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It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. 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By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of land use. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. 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The columns include institute, country, contact person(s), contact person(s) e-mail, beneficiary or linked partner or SSL outside EJP, name of SSL, location, SSL form, format, link, conditions, geographical coverage, number of sites, number of samples, sample representation, increment, spectrophotometer, state of soil sample, organic carbon, texture, models, sharing, sample availability and georeferenced field site(s).", "keywords": ["EJP SOIL", "ProbeField", "Soil Organic Carbon", "Lab and field spectroscopy", "EJPSOIL", "Soil sampling", "Life Science", "SOC", "Proximal sensing", "Soil Spectral Library (SSL)"], "contacts": [{"organization": "Stenberg, Bo, Bor\u016fvka, Lubo\u0161, Fantappi\u00e8, Maria, Sanden, Taru, Van Egmond, Fenny, Koganti, Triven, Klumpp, Katja, Debaene, Guillaume, Liebisch, Frank, Castaldi, Fabio, Cayuela S\u00e1nchez, Jos\u00e9 Antonio, Barbetti, Roberto, Madeno\u011flu, Sevin\u00e7,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14019130"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14019130", "name": "item", "description": "10.5281/zenodo.14019130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14019130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14034735", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:44Z", "type": "Report", "title": "Rewetting of drained peatlands provides  permanent and fast GHG mitigation. EJP Soil Policy brief.", "description": "Summary for Policy brief  Greenhouse gas (GHG) emissions from drained peatlands are >100 Mt CO2 eq. annually in EU. In rewetting, water level is raised to mitigate emissions of CO2 and N2O from peat decomposition. Paludiculture is the practice of rewetting coupled with crop biomass harvest. Studies on paludiculture at selected sites showed: Raising the water table decreases peat decomposition, It is difficult to reach net carbon (C) sequestration, Biomass harvest does not necessarily compromise improvement in the C balance, High range of N2O emissions (from minor to high), Moderate CH4 emissions.", "keywords": ["ground water table", "EJP Soil", "rewetting", "greenhouse gas emissions", "greenhouse gas", "peatland", "paludiculture", "peat soil"], "contacts": [{"organization": "L\u00e5ng, Kristiina, van de Craats, Dani\u00ebl, Honkanen, Henri, Elsgaard, Lars, Hessel, Rudi, Kekkonen, Hanna, Larmola, Tuula, Leifeld, Jens, L\u00e6rke, Poul Erik, Rodriguez, Andres, Saarnio, Sanna, Zhao, Junbin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14034735"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14034735", "name": "item", "description": "10.5281/zenodo.14034735", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14034735"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-10T00:00:00Z"}}, {"id": "10.5281/zenodo.14035520", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:44Z", "type": "Report", "title": "Accuracies and costs of prediction and mapping of soil properties using proximal electromagnetic sensors", "description": "Working review paper on costs and accuracies associated with using proximal soil sensing for high resolution soil mapping. We reviewed around 200 articles and collected costs from more than 20 companies.", "keywords": ["EJP Soil", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Sand\u00e9n, Taru, Madenoglu, Sevinc, Barbetti, Roberto, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14035520"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14035520", "name": "item", "description": "10.5281/zenodo.14035520", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14035520"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14035521", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:44Z", "type": "Report", "title": "Accuracies and costs of prediction and mapping of soil properties using proximal electromagnetic sensors", "description": "Working review paper on costs and accuracies associated with using proximal soil sensing for high resolution soil mapping. We reviewed around 200 articles and collected costs from more than 20 companies.", "keywords": ["EJP Soil", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Sand\u00e9n, Taru, Madenoglu, Sevinc, Barbetti, Roberto, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14035521"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14035521", "name": "item", "description": "10.5281/zenodo.14035521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14035521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14041243", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:44Z", "type": "Report", "title": "Modelling CO2 emissions of cultivated and rewetted peat soils with SWAP-ANIMO", "description": "This document is deliverable 6 from the INSURE project (Indicators for successful carbon sequestration and greenhouse gas mitigation by rewetting cultivated peat soils), which is part of the EJP Soil programme. It describes the application of the SWAP-ANIMO model to sites with peat soils in three locations in Europe (wet river valley (Denmark), coastal peatland (The Netherlands) and broad river floodplain (Switzerland)) for which two to three years of measurements of hydrological variables and CO2 exchange fluxes were available for some period between 2015 and 2023. The hydrology, grass growth and CO2 fluxes of these sites were modelled with the SWAP-ANIMO model using the available measurement period for model input and calibration. Model simulations were used to improve the understanding of the hydrological drivers of each site and to obtain estimates of the different pools contributing to the measured CO2 fluxes using a period of 10 years (2014-2023). Rewetting was considered either by calibration on direct measurements of an actual rewetting measure (Denmark, The Netherlands) or extrapolation of the reference simulation (Switzerland). Also, the potential impact of climate change on the rate of peat oxidation was modelled for these sites for both the reference and rewetting measure.", "keywords": ["EJP Soil", "SWAP-ANIMO", "peat", "INSURE", "GHG"], "contacts": [{"organization": "van de Craats, Daniel, Hessel, Rudi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14041243"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14041243", "name": "item", "description": "10.5281/zenodo.14041243", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14041243"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-05T00:00:00Z"}}, {"id": "10.5281/zenodo.14055260", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:45Z", "type": "Other", "title": "Influence of soil texture on the estimation of soil organic carbon from Sentinel-2 temporal mosaics at 34 European sites", "description": "The aim of this study was to investigate the influence of soil texture on SOC predictions using Sentinel-2 temporal mosaics. The study analysed how local within-site variability and correlations in SOC and soil texture influence the possibility of predicting SOC from satellite data using local models at sites in different pedo-climatic zones across Europe. Analyses of 34 individual sites in 10 European countries were carried out within the framework of the STEROPES project of the European Joint H2020 Programme, EJP SOIL.  