{"type": "FeatureCollection", "features": [{"id": "10.1016/j.catena.2016.07.037", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2016-07-26", "title": "Effect Of Biochar Amendment On Morphology, Productivity And Water Relations Of Sunflower Plants Under Non-Irrigation Conditions", "description": "Open Accessp\u00e1ginas.-- 6 figuras.-- 2 tablas.-- 56 referencias.-- Supplementary data to this article can be found online at http://dx.doi.org/10.1016/j.catena.2016.07.037.", "keywords": ["2. Zero hunger", "Biochar", "Water availability", "0401 agriculture", " forestry", " and fisheries", "Organic amendment", "Soil properties", "04 agricultural and veterinary sciences", "Mediterranean climate", "15. Life on land", "Physiological parameters", "7. Clean energy", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2016.07.037"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2016.07.037", "name": "item", "description": "10.1016/j.catena.2016.07.037", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2016.07.037"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-01T00:00:00Z"}}, {"id": "10.1002/hyp.11203", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:36Z", "type": "Journal Article", "created": "2017-04-16", "title": "3D soil hydraulic database of Europe at 250\u00a0m resolution", "description": "Abstract                   <p>Soil hydraulic properties are required in various modelling schemes. We propose a consistent spatial soil hydraulic database at 7 soil depths up to 2\uffc2\uffa0m calculated for Europe based on SoilGrids250m and 1\uffc2\uffa0km datasets and pedotransfer functions trained on the European Hydropedological Data Inventory. Saturated water content, water content at field capacity and wilting point, saturated hydraulic conductivity and Mualem\uffe2\uff80\uff90van Genuchten parameters for the description of the moisture retention, and unsaturated hydraulic conductivity curves have been predicted. The derived 3D soil hydraulic layers (EU\uffe2\uff80\uff90SoilHydroGrids ver1.0) can be used for environmental modelling purposes at catchment or continental scale in Europe. Currently, only EU\uffe2\uff80\uff90SoilHydroGrids provides information on the most frequently required soil hydraulic properties with full European coverage up to 2\uffc2\uffa0m depth at 250\uffc2\uffa0m resolution.</p", "keywords": ["2. Zero hunger", "S1 Agriculture (General) / mez\u0151gazdas\u00e1g \u00e1ltal\u00e1ban", "QD Chemistry / k\u00e9mia", "Mualem-van Genuchten parameters", "0207 environmental engineering", "02 engineering and technology", "soil hydraulic conductivity", "15. Life on land", "S590 Soill / Talajtan", "01 natural sciences", "6. Clean water", "soil water retention", "multilayered gridded information", "13. Climate action", "EU-SoilHydroGrids", "3D European soil hydraulic maps", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.11203"}, {"href": "https://doi.org/10.1002/hyp.11203"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/hyp.11203", "name": "item", "description": "10.1002/hyp.11203", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/hyp.11203"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-30T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2019.03.190", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:24Z", "type": "Journal Article", "created": "2019-04-01", "title": "Dissolution and aggregation kinetics of zero valent copper nanoparticles in (simulated) natural surface waters: Simultaneous effects of pH, NOM and ionic strength", "description": "The combined effects of pH, dissolved organic carbon (DOC) and Ca2+/Mg2+ on the dissolution and aggregation kinetics of zero valent copper engineered nanoparticles (Cu0 ENPs) were investigated. The dissolution and aggregation of the particles were studied in (a) synthetic aqueous media, similar in chemistry to natural surface waters, and (b) natural surface waters samples, for up to 32 or 24\u202fh. The DOC stabilized the particles and prevented aggregation, and thus increased the available surface area. The higher available surface area in turn accelerated the dissolution of the particles. The presence of Ca2+/Mg2+, however, changed the aggregation and the dissolution of the DOC-stabilized particles. The influence of Ca2+/Mg2+ on DOC-stabilized particles was different at different pH's. In the absence of DOC, 10\u202fmM of Ca2+/Mg2+ induced charge reversal on the particles and caused particle stability against aggregation. This subsequently increased particles dissolution. The results obtained with regard to dissolution and aggregation of the particles in natural surface waters were compared with those determined for the synthetic waters. This comparison showed that the behavior of the particles in the natural surface waters was mostly similar to the behavior determined for media at pH 9. Overall, the current study provides some novel insights into the simultaneous effects of physicochemical parameters of water on particle stability against aggregation and dissolution, and provides data about how the processes of aggregation and dissolution of Cu0 ENPs interact and jointly determine the overall particle fate.", "keywords": ["Cations", " Divalent", "Environmental fate", "Osmolar Concentration", "0211 other engineering and technologies", "Metal Nanoparticles", "Fresh Water", "02 engineering and technology", "Hydrogen-Ion Concentration", "01 natural sciences", "Physico-chemical parameters", "6. Clean water", "Aggregation", "Kinetics", "Solubility", "Aggregation; Complexation; Copper nanoparticles; Dissolution; Environmental fate; Natural water; Physico-chemical parameters", "Complexation", "Natural water", "Calcium", "Magnesium", "Copper nanoparticles", "Organic Chemicals", "Dissolution", "Copper", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2019.03.190"}, {"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.2019.03.190", "name": "item", "description": "10.1016/j.chemosphere.2019.03.190", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2019.03.190"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1016/j.ecolind.2020.106817", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:30Z", "type": "Journal Article", "created": "2020-08-10", "title": "More tolerant than expected: Taking into account the ability of Cladonia portentosa to cope with increased nitrogen availability in environmental policy", "description": "Abstract   The lichen Cladonia portentosa is generally considered to be sensitive to increased environmental nitrogen (N) deposition. However, the presence of this lichen in impacted environments suggests that it can cope with prolonged exposure to high N availability. To test the tolerance of this species to N, photosynthetic parameters, carbon and N concentrations and isotopic signature, chitin concentration, surface pH and extracellular enzymatic activity were measured in samples exposed for 11\u00a0years to different N doses and forms at the Whim bog N manipulation experimental site (United Kingdom). The results showed that C. portentosa is tolerant to long-term exposure to wet N deposition, maintaining its functionality with almost unaltered physiological parameters. The comparison of the proteome of short- and long-term exposed samples showed similar changes in protein expression suggesting that mechanisms to cope with N are not dependent on the exposure time even after more than a decade. Since empirical N Critical Loads are based on the response of sensitive components of the ecosystem, like C. portentosa, its capacity to cope with short- and long-term exposure to N needs to be recognized and taken into account when setting them, likewise, the significance of the form of N.    Capsule  Updated knowledge on tolerance of sensitive species to nitrogen must be taken into account to establish environmental policy.", "keywords": ["Critical loads and levels", "Proteomics", "0106 biological sciences", "570", "long-term exposure", "Long-term exposure", "Algal ultrastructure; Critical loads and levels; Long-term exposure; Physiological response; Photosynthetic parameters; Proteomics", "algal ultrastructure", "Photosynthetic parameter", "15. Life on land", "01 natural sciences", "critical loads and levels", "Algal ultrastructure", "photosynthetic parameters. proteomics", "Algal ultrastructure; Critical loads and levels; Long-term exposure; Photosynthetic parameters; Physiological response; Proteomics", "Physiological response", "Photosynthetic parameters", "13. Climate action", "Critical loads and level", "physiological response", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/772327/7/More%20tolerant.pdf"}, {"href": "https://doi.org/10.1016/j.ecolind.2020.106817"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Indicators", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecolind.2020.106817", "name": "item", "description": "10.1016/j.ecolind.2020.106817", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecolind.2020.106817"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1016/j.fuel.2018.09.065", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:53Z", "type": "Journal Article", "created": "2018-09-24", "title": "A computational model to simulate self-heating ignition across scales, configurations, and coal origins", "description": "Abstract   Self-heating of fuel layers can trigger ignition when the temperature of the surroundings is sufficiently high. Self-heating ignition has been a hazard and safety concern in raw materials production, transportation, and storage facilities for centuries. Hot plate and oven-basket experiments are the two most used lab-scale experiments to assess the hazard of self-heating ignition. While extensive experiments have been done to study this phenomenon, modelling of the experiments is substantially lagging behind. A computational model that can accurately simulate self-heating ignition under the two experimental configurations has not been developed yet. In this study, we build such a model by coupling heat transfer, mass transfer, and chemistry