-e4763f432462 description "Link to the GitHub repository with the VSM code" assertion.
- bf3d5a76-1be0-4221-8ee0-b3cb40faf6f7 description "VSM code - Research Object" assertion.
- edit?usp=sharing&ouid=117642930190987755261&rtpof=true&sd=true description "Template (Doc) to be used for FAIR2Adapt deliverables." assertion.
- edit?usp=sharing&ouid=117642930190987755261&rtpof=true&sd=true description "Introduction to FAIR2Adapt. These slides can be reused by FAIR2Adapt project consortium members for their own presentations." assertion.
- edit?usp=sharing&ouid=117642930190987755261&rtpof=true&sd=true description "Template (pptx) for FAIR2Adapt presentations." assertion.
- 16dy7vKXIwWeZd7GNFd0bQEr4cSTX5SMy?usp=sharing description "Shared folder containing all our templates for the FAIR2Adapt Visual identify." assertion.
- 1g3bjUCoOeDQbEuiXpDpwqbXgiWt8K6-M?usp=sharing description "Shared folder (accessible only to consortium partners) containing the FAIR2Adapt logos." assertion.
- view?usp=sharing description "Presentations from the FAIR2Adapt kick-off meeting in Oslo, January 14-15 2025." assertion.