The manuscript is curently under review in European journal of Soil Science.", "keywords": ["EJP SOIL", "remote sensing", "STEROPES", "satellite", "SOC", "clay", "soil moisture", "time series", "field scale"], "contacts": [{"organization": "Wetterlind, J, Simmler, M, Castaldi, F, Bor\u016fvka, L, Gabriel, J.L., Gomes, L.C., Khosravi, V, K\u0131vrak, C, Koparan, M.H., L\u00e1zaro-L\u00f3pez, A, Liebisch, F, Rodriguez, J.A., Sava\u015f, A.\u00d6., Stenberg, B, Tun\u00e7ay, T, Vinci, I, Volungevi\u010dius, J, \u017dydelis, R, Vaudour, E,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055260"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055260", "name": "item", "description": "10.5281/zenodo.14055260", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055260"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-08T00:00:00Z"}}, {"id": "10.5281/zenodo.14055903", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:45Z", "type": "Dataset", "title": "Modelling CO2 emissions of cultivated and rewetted peat soils with SWAP-ANIMO - Dataset", "description": "Three locations in Europe (wet river valley (Denmark), coastal peatland (The Netherlands) and broad river floodplain (Switzerland)) were selected for which two to three years of measurements of hydrological variables and CO2 exchange fluxes were available for some period between 2015 and 2023. The hydrology, grass growth and CO2 fluxes of these sites were modelled with the SWAP-ANIMO model using the available measurement period for model input and calibration. Model simulations were used to improve the understanding of the hydrological drivers of each site and to obtain estimates of the different pools contributing to the measured CO2 fluxes using a period of 10 years (2014-2023). Rewetting was considered either by calibration on direct measurements of an actual rewetting measure (Denmark, The Netherlands) or extrapolation of the reference simulation (Switzerland). Also, the potential impact of climate change on the rate of peat oxidation was modelled for these sites for both the reference and rewetting measure.   The dataset contains the relevant detailed, daily model output of the 10 year simulation period and aggregated, yearly model output of the scenario simulations which are detailed in the corresponding report (van de Craats et al., 2024), available at https://doi.org/10.5281/zenodo.14041243.", "keywords": ["EJP Soil", "SWAP-ANIMO", "peat", "Life Science", "INSURE", "GHG"], "contacts": [{"organization": "van de Craats, Dani\u00ebl, Hessel, Rudi, Dik, Pim, Paul, Sonja, Leifeld, Jens, L\u00e6rke, Poul Erik, Petersen, Rasmus Jes,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055903"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055903", "name": "item", "description": "10.5281/zenodo.14055903", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055903"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14055904", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:45Z", "type": "Dataset", "title": "Modelling CO2 emissions of cultivated and rewetted peat soils with SWAP-ANIMO - Dataset", "description": "Three locations in Europe (wet river valley (Denmark), coastal peatland (The Netherlands) and broad river floodplain (Switzerland)) were selected for which two to three years of measurements of hydrological variables and CO2 exchange fluxes were available for some period between 2015 and 2023. The hydrology, grass growth and CO2 fluxes of these sites were modelled with the SWAP-ANIMO model using the available measurement period for model input and calibration. Model simulations were used to improve the understanding of the hydrological drivers of each site and to obtain estimates of the different pools contributing to the measured CO2 fluxes using a period of 10 years (2014-2023). Rewetting was considered either by calibration on direct measurements of an actual rewetting measure (Denmark, The Netherlands) or extrapolation of the reference simulation (Switzerland). Also, the potential impact of climate change on the rate of peat oxidation was modelled for these sites for both the reference and rewetting measure.   The dataset contains the relevant detailed, daily model output of the 10 year simulation period and aggregated, yearly model output of the scenario simulations which are detailed in the corresponding report (van de Craats et al., 2024), available at https://doi.org/10.5281/zenodo.14041243.", "keywords": ["EJP Soil", "SWAP-ANIMO", "peat", "Life Science", "INSURE", "GHG"], "contacts": [{"organization": "van de Craats, Dani\u00ebl, Hessel, Rudi, Dik, Pim, Paul, Sonja, Leifeld, Jens, L\u00e6rke, Poul Erik, Petersen, Rasmus Jes,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055904"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055904", "name": "item", "description": "10.5281/zenodo.14055904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14150971", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Report", "title": "D5.1 ProbeField: Best Practice Protocol for Field Spectroscopy and Assessment by Soil Spectral Library Based Calibrations", "description": "A step-by-step guide for spectral sampling directly in the field and for the subsequent mathematical preprocessing of spectra to 1) reduce noise and enhance spectral features related to soil properties, and 2) remove moisture effects and align spectra with laboratory-based soil spectral libraries (SSLs). The reader is also introduced to the very basics of soil spectroscopy and the main results of the Horizon 2020 EJP SOIL ProbeField project that outlined and tested this protocol. The aims is to produce spectra sampled directly in the field that to the largest possible degree resemble laboratory spectra so that soil properties may be predicted by models calibrated on soil spectral libraries.", "keywords": ["External Parameter Orthogonalisation", "EJP SOIL", "ProbeField", "Soil sciences", "Soil sensors", "Soil Organic Matter", "SOC", "proximal sensors", "Soil Spectroscopy", "EPO"], "contacts": [{"organization": "Stenberg, Bo, Koganti, Triven, Castaldi, Fabio, Metzger, Konrad, Buttafuoco, Gabriele, van Egmond, Fenny, Cayuela, Jos\u00e9 Antonio, Bor\u016fvka, Lubo\u0161, Debaene, Guillaume, Liebisch, Frank, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14150971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14150971", "name": "item", "description": "10.5281/zenodo.14150971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14150971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14056687", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:45Z", "type": "Report", "title": "STEROPES synthesis report", "description": "STEROPES, named after a cyclop from the Ancient Greek mythology, stands for \u201cstimulating novel technologies from earth remote sensing to predict European soil carbon\u201d. The overall context of this project (36 months duration plus 6 months-extension, started on 1st February 2021) stems from the need to spatially estimate and monitor soil properties, and especially soil organic carbon (SOC) content, for decision support and land management, notably regarding carbon balance assessment and the feasibility of carbon credits, and more generally in relation to soil health and ecosystem services assessment.  