{"type": "FeatureCollection", "features": [{"id": "10.1002/jsfa.4647", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:13Z", "type": "Journal Article", "created": "2011-09-27", "title": "Response Of Soil Organic Carbon Mineralization In Typical Karst Soils Following The Addition Of 14c-Labeled Rice Straw And Caco3", "description": "Abstract<p>BACKGROUND: Organic substrates and calcium are important factors controlling organic matter turnover in Karst soils. To understand their effects on soil organic carbon (SOC) mineralization, an incubation experiment was conducted involving a control treatment (CK), the addition of a 14C\uffe2\uff80\uff90labeled rice straw (T1), CaCO3 (T2), and both 14C\uffe2\uff80\uff90labeled rice straw and CaCO3 (T3) to two types of Karst soils (terra fusca and rendzina) and a red soil from southwestern China.</p><p>RESULTS: Cumulative mineralization of the rice straw over 100 days in rendzina (22.96 mg kg\uffe2\uff88\uff921) and terra fusca (23.19 mg kg\uffe2\uff88\uff921) was higher than in the red soil (15.48 mg kg\uffe2\uff88\uff921; P &lt; 0.05). Cumulative mineralization of native SOC decreased following addition of 14C\uffe2\uff80\uff90labeled rice straw in the rendzina and terra fusca but increased in the red soil (negative and positive priming effects on native SOC). The turnover times of 14C\uffe2\uff80\uff90labeled microbial biomass C (MBC) in the red soil, terra fusca and rendzina were 71 \uffc2\uffb1 2, 243 \uffc2\uffb1 20 and 254 \uffc2\uffb1 45 days, respectively. By adding CaCO3, the accumulation of SOC was greater in the Karst soils than in the red soil.</p><p>CONCLUSION: Although the interactions between rice straw decomposition and priming effects on native SOC are not yet understood, there was considerable variation between Karst and red soils. Soil calcium was a positive factor in maintaining SOC stability. MBC from rice straws was stable in terra fusca and rendzina, whereas it was active in the red soil. The Karst soils (terra fusca and rendzina) used in this study benefited SOC accumulation. Copyright \uffc2\uffa9 2011 Society of Chemical Industry</p>", "keywords": ["2. Zero hunger", "Carbon Isotopes", "Soil", "0401 agriculture", " forestry", " and fisheries", "Calcium", "Oryza", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "Soil Microbiology", "6. Clean water", "Calcium Carbonate", "Carbon Cycle"]}, "links": [{"href": "https://doi.org/10.1002/jsfa.4647"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.4647", "name": "item", "description": "10.1002/jsfa.4647", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.4647"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-09-23T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2015.07.063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:05Z", "type": "Journal Article", "created": "2015-08-03", "title": "Changes In The Chemical Composition Of An Acidic Soil Treated With Marble Quarry And Marble Cutting Wastes", "description": "Soil acidity greatly affects the availability of plant nutrients. The level of soil acidity can be adjusted by treating the soil with certain additives. The objective of this study was to determine the effect of marble quarry waste (MQW) and marble cutting waste (MCW) on the chemical composition and the acidity of a soil. Marble wastes at different rates were applied to an acid soil. Their effectiveness in neutralizing the soil pH was compared with that of agricultural lime. The changes in the chemical composition of the soil were also evaluated with column test at the end of a 75-day incubation period. The results indicated that the MQW and MCW applications significantly increased the soil pH (from 4.71 up to 6.54), the CaCO3 content (from 0.33% up to 0.75%), and the exchangeable Ca (from 14.79 cmol kg(-1) up to 21.18 cmol kg(-1)) and Na (from 0.57 cmol kg(-1) up to 1.07 cmol kg(-1)) contents, but decreased the exchangeable K (from 0.46 cmol kg(-1) down to 0.28 cmol kg(-1)), the plant-available P (from 25.56 mg L(-1) down to 16.62 mg L(-1)), and the extractable Fe (from 259.43 mg L(-1) down to 55.4 mg L(-1)), Cu (from 1.97 mg L(-1) down to 1.42 mg L(-1)), Mn (from 17.89 mg L(-1) down to 4.61 mg L(-1)) and Zn (from 7.88 mg L(-1) down to 1.56 mg L(-1)) contents. In addition, the Cd (from 0.060 mg L(-1) down to 0.046 mg L(-1)), Ni (from 0.337 mg L(-1) down to 0.092 mg L(-1)) and Pb (from 28.00 mg L(-1) down to 20.08 mg L(-1)) concentrations decreased upon the treatment of the soil with marble wastes.", "keywords": ["Soil", "13. Climate action", "Industrial Waste", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "Hydrogen-Ion Concentration", "01 natural sciences", "6. Clean water", "Calcium Carbonate", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u00d6ZTA\u015e, Ta\u015fk\u0131n, AROL, AL\u0130 \u0130HSAN, KALKAN, Ekrem, Tozsin, G\u00fcl\u015fen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2015.07.063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2015.07.063", "name": "item", "description": "10.1016/j.chemosphere.2015.07.063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2015.07.063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2005.10.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:19Z", "type": "Journal Article", "created": "2005-11-30", "title": "Field Evaluation Of In Situ Remediation Of A Heavy Metal Contaminated Soil Using Lime And Red-Mud", "description": "We evaluated the effectiveness of lime and red mud (by-product of aluminium manufacturing) to reduce metal availability to Festuca rubra and to allow re-vegetation on a highly contaminated brown-field site. Application of both lime and red mud (at 3 or 5%) increased soil pH and decreased metal availability. Festuca rubra failed to establish in the control plots, but grew to a near complete vegetative cover on the amended plots. The most effective treatment in decreasing grass metal concentrations in the first year was 5% red mud, but by year two all amendments were equally effective. In an additional pot experiment, P application in combination with red mud or lime decreased the Pb concentration, but not total uptake of Pb in Festuca rubra compared to red mud alone. The results show that both red mud and lime can be used to remediate a heavily contaminated acid soil to allow re-vegetation.", "keywords": ["Festuca", "Geologic Sediments", "Time Factors", "Lime", "Phosphate", "Phosphorus", "Hydrogen-Ion Concentration", "15. Life on land", "01 natural sciences", "6. Clean water", "Calcium Carbonate", "Heavy metals", "Metals", " Heavy", "Clay", "Soil Pollutants", "Aluminum Silicates", "In situ remediation", "Environmental Restoration and Remediation", "Red mud", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2005.10.