{"type": "FeatureCollection", "features": [{"id": "10.15454/SVDTOU", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Statistiques spatio-temporelles sur les propri\u00e9t\u00e9s agronomiques des sols agricoles en France issues de la Base de Donn\u00e9es d'Analyses de Terre (BDAT)", "description": "In France, farmers commission about 250,000 soil-testing analyses per year to assist them managing soil fertility. The number and diversity of origin of the samples make these analyses an interesting and original information source regarding cultivated topsoil variability. Moreover, these analyses relate to several parameters strongly influenced by human activity (macronutrient contents, pH...), for which existing cartographic information is not very relevant. Compiling the results of these analyses into a database makes it possible to re-use these data within both a national and temporal framework. A database compilation relating to data collected over the period 1990-2014 has been recently achieved. So far, commercial soil-testing laboratories approved by the Ministry of Agriculture have provided analytical results from more than 3,600,000 samples. After the initial quality control stage, analytical results from more than 1,900,000 samples were available in the database. The anonymity of the landholders seeking soil analyses is perfectly preserved, as the only identifying information stored is the location of the nearest administrative city to the sample site. We present in this dataset a set of statistical parameters of the spatial distributions for several agronomic soil properties. These statistical parameters are calculated for 4 different nested spatial entities (administrative areas: e.g. regions, departments, counties and agricultural areas) and for 5 time periods (1990-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2014). Two kinds of agronomic soil properties are available: the first one correspond to the quantitative variables like the organic carbon content, and the second one corresponds to the qualitative variables like the texture class. For each spatial unit and temporal period, we calculated the following statistics sets: the first set is calculated for the quantitative variables and corresponds to the number of samples, the mean, the standard deviation and, the 2-,4-,10-quantiles; the second set is calculated for the qualitative variables and corresponds to the number of samples, the value of the dominant class, the number of samples of the dominant class, the second dominant class, the number of samples of the second dominant class.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "soil texture", "15. Life on land", "soil analysis", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Lemercier, Blandine, Arrouays, Dominique, Walter, Christian, Gouny, Laetitia, Swidersky, Chlo\u00e9, Toutain, Beno\u00eet, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/SVDTOU"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/SVDTOU", "name": "item", "description": "10.15454/SVDTOU", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/SVDTOU"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/fupob8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.1 \u201cThe Network map and dialogue\u201d", "description": "This report shows the first stock-take of research networks and projects plus user guidance and is available for further future updating. It provides for (inter)relationship among and across networks identifying the relevant issues and participants.", "keywords": ["Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "Geosciences"], "contacts": [{"organization": "Verhagen, Jan, Arias-Navarro, Cristina, Keesstra, Saskia, Kuikman, Peter, Smith, Pete, Soussana, Jean-Fran\u00e7ois,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/fupob8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/fupob8", "name": "item", "description": "10.15454/fupob8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/fupob8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/hwrhhx", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", "description": "Open AccessThis dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in existing monitoring schemes throughout Europe. A standard Excel spreadsheet was sent to Landmark consortium members and contacts from 18 European countries requesting detailed information on national SMNs (including long-te", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Soil functions; soil; management; climate;", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Van Leeuwen, Jeroen P., Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/hwrhhx"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/hwrhhx", "name": "item", "description": "10.15454/hwrhhx", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/hwrhhx"}, {"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": "10.15454/9RDHIN", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French soil samples near infrared spectroscopy measurements and associated physico-chemical reference analysis.", "description": "This dataset presents near infrared spectra of soil samples from the experimental INRAE stations of the CAREX network including Auzeville, Epoisses, Crouel, Theix, Lusignan, Lusignan_Oasys and Ploudaniel sites (n=1040). Spectra data were acquired using a near infrared spectrometer BUCHI at Laboratoire d'Analyses des sols (LAS), Arras. The granulometric fractions and chemical properties measurements are available with their uncertainties. The tables of NIR spectra and chemical analysis and granulometry of soils from Is\u00e8re (n=28) and from Plaine_de_Versailles (n=99) locations were added. The details of the transformed NIR spectra table of Plaine_de_Versailles are available at https://doi.org/10.15454/LXKFAS.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Chemistry and chemical engineering", "Chemiometrics", "15. Life on land", "Construction Engineering and Architecture", "Chemistry", "Soil", "Engineering", "Earth and Environmental Sciences", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Near Infrared spectroscopy"], "contacts": [{"organization": "Thoisy, Jeanne, Mistou, Marie-Noel, Latrille, Eric, Etayo, Amandine, Rossard, Virginie, Fouad, Youssef, Girardin, Cyril, Gog\u00e9, Fabien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/9RDHIN"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/9RDHIN", "name": "item", "description": "10.15454/9RDHIN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/9RDHIN"}, {"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": "10.15454/KMNR6R", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Depth distribution of soil carbon age inferred from natural 13C labelling meta-analysis", "description": "Depth profiles soil organic carbon turnover estimated by the natural 13C labelling technique. Data have been collected from published articles plus original data (meta-analysis). Dataset contains raw primary data, calculated data and ancillary information analysed and generated during the study: 'Atmosphere-soil carbon transfer as a function of soil depth'", "keywords": ["carbon 13", "Earth and Environmental Science", "Climate", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "stable carbon isotopes", "Biodiversity and Ecology", "carbon cycle", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Biospheric Sciences", "meta-analysis", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences", "meta analysis"], "contacts": [{"organization": "Balesdent, Jerome, Basile-Doelsch, Isabelle, Chadoeuf, Jo\u00ebl, Cornu, Sophie, Derrien, Delphine, Fekiacova, Zuzana, Hatt\u00e9, Christine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/KMNR6R"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/KMNR6R", "name": "item", "description": "10.15454/KMNR6R", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/KMNR6R"}, {"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": "10.15454/J9H4BS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Biogeography of soil bacteria and archaea across France", "description": "These data concern the study 'Biogeography of soil bacteria and archaea across France' Karimi B, Terrat S, Dequiedt S, Saby NPA, Horrigue W, Leli\u00e8vre M, Nowak V, Jolivet C, Arrouays D, Wincker P, Cruaud C, Bispo A, Maron PA, Bour\u00e9 NCP, Ranjard L. Sci Adv. 2018 Jul 4;4(7):eaat1808. doi: 10.1126/sciadv.aat1808 and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties, observations on land use, and coordinates. We warn the user that coordinates published here are not the right coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "silt", "Earth and Environmental Science", "cation exchange