The main aim of STEROPES was to elaborate maps from satellite time series, such as those\u00a0made available by the European Space Agency through the Copernicus data portal. The STEROPES consortium was composed of 19 public institutes from 14 countries spread over Europe, hence with highly diverse agropedoclimatic contexts.  The first phase of the project consisted of constructing reflectance image spectra of optical satellite series, notably Sentinel-2 (ESA), based on a number of diversified areas for which SOC samples were already available. Over the course of the project, several datasets have been collected focusing on small regions of some hundreds of km\u00b2 or on detailed scales of farms or catchments of some km\u00b2, for which SOC samples were already available with an areal density higher than 1-3 samples/km\u00b2.  The second phase of the project was dedicated to analysing the influence of various factors on SOC prediction performance: soil moisture, texture, green and dry vegetation due to management practices, salinity. Then, for the sites where satellite information may not enable to derive acceptable predictions, other ancillary data such as gamma-ray data layers were considered.  The third phase of the project included field campaigns that were carried out in order to complement or to provide datasets; the processing of the data and the launch of an additional work package dedicated to emerging research gaps.  This final report compiles the overall results of the work packages and their joint analysis in WP6 of\u00a0STEROPES.", "keywords": ["EJP SOIL", "remote sensing", "STEROPES", "satellite", "SOC", "time series"], "contacts": [{"organization": "Vaudour, Emmanuelle, Wetterlind, Johanna, van Egmond, Fenny, Bor\u016fvka, Lubo\u0161, Castaldi, Fabio, Dik, Pim, Farzamian, Mohammad, Fouad, Youssef, Liebisch, Frank, Lopatka, Artur, Michot, Didier, Nino, Pasquale, Saberioon, Mehdi, Simmler, Michael, Vanderhasselt, Adrian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14056687"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14056687", "name": "item", "description": "10.5281/zenodo.14056687", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14056687"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-08T00:00:00Z"}}, {"id": "10.5281/zenodo.14065208", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:46Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065208"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065208", "name": "item", "description": "10.5281/zenodo.14065208", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065208"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14065209", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:46Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065209"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065209", "name": "item", "description": "10.5281/zenodo.14065209", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065209"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14092313", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:46Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14092313"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14092313", "name": "item", "description": "10.5281/zenodo.14092313", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14092313"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14104497", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:46Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14104497"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14104497", "name": "item", "description": "10.5281/zenodo.14104497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14104497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14134736", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Dataset", "title": "Soil grid dataset of agricultural sites in the Czech Republic", "description": "The current dataset includes 320 topsoil samples (0\u201320\u202fcm depth) collected from four agricultural sites in the Czech Republic. The samples were gathered from P\u0159estavlky, Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice (80 samples from each site) in June 2021. It contains sample coordinates and some soil parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local model development), WP3 (effect of texture), and WP4 (effect of vegetation and plant residues).", "keywords": ["EJP SOIL", "STEROPES", "Soil Organic Carbon", "Soil sampling", "SOC", "Texture", "Agricultural sites"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14134736"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14134736", "name": "item", "description": "10.5281/zenodo.14134736", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14134736"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14134737", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Dataset", "title": "Soil grid dataset of agricultural sites in the Czech Republic", "description": "The current dataset includes 320 topsoil samples (0\u201320\u202fcm depth) collected from four agricultural sites in the Czech Republic. The samples were gathered from P\u0159estavlky, Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice (80 samples from each site) in June 2021. It contains sample coordinates and some soil parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local model development), WP3 (effect of texture), and WP4 (effect of vegetation and plant residues).", "keywords": ["EJP SOIL", "STEROPES", "Soil Organic Carbon", "Soil sampling", "SOC", "Texture", "Agricultural sites"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14134737"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14134737", "name": "item", "description": "10.5281/zenodo.14134737", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14134737"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14137529", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Dataset", "title": "Soil laboratory spectra of agricultural sites in the Czech Republic", "description": "The dataset includes VNIR-SWIR spectra of dried, ground, and sieved (< 2 mm) soil samples collected from three agricultural sites in the Czech Republic. The spectra\u00a0were recorded in the laboratory using an\u00a0ASD FieldSpec 3 instrument and under\u00a0the standard protocol.\u00a0The samples were gathered from Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice sites (80 samples from each site) in June 2021. The dataset also contains sample coordinates and some parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local models development).", "keywords": ["EJP SOIL", "Soil spectra", "Field scale", "STEROPES", "Soil Organic Carbon", "SOC", "Texture"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14137529"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14137529", "name": "item", "description": "10.5281/zenodo.14137529", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14137529"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14137530", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Dataset", "title": "Soil laboratory spectra of agricultural sites in the Czech Republic", "description": "The dataset includes VNIR-SWIR spectra of dried, ground, and sieved (< 2 mm) soil samples collected from three agricultural sites in the Czech Republic. The spectra\u00a0were recorded in the laboratory using an\u00a0ASD FieldSpec 3 instrument and under\u00a0the standard protocol.