{"type": "FeatureCollection", "facets": {"type": {"type": "terms", "property": "type", "buckets": [{"value": "Journal Article", "count": 834}, {"value": "Dataset", "count": 232}, {"value": "Report", "count": 15}, {"value": "Service", "count": 10}, {"value": null, "count": 10}, {"value": "Other", "count": 1}]}, "soil_chemical_properties": {"type": "terms", "property": "soil_chemical_properties", "buckets": [{"value": "carbon", "count": 680}, {"value": "soil organic carbon", "count": 438}, {"value": "soil organic matter", "count": 66}, {"value": "carbon stocks", "count": 32}, {"value": "methane", "count": 20}, {"value": "nitrous oxide", "count": 19}, {"value": "potassium", "count": 18}, {"value": "iron", "count": 17}, {"value": "sulphur", "count": 13}, {"value": "calcium", "count": 13}, {"value": "soil carbon stocks", "count": 13}, {"value": "magnesium", "count": 11}, {"value": "nitrate", "count": 11}, {"value": "zinc", "count": 10}, {"value": "aluminium", "count": 9}, {"value": "manganese", "count": 9}, {"value": "cation exchange capacity", "count": 9}, {"value": "mineral fertilisers", "count": 9}, {"value": "boron", "count": 8}, {"value": "ammonia", "count": 5}, {"value": "copper", "count": 5}, {"value": "cadmium", "count": 4}, {"value": "urea", "count": 2}, {"value": "base cations", "count": 1}, {"value": "nutrients", "count": 1}]}, "soil_biological_properties": {"type": "terms", "property": "soil_biological_properties", "buckets": [{"value": "plants", "count": 58}, {"value": "respiration", "count": 33}, {"value": "microbial biomass", "count": 27}, {"value": "vegetation", "count": 9}, {"value": "microbiome", "count": 7}, {"value": "biomass production", "count": 2}, {"value": "environmental compartments", "count": 2}, {"value": "rooting", "count": 2}, {"value": "biodiversity", "count": 1}, {"value": "soil biological activity", "count": 1}, {"value": "soil organisms", "count": 1}]}, "soil_physical_properties": {"type": "terms", "property": "soil_physical_properties", "buckets": [{"value": "water", "count": 39}, {"value": "bulk density", "count": 15}, {"value": "aggregate stability", "count": 8}, {"value": "drainage", "count": 2}, {"value": "soil stability", "count": 2}, {"value": "hydraulic conductivity", "count": 1}]}, "soil_classification": {"type": "terms", "property": "soil_classification", "buckets": [{"value": "agricultural soils", "count": 12}, {"value": "forest soils", "count": 12}, {"value": "sandy soils", "count": 5}, {"value": "entisols", "count": 2}, {"value": "alfisols", "count": 1}]}, "soil_functions": {"type": "terms", "property": "soil_functions", "buckets": [{"value": "soil fertility", "count": 41}, {"value": "decomposition", "count": 26}, {"value": "ecosystem services", "count": 12}, {"value": "land cover change", "count": 12}, {"value": "crop yields", "count": 10}, {"value": "food security", "count": 7}, {"value": "productivity", "count": 5}, {"value": "climate resilience", "count": 3}, {"value": "water conservation", "count": 3}, {"value": "food production", "count": 2}, {"value": "plant nutrients", "count": 2}, {"value": "soil biodiversity", "count": 1}, {"value": "species diversity", "count": 1}]}, "soil_threats": {"type": "terms", "property": "soil_threats", "buckets": [{"value": "soil erosion", "count": 12}, {"value": "soil degradation", "count": 8}, {"value": "land degradation", "count": 5}, {"value": "soil acidification", "count": 5}, {"value": "acidification", "count": 3}, {"value": "desertification", "count": 3}, {"value": "environmental degradation", "count": 3}, {"value": "soil sealing", "count": 3}, {"value": "waterlogging", "count": 3}, {"value": "acidic precipitation", "count": 1}, {"value": "anthropogenic erosion", "count": 1}, {"value": "soil pollution", "count": 1}, {"value": "urbanisation", "count": 1}]}, "soil_processes": {"type": "terms", "property": "soil_processes", "buckets": [{"value": "greenhouse gas emissions", "count": 4}, {"value": "sedimentation", "count": 2}]}, "soil_management": {"type": "terms", "property": "soil_management", "buckets": [{"value": "plant residues", "count": 11}, {"value": "cultivation", "count": 8}, {"value": "compost", "count": 7}, {"value": "animal manure", "count": 1}, {"value": "biomaterials", "count": 1}, {"value": "liming", "count": 1}, {"value": "soil protection", "count": 1}, {"value": "soil rehabilitation", "count": 1}]}, "ecosystem_services": {"type": "terms", "property": "ecosystem_services", "buckets": [{"value": "terrestrial ecosystems", "count": 7}, {"value": "ecosystem functioning", "count": 3}, {"value": "ecosystem functions", "count": 