capacity", "Evapotranspiration", "Soils and soil sciences", "pH", "land use", "clay", "sand", "15. Life on land", "6. Clean water", "soil", "air temperature", "soil organic carbon", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "calcium carbonate", "phosphorus content", "Environmental Research", "Natural Sciences", "Geosciences", "altitude"], "contacts": [{"organization": "Saby, Nicolas, Boulonne, Line, Rati\u00e9, C\u00e9line, Arrouays, Dominique, Chenu, Jean-Philippe, Toutain, Beno\u00eet, Bispo, Antonio, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/J9H4BS"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/J9H4BS", "name": "item", "description": "10.15454/J9H4BS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/J9H4BS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/JCONRJ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "National soil carbon stock map integrated into FAO's global map", "description": "La carte de la France m\u00e9tropolitaine (hors Corse) des stocks de carbone dans les sols a \u00e9t\u00e9 pr\u00e9par\u00e9e par l\u2019INRA dans le cadre d\u2019un exercice mondial pilot\u00e9 par le Partenariat Mondial sur les Sols h\u00e9berg\u00e9 par l\u2019Organisation des Nations-Unies pour l\u2019alimentation et l\u2019agriculture, la FAO. La carte ainsi produite, en suivant les sp\u00e9cifications d\u00e9cid\u00e9es par cette instance, a \u00e9t\u00e9 int\u00e9gr\u00e9e \u00e0 la carte mondiale des stocks de carbone. Elle exploite une pr\u00e9c\u00e9dente production r\u00e9alis\u00e9e dans le cadre du programme Global Soil Map (Mulder et al. 2016) et r\u00e9sulte d\u2019un travail de cartographie num\u00e9rique par mod\u00e9lisation r\u00e9alis\u00e9 \u00e0 partir des donn\u00e9es ponctuelles issues des deux programmes nationaux IGCS et RMQS du GIS Sol. La carte transmise \u00e0 la FAO estime sur une grille de 1 km de r\u00e9solution les stocks de carbone sur 30 cm. Elle fournit des indications pr\u00e9cieuses quant \u00e0 la distribution spatiale et la variabilit\u00e9 des stocks de carbone dans les sols fran\u00e7ais, avec toutefois des zones o\u00f9 les estimations pr\u00e9sentent de forts niveaux d\u2019incertitude, notamment en r\u00e9gion montagneuse. Ce travail confirme les pr\u00e9c\u00e9dentes publications nationales puisque les stocks les plus faibles sont observ\u00e9s en Languedoc-Roussillon (r\u00e9gion fortement viticole et caract\u00e9ris\u00e9e par un climat chaud et des sols peu \u00e9pais) et dans quelques zones de culture tr\u00e8s intensive (Beauce Chartraine, Nord). Les stocks de carbone faibles \u00e0 moyens (40-50 t/ha) sont caract\u00e9ristiques des sols des grandes plaines de culture intensive de France ainsi que des sols limoneux comme, par exemple, le grand Bassin parisien, une partie du Bassin aquitain, le Toulousain et le sillon Rhodanien. Les stocks de carbone moyennement \u00e9lev\u00e9s (50-70 t/ha) sont caract\u00e9ristiques des grandes r\u00e9gions foresti\u00e8res ou fourrag\u00e8res de France (Bretagne, Est, Massif central, Normandie) et les stocks de carbone les plus \u00e9lev\u00e9s correspondent \u00e0 des situations climatiques (sols situ\u00e9s en altitude), min\u00e9ralogiques (sols volcaniques du Massif central) ou hydriques extr\u00eames (marais de l\u2019Ouest, delta du Rh\u00f4ne).", "keywords": ["Earth and Environmental Science", "effet de serre", "horizons de surface", "sol", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "France", "carbone", "Environmental Research", "Natural Sciences", "stock de carbone organique", "Geosciences"], "contacts": [{"organization": "Martin, Manuel", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/JCONRJ"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/JCONRJ", "name": "item", "description": "10.15454/JCONRJ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/JCONRJ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/OAXQX8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Compilation of data on soil organic carbon stocks and N2O emissions from published long term  fields trials", "description": "Open AccessThis dataset was produced within the Landmark project to assess the accuracy of the DEXI climate regulation model. This was done by simulating the response of the soil organic carbon stock or N2O emissions from agricultural soils in long-term experiments (LTEs) and comparing the model outcomes to reported changes. LTEs were chosen because they facilitate the assessment of a range of different management practices on the component parts of the climate regulation function over a decadal timescale. The geographical location of the LTEs was limited to Europe, since the model has been developed specifically to make simulations across Europe. For this purpose, the database constructed by Sand\u00e9n et al. (2018) was used. This database contains publications on 251 European LTEs in which the effect of alternative management practices on soil quality were assessed. From these, 78 LTEs reported on changes in SOC stocks and 40 reported on changes in N2O emission or NO3- leaching. A large portion of these LTEs studied the effect of tillage (n = 18 for N2O, n = 33 for C stocks). As the effect of tillage on these soil properties has been summarized in multiple meta-studies, it was chosen not to run all these studies separately by the model, but instead, model performance was assessed based on these meta-analyses (Luo et al., 2010; Powlson et al., 2014). After excluding studies on the effect of tillage and studies using parameters that are not simulated by the model, the number of studies we retained to test the model was 6 for N2O emissions, 2 for NO3- leaching and 12 for changes in SOC stocks. This includes one additional study on NO3- leaching (Hansen and Djurhuus, 1997) and one on C sequestration (Spiegel et al., 2018) that were added to the dataset. (2019-04-01) Hansen, E. M., and Djurhuus, J. (1997). Nitrate leaching as influenced by soil tillage and catch crop. Soil Tillage Res. 41, 203\u2013219. doi:10.1016/S0167-1987(96)01097-5. Luo, Z., Wang, E., and Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224\u2013231. doi:10.1016/j.agee.2010.08.006. Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., et al. (2014). Limited potential of no-till agriculture for climate change mitigation. Nat. Clim. Chang. 4, 678\u2013683. doi:10.1038/nclimate2292. Sand\u00e9n, T., Spiegel, H., St\u00fcger, H.-P., Schlatter, N., Haslmayr, H.-P., Zavattaro, L., et al. (2018). European long-term field experiments: knowledge gained about alternative management practices. Soil Use Manag. 34, 167\u2013176. doi:10.1111/sum.12421. Spiegel, H., Sand\u00e9n, T., Dersch, G., Baumgarten, A., Gr\u00fcndling, R., and Franko, U. (2018). \u201cSoil Organic Matter and Nutrient Dynamics Following Different Management of Crop Residues at Two Sites in Austria,\u201d in Soil Management and Climate Change (Elsevier), 253\u2013265. doi:10.1016/B978-0-12-812128-3.00017-3.", "keywords": ["2. Zero hunger", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "15. Life on land", "Geosciences"], "contacts": [{"organization": "Van de Broek, Marijn, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Emanuele Lugato, Vladimir Kuzmanovski, Aneta Trajanov, Taru Sand\u00e9n, Heide Spiegel, Charlotte Decock, Six, johan, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OAXQX8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OAXQX8", "name": "item", "description": "10.15454/OAXQX8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OAXQX8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/2zqkir", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/2zqkir"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/2zqkir", "name": "item", "description": "10.15454/2zqkir", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/2zqkir"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/6uedbv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "CIRCASA REPORT: Analysis of current capacity building and training needs surrounding SOC research and implementation", "description": "Teaching and training on soil organic carbon (SOC) is key if we are to take advantage of the many benefits of maintaining and enhancing SOC. Not least, a good background and understanding of SOC is needed by the academic, agricultural and land management communities if land management is to be used effectively for climate change mitigation. This report is a scoping study, providing a first look at the resources and provision for the teaching and training of SOC mainly in academia but also in selected international programs and initiatives. It is not a definitive study but instead provides an insight into SOC teaching and training, identifying commonalities and trends which may be worthy of future investigation. The report draws on three sources of information; two previous CIRCASA reports, an analysis of international programs and initiatives and a survey of academic stakeholders.