\u00a0The samples were gathered from Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice sites (80 samples from each site) in June 2021. The dataset also contains sample coordinates and some parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local models development).", "keywords": ["EJP SOIL", "Soil spectra", "Field scale", "STEROPES", "Soil Organic Carbon", "SOC", "Texture"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14137530"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14137530", "name": "item", "description": "10.5281/zenodo.14137530", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14137530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14143563", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-27T16:25:47Z", "type": "Report", "created": "2024-12-09", "title": "Impact of Different Supervised Bare Soil Pixels Retrieval Approaches on Prediction of the Soil Organic Carbon", "description": "This study was to compare the performance of the index-based and unmixing-based classification approaches as well as their integration on discrimination of the bare soil pixels on Sentinel-2 (S2) and Landsat 8-OLI (L08-OLI) single-date scenes from dry and green vegetation within four local agricultural sites, in the Czech Republic. In conclusion, classification of soil cover using the integrated approach led to more accurate extraction of bare soil and higher performance SOC prediction models, on both types of satellite data. Considering all approaches, results obtained on S2 data were more accurate than those delivered on L08-OLI.\u00a0  The manuscript is about to be submitted after the final approval of all authors.", "keywords": ["Linear spectral unmixing", "EJP SOIL", "STEROPES", "Spectral indices", "Soil organic carbon", "Soil cover classification", "Airborne and satellite data"], "contacts": [{"organization": "Khosravi, Vahid, Gholizadeh, Asa, Castaldi, Fabio, Saberioon, Mohammadmehdi, Chapman Agyeman, Prince, \u017d\u00ed\u017eala, Daniel, Kode\u0161ov\u00e1, Radka, Bor\u016fvka, Lubo\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14143563"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14143563", "name": "item", "description": "10.5281/zenodo.14143563", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14143563"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14141767", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:47Z", "type": "Report", "title": "Regional scale simulation of reduced fertilization scenarios", "description": "In this study a regional simulation in Flanders, Belgium was performed with a Roth-C model to study the effect of reduced mineral fertilization on the soil organic carbon (SOC) stock. For this study, a model environment developed for a European scale simulation was used (Pape 2024) to determine the loss of SOC resulting from a reduced fertilization with a reduction of 20% N for seven crops (barley, grain maize, silage maize, potato, rapeseed, sugar beet and wheat). Data for the crop yield and area specific for Flanders were used to perform the simulation. The model environment uses yield reductions to simulate the impact on SOC of a reduction of 20% mineral N fertilization by simulating monocultures and using the share of agricultural area to find the resulting difference in SOC for each crop. The difference in C input is proportional to the yield reduction due to a reduction in fertilisation of -20% N, the yield and the crop\u2019s share of agricultural area. In the case study for Flanders a total of 0.84 Mg C/ha SOC loss over a period of 30 years was simulated. Most of this SOC loss was linked to cultivation of rapeseed and wheat, followed by grain and silage maize. In the simulation for Flanders higher SOC losses were found for the crops silage maize, grain maize,\u00a0 potatoes and sugar beet in comparison to the European scale simulation, while for the crops wheat, grain maize and barley a lower SOC loss was found. In Flanders maize is the most commonly grown crop, followed by cereals, potatoes and sugar beet. Due to a high share of area for these crops in Flanders high SOC losses were found, some higher than found in the European scale simulation. In the European scale and regional scale simulations, rapeseed has a high contribution to the simulated SOC losses, but this is rather linked to the high reduction in yield as a consequence of the reduction in mineral fertilization than due to the crop\u2019s share of total arable land. With the introduction of the regional specific data for yield and area, a more realistic simulation of the SOC losses were obtained due to the inclusion of detailed\u00a0 data on the crop\u2019s share of cultivated area. In Flanders, the agricultural area is very fragmented and scattered over all of Flanders. In European datasets this leads to very rough estimates of agricultural land which does not coincide with the reality. To further develop this scenario additional regional specific data such as climate, clay content and SOC content should be incorporated in the regional scale simulation.", "keywords": ["EJP SOIL", "SOC simulation", "SIMPLE", "SOC", "Farm to fork"], "contacts": [{"organization": "Mertens, Kaat", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14141767"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14141767", "name": "item", "description": "10.5281/zenodo.14141767", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14141767"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14163614", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:48Z", "type": "Dataset", "title": "STEROPES_dataset-29", "description": "Dataset 29: Multispectral UAV data, ILVO\u00a0\u00a0  Origin: Multispectral UAV remote sensing data of soil surface were collected across the ILVO field trails (s15 - BOPACT & S2 - Gavere) in Flanders (Belgium). \u00a0  Purpose: Used in WP 4.\u00a0\u00a0  Format: raster files.\u00a0\u00a0  Data utility:\u00a0 For fusing with sentinel-2 data in order to improve the spatial resolution of sentinel-2 images in evaluating the impact of plant residual on SOC prediction.", "keywords": ["EJP SOIL", "remote sensing", "STEROPES", "UAV", "SENTINEL2"], "contacts": [{"organization": "De Boever, Maarten, saberioon, mohammadmehdi, Van Beek, Jonathan, Callens, Bert,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14163614"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14163614", "name": "item", "description": "10.5281/zenodo.14163614", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14163614"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14169022", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:49Z", "type": "Dataset", "title": "STEROPES - Dataset 19: Collected soil data, ILVO", "description": "Dataset 19: Collected soil data, ILVO (Belgium)  Origin: First field trial on BOPACT LTE (S15) and on field trial S2 in Gavere, 16 samples from topsoil 0-10 cm; in 5m-radius around center of each plot): soil carbon and soil moisture). Second field trial, 20 samples from top soil 0-10 cm during 2021 and 2022 collected and soil organic carbon measured.