{"type": "FeatureCollection", "features": [{"id": "10.1016/j.dib.2024.111226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:16:10Z", "type": "Journal Article", "created": "2024-12-11", "title": "A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC methodologies and meta-analyses", "description": "Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. These practices exhibit complex, non-linear interrelationships that affect crop productivity, water quality, and non-carbon dioxide greenhouse gases (GHG) emissions, possibly offsetting their benefits regarding soil organic carbon (SOC) sequestration. Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) for assessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients. However, these methods often do not explicitly account for the combined effects of management practices on carbon and nitrogen cycles or productivity, as this is not required for national GHG inventories. Here we present a new dataset featuring 1.8 Mln of agronomic case scenarios, i.e., unique combinations of farming practices and pedoclimatic conditions, which have been associated with values of SOC changes, nitrous oxide emissions, nitrate-nitrogen leaching, and crop yield. To synthesize trade-offs and synergies between farming practices, each case scenario has been ranked with a \u2211ommit index (\u2211i) value, a fuzzy-based measure ranging from 0 (bad) to 1 (good). The four trade-off components have been estimated by combining available information from i) the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, ii) the guidelines for Green Water Footprint Accounting, iii) the Italian National Institute of Statistics, iv) and other international meta-analytic studies. The dataset presents four \u2211i series, corresponding to alternative perceptions of sustainability from three potential stakeholder categories (young farmers\u2019 cooperative, agrochemical company, public agricultural policy agency) plus one equally weighted option. By providing a harmonized data source and an innovative metric, this dataset allows users to explore trade-offs associated with alternative management practices across four key agricultural components and assess their impact on perceived agroecosystem sustainability.", "keywords": ["Soil management", "Crop choice", "Q1-390", "Science (General)", "Computer applications to medicine. Medical informatics", "Farming sustainability", "R858-859.7", "Organic matter inputs", "Greenhouse gases emissions", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2024.111226"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2024.111226", "name": "item", "description": "10.1016/j.dib.2024.111226", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2024.111226"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2025.111585", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:16:10Z", "type": "Journal Article", "created": "2025-05-01", "title": "Dataset on physico-chemical characteristics of Exogenous Organic Matters (EOMs) gathered from various European countries", "description": "Many activities generate organic wastes, including urban activities (e.g., biowaste, sewage sludge), industry (e.g. vinasse) and agriculture (e.g., livestock manure, crop residues). Exogenous Organic Matters (EOMs) are secondary raw materials, i.e., wastes and residues from agriculture, municipalities or industry, which are either used as such or further processed with different technologies. The large variability in the raw materials and production technologies increases the diversity of EOM characteristics, which in turn affect their efficacy when applied to soils. The datapaper presents the database \u201cPhysico-chemical characteristics of Exogenous Organic Matters (EOMs)\u201d which is available in the Zenodo repository (https://doi.org/10.5281/zenodo.13969793). The database is a non-relational database in column format established in the framework of the EJP SOIL EOM4SOIL project, which aimed at establishing a database on EOM\u2019s characteristics. The database gathered EOM characteristics collected in national databases and surveys from 6 European countries, and completed by data published in scientific articles. It describes physico-chemical characteristics of 126 types of EOMs encompassing urban, industrial and agricultural origins (e.g. urine, biowastes, sewage sludge, farmyard manures) and 91 characteristics (e.g. major elements, trace metals, emerging organic contaminants, pathogens, potentially mineralised C and N). There is an average of about 20 variables collected per type of EOM. Preliminary description of the EOM characteristics database is proposed in the present datapaper using descriptive statistics. The characteristics of the 126 types of EOMs provide valuable insights that can help farmers, policymakers, and agricultural consultants to optimize the use of these materials in fertilization and soil amendment practices. This knowledge is essential for better management of EOM application practices by the farmers in order to increase soil carbon stocks and reduce the reliance on mineral fertilizers.", "keywords": ["[SDE] Environmental Sciences", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Science (General)", "Computer applications to medicine. Medical informatics", "Digestate", "R858-859.7", "Compost", "Urine", "Sludge Urine", "Sludge", "Biochar", "Livestock