{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.14056351", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:22:57Z", "type": "Other", "title": "Report on measurements on STEs (D3.2.2)", "description": "EOM4SOIL - Deliverable D3.2.2", "keywords": ["Soil sciences"], "contacts": [{"organization": "Pastorelli, Roberta", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14056351"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14056351", "name": "item", "description": "10.5281/zenodo.14056351", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14056351"}, {"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": {"updated": "2026-04-04T16:22:57Z", "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.14056350", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-04T16:22:57Z", "type": "Report", "title": "Report on measurements on STEs (D3.2.2)", "description": "EOM4SOIL - Deliverable D3.2.2", "keywords": ["Soil sciences"], "contacts": [{"organization": "Pastorelli, Roberta", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14056350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14056350", "name": "item", "description": "10.5281/zenodo.14056350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14056350"}, {"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.14056687", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:57Z", "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.14065209", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:57Z", "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.14065909", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "STEROPES D7.1 - D7.3. Satellite-based (Sentinel-2) soil sampling strategies for SOC estimation at field- and farm-scale", "description": "Report for Task 7.3 SATELLITE-BASED SAMPLING STRATEGIES of the EJPSOIL - STEROPES PROJECT\u00a0  Within this report we will focus on three broad research questions:    Research question 1: Is it possible to reduce the plot-scale (10mx10m) subsampling costs by reducing the number of subsamples currently used in the protocol of the Flemish Cmon monitoring network and used for the original ENVISION sampling campaign (i.e. 16 subsamples), without drastically reducing the precision of the SOC content estimation?  Research question 2 : Can the Sentinel-2 spectral bands (satellite-based) or pre-existing SOC maps (map-based \u2013 here ENVISION PyCaret SOC map for the region of Flanders) provide us with adequate knowledge on topsoil SOC variability at field- and farm-scale to help optimize soil sampling strategies?  Research question 3: Is it possible to meaningfully increase the accuracy of the ENVISION TensorFlow SOC map at field-scale by its local (i.e. farm-scale) calibration?", "keywords": ["sampling", "STEROPES", "Satellite", "EJPSOIL", "SENTINEL2", "soil"], "contacts": [{"organization": "Castaldi, Fabio, Vanderhasselt, Adriaan, Saberioon, Mohammadmehdi, Callens, Bert, Berckvens, Nick, Ilias, Panos, Quataert, Paul, Ruysschaert, Greet, Del Pr\u00e0, Aldo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065909"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065909", "name": "item", "description": "10.5281/zenodo.14065909", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065909"}, {"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.14069146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "Europe scale simulation of reduced fertilization scenarios", "description": "ABSTRACT  \u00a0Soil organic carbon is an effective measure to remove and store CO2 and is one of the few available large-scale CO2 sinks that could help mitigate climate change. The amount of soil organic carbon (SOC) is a balance of the carbon input from plants and organic amendments and the carbon output due to mineralisation. A reduction in N fertilisation, as proposed by the F2F strategy, decreases the plant growth which leads to lower C input in form of above- and belowground harvest residues. Based on estimated yield reductions from WP3 from -20% mineral N fertilisation, we derived the corresponding loss in carbon input and its impact on soil organic carbon after 30 years. European scale simulations were performed for the six major crops wheat, barley, maize, rapeseed, potatoes and sugar beet. Given the lack of data on how/if plant carbon allocation changes under nitrogen reduction, two common allocation functions were applied, each of them coupled to a version of the widely applied soil organic carbon model RothC that has been calibrated with the respective allocation function. The 20% reduction of mineral nitrogen results in mean European SOC losses of 0.9 t per hectare of agricultural land, mainly caused by wheat and rapeseed cultivation due to the big share in agricultural area and high yield reductions, respectively. Czechia (-2.2 t SOC/ha), United Kingdom (-1.7 t SOC/ha) and Slovakia (-1.6 t SOC/ha) suffer the major losses, due to large shares of high-yielding crop in their agricultural areas. The SOC simulations reveal an overall moderate impact of Farm-to-Fork nitrogen reductions on European SOC due to the six major crops. However, in some countries, these crops cover less than 20% of total agricultural land and, therefore, the real impact in these regions will be -much- higher than our results show.", "keywords": ["Nitrogen", "Farm-to-Fork", "Fertilization", "SOC Simulation", "SOC"], "contacts": [{"organization": "Pape, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14069146"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14069146", "name": "item", "description": "10.5281/zenodo.14069146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14069146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.1406992", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "Nom Et/Ou Adjectif ? Quelle Cat\u00e9gorie D'Output Pour Les Suffix\u00e9s En -Iste ?", "description": "Cet article aborde la question de la cat\u00e9gorie des construits morphologiques, en particulier<br> le cas des suffix\u00e9s en -iste. Ceux-ci ont la particularit\u00e9, pour la plupart, d\u2019\u00eatre ambigus du<br> point de vue de la cat\u00e9gorie dans la mesure o\u00f9 ils peuvent \u00eatre noms et/ou adjectifs. Nous<br> montrons qu\u2019il existe deux types de suffix\u00e9s en -iste : les uns sont fondamentalement des<br> noms, les autres sont fondamentalement des adjectifs, qui peuvent n\u00e9anmoins \u00eatre employ\u00e9s<br> comme noms sous certaines conditions. Pour ce dernier cas nous proposons une analyse en<br> termes de coercion.", "keywords": ["[SHS.LANGUE] Humanities and Social Sciences/Linguistics"], "contacts": [{"organization": "Tribout, Delphine, Amiot, Dany,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1406992"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1406992", "name": "item", "description": "10.5281/zenodo.1406992", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1406992"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14065908", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "STEROPES D7.1 - D7.3. Satellite-based (Sentinel-2) soil sampling strategies for SOC estimation at field- and farm-scale", "description": "Report for Task 7.3 SATELLITE-BASED SAMPLING STRATEGIES of the EJPSOIL - STEROPES PROJECT\u00a0  Within this report we will focus on three broad research questions:    Research question 1: Is it possible to reduce the plot-scale (10mx10m) subsampling costs by reducing the number of subsamples currently used in the protocol of the Flemish Cmon monitoring network and used for the original ENVISION sampling campaign (i.e. 16 subsamples), without drastically reducing the precision of the SOC content estimation?  Research question 2 : Can the Sentinel-2 spectral bands (satellite-based) or pre-existing SOC maps (map-based \u2013 here ENVISION PyCaret SOC map for the region of Flanders) provide us with adequate knowledge on topsoil SOC variability at field- and farm-scale to help optimize soil sampling strategies?  Research question 3: Is it possible to meaningfully increase the accuracy of the ENVISION TensorFlow SOC map at field-scale by its local (i.e. farm-scale) calibration?", "keywords": ["sampling", "STEROPES", "Satellite", "EJPSOIL", "SENTINEL2", "soil"], "contacts": [{"organization": "Castaldi, Fabio, Vanderhasselt, Adriaan, Saberioon, Mohammadmehdi, Callens, Bert, Berckvens, Nick, Ilias, Panos, Quataert, Paul, Ruysschaert, Greet, Del Pr\u00e0, Aldo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14065908"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14065908", "name": "item", "description": "10.5281/zenodo.14065908", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14065908"}, {"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.14067757", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Other", "title": "Contribution of the EJP SOIL programme to the Soil Health call for evidence 2022-03-15", "description": "This is a contribution of the EJP SOIL H2020 research programme to the call for evidence launched by the European Commission, within the framework of the EU Soil Strategy, to prepare for a soil health proposal.\u00a0  It assembles different results from this research programme that are relevant to elaborating a soil health law", "keywords": ["Soil sciences", "soil", "policy"], "contacts": [{"organization": "Chenu, Claire", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14067757"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14067757", "name": "item", "description": "10.5281/zenodo.14067757", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14067757"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14069147", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "Europe scale simulation of reduced fertilization scenarios", "description": "ABSTRACT  \u00a0Soil organic carbon is an effective measure to remove and store CO2 and is one of the few available large-scale CO2 sinks that could help mitigate climate change. The amount of soil organic carbon (SOC) is a balance of the carbon input from plants and organic amendments and the carbon output due to mineralisation. A reduction in N fertilisation, as proposed by the F2F strategy, decreases the plant growth which leads to lower C input in form of above- and belowground harvest residues. Based on estimated yield reductions from WP3 from -20% mineral N fertilisation, we derived the corresponding loss in carbon input and its impact on soil organic carbon after 30 years. European scale simulations were performed for the six major crops wheat, barley, maize, rapeseed, potatoes and sugar beet. Given the lack of data on how/if plant carbon allocation changes under nitrogen reduction, two common allocation functions were applied, each of them coupled to a version of the widely applied soil organic carbon model RothC that has been calibrated with the respective allocation function. The 20% reduction of mineral nitrogen results in mean European SOC losses of 0.9 t per hectare of agricultural land, mainly caused by wheat and rapeseed cultivation due to the big share in agricultural area and high yield reductions, respectively. Czechia (-2.2 t SOC/ha), United Kingdom (-1.7 t SOC/ha) and Slovakia (-1.6 t SOC/ha) suffer the major losses, due to large shares of high-yielding crop in their agricultural areas. The SOC simulations reveal an overall moderate impact of Farm-to-Fork nitrogen reductions on European SOC due to the six major crops. However, in some countries, these crops cover less than 20% of total agricultural land and, therefore, the real impact in these regions will be -much- higher than our results show.", "keywords": ["Nitrogen", "Farm-to-Fork", "Fertilization", "SOC Simulation", "SOC"], "contacts": [{"organization": "Pape, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14069147"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14069147", "name": "item", "description": "10.5281/zenodo.14069147", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14069147"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.14070572", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:22:58Z", "type": "Dataset", "title": "Measurements on STEs", "description": "Dataset of field measurement Task 3.2", "keywords": ["Soil sciences"], "contacts": [{"organization": "Pastorelli, Roberta", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14070572"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14070572", "name": "item", "description": "10.5281/zenodo.14070572", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14070572"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.14076347", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "type": "Dataset", "title": "Soil characteristics and spectral reflectance data of six agricultural fields in