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2005.10.017", "name": "item", "description": "10.1016/j.envpol.2005.10.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2005.10.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-08-01T00:00:00Z"}}, {"id": "10.1016/j.jconhyd.2021.103797", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:50Z", "type": "Journal Article", "created": "2021-03-18", "title": "Dynamics of nitrous oxide with depth in groundwater: Insights from ambient groundwater and laboratory incubation experiments (Hesbaye chalk aquifer, Belgium)", "description": "Aquifers under agricultural areas are considered to be an indirect source of nitrous oxide emission (N2O) to the atmosphere, which is the greenhouse gas (GHGs) characterized with the highest global warning potential and acts as a stratospheric ozone depletion agent. Previous investigations performed in the Cretaceous Hesbaye chalk aquifer in Eastern Belgium suggested that the dynamics of N2O in the aquifer is controlled by overlapping biochemical processes such as nitrification and denitrification. The current study aims to obtain better insight concerning the factors controlling the distribution of N2O concentration along a vertical dimension in the aquifer, and to capture and quantify the occurrence of nitrification and denitrification processes in the groundwater system. Low-flow groundwater sampling technique was undertaken at different depths in the aquifer to collect groundwater samples aiming at obtaining information about ambient aquifer hydrogeochemical conditions and their effect on the accumulation of GHGs. Afterwards, laboratory stable isotope experiments, using NO3- and NH4+ compounds labeled with heavy 15N isotope, were applied to quantify the rates of nitrification and denitrification processes. Ambient studies suggest that the occurrence of N transformation was related to denitrification while laboratory incubation experiments did not detect it. Such controversial results might be explained by the discrepancy between real aquifer conditions and lab design studies. Thus, additional in situ tracer experiments should be carried out in areas where natural groundwater fluxes do not flush the injected tracer too rapidly. In addition, it would be useful to conduct microbiological studies to obtain better insight into the nature of subsurface biofilm biotope.", "keywords": ["2. Zero hunger", "Nitrous Oxide", "N stable isotope analysis", "Nitrification", "01 natural sciences", "Low-flow sampling", "6. Clean water", "Calcium Carbonate", "Greenhouse gases", "Belgium", "13. Climate action", "Denitrification", "Laboratories", "Groundwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jconhyd.2021.103797"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Contaminant%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jconhyd.2021.103797", "name": "item", "description": "10.1016/j.jconhyd.2021.103797", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jconhyd.2021.103797"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "10.1038/s41598-022-24124-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:17Z", "type": "Journal Article", "created": "2022-11-15", "title": "Microfluidic study in a meter-long reactive path reveals how the medium\u2019s structural heterogeneity shapes MICP-induced biocementation", "description": "Abstract<p>Microbially induced calcium carbonate (CaCO3) precipitation (MICP) is one of the major sustainable alternatives to the artificial cementation of granular media. MICP consists of injecting the soil with bacterial- and calcium-rich solutions sequentially to form calcite bonds among the soil particles that improve the strength and stiffness of soils. The performance of MICP is governed by the underlying microscale processes of bacterial growth, reactive transport of solutes, reaction rates, crystal nucleation and growth. However, the impact of pore-scale heterogeneity on these processes during MICP is not well understood. This paper sheds light on the effect of pore-scale heterogeneity on the spatiotemporal evolution of MICP, overall chemical reaction efficiency and permeability evolution by combining two meter-long microfluidic devices of identical dimensions and porosity with homogeneous and heterogeneous porous networks and real-time monitoring. The two chips received, in triplicate, MICP treatment with an imposed flow and the same initial conditions, while the inlet and outlet pressures were periodically monitored. This paper proposes a comprehensive workflow destined to detect bacteria and crystals from time-lapse microscopy data at multiple positions along a microfluidic replica of porous media treated with MICP. CaCO3 crystals were formed 1\uffc2\uffa0h after the introduction of the cementation solution (CS), and crystal growth was completed 12\uffc2\uffa0h later. The average crystal growth rate was overall higher in the heterogeneous porous medium, while it became slower after the first 3\uffc2\uffa0h of cementation injection. It was found that the average chemical reaction efficiency presented a peak of 34% at the middle of the chip and remained above 20% before the last 90\uffc2\uffa0mm of the reactive path for the heterogeneous porous network. The homogeneous porous medium presented an overall lower average reaction efficiency, which peaked at 27% 420\uffc2\uffa0mm downstream of the inlet and remained lower than 12% for the rest of the microfluidic channel. These different trends of chemical efficiency in the two networks are due to a higher number of crystals of higher average diameter in the heterogeneous medium than in the homogeneous porous medium. In the interval between 480 and 900\uffc2\uffa0mm, the number of crystals in the heterogeneous porous medium is more than double the number of crystals in the homogeneous porous medium. The average diameters of the crystals were 23\uffe2\uff80\uff9346\uffc2\uffa0\uffce\uffbcm in the heterogeneous porous medium, compared to 17\uffe2\uff80\uff9340\uffc2\uffa0\uffce\uffbcm in the homogeneous porous medium across the whole chip. The permeability of the heterogeneous porous medium was more affected than that of the homogeneous system, while the pressure sensors effectively captured a higher decrease in the permeability during the first two hours when crystals were formed and a less prominent decrease during the subsequent seeded growth of the existing crystals, as well as the nucleation and growth of new crystals.