Nanopublications LDF server

Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }

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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.
• 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.
• 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.
• 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.
• fair2adapt description "Link to a nanopublication that details the FAIR2Adapt project and list all the nanopublications created and related to FAIR2Adapt." assertion.
• 2a889d82-5b8c-48c2-820b-e8da468d64bf description "Research Object gathering all information about the case study about extending weADAPT and the Climate Connectivity Hub." assertion.
• 41ecf8b8-ad47-4534-8880-aed9e9759d61 description "It points to a Research Object gathering all the documents and links that are internal to the consortium." assertion.
• 5954ce8e-2bbc-469a-b5ba-0d4d1e93195f description "Research Object containing or linking to the Data Management Plan Questionnaire and the deliverable D1.2 and FIPs." assertion.
• b60db721-7a5f-4f82-a7fa-6b2b587a4119 description "Research Object gathering all information about the Case Study of the City of Hamburg." assertion.
• c8bd3371-151b-4650-9cb5-a64e40adf506 description "## Objective The FAIR2Adapt is a multidisciplinary project geared towards transforming data into actionable knowledge to shape climate adaptation strategies. By leveraging and collaborating with EOSC, we fully tap into the EOSC's wide range of services, the FAIR Implementation Framework Catalogue of Resources, and align with the EOSC interoperability framework. We adopt FAIR Digital Objects (FDOs) by using RO-Crate and nanopublications as key implementation tools. We use semantic bridging strategies, such as the I-ADOPT framework, and tailored FDO services to build a collaborative, user-friendly FAIR and open data sharing framework. Rich case studies will co-develop FAIR Supporting Resources in alignment with the FAIRification framework and demonstrate the impact of FAIR and open data sharing on climate change adaptation, and strategically support the EU Mission’s objective of enhancing climate resilience in European regions and communities. Through transfer cases and collaboration with other initiatives, FAIR2Adapt extends its reach to additional contexts, showcasing its scalability, sustainability and applicability beyond the project’s completion. A significant aspect of the FAIR2Adapt project is stakeholder engagement and capacity-building activities, which will be instrumental in raising awareness and devising customised solutions. By transforming data into flexible, practical, and resilient climate adaptation strategies, FAIR2Adapt constructs a scalable and extensible model for data sharing that can be adapted to multiple climate adaptation scenarios. The impact of FAIR2Adapt will span across scientific advancement, economic resilience, social-environmental wellbeing, and responsive policy development, fostering multidisciplinary cooperation, enhancing trust in science, and stimulating a climate-smart economy. Ultimately, FAIR2Adapt intends to build a more resilient, inclusive and knowledge-based society capable of efficiently tackling the challenges of climate change." assertion.
• b622e76a-d3ec-48f4-985c-1ca5e1e68318 description "This folder contains information about the FAIR2Adapt Case Studies" assertion.
• ea15c5d0-eba3-4711-ac8a-cd28f46c5273 description "Folder containing the FAIR2Adapt Project Deliverables." assertion.
• ebc45cf8-9658-4cdd-93a5-0be5d451df73 description "Folder with all the events we contributed/participated during the FAIR2Adapt project." assertion.
• f1f9f1b9-d73c-42af-b13e-8e9ea415bda8 description "Folder containing files related to the FAIR2Adapt Visual Identify (logos, colors, etc.)" assertion.
• fd3fcc3c-cbac-411f-82f6-65b458f4f595 description "Folder containing the FAIR2Adapt meetings (agenda, minutes, etc.)" assertion.
• ea3ac578-ab0a-47c8-a10a-9d06678a9450 description "Research Object containing information about the RiOMar Case Study of the FAIR2Adapt project." assertion.
• zenodo.15130761 description "This document serves as the project management handbook for the FAIR2Adapt project. It provides essential information for the effective coordination and execution of the project, including an introduction to FAIR2Adapt, its objectives, and the rationale behind its approach." assertion.
• FAIR2Adapt_ColourPos_Vertical.png description "The FAIR2Adapt logo" assertion.
• Agenda%20Kick-off%20Fair2Adapt.pdf description "This document contains the agenda of the FAIR2Adapt kick-off meeting." assertion.
• Minutes-FAIR2Adapt-kick-off.pdf description "Minutes from the FAIR2Adapt Kick-Off Meeting" assertion.
• 15337227 description "Presentation given at EGU'25 at the Session ITS3.11/ERE6.3 entitled "Advancing Environmental Science through Integrated Research Infrastructures"." assertion.
