Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- fair2adapt description "Link to a nanopublication that details the FAIR2Adapt project and list all the nanopublications created and related to FAIR2Adapt." 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 3925 description "" assertion.
- 3925 description "" assertion.
- fsad087 description "Large-scale electronic tagging is a very powerful tool to study how fish movements and migrations shape the internal dynamics of populations. This knowledge, crucial for improving fishery management, was still limited for the European seabass, whose stocks in the Northeast Atlantic have declined drastically over the last decade. To better understand the species ecology and the spatio-temporal structure of the population, we tagged seabass in the North Sea, the English Channel, and the Bay of Biscay, from 2014 to 2016. Out of 1220 deployed DSTs, 482 have been recovered by November 2022. Approximately half of them included a period of potential spawning migration. Reconstructed trajectories confirmed seabass to be a partial migratory species, as individuals exhibited either long-distance migrations or residence. Most migrants exhibited fidelity to summer feeding areas and winter spawning areas. Our dataset enriches the knowledge of seabass biological traits (e.g. temperature and depth ranges, vulnerability to predation and fishing). Our results suggest a spatial structure of the Atlantic population that differs from the stock structure currently considered for assessment and management. The consequences should be explored at both the European level and by regional managers involved in conservation outcomes." assertion.
- 46796 description "Geo-referenced data plays a crucial role in understanding and conserving natural resources, particularly in studying biolog- ical processes such as fish migration. Biologging, which in- volves attaching small devices to animals to track their behav- ior and gather environmental data, is a valuable tool in this regard. However, tracking fish directly underwater remains challenging. To address this, models have been developed to geolocate fish by utilizing temperature and pressure data from biologging devices and comparing them with ocean tempera- ture and bathymetry models as reference data. When applying these models, the accuracy and resolution of the reference data has a significant impact on the quality of reconstructed fish trajectories. With recent advancements in earth observation technology and modeling techniques like digital twins, huge amounts of earth science datasets are avail- able. However, the large size and limited accessibility of these datasets, as well as the computational requirements for anal- ysis, present technical obstacles. The Pangeo ecosystem was created by a community of engineers and geoscientists specifically to address these challenges. Making use of these new tools and to leverage the advancements in biodiversity research, a software called pangeo-fish has been developed. This paper focuses on its development for studying the movement of the European sea bass (Dicentrarchus labrax)." assertion.
- 4ba5a56b-e756-499f-8efa-1c32d24fce4f description "# Description **Duration**: 6 months **Start date**: September 2024. **Partners**: Jean-Marc Delouis (CNRS/IFREMER), Tina Odaka (IFREMER), Anne Fouilloux (Simula), Quentin Mazouni (Simula) ## Context Biologing seeks to determine the most likely fish trajectory using tagging data that records only temperature and pressure. Understanding the routes of fish is crucial for various ecological reasons to enhance the protection of the species under study. While biologing has demonstrated effectiveness [de Pontual et al, 2023], there remains scope for further improvement. Specifically, in calculating the likeliest path, the pangeo-fish algorithm models the fish's movement capability using a normal distribution, indicating that there is no favoured direction. We suggest incorporating external data to refine our understanding of the fish's most likely movement, including bathymetric data, identification of the fish through behavioural biology insights (such as depth data at high frequency) or detailed sea surface temperature measurements, among others. ## Detailed work - Month 1 - Construct the input data sets: During the first month, efforts will focus on assembling an appropriate data set for research. The initial task involves analysing the available biological dataset from the existing 450 sets and applying unsupervised classification techniques (e.g., Scattering Transform) to categorise fish behaviours. In parallel, satellite data (Sea Surface Temperature) and ocean modelling systems such as Copernicus Marine must be identified and collected. - Months 2 to 4 - Estimate a new probable trajectory for fish: This phase involves the employing cutting-edge algorithms that use scale coupling statistics methods. This approach aims to achieve highly resolved (both spatially and temporally) data to predict the direction of fish movement. The feasibility of validating this novel method is supported by multiple observations of some fish within a few tracks. Thus, disregarding this existing data, we can assess the deviation of the fish paths predicted by these algorithms from observed locations. - Months 5 to 6 - Apply the algorithm to the 450 tags and evaluate the performances: in the final two months, apply the developed algorithm to the 450 tags and assess its efficacy. If the results are satisfactory, a scientific publication can be expected at the end of this period. ## Computing & storage infrastructure Cloud resources (storage & computing) are available for the entire duration of the project. These include 1) GFTS Jupyterhub (http://gfts.minrk.net) to conduct computation tasks like applying algorithms and constructing datasets. All the data, inclusive of tagging and satellite data, will be securely stored and managed via S3-compatible object storage to facilitate access and reuse during the project. Access to GFTS JupyterHub will be granted at the start of the project. 2) Destination Earth Services (https://platform.destine.eu/) to access environmental data like Ocean data (Sea Surface Temperature, Sea Water Potential Temperature on model levels, Surface Temperature and bathymetric data) from the Climate Adaptation Digital twin; Access to the Destination Earth Services require user registration at https://platform.destine.eu/ and is subject to their availability during the project (services are still under development and not available yet)." assertion.