\u00a0\u00a0  Purpose and objectives: to analyse the input of plant residue in SOC prediction from remote sensing data under WP4.\u00a0  Format: Data in the format of CSV .\u00a0\u00a0  Data utility: Data is collected based on the experiment where each plot has different amount of plant residual from without plant residual till completely covered with plant residual.", "keywords": ["EJP SOIL", "sampling", "remote sensing", "STEROPES", "SENTINEL2", "soil"], "contacts": [{"organization": "De Boever, Maarten, saberioon, mohammadmehdi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14169022"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14169022", "name": "item", "description": "10.5281/zenodo.14169022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14169022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14170112", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:49Z", "type": "Other", "title": "PSS_cost_accuracy_calculator", "description": "Open AccessThis worksheet aims to perform a cost/benefit analysis of Proximal Soil Sensing (PSS), relevant to WP4 EJP Soil Probefield Task 4.3. After an explanation in the READ_ME sheet, two equations, 'EQ1' and 'EQ2,' are implemented. EQ1 focuses on PSS point measurements (i.e spectroscopy), while EQ2 integrates Point measurement with on-the-go sensors for the production of Digital Soil Mapping. EQ1 is based on the cost-effectiveness index (E), a method proposed by Li et al. (2021), which enables a comprehensive cost-benefit analysis compared to standard soil analysis by considering factors such as accuracy, time, and cost. In the EQ2 sheet, the cost calculation is based on a simple summation, while accuracy is evaluated by the relative increase in accuracy (RI) as a reduction in RMSE. Simple interpolation methods, such as Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), serve as the baseline from which RI begins.", "keywords": ["Cost benefits analysis", "Soil sciences", "ProbeField", "EJP SOIL", "Laboratory samples analysis", "Proximal Soil Sensing"], "contacts": [{"organization": "Barbetti, Roberto, Lozano Fond\u00f3n, Carlos, Stenberg, Bo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170112", "name": "item", "description": "10.5281/zenodo.14170112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14170113", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:49Z", "type": "Other", "title": "PSS_cost_accuracy_calculator", "description": "Open AccessThis worksheet aims to perform a cost/benefit analysis of Proximal Soil Sensing (PSS), relevant to WP4 EJP Soil Probefield Task 4.3. After an explanation in the READ_ME sheet, two equations, 'EQ1' and 'EQ2,' are implemented. EQ1 focuses on PSS point measurements (i.e spectroscopy), while EQ2 integrates Point measurement with on-the-go sensors for the production of Digital Soil Mapping. EQ1 is based on the cost-effectiveness index (E), a method proposed by Li et al. (2021), which enables a comprehensive cost-benefit analysis compared to standard soil analysis by considering factors such as accuracy, time, and cost. In the EQ2 sheet, the cost calculation is based on a simple summation, while accuracy is evaluated by the relative increase in accuracy (RI) as a reduction in RMSE. Simple interpolation methods, such as Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), serve as the baseline from which RI begins.", "keywords": ["Cost benefits analysis", "Soil sciences", "ProbeField", "EJP SOIL", "Laboratory samples analysis", "Proximal Soil Sensing"], "contacts": [{"organization": "Barbetti, Roberto, Lozano Fond\u00f3n, Carlos, Stenberg, Bo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170113"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170113", "name": "item", "description": "10.5281/zenodo.14170113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14171926", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:49Z", "type": "Report", "title": "Final Report - SensRes project", "description": "The SensRes project (Sensor data for downscaling digital soil maps to higher resolutions). This project started on 1st February 2021 and had a duration of 36 months plus 6 months-extension. The overall context of this project is that soil maps for large areas often fail to account for local variation (field) in soil properties, due to their coarse resolutions. However, remote and proximal sensors can provide highly detailed soil information at a local level. Therefore, the main objectives were:  1.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To develop a generic, tested methodological framework for downscaling digital soil maps using sensor data.  2.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To test data from proximal sensors as well as spectral images from UAVs, satellites as well as data fusion as a means to downscale digital soil maps.  3.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To investigate the use of downscaled soil maps for practical applications.  In this report, we compiled the results from the different Working Packages and related deliverables. In general, we present the developed framework for downscaling soil maps, which was also published as an R package (https://github.com/anbm-dk/soilscaler/tree/main). Additionally, it highlights the main findings for producing high-resolution maps of soil organic carbon, clay, silt, and sand using individual sensors from satellites, UAVs, and proximal sources, as well as sensor data fusion in agricultural fields across Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey. Finally, the report assesses the potential for soil organic carbon sequestration at the field level using downscaled soil maps (soil organic carbon, clay, and silt).", "keywords": ["soil organic carbon", "EJP SOIL", "SensRes", "downscaling", "erosion", "carbon sequestration"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, van Egmond, Fenny, \u00c7inkaya, \u0130smail, Greve, Mogens,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14171926"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14171926", "name": "item", "description": "10.5281/zenodo.14171926", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14171926"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14184825", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:50Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. ProbeField is a joint project involving 14 partners from 12 countries:\u00a0  Swedish University of Agricultural Sciences (SLU), Aarhus University (AU), Austrian Agency for Health and Food Safety Ltd. (AGES), Agroscope (AGS), University of Natural Resources and Life Sciences Vienna (BOKU), National Research Council of Italy (CNR), Council for Agricultural Research and Economics (CREA), Spanish National Research Council (CSIC), Czech University of Life Sciences Prague (CZU), National Research Institute for Agriculture, Food and Environment (INRAE), Institute of Soil Science and Plant Cultivation - State Research Institute (IUNG-PIB), General Directorate of Agricultural Research and Policies (TAGEM), University of Maribor, Faculty of Agriculture and Life Sciences (UM-FKBV) and Wageningen Environmental Research (WR).", "keywords": ["Proximal soil sensing", "ProbeField", "EJP