{"type": "FeatureCollection", "features": [{"id": "10.1175/BAMS-D-17-0138.1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:24Z", "type": "Journal Article", "created": "2018-09-11", "title": "MSWEP V2 global 3-hourly 0.1\u00b0 precipitation: methodology and quantitative assessment", "description": "Abstract<p>We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), a gridded precipitation P dataset spanning 1979\uffe2\uff80\uff932017. MSWEP V2 is unique in several aspects: i) full global coverage (all land and oceans); ii) high spatial (0.1\uffc2\uffb0) and temporal (3 hourly) resolution; iii) optimal merging of P estimates based on gauges [WorldClim, Global Historical Climatology Network-Daily (GHCN-D), Global Summary of the Day (GSOD), Global Precipitation Climatology Centre (GPCC), and others], satellites [Climate Prediction Center morphing technique (CMORPH), Gridded Satellite (GridSat), Global Satellite Mapping of Precipitation (GSMaP), and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT)], and reanalyses [European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim) and Japanese 55-year Reanalysis (JRA-55)]; iv) distributional bias corrections, mainly to improve the P frequency; v) correction of systematic terrestrial P biases using river discharge Q observations from 13,762 stations across the globe; vi) incorporation of daily observations from 76,747 gauges worldwide; and vii) correction for regional differences in gauge reporting times. MSWEP V2 compares substantially better with Stage IV gauge\uffe2\uff80\uff93radar P data than other state-of-the-art P datasets for the United States, demonstrating the effectiveness of the MSWEP V2 methodology. Global comparisons suggest that MSWEP V2 exhibits more realistic spatial patterns in mean, magnitude, and frequency. Long-term mean P estimates for the global, land, and ocean domains based on MSWEP V2 are 955, 781, and 1,025 mm yr\uffe2\uff88\uff921, respectively. Other P datasets consistently underestimate P amounts in mountainous regions. Using MSWEP V2, P was estimated to occur 15.5%, 12.3%, and 16.9% of the time on average for the global, land, and ocean domains, respectively. MSWEP V2 provides unique opportunities to explore spatiotemporal variations in P, improve our understanding of hydrological processes and their parameterization, and enhance hydrological model performance.</p>", "keywords": ["LAND", "SATELLITE-OBSERVATIONS", "EXTREME-PRECIPITATION", "GAUGE OBSERVATIONS", "TROPICAL RAINFALL", "PASSIVE MICROWAVE", "15. Life on land", "01 natural sciences", "6. Clean water", "MODEL", "ERA-INTERIM REANALYSIS", "DATA ASSIMILATION", "13. Climate action", "Earth and Environmental Sciences", "NETWORK", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/100/3/bams-d-17-0138.1.xml"}, {"href": "https://doi.org/10.1175/BAMS-D-17-0138.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/BAMS-D-17-0138.1", "name": "item", "description": "10.1175/BAMS-D-17-0138.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/BAMS-D-17-0138.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1126/sciadv.abe6653", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:12Z", "type": "Journal Article", "created": "2022-01-07", "title": "Soil drought can mitigate deadly heat stress thanks to a reduction of air humidity", "description": "<p>Soil drought can mitigate deadly heat stress thanks to a reduction of air humidity.</p>", "keywords": ["Multidisciplinary", "CLIMATE-CHANGE", "Earth", " Environmental", " Ecological", " and Space Sciences", "FEEDBACK", "0207 environmental engineering", "AMPLIFICATION", "02 engineering and technology", "MOISTURE", "15. Life on land", "SUMMER RAINFALL", "01 natural sciences", "6. Clean water", "MODEL", "EXCEED", "13. Climate action", "Earth and Environmental Sciences", "SURFACE EVAPORATION", "TEMPERATURES", "Life Science", "HEATWAVES", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1126/sciadv.abe6653"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.abe6653", "name": "item", "description": "10.1126/sciadv.abe6653", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.abe6653"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-07T00:00:00Z"}}, {"id": "10.1126/sciadv.adj8016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:12Z", "type": "Journal Article", "created": "2023-11-29", "title": "Connecting the multiple dimensions of global soil fungal diversity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.</p></article>", "keywords": ["Supplementary Data", "biodiversity", " fungi", " ecology", "QH301 Biology", "Diversity (politics)", "Plant Science", "Biodiversity conservation", "Fungal Diversity", "Agricultural and Biological Sciences", "Soil", "Life", "Sociology", "WATER", "Global biodiversity distribution", "Fungal diversity", "Phylogeny", "Soil Microbiology", "2. Zero hunger", "Multidisciplinary", "Earth", " Environmental", " Ecological", " and Space Sciences", "Geography", "Ecology", "soil fungal diversity", "4. Education", "SPECIES RICHNESS", "Life Sciences", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_sm.pdf", "Biodiversity", "FOS: Sociology", "global biodiversity distribution", "sienet", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_tables_s1_to_s13.zip", "Diversity and Evolution of Fungal Pathogens", "570", "Supplementary Information", "DNA markers", "QH301", "Sequencing high-resolution DNA", "Biochemistry", " Genetics and Molecular Biology", "monimuotoisuus", "Mycorrhizal Fungi and Plant Interactions", "Life Science", "Humans", "14. Life underwater", "General", "Global ecological processes", "Biology", "Ecosystem", "Ecology", " Evolution", " Behavior and Systematics", "global ecological processes", "Soil fungal diversity", "microbiology", "Fungi", "Water", "Cell Biology", "15. Life on land", "luonnon