using the open-source code Gpyro. Due to the accessibility of large amount of experimental data, coal is chosen as the material for model validation. A literature review of the kinetic parameters for coal samples from different origins reveals that there is a compensation effect between the activation energy and exponential factor. Combining the compensation effect with our model, we simulate 6 different experimental studies covering the two experimental configurations, a wide range of sample sizes (heights ranging from 5\u202fmm to 126\u202fmm), and various coal origins (6 countries). The model accurately predicts critical ignition temperature (Tig) for all 24 experiments with an error below 7\u202f\u00b0C. This computational model unifies for the first time the two most used self-heating ignition experiments and provides theoretical insights to understand self-ignition for different fuels under different conditions.", "keywords": ["Technology", "Engineering", " Chemical", "Energy & Fuels", "LOW-TEMPERATURE OXIDATION", "0306 Physical Chemistry (Incl. Structural)", "0904 Chemical Engineering", "Chemical", "7. Clean energy", "BIOMASS", "HOT SURFACE", "Engineering", "KINETIC-PARAMETERS", "Science & Technology", "Energy", "PYROLYSIS", "Hot plate", "THERMAL IGNITION", "DUST LAYERS", "LIGNITE", "624", "Ignition", "620", "Coal", "Self-heating", "13. Climate action", "Oven-basket", "BEHAVIOR", "SMOLDERING COMBUSTION", "0913 Mechanical Engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.fuel.2018.09.065"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Fuel", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fuel.2018.09.065", "name": "item", "description": "10.1016/j.fuel.2018.09.065", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fuel.2018.09.065"}, {"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": "10.1016/j.geoderma.2017.10.020", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:59Z", "type": "Journal Article", "created": "2017-11-06", "title": "Characterising and linking X-ray CT derived macroporosity parameters to infiltration in soils with contrasting structures", "description": "<p>Soils deliver the regulating ecosystem services of water infiltration and distribution, which can be controlled by macropores. Parameterizing macropore hydraulic properties is challenging due to the lack of direct measurement methods. With tension-disc infiltrometry hydraulic properties near saturation can be measured. Differentiating between hydrologically active and non-active pores, at a given water potential, indirectly assesses macropore continuity. Water flow through macropores is controlled by macropore size distribution, tortuosity, and connectivity, which can be directly derived by X-ray computed tomography (CT). Our objective was to parameterize macropore hydraulic properties based on the imaged macropore network of three horizons of an Andosol and a Gleysol. Hydraulic conductivity K <sub>unsat</sub> was derived from infiltration measurements. Soil cores from the infiltration areas were scanned with X-ray CT. K <sub>unsat</sub> was significantly higher in the Andosol than in the Gleysol at all water potentials, and decreased significantly with depth in both soils. The in situ measurements guided the definition of new macroporosity parameters from the X-ray CT reconstructions. For the Andosol, K <sub>unsat</sub> was best predicted using the imaged-limited macroporosity. A low total macroporosity, coupled with a high macropore density, indicated the abundance of smaller macropores, leading to homogeneous matrix flux. Imaged macropores were not well connected. In contrast, the Gleysol had a bi-modal macropore system with few very large, but well-connected macropores. K <sub>unsat</sub> was best predicted using the imaged macroporosity consisting only of macropores with diameters between 0.75 and 3 mm. Our research demonstrates that linking traditional soil physical measurements with soil-visualization techniques has a huge potential to improve parameterizing macropore hydraulic properties. The relevance of the relationships found in this study for larger scales and other soil types still needs to be tested, for example by a multi-scale investigation including a much wider range of different soils. </p>", "keywords": ["[SDE] Environmental Sciences", "Hydraulic parameters", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water", "Image analysis", "Tension disc in\ufb01ltrometr", "Tension disc infiltrometry", "Pore network", "13. Climate action", "Soil structure", "[SDE.ES] Environmental Sciences/Environment and Society", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.10.020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2017.10.020", "name": "item", "description": "10.1016/j.geoderma.2017.10.020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.10.020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2019.03.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:40Z", "type": "Journal Article", "created": "2019-03-13", "title": "Soil suppressiveness to Pythium ultimum in ten European long-term field experiments and its relation with soil parameters", "description": "Soil suppressiveness to pathogens is defined as the capacity of soil to regulate soil-borne pathogens. It can be managed by agricultural practices, but the effects reported so far remain inconsistent. Soil suppressiveness is difficult to predict and for this reason different soil properties have been linked to it with the aim to find informative indicators, but these relationships are not conclusive. The objectives of this study were i) to test if soil suppressiveness is affected by long-term agricultural management such as tillage and organic matter (OM) addition; ii) to understand the direct and indirect relationships between soil suppressiveness and labile organic carbon fractions; and iii) to understand the relationship between soil suppressiveness and other chemical, physical and biological soil quality indicators. We measured soil suppressiveness with a bioassay using Pythium ultimum - Lepidium sativum (cress) as a model system. The bioassay was performed in soils from 10 European long-term field experiments (LTEs) which had as main soil management practices tillage and/or organic matter addition. We found that the site had a stronger influence on soil suppressiveness than agricultural practices. Reduced tillage had a positive effect on the suppressive capacity of the soil across sites using an overall model. Organic farming and mineral fertilization increased soil suppressiveness in some LTEs, but no overall effect of OM was found when aggregating the LTEs. Soil suppressiveness across LTEs was linked mainly to microbial biomass and labile carbon in the soil, but not to total soil organic matter content. From structural equation modelling (SEM) we conclude that labile carbon is important for the maintenance of an abundant and active soil microbial community, which is essential for the expression of soil suppressiveness. However, soil suppressiveness could only partly (25%) be explained by the soil parameters measured, suggesting that other mechanisms contribute to soil suppressiveness such as the presence and the activity of specific bacterial and fungal taxa with high biocontrol activity.", "keywords": ["2. Zero hunger", "0301 basic medicine", "03 medical and health sciences", "Labile organic carbon", "0401 agriculture", " forestry", " and fisheries", "Cress bioassay", "04 agricultural and veterinary sciences", "Pythium ultimum", "15. Life on land", "Soil quality parameters", "Soil suppressiveness", "Soil management effects", "Tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2019.03.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2019.03.012", "name": "item", "description": "10.1016/j.soilbio.2019.03.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2019.03.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-01T00:00:00Z"}}, {"id": "10.5281/zenodo.4384530", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:20Z", "type": "Dataset", "title": "Soil profile, climatic, physiographic, overstory and understory data in mixed and monospecific plots of Pinus sylvestris and Pinus pinaster in Spain", "description": "Open AccessThis dataset provides valuable environmental information about a triplets\u2019 essay of Scots pine and Maritime pine in Spain. The data characterizes the soil profile (physicochemical parameters of organic and mineral horizons), climate, physiography, understory and overstory. The essay, located in North-Central Spain, consists of eighteen forest plots divided in six triplets. Each triplet includes three circular plots of 15 m-radius located less than 1 km from each other: two monospecific plots dominated by <em>P. sylvestris</em> or <em>P. pinaster</em>, and one mixed plot of both species. In each plot, one pit up to 50 cm depth, one 15 m-radius overstory features inventory and ten understory 1x1 m inventories were carried out. Additionally, physiographic and climatic variables were collected per plot. The file contains information about the 215 environmental variables studied in the eighteen forest plots. Triplet: Triplet to which the plot belongs(1: Triplet 1; 2: Triplet 2; 3: Triplet 3; 4: Triplet 4; 5: Triplet 5; 6: Triplet 6). Stand_type: Type of stand (PS: monospecific stand of <em>Pinus sylvestris</em> L.; PP: monospecific stand of <em>Pinus pinaster</em> Ait.; MM: mixed stand of <em>Pinus sylvestris</em> L.and <em>Pinus pinaster</em> Ait.). Plot: Plot identification (PS01: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 1; PS02: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 2; PS03: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 3; PS04: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 4; PS05: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 5; PS06: monospecific stand of <em>Pinus sylvestris</em> L. of triplet 6; MM01: mixed stand of <em>Pinus sylvestris</em> L.and <em>Pinus pinaster</em> Ait. of triplet 1; MM02: mixed stand of <em>Pinus sylvestris </em>L.and <em>Pinus pinaster</em> Ait. of triplet 2; MM03: mixed stand of <em>Pinus sylvestris</em> L.and <em>Pinus pinaster</em> Ait. of triplet 3; MM04: mixed stand of <em>Pinus sylvestris</em> L.and <em>Pinus pinaster</em> Ait. of triplet 4; MM05: mixed stand of <em>Pinus sylvestris </em>L.and <em>Pinus pinaster</em> Ait. of triplet 5; MM06: mixed stand of <em>Pinus sylvestris </em>L.and <em>Pinus pinaster Ait</em>. of triplet 6; PP01: monospecific stand of <em>Pinus pinaster</em> Ait. of triplet 1; PP02: monospecific stand of <em>Pinus pinaster</em> Ait. of triplet 2; PP03: monospecific stand of <em>Pinus pinaster </em>Ait. of triplet 3; PP04: monospecific stand of <em>Pinus pinaster</em> Ait. of triplet 4; PP05: monospecific stand of <em>Pinus pinaster</em> Ait. of triplet 5; PP06: monospecific stand of<em> Pinus pinaster </em>Ait. of triplet 6). Lat: Plot latitude in degrees. Long: Plot longitude in degrees. Province: Province to which the plot belongs (B:Province of Burgos; Sp: Province of Soria). Municipality: Municipality to which the plot belongs (M: Town of Mamolar; HP: Town of Hontoria del Pinar; N: Town of Navaleno; St: Town of Soria; CP: Town of Cabrejas del Pinar). Forest: Name of the forest where is located the plot (MB: Mata Blanca; MR: Mata Robledo; FP: Fuente del Pardo; PM: Pajar de la molinera; MP: Mojon Pardo; CM: Cueva de Matarubias). Alti: Plot elevation above sea level in m a.s.l. Slope: Slope (gradient) of the plot in percentage. Ori: Plot orientation in degrees. Clim: Climate clasification acording to K\u00f6ppen classification (1936) (Cfb: Temperate without dry season and temperate summer climate; Csb: Temperate with dry summer climate). XR: Accumulated rainfall in one year according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JR: January rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 mm FR: February rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. MR: March rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. AR: April rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. MyR: May rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JnR: June rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JlR: July rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. AgR: August rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. SR: September rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. OR: October rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. NR: November rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. DR: December rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. XT: Anual mean temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JT: January temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. FT: February temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. MT: March temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. AT: April temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. MyT: May temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JnT: June temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JlT: July temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. AgT: August temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. ST: September temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. OT: October temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. NT: November temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. DT: December temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. Par_mat: Soil parental material according to Spanish Geological Map on a 1M scale. (IGME , 2015) (SM: Sandstones and Marls). Geo_age: Geological age of plot according to Spanish Geological Map on a 1M scale. (IGME, 2015) (Mz: Mesozoic age). Soil: Soil type according to Soil-Survey-Staff (2014) (TpDx: Typic Dystroxerept; TpHx:: Typic Humixerept; AqHx:: Aquic humixerept) Litter_B: Total Leaf Litter Biomass in Mg/ha. FF_Th: Forest floor Thickness in cm. Fsh: Percentage of Fresh to Total Leaf Litter in %. Frg: Percentage of Fragmented to Total Leaf Litter in %. Hmf: Percentage of Humified to Total Leaf Litter in %. GH1: Fist genetic soil horizon according to Soil-Survey-Staff (2014) (Ah:: Mineral horizon with accumulation of organic matter. This horizon is formed at the soil surface or below an O horizon). GH2: Second genetic soil horizon according to Soil-Survey-Staff (2014) (AB: Transition horizon between A and B. A is a mineral horizon formed at the surface or below an O horizon, B is a subsurface horizon in which the structure of the rock is obliterated; AC: Transition horizon between A and C. A is a mineral horizon formed at the surface or below an O horizon; C is a mineral horizon, excluding hard bedrock, that is little affected by pedogenetic processes; Bw: Mineral B horizon where the development of colour or structure are its more important diagnostic characteristics). GH3: Third genetic soil horizon according to Soil-Survey-Staff (2014) (Bw: : Mineral B horizon where the development of colour or structure are its more important diagnostic characteristics; C: Mineral horizon, excluding hard bedrock, that is little affected by pedogenetic processes; Cg: Mineral horizon in which a distinct pattern of mottling occurs that reflects alternating conditions of oxidation and reduction of sesquioxides, caused by seasonal surface waterlogging). Th_H1: Thickness of the first soil horizon in cm. Th_H2: Thickness of the second soil horizon in cm. Th_H3: Thickness of the third soil horizon in cm. wetCol_H1: Wet matrix colour (Hue Value/Chroma) of the first soil horizon according to Munsell soil color chards (10YR2/1: black; 10YR2/2: very dark brown; 10YR3/1: very dark grey; 10YR3/2: very dark greyish brown; 10YR4/1: dark grey; 10YR6/3: pale brown). wetCol_H2: Wet matrix colour (Hue Value/Chroma) of the second soil horizon according to Munsell soil color chards (5YR5/8: yellowish red; 7.5YR4/6: strong brown; 10YR3/2: very dark greyish brown; 10YR4/1: dark grey; 10YR4/2: dark greyish brown; 10YR4/4: dark yellowish brown with chroma 4; 10YR4/6: dark yellowish brown with chroma 6; 10YR5/3: brown; 10YR5/4: yellowish brown with chroma 4; 10YR5/6: yellowish brown with chroma 6; 10YR5/8: yellowish brown with chroma 8; 10YR6/4: light yellowish brown; 10YR6/6: brownish yellow). wetCol_H3: Wet matrix colour (Hue Value/Chroma) of the third soil horizon according to Munsell soil color chards (5YR4/6: yellowish red; 10YR4/4: dark yellowish brown with chroma 4; 10YR4/6: dark yellowish brown with chroma 6; 10YR5/8: yellowish brown; 10YR6/1: grey). dryCol_H1:Dry matrix colour (Hue Value/Chroma) of the first soil horizon according to Munsell soil color chards (10YR4/1: dark grey; 10YR4/2: dark greyish brown; 10YR5/1: grey with value 5; 10YR5/2: greyish brown; 10YR5/3: brown; 10YR6/1: grey with value 6; 10YR6/2: light yellowish brown; 10YR7/2: light grey). dryCol_H2: Dry matrix colour (Hue Value/Chroma) of the second soil horizon according to Munsell soil color chards (7.5YR6/6: redish brown; 10YR4/1: dark grey; 10YR6/1: grey with value 6; 10YR6/2: light yellowish brown with chroma 2; 10YR6/3: pale brown; 10YR6/4: light yellowish brown with chroma 4; 10YR6/6: brownish yellow; 10YR7/3: very pale brown with value 7 and choma 3; 10YR7/4: very pale brown withvalue 7 and choma 4; 10YR8/4: very pale brown with value 8 and choma 4). dryCol_H3: Dry matrix colour (Hue Value/Chroma) of the third soil horizon according to Munsell soil color chards (5YR5/6: yellowish red; 7.5YR5/6: strong brown; 10YR6/4: light yellowish brown; 10YR6/6: brownish yellow; 10YR7/4: very pale brown; 10YR8/1: white). Sand_H1: Percentage of sand of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Sand_H2: Percentage of sand of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Sand_H3: Percentage of sand of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H1: Percentage of silt of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H2: Percentage of silt of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H3: Percentage of silt of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H1: Percentage of clay of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H2: Percentage of clay of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H3: Percentage of clay of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Tex_H1: Textural class of the first soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; LfS: Loamy Fine Sand; L: Loam). Tex_H2: Textural class of the second soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; LfS: Loamy Fine Sand; L: Loam, CL: Clay loam). Tex_H3: Textural class of the third soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; L: Loam; C: Clay). Stones_H1: Coarse soil material (&gt; 2 mm) of the first soil horizon in % weight/weight. Stones_H2: Coarse soil material (&gt; 2 mm) of the second soil horizon in % weight/weight. Stones_H3: Coarse soil material (&gt; 2 mm) of the third soil horizon in % weight/weight. %FR_H1: Fine roots (&lt; 5 mm) of the first soil horizon in %. %FR_H2: Fine roots (&lt; 5 mm) of the second soil horizon in %. %FR_H3: Fine roots (&lt; 5 mm) of the third soil horizon in %. %CR_H1: Coarse roots (&gt; 5 mm) of the first soil horizon in %. %CR_H2: Coarse roots (&gt; 5 mm) of the second soil horizon in %. %CR_H3: Coarse roots (&gt; 5 mm) of the third soil horizon in %. bD_H1: Bulk density of the first soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. bD_H2: Bulk density of the second soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. bD_H3: Bulk density of the third soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. pD_H1: Particle density of the first soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. pD_H2: Particle density of the second soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. pD_H3: Particle density of the third soil horizon according to MAPA (1994) in g/cm<sup>3</sup>. Poro_H1: Porosity of the first soil horizon according to MAPA (1994) in % vol/vol. Poro_H2: Porosity of the second soil horizon according to MAPA (1994) in % vol/vol. Poro_H3: Porosity of the third soil horizon according to MAPA (1994) in % vol/vol. pH_H1: pH (1:2.5 H2O) of the first soil horizon according to MAPA (1994) pH_H2: pH (1:2.5 H2O) of the second soil horizon according to MAPA (1994) pH_H3: pH (1:2.5 H2O) of the third soil horizon according to MAPA (1994) EC_H1: Electrical conductivity of the first soil horizon according to MAPA (1994) in dS/m. EC_H2: Electrical conductivity of the second soil horizon according to MAPA (1994) in dS/m. EC_H3: Electrical conductivity of the third soil horizon according to MAPA (1994) in dS/m. avP_H1: Available phosphorus of the first soil horizon according to Olsen and Sommers (1982) in mg/kg. avP_H2: Available phosphorus of the second soil horizon according to Olsen and Sommers (1982) in mg/kg. avP_H3: Available phosphorus of the third soil horizon according to Olsen and Sommers (1982) in mg/kg. avPstock_H1: Available phosphorus stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_H2: Available phosphorus stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_H3: Available phosphorus stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_50: Available phosphorus stock of whole soil profile up to 50 cm depth accorging to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TN_H1. Total nitrogen of the first soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TN_H2: Total nitrogen of the second soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TN_H3: Total nitrogen of the third soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TNstock_H1: Total nitrogen stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_H2: Total nitrogen stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_H3: Total nitrogen stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_50: Total nitrogen stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOC_H1: Total organic carbon of the first soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOC_H2: Total organic carbon of the second soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOC_H3: Total organic carbon of the third soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOCstock_H1:Total organic carbon stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_H2: Total organic carbon stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_H3: Total organic carbon stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_50: Total organic carbon stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. C/N_H1: Ratio of total organic carbon to total nitrogen of the first soil horizon C/N_H2 : Ratio of total organic carbon to total nitrogen of the second soil horizon C/N_H3: Ratio of total organic carbon to total nitrogen of the third soil horizon OxC_H1: Easily oxidizable carbon of the first soil horizon according to Walkley (1947) in mg/kg. OxC_H2: Easily oxidizable carbon of the second soil horizon according to Walkley (1947) in mg/kg. OxC_H3: Easily oxidizable carbon of the third soil horizon according to Walkley (1947) in mg/kg. OxCstock_H1: Easily oxidizable carbon stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_H2: Easily oxidizable carbon stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_H3: Easily oxidizable carbon stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_50: Easily oxidizable carbon stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. CEC_H1: Cation exchange capacity of the first soil horizon according to Mehlich (1953) in cmol<sub>+</sub>/kg. CEC_H2: Cation exchange capacity of the second soil horizon according to Mehlich (1953) in cmol<sub>+</sub>/kg. CEC_H3: Cation exchange capacity of the third soil horizon according to Mehlich (1953) in cmol<sub>+</sub>/kg. Na<sup>+</sup>_H1: Exchangeable sodium of the first soil horizon by means of extracting with 1N ammonium acetate (pH=7) (Schollenberger and Simon 1945) in cmol<sub>+</sub>/kg. Na<sup>+</sup>_H2: Exchangeable sodium", "keywords": ["Physicochemical soil profile parameters", "Mixed stand", "Understory characterization", "Overstory features", "Pinus sylvestris", "Pinus pinaster", "15. Life on land", "Climatic parameters"], "contacts": [{"organization": "Marcos, Daphne L\u00f3pez, Turri\u00f3n, Mar\u00eda-Bel\u00e9n, Bravo, Felipe, Mart\u00ednez-Ruiz, Carolina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4384530"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4384530", "name": "item", "description": "10.5281/zenodo.4384530", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4384530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-03T00:00:00Z"}}, {"id": "10.1038/s41396-021-01064-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:22Z", "type": "Journal Article", "created": "2021-07-27", "title": "Ammonia-oxidizing archaea possess a wide range of cellular ammonia affinities", "description": "Abstract                <p>Nitrification, the oxidation of ammonia to nitrate, is an essential process in the biogeochemical nitrogen cycle. The first step of nitrification, ammonia oxidation, is performed by three, often co-occurring guilds of chemolithoautotrophs: ammonia-oxidizing bacteria (AOB), archaea (AOA), and complete ammonia oxidizers (comammox). Substrate kinetics are considered to be a major niche-differentiating factor between these guilds, but few AOA strains have been kinetically characterized. Here, the ammonia oxidation kinetic properties of 12 AOA representing all major cultivated phylogenetic lineages were determined using microrespirometry. Members of the genus Nitrosocosmicus have the lowest affinity for both ammonia and total ammonium of any characterized AOA, and these values are similar to previously determined ammonia and total ammonium affinities of AOB. This contrasts previous assumptions that all AOA possess much higher substrate affinities than their comammox or AOB counterparts. The substrate affinity of ammonia oxidizers correlated with their cell surface area to volume ratios. In addition, kinetic measurements across a range of pH values supports the hypothesis that\uffe2\uff80\uff94like for AOB\uffe2\uff80\uff94ammonia and not ammonium is the substrate for the ammonia monooxygenase enzyme of AOA and comammox. Together, these data will facilitate predictions and interpretation of ammonia oxidizer community structures and provide a robust basis for establishing testable hypotheses on competition between AOB, AOA, and comammox.</p", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "BACTERIAL", "NITROSOMONAS-EUROPAEA", "GROUP I.1A", "Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften", " Biologie", "Ammonia/metabolism", "Bacteria/genetics", "OXIDATION", "Article", "03 medical and health sciences", "KINETIC-PARAMETERS", "Ammonia", "microbial ecolgoy", "TEMPERATURE", "Phylogeny", "Soil Microbiology", "Archaea/genetics", "106022 Mikrobiologie", "0303 health sciences", "Bacteria", "NICHE DIFFERENTIATION", "Archaea", "Nitrification", "SOIL", "NITROGEN", "archaeal physiology", "[SDE]Environmental Sciences", "106022 Microbiology", "metabolism", "Oxidation-Reduction", "COMPLETE NITRIFICATION"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/80979/1/Published_Version.pdf"}, {"href": "https://doi.org/10.1038/s41396-021-01064-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20ISME%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41396-021-01064-z", "name": "item", "description": "10.1038/s41396-021-01064-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41396-021-01064-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-02T00:00:00Z"}}, {"id": "10.1111/ejss.13398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:22Z", "type": "Journal Article", "created": "2023-07-12", "title": "National soil data in EU countries, where do we stand?", "description": "Abstract<p>At the European scale, soil characteristics are needed to evaluate soil quality, soil health and soil\uffe2\uff80\uff90based ecosystem services in the context of the European Green Deal. While some soil databases exist at the European scale, a much larger wealth of data is present in individual European countries, allowing a more detailed soil assessment. There is thus an urgent and crucial need to combine these data at the European scale. In the frame of a large European Joint Programme on agricultural soils launched by the European Commission, a survey was conducted in the spring of 2020, in the 24 European participating countries to assess the existing soil data sources, focusing on agricultural soils. The survey will become a contribution to the European Soil Observatory, launched in December 2020, which aims to collect metadata of soil databases related to all kind of land uses, including forest and urban soils. Based upon a comprehensive questionnaire, 170 soil databases were identified at local, regional and national scales. Soil parameters were divided into five groups: (1) main soil parameters according to the Global Soil Map specifications; (2) other soil chemical parameters; (3) other physical parameters; (4) other pedological parameters; and (5) soil biological features. A classification based on the environmental zones of Europe was used to distinguish the climatic zones. This survey shows that while most of the main pedological and chemical parameters are included in more than 70% of the country soil databases, water content, contamination with organic pollutants, and biological parameters are the least frequently reported parameters. Such differences will have consequences when developing an EU policy on soil health as proposed under the EU soil strategy for 2023 and using the data to derive soil health indicators. Many differences in the methods used in collecting, preparing, and analysing the soils were found, thus requiring harmonization procedures and more cooperation among countries and with the EU to use the data at the European scale. In addition, choosing harmonized and useful interpretation and threshold values for EU soil indicators may be challenging due to the different methods used and the wide variety of soil land\uffe2\uff80\uff90use and climate combinations influencing possible thresholds. The temporal scale of the soil databases reported is also extremely wide, starting from the '20s of the 20th century.