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Milne E., Banwart S., Bray A., Frelih-Larsen A., Herb Irina, Luu P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/6uedbv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/6uedbv", "name": "item", "description": "10.15454/6uedbv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/6uedbv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/10XUKC", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "Caract\u00e9ristiques physico-chimiques des sols en semis direct sous couvert. Enqu\u00eate sur un r\u00e9seau d'agriculteurs en Bourgogne-Franche-Comt\u00e9: 2018-2019", "description": "Open AccessLes informations contenues dans ce jeu de donn\u00e9es correspondent aux r\u00e9sultats d'analyses de sol effectu\u00e9es sur des parcelles agricoles d\u2019un r\u00e9seau de 62 agriculteurs en agriculture de conservation de la r\u00e9gion Bourgogne-Franche-Comt\u00e9. Les pr\u00e9l\u00e8vements de sol ont \u00e9t\u00e9 r\u00e9alis\u00e9s sur une profondeur de 0 \u00e0 10 cm. Au total, le sol de 176 parcelles a \u00e9t\u00e9 analys\u00e9 soit en 2018, soit en 2019. Douze variables ont \u00e9t\u00e9 mesur\u00e9es ou calcul\u00e9es sur les pr\u00e9l\u00e8vements effectu\u00e9s : la granulom\u00e9trie (5 fractions), le carbone total et la mati\u00e8re organique, le calcaire total, l\u2019azote total, le rapport C/N, le pH eau et KCl.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "propri\u00e9t\u00e9 du sol", "sol agricole", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Derrouch, Damien, Chauvel, Bruno, Dessaint, Fabrice,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/10XUKC"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/10XUKC", "name": "item", "description": "10.15454/10XUKC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/10XUKC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/6UEDBV", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "CIRCASA REPORT: Analysis of current capacity building and training needs surrounding SOC research and implementation", "description": "Teaching and training on soil organic carbon (SOC) is key if we are to take advantage of the many benefits of maintaining and enhancing SOC. Not least, a good background and understanding of SOC is needed by the academic, agricultural and land management communities if land management is to be used effectively for climate change mitigation. This report is a scoping study, providing a first look at the resources and provision for the teaching and training of SOC mainly in academia but also in selected international programs and initiatives. It is not a definitive study but instead provides an insight into SOC teaching and training, identifying commonalities and trends which may be worthy of future investigation. The report draws on three sources of information; two previous CIRCASA reports, an analysis of international programs and initiatives and a survey of academic stakeholders.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Milne E., Banwart S., Bray A., Frelih-Larsen A., Herb Irina, Luu P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/6UEDBV"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/6UEDBV", "name": "item", "description": "10.15454/6UEDBV", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/6UEDBV"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/8xff8d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D2.1 \u201cStakeholder views on the role of SOC for climate change mitigation, adaptation and SDGs\u201d", "description": "Report on the views of stakeholders for potential for SOC management to contribute to SOC sequestration for climate change mitigation and adaptation and for the achievement of SDGs, including how these measures can be implemented, which barriers may constrain this, and which knowledge gaps need to be filled.", "keywords": ["Earth and Environmental Science", "Farming Systems and Practices", "Soils and soil sciences", "13. Climate action", "Agricultural Sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences", "Farming Systems"], "contacts": [{"organization": "Olensen, J.E., Swanepoel, C., Katto, C., Verchot, L., Baldock, J., Grundy, M., Hongmin, D., Li, Y., McNeill, S., Claessen, L., Arias-Navarro, C., Graversgaard, M., Soussana, J.-F., Frelih-Larsen, A., Ittner, S., Tarpey, J., Madari, B.E., Razafimbelo, T., Kontoboytseva, A., Nciizah, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/8xff8d"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/8xff8d", "name": "item", "description": "10.15454/8xff8d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/8xff8d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/OGJNIC", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Dataset for the Global Change Biology paper \"Feasibility of the 4 per 1000 aspirational target for soil carbon. A case study for France\", published as part of the French 4 per mille study.", "description": "Increasing soil organic carbon (SOC) stocks is a promising way to mitigate the increase in atmospheric CO2 concentration. Based on a simple ratio between CO2 anthropogenic emissions and SOC stocks worldwide, it has been suggested that a 0.4% (4 per 1000) yearly increase of SOC stocks could compensate for current anthropogenic CO2 emissions. Here, we used a reverse RothC modelling approach to estimate the amount of C inputs to soils required to sustain current SOC stocks and to increase them by 4\u2030 per year over a period of 30 years. We assessed the feasibility of this aspirational target first by comparing the amount of C inputs required with net primary productivity (NPP) flowing to the soil, and second by considering the SOC saturation concept. Calculations were performed for mainland France, at a 1 km grid cell resolution. This dataset gives the main results supporting these conclusions, as well as the uncertainty attached to these results.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "carbon", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "7. Clean energy", "soil", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "net primary productivity", "Other", "Environmental Research", "Natural Sciences", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Martin, Manuel, Bassem Dimassi, Mercedes Rom\u00e0n Dobarco, Bertrand Guenet, Dominique Arrouays, Denis A. Angers, Fabrice Blache, Fr\u00e9d\u00e9ric Huard, Jean-Fran\u00e7ois Soussana, Sylvain Pellerin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OGJNIC"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OGJNIC", "name": "item", "description": "10.15454/OGJNIC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OGJNIC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/aiq9ws", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French RMQS soil profile and monitoring dataset with related management practices data", "description": "Open Access<p>This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. </p> <p>2 tables provided by France are available: </p> <ul> <li>One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring.</li> <li> One table of fact-gathering the results of the cultural management practices related to soil data.