- 41097 description "Numerous methods have been developed to geolocate fish from data storage tags. Whereas demersal species have been tracked using tide-driven geolocation models, pelagic species which undertake extensive migrations have been mainly tracked using light-based models. Here, we present a new HMM-based model that infers pelagic fish positions from the sole use of high-resolution temperature and depth histories. A key contribution of our framework lies in model parameter inference (diffusion coefficient and noise parameters with respect to the reference geophysical fields—satellite SST and temperatures derived from the MARS3D hydrodynamic model), which improves model robustness. As a case study, we consider long time series of data storage tags (DSTs) deployed on European sea bass for which individual migration tracks are reconstructed for the first time. We performed a sensitivity analysis on synthetic and real data in order to assess the robustness of the reconstructed tracks with respect to model parameters, chosen reference geophysical fields and the knowledge of fish recapture position. Model assumptions and future directions are discussed. Finally, our model opens new avenues for the reconstruction and analysis of migratory patterns of many other pelagic species in relatively contrasted geophysical environments" assertion.
- 9b361a58-e5ba-4683-a004-08a489be9df4 description "**Use Case topic**: The goal of this use case is the development and implementation of the Global Fish Tracking System (GFTS) to enhance understanding and management of wild fish stocks **Scale of the Use Case (Global/Regional/National)**: Local to Global (various locations worldwide) **Policy addressed**: Fisheries Management Policy **Data Sources used**: Climate Change Adaptation (Climate DT: Routine and On-Demand for some higher resolution tracking), Sea Temperature observation (Satelite, in-situ) Copernicus Marine services (Sea temperature and associated value), Bathymetry (Gebco), biologging fish data **Github Repository**: [https://github.com/destination-earth/DestinE_ESA_GFTS.git](https://github.com/destination-earth/DestinE_ESA_GFTS.git)" assertion.
- 688347b8-63b1-4541-a870-f60b1c72763b description "This folder contains presentations or other kind of materials (such as training material) developed and presented during events." assertion.
- 6dffb82f-c859-4cc0-8e3b-262d36ad03c5 description "This folder contains project documents such as DMP, link to website and github repository, etc." assertion.
- 03712afd-4b2b-4f26-8bda-72c16bb20013 description "FAIR Implementation Profile (FIP) for the GFTS project." assertion.
- 1736b174-0fac-4ffa-8236-75bb42868af9 description "Poster presented at the 8th InternationalBio-logging Science Symposium by Tina Odaka, March 2024." assertion.
- 1997c5cc-9799-4c11-a43b-08ea1440d62f description "This pitcure shows Tina Odaka presenting the Global Fish Tracking System (GFTS) DestinE DESP Use Case at the 8th International Bio-logging Science Symposium, Tokyo, Japan (4-8 March 2024)." assertion.
- 1a3335ef-a237-452d-9a54-ca42a0ec37f2 description "The Software Verification and Validation Plan for the Global fish Tracking System DestinE Use Case." assertion.
- 1a5f7ba3-49a1-44c7-8bb8-27328c70798c description "These webpages are rendered from GitHub repository and contain all the information about the GFTS project. This includes internal description of the use case, technical documentation, progress, presentations, etc." assertion.
- 29cb6ae5-bcdb-4b21-9970-0e607acee782 description "Deliverable 5.5 corresponding to the Global Fish tracking System Use Case Promotion Package" assertion.
- 321909b6-a061-4665-870a-7086bf29c202 description "The Software Verification and Validation Report from the Global Fish Tracking System DestinE Use Case." assertion.
- 36b626d9-fd5a-481f-980e-5ec25294e32a description "This report corresponds to the Software Reuse File for the GFTS DestinE Platform Use Case. New version will be uploaded regularly." assertion.
- 51ecf2f0-7e2d-4f76-ad38-e9ddbe8bbef2 description "Deliverable 5.2 - Use Case Descriptor for the Global fish Tracking System Use Case on the DestinE Platform." assertion.
- 5fdbfc33-4a49-4535-a0ae-8e6aaa2885a1 description "The Software Requirement Specifications for the Global fish Tracking System DestinE Use Case." assertion.
- 7d5d343e-97a5-4d1f-9239-988df72cd0bd description "JupyterHub on Destination Earth Data Lake" assertion.
- 8ab9efc3-2528-4558-b531-8590c4e1ffc1 description "Link to the Pangeo JupyterHub we are using for developing Pangeo Fish. Only users from GFTS can register and authenticate to this JupyterHub" assertion.
- 97f93dd4-b71f-4781-a664-219aa1efa9d2 description "The Gobal Fish track system Use case Application on the DestinE Platform" assertion.
