{"type": "FeatureCollection", "features": [{"id": "10.1016/j.dib.2019.104394", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:55Z", "type": "Journal Article", "created": "2019-08-23", "title": "Experimental data of bio self-healing concrete incubated in saturated natural soil", "description": "The provision of suitable incubation environments is vital for successful implementation of bio self-healing concrete (bio-concrete). We investigated the effect of soil incubation to examine if the self-healing process can be activated in comparison with the conventional incubation environment (water). The data was collected from laboratory-scale experiments conducted on mortar specimens. The mortar was impregnated with Bacillus subtilis and this bacteria was encapsulated in calcium alginate for protection from the production process. The mortar specimens were mechanically cracked and then incubated within fine-grained fully saturated natural soil for about 4 weeks. The cracks were inspected before and after incubation by light microscopy to evaluate the healing ratio. The mineral precipitations on crack surfaces were examined by Scanning Electron Microscope (SEM) and Energy Dispersive X-Ray Spectrometry (EDX). The data reflects the efficiency of bio-concrete for certain structures such as tunnels and deep foundation, where concrete elements are exposed to ground conditions.", "keywords": ["Scanning Electron Microscope (SEM)", "Q1-390", "Soil incubation", "Science (General)", "Bacteria", "Computer applications to medicine. Medical informatics", "Energy Dispersive X-Ray Spectrometry (EDX)", "R858-859.7", "0211 other engineering and technologies", "Self-healing concrete", "02 engineering and technology", "Construction and Architecture", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2019.104394"}, {"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.2019.104394", "name": "item", "description": "10.1016/j.dib.2019.104394", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2019.104394"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2020.105376", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:55Z", "type": "Journal Article", "created": "2020-03-09", "title": "Quantifying cover crop effects on soil health and productivity", "description": "The dataset presented here supports the research paper entitled 'A calculator to quantify cover crop effects on soil health and productivity'. Soil health (sometimes used synonymously with soil quality) is a concept that describes soil as a living system to sustain plants, animals, and human. Soil physical, chemical, and biological properties, along with their interactions, are required to quantify soil health. The use of cover crops in agricultural rotations may enhance soil health, yet there has been little progress in understanding how external factors such as climate, soil type, and agronomic practices affect soil and cash crop responses. In response, this dataset compiles measurements from 281 studies and provides an analysis of field-measured changes in 38 soil health indicators due to cover crop usage. Environmental and background indicators were also compiled to assess how climatic and management practices affect soil and cash crop responses to cover crops, with specific categories including climate type (tropical, arid, temperate, and continental), soil texture (coarse, medium, and fine), cover crop type (legume, grass, multi-species mixture, and other), and cash crop type (corn, soybean, wheat, vegetable, corn-soybean rotation, corn-soybean-wheat rotation, and other). An unbalanced analysis of variation was used to determine the hierarchy of most to least important factors that affected responsiveness of each soil health indicator. Based on the hierarchy structure, a soil health calculator was then developed to quantify the response of 13 parameters - erosion, runoff, weed suppression, soil aggregate stability, leaching, infiltration, microbial biomass carbon, soil bulk density, soil organic carbon, soil nitrogen, microbial biomass nitrogen, cash crop yield, and saturated hydraulic conductivity - to cover crops. The presented data in the calculator report the mean change in parameter values based on all combinations of climate, soil texture, cover crop type, and cash crop type.", "keywords": ["2. Zero hunger", "Q1-390", "Science (General)", "Agricultural and Biological Science", "13. Climate action", "Computer applications to medicine. Medical informatics", "R858-859.7", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2020.105376"}, {"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.2020.105376", "name": "item", "description": "10.1016/j.dib.2020.105376", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2020.105376"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2022.108226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:55Z", "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.2024.111226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:55Z", "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": "2026-05-24T16:15:55Z", "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"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=R858-859.7&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=R858-859.7&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=R858-859.7&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=R858-859.7&offset=5", "hreflang": "en-US"}], "numberMatched": 5, "numberReturned": 5, "distributedFeatures": [], "timeStamp": "2026-05-25T06:20:42.856570Z"}