</li> </ul> <p>Both tables are connected with the same id attribute. To link soil data to management practices, yo", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Soil functions; soil; management; climate;", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Gay, Laura, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/aiq9ws"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/aiq9ws", "name": "item", "description": "10.15454/aiq9ws", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/aiq9ws"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/OVA9SO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Fine resolution map of top- and subsoil carbon sequestration potential in France", "description": "Although soils have a high potential to offset CO2 emissions through its conversion into soil organic carbon (SOC) with long turnover time, it is widely accepted that there is an upper limit of soil stable C storage, which is referred to SOC saturation. In this study we estimate SOC saturation in French topsoil (0\u201330 cm) and subsoil (30\u201350 cm), using the Hassink equation and calculate the additional SOC sequestration potential (SOCsp) by the difference between SOC saturation and fine fraction C on an unbiased sampling set of sites covering whole mainland France. We then map with fine resolution the geographical distribution of SOCsp over the French territory using a regression Kriging approach with environmental covariates. Results show that the controlling factors of SOCsp differ from topsoil and subsoil. The main controlling factor of SOCsp in topsoils is land use. Nearly half of forest topsoils are over-saturated with a SOCsp close to 0 (mean and standard error at 0.19 \u00b1 0.12) whereas cropland, vineyard and orchard soils are largely unsaturated with degrees of C saturation deficit at 36.45 \u00b1 0.68% and 57.10 \u00b1 1.64%, respectively. The determinant of C sequestration potential in subsoils is related to parent material. There is a large additional SOCsp in subsoil for all land uses with degrees of C saturation deficit between 48.52 \u00b1 4.83% and 68.68 \u00b1 0.42%. Overall the SOCsp for French soils appears to be very large (1008 Mt C for topsoil and 1360 Mt C for subsoil) when compared to previous total SOC stocks estimates of about 3.5 Gt in French topsoil. Our results also show that overall, 176 Mt C exceed C saturation in French topsoil and might thus be very sensitive to land use change.", "keywords": ["soil organic carbon", "Earth and Environmental Science", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "top soil", "15. Life on land", "Environmental Research", "Natural Sciences", "carbon sequestration", "Geosciences"], "contacts": [{"organization": "Chen, Songchao, Martin, Manuel, P., Saby, Nicolas P.A., Walter, Christian, Angers, Denis A., Arrouays, Dominique,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OVA9SO"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OVA9SO", "name": "item", "description": "10.15454/OVA9SO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OVA9SO"}, {"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": "10.15454/RKYCLF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Time evolution of nitrate, nitrite and dissolved organic carbon concentrations of the water collected by EFELE's lysimeters", "description": "This dataset is related to the time evolution of nitrate, nitrite and dissolved organic carbon concentrations of the water collected by EFELE\u2019s lysimeters during drainage seasons from 2014-2015 to 2017-2018. EFELE is an experimental site of the SOERE PRO network (https://www6.inra.fr/valor-pro). It is used to measure long-term evolutions of agrosystems after repeated applications of organic residues derived from animal wastes that undergo a variety of treatments (e.g. none, composting, anaerobic digestion). Two long-term agronomic experiments have been performed at the EFELE site since 2012: i) PROs, a randomized 4-block trial: 5 OWP treatments are compared to a control treatment with mineral nitrogen (N) fertilization (MIN). The OWP treatments studied are pig slurry (PS), composted pig manure supplemented with mineral N (CPigM+N), cattle manure supplemented with mineral N (CM+N), poultry manure (PoM) and a digestate of pig slurry (PS-DIG), ii) TS/MO, a split-plot trial with 4 treatments: conventional tillage and mineral N fertilization (CT_MIN), conventional tillage and cattle manure application (CT_CM), reduced tillage and mineral N fertilization (RT_MIN) and reduced tillage and cattle manure application (RT_CM). Six plots of the PROs trial (block 1) and 4 plots of the TS/MO trial (block 1) are equipped with fiberglass-wick lysimeters. Two pairs of lysimeters are installed in each plot (depths of 40 and 90 cm, respectively). Data from 4 consecutive drainage seasons from 2014-2015 to 2017-2018 are presented in this dataset", "keywords": ["2. Zero hunger", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "6. Clean water", "Geosciences"], "contacts": [{"organization": "Morvan, Thierry, Lemoine, Charlotte, Gaillard, Florian, Hamelin, Gaelle, Trinkler, B\u00e9atrice, Petitjean, Patrice, Jaffrezic, Anne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/RKYCLF"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/RKYCLF", "name": "item", "description": "10.15454/RKYCLF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/RKYCLF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/U7JM55", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D4.3", "description": "One of the central deliverables of the CIRCASA project is the Open Collaborative Platform (OCP) on global soil organic carbon. This free public platform supports CIRCASA communication WP4 and works as the project legacy by strengthening the links across regions and institutions worldwide. By creating and reinforcing an International Research Community (IRC) on agricultural soil, the OCP supports the upcoming International Research Consortium designed by CIRCASA project.", "keywords": ["2. Zero hunger", "Information management", "Soils and soil sciences", "13. Climate action", "Computer and Information Science", "Earth and Environmental Sciences", "Other", "15. Life on land"], "contacts": [{"organization": "Kuikman P., Vangennip E., Tanikawa S., Arias-Navarro C., Soussana J-F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/U7JM55"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/U7JM55", "name": "item", "description": "10.15454/U7JM55", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/U7JM55"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/cac5cp", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.2: \u201cMain features and use cases of the knowledge information system\u201d", "description": "This document gathers the requirements for the Knowledge Information System (Deliverable D1.4)", "keywords": ["Soils and soil sciences", "Computer and Information Science", "Earth and Environmental Sciences", "Computer science"], "contacts": [{"organization": "Duque Moreira De Sousa, Luis", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/cac5cp"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/cac5cp", "name": "item", "description": "10.15454/cac5cp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/cac5cp"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/e03znv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.5: \"Pilot knowledge information system set up through the OCP\"", "description": "Official release of the international knowledge information system with complete functionalities based on partner user feedbacks, integrated within the OCP.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Computer and Information Science", "Computer Science", " Electrical and System Engineering", "Computer science", "Information management", "Earth and Environmental Sciences", "Computer Science", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Information Science"], "contacts": [{"organization": "Arias-Navarro, C., Tanikawa, S., Laurent, J.-B., De Sousa, L., Soussana, J.-F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/e03znv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/e03znv", "name": "item", "description": "10.15454/e03znv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/e03znv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/jtve46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French SOERE soil monitoring dataset with related management practices data", "description": "Open AccessThis dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices, which has been created to evaluate benefits and risks associated with organic residue (OR) application in agriculture. It has been certified as SOERE PRO (a network of long-term experiments dedicated to the study of imp", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "7. Clean energy", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "soil functions", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Gay, Laura, Saby, Nicolas P.A., Michaud, Aur\u00e9lia, Montenach, Denis, Resseguier Camille, Houot, Sabine, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/jtve46"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/jtve46", "name": "item", "description": "10.15454/jtve46", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/jtve46"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/fiuwgq", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Compilation of diagnostic horizons data", "description": "Open AccessThis dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The database was developed by using a decision tree based script which determines the presence or absence of selected WRB diagnostic units (horizons, properties and materials) based on the harmonized soil profile dataset. The python-based code was developed based on the criteria defined by the World Reference Base for Soil Resources 2014 for the selected diagnostic units, by considering the difference in the information content of the input soil profile databases. Besides the presence/absence information, the code returns a percentage of reliability which provides an estimation on the reliability of the prediction of a certain diagnostic unit. The attributes are presented in the 'dh_dictionary' file.