monimuotoisuus", "Agronomy", "biodiversiteetti", "LIFE", "ekosysteemit (ekologia)", "Evolution and Ecology of Endophyte-Grass Symbiosis", "13. Climate action", "Ecology", " evolutionary biology", "Earth and Environmental Sciences", "FOS: Biological sciences", "Anthropology", "ta1181", "biodiversity conservation", "Species richness"]}, "links": [{"href": "https://www.science.org/doi/epdf/10.1126/sciadv.adj8016"}, {"href": "https://www.science.org/doi/pdf/10.1126/sciadv.adj8016"}, {"href": "https://doi.org/10.1126/sciadv.adj8016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.adj8016", "name": "item", "description": "10.1126/sciadv.adj8016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.adj8016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1128/aem.02209-19", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:13Z", "type": "Journal Article", "created": "2019-12-04", "title": "Casimicrobium huifangae gen. nov., sp. nov., a Ubiquitous \u201cMost-Wanted\u201d Core Bacterial Taxon from Municipal Wastewater Treatment Plants", "description": "<p>             The activated sludge process is the most widely applied biotechnology and is one of the best ecosystems to address microbial ecological principles. Yet, the cultivation of core bacteria and the exploration of their physiology and ecology are limited. In this study, the core and novel bacterial taxon             C. huifangae             was cultivated and characterized. This study revealed that             C. huifangae             functioned as an important module hub in the activated sludge microbiome, and it potentially plays an important role in municipal wastewater treatment plants.           </p>", "keywords": ["0301 basic medicine", "activated sludge microbiome", "DATABASE", "DIVERSITY", "nitrogen and phosphorus removal", "GENOME ANNOTATION", "POLYPHOSPHATE-ACCUMULATING ORGANISMS", "12. Responsible consumption", "ACTIVATED-SLUDGE", "03 medical and health sciences", "SEARCH", "RNA", " Ribosomal", " 16S", "11. Sustainability", "microbial network", "Phylogeny", "WWTP", "0303 health sciences", "IDENTIFICATION", "Sewage", "Microbiota", "Betaproteobacteria", "core taxa", "15. Life on land", "6. Clean water", "COMMUNITY", "RNA", " Bacterial", "Casimicrobium huifangae", "13. Climate action", "Earth and Environmental Sciences", "BIOLOGICAL PHOSPHORUS REMOVAL", "municipal wastewater treatment plant", "CARBON SOURCE"]}, "links": [{"href": "https://journals.asm.org/doi/pdf/10.1128/AEM.02209-19"}, {"href": "https://doi.org/10.1128/aem.02209-19"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20and%20Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/aem.02209-19", "name": "item", "description": "10.1128/aem.02209-19", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/aem.02209-19"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-03T00:00:00Z"}}, {"id": "10.15454/8xff8d", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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/LJRFJR", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:51Z", "type": "Dataset", "title": "Tree functional traits, forest biomass, and tree species diversity interact with site properties to drive forest soil carbon", "description": "This dataset contains the raw data of the study published by Augusto Boca about the effect of plant functional traits, stand biomass, and species mixtures on soil organic carbon in forest soils.", "keywords": ["Earth and Environmental Science", "Soil Organic Carbon", "Earth and Environmental Sciences", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Augusto, Laurent", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/LJRFJR"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/LJRFJR", "name": "item", "description": "10.15454/LJRFJR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/LJRFJR"}, {"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/OAXQX8", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": "10.14279/depositonce-15380", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:42Z", "type": "Journal Article", "created": "2022-02-24", "title": "Decoupling between ecosystem photosynthesis and transpiration: a last resort against overheating", "description": "Abstract                <p>Ecosystems are projected to face extreme high temperatures more frequently in the near future. Various biotic coping strategies exist to prevent heat stress. Controlled experiments have recently provided evidence for continued transpiration in woody plants during high air temperatures, even when photosynthesis is inhibited. Such a decoupling of photosynthesis and transpiration would represent an effective strategy (\uffe2\uff80\uff98known as leaf or canopy cooling\uffe2\uff80\uff99) to prevent lethal leaf temperatures. At the ecosystem scale, continued transpiration might dampen the development and propagation of heat extremes despite further desiccating soils. However, at the ecosystem scale, evidence for the occurrence of this decoupling is still limited. Here, we aim to investigate this mechanism using eddy-covariance data of thirteen woody ecosystems located in Australia and a causal graph discovery algorithm. Working at half-hourly time resolution, we find evidence for a decoupling of photosynthesis and transpiration in four ecosystems which can be classified as Mediterranean woodlands. The decoupling occurred at air temperatures above 35 \uffe2\uff88\uff98C. At the nine other investigated woody sites, we found that vegetation CO2 exchange remained coupled to transpiration at the observed high air temperatures. Ecosystem characteristics suggest that the canopy energy balance plays a crucial role in determining the occurrence of a decoupling. Our results highlight the value of causal-inference approaches for the analysis of complex physiological processes. With regard to projected increasing temperatures and especially extreme events in future climates, further vegetation types might be pushed to threatening canopy temperatures. Our findings suggest that the coupling of leaf-level photosynthesis and stomatal conductance, common in land surface schemes, may need be re-examined when applied to high-temperature events.