• 101188256 description "This is the link to the FAIR2Adapt Fact Sheet from the cordis website. ## Fact Sheet about FAIR2Adapt The FAIR2Adapt is a multidisciplinary project geared towards transforming data into actionable knowledge to shape climate adaptation strategies. By leveraging and collaborating with EOSC, we fully tap into the EOSC's wide range of services, the FAIR Implementation Framework Catalogue of Resources, and align with the EOSC interoperability framework. We adopt FAIR Digital Objects (FDOs) by using RO-Crate and nanopublications as key implementation tools. We use semantic bridging strategies, such as the I-ADOPT framework, and tailored FDO services to build a collaborative, user-friendly FAIR and open data sharing framework. Rich case studies will co-develop FAIR Supporting Resources in alignment with the FAIRification framework and demonstrate the impact of FAIR and open data sharing on climate change adaptation, and strategically support the EU Mission’s objective of enhancing climate resilience in European regions and communities. Through transfer cases and collaboration with other initiatives, FAIR2Adapt extends its reach to additional contexts, showcasing its scalability, sustainability and applicability beyond the project’s completion. A significant aspect of the FAIR2Adapt project is stakeholder engagement and capacity-building activities, which will be instrumental in raising awareness and devising customised solutions. By transforming data into flexible, practical, and resilient climate adaptation strategies, FAIR2Adapt constructs a scalable and extensible model for data sharing that can be adapted to multiple climate adaptation scenarios. The impact of FAIR2Adapt will span across scientific advancement, economic resilience, social-environmental wellbeing, and responsive policy development, fostering multidisciplinary cooperation, enhancing trust in science, and stimulating a climate-smart economy. Ultimately, FAIR2Adapt intends to build a more resilient, inclusive and knowledge-based society capable of efficiently tackling the challenges of climate change." assertion.
• Hack4RiOMAR description "Webpages explaining the Hack4RiOMar event, which corresponds to the first FAIR2Adapt case study workshop for RiOMar." assertion.
• iCDZh61h388 description "From groundbreaking medical advances to quantum computing, scientific breakthroughs impact our everyday lives. Despite the tremendous advancements made by science, we rely on antiquated methods to formally communicate this knowledge. Since the first scientific article published in 1665, we have managed the switch from physically printed articles to PDFs, but nothing more. Reborn articles offer a new open-source approach to producing scientific knowledge in a machine-readable format from the outset. This means subsequent data users can download the results of a reborn article as a CSV file with just a click of a button, bypassing post-publication data extraction. In this webinar, two early career marine biologists explain how they used this approach to amplify the impact of their research, and how you can apply it to yours." assertion.
• RIOMAR-2024-2030 description "# The French Project RIOMar (River-dominated Ocean Margins) The French project **RIOMar** (River-dominated Ocean Margins), a winner of the *"Ocean & Climate" Priority Research Program*, focuses on an in-depth study of the environment in five major coastal areas of mainland France influenced by rivers. Its objective is to provide scientifically grounded solutions to maintain or restore sustainable ecosystems in regions particularly affected by climate change and anthropogenic inputs transported and deposited by rivers. --- ## Scientifically Grounded Solutions to Mitigate Risks to Vulnerable Coastal Ecosystems Coastal areas are crucial for humanity, especially those dominated by rivers flowing into the ocean. Their future evolution poses a significant challenge, as it is estimated that **80% of the global population will live within 40 kilometers of the coast by 2030**. At the intersection of land and sea, **estuaries, lagoons, and deltas** experience daily interactions between freshwater and marine waters. The major estuaries of France (*Seine, Loire, and Gironde*) and the Rhône delta are just a few examples of these "transitional" environments along the French coastline. Currently, the **885 coastal municipalities of mainland France** account for over **10% of the population**. According to recent estimates (*source: Ministry of Ecological Transition*), an additional **4.5 million inhabitants** are expected to settle in these regions by 2040. In such conditions, the **coastal ocean environment** in these areas will become increasingly vulnerable to various combined human and climate-induced stressors: - Warming - Acidification - Eutrophication* - Hypoxia* - Contamination - Extreme events Simulating their evolution under the combined influence of **anthropogenic pressure and climate change** is a major challenge. The number of unknown and often unpredictable parameters is considerable. Addressing this requires a **comprehensive approach**, grounded in the **multidisciplinary analysis** of the numerous environmental factors affecting these coastal zones. The knowledge generated will enable the **co-construction of scientifically based solutions** with environmental managers for the **sustainable development** of coastal areas. --- ## An Original, Multidisciplinary, and Innovative Integrated Approach Spanning **six years (2022-2028)**, the RIOMar (*River-dominated Ocean Margins*) project aims to tackle all these challenges. Scientific studies within the project focus on five major coastal areas in mainland France influenced by large rivers: - The Seine - The Loire - The Gironde - The Rhône - The Charente Various scenarios for future evolution will be explored in collaboration with numerous stakeholders from these regions. **Relevant indicators** will be developed, in consultation with environmental managers, to propose **tailored and sustainable solutions** for public policies. --- ### Glossary - **Eutrophication**: The excessive enrichment of water with nutrients, leading to algal blooms and oxygen depletion. - **Hypoxia**: Low oxygen levels in water, threatening aquatic life." assertion.