Switzerland", "description": "Soil characteristics and spectral reflectance data of six agricultural fields in Switzerland collected within the EJP Soil project STEROPES. The data in the .csv files is organized as relational database with the database schema depicted in DB_Schema.pdf. The file headers (marked with #) contain metadata.", "keywords": ["soil organic carbon", "Soil", "STEROPES", "EJPSOIL"], "contacts": [{"organization": "Simmler, Michael, Liebisch, Frank,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14076347"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14076347", "name": "item", "description": "10.5281/zenodo.14076347", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14076347"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14071606", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:22:58Z", "type": "Report", "title": "Trans-European decomposition experiment.", "description": "This is a report of the trans European decompostion experiment conducted as Part of the EJP MIXROOT-C project.", "keywords": ["soil stable isotope"], "contacts": [{"organization": "Hood-Nowotny, Rebecca, Wawra, Anna, Paloj\u00e4rvi, Ansa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14071606"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14071606", "name": "item", "description": "10.5281/zenodo.14071606", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14071606"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.14092313", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "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": {"updated": "2026-04-04T16:22:58Z", "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.14134737", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "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.14134736", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:58Z", "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.14137530", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "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.14137627", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Dataset", "title": "STEROPES_TURKIYE_DATASET", "description": "Two agricultural areas, Dalaman and Kocas , were chosen in T\u00fcrkiye regarding their different climatic conditions, soil characteristics, SOC content, soil and crop management.  Dalaman site is located in the south-western part of T\u00fcrkiye near the Aegean Sea in alluvial deposits. The climate of the region is classified as Hot-summer Mediterranean climate\u00a0(Csa) with an annual precipitation of 1030\u00a0mm and mean temperature of 18.1\u00a0\u00b0C (mean values over the 30\u00a0years period). Common soil type in the study area is Calcaric\u00a0Fluvisols\u00a0(Drainic). In the sampling area both\u00a0corn\u00a0(Zea mays L.)\u00a0-wheat (Triticum aestivum\u00a0L.) or wheat-\u00a0sunflower\u00a0(Helianthus annuus L.) crops are raised in the same year.  Kocas study area is located in the alluvial deposits of the Konya Closed Basin, 30 km southeast of Salt Lake (Tuz G\u00f6l\u00fc). The climate is classified as a Cold semi-arid climate (Bsk) with an average annual precipitation of 362 mm and temperature of 12.2 \u00b0C (mean values over the 30 years period). The common soil types in this area are Calcaric Fluvisols (Drainic) and Eutric Vertisols. The main crops are irrigated corn and wheat with annual rotation.", "keywords": ["STEROPES", "EJPSOIL"], "contacts": [{"organization": "Koparan, Muhammed Halil, K\u0131vrak, Cantekin, Savas, Ayse \u00d6zge, Tuncay, Tulay, Kececi, Mehmet,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14137627"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14137627", "name": "item", "description": "10.5281/zenodo.14137627", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14137627"}, {"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": {"updated": "2026-04-04T16:22:58Z", "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.14137626", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Dataset", "title": "STEROPES_TURKIYE_DATASET", "description": "Two agricultural areas, Dalaman and Kocas , were chosen in T\u00fcrkiye regarding their different climatic conditions, soil characteristics, SOC content, soil and crop management.  Dalaman site is located in the south-western part of T\u00fcrkiye near the Aegean Sea in alluvial deposits. The climate of the region is classified as Hot-summer Mediterranean climate\u00a0(Csa) with an annual precipitation of 1030\u00a0mm and mean temperature of 18.1\u00a0\u00b0C (mean values over the 30\u00a0years period). Common soil type in the study area is Calcaric\u00a0Fluvisols\u00a0(Drainic). In the sampling area both\u00a0corn\u00a0(Zea mays L.)\u00a0-wheat (Triticum aestivum\u00a0L.) or wheat-\u00a0sunflower\u00a0(Helianthus annuus L.) crops are raised in the same year.  Kocas study area is located in the alluvial deposits of the Konya Closed Basin, 30 km southeast of Salt Lake (Tuz G\u00f6l\u00fc). The climate is classified as a Cold semi-arid climate (Bsk) with an average annual precipitation of 362 mm and temperature of 12.2 \u00b0C (mean values over the 30 years period). The common soil types in this area are Calcaric Fluvisols (Drainic) and Eutric Vertisols. The main crops are irrigated corn and wheat with annual rotation.", "keywords": ["STEROPES", "EJPSOIL"], "contacts": [{"organization": "Koparan, Muhammed Halil, K\u0131vrak, Cantekin, Savas, Ayse \u00d6zge, Tuncay, Tulay, Kececi, Mehmet,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14137626"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14137626", "name": "item", "description": "10.5281/zenodo.14137626", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14137626"}, {"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.14141767", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "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.5960686", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:54Z", "type": "Dataset", "title": "LTEP-Biochar", "description": "The dataset inventories and compares experiments regarding on field application of biochar for agronomic purposes and its environmental effects (<em>e.g.