This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project.
2 tables provided by France are available:
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/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
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project.
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.
Those indicators was calculated for 2 periods:
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:
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. 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___::389c003f24135035b4136d7c1658b237"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::389c003f24135035b4136d7c1658b237", "name": "item", "description": "50|userclaim___::389c003f24135035b4136d7c1658b237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::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": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "type": "Dataset", "title": "Science for policy 3: Climate change: no winners when it comes to soil functions \u2013 datasets.", "description": "Open Access
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:
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/50|userclaim___::4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "name": "item", "description": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::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___::89e2857f08624cf89672a348e38806c7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "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. 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. 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. 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