manure", "Q1-390", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Composition", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2025.111585"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2025.111585", "name": "item", "description": "10.1016/j.dib.2025.111585", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2025.111585"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2022.108226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:16:10Z", "type": "Journal Article", "created": "2022-04-29", "title": "Provision of metadata of European agricultural long-term experiments through BonaRes and EJP SOIL collaboration", "description": "Agricultural Long-Term Experiments (LTEs) are crucial agricultural research infrastructures for monitoring the long term effects of management and environment on crop production and soil resources. We have compiled the meta-information of 616 LTEs from 30 different countries across Europe with a duration of typically 20 years, including clustered information of the European LTEs in different categories (management operations, land use, duration, status, etc.). It consists of the updated version of the dataset published by Grosse et\u00a0al., (2020) but is extended by further LTE metadata, categories and research themes. Each set of metadata consists of up to 49 different attributes (categorical or numeric). Collected attributes were analyzed according to several research themes, including fertilization, crop rotation and tillage treatments. The collection of individual metadata was enlarged by the recent agreement between the BonaRes (www.bonares.de) and EJP SOIL (www.ejpsoil.eu) groups into the most comprehensive dataset in Europe, providing access to LTE and other, shorter running experiments. This dataset centralized past and existing information usually dispersed across several national actors. As such, it provides an extensive database that can be used by decision-makers, scientists, LTE owners and the public. The dataset can be updated in the future to foster networking and information exchange continuously.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "2. Zero hunger", "0301 basic medicine", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "EJP SOIL", "Science (General)", "BonaRes", "Computer applications to medicine. Medical informatics", "R858-859.7", "Agriculture", "04 agricultural and veterinary sciences", "FAIR data principles", "15. Life on land", "630", "Europe", "LTE", "Q1-390", "03 medical and health sciences", "BonaRes ; Long-term experiments ; EJP SOIL ; FAIR data principles ; LTE ; Agriculture ; Europe", "13. Climate action", "Long-term experiments", "0401 agriculture", " forestry", " and fisheries", "BonaRe", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2022.108226"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2022.108226", "name": "item", "description": "10.1016/j.dib.2022.108226", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2022.108226"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2024.111021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:16:10Z", "type": "Journal Article", "created": "2024-10-16", "title": "Data on the profile of organic contaminants in the L'Albufera Natural Park (2019\u20132020). Target and non-target screening", "description": "This article presents a dataset on 71 pesticide levels and the identification of additional synthetic organic chemicals, including pharmaceuticals and industrial compounds, in L'Albufera Natural Park (Valencia, Spain). Sampling was conducted during May-June (spring) and end of September-October (autumn) 2019, timed to the rice cultivation cycle, the region's main agricultural activity. A total of 130 samples (100 water and 30 sediments) were collected from 51 strategically selected sites, including rivers, irrigation channels, Albufera Lake, and Mediterranean outlets, utilizing a combination of targeted and non-targeted screening (NTS) methods. The dataset encompasses physical-chemical parameters for both spring and autumn seasons. Advanced analytical techniques, such as high-resolution mass spectrometry (HRMS), were employed to detect contaminants beyond traditional methods, providing critical insights for environmental management and policy development. The findings contribute to addressing gaps in knowledge regarding contaminants of emerging concern (CECs) and their distribution across different environmental compartments. These data supplement the findings of the research article 'Fingerprinting of Emerging Contaminants in L'Albufera Natural Park (Valencia, Spain): Implications for Wetland Ecosystem Health'.", "keywords": ["01 natural sciences", "Data Article", "0104 chemical sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2024.111021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2024.111021", "name": "item", "description": "10.1016/j.dib.2024.111021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2024.111021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2024.111064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:16:10Z", "type": "Journal Article", "created": "2024-10-24", "title": "Drivers of soil health across European Union \u2013 Data from the literature review", "description": "Soil health in Europe has reached a critical point: it is estimated that 60-70% of European soils are unhealthy. Changes in land use, its intensity and the quality of management have significant impacts on soil health and soil related ecosystem services. A systems analysis of soil health dynamics requires an understanding of the drivers inducing changes in land use and management. The DPSIR framework was adapted to the context of soil health in the