</p>", "keywords": ["heat wave", "570", "AUSTRALIA", "Science", "QC1-999", "UNCERTAINTY", "Environmental technology. Sanitary engineering", "01 natural sciences", "transpiration", "FLUX TOWER", "ddc:570", "GE1-350", "TOLERANCE", "TEMPERATURE", "TD1-1066", "0105 earth and related environmental sciences", "photosynthesis", "CONDUCTANCE", "Physics", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "WATER-USE", "MODEL", "Environmental sciences", "13. Climate action", "Earth and Environmental Sciences", "ecosystem functioning", "PINUS-TAEDA", "0401 agriculture", " forestry", " and fisheries", "ELEVATED CO2", "570 Biowissenschaften; Biologie"]}, "links": [{"href": "https://doi.org/10.14279/depositonce-15380"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.14279/depositonce-15380", "name": "item", "description": "10.14279/depositonce-15380", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.14279/depositonce-15380"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-14T00:00:00Z"}}, {"id": "10.15454/gxlrhg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:52Z", "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/hwrhhx", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/iw9cwa", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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": "10.5194/bg-2-159-2005", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:19Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Extreme sensitivity of soil organic carbon (SOC) to climate and land use change warrants further research in different terrestrial ecosystems. The aim of this study was to investigate the link between aggregate and SOC dynamics in a chronosequence of three different land uses of a south Chilean Andisol: a second growth Nothofagus obliqua forest (SGFOR), a grassland (GRASS) and a Pinus radiata plantation (PINUS). Total carbon content of the 0-10cm soil layer was higher for GRASS (6.7 kg C m-2) than for PINUS (4.3 kg C m-2, while TC content of SGFOR (5.8 kg C m-2) was not significantly different from either one. High extractable oxalate and pyrophosphate Al concentrations (varying from 20.3-24.4 g kg-1, and 3.9-11.1 g kg-1, respectively) were found in all sites. In this study, SOC and aggregate dynamics were studied using size and density fractionation experiments of the SOC, \uffce\uffb413C and total carbon analysis of the different SOC fractions, and C mineralization experiments. The results showed that electrostatic sorption between and among amorphous Al components and clay minerals is mainly responsible for the formation of metal-humus-clay complexes and the stabilization of soil aggregates. The process of ligand exchange between SOC and Al would be of minor importance resulting in the absence of aggregate hierarchy in this soil type. Whole soil C mineralization rate constants were highest for SGFOR and PINUS, followed by GRASS (respectively 0.495, 0.266 and 0.196 g CO2-Cm-2d-1 for the top soil layer). In contrast, incubation experiments of isolated macro organic matter fractions gave opposite results, showing that the recalcitrance of the SOC decreased in another order: PINUS&gt;SGFOR&gt;GRASS. We deduced that electrostatic sorption processes and physical protection of SOC in soil aggregates were the main processes determining SOC stabilization. As a result, high aggregate carbon concentrations, varying from 148 till 48 g kg-1, were encountered for all land use sites. Al availability and electrostatic charges are dependent on pH, resulting in an important influence of soil pH on aggregate stability. Recalcitrance of the SOC did not appear to largely affect SOC stabilization. Statistical correlations between extractable amorphous Al contents, aggregate stability and C mineralization rate constants were encountered, supporting this hypothesis. Land use changes affected SOC dynamics and aggregate stability by modifying soil pH (and thus electrostatic charges and available Al content), root SOC input and management practices (such as ploughing and accompanying drying of the soil).                     </p>", "keywords": ["DECOMPOSITION", "NEW-ZEALAND", "DENSITY FRACTIONS", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "HUMIC-ACID", "Life", "QH501-531", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "CULTIVATED SOILS", "Ecology", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "ALUMINUM", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "MACROORGANIC MATTER", "C SEQUESTRATION", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "Earth and Environmental Sciences", "FOREST SOILS", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Huygens, D., Boeckx, P., van Cleemput, O., Oyarz\u00fan, C., Godoy, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5194/bg-2-159-2005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-2-159-2005", "name": "item", "description": "10.5194/bg-2-159-2005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-2-159-2005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-06-24T00:00:00Z"}}, {"id": "10.15454/6uedbv", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": "10.15454/2zqkir", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": "10.15454/9RDHIN", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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/CFWBAA", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Agriculture increases the bioavailability of silicon, a beneficial element for crop, in temperate soils", "description": "These data concern the study 'Agriculture increases the bioavailability of Silicon, a beneficial element for crop, in temperate soils' published in nature communication. This work was performed in the frame of the French ANR BioSiSol project (ANR-14-CE01-0002) 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 analyses of total Si and available Si were made in 2016 on samples stored from the first sampling campaign. 