• visualize-riomar.html description "This is the rendered Jupyter notebook to Visualize RiOMAR dggs-transformed data with xddgs and lonboard" assertion.
• a0007726-0f5b-4ccb-a160-f350d669805e description "## RiOMar Case Study This [FAIR2Adapt](http://fair2adapt-eosc.eu) case study is led by IFREMER and builds on the outcomes of the RiOMar Project - Coastal Water Quality Anticipation to manage coastal zone ecosystem responses for biodiversity conservation. The RiOMar project’s data is high-resolution and complex to manipulate. To effectively support climate adaptation strategies and plans, it is crucial to maintain the high-resolution quality while enabling efficient data fusion with diverse datasets. ## Event The Hack4RiOMar workathon brought together six motivated participants in person, collaborating to advance the FAIR2Adapt RiOMar Case Study—the first workshop in our series of FAIR2Adapt case studies. We extend our gratitude 👏 to the external experts who participated at their own expense, bringing their expertise to tackle challenges and drive progress. ## Funding FAIR2Adapt project (101188256) is funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Agency. Neither the European Union nor the granting authority can be held responsible for them." assertion.
• 561c6d89-9cff-4033-af0e-e474ef0f1070 description "Agenda and minutes from the first workshop for the Biscayan RiOMar Case Study (Hack4RiOMar event)." assertion.
• isprs-archives-XLVIII-4-W12-2024-75-2024 description "## Abstract Traditional map projections introduce distortions, especially for global data. Discrete Global Grid Systems (DGGS) offer an alternative by dividing the Earth into equal-area grid cells at different resolutions. This paper describes xdggs, a new Xarray extension that simplifies working with DGGS. Xdggs provides a unified API for various DGGS libraries and integrates seamlessly with the Pangeo ecosystem through extending the widely used Xarray library to use the DGGS-specific cell identifiers as an index. This development makes DGGS more accessible and will lead to facilitating data analysis on a planetary scale. Xdggs aims to provide a user-friendly API that hides the implementation complexities of different DGGS libraries. And because it integrates seamlessly with Xarray, a popular tool for geospatial data analysis, xdggs promotes FAIR data practices by simplifying data access and interoperability and can become a valuable tool for geospatial scientists and application developers working with global datasets. ## How to cite Kmoch, A., Bovy, B., Magin, J., Abernathey, R., Coca-Castro, A., Strobl, P., Fouilloux, A., Loos, D., Uuemaa, E., Chan, W. T., Delouis, J.-M., and Odaka, T.: XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W12-2024, 75–80, https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024, 2024." assertion.
• requirements.txt description "Python requirements.txt for running the Jupyter Notebooks." assertion.
• Riomar_RO.ipynb description "In this notebook, we will learn how to create a simple RO-Crate from the RiOMar data. We will then identify any missing metadata that needs to be added to the original dataset’s metadata." assertion.
• pangeo-riomar.ipynb description "The goal is to regrid a sample of RiOMar data into DGGS (Healpix)." assertion.
• pangeo-riomar_resize_datarmor.ipynb description "The goal is to create a smaller RiOMar dataset to test regridding to Healpix on Pangeo EOSC." assertion.
• riomar_plots-datatree_multiresoplot.ipynb description "The use of multiscale Zarr in combination with the Discrete Global Grid System (DGGS) for Earth Observation aims to enhance the efficiency and scalability of storing, accessing, and analyzing large geospatial datasets. Multiscale Zarr allows for efficient compression and chunking of data, enabling rapid access to high-resolution imagery and other spatial datasets. When integrated with DGGS, which provides a hierarchical, cell-based representation of the Earth’s surface, this approach facilitates seamless multi-resolution analysis, improves interoperability, and supports advanced geospatial processing and visualization, ultimately enabling more effective monitoring and understanding of environmental changes." assertion.
• virtualizarr_riomar_kerchunk.ipynb description "The goal is to create a virtualzarr for all RiOMar data using Kerchunk (since Icechunk does not work at the moment on Pangeo-EOSC or for data on datamor (https access)." assertion.
• visualize-riomar..ipynb description "## Purpose The goal is to visualize the DGGS transformed RiOMar data with xdggs and lonboard. ## Description In this notebook, we will: - Open DGGS RiOMar dataset - Visualize it using a colorblind-friendly colormap" assertion.
• Riomar_RO.html description "This is a rendered Jupyter notebook showing how to create a RO-Crate (using the Python API rocrate) for archiving the RiOMar dataset into the NIRD archive. The metadata used for the creation of the RO-Crate correspond to what is needed when archiving in the NIRD archive (Norwegian Research Data Archive)." assertion.