</p", "keywords": ["0301 basic medicine", "Bacteria", "Science", "Q", "Microfluidics", "R", "0211 other engineering and technologies", "02 engineering and technology", "Article", "6. Clean water", "Calcium Carbonate", "Soil", "03 medical and health sciences", "Medicine", "Chemical Precipitation", "Porosity", "Chemical Precipitation; Microfluidics; Calcium Carbonate/chemistry; Porosity; Soil; Bacteria"]}, "links": [{"href": "https://www.nature.com/articles/s41598-022-24124-6.pdf"}, {"href": "https://doi.org/10.1038/s41598-022-24124-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-022-24124-6", "name": "item", "description": "10.1038/s41598-022-24124-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-022-24124-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-15T00:00:00Z"}}, {"id": "10.15454/J9H4BS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:25Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Biogeography of soil bacteria and archaea across France", "description": "These data concern the study 'Biogeography of soil bacteria and archaea across France' Karimi B, Terrat S, Dequiedt S, Saby NPA, Horrigue W, Leli\u00e8vre M, Nowak V, Jolivet C, Arrouays D, Wincker P, Cruaud C, Bispo A, Maron PA, Bour\u00e9 NCP, Ranjard L. Sci Adv. 2018 Jul 4;4(7):eaat1808. doi: 10.1126/sciadv.aat1808 and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties, observations on land use, and coordinates. We warn the user that coordinates published here are not the right coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "silt", "Earth and Environmental Science", "cation exchange capacity", "Evapotranspiration", "Soils and soil sciences", "pH", "land use", "clay", "sand", "15. Life on land", "6. Clean water", "soil", "air temperature", "soil organic carbon", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "calcium carbonate", "phosphorus content", "Environmental Research", "Natural Sciences", "Geosciences", "altitude"], "contacts": [{"organization": "Saby, Nicolas, Boulonne, Line, Rati\u00e9, C\u00e9line, Arrouays, Dominique, Chenu, Jean-Philippe, Toutain, Beno\u00eet, Bispo, Antonio, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/J9H4BS"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/J9H4BS", "name": "item", "description": "10.15454/J9H4BS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/J9H4BS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1594/pangaea.351631", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:20:35Z", "type": "Dataset", "title": "Calcium carbonate content of sediment core SO79-167KG", "keywords": ["sediment rock", "Sonne", "1994", "Box corer (Reineck)", "DEPTH", "Earth System Research", "Box corer Reineck", "Element analysis (Klosa", " 1994)", "DEPTH", " sediment/rock", "Calcium carbonate", "Element analysis Klosa", "SO79"], "contacts": [{"organization": "Weber, Michael E, Wiedicke-Hombach, Michael, Riech, Volkher, Erlenkeuser, Helmut,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.351631"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.351631", "name": "item", "description": "10.1594/pangaea.351631", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.351631"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1995-01-01T00:00:00Z"}}, {"id": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2023-12-08T11:13:11", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - September 2019", "description": "The World Soil Information Service (WoSIS) provides quality-assessed and standardised soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the first \u2018WoSIS snapshot\u2019, in July 2016, many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardised in accordance with the licences specified by the data providers. Soil profile data managed in WoSIS were contributed by a wide range of data providers, therefore special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values (and units of measurement), and soil analytical method descriptions.\n\nWe presently consider the following soil chemical properties (organic carbon, total carbon, total carbonate equivalent, total Nitrogen, Phosphorus (extractable-P, total-P, and P-retention), soil pH, cation exchange capacity, and electrical conductivity) and physical properties (soil texture (sand, silt, and clay), bulk density, coarse fragments, and water retention), grouped according to analytical procedures (aggregates) that are operationally comparable.\n\nFurther, for each profile, we provide the original soil classification (FAO, WRB, USDA, and version) and horizon designations insofar as these have been specified in the source databases. Measures for geographical accuracy (i.e. location) of the point data as well as a first approximation for the uncertainty associated with the operationally defined analytical methods are presented, for possible consideration in digital soil mapping and subsequent earth system modelling.\n\nThe present snapshot, referred to as \u2018WoSIS snapshot - September 2019\u2019, comprises 196,498 geo-referenced profiles originating from 173 countries. They represent over 832 thousand soil layers (or horizons), and over 6 million records. The actual number of observations for each property varies (greatly) between pro\ufb01les and with depth, this generally depending on the objectives of the initial soil sampling programmes.\n\nThe downloadable ZIP file has the data in TSV (tab separated values) and GeoPackage format. It contains the following files:\n- ReadmeFirst_WoSIS_2019dec04.pdf (546.7 KB)\n- wosis_201909.gpkg (2.2 GB, same data as in the tsv)\n- wosis_201909_attributes.tsv (8.7 KB)\n- wosis_201909_layers_chemical.tsv (893.5 MB)\n- wosis_201909_layers_physical.tsv (890.7 MB)\n- wosis_201909_profiles.tsv (18.8 MB)\n\nTo read the data in R, please, uncompress the ZIP file and specify the uncompressed folder. Then use read_tsv to read the TSV files, specifying the data types for each column (c = character, i = integer, n = number, d = double, l = logical, f = factor, D = date, T = date time, t = time).\n\nsetwd(\"/YourFolder/WoSIS_2019_September/\")\nattributes = readr::read_tsv('wosis_201909_attributes.tsv', col_types='cccciicd')\nprofiles = readr::read_tsv('wosis_201909_profiles.tsv', col_types='icccdddiicccciccccicccc')\nchemical = readr::read_tsv('wosis_201909_layers_chemical.tsv', col_types='iiddclcdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccc')\nphysical = readr::read_tsv('wosis_201909_layers_physical.tsv', col_types='iiddclcdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccc')\n\nFor more detailed instructions on how to read the data with R, please visit https://www.isric.org/accessing-wosis-using-r.