</p", "keywords": ["Agricultural soil databases", "550", "EJP SOIL programme", "soil parameters", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "soil", "Soil", "Soil data", "11. Sustainability", "soil parameter", "survey", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "agricultural soil databases", "2. Zero hunger", "EJP SOIL", "harmonisation", "indicator", "15. Life on land", "6. Clean water", "Europe", "data", "13. Climate action", "Harmonization", "harmonization", "agricultural soil database", "soil data"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18926/1/European%20J%20Soil%20Science%20-%202023%20-%20Cornu%20-%20National%20soil%20data%20in%20EU%20countries%20where%20do%20we%20stand.pdf"}, {"href": "https://doi.org/10.1111/ejss.13398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13398", "name": "item", "description": "10.1111/ejss.13398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "10.1046/j.1365-2389.2000.00310.x", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:18:33Z", "type": "Journal Article", "created": "2003-03-11", "title": "Changes In Organic Matter, Nitrogen, Phosphorus And Cations In Soil As A Result Of Fire And Water Erosion In A Mediterranean Landscape", "description": "Summary<p>Fire affects large parts of the dry Mediterranean shrubland, resulting in erosion and losses of plant nutrients. We have attempted to measure these effects experimentally on a calcareous hillside representative of such shrubland. Experimental fires were made on plots (4\uffe2\uff80\uff83m \uffc3\uff97 20\uffe2\uff80\uff83m) in which the fuel was controlled to obtain two different fire intensities giving means of soil surface temperature of 439\uffc2\uffb0C and 232\uffc2\uffb0C with temperatures exceeding 100\uffc2\uffb0C lasting for 36\uffe2\uff80\uff83min and 17\uffe2\uff80\uff83min. The immediate and subsequent changes induced by fire on the soil's organic matter content and other soil chemical properties were evaluated, together with the impact of water erosion.</p><p>Seven erosive rain events, which occurred after the experimental fires (from August 1995 to December 1996), were selected, and on them runoff and sediment produced from each plot were measured. The sediments collected were weighed and analysed. Taking into account the variations induced by fire on the soil properties and their losses by water erosion, estimates of the net inputs and outputs of the soil system were made. Results show that the greatest losses of both soil and nutrients took place in the 4\uffe2\uff80\uff83months immediately after the fire. Plots affected by the most intense fire showed greater losses of soil (4077\uffe2\uff80\uff83kg\uffe2\uff80\uff83ha\uffe2\uff88\uff921) than those with moderate fire intensity (3280\uffe2\uff80\uff83kg\uffe2\uff80\uff83ha\uffe2\uff88\uff921). The unburned plots produced the least sediment (72.8\uffe2\uff80\uff83kg\uffe2\uff80\uff83ha\uffe2\uff88\uff921). Organic matter and nutrient losses by water erosion were related to the degree of fire intensity. However, the largest losses of N\uffe2\uff80\uff90NH4+ and N\uffe2\uff80\uff90NO3\uffe2\uff80\uff93 by water erosion corresponded to the moderate fire (8.1 and 7.5\uffe2\uff80\uff83mg\uffe2\uff80\uff83N\uffe2\uff80\uff83m\uffe2\uff88\uff922, respectively).</p>", "keywords": ["13. Climate action", "Parameters", "Infiltration", "0401 agriculture", " forestry", " and fisheries", "Vegetation fires", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1046/j.1365-2389.2000.00310.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1365-2389.2000.00310.x", "name": "item", "description": "10.1046/j.1365-2389.2000.00310.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1365-2389.2000.00310.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2000-06-01T00:00:00Z"}}, {"id": "10.1111/gcb.13065", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:25Z", "type": "Journal Article", "created": "2015-08-17", "title": "Responses Of Wheat And Rice To Factorial Combinations Of Ambient And Elevated Co2 And Temperature In Face Experiments", "description": "Abstract<p>Elevated CO2 and temperature strongly affect crop production, but understanding of the crop response to combined CO2 and temperature increases under field conditions is still limited while data are scarce. We grew wheat (Triticum aestivum L.) and rice (Oryza sativa L.) under two levels of CO2 (ambient and enriched up to 500\uffc2\uffa0\uffce\uffbcmol\uffc2\uffa0mol\uffe2\uff88\uff921) and two levels of canopy temperature (ambient and increased by 1.5\uffe2\uff80\uff932.0\uffc2\uffa0\uffc2\uffb0C) in free\uffe2\uff80\uff90air CO2 enrichment (FACE) systems and carried out a detailed growth and yield component analysis during two growing seasons for both crops. An increase in CO2 resulted in higher grain yield, whereas an increase in temperature reduced grain yield, in both crops. An increase in CO2 was unable to compensate for the negative impact of an increase in temperature on biomass and yield of wheat and rice. Yields of wheat and rice were decreased by 10\uffe2\uff80\uff9312% and 17\uffe2\uff80\uff9335%, respectively, under the combination of elevated CO2 and temperature. The number of filled grains per unit area was the most important yield component accounting for the effects of elevated CO2 and temperature in wheat and rice. Our data showed complex treatment effects on the interplay between preheading duration, nitrogen uptake, tillering, leaf area index, and radiation\uffe2\uff80\uff90use efficiency, and thus on yield components and yield. Nitrogen uptake before heading was crucial in minimizing yield loss due to climate change in both crops. For rice, however, a breeding strategy to increase grain number per m2 and % filled grains (or to reduce spikelet sterility) at high temperature is also required to prevent yield reduction under conditions of global change.</p>", "keywords": ["2. Zero hunger", "Nitrogen", "Climate Change", "Photosynthesis parameters", "Temperature", "Oryza", "04 agricultural and veterinary sciences", "Plant nitrogen status", "Carbon Dioxide", "Plant Components", " Aerial", "15. Life on land", "Radiation-use efficiency", "6. Clean water", "Yield components", "Free-air CO enrichment", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Oryza sativa L.", "Biomass", "Photosynthesis", "Triticum aestivum L.", "Triticum"]}, "links": [{"href": "https://doi.org/10.1111/gcb.13065"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.13065", "name": "item", "description": "10.1111/gcb.13065", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.13065"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-20T00:00:00Z"}}, {"id": "10.2139/ssrn.5039431", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:13Z", "type": "Report", "created": "2024-12-09", "title": "Soil Organic Carbon and Clay Prediction and Mapping Using EnMAP Data: A Sensor-and Domain-based Performance Comparison", "description": "Environmental Mapping and Analysis Program (EnMAP) hyperspectral sensor\u2019s data was employed for the prediction and mapping of SOC and clay in agricultural soils. Results were compared with those obtained from the Landsat 8-OLI (L08-OLI) multispectral and Sentinel-2 (S2) superspectral satellites data. The CASI/SASI (CS) airborne hyperspectral data was also used as the reference. Overall, EnMAP data showed enough promise, higher than satellite-based L08-OLI and S2 multispectral sensors, for prediction and mapping of SOC and clay in the agricultural topsoil.  The manuscript is about to be submitted after the final approval of all authors.", "keywords": ["spaceborne sensors", "EJP SOIL", "STEROPES", "modeling and prediction", "EnMAP", "soil parameters", "hyperspectral airborne", "bare soil selection"], "contacts": [{"organization": "Khosravi, Vahid, Gholizadeh, Asa, Saberioon, Mohammadmehdi, \u017d\u00ed\u017eala, Daniel, Chapman Agyeman, Prince, Kode\u0161ov\u00e1, Radka, Ju\u0159icov\u00e1, Anna, Klement, Ale\u0161, N\u011bme\u010dek, Karel, Dematt\u00ea, Jos\u00e9 Alexandre Melo, Bor\u016fvka, Lubo\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5039431"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5039431", "name": "item", "description": "10.2139/ssrn.5039431", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5039431"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.25505/fiz.icsd.cc1y46v4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:24Z", "type": "Dataset", "title": "CSD 1791516: Experimental Crystal Structure Determination", "description": "Related Article: Zoran Mazej, Evgeny Goreshnik|2017|Eur.J.Inorg.Chem.||2800|doi:10.1002/ejic.201700097", "keywords": ["Space Group", "Crystallography", "Crystal System", "Crystal Structure", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Mazej, Zoran, Goreshnik, Evgeny,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25505/fiz.icsd.cc1y46v4"}, {"rel": "self", "type": "application/geo+json", "title": "10.25505/fiz.icsd.cc1y46v4", "name": "item", "description": "10.25505/fiz.icsd.cc1y46v4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25505/fiz.icsd.cc1y46v4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.25505/fiz.icsd.cc247lpp", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:24Z", "type": "Dataset", "title": "CSD 1973512: Experimental Crystal Structure Determination", "description": "Related Article: Jialin Yu, Qi Gao, Lijuan Zhang, Yunshan Zhou, Yuxu Zhong, Jianbo Yin, Yuanyuan Zhou, Fangsheng Tao, Yong'an Wang|2020|Dalton Trans.