1}]}}, "features": [{"id": "10.5281/zenodo.10107603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:43Z", "type": "Dataset", "title": "Physicochemical parameters of soils and substrates associated with Peltigera lichens in southern Chile", "description": "unspecifiedThe production of this dataset was supported by ANID \u2013 FONDECYT 1181510 and ANID \u2013 Programa Iniciativa Cient\u00edfica Milenio ICN2021_002.", "keywords": ["Soil", "Water content", "pH", "Peltigera", "Lichen", "Phosphorus", "15. Life on land", "Chile", "Nitrate", "Organic carbon", "Ammonium"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10107603"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10107603", "name": "item", "description": "10.5281/zenodo.10107603", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10107603"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-10T00:00:00Z"}}, {"id": "10.5281/zenodo.10118120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:43Z", "type": "Dataset", "title": "Soil grid data for 4 agricultural fields in PT (ECe; soil organic carbon, pH)", "description": "Soil data collected in an agricultural area with annual crops in Portugal (Lez\u00edria Grande). The data refers to soil properties of 63 soil samples collected at a depth of 0-20 cm, considering a regular sampling grid, in four fields with varying soil salinity (field areas between 2 and 34 ha). The samples were collected at a period when the soil was bare, following the harvest of the annual crops, and pictures of the soil surface were taken for eventual correction of corresponding remote sensing imaging. The data includes: soil organic carbon (SOC) (Walkley-Black method), soil water content, electric conductivity of the saturated soil paste (ECe), EC1:5, and \u00a0pH1:5.\u00a0 The data may be representative of the soil conditions of the area, which is a highly productive agricultural low land, prone to the development of soil salinity as a result of the rise of saline groundwater and/or irrigation. The data can be used to establish relations between soil salinity (ECe) and other soil properties as well as build prediction models of the soil properties from remote sensing namely, for developing models for SOC prediction under the STEROPES project (WP5 (WP5-T3) and WP2 (WP2-T3)).The aim of the collected dataset was to be able to analyze the influence of soil salinity in SOC prediction from remote sensing. Data in the form of MS Excel files (xlsx), pictures of the soil surface in jpg. format.", "keywords": ["2. Zero hunger", "soil organic carbon", "Soil salinity", "STEROPES", "EJPSOIL", "15. Life on land"], "contacts": [{"organization": "Paz, A. M., Farzamian, M., Antunes, Jo\u00e3o,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10118120"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10118120", "name": "item", "description": "10.5281/zenodo.10118120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10118120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.10454335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:46Z", "type": "Journal Article", "created": "2023-01-31", "title": "Long-term contrasting tillage in Cambisol: effect on water-stable aggregates, macropore network and soil chemical properties", "description": "The aggregate stability of the soil is subject to theinfluence of anthropogenic factors and is of great interest all overthe world. The research aimed to quantify the correlations betweensoil organic carbon, total nitrogen, total phosphorus, and totalpotassium, soil macropore parameters and water-stable aggregatesunder no-tillage and conventional tillage in Cambisol. The contentof water-stable aggregates and macroporosity tended to increasein the following order: conventional tillage (returned residues)< conventional tillage (removed residues) < no-tillage (removedresidues) < no-tillage (returned residues) in both fertilizations.The relationships between total nitrogen and various soil factorswere investigated: soil organic carbon (r = 0.65, p < 0.05), totalphosphorus (r = 0.65, p < 0.05), were statistically significant. Soilorganic carbon and total nitrogen were positively correlated withwater-stable aggregates (r = 0.81, p < 0.01 and r = 0.68, p < 0.05,respectively), whereas the relationship between total potassiumand water-stable aggregates was negative. The relationshipbetween total phosphorus and water-stable aggregates (r = 0.62,p < 0.05) was positive. The soil chemical properties, macroporesand water-stable aggregates that were averaged across theresidues and fertilizations were higher in no-tillage than in conventionaltillage. Soil organic carbon, total nitrogen and totalphosphorus all had a positive direct