\n\nCitation:\nBatjes N.H, Ribeiro E, and van Oostrum A.J.M, 2019. Standardised soil profile data for the world (WoSIS snapshot - September 2019), https://doi.org/10.17027/isric-wdcsoils.20190901.\nThe dataset accompanies the following data paper: Batjes N.H., Ribeiro E., and van Oostrum A.J.M., 2019. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot - 2019). Earth System Science Data, https://doi.org/10.5194/essd-12-299-2020.", "formats": [{"name": "Niels H. Batjes"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "water retention", "soil profiles", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "ad.vanoostrum@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information", "position": "Geoinformatic", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": ["P.O. Box 47"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6708 PB", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://files.isric.org/public/wosis_snapshot/WoSIS_2019_September.zip", "name": "Download zip", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-12-299-2020", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wosis_snapshot/wosis_snapshot_201909.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "name": "item", "description": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ca880bd4-cff8-11e9-8046-0cc47adaa92c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2016-07-05T00:00:00Z"]}}, {"id": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2023-12-08T11:18:44", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - July 2016", "description": "The aim of the World Soil Information Service (WoSIS) is to serve quality-assessed, geo-referenced soil data (point, polygon, and grid) to the international community upon their standardisation and harmonisation. So far, the focus has been on developing procedures for legacy point data with special attention to the selection of soil analytical and physical properties considered in the GlobalSoilMap specifications (e.g. organic carbon, soil pH, soil texture (sand, silt, and clay), coarse fragments (\u2009greater than\u2009\u202f2\u202fmm), cation exchange capacity, electrical conductivity, bulk density, and water holding capacity). Profile data managed in WoSIS were contributed by a wide range of soil data providers; the data have been described, sampled, and analysed according to methods and standards in use in the originating countries. Hence, special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values, and soil analytical method descriptions.\n\nAt the time of writing, the full WoSIS database contained some 118\u202f400 unique shared soil profiles, of which some 96\u202f000 are geo-referenced within defined limits. In total, this corresponds with over 31 million soil records, of which some 20\u202f% have so far been quality-assessed and standardised using the sequential procedure discussed in this paper.\n\nThe number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Overall, the data lineage strongly determined which data could be standardised with acceptable confidence in accord with WoSIS procedures, corresponding to over 4 million records for 94\u202f441 profiles.\n\nThe downloadable ZIP file has the data in TSV (tab separated values). It contains the following files:\n- ReadmeFirst_WoSIS_2016.pdf (148.1 KB)\n- wosis_201607_attributes.txt (4.1 KB)\n- wosis_201607_layers.txt (679.1 MB)\n- wosis_201607_profiles.txt (8.8 MB)\n\nCitation:\nBatjes NH, Ribeiro E, van Oostrum A, Leenaars J, and Mendes de Jesus J 2016. Standardised soil profile data for the world (WoSIS, July 2016 snapshot), doi:10.17027/isric-wdcsoils.20160003.\nThe dataset accompanies the following data paper: Batjes NH, Ribeiro E, van Oostrum A, Leenaars J, Hengl T, and Mendes de Jesus J 2017. WoSIS: Providing standardised soil profile data for the world, Earth System Science Data 9, 1-14, doi:10.5194/essd-9-1-2017.", "formats": [{"name": "Niels H. Batjes"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "water retention", "soil profiles", "Soil science", "Global"], "contacts": [{"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ISRIC - World Soil Information", "roles": ["contributor"]}], "denominator": "100000"}, "links": [{"href": "https://files.isric.org/public/wosis_snapshot/WoSIS_2016_July.zip", "name": "Download zip", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-9-1-2017", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wosis_snapshot/wosis_snapshot.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "name": "item", "description": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/76f1bae3-cee1-4bc7-98b2-beb036d88d2b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2013-02-12T00:00:00Z"]}}, {"id": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-10-02T06:43:34", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - December 2023", "description": "ABSTRACT:\n\nThe World Soil Information Service (WoSIS) provides quality-assessed and standardized soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the \u2018WoSIS snapshot 2019\u2019 many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardized in accordance with the licenses specified by the data providers. The source data were contributed by a wide range of data providers, therefore special attention was paid to the standardization of soil property definitions, soil analytical procedures and soil property values (and units of measurement).\n\nWe presently consider the following soil chemical properties (organic carbon, total carbon, total carbonate equivalent, total Nitrogen, Phosphorus (extractable-P, total-P, and P-retention), soil pH, cation exchange capacity, and electrical conductivity) and physical properties (soil texture (sand, silt, and clay), bulk density, coarse fragments, and water retention), grouped according to analytical procedures (aggregates) that are operationally comparable.