SOIL", "Soil sciences", "Remote sensing"], "contacts": [{"organization": "Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Castaldi, Fabio, van Egmond, Fenny, Lozano Fond\u00f3n, Carlos, Ben Dor, Eyal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14184825"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14184825", "name": "item", "description": "10.5281/zenodo.14184825", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14184825"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "10.5281/zenodo.14184826", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-27T16:25:50Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. ProbeField is a joint project involving 14 partners from 12 countries:\u00a0  Swedish University of Agricultural Sciences (SLU), Aarhus University (AU), Austrian Agency for Health and Food Safety Ltd. (AGES), Agroscope (AGS), University of Natural Resources and Life Sciences Vienna (BOKU), National Research Council of Italy (CNR), Council for Agricultural Research and Economics (CREA), Spanish National Research Council (CSIC), Czech University of Life Sciences Prague (CZU), National Research Institute for Agriculture, Food and Environment (INRAE), Institute of Soil Science and Plant Cultivation - State Research Institute (IUNG-PIB), General Directorate of Agricultural Research and Policies (TAGEM), University of Maribor, Faculty of Agriculture and Life Sciences (UM-FKBV) and Wageningen Environmental Research (WR).", "keywords": ["Proximal soil sensing", "ProbeField", "EJP SOIL", "Soil sciences", "Remote sensing"], "contacts": [{"organization": "Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Castaldi, Fabio, van Egmond, Fenny, Lozano Fond\u00f3n, Carlos, Ben Dor, Eyal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14184826"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14184826", "name": "item", "description": "10.5281/zenodo.14184826", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14184826"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14214677", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:51Z", "type": "Report", "title": "A fieldwork protocol and procedures for cost-benefit estimation for using proximal soil sensing methods", "description": "The general objective of this protocol is to compare the results of spatializing soil properties as predicted by Proximal Soil Sensors (PSS) used by the ProbeField partners. It also aims to establish a standard methodology for conducting field experiments and analyzing the data.\u00a0     Specifically, this protocol aims to provide I) insights about soil sampling design using covariates for the areas of interest; II) evaluate the suitability of measurements by applying protocols in the field during the PSS surveys; III) interpolation approaches to create baseline maps and IV) insights into the accuracies attainable using single versus combined PSS techniques, and incorporating data fusion with both linear and non-linear modeling approaches. Finally, we provide V) methods for evaluating the entire process of estimating soil properties in terms of costs and benefits. The last section of the document provides examples of new and historical case studies where the protocol has been applied and includes cost-benefit analysis.", "keywords": ["EJP SOIL", "Probefield"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, Fantappi\u00e8, Maria, Roberto, Barbetti, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Fabio, Castaldi, Romina, Lorenzetti, Stenberg, Bo, Metzger, Konrad, Bor\u016fvka, Lubo\u0161, Khosravi, Vahid, Walvoort, Dennis, Pim, Dik, L\u00f3pez N\u00fa\u00f1ez, Rafael, A. Cayuela, Jos\u00e9, Koganti, Triven, Fenny, van Egmond,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14214677"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14214677", "name": "item", "description": "10.5281/zenodo.14214677", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14214677"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-25T00:00:00Z"}}, {"id": "10.5281/zenodo.14224783", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:52Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224783"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224783", "name": "item", "description": "10.5281/zenodo.14224783", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224783"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14224784", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:52Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224784"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224784", "name": "item", "description": "10.5281/zenodo.14224784", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224784"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14281686", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:25:54Z", "type": "Dataset", "title": "EPJSOIL SERENA WP3 T3.3 : France climatic and land use change modelling dataset (Saclay)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of land use. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided.  Climatic data were obtained from SAFRAN climatic data provided by M\u00e9t\u00e9o-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. All input data are available as part of this dataset.", "keywords": ["Lande use", "SERENA EJP SOIL", "WP3", "T3.3", "STICS", "France", "Model", "scenario"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14281686"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14281686", "name": "item", "description": "10.5281/zenodo.14281686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14281686"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14717728", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:26:01Z", "type": "Report", "title": "Submitted Manuscript - An open framework for downscaling soil maps using proximal and remote sensing data", "description": "This deliverable presents the main outputs of the SensRes project. Specifically, we developed an open-access framework (R package format) to downscale soil maps using remote and proximal sensor data and tested it for predicting soil organic carbon (SOC) and clay across different regions of Europe.", "keywords": ["soil organic carbon", "EJP SOIL", "downscaling", "soil maps"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, Volungevi\u010dius, Jonas, van Egmond, Fenny, Kavaliauskas, Ardas, Kramer, Henk, Teuling, Kees, \u00c7inkaya, \u0130smail, Greve, Mogens H,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14717728"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14717728", "name": "item", "description": "10.5281/zenodo.14717728", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14717728"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14772461", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:26:03Z", "type": "Report", "title": "Validation of the maps resulting from the application of the Cookbooks elaborated by WP3, and of EU products elaborated by WP5", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  This report is part of the EJP SOIL SERENA project. It presents the way some stakeholders have been involved in the project to validate mapping products of soil-based ecosystem services and soil threats, at both the national and EU scales.  