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 (total and available Si, particle size fraction, organic carbon content ...), observations about soil and land use, and spatial coordinates. We warn the user that coordinates published here are theoretical 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", "Earth and Environmental Science", "Agricultural Sciences", "silicon", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "TER sciences du sol", "soil", "bioavailable silicon", "Earth and Environmental Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "RMQS", "Agriculture", " Forestry", " Horticulture", "Geosciences", "AGR farms and farming systems", "agriculture"], "contacts": [{"organization": "Saby, Nicolas P.A., Caubet, Manon, Cornu, Sophie, Meunier, Jean-Dominique, Boulonne, Line, Rati\u00e9, C\u00e9line, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/CFWBAA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/CFWBAA", "name": "item", "description": "10.15454/CFWBAA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/CFWBAA"}, {"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/OGJNIC", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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/OVA9SO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:51Z", "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/QSXKGA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:51Z", "type": "Dataset", "title": "Analyses physico-chimiques des sites du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols (RMQS) du territoire m\u00e9tropolitain pour la 1\u00e8re campagne (2000-2009), avec coordonn\u00e9es th\u00e9oriques", "description": "Le R\u00e9seau de mesures de la qualit\u00e9 des sols (RMQS) est un programme national d\u2019\u00e9valuation et de suivi \u00e0 long terme de la qualit\u00e9 des sols fran\u00e7ais. Ce r\u00e9seau repose sur le suivi de 2240 sites repr\u00e9sentatifs des sols fran\u00e7ais et de leurs occupations, r\u00e9partis sur l\u2019ensemble du territoire fran\u00e7ais (m\u00e9tropole et outre-mer) selon une grille syst\u00e9matique de 16 km de c\u00f4t\u00e9. Les sites recouvrent diverses occupations (grandes cultures, prairies permanentes, for\u00eats, vignes et vergers, milieux peu anthropis\u00e9s, parcs urbains). Des propri\u00e9t\u00e9s physiques, chimiques et biologiques des sols sont mesur\u00e9es sur chaque site, par campagne. Ces analyses sont associ\u00e9es \u00e0 la recherche des facteurs explicatifs de la variabilit\u00e9 spatiale et temporelle des propri\u00e9t\u00e9s des sols (variables biophysiques, sources de contamination, historique de l\u2019occupation et des pratiques de gestion de chaque site). La premi\u00e8re campagne de pr\u00e9l\u00e8vement en m\u00e9tropole s'est d\u00e9roul\u00e9e de 2000 \u00e0 2009. Cette campagne, ax\u00e9e sur la contamination des sols, a permis de cartographier les principaux param\u00e8tres p\u00e9dologiques (28 variables) ainsi que les teneurs en 12 \u00e9l\u00e9ments traces m\u00e9talliques (ETM) en extraction totale ou partielle et 70 polluants organiques persistants. L\u2019ensemble des pr\u00e9l\u00e8vements, mesures et observations r\u00e9alis\u00e9s sur chaque site durant cette campagne est d\u00e9taill\u00e9 dans le Manuel de la premi\u00e8re campagne du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols . La deuxi\u00e8me campagne a d\u00e9marr\u00e9 en 2016 et devrait s\u2019\u00e9tendre sur 12 ans. Le jeu de donn\u00e9es fourni comprend les r\u00e9sultats d\u2019analyses issus de 2171 sites de m\u00e9tropole, r\u00e9partis sur 2146 cellules et correspondant \u00e0 la premi\u00e8re campagne RMQS (2000 -2009) et pour les param\u00e8tres suivants : granulom\u00e9trie 5 fractions, carbone et azote totaux, capacit\u00e9 d\u2019\u00e9change cationique et cations \u00e9changeables, calcaire total, pH eau, phosphore assimilable (P2O5), fer libre, \u00e9l\u00e9ments majeurs totaux et \u00e9l\u00e9ments traces m\u00e9talliques totaux et une partie des ETM en extraction partielle, conductivit\u00e9 \u00e9lectrique et \u00e9l\u00e9ments solubles \u00e0 l\u2019eau pour une s\u00e9lection de sites concern\u00e9s. Les analyses ont \u00e9t\u00e9 r\u00e9alis\u00e9es sur des \u00e9chantillons composites pr\u00e9lev\u00e9s \u00e0 la tari\u00e8re selon deux couches de pr\u00e9l\u00e8vement (0-30 cm ou couche travaill\u00e9e en sol cultiv\u00e9, appel\u00e9e composite de surface ou composite 1 et la couche sous-jacente jusqu\u2019\u00e0 50 cm, appel\u00e9e composite de sub-surface ou composite 2). Chaque \u00e9chantillon composite a \u00e9t\u00e9 constitu\u00e9 \u00e0 partir du m\u00e9lange de 25 pr\u00e9l\u00e8vements individuels pr\u00e9lev\u00e9s sur une surface d\u2019\u00e9chantillonnage de 400 m\u00b2 selon un plan d\u2019\u00e9chantillonnage al\u00e9atoire stratifi\u00e9 (voir description dans le manuel du RMQS). Une troisi\u00e8me couche de pr\u00e9l\u00e8vement issue d\u2019\u00e9chantillons composites a pu \u00eatre constitu\u00e9e en for\u00eat ou en prairie, \u00e0 partir des horizons holorganiques (correspondant aux horizons p\u00e9dologiques OF et OH) lorsque ces horizons \u00e9taient suffisamment \u00e9pais (au moins 1 cm) et continus sur la surface d\u2019\u00e9chantillonnage. English version 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, during the first campaign et presently on the second campaign. 