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Soil functions", "Farming Systems", "soil", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "climate", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Mich\u00e9li, Erika, Csorba, Adam, Szergi, Tam\u00e1s, Vadnai, Peter, Dobos, Endre, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Gay, Laura, Chenu, Jean-Philippe, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/fiuwgq"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/fiuwgq", "name": "item", "description": "10.15454/fiuwgq", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/fiuwgq"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/gxlrhg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "European climate indicators datasets", "description": "Open Access<p>This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project.</p> <p>A specific request consists in the computation of a limited number of climate indicators for each grid cells and needed to run the dexi models. They are calculated for each year.</p> <p>Those indicators was calculated for 2 periods:</p> <ul> <li>1990 to 2016</li> <li>1997 to 2016</li> </ul>", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Farming Practices", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "soil functions", "soil science", "7. Clean energy", "Farming Systems", "Soil functions; soil; management; climate;", "Soil", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "soil management", "Environmental Research", "Natural Sciences", "climate", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Bertuzzi, Patrick, Saby, Nicolas P.A., Toutain, Beno\u00eet, Picaud, Calypso, Chenu, Jean-Philippe, Creamer, Rachel, Gay, Laura,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/gxlrhg"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/gxlrhg", "name": "item", "description": "10.15454/gxlrhg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/gxlrhg"}, {"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": "10.15454/iw9cwa", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Science for policy 5: Strategic Plans: opportunities to maximise the supply of soil functions but beware trade-offs! \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 4.2, 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO5_Current_SFs_PrimaryProductivity.tiff PO5_Current_SFs_ClimateRegulation.tiff PO5_Current_SFs_WaterRegulation_Drought.tiff PO5_Current_SFs_WaterRegulation_WaterLoggging.tiff PO5_Current_SFs_WaterPurification.tiff PO5_Current_SFs_NutrientCycling.tiff PO5_Current_SFs_Biodiversity.tiff PO5_Current_SFs_EnvZone.shp PO5_Current_SFs_NUTS1.shp PO5_Maximization_ClimateRegulation.shp PO5_Maximization_Drought.shp PO5_Maximization_NCycling.shp PO5_Maximization_PrimaryProductivity.shp PO5_Maximization_Waterlogging.shp PO5_Maximization_Waterpurification.shp PO5_Maximization_Waterpurification.shp The tiff-files give the spatial variation in soil function performance for 6 soil functions in in agricultural soils across the EU. The soil functions were mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, land use and land management on agricultural soils throughout the European Union. PO5_Current_SFs_EnvZone.shp and PO5_Current_SFs_NUTS1.shp give the z-scores for both grasslands and cropland in 12 environmental zones for the six soil functions. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. These values were extracted from the tiff-files provided in this dataset. The PO5_Maximization shapefiles give an estimation of the change in soil function performance across the EU when one soil function is maximized through changes in management. This spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, for each of the locations, the soil function was maximized in the underlying Bayesian networks, by allowing it to change different types of management (irrigation, fertilizer, etc.) for each location taking soil, climate and crop type into account. These changes also impact the performance of the other soil functions. For each of the soil functions a separate spatial map was created. Which was then used to calculate z-scores for each of the environmental zones. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., J. Staes, R. Schulte, L. O\u2019Sullivan, E. Lugato, A. Jones, A. Georgoulas and P. Meire (2018). Soil function supply maps. LANDMARK Report 4.2. Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Climate", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "Biodiversity and Ecology", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/iw9cwa"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/iw9cwa", "name": "item", "description": "10.15454/iw9cwa", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/iw9cwa"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/syp4pe", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D2.2: \u201cAssessing barriers and solutions to the implementation of SOC sequestration options\u201d", "description": "Report on the key barriers and solutions for the implementation of SOC sequestration options across different geographic zones and what knowledge gaps need to be filled to overcome barriers.", "keywords": ["Earth and Environmental Science", "Farming Systems and Practices", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Food and food processing", "Agricultural and Food Process Engineering", "Agriculture", " Forestry", " Horticulture", "Geosciences", "Farming Systems"]}, "links": [{"href": "https://doi.org/10.15454/syp4pe"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/syp4pe", "name": "item", "description": "10.15454/syp4pe", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/syp4pe"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/lswrdg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D3.1: \"Strategic Research Agenda (SRA) on Soil Carbon\"", "description": "Research priorities for the alignment of International Research on SOC sequestration in agriculture.", "keywords": ["2. Zero hunger", "Hardware_PERFORMANCEANDRELIABILITY", "Soils and soil sciences", "Agricultural Sciences", "Environmental studies and forestry", "Social Sciences", "ComputingMilieux_GENERAL", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "Hardware_INTEGRATEDCIRCUITS", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"]}, "links": [{"href": "https://doi.org/10.15454/lswrdg"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/lswrdg", "name": "item", "description": "10.15454/lswrdg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/lswrdg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/mutd4k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Landmark H2020 dataset", "description": "Open AccessThis dataset corresponds to a list of attributes with metadata produced by the WP2 team of the Landmark H2020 project. This list was compiled based on the requirements of the diagnostic approach and the preferences of Work Package 3 for soil function modeling procedure.The list contains four categories of attributes: 5. \u201cSoil horizon attributes\u201d required to successfully derive diagnostic horizons/properties/materials and qualifiers;6. \u201cSoil attributes\u201d which contain physical/chemical/biological and other derived attributes;7. \u201cEnvironmental attributes\u201d which contain attributes needed to characterize of the surroundings of the soils (eg.: topography, climatic properties);8. \u201cManagement attributes\u201d which contain attributes regarding to management practices (eg.: irrigation, manuring, fertilization, pest control, weed management, grassland management, mechanization). The LANDMARK proposal builds on the concept that soils are a finite resource that provides a range of ecosystem services known as \u201csoil functions\u201d. Functions relating to agriculture include: primary productivity, water regulation purification, carbon-sequestration regulation, habitat for biodiversity and nutrient provision cycling. Tradeoffs between these functions may occur: for example, management aimed at maximising primary production may inadvertently affect the \u2018water purification\u2019 or \u2018habitat\u2019 functions. This has led to conflicting management recommendations and policy initiatives. There is now an urgent need to develop a coherent scientific and practical framework for the sustainable management of soils. LANDMARK will uniquely respond to the breadth of this challenge by delivering (through multi-actor development): 1. LOCAL SCALE: A toolkit for farmers with cost-effective, practical measures for sustainable (and context specific) soil management.2. REGIONAL SCALE - A blueprint for a soil monitoring scheme, using harmonised indicators: this will facilitate the assessment of soil functions for different soil types and land-uses for all major EU climatic zones.3. EU SCALE \u2013 An assessment of EU policy instruments for incentivising sustainable land management.", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "management", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Micheli, Erika, Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/mutd4k"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/mutd4k", "name": "item", "description": "10.15454/mutd4k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/mutd4k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/lv9zrw", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Etude 4pour1000 : Donn\u00e9es mod\u00e8le STICS", "description": "Donn\u00e9es issues des simulations g\u00e9n\u00e9r\u00e9es par le mod\u00e8le STICS dans le cadre de l'\u00e9tude 4p1000.