European Union (EU) and used as an analytical framework for identifying the drivers for soil health. A scoping literature review, divided in four parts based on different land use types (urban and industrial, agriculture, forest, and nature), was conducted using the PRISMA protocol. The identified drivers across all land uses have been adjusted and standardised in in-person and online workshops. This metadata set presents the typology of drivers sorted according to the EU soil mission's soil health objectives, land use type, and location. The literature review was conducted as part of SOLO (Soils for Europe), a EU\u00b4s Horizon Europe funded project and the dataset will support the co creation and knowledge developing platforms (think tanks) for each EU soil mission objectives.", "keywords": ["meta-analysis", "EU soil mission", "330", "EU soil mission ; Soil health objectives ; Land use ; Meta-analysis ; DPSIR", "DPSIR", "land use", "soil health objectives", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2024.111064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2024.111064", "name": "item", "description": "10.1016/j.dib.2024.111064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2024.111064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "PMC11539726", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:28:22Z", "type": "Journal Article", "created": "2024-10-16", "title": "Data on the profile of organic contaminants in the L'Albufera Natural Park (2019\u20132020). Target and non-target screening", "description": "This article presents a dataset on 71 pesticide levels and the identification of additional synthetic organic chemicals, including pharmaceuticals and industrial compounds, in L'Albufera Natural Park (Valencia, Spain). Sampling was conducted during May-June (spring) and end of September-October (autumn) 2019, timed to the rice cultivation cycle, the region's main agricultural activity. A total of 130 samples (100 water and 30 sediments) were collected from 51 strategically selected sites, including rivers, irrigation channels, Albufera Lake, and Mediterranean outlets, utilizing a combination of targeted and non-targeted screening (NTS) methods. The dataset encompasses physical-chemical parameters for both spring and autumn seasons. Advanced analytical techniques, such as high-resolution mass spectrometry (HRMS), were employed to detect contaminants beyond traditional methods, providing critical insights for environmental management and policy development. The findings contribute to addressing gaps in knowledge regarding contaminants of emerging concern (CECs) and their distribution across different environmental compartments. These data supplement the findings of the research article 'Fingerprinting of Emerging Contaminants in L'Albufera Natural Park (Valencia, Spain): Implications for Wetland Ecosystem Health'.", "keywords": ["01 natural sciences", "Data Article", "0104 chemical sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/PMC11539726"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC11539726", "name": "item", "description": "PMC11539726", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC11539726"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "PMC11617959", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-02T16:28:22Z", "type": "Journal Article", "created": "2024-10-24", "title": "Drivers of soil health across European Union \u2013 Data from the literature review", "description": "Soil health in Europe has reached a critical point: it is estimated that 60-70% of European soils are unhealthy. Changes in land use, its intensity and the quality of management have significant impacts on soil health and soil related ecosystem services. A systems analysis of soil health dynamics requires an understanding of the drivers inducing changes in land use and management. The DPSIR framework was adapted to the context of soil health in the European Union (EU) and used as an analytical framework for identifying the drivers for soil health. A scoping literature review, divided in four parts based on different land use types (urban and industrial, agriculture, forest, and nature), was conducted using the PRISMA protocol. The identified drivers across all land uses have been adjusted and standardised in in-person and online workshops. This metadata set presents the typology of drivers sorted according to the EU soil mission's soil health objectives, land use type, and location. The literature review was conducted as part of SOLO (Soils for Europe), a EU\u00b4s Horizon Europe funded project and the dataset will support the co creation and knowledge developing platforms (think tanks) for each EU soil mission objectives.", "keywords": ["meta-analysis", "EU soil mission", "330", "EU soil mission ; Soil health objectives ; Land use ; Meta-analysis ; DPSIR", "DPSIR", "land use", "soil health objectives", "Data Article"]}, "links": [{"href": "https://doi.org/PMC11617959"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC11617959", "name": "item", "description": "PMC11617959", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC11617959"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+Article&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+Article&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+Article&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Data+Article&offset=7", "hreflang": "en-US"}], "numberMatched": 7, "numberReturned": 7, "distributedFeatures": [], "timeStamp": "2026-05-03T08:39:53.678796Z"}