This is the first release of pan-EU predictions of soil health indicators (the Soil Health Data Cube). Use for testing purposes only. A publication describing methods used has been submitted to PeerJ and is in review. 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 European Commision. Neither the European Union nor the granting authority can be held responsible for them. The data is provided \"as is\". AI4SoilHealth project consortium and its suppliers and licensors hereby disclaim all warranties of any kind, express or implied, including, without limitation, the warranties of merchantability, fitness for a particular purpose and non-infringement. Neither AI4SoilHealth project Consortium nor its suppliers and licensors, makes any warranty that the Website will be error free or that access thereto will be continuous or uninterrupted. You understand that you download from, or otherwise obtain content or services through, the Website at your own discretion and risk.
\n\nThis dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. The dataset spans four depth ranges and multiple time periods, providing information for studies on soil organic carbon stock and dynamics.
\n\n\nThis dataset is part of the Spatiotemporal prediction of soil organic carbon density for Europe (2000-2022) in 3D+T dataset. Check the related identifiers section below to access other parts of the dataset.
\n\nThis data set includes:
\n\nIf you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)
\n\nTo ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:
\n\nTo submit a dataset or software to the community please refer to the Data Management Plan instructions.
", "description": "AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory. Start date 1 January 2023; end date: 31 December 2026.", "funding": [ { "award": { "id": "00k4n6c32::101086179" }, "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "edmo:5580" }, { "name": "OpenGeoHub" } ], "page": "The EU-funded AI4SoilHealth project (Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory) will co-design, create and maintain an open access Europe-wide digital infrastructure founded on advanced AI methods combined with new and deep soil health understanding and measures. The AI-based data infrastructure will evolve a Soil Digital Twin. The project will deliver a coherent Soil Health Index methodology, Rapid Soil Health Assessment Toolbox, AI4SoilHealth Data Cube for Europe, Soil-Health-Soil-Degradation-Monitor, and AI4SoilHealth API and mobile phone app. AI4SoilHealth will test the tools, collecting feedback from target users.
\n\nKey deliverables include: 1) Coherent Soil Health Index methodology, 2) Rapid Soil Health Assessment Toolbox, 3) AI4SoilHealth Data Cube for Europe, 4) Soil-Health-Soil-Degradation-Monitor, and 5) AI4SoilHealth API and Mobile phone App. Produced tools will be exposed to target-users (including farmer associations in >10 countries), so their feedback is used to improve design/functionality. Produced high-resolution pan-European datasets will be distributed under an Open Data license, allowing easy access by development communities. AI4SoilHealth will provide an effective Soil Health Index certification system to support landowners and policy makers under the new Green Deal for Europe.
\n\nFor more info see: https://cordis.europa.eu/project/id/101086179
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\nThe community is managed by CERN on behalf of the European Commission.
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", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.", "funding": [ { "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101256740 (HORIZON-ZEN Plus). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
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