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Economics", "Climate", "Social Sciences", "Farming Systems", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Launay, Camille, Constantin, Julie, Raynal, H\u00e9l\u00e8ne, Casellas, Eric, Mary, Bruno, Pellerin, Sylvain, Therond, Olivier,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/lv9zrw"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/lv9zrw", "name": "item", "description": "10.15454/lv9zrw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/lv9zrw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/oaxqx8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Compilation of data on soil organic carbon stocks and N2O emissions from published long term fields trials", "description": "Open AccessThis dataset was produced within the Landmark project to assess the accuracy of the DEXI climate regulation model. This was done by simulating the response of the soil organic carbon stock or N2O emissions from agricultural soils in long-term experiments (LTEs) and comparing the model outcomes to reported changes. LTEs were chosen because they facilitate the assessment of a range of different management practices on the component parts of the climate regulation function over a decadal timescale. The geographical location of the LTEs was limited to Europe, since the model has been developed specifically to make simulations across Europe. For this purpose, the database constructed by Sand\u00e9n et al. (2018) was used. This database contains publications on 251 European LTEs in which the effect of alternative management practices on soil quality were assessed. From these, 78 LTEs reported on changes in SOC stocks and 40 reported on changes in N2O emission or NO3- leaching. A large portion of these LTEs studied the effect of tillage (n = 18 for N2O, n = 33 for C stocks). As the effect of tillage on these soil properties has been summarized in multiple meta-studies, it was chosen not to run all these studies separately by the model, but instead, model performance was assessed based on these meta-analyses (Luo et al., 2010; Powlson et al., 2014). After excluding studies on the effect of tillage and studies using parameters that are not simulated by the model, the number of studies we retained to test the model was 6 for N2O emissions, 2 for NO3- leaching and 12 for changes in SOC stocks. This includes one additional study on NO3- leaching (Hansen and Djurhuus, 1997) and one on C sequestration (Spiegel et al., 2018) that were added to the dataset. (2019-04-01) Hansen, E. M., and Djurhuus, J. (1997). Nitrate leaching as influenced by soil tillage and catch crop. Soil Tillage Res. 41, 203\u2013219. doi:10.1016/S0167-1987(96)01097-5. Luo, Z., Wang, E., and Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224\u2013231. doi:10.1016/j.agee.2010.08.006. Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., et al. (2014). Limited potential of no-till agriculture for climate change mitigation. Nat. Clim. Chang. 4, 678\u2013683. doi:10.1038/nclimate2292. Sand\u00e9n, T., Spiegel, H., St\u00fcger, H.-P., Schlatter, N., Haslmayr, H.-P., Zavattaro, L., et al. (2018). European long-term field experiments: knowledge gained about alternative management practices. Soil Use Manag. 34, 167\u2013176. doi:10.1111/sum.12421. Spiegel, H., Sand\u00e9n, T., Dersch, G., Baumgarten, A., Gr\u00fcndling, R., and Franko, U. (2018). \u201cSoil Organic Matter and Nutrient Dynamics Following Different Management of Crop Residues at Two Sites in Austria,\u201d in Soil Management and Climate Change (Elsevier), 253\u2013265. doi:10.1016/B978-0-12-812128-3.00017-3.", "keywords": ["2. Zero hunger", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "15. Life on land", "Geosciences"], "contacts": [{"organization": "Van de Broek, Marijn, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Emanuele Lugato, Vladimir Kuzmanovski, Aneta Trajanov, Taru Sand\u00e9n, Heide Spiegel, Charlotte Decock, Six, johan, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/oaxqx8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/oaxqx8", "name": "item", "description": "10.15454/oaxqx8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/oaxqx8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/q4iwtp", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D3.2 \"IRC Work Program Report presenting recommendations for the set-up of an IRC on soil carbon in agriculture.\"", "description": "A preliminary draft that will serve as starting point to build an implementation plan for R priorities at international level based on identified knowledge gaps, identifying and developing joint flagship initiatives.", "keywords": ["Soils and soil sciences", "Earth and Environmental Sciences", "Other"], "contacts": [{"organization": "Arias-Navarro C., Soussana J-F., Trouillet M., Reynders S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/q4iwtp"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/q4iwtp", "name": "item", "description": "10.15454/q4iwtp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/q4iwtp"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/srhcuh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Science for policy 1: FaST hidden benefits: needs based targeting of cleaner water through better use of nutrients - datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefile: PO1_GAEC5.shp The shapefile gives an estimation of the change in soil function performance across the EU in agricultural soils after implementation of the GAEC5 under the proposed CAP. This spatial variation is represented in change in z-scores compared to the current supply on a NUTS1 level. To implement the scenario, for each crop within each environmental zone the 20% area with the lowest values of the N Cycling indicator are selected from the current SF supply map and this indicator is increased to the lowest values in the other 80% of the same crop \u2013 environmental zone combination. In a second step, for each crop within each environmental zone the 20% area with the lowest values of the water purification indicator from the current SF supply map are selected and this indicator is increased to the lowest values in the other 80% of the crop \u2013 environmental zone combination, while maintaining the N Cycling improvements. This simulates potential improvements in both N Cycling and water purification due to the implementation of the Farm Sustainability Tool for Nutrients (GAEC 5) Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for a NUTS1 zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "6. Clean water", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "12. Responsible consumption", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, O\u2019Sullivan, Lilian, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, Wall, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/srhcuh"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/srhcuh", "name": "item", "description": "10.15454/srhcuh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/srhcuh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/u7jm55", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D4.3", "description": "One of the central deliverables of the CIRCASA project is the Open Collaborative Platform (OCP) on global soil organic carbon. This free public platform supports CIRCASA communication WP4 and works as the project legacy by strengthening the links across regions and institutions worldwide. By creating and reinforcing an International Research Community (IRC) on agricultural soil, the OCP supports the upcoming International Research Consortium designed by CIRCASA project.", "keywords": ["2. Zero hunger", "Information management", "Soils and soil sciences", "13. Climate action", "Computer and Information Science", "Earth and Environmental Sciences", "Other", "15. Life on land"], "contacts": [{"organization": "Kuikman P., Vangennip E., Tanikawa S., Arias-Navarro C., Soussana J-F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/u7jm55"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/u7jm55", "name": "item", "description": "10.15454/u7jm55", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/u7jm55"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/ya4osh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Bayesian networks to evaluate soil functions of agricultural land in Europe", "description": "Open AccessThis dataset is part of both deliverable 4.2 and 4.