</em> carbon sequestration) over a significative timeframe. Remediation of polluted soils is not in scope. The field experiments shall take place under dynamically, meteorologically and biologically complex conditions. We are mapping activities across Europe, North Africa and the Middle East (see the Highlights box here below). The LTEP project is an ICHAR initiative implemented and managed by the EMRG group of the University of Bologna.", "keywords": ["Biochar", "Soil Organic Carbon", "13. Climate action", "Long Term", "Biochar", " Soil Organic Carbon", " long term", " field experiment", "Field Experiment", "15. Life on land"], "contacts": [{"organization": "Diego Marazza, Daniele Tigrini, Carlotta Carlini, Nicolas Greggio, Simone Pesce, Enrico Balugani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5960686"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5960686", "name": "item", "description": "10.5281/zenodo.5960686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5960686"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14142840", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Report", "title": "Detailed case study: assess impact of less livestock and change in diet on soil organic carbon", "description": "In this study, the impact of an adjustment in the composition of cattle feed on the soil organic carbon stocks in Flanders (Belgium) was investigated. Silage maize is the most common fodder crop, and even the most common crop cultivated in Flanders. However, silage maize does not have a high contribution to the SOC storage in arable soils compared to some other crops, such as cereals and fodder legumes. In this study, we have investigated the impact on SOC stocks of replacing silage maize by \u00a0winter barley, with\u00a0 straw residues removed after harvest, on 10% of the parcels where it is currently cultivated. The impact of the shift in fodder crops was simulated with a Roth-C based model. The Belgian Soil Organic Carbon Calculator (BeSOCC) integrates the Roth-C model, with an approach for the initialisation and the calculation of carbon inputs by crops and fertilization developed specifically for Belgium, Flanders that builds further on earlier work for developing a digital decision support tool for farmers to simulate the evolution of the SOC in arable land. The scenario was compared with a business-as-usual (BAU) scenario. The BAU scenario was developed based on the management data of 5 years (2018-2022). Due to missing crop and fertilization data, simulations could be performed for 52.3% of the arable fields. The simulations were performed at parcel-level and afterwards aggregated to NUTS3 level. The results indicate that an increase of the SOC storage will occur in all NUTS3 areas if there is a shift in the fodder crops. This increase is on average 0.013 Mg C. ha-1. Yr-1 and ranges between 0.003 and 0.025 Mg C. ha-1. Yr-1 .", "keywords": ["Roth-C model", "SOC simulation", "carbon sequestration"], "contacts": [{"organization": "Mertens, Kaat", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14142840"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14142840", "name": "item", "description": "10.5281/zenodo.14142840", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14142840"}, {"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.14150971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "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.14160616", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Report", "title": "Agrarian landscape characterization and indicators for the identification of the attributes that can affect the application of soil-based agroecological measures in Spain, Italy, Czech Republic, Poland, Lithuania, Latvia and Turkey.", "description": "This report explores the complex interaction between the agricultural environment and the implementation of soil-based agroecological measures in a transect of the European Union (Spain, Italy, Czech Republic Republic, Poland, Lithuania and Latvia) and in Turkey, which is crucial to the broader scope of the Into-DIALOGUE project [More than a Dialogue between actors, seeking the integration of soil-based principles in agroecological systems]. The core value of Into-DIALOGUE is rooted in the collaborative efforts among farmers, scientists, policymakers, and other relevant stakeholders, aiming to create a conducive environment for sustainable agricultural practices.", "keywords": ["Soil sciences", "Agroecological practices", "soil-based agroecological measures", "Agroecology"], "contacts": [{"organization": "Asins-Velis, Sabina, \u00dcn, Akin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14160616"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14160616", "name": "item", "description": "10.5281/zenodo.14160616", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14160616"}, {"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.14161809", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Dataset", "title": "SensRes dataset for downscaling soil maps", "description": "This dataset contains soil information and sensor data from agricultural fields in Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey to downscale coarse-resolution maps to high resolution in the SensRes project (EJP SOIL).  \u00a0It includes 1455 soil samples with data on soil organic carbon and soil texture fractions (clay, silt, and sand). For each sampling site, the dataset also contains rasters of Sentinel-2 bare soil images, aerial images (RGB), and maps from Electromagnetic Induction and Gamma sensors. The soil data is provided in .txt file format, while the sensor data is available in .tif format. There are also shapefiles from each field in .shp format.