• pangeo-riomar.html description "This is the rendered Jupyter notebook showing how to regrid a sample of RiOMar data into DGGS (Healpix)." assertion.
• pangeo-riomar_resize_datarmor.html description "Read a netCDF original dataset from RiOMar and select a few timestep to save it in Zarr. This is the rendered Jupyter nobteook." assertion.
• riomar_plots-datatree_multiresoplot.html description "This is the rendered Jupyter Notebook that uses Datatree (Xarray) to examplify how to create a multi-resolution dataset with DGGS (different resolution)." assertion.
• virtualizarr_riomar_kerchunk.html description "This is the rendered Jupyter notebook that shows how to use Virtualizarr with Kerchunk to create a RiOMar datasets with all the necessary files required for a full RiOMar data analysis." assertion.
• RiOMar2DGGS.png description "This image shows how a RiOMar dataset can be visualized with xdggs (that uses lonboard)." assertion.
• croco_grd.nc description "This is the grid of the Croco model used to generate RiOMar data." assertion.
• GAMAR_1h_inst_Y2006M01.nc description "Raw RiOMar dataset generated by the Croco RiOMar numerical model. It corresponds to one month of simulation (January 2006)." assertion.
• small.zarr description "Small Zarr file generated from the original RiOMar data by selecting a few timestep to reduce the total size and make it easier to write Jupyter notebook examplifying the transformation from the original grid to DGGS Healpix grid." assertion.
• small_healpix.zarr description "A sample dataset in DGGS Level 12 Healpix" assertion.
• small_healpix_13.zarr description "A sample dataset in DGGS Level 13 Healpix" assertion.
• small_healpix_14.zarr description "A sample dataset in DGGS Level 14 Healpix" assertion.
• 9ed8167f-1789-4eb4-ba9e-3a74f25c53e8 description "This study tested whether human body orientation can influence the behavior of bull sharks by examining sharks’ approach distances from a person positioned vertically or horizontally in the water. Results showed that bull sharks, Carcharhinus leucas, kept a significantly greater distance when the test subject was standing in chest-deep water with his head above water versus lying on the ocean floor. Furthermore, larger bull sharks in the immediate area withdrew when the subject entered the water" assertion.
• 4810 description "" assertion.
• 1514325d-4838-4b09-a7a4-4b37167f8583 description "This is test of DMP creation." assertion.
• 226e3b85-3dd9-4e57-aff9-24957b346fe3 description "Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Etiam eleifend suscipit erat sed vulputate. Nulla scelerisque accumsan nulla sed congue. Quisque tempus ante et ligula aliquam elementum. Aliquam consequat varius mi sit amet rhoncus. Aenean in cursus mauris. Aenean consequat erat nisl. Vivamus scelerisque fermentum fermentum. Duis dignissim pellentesque odio, eget tincidunt diam aliquam lacinia. Pellentesque ut purus pharetra, porttitor mi vitae, pulvinar est. Pellentesque mollis nibh tristique tincidunt imperdiet. Nunc pharetra porta tincidunt. Integer consectetur lectus nec quam dictum, et interdum ligula aliquet. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Sed a accumsan turpis. Praesent rutrum fermentum nibh." assertion.
• dc0b871b-7a72-47c0-b20e-aa3e0d7a48c0 description "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras vitae erat nec nisi molestie molestie vitae ut nulla. Nullam volutpat, augue eu pellentesque tempus, turpis arcu ultrices lectus, aliquet facilisis nunc est sit amet sem. Quisque id dapibus justo, ac tristique nisl. Integer ac enim viverra, lobortis neque nec, accumsan sapien. Aliquam in arcu sit amet ex placerat blandit. Aliquam a posuere odio. Donec vitae lacinia purus." assertion.
• eeb60bbb-2623-4cb0-949b-772cce4b7bf8 description "Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Etiam eleifend suscipit erat sed vulputate. Nulla scelerisque accumsan nulla sed congue. Quisque tempus ante et ligula aliquam elementum. Aliquam consequat varius mi sit amet rhoncus. Aenean in cursus mauris. Aenean consequat erat nisl. Vivamus scelerisque fermentum fermentum. Duis dignissim pellentesque odio, eget tincidunt diam aliquam lacinia. Pellentesque ut purus pharetra, porttitor mi vitae, pulvinar est. Pellentesque mollis nibh tristique tincidunt imperdiet. Nunc pharetra porta tincidunt. Integer consectetur lectus nec quam dictum, et interdum ligula aliquet. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Sed a accumsan turpis. Praesent rutrum fermentum nibh." assertion.
• 3925 description "" assertion.
• 3925 description "" assertion.
• 3925 description "" assertion.
• 3925 description "" assertion.

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