influence on the formation ofwater-stable aggregates under different tillage conditions. Sinceour results are largely based on correlations, the mechanismsof interaction between the soil chemical properties, water-stableaggregates and the formation of pores in the soil need to beexplored further in future investigations.", "keywords": ["soil organic carbon", "2. Zero hunger", "Cambisoil", "13. Climate action", "conventional tillage", "no-tillage", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "X-ray computed tomography", ""]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10454335"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Agrophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10454335", "name": "item", "description": "10.5281/zenodo.10454335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10454335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-31T00:00:00Z"}}, {"id": "11353/10.2114337", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:09Z", "type": "Journal Article", "created": "2024-08-05", "title": "Distinct microbial communities are linked to organic matter properties in millimetre-sized soil aggregates", "description": "Abstract                   <p>Soils provide essential ecosystem services and represent the most diverse habitat on Earth. It has been suggested that the presence of various physico-chemically heterogeneous microhabitats supports the enormous diversity of microbial communities in soil. However, little is known about the relationship between microbial communities and their immediate environment at the micro- to millimetre scale. In this study, we examined whether bacteria, archaea, and fungi organize into distinct communities in individual 2-mm-sized soil aggregates and compared them to communities of homogenized bulk soil samples. Furthermore, we investigated their relationship to their local environment by concomitantly determining microbial community structure and physico-chemical properties from the same individual aggregates. Aggregate communities displayed exceptionally high beta-diversity, with 3\uffe2\uff80\uff934 aggregates collectively capturing more diversity than their homogenized parent soil core. Up to 20%\uffe2\uff80\uff9330% of ASVs (particularly rare ones) were unique to individual aggregates selected within a few centimetres. Aggregates and bulk soil samples showed partly different dominant phyla, indicating that taxa that are potentially driving biogeochemical processes at the small scale may not be recognized when analysing larger soil volumes. Microbial community composition and richness of individual aggregates were closely related to aggregate-specific carbon and nitrogen content, carbon stable-isotope composition, and soil moisture, indicating that aggregates provide a stable environment for sufficient time to allow co-development of communities and their environment. We conclude that the soil microbiome is a metacommunity of variable subcommunities. Our study highlights the necessity to study small, spatially coherent soil samples to better understand controls of community structure and community-mediated processes in soils.</p", "keywords": ["0301 basic medicine", "millimetre-scale", "archaea", "Nitrogen", "bulk soil samples", "individual aggregates", "diversity", "soil", "Soil", "03 medical and health sciences", "106026 Ecosystem research", "bacteria", "Soil Microbiology", "106022 Mikrobiologie", "0303 health sciences", "Bacteria", "Microbiota", "Fungi", "Biodiversity", "15. Life on land", "Archaea", "Carbon", "106026 \u00d6kosystemforschung", "106022 Microbiology", "Original Article", "fungi", "community structure", "environment"]}, "links": [{"href": "https://academic.oup.com/ismej/article-pdf/18/1/wrae156/58820679/wrae156.pdf"}, {"href": "https://doi.org/11353/10.2114337"}, {"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": "11353/10.2114337", "name": "item", "description": "11353/10.2114337", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11353/10.2114337"}, {"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": "10.5281/zenodo.10952030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:58Z", "type": "Dataset", "title": "Radiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Mineral Soils of a Boreal Forest Ecosystem", "description": "Files for the manuscript \u201cRadiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Soils and Fast Cycling of a Boreal Forest Ecosystem\u201d  \u00a0  1. \u201cRaw_Data\u201d folder contains the files in .xlsx:  - Lab_Atmospheric_Samples: D14C results from ambient air at the sampled heights.  - Lab_Soil_Respiration: D14C results with date and integration time for the FFSR sampling\u00a0 campaign.  - Lab_Solid_Samples:\u00a0 D14C and TOC results for soil, vegetation, roots, fungi and incubation samples.", "keywords": ["Sweden", "Soil sciences", "climate change", "soil organic matter", "carbon", "radiocarbon", "carbon dioxide", "boreal forest", "Climatic changes"], "contacts": [{"organization": "Tangarife Escobar, Andres, Guggenberger, Georg, Feng, Xiaojuan, Mu\u00f1oz, Estefania, Chanca, Ingrid, Peichl, Matthias, Smith, Paul, Sierra, Carlos,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10952030"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10952030", "name": "item", "description": "10.5281/zenodo.10952030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10952030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-10T00:00:00Z"}}, {"id": "10.5281/zenodo.11069166", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:00Z", "type": "Dataset", "title": "Soil health explains the yield-stabilizing effects of soil organic matter under drought", "description": "unspecifiedThis work was supported by a U.S. Department of Agriculture Hatch grant FLA-SWS-006103 to YL.", "keywords": ["2. Zero hunger", "drought resilience", "soil organic carbon", "soil health score", "13. Climate action", "soil organic matter", "15. Life on land", "6. Clean water", "soil health assessment"], "contacts": [{"organization": "Mahmood, Swarnali, Nunes, M\u00e1rcio R., Kane, Daniel A., Lin, Yang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11069166"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11069166", "name": "item", "description": "10.5281/zenodo.11069166", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11069166"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-27T00:00:00Z"}}, {"id": "10.5281/zenodo.11104398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:00Z", "type": "Report", "title": "EJP SOIL Evaluation and Outcome Report on Ongoing Projects", "description": "The document is an evaluation report of the progress and outcomes of the research projects of the 1st and 2nd internal calls in M24 of the 5 year programme EJP SOIL. It includes a short description of the background of EJP SOIL and a summary of each internal project with their main results by then.", "keywords": ["ecosystem", "climate change", "carbon", "15. Life on land", "soil management"], "contacts": [{"organization": "Lepp\u00e4l\u00e4, Johanna; Kujala, Marja; Kyt\u00f6, Maarit, Rodr\u00edguez, Elena; Carrasco, Violeta, MInixhofer, Pia; Stangl, Rosemarie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11104398"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11104398", "name": "item", "description": "10.5281/zenodo.11104398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11104398"}, {"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": "10.5281/zenodo.1211769", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:03Z", "type": "Dataset", "title": "A global distribution of dissolved organic carbon in soil and in leaching - (database)", "description": "Current global carbon (C) models are not representing the fraction of C which is displaced along the terrestrial aquatic continuum thus overestimating the land sink capacity. In order to obtain more reliable C budgets, we need to integrate the lateral transfers of C from terrestrial ecosystems through the inland water network down to the oceans, including biogeochemical transformation during transport and C exchange with the atmosphere.Representing the production and cycling of dissolved organic C (DOC) in the soil column and the leaching of DOC into the inland water network is a first major step in this development. In this study we used newly developed model JULES-DOCM to obtain the first global estimate of global soil DOC stock and DOC concentration, DOC concentration in runoff and DOC leaching flux. In this dataset model produced files are stored as netcdf files including soil DOC stocks (at Top (0-35 cm) and Total soil (0-300cm), soil DOC concentration (at Top (0-35 cm) and Bottom ( 35-300cm)), DOC leaching flux (averaged over 1980-2010) and DOC concentration in runoff (averaged over 1980-2010). The measured DOC collected database is enclosed as the Excel file.", "keywords": ["13. Climate action", "15. Life on land", "Dissolved organic carbon", "DOC leaching"], "contacts": [{"organization": "Nakhavali, Mahdi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1211769"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1211769", "name": "item", "description": "10.5281/zenodo.1211769", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1211769"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-03T00:00:00Z"}}, {"id": "10.5281/zenodo.13236749", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Dataset", "title": "Gridded