\n\nFor each profile we provide the original soil classification (FAO, WRB, USDA, and version) and horizon designations as far as these have been specified in the source databases. \n\nThree measures for 'fitness-for-intended-use' are provided: positional uncertainty (for site locations), time of sampling/description, and a first approximation for the uncertainty associated with the operationally defined analytical methods. These measures should be considered during digital soil mapping and subsequent earth system modelling that use the present set of soil data. \n\n\nDATA SET DESCRIPTION:\n\nThe 'WoSIS 2023 snapshot' comprises data for 228k profiles from 217k geo-referenced sites that originate from 174 countries. The profiles represent over 900k soil layers (or horizons) and over 6 million records. The actual number of measurements for each property varies (greatly) between pro\ufb01les and with depth, this generally depending on the objectives of the initial soil sampling programmes. \n\nThe data are provided in TSV (tab separated values) format and as GeoPackage. The zip-file (446 Mb) contains the following files: \n\n- Readme_WoSIS_202312_v2.pdf: Provides a short description of the dataset, file structure, column names, units and category values (this file is also available directly under 'online resources'). The pdf includes links to tutorials for downloading the TSV files into R respectively Excel. See also 'HOW TO READ TSV FILES INTO R AND PYTHON' in the next section. \n \n- wosis_202312_observations.tsv: This file lists the four to six letter codes for each observation, whether the observation is for a site/profile or layer (horizon), the unit of measurement and the number of profiles respectively layers represented in the snapshot. It also provides an estimate for the inferred accuracy for the laboratory measurements.\n\n- wosis_202312_sites.tsv: This file characterizes the site location where profiles were sampled.\n\n- wosis_2023112_profiles: Presents the unique profile ID (i.e. primary key), site_id, source of the data, country ISO code and name, positional uncertainty, latitude and longitude (WGS 1984), maximum depth of soil described and sampled, as well as information on the soil classification system and edition. Depending on the soil classification system used, the number of fields will vary .\n\n- wosis_202312_layers: This file characterises the layers (or horizons) per profile, and lists their upper and lower depths (cm). \n\n- wosis_202312_xxxx.tsv : This type of file presents results for each observation (e.g. \u201cxxxx\u201d = \u201cBDFIOD\u201d ), as defined under \u201ccode\u201d in file wosis_202312_observation.tsv. (e.g. wosis_202311_bdfiod.tsv). \n\n- wosis_202312.gpkg: Contains the above datafiles in GeoPackage format (which stores the files within an SQLite database).\n\n\nHOW TO READ TSV FILES INTO R  AND PYTHON:\n\nA) To read the data in R, please uncompress the ZIP file and specify the uncompressed folder. \n\nsetwd(\"/YourFolder/WoSIS_2023_December/\")       ## For example: setwd('D:/WoSIS_2023_December/')\n\nThen use read_tsv to read the TSV files, specifying the data types for each column (c = character, i = integer, n = number, d = double, l = logical, f = factor, D = date, T = date time, t = time).\n\nobservations = readr::read_tsv('wosis_202312_observations.tsv', col_types='cccciid')  \nobservations          ## show columns and first 10 rows    \n\nsites = readr::read_tsv('wosis_202312_sites.tsv', col_types='iddcccc')\nsites   \n\nprofiles = readr::read_tsv('wosis_202312_profiles.tsv', col_types='icciccddcccccciccccicccci')\nprofiles \n\nlayers = readr::read_tsv('wosis_202312_layers.tsv', col_types='iiciciiilcc')\nlayers  \n\n## Do this for each observation 'XXXX', e.g. file 'Wosis_202312_orgc.tsv':\norgc = readr::read_tsv('wosis_202312_orgc.tsv', col_types='iicciilccdccddccccc')   \norgc\n\n\nNote: One may also use the following R code (example is for file 'observations.tsv'):\nobservations <- read.table(\"wosis_202312_observations.tsv\",\n sep = \"\\t\",\n header = TRUE,\n quote = \"\",\n comment.char = \"\",\n stringsAsFactors = FALSE\n )\n\n\nB) To read the files into python first decompress the files to your selected folder.  Then in python: \n\n# import the required library\nimport pandas as pd\n\n# Read the observations data\nobservations = pd.read_csv(\"wosis_202312_observations.tsv\", sep=\"\\t\")\n    # print the data frame header and some rows\n      observations.head()\n\n# Read the sites data\nsites = pd.read_csv(\"wosis_202312_sites.tsv\", sep=\"\\t\")\n\n# Read the profiles data\nprofiles = pd.read_csv(\"wosis_202312_profiles.tsv\", sep=\"\\t\")\n\n# Read the layers data\nlayers = pd.read_csv(\"wosis_202312_layers.tsv\", sep=\"\\t\")\n\n# Read the soil property data, e.g. 'cfvo' (do this for each observation)\ncfvo = pd.read_csv(\"wosis_202312_cfvo.tsv\", sep=\"\\t\")\n\n\nCITATION:\nCalisto, L., de Sousa, L.M., Batjes, N.H., 2023. Standardised soil profile data for the world (WoSIS snapshot \u2013 December 2023), https://doi.org/10.17027/isric-wdcsoils-20231130\n\nSupplement to:\nBatjes N.H., Calisto, L. and de Sousa L.M., 2023. Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023). Earth System Science Data,  https://doi.org/10.5194/essd-16-4735-2024.", "formats": [{"name": "TSV and Geopackage"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "soil profiles", "water retention", "total nitrogen", "Soil science", "Global"], "contacts": [{"name": "Luis Calisto", "organization": "ISRIC - World Soil Information", "position": "Database expert", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.calisto@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Luis M. de Sousa", "organization": "ISRIC - World Soil Information", "position": "Geoinformatic", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.deSousa@isric.org"}], "addresses": [{"deliveryPoint": ["P.O. Box 47"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6708 PB", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://files.isric.org/public/wosis_snapshot/WoSIS_2023_December.zip", "name": "Download zipped dataset", "description": "Zip file with the WoSIS December 2023 snapshot", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-16-4735-2024", "name": "Scientific paper", "description": "Goes to landing page for ESSD snapshot paper", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage (FAQ)", "description": "Provides answers to frequently asked questions about WoSIS", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/sites/default/files/Readme_WoSIS_202312.pdf", "name": "ReadMe file for 'wosis_snapshot_2023'", "description": "This pdf report describes the 'wosis snapshot 2023' dataset and includes links to guidelines on how to import the TSV files into R resp. Excel.", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://data.isric.org/geonetwork/srv/api/records/e50f84e1-aa5b-49cb-bd6b-cd581232a2ec/attachments/WoSIS_latest_2023_50perc.