|49|8122|doi:10.1039/D0DT01307B", "keywords": ["Space Group", "Crystallography", "Crystal System", "Crystal Structure", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Yu, Jialin, Gao, Qi, Zhang, Lijuan, Zhou, Yunshan, Zhong, Yuxu, Yin, Jianbo, Zhou, Yuanyuan, Tao, Fangsheng, Wang, Yong'an,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25505/fiz.icsd.cc247lpp"}, {"rel": "self", "type": "application/geo+json", "title": "10.25505/fiz.icsd.cc247lpp", "name": "item", "description": "10.25505/fiz.icsd.cc247lpp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25505/fiz.icsd.cc247lpp"}, {"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": "10.3390/land10090964", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:44Z", "type": "Journal Article", "created": "2021-09-12", "title": "The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\u2013or with some omissions\u2013, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.</p></article>", "keywords": ["ISLAND", "Environmental Studies", "Environmental Sciences & Ecology", "VINEYARDS", "soil-improving crop systems", "COVER CROPS", "3301 Architecture", "PARAMETERS", "4104 Environmental management", "EQUATION", "RUNOFF", "0502 Environmental Science and Management", "sustainable land management", "2. Zero hunger", "Science & Technology", "soil erosion", "S", "3304 Urban and regional planning", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water", "sustainable agriculture", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "CRETE", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://doi.org/10.3390/land10090964"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land10090964", "name": "item", "description": "10.3390/land10090964", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land10090964"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.3390/land11060774", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:21:45Z", "type": "Journal Article", "created": "2022-05-25", "title": "Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Methods enabling stakeholders to receive information on plant stress in agricultural settings in a timely manner can help mitigate a possible decrease in plant productivity. The present work aims to study the soil\u2013plant interaction using field measurements of plant reflectance, soil water content, and selected soil physical and chemical parameters. Particular emphasis was placed on sloping transects. We further compared ground- and Sentinel-2 satellite-based Normalized Vegetation Index (NDVI) time series data in different land use types. The Photochemical Reflectance Index (PRI) and NDVI were measured concurrently with calculating the fraction of absorbed photochemically active radiation (fAPAR) and leaf area index (LAI) values of three vegetation types (a grassland, three vineyard sites, and a cropland with maize). Each land use site had an upper and a lower study point of a given slope. The NDVI, fAPAR, and LAI averaged values were the lowest for the grassland (0.293, 0.197, and 0.51, respectively), which showed the highest signs of water stress. Maize had the highest NDVI values (0.653) among vegetation types. Slope position affected NDVI, PRI, and fAPAR values significantly for the grassland and cropland (p &lt; 0.05), while the soil water content (SWC) was different for all three vineyard sites (p &lt; 0.05). The strongest connections were observed between soil physical and chemical parameters and NDVI values for the vineyard samples and the selected soil parameters and PRI for the grassland. Measured and satellite-retrieved NDVI values of the different land use types were compared, and strong correlations (r = 0.761) between the methods were found. For the maize, the satellite-based NDVI values were higher, while for the grassland they were slightly lower compared to the field-based measurements. Our study indicated that incorporating Sentinel-derived NDVI can greatly improve the value of field monitoring and provides an opportunity to extend field research in more depth. The present study further highlights the close relations in the soil\u2013plant\u2013water system, and continuous monitoring can greatly help in developing site-specific climate change mitigating methods.</p></article>", "keywords": ["2. Zero hunger", "land use sites", "NDVI", "S", "Agriculture", "soil parameters", "04 agricultural and veterinary sciences", "15. Life on land", "spectral reflectance", "satellite imagery", "plant stress", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "land use sites; soil parameters; plant stress; spectral reflectance; NDVI; satellite imagery"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/6/774/pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/6/774/pdf"}, {"href": "https://doi.org/10.3390/land11060774"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11060774", "name": "item", "description": "10.3390/land11060774", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11060774"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-25T00:00:00Z"}}, {"id": "10.4067/s0718-95162012005000019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:22:04Z", "type": "Journal Article", "created": "2012-12-11", "description": "This study describes the effects of balanced versus nutrient-deficient fertilisation on soil nutrient content and selected oxidoreductase activity and kinetic parameters in a long-term (28 years) field experiment conducted using a phaeozem type soil in the Jilin Province of northeast China. As compared to no or unbalanced fertilisation, balanced fertilisation improved the overall chemical fertility of the soil and sig- nificantly increased the activities and Vmax values of soil dehydrogenase and cata- lase. Compared with control (CK), unbalanced fertilisation (with the exception of P deficiency) significantly increased the total carbon content and soil dehydrogenase activity but had less of an effect on the Vmax of the enzyme, whereas the soil cata- lase activity and its Vmax were less affected under unbalanced fertilisation condi- tions. The Km value of soil dehydrogenase increased with the application of chemi- cal NPK combined with farmyard manure but decreased under the application of NPK, NP, and PK. The Km value of soil catalase decreased under the application of NK and showed little difference between CK and the other fertilisation treatments. The variations in the activities and kinetic parameters of the enzymes revealed the benefits of long-term balanced fertilisation, particularly the combined application of chemical and organic fertilisers, by improving the chemical and biological fertility of phaeozem. The results also indicated that unbalanced fertilisation with P deficiency (NK) could enhance phaeozem quality, but this effect was limited.", "keywords": ["2. Zero hunger", "dehydrogenase", "Enzymatic kinetic parameters", "catalase", "15. Life on land", "01 natural sciences", "phaeozem", "6. Clean water", "fertilisation", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Shang, Z.C, Zhang, L.L, Wu, Z.J, Gong, P, Li, D.P, Zhu, P, Gao, H.J,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.4067/s0718-95162012005000019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20soil%20science%20and%20plant%20nutrition", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4067/s0718-95162012005000019", "name": "item", "description": "10.4067/s0718-95162012005000019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4067/s0718-95162012005000019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.1294607", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:23:11Z", "type": "Dataset", "title": "Soil, climatic, physiographic and stand data in Pinus sylvestris and Pinus halepensis plantations in Spain", "description": "Open AccessWhen using this data, please cite the original publications that generated the dataset:   Bueis T, Bravo F, Pando V, Turri\u00f3n M B (2016) Relationship between environmental parameters and Pinus sylvestris L. site index in forest plantations in northern Spain acidic plateau. iForest, 9: 394-401. DOI: 10.3832/ifor1600-008  Bueis T, Bravo F, Pando V, Turri\u00f3n M B (2017) Site factors as predictors for Pinus halepensis Mill. productivity in Spanish plantations. Annals of Forest Science, 74: 6. DOI: 10.1007/s13595-016-0609-7  Bueis T, Turri\u00f3n M B, Bravo F, Pando V, Muscolo A (2018) Factors determining enzyme activities in soils under Pinus halepensis Mill. and Pinus sylvestris L. plantations in Spain: a contribution to sustainable forest management. Annals of Forest Science, 75: 34. DOI: 10.1007/s13595-018-0720-z", "keywords": ["2. Zero hunger", "Aleppo pine", "forest productivity", "site parameters", "Scots pine", "15. Life on land", "Mediterranean", "site index", "soil biochemistry", "12. Responsible consumption"], "contacts": [{"organization": ", Bueis, , Bravo, , Pando, , Muscolo, , Turri\u00f3n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1294607"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1294607", "name": "item", "description": "10.5281/zenodo.1294607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1294607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-21T00:00:00Z"}}, {"id": "11585/772327", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:26:04Z", "type": "Journal Article", "created": "2020-08-10", "title": "More tolerant than expected: Taking into account the ability of Cladonia portentosa to cope with increased nitrogen availability in environmental policy", "description": "Abstract   The lichen Cladonia portentosa is generally considered to be sensitive to increased environmental nitrogen (N) deposition. However, the presence of this lichen in impacted environments suggests that it can cope with prolonged exposure to high N availability. To test the tolerance of this species to N, photosynthetic parameters, carbon and N concentrations and isotopic signature, chitin concentration, surface pH and extracellular enzymatic activity were measured in samples exposed for 11\u00a0years to different N doses and forms at the Whim bog N manipulation experimental site (United Kingdom). The results showed that C. portentosa is tolerant to long-term exposure to wet N deposition, maintaining its functionality with almost unaltered physiological parameters. The comparison of the proteome of short- and long-term exposed samples showed similar changes in protein expression suggesting that mechanisms to cope with N are not dependent on the exposure time even after more than a decade. Since empirical N Critical Loads are based on the response of sensitive components of the ecosystem, like C. portentosa, its capacity to cope with short- and long-term exposure to N needs to be recognized and taken into account when setting them, likewise, the significance of the form of N.    