\u00a0  The SensRes project developed a framework for downscaling soil maps, which was published as an R package (https://github.com/anbm-dk/soilscaler/tree/main), and this dataset contains the required local inputs to apply the downscaling process. Part of the soil information present in this dataset has also been used in the STEROPES EJP SOIL project.", "keywords": ["soil organic carbon", "STEROPES", "SensRes", "High resolution maps", "Sentinel 2", "soil texture"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, Volungevi\u010dius, Jonas, Kavaliauskas, Ardas, van Egmond, Fenny, Kramer, Henk, Teuling, Kees, \u00c7inkaya, \u0130smail, Greve, Mogens H,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14161809"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14161809", "name": "item", "description": "10.5281/zenodo.14161809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14161809"}, {"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.14143563", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "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.14160615", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Report", "title": "Agrarian landscape characterization and indicators for the identification of the attributes that can affect the application of soil-based agroecological measures in Spain, Italy, Czech Republic, Poland, Lithuania, Latvia and Turkey.", "description": "This report explores the complex interaction between the agricultural environment and the implementation of soil-based agroecological measures in a transect of the European Union (Spain, Italy, Czech Republic Republic, Poland, Lithuania and Latvia) and in Turkey, which is crucial to the broader scope of the Into-DIALOGUE project [More than a Dialogue between actors, seeking the integration of soil-based principles in agroecological systems]. The core value of Into-DIALOGUE is rooted in the collaborative efforts among farmers, scientists, policymakers, and other relevant stakeholders, aiming to create a conducive environment for sustainable agricultural practices.", "keywords": ["Soil sciences", "Agroecological practices", "soil-based agroecological measures", "Agroecology"], "contacts": [{"organization": "Asins-Velis, Sabina, \u00dcn, Akin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14160615"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14160615", "name": "item", "description": "10.5281/zenodo.14160615", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14160615"}, {"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.14161808", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Dataset", "title": "SensRes dataset for downscaling soil maps", "description": "This dataset contains soil information and sensor data from agricultural fields in Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey to downscale coarse-resolution maps to high resolution in the SensRes project (EJP SOIL).  \u00a0It includes 1455 soil samples with data on soil organic carbon and soil texture fractions (clay, silt, and sand). For each sampling site, the dataset also contains rasters of Sentinel-2 bare soil images, aerial images (RGB), and maps from Electromagnetic Induction and Gamma sensors. The soil data is provided in .txt file format, while the sensor data is available in .tif format. There are also shapefiles from each field in .shp format.\u00a0  The SensRes project developed a framework for downscaling soil maps, which was published as an R package (https://github.com/anbm-dk/soilscaler/tree/main), and this dataset contains the required local inputs to apply the downscaling process. Part of the soil information present in this dataset has also been used in the STEROPES EJP SOIL project.", "keywords": ["soil organic carbon", "STEROPES", "SensRes", "High resolution maps", "Sentinel 2", "soil texture"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, Volungevi\u010dius, Jonas, Kavaliauskas, Ardas, van Egmond, Fenny, Kramer, Henk, Teuling, Kees, \u00c7inkaya, \u0130smail, Greve, Mogens H,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14161808"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14161808", "name": "item", "description": "10.5281/zenodo.14161808", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14161808"}, {"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": {"updated": "2026-04-04T16:22:59Z", "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.5987415", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:54Z", "type": "Dataset", "title": "Synthesis data for manuscript: Global stocks and capacity of mineral-associated soil organic carbon", "description": "Supporting synthesis data for manuscript: Georgiou K., Jackson R. B., Vindu\u0161kov\u00e1 O., Abramoff R. Z., Ahlstr\u00f6m A., Feng W., Harden J. W., Pellegrini A. F. A., Polley H. W., Soong J. L., Riley W. J., Torn M. S. Global stocks and capacity of mineral-associated soil organic carbon. <em>Nature Communications</em>, 2022. We performed an observational synthesis of soil fractionation data constituting 1,144 globally-distributed soil profiles from 78 studies that reported fractionation and bulk measurements of organic carbon across depths. This dataset includes measurements of mineral-associated, particulate, and bulk soil organic carbon, as well as ancillary data on edaphic, climate, and vegetation characteristics. We also performed a separate observational synthesis of soil carbon accrual from manipulation and chronosequence studies, which included changes in carbon stocks or concentrations, bulk density, experimental duration, and edaphic properties. This latter synthesis included 103 observations from 34 studies that spanned crop, pasture, grassland, and forest ecosystems across climates and soil types. Further details for both syntheses can be found in the methods and supplementary materials of the associated manuscript.", "keywords": ["2. Zero hunger", "mineral-associated organic matter", "biogeochemistry", "soil organic matter", "15. Life on land", "carbon storage", "soil fractions", "particulate organic matter"], "contacts": [{"organization": "Georgiou, Katerina, Jackson, Robert B., Vindu\u0161kov\u00e1, Olga, Abramoff, Rose Z., Ahlstr\u00f6m, Anders, Feng, Wenting, Frouz, Jan, Harden, Jennifer W., Pellegrini, Adam. F. A., Polley, H. Wayne, Soong, Jennifer L., Riley, William J., Torn, Margaret S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5987415"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5987415", "name": "item", "description": "10.5281/zenodo.5987415", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5987415"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14164813", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Report", "title": "Developing Policies for Soil-Based Sustainable Agroecological Systems: Insights from the farmers' perspectives", "description": "The report provides the main results of the \u201cParticipatory processes to involve farmers in the formulation of policies on soil-based Sustainable Agroecological Systems\u201d. It follows the \u201cSoil-based agroecological policies and measures analysis\u201d (https://doi.org/10.5281/zenodo.14161451), which provided a comprehensive assessment of existing policies and measures dealing