At national scale, the maps have been produced by some harmonised cookbooks. The cookbooks are first presented and their concern: as far as soil threats are concerned, and as far as soil-based ecosystem services are concerned. A cookbook for an evaluation of bundles is also presented. The list of countries which have evaluated the different products is then precised. The results of the evaluation by stakeholders are commented all together, without any relation to a specific country. They demonstrate that the results are more likely understood by scientists than by policy makers or farmers. For the latter, the scale of the maps are not relevant with their own interest. The maps of erosion, SOC loss and soil sealing seem to be more easily understood by the stakeholder that the GHG regulation, and the bundles, with which stakeholders are not familiar.   At the EU scale, the evaluation has been conducted during a webinar organised by EJP-Soil WP8 (Science to Policy), and only the bundles of either soil threats or soil-based ecosystem services have been evaluated. The stakeholders were usually interested in the approach, acknowledged the results, but the latter sometimes appeared far from the actions they could develop to protect soils.", "keywords": ["EJP SOIL SERENA", "Stakeholder Participation", "Grant  n 86269", "soil modelling", "Grant n 86269", "stakeholders", "soil mapping"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14772461"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14772461", "name": "item", "description": "10.5281/zenodo.14772461", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14772461"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-30T00:00:00Z"}}, {"id": "10.5281/zenodo.15046019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:26:11Z", "type": "Report", "title": "Comparison and evaluation of sampling and eDNA metabarcoding protocols to assess soil biodiversity in Belgian LUCAS Biopoints", "description": "Environmental DNA (eDNA) metabarcoding is emerging as a novel tool for monitoring soil biodiversity. Soil biodiversity, critical to soil health and ecosystem services, remains under-monitored due to the lack of standardized and efficient methods. We evaluated whether refinements to sampling protocols (for soil invertebrates and Fungi) and molecular protocols (for soil invertebrates) could improve biodiversity detection. Comparing the 2018 LUCAS soil biodiversity protocol with newly developed national methods, we tested sampling and sequencing surface layers (0-10 cm and forest floor) versus deeper layers, larger soil sample sizes for DNA-extraction, taking more subsamples for composite soil samples, and alternative primer sets across 9 Belgian Biopoints included in the LUCAS 2022 survey. We show that the choice of sampling protocol significantly influences soil biodiversity assessments. The results show that, based on eDNA, we are able to detect significantly more species when sampling and sequencing the upper soil layers separately, while the diversity in the 10\u201330 cm soil layer is insufficient for annelids and arthropods to serve as indicators of ecological changes. Collembola and Arthropoda richness and diversity generally increased towards less intensely managed soils, when using the national (Cmon), and to a lesser extent the European (LUCAS) sampling protocols. In contrast, sampling and sequencing the 10-30 cm layer failed to capture such a pattern. Overall, the analyses suggest that soil depth has a greater influence on the soil invertebrate diversity captured than sampling intensity, and that the highest diversity is recovered when surface sampling (0\u201310 cm topsoil and forest floor) is combined with a greater number of subsamples (16 compared to 5 in LUCAS) and a larger sampled area. Additionally, comparison of the universal eukaryotic primers (18S) with primer sets tailored to important soil invertebrate groups, showed that universal 18S primers provide limited resolution for Collembola and Annelida, making them less suitable for accurately assessing the diversity of these groups as a response variable in monitoring ecological changes and biological soil health. With refinement and standardization, eDNA metabarcoding, combined with optimized sampling protocols, could become a powerful and efficient tool for monitoring soil biodiversity in European soils.", "keywords": ["EJP SOIL", "soil monitoring", "metabarcoding", "LUCAS", "soil biodiversity", "eDNA"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15046019"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15046019", "name": "item", "description": "10.5281/zenodo.15046019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15046019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-18T00:00:00Z"}}, {"id": "10.5281/zenodo.17121809", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:26:41Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Dataset on accuracies of the working review paper on costs and accuracies associated with using proximal soil sensing for high-resolution soil mapping. The RMSE data and related information were extracted from around 200 articles (references are included). This dataset is associated with the following DOI: https://doi.org/10.5281/zenodo.14035520", "keywords": ["EJP SOIL", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17121809"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17121809", "name": "item", "description": "10.5281/zenodo.17121809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17121809"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10261/401505", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:29:00Z", "type": "Dataset", "title": "D4.1 Review on Accuracy of Proximal Soil Sensors Dataset", "description": "Open AccessPeer reviewed", "keywords": ["EJP SOIL", "Ejp soil", "Probefield", "Life Science"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, PINAR, Melis \u00d6zge, Madenoglu, Sevinc, Barbetti, Roberto, Sand\u00e9n, Taru, Buttafuoco, Gabriele, Lorenzetti, Romina, Knadel, Maria, Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Gholizadeh, Asa, L\u00f3pez N\u00fa\u00f1ez, Rafael, Fantappi\u00e8, Maria, van Egmond, Fenny, Koganti, Triven,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/401505"}, {"rel": "self", "type": "application/geo+json", "title": "10261/401505", "name": "item", "description": "10261/401505", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/401505"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10261/406605", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:29:01Z", "type": "Journal Article", "created": "2025-10-20", "title": "Stakeholders' Perspectives on the Current State and Transition to Sustainable Soil Management Across Europe", "description": "ABSTRACT                   <p>Implementing sustainable soil management practices to enhance soil health is a priority in research and policymaking across Europe. There is a need to identify the main soil challenges faced by different European stakeholders and the critical threats limiting the adoption of sustainable management of agricultural soils. The present study analyses stakeholders' perspectives on key soil challenges, knowledge gaps, and priorities for agricultural soil research across partner countries that participated in the European Joint Programme on Soil (EJP SOIL) 