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "name": "item", "description": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e50f84e1-aa5b-49cb-bd6b-cd581232a2ec"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2022-12-01T00:00:00Z"]}}, {"id": "2268/262547", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:05Z", "type": "Journal Article", "created": "2021-03-18", "title": "Dynamics of nitrous oxide with depth in groundwater: Insights from ambient groundwater and laboratory incubation experiments (Hesbaye chalk aquifer, Belgium)", "description": "Aquifers under agricultural areas are considered to be an indirect source of nitrous oxide emission (N2O) to the atmosphere, which is the greenhouse gas (GHGs) characterized with the highest global warning potential and acts as a stratospheric ozone depletion agent. Previous investigations performed in the Cretaceous Hesbaye chalk aquifer in Eastern Belgium suggested that the dynamics of N2O in the aquifer is controlled by overlapping biochemical processes such as nitrification and denitrification. The current study aims to obtain better insight concerning the factors controlling the distribution of N2O concentration along a vertical dimension in the aquifer, and to capture and quantify the occurrence of nitrification and denitrification processes in the groundwater system. Low-flow groundwater sampling technique was undertaken at different depths in the aquifer to collect groundwater samples aiming at obtaining information about ambient aquifer hydrogeochemical conditions and their effect on the accumulation of GHGs. Afterwards, laboratory stable isotope experiments, using NO3- and NH4+ compounds labeled with heavy 15N isotope, were applied to quantify the rates of nitrification and denitrification processes. Ambient studies suggest that the occurrence of N transformation was related to denitrification while laboratory incubation experiments did not detect it. Such controversial results might be explained by the discrepancy between real aquifer conditions and lab design studies. Thus, additional in situ tracer experiments should be carried out in areas where natural groundwater fluxes do not flush the injected tracer too rapidly. In addition, it would be useful to conduct microbiological studies to obtain better insight into the nature of subsurface biofilm biotope.", "keywords": ["Sciences aquatiques & oc\u00e9anologie", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Nitrous Oxide", "01 natural sciences", "Low-flow sampling", "Ing\u00e9nierie", " informatique & technologie", "Calcium Carbonate", "Physical", " chemical", " mathematical & earth Sciences", "Belgium", "Groundwater", "0105 earth and related environmental sciences", "2. 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"applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "L\u00e1szl\u00f3 P\u00e1sztor", "organization": "Institute for Soil Sciences,", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "pasztor@rissac.hu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Hungary"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://maps.rissac.hu:6443/arcgis/services/dosoremi_web_mercator2/MapServer/WMSServer", "name": "6,7,8", "protocol": "ogc:wms", "rel": null}, {"href": "http://dosoremi.hu/tablazat.html", "name": "JPG", "protocol": "image/jpg", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Hungary/Mesztartalom-xtuuojio.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "M\u00e9sztartalom", "name": "item", "description": "M\u00e9sztartalom", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/M\u00e9sztartalom"}, {"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": "PMC9666553", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:30:12Z", "type": "Journal Article", "created": "2022-11-15", "title": "Microfluidic study in a meter-long reactive path reveals how the medium\u2019s structural heterogeneity shapes MICP-induced biocementation", "description": "Abstract<p>Microbially induced calcium carbonate (CaCO3) precipitation (MICP) is one of the major sustainable alternatives to the artificial cementation of granular media. MICP consists of injecting the soil with bacterial- and calcium-rich solutions sequentially to form calcite bonds among the soil particles that improve the strength and stiffness of soils. The performance of MICP is governed by the underlying microscale processes of bacterial growth, reactive transport of solutes, reaction rates, crystal nucleation and growth. However, the impact of pore-scale heterogeneity on these processes during MICP is not well understood. This paper sheds light on the effect of pore-scale heterogeneity on the spatiotemporal evolution of MICP, overall chemical reaction efficiency and permeability evolution by combining two meter-long microfluidic devices of identical dimensions and porosity with homogeneous and heterogeneous porous networks and real-time monitoring. The two chips received, in triplicate, MICP treatment with an imposed flow and the same initial conditions, while the inlet and outlet pressures were periodically monitored. This paper proposes a comprehensive workflow destined to detect bacteria and crystals from time-lapse microscopy data at multiple positions along a microfluidic replica of porous media treated with MICP. CaCO3 crystals were formed 1\uffc2\uffa0h after the introduction of the cementation solution (CS), and crystal growth was completed 12\uffc2\uffa0h later. The average crystal growth rate was overall higher in the heterogeneous porous medium, while it became slower after the first 3\uffc2\uffa0h of cementation injection. It was found that the average chemical reaction efficiency presented a peak of 34% at the middle of the chip and remained above 20% before the last 90\uffc2\uffa0mm of the reactive path for the heterogeneous porous network. The homogeneous porous medium presented an overall lower average reaction efficiency, which peaked at 27% 420\uffc2\uffa0mm downstream of the inlet and remained lower than 12% for the rest of the microfluidic channel. These different trends of chemical efficiency in the two networks are due to a higher number of crystals of higher average diameter in the heterogeneous medium than in the homogeneous porous medium. In the interval between 480 and 900\uffc2\uffa0mm, the number of crystals in the heterogeneous porous medium is more than double the number of crystals in the homogeneous porous medium. The average diameters of the crystals were 23\uffe2\uff80\uff9346\uffc2\uffa0\uffce\uffbcm in the heterogeneous porous medium, compared to 17\uffe2\uff80\uff9340\uffc2\uffa0\uffce\uffbcm in the homogeneous porous medium across the whole chip. The permeability of the heterogeneous porous medium was more affected than that of the homogeneous system, while the pressure sensors effectively captured a higher decrease in the permeability during the first two hours when crystals were formed and a less prominent decrease during the subsequent seeded growth of the existing crystals, as well as the nucleation and growth of new crystals.