with agricultural sustainability while considering agroecological principles in the study regions where the project partners operate (Spain, Italy, Czech Republic, Poland, Lithuania, Latvia and Turkey).", "keywords": ["Soil sciences", "Soil-based agroeological practices", "Political sciences", "Agroecology"], "contacts": [{"organization": "\u00dcn, Akin, Dara Guccione, Giovanni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14164813"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14164813", "name": "item", "description": "10.5281/zenodo.14164813", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14164813"}, {"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.14168069", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:22:59Z", "type": "Report", "title": "Framework for on-farm monitoring of the impact of AE systems on soil quality and soil ecosystem services", "description": "The ARTEMIS project aimed to provide a better understanding of how specific agroecological systems affect soil's ability to mitigate and abate the consequences of climate change. The WP5 \u2013 Framework for AE (lighthouse) farm network on soil quality and ecosystem services \u2013 aimed to develop and test, on a network of farms, a framework for on-farm monitoring of the impact of diverse AE systems on soil quality and soil related ecosystem services (ESS).\u00a0\u00a0     The objective of this report (D5.1) is to provide a monitoring plan with a set of indicators and tools to be used for on-farm monitoring of soil quality and soil-related ESS in diverse AE farms. This protocol and its indicators, parameters, and methods were revised and updated according to the feedback from the land users and results obtained during its use in the field.", "keywords": ["EJPSOIL", "Soil health", "on-farm monitoring", "Ecosystem services", "agroecolgy"], "contacts": [{"organization": "Panagea, Ioanna S., Vanderhasselt, Adriaan, Willekens, Koen, Walder, Florian, Stefanova, Milena, Prieto Fern\u00e1ndez, \u00c1ngeles, Ruysschaert, Greet,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14168069"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14168069", "name": "item", "description": "10.5281/zenodo.14168069", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14168069"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "20.500.11850/542333", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:54Z", "type": "Journal Article", "created": "2022-03-09", "title": "Improving Soil Resource Uptake by Plants Through Capitalizing on Synergies Between Root Architecture and Anatomy and Root-Associated Microorganisms", "description": "<p>Root architectural and anatomical phenotypes are highly diverse. Specific root phenotypes can be associated with better plant growth under low nutrient and water availability. Therefore, root ideotypes have been proposed as breeding targets for more stress-resilient and resource-efficient crops. For example, root phenotypes that correspond to the Topsoil Foraging ideotype are associated with better plant growth under suboptimal phosphorus availability, and root phenotypes that correspond to the Steep, Cheap and Deep ideotype are linked to better performance under suboptimal availability of nitrogen and water. We propose that natural variation in root phenotypes translates into a diversity of different niches for microbial associations in the rhizosphere, rhizoplane and root cortex, and that microbial traits could have synergistic effects with the beneficial effect of specific root phenotypes. Oxygen and water content, carbon rhizodeposition, nutrient availability, and root surface area are all factors that are modified by root anatomy and architecture and determine the structure and function of the associated microbial communities. Recent research results indicate that root characteristics that may modify microbial communities associated with maize include aerenchyma, rooting angle, root hairs, and lateral root branching density. Therefore, the selection of root phenotypes linked to better plant growth under specific edaphic conditions should be accompanied by investigating and selecting microbial partners better adapted to each set of conditions created by the corresponding root phenotype. Microbial traits such as nitrogen transformation, phosphorus solubilization, and water retention could have synergistic effects when correctly matched with promising plant root ideotypes for improved nutrient and water capture. We propose that elucidation of the interactive effects of root phenotypes and microbial functions on plant nutrient and water uptake offers new opportunities to increase crop yields and agroecosystem sustainability.</p", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "microbial habitat", "Plant culture", "Plant Science", "15. Life on land", "soil resource acquisition", "SB1-1110", "endosphere and rhizosphere", "03 medical and health sciences", "root anatomy and architecture; soil resource acquisition; endosphere and rhizosphere; microbial habitat; agriculture", "root anatomy and architecture", "agriculture"]}, "links": [{"href": "https://doi.org/20.500.11850/542333"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/542333", "name": "item", "description": "20.500.11850/542333", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/542333"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-09T00:00:00Z"}}, {"id": "10.5281/zenodo.14169022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:00Z", "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.14169603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:00Z", "type": "Report", "title": "Comprehensive literature review on existing data on the basic soil properties in order to implement sustainable agricultural practices.", "description": "The report provides some insights into the assessments of relations between agroecological practices and soil quality available in literature of seven participating countries (Italy, Poland, Spain, Czech Republic, Latvia, Lithuania and Turkey) in the Into-DIALOGUE project. The focus is on the response of soil quality parameters (and related soil ecosystem services) most frequently investigated within literature, in Long Term Field Experiments, in relation to agroecological practices in each country.", "keywords": ["Soil ecosystem services", "Soil sciences", "Agroecological