Capsule  Updated knowledge on tolerance of sensitive species to nitrogen must be taken into account to establish environmental policy.", "keywords": ["Critical loads and levels", "Proteomics", "0106 biological sciences", "570", "long-term exposure", "Long-term exposure", "Algal ultrastructure; Critical loads and levels; Long-term exposure; Physiological response; Photosynthetic parameters; Proteomics", "algal ultrastructure", "Photosynthetic parameter", "15. Life on land", "01 natural sciences", "critical loads and levels", "Algal ultrastructure", "photosynthetic parameters. proteomics", "Algal ultrastructure; Critical loads and levels; Long-term exposure; Photosynthetic parameters; Physiological response; Proteomics", "Physiological response", "Photosynthetic parameters", "13. Climate action", "Critical loads and level", "physiological response", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/45347/1/Munzi%20et%20al%202020.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/772327/7/More%20tolerant.pdf"}, {"href": "https://doi.org/11585/772327"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Indicators", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/772327", "name": "item", "description": "11585/772327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/772327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.5061/dryad.q428q", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:20Z", "type": "Dataset", "title": "Data from: Changes in plant, soil and microbes in a typical steppe from simulated grazing: explaining potential change in soil carbon", "description": "unspecifiedPlant  parametersThe data were collected  in the field. Excel was used to create the data. SE-standard error,  Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling;  DU+M-mowing combined with the addition of dung and urine; M+T-mowing  combined with trampling; DU+T-trampling combined with the addition of dung  and urine; DU+M+T-mowing combined with trampling and the addition of dung  and urineSoil  parametersThe data were collected  in the field. Excel was used to create the data. SE-standard error,  MBC-soil microbial biomass carbon, MBN- soil microbial biomass nitrogen.  Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling;  DU+M-mowing combined with the addition of dung and urine; M+T-mowing  combined with trampling; DU+T-trampling combined with the addition of dung  and urine; DU+M+T-mowing combined with trampling and the addition of dung  and urineSoil microbes'  parametersThe data were collected  in the field. Excel was used to create the data. SE-standard error,  Gram+-gram positive bacteria, Gram--gram negative bacteria, AMF-  arbuscular mycorrhizal fungi, B/F-bacteria to fungi ratio. Treatment: C-  control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing  combined with the addition of dung and urine; M+T-mowing combined with  trampling; DU+T-trampling combined with the addition of dung and urine;  DU+M+T-mowing combined with trampling and the addition of dung and  urinePCA and RDA analysis  data sheetThe data were collected  in the field. Excel was used to create the data. Gram+-gram positive  bacteria, Gram--gram negative bacteria, AMF- arbuscular mycorrhizal fungi,  B/F-bacteria to fungi ratio, SOC- soil organic carbon, TN- soil total  nitrogen, C/N-soil organic carbon to total nitrogen ratio. Treatment: C-  control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing  combined with the addition of dung and urine; M+T-mowing combined with  trampling; DU+T-trampling combined with the addition of dung and urine;  DU+M+T-mowing combined with trampling and the addition of dung and  urine", "keywords": ["2. Zero hunger", "Artemisia frigida", "15. Life on land", "Soil microbes' parameters", "6. Clean water", "13. Climate action", "Cleistogenes squarrosa", "Agropyron cristatum", "PCA and RDA analysis data sheet", "Plant parameters", "Potentilla acaulis", "Soil parameters", "Stipa krylovii", "Leymus chinensis"], "contacts": [{"organization": "Liu, Nan, Kan, Haiming, Yang, Gaowen, Zhang, Yingjun, Yang, G. W.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.q428q"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.q428q", "name": "item", "description": "10.5061/dryad.q428q", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.q428q"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-20T00:00:00Z"}}, {"id": "10.5194/egusphere-egu22-5811", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:33Z", "type": "Journal Article", "created": "2022-03-27", "title": "Agricultural management affects active carbon and nitrogen mineralisation potential in soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Soil organic matter (SOM) is important for soil fertility and climate change mitigation. Agricultural management - including soil amendments - can improve soil fertility and contribute to climate change mitigation by stabilising carbon in soils. This calls for cost-effective parameters to assess&amp;amp;#160; the influence of management practices on SOM. The current study aimed at understanding how sensitive the parameters active/permanganate oxidisable carbon (AC) and nitrogen mineralisation potential (NMP) react to different agricultural management practices compared to total organic carbon (TOC) and total nitrogen (Nt). We aimed to gain a better understanding of SOM processes, mainly regarding depth distribution and seasonality of SOM dynamics using AC and NMP.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data were obtained in five Austrian long-term field experiments (LTEs) testing four management practices: i) tillage, ii) compost application, iii) crop residue management, and iv) mineral fertilisation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AC was specifically sensitive in detecting the effect of tillage treatment at different soil depths. NMP differentiated between all different tillage treatments in the top soil layer, it showed the temporal dynamics between the years in the compost LTE, and it was identified as an early detection property in the crop residue LTE. Both AC and NMP detected short-term fluctuations better than TOC and Nt over the course of two years in the crop residue LTE. Thus, we suggest that AC and NMP are two valuable soil biochemical parameters providing more detailed information on C and N dynamics regarding depth distribution and seasonal dynamics and react more sensitively to different agricultural management practices compared to TOC and Nt. They should be integrated in monitoring agricultural LTEs and in field analyses conducted by farmers. However, when evaluating results of long-term carbon storage, their sensitivity towards annual fluctuations should be taken into account.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["DYNAMICS", "agricultural long-term experiments", "N-MINERALIZATION", "climate change mitigation", "", "agricultural long-term experiments", "", "climate change mitigation", "ORGANIC-CARBON", "soil organic matter", "SDG 13 - Climate Action", "ENZYME-ACTIVITIES", "SDG 2 \u2013 Kein Hunger", "106026 Ecosystem research", "SDG 2 - Zero Hunger", "early parameters of change", "TILLAGE", "2. Zero hunger", "106022 Mikrobiologie", "MICROBIAL BIOMASS", "CROP", "04 agricultural and veterinary sciences", "15. Life on land", "PERMANGANATE-OXIDIZABLE CARBON", "6. Clean water", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "106022 Microbiology", "0401 agriculture", " forestry", " and fisheries", "RESIDUE MANAGEMENT", "FRACTIONS"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.202100130"}, {"href": "https://doi.org/10.5194/egusphere-egu22-5811"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu22-5811", "name": "item", "description": "10.5194/egusphere-egu22-5811", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu22-5811"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.13791160", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:16Z", "type": "Journal Article", "created": "2022-03-27", "title": "Agricultural management affects active carbon and nitrogen mineralisation potential in soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Soil organic matter (SOM) is important for soil fertility and climate change mitigation. Agricultural management - including soil amendments - can improve soil fertility and contribute to climate change mitigation by stabilising carbon in soils. This calls for cost-effective parameters to assess&amp;amp;#160; the influence of management practices on SOM. The current study aimed at understanding how sensitive the parameters active/permanganate oxidisable carbon (AC) and nitrogen mineralisation potential (NMP) react to different agricultural management practices compared to total organic carbon (TOC) and total nitrogen (Nt). We aimed to gain a better understanding of SOM processes, mainly regarding depth distribution and seasonality of SOM dynamics using AC and NMP.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data were obtained in five Austrian long-term field experiments (LTEs) testing four management practices: i) tillage, ii) compost application, iii) crop residue management, and iv) mineral fertilisation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AC was specifically sensitive in detecting the effect of tillage treatment at different soil depths. NMP differentiated between all different tillage treatments in the top soil layer, it showed the temporal dynamics between the years in the compost LTE, and it was identified as an early detection property in the crop residue LTE. Both AC and NMP detected short-term fluctuations better than TOC and Nt over the course of two years in the crop residue LTE. Thus, we suggest that AC and NMP are two valuable soil biochemical parameters providing more detailed information on C and N dynamics regarding depth distribution and seasonal dynamics and react more sensitively to different agricultural management practices compared to TOC and Nt. They should be integrated in monitoring agricultural LTEs and in field analyses conducted by farmers. However, when evaluating results of long-term carbon storage, their sensitivity towards annual fluctuations should be taken into account.