</p", "keywords": ["0301 basic medicine", "Bacteria", "Science", "Q", "Microfluidics", "R", "0211 other engineering and technologies", "02 engineering and technology", "Article", "6. Clean water", "Calcium Carbonate", "Soil", "03 medical and health sciences", "Medicine", "Chemical Precipitation", "Porosity", "Chemical Precipitation; Microfluidics; Calcium Carbonate/chemistry; Porosity; Soil; Bacteria"]}, "links": [{"href": "https://www.nature.com/articles/s41598-022-24124-6.pdf"}, {"href": "https://doi.org/PMC9666553"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC9666553", "name": "item", "description": "PMC9666553", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9666553"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-15T00:00:00Z"}}, {"id": "Subsoil-Carbonate-Content-50k", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "UK"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "calcium carbonate"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2012-01-01", "type": "Dataset", "created": "01-01-2012", "language": "eng", "title": "Subsoil Carbonate Content 50k", "description": "Parent material carbonate content", "formats": [{"name": "None"}, {"name": "ogc:wms"}, {"name": "canonical"}], "keywords": ["soil type", "basic soil properties", "National", "MensMeu", "Geology", "Soils", "Soil classification", "Geology", "Soil properties", "NERC_DDC", "UK", "calcium carbonate"], "contacts": [{"name": "David Donnelly", "organization": "British Geological Survey", "position": null, "roles": ["pointOfContact"], "phones": [{"value": "+44 115 936 3100"}], "emails": [{"value": "enquiries@bgs.ac.uk"}], "addresses": [{"deliveryPoint": ["Environmental Science Centre,Keyworth"], "city": "NOTTINGHAM", "administrativeArea": "NOTTINGHAMSHIRE", "postalCode": "NG12 5GG", "country": "UK"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Enquiries", "organization": "British Geological Survey", "position": null, "roles": ["distributor"], "phones": [{"value": "0115 936 3143"}], "emails": [{"value": "enquiries@bgs.ac.uk"}], "addresses": [{"deliveryPoint": ["Environmental Science Centre, Nicker Hill, Keyworth"], "city": "NOTTINGHAM", "administrativeArea": "NOTTINGHAMSHIRE", "postalCode": "NG12 5GG", "country": "United Kingdom"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://www.bgs.ac.uk/datasets/soil-parent-material-model/", "name": "BGS Datasets - Soil Parent Material Model", "rel": "information"}, {"href": "https://map.bgs.ac.uk/arcgis/services/UKSO/UKSO_BGS/MapServer/WMSServer?", "name": "Parent.Material.Parent.calcareous.content", "protocol": "ogc:wms", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/UK/Subsoil-Carbonate-Content-50k.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "Subsoil-Carbonate-Content-50k", "name": "item", "description": "Subsoil-Carbonate-Content-50k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Subsoil-Carbonate-Content-50k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "9daca6bc-d1da-466d-bca4-b64c2b1ea116", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.11, 52.51], [14.11, 52.52], [14.13, 52.52], [14.13, 52.51], [14.11, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Landwirtschaft"}, {"id": "Langzeitversuch"}, {"id": "Laboruntersuchung"}, {"id": "Boden"}], "scheme": "GEMET - 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These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Laboratory data (soil)\". 10.20387/BonaRes-BSVY-R418\n\nThis data/file was excluded from further dissemination and should no longer be used.", "updated": "2020-12-01", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from 1963 to 2009 - Laboratory data (soil)", "description": "This data/file has been withdrawn by the author and is no longer available for free reuse.\n\nAuthor's statement: The published LTE-data was withdrawn and replaced by an updated Version.The usability of the tables is enhanced and the experiment can be analyzed in the new Version as a single factorial experiment. The tables FAKTOR_1_STUFE and FAKTOR_2_STUFE were not longer necessary.\n\nTable with laboratory data of soil samples", "formats": [{"name": "CSV"}], "keywords": ["Landwirtschaft", "Langzeitversuch", "Laboruntersuchung", "Boden", "Soil analysis", "Field experimentation", "agriculture", "Soil analysis", "Soil analysis", "Elements", "Carbon", "Nitrogen", "Sulphur", "Phosphorus", "analysis", "composition", "aquaculture", "methodology", "Potassium", "Magnesium", "Manganese", "Lead", "Calcium", "Calcium carbonate", "Texture", "Sand", "silt", "Clay", "Ammonium", "Titanium", "Cadmium", "Ions", "Nitrates", "Copper", "Molybdenum", "Zinc", "Nitrates", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE", "LTE", "LTSE", "Aqua regia"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "AG - Versuchswesen Service Experimental Station M\u00fcncheberg", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dietmar Barkusky", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://ltfe-map.bonares.de/", "rel": "information"}, {"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=9daca6bc-d1da-466d-bca4-b64c2b1ea116", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/v140_mun.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/05dda4f7-17f9-4b57-bf1d-21a51725eada", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "9daca6bc-d1da-466d-bca4-b64c2b1ea116", "name": "item", "description": "9daca6bc-d1da-466d-bca4-b64c2b1ea116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9daca6bc-d1da-466d-bca4-b64c2b1ea116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1963-01-01T00:00:00Z", "2009-12-31T00:00:00Z"]}}, {"id": "e6621805-d558-43ce-931f-e6d13374ead3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.11, 52.51], [14.11, 52.52], [14.13, 52.52], [14.13, 52.51], [14.11, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Landwirtschaft"}, {"id": "Langzeitversuch"}, {"id": "Laboruntersuchung"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil analysis"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Field experimentation"}, {"id": "agriculture"}, {"id": "Soil analysis"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil analysis"}, {"id": "Elements"}, {"id": "Carbon"}, {"id": "Nitrogen"}, {"id": "Sulphur"}, {"id": "Phosphorus"}, {"id": "analysis"}, {"id": "composition"}, {"id": "aquaculture"}, {"id": "methodology"}, {"id": "Potassium"}, {"id": "Magnesium"}, {"id": "Manganese"}, {"id": "Lead"}, {"id": "Calcium"}, {"id": "Calcium carbonate"}, {"id": "Texture"}, {"id": "Sand"}, {"id": "silt"}, {"id": "Clay"}, {"id": "Ammonium"}, {"id": "Titanium"}, {"id": "Cadmium"}, {"id": "Ions"}, {"id": "Nitrates"}, {"id": "Copper"}, {"id": "Molybdenum"}, {"id": "Zinc"}, {"id": "Nitrates"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE"}, {"id": "LTE"}, {"id": "LTSE"}, {"id": "Aqua regia"}], "scheme": "individual"}], "rights": "Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre (www.bonares.de). These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Laboratory data (soil)\". 