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. This campaign focused on soil contamination assessment and made it possible to map key soil parameters (28 variables) as well as 12 trace metal elements and 70 persistent organic pollutants. The sampling method, measurements and observations on each site are described in the \u201cRMQS guidelines\u201d1 (in French: \u201cmanuel du RMQS\u201d). The second campaign started in 2016 and should last 12 years. The dataset includes the results of soil analyses from 2171 sites, spread over 2146 cells and corresponding to the first RMQS campaign (2000-2009). Analysed parameters are particle size analysis (5 fractions), total carbon and nitrogen, cation exchange capacity and exchangeable cations, total calcium carbonates, pH in water, available P2O5, free iron, total major elements and trace elements (total and partial extraction). The soil tests were carried out on composite samples collected with an auger at two sampling layers: 0-30 cm or cultivated layer named \u201cupper layer\u201d or \u201clayer 1\u201d and 30-50 cm named \u201csubsoil layer\u201d or \u201clayer 2\u201d. Each composite sample was made up of 25 individual sample cores taken on a sampling area of 400 m\u00b2, using an unaligned systematic sampling design (see description in the RMQS guidelines). In some cases a third layer was made up of holorganic layers in forests or meadows, corresponding to pedological horizons OF and OH, when these layers were sufficiently thick, (at least 1 cm) and continuous over the sampling area.", "keywords": ["Earth and Environmental Science", "sol", "pH du sol", "p\u00e9dologie (geosciences)", "TER sciences du sol", "capacit\u00e9 d \u00e9change cationique", "fer", "carbonate", "granulom\u00e9trie du sol", "Earth and Environmental Sciences", "conductivit\u00e9 \u00e9lectrique", "p\u00e9dologie geosciences", "carbone du sol", "phosphore du sol", "Environmental Research", "Natural Sciences", "capacit\u00e9 d'\u00e9change cationique", "azote du sol", "Geosciences"], "contacts": [{"organization": "Institut National de la Recherche Agronomique, Association marnaise de d\u00e9veloppement agricole et viticole, Association pour la Relance Agronomique en Alsace (ARAA), Chambre D\u00e9partementale d'Agriculture des Ardennes, Chambre D\u00e9partementale d'Agriculture de l'Aube, Chambre D\u00e9partementale d'Agriculture du Calvados, Chambre D\u00e9partementale d'Agriculture de Charente, Chambre D\u00e9partementale d'Agriculture de Charente-Maritime, Chambre D\u00e9partementale d'Agriculture du Cher, Chambre D\u00e9partementale d'Agriculture de Corr\u00e8ze, Chambre D\u00e9partementale d'Agriculture de la C\u00f4te d'Or, Chambre D\u00e9partementale d'Agriculture de Creuse, Chambre D\u00e9partementale d'Agriculture des Deux-S\u00e8vres, Chambre D\u00e9partementale d'Agriculture de l'Eure, Chambre D\u00e9partementale d'Agriculture de l'Eure-et-Loir, Chambre D\u00e9partementale d'Agriculture de Haute-Marne, Chambre D\u00e9partementale d'Agriculture de Haute-Vienne, Chambre D\u00e9partementale d'Agriculture de l'Indre, Chambre D\u00e9partementale d'Agriculture de Loire-Atlantique, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Manche, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Ni\u00e8vre, Chambre D\u00e9partementale d'Agriculture de l'Orne, Chambre D\u00e9partementale d'Agriculture de Sa\u00f4ne-et-Loire, Chambre D\u00e9partementale d'Agriculture de Seine-et-Marne, Chambre D\u00e9partementale d'Agriculture de Seine-Maritime, Chambre D\u00e9partementale d'Agriculture de Vend\u00e9e, Chambre D\u00e9partementale d'Agriculture de la Vienne, Chambre D\u00e9partementale d'Agriculture de l'Yonne, Chambre R\u00e9gionale d'Agriculture de Bretagne, Chambre R\u00e9gionale d'Agriculture de Lorraine, Chambre R\u00e9gionale d'Agriculture de Picardie, Chambre R\u00e9gionale d'Agriculture de Poitou-Charentes, Conseil G\u00e9n\u00e9ral de Mayenne, \u00c9cole nationale d'ing\u00e9nieurs des travaux agricoles de Bordeaux (ENITAB), EDIACARA, \u00c9tablissement national d'enseignement sup\u00e9rieur agronomique de Dijon (ENESAD), Genevois-Gomendy-Sol et Environnement, Groupe R\u00e9gional Agronomie P\u00e9dologie Environnement (GRAPE Franche-Comt\u00e9), Institut Forestier National (IFN), Institut National d'Horticulture d'Angers (INH), Institut National Polytechnique - Ecole Nationale Sup\u00e9rieure d'Agronomie de Toulouse (INP-ENSAT), Institut Sup\u00e9rieur d'Agriculture de Lille (ISA), SCITERRE, Soci\u00e9t\u00e9 du Canal de Provence et d'Am\u00e9nagement de la R\u00e9gion Proven\u00e7ale (SCP), Sol Info Rh\u00f4ne Alpes - Chambre R\u00e9gionale d'Agriculture de Rh\u00f4ne-Alpes (SIRA),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/QSXKGA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/QSXKGA", "name": "item", "description": "10.15454/QSXKGA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/QSXKGA"}, {"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/RKYCLF", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:51Z", "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": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/aiq9ws", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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. 