- a91b2c91-dcbb-44e3-bf5e-f70c642b4dfa description "Slides presented by Mathieu Woillez at the Roadshow Webinar: DestinE in action – meet the first DESP use cases (13 December 2023)" assertion.
- bb0050be-cb5c-4d55-95be-064e1ba2cc19 description "The Software Release Plan for the Global Fish Tracking System DestinE Use Case." assertion.
- bffd0f8c-9aad-4274-a60d-ba84b79c743a description "Project Management Plan for the Global fish Tracking System Use Case on the DestinE Platform." assertion.
- f13cbffd-ce00-4be1-829c-834750a2894c description "Link to the official GFTS DESP use case." assertion.
- notebook.html description "Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- c9df67a3-0d77-4029-8556-e62fcc95a35b description "The research object refers to the Sea ice forecasting using the IceNet library notebook published in the Environmental Data Science book." assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- s41467-021-25257-4 description "Related publication of the modelling presented in the Jupyter notebook" assertion.
- zenodo.12612126 description "Contains outputs, (results), generated in the Jupyter notebook of Sea ice forecasting using the IceNet library" assertion.
- notebook.ipynb description "Jupyter Notebook hosted by the Environmental Data Science Book" assertion.
- environment.yml description "Conda environment when user want to have the same libraries installed without concerns of package versions" assertion.
- conda-lock.yml description "Lock conda file of the Jupyter notebook hosted by the Environmental Data Science Book" assertion.
- icenet description "Contains input Codebase of the IceNet library used in the Jupyter notebook of Sea ice forecasting using the IceNet library" assertion.
- 9293f0f7-aad2-422f-ad6f-dfa4c87f5bd2 description "DDD" assertion.
- egusphere-egu24-3441 description "Abstract corresponding to the talk at EGU 2024." assertion.
- e2e015af-b02c-45c4-ae8a-f74271a813f0 description "In this presentation, we will share firsthand experiences and insights gained from navigating the EOSC (European Open Science Cloud), offering a glimpse into how EOSC influences our day-to-day work and how it has become an invaluable ally for our team. We belong to the Nordic e-Infrastructure Collaboration on Earth System Modeling Tools (NICEST), a small community composed of researchers, Research Software Engineers (RSEs), and engineers from Norway, Sweden, Finland, Denmark, and Estonia, working in different organisations such as national meteorological services, national compute/storage infrastructure providers and support services, universities and other research institutes either working directly on climate or supporting related activities. The NICEST community strengthens the Nordic position in climate modelling by addressing e-infra challenges, leveraging Earth System Models (ESMs) to understand climate processes, adapt to global change, and mitigate impacts. Our presentation extends beyond the technical aspects, offering a narrative of collaborative discovery that illustrates how EOSC has transformed into an indispensable companion, enabling our team to embody the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) and open science. Throughout the session, we will highlight the operational intricacies of frameworks like EOSC, emphasising our nuanced approach to leveraging these frameworks for maximum impact. This personal narrative is not just about success stories; it explores the challenges we've faced and the lessons we've learned. We place a special emphasis on our evolving understanding of effectively exploiting specific EOSC services, transforming it into more than just infrastructure but a trusted friend in our professional lives. As we reflect on our collaborative journey, we'll share stories of triumphs, challenges, and the unique bond that has developed between our team and those contributing to EOSC's development. We'll explain how we've moved from being mere users to active contributors, contributing to the deployment of our own services to serve our community. Today, our aim is to actively participate in the construction of EOSC, demonstrating that through collaboration and co-design, we can significantly contribute to its ongoing evolution. This collaboration becomes truly effective when each actor recognizes the value of others, enabling us to pool efforts and enhance efficiency together." assertion.
- a0355564-8fc4-4be4-8e96-32d30e589b14 description "Oral presentation given at EGU DOI: [10.5194/egusphere-egu24-3441](https://doi.org/10.5194/egusphere-egu24-3441)" assertion.
- a57b6bcf-b4da-4dc3-b76e-5fed2bd180b5 description "This Research Object corresponds to the work done by Vanessa Stoeckl, and presented as a poster at EGU 2024, ESSI 2.9 "Seamless transitioning between HPC and cloud in support of Earth Observation, Earth Modeling and community-driven Geoscience approach PANGEO". - Abstract submitted and accepted at EGU: [https://doi.org/10.5194/egusphere-egu24-8343](https://doi.org/10.5194/egusphere-egu24-8343) - [Rendered Jupyter notebook](https://edsbook.org/notebooks/gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/notebook) - [Galaxy workflow showcasing the pipeline for forecasting sea ice](https://usegalaxy.eu/u/vstoeckl/w/icenet)" assertion.
- 0ad18b1b-594f-4b8a-937e-eff3460be9dd description "Poster EGU 2024 (pdf) Implementation of a reproducible pipeline for producing seasonal Arctic sea ice forecasts" assertion.