10.20387/BonaRes-BSVY-R418 This data/file was excluded from further dissemination and should no longer be used. To cite the complete datacollection: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g To cite the individual table: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Table: V2_0_2012_BODENLABORWERTE. Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g", "updated": "2021-05-03", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from (launched in 1963) - Laboratory data (soil)", "description": "Child table of long-term field experiment V140 Muencheberg. \n\nTable with laboratory data of soil samples. General description about the V140 experiment can be found in the table V140 - Plots. More information about database schema, assorted literature overview, the detailed location plan, etc.can be found in the supplemental material.", "formats": [{"name": "CSV"}], "keywords": ["Landwirtschaft", "Langzeitversuch", "Laboruntersuchung", "Boden", "Soil analysis", "Field experimentation", "agriculture", "Soil analysis", "Soil analysis", "Elements", "Carbon", "Nitrogen", "Sulphur", "Phosphorus", "analysis", "composition", "aquaculture", "methodology", "Potassium", "Magnesium", "Manganese", "Lead", "Calcium", "Calcium carbonate", "Texture", "Sand", "silt", "Clay", "Ammonium", "Titanium", "Cadmium", "Ions", "Nitrates", "Copper", "Molybdenum", "Zinc", "Nitrates", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE", "LTE", "LTSE", "Aqua regia"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Experimental Station M\u00fcncheberg (Service)", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Experimental Infrastructure Platform", "roles": ["projectLeader"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dietmar Barkusky", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://ltfe-map.bonares.de/", "rel": "information"}, {"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=e6621805-d558-43ce-931f-e6d13374ead3", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/v140_mun_v2.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e1562f46-4a0d-4d8a-ac13-44cb47366e36", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "e6621805-d558-43ce-931f-e6d13374ead3", "name": "item", "description": "e6621805-d558-43ce-931f-e6d13374ead3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e6621805-d558-43ce-931f-e6d13374ead3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1963-01-01T00:00:00Z", "2012-12-31T00:00:00Z"]}}, {"id": "dc7b283a-8f19-45e1-aaed-e9bd515119bc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-04-10T12:01:26", "type": "Dataset", "language": "eng", "title": "WISE derived soil properties on a 30 by 30 arc-seconds global grid (WISE30sec)", "description": "This harmonized dataset of derived soil properties for the world (WISE30sec) is comprised of a soil-geographical and a soil attribute component. The GIS dataset was created using the soil map unit delineations of the broad scale Harmonised World Soil Database, version 1.21, with minor corrections, overlaid by a climate zones map (K\u00f6ppen-Geiger) as co-variate, and soil property estimates derived from analyses of the ISRIC-WISE soil profile database for the respective mapped \u2018soil/climate\u2019 combinations. \n\nThe dataset considers 20 soil properties that are commonly required for global agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil gaseous emissions, and analyses of global environmental change. It presents \u2018best\u2019 estimates for: organic carbon content, total nitrogen, C/N ratio, pH(H2O), CECsoil, CECclay, effective CEC, total exchangeable bases (TEB), base saturation, aluminium saturation, calcium carbonate content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity, particle size distribution (content of sand, silt and clay), proportion of coarse fragments (less than 2 mm), bulk density, and available water capacity (-33 to -1500 kPa); also the dominant soil drainage class. \n\nSoil property estimates are presented for fixed depth intervals of 20 cm up to a depth of 100 cm, respectively of 50 cm between 100 cm to 200 cm (or less when appropriate) for so-called \u2018synthetic\u2019 profiles\u2019 (as defined by their \u2018soil/climate\u2019 class). 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Geoderma 2016(269), 61-68 ( http://dx.doi.org/10.1016/j.geoderma.2016.01.034 )\n\nNote: \nThe chemical and physical soil property estimates generated for WISE30sec have been used to populate version 2.0 of the Harmonised World Soil Database (see https://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/54aebf11-ec73-4ff8-bf6c-ecff4b0725ea).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["organic carbon", "nitrogen", "pH", "cation exchange capacity", "effective cation exchange capacity", "exchangeable bases", "base saturation", "aluminium", "calcium carbonate", "gypsum", "sodium", "sand", "silt", "clay", "available water capacity", "bulk density", "coarse fragments", "drainage", "nutrients", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["publisher"], "phones": [{"value": "+31 317 483 735"}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "arc-second"}, "links": [{"href": "https://www.isric.org/projects/world-inventory-soil-emission-potentials-wise", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://library.wur.nl/WebQuery/wurpubs/fulltext/400244", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/wise/wise_30sec_v1.zip", "name": "WISE30sec", "description": "Dataset and GIS files", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://files.isric.org/public/wise/wise30sec_soc_gis_files.zip", "name": "WISE30sec_SOC_GIS_files", "description": "Dataset and SOC GIS layers. 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