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the Bayesian networks for the following crops: \u00a0 Barley Silage maize Grain maize Intensive grasslands - hay Intensive grasslands - grazed Extensive grasslands - grazed Rapeseed Peas Potato Rye Sugar beet Sunflower Spring wheat Spring durum wheat Soybean Wheat Durum wheat \u00a0 For each crop, a Bayesian network was derived from a DayCent crop simulation. DayCent, the daily time-step version of the CENTURY biogeochemical model, simulates fluxes of carbon (C) and nitrogen (N) among the atmosphere, vegetation, and soil. It incorporates a wide range of sub models including soil water content and temperature by layer, plant production and allocation of net primary production (NPP), etc. The DayCent model was applied on a 12-year simulation period following the procedure in Lugato et al. (2017). From this simulation only the last 4-years of the model run were used to develop the data table for the machine learning. The daily time-step output from DayCent was converted into a data table with seasonal and yearly averages and totals. This table includes a wide range of explaining variables from DayCent (Table 1). In total 14 indicators were derived from the DayCent modelling results to describe different aspects of the four soil functions. \u00a0 To develop the BNs, each explaining variable and soil function indicator from the data table, which was derived from the DayCent dataset, was discretized into 5 classes using the Jenks natural breaks classification method. For each crop, a BN was derived from these discretized datasets with a Bayesian Search algorithm. During the Bayesian Search calculation, connections between explaining variables were forbidden, while connections between explaining variables and soil function variables were always starting from the explaining variables. The crop BNs were validated with a k-fold cross-validation during which the network is tested in its ability to predict indicator values from the dataset. The BNs were built and validated using SMILE Academic 2.2 software (BayesFusion LLC, University of Pittsburgh, PA, USA) (Druzdzel, 1999). \u00a0 These BNs were later used to evaluate the soil functions under current conditions as well as a range of policy options. The results of these calculations can be found in https://data.inra.fr/dataverse/LandmarkH2020. \u00a0 More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: \u00a0 Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. \u00a0 Available from https://landmarkproject.eu/.", "keywords": ["2. Zero hunger", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "15. Life on land", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Schulte, Rogier, Jones, Arwyn, Staes, Jan, O\u2019Sullivan, Lilian, Lugato, Emanuele, Schr\u00f6der, Jaap, Meire, Patrick,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/ya4osh"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/ya4osh", "name": "item", "description": "10.15454/ya4osh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/ya4osh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/q0xvvd", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D2.3: \u201cSynthesis report on knowledge demands and needs of stakeholders\u201d", "description": "In this report, we examine knowledge gaps identified by stakeholders. In this way, the find-ings support the creation of an international strategic research agenda for SOC, a central envisioned outcome of the CIRCASA project.", "keywords": ["Earth and Environmental Science", "Hardware_PERFORMANCEANDRELIABILITY", "Farming Systems and Practices", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Food and food processing", "Agricultural and Food Process Engineering", "Agriculture", " Forestry", " Horticulture", "Geosciences", "Farming Systems"]}, "links": [{"href": "https://doi.org/10.15454/q0xvvd"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/q0xvvd", "name": "item", "description": "10.15454/q0xvvd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/q0xvvd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/ywetvm", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.4: \"International Knowledge Synthesis activities\"", "description": "In order to understand soil\u2019s contribution to ecosystem services, large-scale modelling and mapping soil properties and processes are needed. This increased global understanding will show how to tackle multiple land based challenges through agricultural SOC sequestration. This report is detailing the harmonized spatial data sets and their use to create knowledge synthesis on the potential for SOC sequestration in agriculture and on the role of SOC for agricultural productivity, climate change mitigation and adaptation.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "ComputingMilieux_GENERAL", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Arias-Navarro, C., Folberth C., Gurriaran L., Havlik P., Kim J.H., Kuhnert M., Martin M., Mendes de Jesus J., Montanarella L., Poggio L., Skalsk\u00fd R., Balkovi\u010d J., Smith P., Soussana J.-F., van Dijk M., Yogo W., Batjes N., Bispo A., Bosma A., Ceschia E., Chenu C., de Sousa L., Deppermann A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/ywetvm"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/ywetvm", "name": "item", "description": "10.15454/ywetvm", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/ywetvm"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/yufpfd", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.3 \u201cThe science base of a strategic research agenda - Executive Summary\u201d", "description": "A summary presenting the challenges for soil carbon sequestration research, hypothesis to be further tested and key research (and innovation) products.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Geosciences"]}, "links": [{"href": "https://doi.org/10.15454/yufpfd"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/yufpfd", "name": "item", "description": "10.15454/yufpfd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/yufpfd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "3087185359", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:32Z", "type": "Dataset", "title": "Landmark H2020 dataset", "description": "Open AccessThis dataset corresponds to a list of attributes with metadata produced by the WP2 team of the Landmark H2020 project. This list was compiled based on the requirements of the diagnostic approach and the preferences of Work Package 3 for soil function modeling procedure.The list contains four categories of attributes: 5. \u201cSoil horizon attributes\u201d required to successfully derive diagnostic horizons/properties/materials and qualifiers;6. \u201cSoil attributes\u201d which contain physical/chemical/biological and other derived attributes;7. \u201cEnvironmental attributes\u201d which contain attributes needed to characterize of the surroundings of the soils (eg.: topography, climatic properties);8. \u201cManagement attributes\u201d which contain attributes regarding to management practices (eg.: irrigation, manuring, fertilization, pest control, weed management, grassland management, mechanization). The LANDMARK proposal builds on the concept that soils are a finite resource that provides a range of ecosystem services known as \u201csoil functions\u201d. Functions relating to agriculture include: primary productivity, water regulation purification, carbon-sequestration regulation, habitat for biodiversity and nutrient provision cycling. Tradeoffs between these functions may occur: for example, management aimed at maximising primary production may inadvertently affect the \u2018water purification\u2019 or \u2018habitat\u2019 functions. This