spatial information on soil organic carbon content, density and stock in Hungary for 1992 and 2000", "description": "Predictive soil organic carbon (SOC) content, density, and stock maps, along with the associated prediction uncertainty, are provided for the years 1992 and 2000, for the entire territory of Hungary. The maps refer to the topsoils (0\u201330 cm) with a spatial resolution of 100\u2a2f100 m. The uncertainty associated with the SOC property maps is expressed by the lower and upper limits of the 90% prediction interval (PI), the range of values within which the true value is expected to occur 9 times out of 10. This means that there are two maps to each SOC property map, quantifying its prediction uncertainty. It should be added that all maps have been masked with open water bodies, as these areas are not relevant for soils.  For more details / to cite this dataset please use:  Szatm\u00e1ri, G., Laborczi, A., M\u00e9sz\u00e1ros, J., Tak\u00e1cs, K., Ben\u0151, A., Ko\u00f3s, S., Bakacsi, Z., & P\u00e1sztor, L. (2024). Gridded, temporally referenced spatial information on soil organic carbon for Hungary. Scientific Data 11, 1312.  Custom code used for digital soil mapping and validation is available on GitHub:  https://github.com/GaborSzatmari/HU-SOC-mapping  Description of the files:  The resulting maps are shared as GeoTIFF files. The coordinate reference system is the Hungarian Unified National Projection System (HD72/EOV; EPSG: 23700) (https://epsg.io/23700). The table below provides further information on the published maps. Note that the first file (00_Overview.jpg) gives an overview of the SOC property maps.       SOC property maps    Unit    Year    Filename      SOC content map    [g \u2219 kg-1]    1992    SOCc_0_30cm_1992_pred.tif      SOC content, lower limit of the 90% PI    [g \u2219 kg-1]    1992    SOCc_0_30cm_1992_q05.tif      SOC content, upper limit of the 90% PI    [g \u2219 kg-1]    1992    SOCc_0_30cm_1992_q95.tif      SOC density map    [kg \u2219 m-3]    1992    SOCd_0_30cm_1992_pred.tif      SOC density, lower limit of the 90% PI    [kg \u2219 m-3]    1992    SOCd_0_30cm_1992_q05.tif      SOC density, upper limit of the 90% PI    [kg \u2219 m-3]    1992    SOCd_0_30cm_1992_q95.tif      SOC stock map    [tons \u2219 ha-1]    1992    SOCs_0_30cm_1992_pred.tif      SOC stock, lower limit of the 90% PI    [tons \u2219 ha-1]    1992    SOCs_0_30cm_1992_q05.tif      SOC stock, upper limit of the 90% PI    [tons \u2219 ha-1]    1992    SOCs_0_30cm_1992_q95.tif      SOC content map    [g \u2219 kg-1]    2000    SOCc_0_30cm_2000_pred.tif      SOC content, lower limit of the 90% PI    [g \u2219 kg-1]    2000    SOCc_0_30cm_2000_q05.tif      SOC content, upper limit of the 90% PI    [g \u2219 kg-1]    2000    SOCc_0_30cm_2000_q95.tif      SOC density map    [kg \u2219 m-3]    2000    SOCd_0_30cm_2000_pred.tif      SOC density, lower limit of the 90% PI    [kg \u2219 m-3]    2000    SOCd_0_30cm_2000_q05.tif      SOC density, upper limit of the 90% PI    [kg \u2219 m-3]    2000    SOCd_0_30cm_2000_q95.tif      SOC stock map    [tons \u2219 ha-1]    2000    SOCs_0_30cm_2000_pred.tif      SOC stock, lower limit of the 90% PI    [tons \u2219 ha-1]    2000    SOCs_0_30cm_2000_q05.tif      SOC stock, upper limit of the 90% PI    [tons \u2219 ha-1]    2000    SOCs_0_30cm_2000_q95.tif", "keywords": ["Soil sciences", "Digital soil mapping", "Soil organic carbon", "Soil health", "Earth and related environmental sciences", "Soil monitoring", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Szatm\u00e1ri, G\u00e1bor, Laborczi, Annam\u00e1ria, M\u00e9sz\u00e1ros, J\u00e1nos, Tak\u00e1cs, Katalin, Ben\u0151, Andr\u00e1s, Ko\u00f3s, S\u00e1ndor, Bakacsi, Zs\u00f3fia, P\u00e1sztor, L\u00e1szl\u00f3,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13236749"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13236749", "name": "item", "description": "10.5281/zenodo.13236749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13236749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-14T00:00:00Z"}}, {"id": "10.5281/zenodo.1323927", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:07Z", "type": "Journal Article", "created": "2017-12-09", "title": "New insights into the role of microbial community composition in driving soil respiration rates", "description": "New insights into the role of microbial community composition in driving soil respiration rates. Published in Soil Biology and