practices", "Long-Term Experiments", "Agroecology", "Soil quality"], "contacts": [{"organization": "Maienza, Anita, Buttafuoco, Gabriele,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14169603"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14169603", "name": "item", "description": "10.5281/zenodo.14169603", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14169603"}, {"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.14170112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:00Z", "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": {"updated": "2026-04-04T16:23:00Z", "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.14170711", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-04T16:23:00Z", "type": "Report", "title": "One year into the Mission Soil: key takeaways and recommendations for the Living Lab community", "description": "This publication is a collaborative effort by the SOILL-Startup and NATI00NS projects, highlighting key findings and recommendations gathered during two sessions on the Mission \u201cA Soil Deal for Europe.\u201d These sessions were co-organised by the projects at the OpenLivingLab Days 2024 conference in Timi\u0219oara, Romania (24-27 September 2024). Funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.", "keywords": ["Soil sciences"], "contacts": [{"organization": "Campodonico, Giulia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170711"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170711", "name": "item", "description": "10.5281/zenodo.14170711", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170711"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-18T00:00:00Z"}}, {"id": "10.5281/zenodo.14171926", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:00Z", "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": "10182/14566", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:03Z", "type": "Journal Article", "created": "2019-07-23", "title": "An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change", "description": "From an environmental perspective optimised dairy systems, which follow current regulations, still have low nitrogen (N) use efficiency, high N surplus (kg N ha-1) and enable ad-hoc delivery of direct and indirect reactive N losses to water and the atmosphere. The objective of the present study was to divide an intensive dairy farm into N attenuation capacity areas based on this ad-hoc delivery. Historical and current spatial and temporal multi-level data- sets (stable isotope and dissolved gas) were combined and interpreted. Results showed that the farm had four distinct attenuation areas: high N attenuation: characterised by ammonium-N (NH4+-N) below 0.23 mg NH4+-N l-1 and nitrate (NO3--N) below 5.65 mg NO3-- N l-1 in surface, drainage and groundwater, located on imperfectly to moderately-well drained soils with high denitrification potential and low nitrous oxide (N2O) emissions (av. 0.0032 mg N2O-N l-1); moderate N attenuation: characterised by low NO3--N concentration in drainage water but high N2O production (0.0317 mg N2O-N l-1) and denitrification potential lower than group 1 (av. \u03b415N-NO3-: 16.4 , av. \u03b418O-NO3-: 9.2 ), on well to moderately drained soils; low N attenuation area 1: characterised by high NO3--N (av. 6.90 mg NO3--N l-1) in drainage water from well to moderately-well drained soils, with low denitrification potential (av. \u03b415N-NO3-: 9.5 , av. \u03b418O-NO3-: 5.9 ) and high N2O emissions (0.0319 mg N2O l-1); and low N attenuation area 2: characterised by high NH4+-N (av. 3.93 mg NH4+-N l-1 and high N2O emissions (av. 0.0521 mg N2O l-1) from well to imperfectly drained soil. N loads on site should be moved away from low attenuation areas and emissions to air and water should be assessed.", "keywords": ["dairy systems", "Farms", "Time Factors", "550", "Nitrogen", "Science", "Nitrous Oxide", "management change", "Oxygen Isotopes", "01 natural sciences", "Permeability", "nitrogen", "dissimilatory nitrate reduction to ammonium", "soil", "Dairy system", "Soil", "Isotopes", "Waste Management", "Oxygen Radioisotopes", "Ammonium Compounds", "0105 earth and related environmental sciences", "2. Zero hunger", "Nitrates", "Geography", "Stable Isotopes", "Q", "R", "Water", "Agriculture", "15. Life on land", "nitrification", "6. Clean water", "Management", "DNRA", "Dairying", "Milk", "Slurries", "13. Climate action", "Denitrification", "Medicine", "Intensive", "Research Article"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/148308/8/journal.pone.0219479.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/956826/2/document.pdf"}, {"href": "https://doi.org/10182/14566"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10182/14566", "name": "item", "description": "10182/14566", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10182/14566"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-23T00:00:00Z"}}, {"id": "10.5281/zenodo.14184825", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:01Z", "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": "10072/409703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:01Z", "type": "Journal Article", "created": "2021-10-11", "title": "Have farmers had enough of experts?", "description": "Abstract<p>The exponential rise of information available means we can now, in theory, access knowledge on almost any question we ask. However, as the amount of unverified information increases, so too does the challenge in deciding which information to trust. Farmers, when learning about agricultural innovations, have historically relied on in-person advice from traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, such as agricultural advisers, to inform farm management. As more farmers go online for information, it is not clear whether they are now using digital information to corroborate in-person advice from traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, or if they are foregoing \uffe2\uff80\uff98expert\uffe2\uff80\uff99 advice in preference for peer-generated information. To fill this knowledge gap, we sought to understand how farmers in two contrasting European countries (Hungary and the UK) learnt about sustainable soil innovations and who influenced them to innovate. Through interviews with 82 respondents, we found farmers in both countries regularly used online sources to access soil information; some were