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["DYNAMICS", "agricultural long-term experiments", "N-MINERALIZATION", "climate change mitigation", "", "agricultural long-term experiments", "", "climate change mitigation", "ORGANIC-CARBON", "soil organic matter", "SDG 13 - Climate Action", "ENZYME-ACTIVITIES", "SDG 2 \u2013 Kein Hunger", "106026 Ecosystem research", "SDG 2 - Zero Hunger", "early parameters of change", "TILLAGE", "2. Zero hunger", "106022 Mikrobiologie", "MICROBIAL BIOMASS", "CROP", "04 agricultural and veterinary sciences", "15. Life on land", "PERMANGANATE-OXIDIZABLE CARBON", "6. Clean water", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "106022 Microbiology", "0401 agriculture", " forestry", " and fisheries", "RESIDUE MANAGEMENT", "FRACTIONS"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.202100130"}, {"href": "https://doi.org/10.5281/zenodo.13791160"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13791160", "name": "item", "description": "10.5281/zenodo.13791160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13791160"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.17523269", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-23T16:24:10Z", "type": "Dataset", "created": "2025-11-04", "title": "Environmental dataset from a restored mine slope in Northern Spain: comparative analysis of grassland, shrubland, and native oak forest", "description": "unspecifiedWhen using this data, please cite the original publications that generated the dataset:   L\u00f3pez-Marcos D, Turri\u00f3n MB, Garc\u00eda-Duro J, Mart\u00ednez-Ruiz C (2025) Soil thickness and porosity as indicators of the ecological restoration success: The case study of a reclaimed coal-mine slope in a Mediterranean area. Ecol Eng 222: 107783 https://doi.org/10.1016/j.ecoleng.2025.107783  L\u00f3pez-Marcos D, Turri\u00f3n MB, Mart\u00ednez-Ruiz C (2020) Linking soil variability with plant community composition along a mine-slope topographic gradient: Implications for restoration. Ambio 49: 337\u2013349. https://doi.org/10.1007/s13280-019-01193-y", "keywords": ["Postmining slope", "Plant cover", "Forest", "Grassland", "Shrubland", "Physicochemical soil parameters"], "contacts": [{"organization": "L\u00f3pez-Marcos, Daphne, Mart\u00ednez-Ruiz, Carolina, Turri\u00f3n, Mar\u00eda-Bel\u00e9n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17523269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17523269", "name": "item", "description": "10.5281/zenodo.17523269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17523269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-11-04T00:00:00Z"}}, {"id": "10.5281/zenodo.7464210", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:36Z", "type": "Dataset", "title": "CLSoilMaps: A national soil gridded product for Chile", "description": "unspecifiedFe de erratas: Available Water Capacity description had a minor error. We have updated the files description at the table below.       Soil att    File abreviation    Description    Units      Bulk density    Bulkd    Bulk density of the fine fraction    g/cm3      Clay    Clay    Clay content    %      Sand    Sand    Sand content    %      Silt    Silt    Silt content    %      Field Capacity    FC    Field capacity at 330kPa    cm3/cm3      Permanent Wilting Point    PWP    Permanent wilting point at 15000kPa    cm3/cm3      Available Water Capacity    AWC    Available water capacity as h*(FC-PWP), h = horizon depth in mm    mm      Total Available Water Capacity    Total_AWC    Sum of AWC across all depths    mm      Available Moisture    AvMoist    Available Moisture as FC-PWP    cm3/cm3    \u03b8r   theta_r    residual water content    cm3/cm3      \u03b8s    theta_s    saturated water content    cm3/cm3      \u03b1    alpha    'alpha' shape parameter    1/cm      npar    n    'n' shape parameter    -      Soil Hydraulic Conductivity    ksat    saturated hydraulic conductivity    cm/day", "keywords": ["2. Zero hunger", "13. Climate action", "Soil Physical properties", " Soil hydraulic parameters", " Digital Soil Mapping", " Chile", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7464210"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7464210", "name": "item", "description": "10.5281/zenodo.7464210", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7464210"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-20T00:00:00Z"}}, {"id": "10.5517/ccdc.csd.cc25lqr8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:49Z", "type": "Dataset", "title": "CCDC 2014000: Experimental Crystal Structure Determination", "description": "Related Article: H. Jiang, Y.-L. Li, J. Zhou, H.-S. Sun, Q.-Y. Zhang, X.-H. Shi, Z.-Y. Zhang, T. Ling|2020|IUCrData|5|x200912|doi:10.1107/S2414314620009128", "keywords": ["Space Group", "Crystallography", "Crystal System", "Crystal Structure", "diethyl 3", "3'-[(3-fluorophenyl)methylene]bis(1H-indole-2-carboxylate)", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Jiang, H., Li, Y.-L., Zhou, J., Sun, H.-S., Zhang, Q.-Y., Shi, X.-H., Zhang, Z.-Y., Ling, T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5517/ccdc.csd.cc25lqr8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5517/ccdc.csd.cc25lqr8", "name": "item", "description": "10.5517/ccdc.csd.cc25lqr8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5517/ccdc.csd.cc25lqr8"}, {"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": "10.5281/zenodo.8340380", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:45Z", "type": "Dataset", "title": "TUdi-Vinedivers_Vineyard_Soil_Data_Austria", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Soil physical parameters", "vineyards", "Soil organic carbon", "management", " vineyards", " soil physical parameters", " Soil organic carbon", "15. Life on land", "Vineyards", "Management"], "contacts": [{"organization": "Liebhard Gunther, Strauss Peter,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8340380"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8340380", "name": "item", "description": "10.5281/zenodo.8340380", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8340380"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-13T00:00:00Z"}}, {"id": "10.5281/zenodo.8340381", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:46Z", "type": "Dataset", "title": "TUdi-Vinedivers_Vineyard_Soil_Data_Austria", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Soil physical parameters", "vineyards", "Soil organic carbon", "management", " vineyards", " soil physical parameters", " Soil organic carbon", "15. Life on land", "Vineyards", "Management"], "contacts": [{"organization": "Gunther, Liebhard, Peter, Strauss,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8340381"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8340381", "name": "item", "description": "10.5281/zenodo.8340381", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8340381"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-13T00:00:00Z"}}, {"id": "10.5517/ccdc.csd.cc27k21y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:49Z", "type": "Dataset", "title": "CCDC 2071979: Experimental Crystal Structure Determination", "description": "unspecifiedAn entry from the Cambridge Structural Database, the world\u2019s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.", "keywords": ["bis(mu-methanediolato)-bis(N1", "N2-bis[2", "6-bis(propan-2-yl)phenyl]acenaphthylene-1", "2-diimine radical anion)-di-aluminium(iii) toluene solvate", "Space Group", "Crystallography", "Crystal System", "Crystal Structure", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Koptseva, Tatyana S., Moskalev, Mikhail V., Skatova, Alexandra A., Rumyantcev, Roman V., Fedushkin, Igor L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5517/ccdc.csd.cc27k21y"}, {"rel": "self", "type": "application/geo+json", "title": "10.5517/ccdc.csd.cc27k21y", "name": "item", "description": "10.5517/ccdc.csd.cc27k21y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5517/ccdc.csd.cc27k21y"}, {"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": "10.5517/ccdc.csd.cc28qg8r", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:49Z", "type": "Dataset", "title": "CCDC 2106954: Experimental Crystal Structure Determination", "description": "unspecifiedAn entry from the Cambridge Structural Database, the world\u2019s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.", "keywords": ["Space Group", "Crystallography", "Crystal System", "Crystal Structure", "Cell Parameters", "bis(N-{2-hydroxy-2-[4-hydroxy-3-(hydroxymethyl)phenyl]ethyl}-2-methylpropan-2-aminium) ethanedioate", "Experimental 3D Coordinates"], "contacts": [{"organization": "Al-Ani, Aneesa J., Szell, Patrick M. J., Rehman, Zainab, Blade, Helen, Wheatcroft, Helen P., Hughes, Leslie P., Brown, Steven P., Wilson, Chick C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5517/ccdc.csd.cc28qg8r"}, {"rel": "self", "type": "application/geo+json", "title": "10.5517/ccdc.csd.cc28qg8r", "name": "item", "description": "10.5517/ccdc.csd.cc28qg8r", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5517/ccdc.csd.cc28qg8r"}, {"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": "10.5517/cc100rqh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:49Z", "type": "Dataset", "title": "CCDC 924256: Experimental Crystal Structure Determination", "description": "unspecifiedAn entry from the Cambridge Structural Database, the world\u2019s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. 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