has led to conflicting management recommendations and policy initiatives. There is now an urgent need to develop a coherent scientific and practical framework for the sustainable management of soils. LANDMARK will uniquely respond to the breadth of this challenge by delivering (through multi-actor development): 1. LOCAL SCALE: A toolkit for farmers with cost-effective, practical measures for sustainable (and context specific) soil management.2. REGIONAL SCALE - A blueprint for a soil monitoring scheme, using harmonised indicators: this will facilitate the assessment of soil functions for different soil types and land-uses for all major EU climatic zones.3. EU SCALE \u2013 An assessment of EU policy instruments for incentivising sustainable land management.", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "management", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Micheli, Erika, Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3087185359"}, {"rel": "self", "type": "application/geo+json", "title": "3087185359", "name": "item", "description": "3087185359", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3087185359"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "3114970092", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:35Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3114970092"}, {"rel": "self", "type": "application/geo+json", "title": "3114970092", "name": "item", "description": "3114970092", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3114970092"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "3117499091", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:35Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.3 \u201cThe science base of a strategic research agenda - Executive Summary\u201d", "description": "A summary presenting the challenges for soil carbon sequestration research, hypothesis to be further tested and key research (and innovation) products.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Geosciences"]}, "links": [{"href": "https://doi.org/3117499091"}, {"rel": "self", "type": "application/geo+json", "title": "3117499091", "name": "item", "description": "3117499091", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3117499091"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "389c003f24135035b4136d7c1658b237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:01Z", "type": "Dataset", "title": "Science for policy 4: Manure: spreading the load? \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following tiffs and shapefiles: PO4_35km_Borders.shp PO4_35km_NoBorders.shp PO4_100km_Borders.shp PO4_100km_NoBorders.shp PO4_Max_Borders.shp PO4_Max_NoBorders.shp These shapefiles give an estimation of the change in soil function performance across the EU in agricultural soils after nitrogen surplus redistribution within a 35km, 100km and no limited range, with and without limitation in cross-border transport. The spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, current nutrient applications in areas where concentrations in ground water are above 50 mg nitrates per liter (mg/L), were decreased in order to reach the 50 mg /L level. The excess organic nutrient surplus was then redistributed on other fields within a range of 35km, 100km or no distance limitation, which can receive additional nutrients without exceeding the 50 mg N /L threshold for each location. Excess nutrient surpluses were allowed or not to cross borders and no increases in N application were allowed in Natura 2000 sites. Z-scores are calculated from the spatial SF maps. Environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/389c003f24135035b4136d7c1658b237"}, {"rel": "self", "type": "application/geo+json", "title": "389c003f24135035b4136d7c1658b237", "name": "item", "description": "389c003f24135035b4136d7c1658b237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/389c003f24135035b4136d7c1658b237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "4417a3789a8f521f04e520915c7d3bfb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:10Z", "type": "Dataset", "title": "Science for policy 3: Climate change: no winners when it comes to soil functions \u2013 datasets.", "description": "Open Access<p>This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles:</p> <p>&nbsp;</p> <ul> <li>PO3_RCP26_NoIrrigation.shp</li> <li>PO3_RCP45_Irrigation.shp</li> <li>PO3_RCP45_NoIrrigation.shp</li> <li>PO3_RCP85_Irrigation.shp</li> <li>PO3_RCP85_NoIrrigation.shp</li> </ul> <p>&nbsp;These shapefiles give estimations of the change in soil function performance across the EU in agricultural soils by 2050 under an RCP2.6", "keywords": ["Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "Climate", "6. Clean water", "Hydrology and Hydrogeology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "11. Sustainability", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "self", "type": "application/geo+json", "title": "4417a3789a8f521f04e520915c7d3bfb", "name": "item", "description": "4417a3789a8f521f04e520915c7d3bfb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "50|userclaim___::389c003f24135035b4136d7c1658b237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "type": "Dataset", "title": "Science for policy 4: Manure: spreading the load? \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following tiffs and shapefiles: PO4_35km_Borders.shp PO4_35km_NoBorders.shp PO4_100km_Borders.shp PO4_100km_NoBorders.shp PO4_Max_Borders.shp PO4_Max_NoBorders.shp These shapefiles give an estimation of the change in soil function performance across the EU in agricultural soils after nitrogen surplus redistribution within a 35km, 100km and no limited range, with and without limitation in cross-border transport. The spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, current nutrient applications in areas where concentrations in ground water are above 50 mg nitrates per liter (mg/L), were decreased in order to reach the 50 mg /L level. The excess organic nutrient surplus was then redistributed on other fields within a range of 35km, 100km or no distance limitation, which can receive additional nutrients without exceeding the 50 mg N /L threshold for each location. Excess nutrient surpluses were allowed or not to cross borders and no increases in N application were allowed in Natura 2000 sites. Z-scores are calculated from the spatial SF maps. Environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. 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It contains the following shapefiles:</p> <p>&nbsp;</p> <ul> <li>PO3_RCP26_NoIrrigation.shp</li> <li>PO3_RCP45_Irrigation.shp</li> <li>PO3_RCP45_NoIrrigation.shp</li> <li>PO3_RCP85_Irrigation.shp</li> <li>PO3_RCP85_NoIrrigation.shp</li> </ul> <p>&nbsp;These shapefiles give estimations of the change in soil function performance across the EU in agricultural soils by 2050 under an RCP2.6", "keywords": ["Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "Climate", "6. Clean water", "Hydrology and Hydrogeology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "11. Sustainability", "15. 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It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across the EU in agricultural soils after implementation of the GAEC9 under the proposed CAP to reach 5% or 10% fallow land. This spatial variation is represented in change in z-scores compared to the current supply. The presence of fallow land is evaluated on a NUTS1 level. In the regions where the target of fallow land is not reached, productive arable land is converted into low-productive grassland to reach the 5% or 10% goal. This scenario allows us to evaluate the effect of GAEC5 on the different soil functions. The soil functions are then mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, adapted land use and land management on agricultural soils throughout the European Union. Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|userclaim___::89e2857f08624cf89672a348e38806c7"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::89e2857f08624cf89672a348e38806c7", "name": "item", "description": "50|userclaim___::89e2857f08624cf89672a348e38806c7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::89e2857f08624cf89672a348e38806c7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "89e2857f08624cf89672a348e38806c7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:30:22Z", "type": "Dataset", "title": "Science for policy 2: Leaving land alone: soil functions under GAEC 9 \u2013 datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. 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Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). 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