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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/fupob8", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/jtve46", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/lswrdg", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/lv9zrw", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/mutd4k", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/oaxqx8", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/q0xvvd", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/q4iwtp", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/syp4pe", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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/u7jm55", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:52Z", "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": {"license": "Open Access", "updated": "2026-06-26T16:21:53Z", "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/yufpfd", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:53Z", "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": "10.15454/ywetvm", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:53Z", "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": "10.3390/rs13224615", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:35Z", "type": "Journal Article", "created": "2021-11-17", "title": "Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil contamination by heavy metals is of particular concern, due to the direct negative impact on crop yield, food quality and human health. Although the conventional approach to monitor heavy metals relies on field sampling and lab analysis, the proliferation in the use of portable spectrometers has reduced the cost and time of investigation. However, discrepancies in spectral data from different spectrometers increase the modeling time and undermine the model accuracy for spatial mapping. This study, therefore, took advantage of the readily accessible Landsat 7 data to predict and map the spatiotemporal distribution of ten heavy metals (i.e., Sb, Pb, Ni, Mn, Hg, Cu, Cr, Co, Cd and As) over a 640 km2 area in Belgium. The Land Use/Cover Area Frame Survey (LUCAS) database of a region in north-eastern Belgium was used to retrieve variation in heavy metals concentrations over time and space, using the Landsat 7 imagery for four single dates in 2009, 2013, 2016 and 2020. Three regression methods, namely, partial least squares regression (PLSR), random forest (RF) and support vector machine (SVM) were used to model and predict the heavy metal concentrations for 2009. By comparing these models unbiasedly, the best model was selected for predicting and mapping the heavy metal distributions for 2013, 2016 and 2020. RF turned out to be the optimal model for 2009 with a coefficient of determination of prediction (R2P) and residual prediction deviation of prediction (RPDP) ranging from 0.62 to 0.92, and 1.23 to 2.79, respectively. The measured heavy metal distributions along the river floodplains, at the highlands and in the lowlands, were generally high, compared to their RF spatiotemporal predictions, which decreased over time. Increasing moisture contents in the floodplains adjacent to the river channels and the lowlands were the primary contributors to the reduction in the satellite reflectance spectra. However, topsoil erosion from rainfall, snowmelt as well as wind into the lowlands could have influenced the reduction in heavy metal spatiotemporal predicted values over time in the highlands. The spatiotemporal prediction maps produced for the heavy metals for the four different years revealed a good spatial similarity and consistency with the measured maps for 2009, which indicates their stability over the years.</p></article>", "keywords": ["PROVINCE", "Landsat 7", "analysis", "Science", "random forest (RF)", "MOISTURE", "01 natural sciences", "NIR SPECTROSCOPY", "spatiotemporal analysis", "AGRICULTURAL SOILS", "spatiotemporal", "0105 earth and related environmental sciences", "2. Zero hunger", "RANGE", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "3. Good health", "MULTIVARIATE", "TOPSOILS", "13. Climate action", "Earth and Environmental Sciences", "soil heavy metal; Landsat 7; partial least squares regression (PLSR); random forest (RF); support vector machine (SVM); spatiotemporal analysis", "0401 agriculture", " forestry", " and fisheries", "support vector machine (SVM)", "soil heavy metal", "partial least squares regression (PLSR)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://doi.org/10.3390/rs13224615"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13224615", "name": "item", "description": "10.3390/rs13224615", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13224615"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "10.18150/10srtx", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:09Z", "type": "Dataset", "title": "Application of halotolerant Azotobacter chroococcum W4ii isolated from technosoils to mitigate salt stress in wheat plant", "description": "Technosoils are soils affected by human activities. One such soil is present in Inowroc\u0142aw, central Poland, influenced by soda lime repository. Azotobacter chroococcum W4ii was isolated from the rhizosphere of wheat (Triticum aestivum L.) grown in the technosoils and checked for its plant growth properties on wheat plants under salt stress. Wheat seeds co-inoculated with A. chroococcum W4ii under 200 mM salt stress showed significant improvement in various growth parameters such as plant height, shoot biomass, chlorophyll b content compared to un-inoculated ones. Bacterial inoculation decreased the level of malondialdehyde (MDA) whereas elevated the antioxidative enzymatic activities of peroxidase (POD). The test isolate also enhanced the level of defense enzymes like \u03b2-1, 3 glucanase, which can protect plants from the infection of pathogens. The bacterium could also successfully colonize the wheat plants. These results indicate that A. chroococcum isolated from the technosoil has potential to promote the wheat growth under salt stress and can be further used as bioinoculant in the salt affected agricultural fields.", "keywords": ["2. Zero hunger", "Agricultural Sciences", "Earth and Environmental Sciences", "6. Clean