2020\uffe2\uff80\uff932025. Two complementary stakeholder activities\uffe2\uff80\uff94a survey and a workshop\uffe2\uff80\uff94were conducted across 24 partner countries (divided into four regions: Central, Northern, Southern, and Western Europe) of the EJP SOIL consortium in 2024. Among 10 pre\uffe2\uff80\uff90identified soil challenges, the findings highlight that maintaining or increasing soil organic carbon, avoiding soil sealing, and avoiding soil erosion are the top three priorities across Europe. However, the perceived prioritisation of soil challenges differed both between and within regions, reflecting each country's specific soil health context. Divergences in perceptions between practitioners and other stakeholder groups underscore the need to develop actions aimed at better understanding the rationale behind such discrepancies and how to overcome them. In addition, other key challenges for achieving sustainable soil management across Europe include limited funding, policy incoherencies, poor knowledge dissemination and co\uffe2\uff80\uff90creation, and insufficient soil monitoring. Environmental factors influencing soil health, including climate change, together with governance and economic models, were perceived to be critical limitations to the adoption of sustainable management of agricultural soils. This study also emphasises the need for a diversity of engagement methods, policies, and system approaches to support a transition towards sustainable soil management. These findings underscore the need for future research agendas that focus on integrated knowledge and participatory approaches, and strategies involving societal awareness and policy alignment\uffe2\uff80\uff94key elements that have also informed broader strategies involving societal awareness and engagement towards sustainable soil management in Europe.</p", "keywords": ["Divergent perspectives", "EJP SOIL", "place-based practices", "Knowledge barriers", "Place-based practices", "Soil challenges and threats", "System approaches", "soil challenges and threats", "knowledge barriers", "science-policy-practitioner nexus", "system approaches", "divergent perspectives", "Science-policy-practitioner nexus"], "contacts": [{"organization": "Mansonia Pulido\u2010Moncada, Tiffanie Faye Stone, Jonna L\u00f8vlund Bach, Martin Hvarregaard Thors\u00f8e, Lars J. Munkholm, Valentina Baratella, Silvia Vanino, Roberta Farina, Claire Chenu, Sophie Cornu, Elo\u00efse Mason, Saskia Keesstra, Anke M. Herrmann, Jennie Barron, Bo Stenberg, Klaus A. Jarosch, Rok Miheli\u010d, Sara Mavsar, Maria da Concei\u00e7\u00e3o Gon\u00e7alves, N\u00e1dia Lu\u00edsa Castanheira, Tove Ortman, P\u00e9ter L\u00e1szl\u00f3, David Ramler, Sevinc Madenoglu, Hesna Ozcan, Johanna Lepp\u00e4l\u00e4, Greet Ruysschaert, Benjamin S. Gimeno, Bruno Huyghebaert, Raimonds Kasparinskis, Grzegorz Siebielec, Karolina Swiatek,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/406605"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/406605", "name": "item", "description": "10261/406605", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/406605"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-01T00:00:00Z"}}, {"id": "10481/84824", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:29:06Z", "type": "Journal Article", "created": "2023-07-12", "title": "National soil data in                     EU                     countries, where do we stand?", "description": "Abstract                   <p>At the European scale, soil characteristics are needed to evaluate soil quality, soil health and soil\uffe2\uff80\uff90based ecosystem services in the context of the European Green Deal. While some soil databases exist at the European scale, a much larger wealth of data is present in individual European countries, allowing a more detailed soil assessment. There is thus an urgent and crucial need to combine these data at the European scale. In the frame of a large European Joint Programme on agricultural soils launched by the European Commission, a survey was conducted in the spring of 2020, in the 24 European participating countries to assess the existing soil data sources, focusing on agricultural soils. The survey will become a contribution to the European Soil Observatory, launched in December 2020, which aims to collect metadata of soil databases related to all kind of land uses, including forest and urban soils. Based upon a comprehensive questionnaire, 170 soil databases were identified at local, regional and national scales. Soil parameters were divided into five groups: (1) main soil parameters according to the Global Soil Map specifications; (2) other soil chemical parameters; (3) other physical parameters; (4) other pedological parameters; and (5) soil biological features. A classification based on the environmental zones of Europe was used to distinguish the climatic zones. This survey shows that while most of the main pedological and chemical parameters are included in more than 70% of the country soil databases, water content, contamination with organic pollutants, and biological parameters are the least frequently reported parameters. Such differences will have consequences when developing an EU policy on soil health as proposed under the EU soil strategy for 2023 and using the data to derive soil health indicators. Many differences in the methods used in collecting, preparing, and analysing the soils were found, thus requiring harmonization procedures and more cooperation among countries and with the EU to use the data at the European scale. In addition, choosing harmonized and useful interpretation and threshold values for EU soil indicators may be challenging due to the different methods used and the wide variety of soil land\uffe2\uff80\uff90use and climate combinations influencing possible thresholds. The temporal scale of the soil databases reported is also extremely wide, starting from the '20s of the 20th century.</p", "keywords": ["Agricultural soil databases", "550", "EJP SOIL programme", "soil parameters", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "soil", "Soil", "Soil data", "11. Sustainability", "soil parameter", "survey", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "agricultural soil databases", "2. Zero hunger", "EJP SOIL", "harmonisation", "indicator", "15. Life on land", "6. Clean water", "Europe", "data", "13. Climate action", "Harmonization", "harmonization", "agricultural soil database", "soil data"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18926/1/European%20J%20Soil%20Science%20-%202023%20-%20Cornu%20-%20National%20soil%20data%20in%20EU%20countries%20where%20do%20we%20stand.pdf"}, {"href": "https://doi.org/10481/84824"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10481/84824", "name": "item", "description": "10481/84824", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10481/84824"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EJP+SOIL&offset=50&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=EJP+SOIL&offset=50&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": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EJP+SOIL&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EJP+SOIL&offset=100", "hreflang": "en-US"}], "numberMatched": 131, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-27T20:19:02.478569Z"}