prompted to change their soil management by farmer social media \uffe2\uff80\uff98influencers\uffe2\uff80\uff99. However, online information and interactions were not usually the main factor influencing farmers to change their practices. Farmers placed most trust in other farmers to learn about new soil practices and were less trusting of traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, particularly agricultural researchers from academic and government institutions, who they believed were not empathetic towards farmers\uffe2\uff80\uff99 needs. We suggest that some farmers may indeed have had enough of traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, instead relying more on their own peer networks to learn and innovate. We discuss ways to improve trustworthy knowledge exchange between agricultural stakeholders to increase uptake of sustainable soil management practices, while acknowledging the value of peer influence and online interactions for innovation and trust building.</p", "keywords": ["Soil management", "S1", "Farms", "land and farm management", "social media", "0211 other engineering and technologies", "02 engineering and technology", "HM", "Trust", "Article", "Social media", "Soil", "Humans", "Innovation", "SDG 15 - Life on Land", "2. Zero hunger", "Farmers", "Social learning", "Sustainable agriculture", "trust", "Agriculture", "04 agricultural and veterinary sciences", "technology adoption", "15. Life on land", "innovation", "sustainable agriculture", "Europe", "social learning", "306", "0401 agriculture", " forestry", " and fisheries", "soil management", "Technology adoption"]}, "links": [{"href": "https://eprints.glos.ac.uk/10244/1/10244-Ingram-%282021%29-Have-farmers-had-enough-of-experts.pdf"}, {"href": "https://acuresearchbank.acu.edu.au/download/b54f4bab4eb56b409a0e6838d25d36dd473ff1009b4f3e71f789cf755eddd484/893000/OA_Rust_2022_Have_farmers_had_enough_of_experts.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s00267-021-01546-y.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=277605/316B30B8-0A50-4408-9BDB-BC4CF385C785.pdf&pub_id=277605"}, {"href": "https://doi.org/10072/409703"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10072/409703", "name": "item", "description": "10072/409703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10072/409703"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-11T00:00:00Z"}}, {"id": "10.5281/zenodo.14184826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:01Z", "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": "10259/9505", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:04Z", "type": "Journal Article", "created": "2024-03-22", "title": "Bioaugmentation and vermicompost facilitated the hydrocarbon bioremediation: scaling up from lab to field for petroleum-contaminated soils", "description": "Abstract                   <p>The biodegradation of total petroleum hydrocarbon (TPH) in soil is very challenging due to the complex recalcitrant nature of hydrocarbon, hydrophobicity, indigenous microbial adaptation and competition, and harsh environmental conditions. This work further confirmed that limited natural attenuation of petroleum hydrocarbons (TPHs) (15% removal) necessitates efficient bioremediation strategies. Hence, a scaling-up experiment for testing and optimizing the use of biopiles for bioremediation of TPH polluted soils was conducted with three 500-kg pilots of polluted soil, and respective treatments were implemented: including control soil (CT), bioaugmentation and vermicompost treatment (BAVC), and a combined application of BAVC along with bioelectrochemical snorkels (BESBAVC), all maintained at 40% field capacity. This study identified that at pilot scale level, a successful application of BAVC treatment can achieve 90.3% TPH removal after 90 days. BAVC\uffe2\uff80\uff99s effectiveness stemmed from synergistic mechanisms. Introduced microbial consortia were capable of TPH degradation, while vermicompost provided essential nutrients, enhanced aeration, and, potentially, acted as a biosorbent. Hence, it can be concluded that the combined application of BAVC significantly enhances TPH removal compared to natural attenuation. While the combined application of a bioelectrochemical snorkel (BES) with BAVC also showed a significant TPH removal, it did not differ statistically from the individual application of BAVC, under applied conditions. Further research is needed to optimize BES integration with BAVC for broader applicability. This study demonstrates BAVC as a scalable and mechanistically sound approach for TPH bioremediation in soil.</p", "keywords": ["Qu\u00edmica agr\u00edcola", "Bioqu\u00edmica", "0301 basic medicine", "vermicompost", "Passive bioelectrochemical systems", "Contaminaci\u00f3n", "passive bioelectrochemical systems", "Biolog\u00eda y Biomedicina / Biolog\u00eda", "Pollution", "Biochemistry", "01 natural sciences", "Hydrocarbons", "Advances in Environmental Biotechnology and Engineering", "Microbial consortium", "03 medical and health sciences", "Agricultural chemistry", "Bioaugmentation", "microbial consortium", "hydrocarbons", "Vermicompost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10259/9505"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/9505", "name": "item", "description": "10259/9505", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/9505"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14224520", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:02Z", "type": "Report", "title": "How to design sustainable business models: A research integrated protocol", "description": "Case Studies, Living Labs, Lighthouses, innovation platforms, etc.) in identifying and designingsustainable business model solutions to shared social, ecological, and economic challenges.The protocol, which supports the development of sustainable business models, guides thereaders through the four main stages: initiating, learning, strategizing, and reflecting. Byfollowing the activities outlined in these stages, initiatives will 1) begin joint activity and definethe scope of their initiative, 2) take part in collective sense-making activities, 3) envision andstrategize how to create economic, social, and environmental value, and 4) assess and, asnecessary, revise the activities to adapt and develop continually. 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