water"], "contacts": [{"organization": "Kalwasi\u0144ska Agnieszka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18150/10srtx"}, {"rel": "self", "type": "application/geo+json", "title": "10.18150/10srtx", "name": "item", "description": "10.18150/10srtx", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18150/10srtx"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.18150/ya999e", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:09Z", "type": "Dataset", "title": "Application of halotolerant Azotobacter chroococcum W4ii isolated from technosoils to mitigate salt stress in wheat plant", "description": "Technosoils are soils affected by human activities. One such soil is present in Inowroc\u0142aw, central Poland, influenced by soda lime repository. Azotobacter chroococcum W4ii was isolated from the rhizosphere of wheat (Triticum aestivum L.) grown in the technosoils and checked for its plant growth properties on wheat plants under salt stress. Wheat seeds co-inoculated with A. chroococcum W4ii under 200 mM salt stress showed significant improvement in various growth parameters such as plant height, shoot biomass, chlorophyll b content compared to un-inoculated ones. Bacterial inoculation decreased the level of malondialdehyde (MDA) whereas elevated the antioxidative enzymatic activities of peroxidase (POD). The test isolate also enhanced the level of defense enzymes like \u03b2-1, 3 glucanase, which can protect plants from the infection of pathogens. The bacterium could also successfully colonize the wheat plants. These results indicate that A. chroococcum isolated from the technosoil has potential to promote the wheat growth under salt stress and can be further used as bioinoculant in the salt affected agricultural fields.", "keywords": ["2. Zero hunger", "Agricultural Sciences", "Earth and Environmental Sciences", "6. Clean water"], "contacts": [{"organization": "Kalwasi\u0144ska Agnieszka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18150/ya999e"}, {"rel": "self", "type": "application/geo+json", "title": "10.18150/ya999e", "name": "item", "description": "10.18150/ya999e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18150/ya999e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.18167/DVN1/L9SQVO", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:10Z", "type": "Dataset", "title": "Replication Data for: \u201cPhosphorus sorption and availability in an andosol after a decade of organic or mineral fertilizer applications: importance of pH and organic carbon modifications in soil as compared to phosphorus accumulation\"", "description": "Dataset of the paper entitled Phosphorus sorption and availability in an andosol after a decade of organic or mineral fertilizer applications: importance of pH and organic carbon modifications in soil as compared to phosphorus accumulation. We conducted a 10-years-old field experiment on an andosol and compared fields that had been amended with mineral or organic (dairy slurry and manure compost) fertilizers against a non-fertilized control. Water and Olsen extractions and inorganic phosphorus sorption experiments were realized on soils sampled after 6 and 10 years of trial. We also realized an artificial and ex situ alkalization of the control soil to isolate the effect of pH on the sorption capacity of inorganic phosphorus.", "keywords": ["2. Zero hunger", "Fertilizing", "Soil chemistry and physics", "Agricultural Sciences", "Earth and Environmental Sciences", "soil analysis", "soil amendments"], "contacts": [{"organization": "Nobile, C\u00e9cile N, Bravin, Matthieu N, Becquer, T, Paillat, Jean-Marie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18167/DVN1/L9SQVO"}, {"rel": "self", "type": "application/geo+json", "title": "10.18167/DVN1/L9SQVO", "name": "item", "description": "10.18167/DVN1/L9SQVO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18167/DVN1/L9SQVO"}, {"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": "10.18710/FJWV6X", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:10Z", "type": "Dataset", "title": "Replication Data for: Spatial variation in amount of carbon in boreal forest surface soil \u2013 the role of historical fires, hydro-topography, and contemporary vegetation", "description": "This dataset contains data on soil C and N stocks (from soil samples), charcoal weight, historical fire frequencies, year of last fire, bottom layer vegetation cover, topography, and woody cover from Trillemarka Nature reserve.", "keywords": ["Earth and Environmental Science", "History", "Humanities", "Hydro-topography", "Hydro topography", "13. Climate action", "Earth and Environmental Sciences", "Organic surface carbon stocks", "15. Life on land", "Forest fire history", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Haukenes, Vilde L., \u00c5sg\u00e5rd, Lisa, Asplund, Johan, Nybakken, Line, Rolstad, J\u00f8rund, Storaunet, Ken Olaf, Ohlson, Mikael,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18710/FJWV6X"}, {"rel": "self", "type": "application/geo+json", "title": "10.18710/FJWV6X", "name": "item", "description": "10.18710/FJWV6X", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18710/FJWV6X"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.18738/T8/DFBE1M", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-26T16:22:10Z", "type": "Dataset", "created": "2021-05-05", "title": "Stiffness and Strength of Stabilized Organic Soils\u2014Part II/II: Parametric Analysis and Modeling with Machine Learning", "description": "Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered \u201cunsuitable\u201d due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.", "keywords": ["Chemistry", "Engineering", "Stabilized Organic Soils", "Computer and Information Science", "Earth and Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.18738/T8/DFBE1M"}, {"rel": "self", "type": "application/geo+json", "title": "10.18738/T8/DFBE1M", "name": "item", "description": "10.18738/T8/DFBE1M", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18738/T8/DFBE1M"}, {"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": "10.18738/T8/N3XJPB", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-26T16:22:10Z", "type": "Dataset", "created": "2021-05-06", "title": "Stiffness and Strength of Stabilized Organic Soils\u2014Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling", "description": "This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil\u2019s organic content, the soil\u2019s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens\u2019 stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.", "keywords": ["Chemistry", "Engineering", "Stabilized Organic Soils", "Computer and Information Science", "Earth and Environmental Sciences"], "contacts": [{"organization": "Hernandez-Martinez, Francisco Gabriel, Al-Tabbaa, Abir, Medina-Cetina, Zenon, Yousefpour, Negin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18738/T8/N3XJPB"}, {"rel": "self", "type": "application/geo+json", "title": "10.18738/T8/N3XJPB", "name": "item", "description": "10.18738/T8/N3XJPB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18738/T8/N3XJPB"}, {"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": "10.24057/2071-9388-2019-10", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:57Z", "type": "Journal Article", "created": "2019-11-26", "title": "Simultaneous assessment of the summer urban heat island in Moscow megacity based on in situ observations, thermal satellite images and mesoscale modeling", "description": "<p>This study compares three popular approaches to quantify the urban heat island (UHI) effect in Moscow megacity in a summer season (June-August 2015). The first approach uses the measurements of the near-surface air temperature obtained from weather stations, the second is based on remote sensing from thermal imagery of MODIS satellites, and the third is based on the numerical simulations with the mesoscale atmospheric model COSMO-CLM coupled with the urban canopy scheme TERRA_URB. The first approach allows studying the canopy-layer UHI (CLUHI, or anomaly of a near- surface air temperature), while the second allows studying the surface UHI (SUHI, or anomaly of a land surface temperature), and both types of the UHI could be simulated by the atmospheric model. These approaches were compared in the daytime, evening and nighttime conditions. The results of the study highlight a substantial difference between the SUHI and CLUHI in terms of the diurnal variation and spatial structure. The strongest differences are found at the daytime, at which the SUHI reaches the maximal intensity (up to 10\uffc2\uffb0\uffd0\uffa1) whereas the CLUHI reaches the minimum intensity (1.5\uffc2\uffb0\uffd0\uffa1). However, there is a stronger consistency between CLUHU and SUHI at night, when their intensities converge to 5\uffe2\uff80\uff936\uffc2\uffb0\uffd0\uffa1. In addition, the nighttime CLUHI and SUHI have similar monocentric spatial structure with a temperature maximum in the city center. The presented findings should be taken into account when interpreting and comparing the results of UHI studies, based on the different approaches. The mesoscale model reproduces the CLUHI-SUHI relationships and provides good agreement with in situ observations on the CLUHI spatiotemporal variations (with near-zero biases for daytime and nighttime CLUHI intensity and correlation coefficients more than 0.8 for CLUHI spatial patterns). However, the agreement of the simulated SUHI with the remote sensing data is lower than agreement of the simulated CLUHI with in situ measurements. Specifically, the model tends to overestimate the daytime SUHI intensity. These results indicate a need for further in-depth investigation of the model behavior and SUHI\uffe2\uff80\uff93CLUHI relationships in general.</p>", "keywords": ["modis", "Geography (General)", "COSMO", "suhi", "0207 environmental engineering", "uhi", "land surface temperature", "UHI", "urban heat island", "moscow", "02 engineering and technology", "Moscow", "01 natural sciences", "thermal satellite images", "remote sensing", "MODIS", "13. Climate action", "Earth and Environmental Sciences", "SUHI", "cosmo", "urban climate", "11. Sustainability", "G1-922", "mesoscale modelling", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Varentsov, Mikhail I., Grishchenko, Mikhail Y., Wouters, Hendrik,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.24057/2071-9388-2019-10"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GEOGRAPHY%2C%20ENVIRONMENT%2C%20SUSTAINABILITY", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24057/2071-9388-2019-10", "name": "item", "description": "10.24057/2071-9388-2019-10", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24057/2071-9388-2019-10"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-31T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:48Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p> <p>A community effort is needed to move soil modeling forward.</p> <p>Establishing an international soil modeling consortium is key in this respect.</p> <p>There is a need to better integrate existing knowledge in soil models.</p> <p>Integration of data and models is a key challenge in soil modeling.</p> </p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Environmental+Science&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Environmental+Science&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Environmental+Science&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Environmental+Science&offset=100", "hreflang": "en-US"}], "numberMatched": 216, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-26T22:09:02.505756Z"}