Biochemistry", "keywords": ["Carbon cycling", "2. Zero hunger", "Bacteria", "550", "carbon", "Fungi", "Ecosystem processes", "04 agricultural and veterinary sciences", "15. Life on land", "soil microbial ecology", "13. Climate action", "Microbial community", "XXXXXX - Unknown", "Bacteria", " fungi", " carbon cycling", " ecosystem processes", " microbial community", " global change", "0401 agriculture", " forestry", " and fisheries", "fungi", "bacteria", "Global change"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1323927"}, {"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": "10.5281/zenodo.1323927", "name": "item", "description": "10.5281/zenodo.1323927", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1323927"}, {"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": "10.5281/zenodo.13271731", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:08Z", "type": "Dataset", "title": "The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient", "description": "This repository contains all necessary raw data as well as the R code used to conduct statistical analysis and create figures of the publication\u00a0The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient  Julia Schroeder1*, Alexander K\u00f6nig2, Christopher Poeplau1, Tobias B\u00f6lscher3, Katharina H.E. Meurer4, Monika Toleikien\u01175, Marjoleine Hanegraaf6, Annelein Meisner6, Josef Hakl7, Katharina M. Keiblinger 2, Abad Chabbi8, Marjetka Suhadolc9, Anton Govednik9, Erich Inselsbacher2, Heike Knicker10, Laura Gismero Rodr\u00edguez10, and Anke M. Herrmann4  1 Th\u00fcnen Institute of Climate-Smart Agriculture, Braunschweig, Germany2 University of Natural Resources and Applied Life Sciences Vienna, Department of Forest and Soil Sciences, Institute of Soil Research, Vienna, Austria3 Universit\u00e9 Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, Palaiseau, France4 Department of Soil & Environment, Swedish University of Agricultural Sciences - SLU, Uppsala, Sweden5 Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania6 Wageningen University & Research, Wageningen Plant Research, Wageningen, Netherlands7 Czech University of Life Sciences Prague, Czech Republic8 INRAE Centre de Recherche Nouvelle-Aquitaine-Poitiers, Unit\u00e9 de Recherche Pluridisciplinaire Prairies & Plantes Fourrag\u00e8res, Lusignan, France9 University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia10 Instituto de la Grasa (IG-CSIC), Sevilla, Spain* Corresponding author: julia.schroeder@thuenen.de  DOI:\u00a0  The study aimed to investigate the effect of crop diversification measures (cover crops, ley farming, vegetation stripes) on microbial carbon use efficiency (CUE) and its potential link to SOC accrual in agricultural soils across Europe. The central hypothesis was that the crop diversification treatment results in more efficient microbial use of C, thus enhancing the potential of soils to store C. The effect of treatment was expected to vary between seasons.Topsoil was sampled from eight experimental crop diversification sites across a pan-European pedoclimatic gradient (Sweden, Netherlands, Lithuania, Czech Republic, Austria, France, Slovenia, and Spain). At five sites, a second sampling was conducted to test the effect of season on CUE (Sweden, Netherlands, France, Slovenia, and Spain). CUE was assessed by the 18O-labelling method. To account for the different experimental layout between sites, a meta-analysis approach was used for statistical analysis. To test for a general pattern of the seasonal variation in CUE across the pedoclimatic gradient, weather data (representing 3-months weather prior sampling) was used to extract seasonal predictors.\u00a0For further details, please see the peer-reviewed publication.\u00a0  The R code was developed under R v4.4.0.  \u00a0  The repository includes the following files:  data:    EJP-EL_COORD_sites.csv - Provides coordinates, reference system, land use, diversification treatment and year of establishment for the experimental sites (n=8).\u00a0  EJP-EL_DATA_sites.csv - Provides texture, TOC and N content, and bulk density data for the experimental sites as provided by site managers (if applicable on plot basis)(n=106).  EJP-EL_CUE_for_R.csv - Provides assessed per sample observations (n=220)WHC: water holding capacity, pH: soil pH measured in 1:5 w/w soil-water solution, TC_perc: total C (%), TIC_perc: total inorganic C (%), TOC_perc: total organic C (%), TN_perc: total N (%), total_DNA_gsoil: total amount of DNA extracted (ug DNA g-1 soil), Cmic_ugC_gsoil: microbial biomass C by CFE-method (ug microbial biomass C g-1 soil), fDNA: unitless conversion factor, Cgrowth_ngC_g_h: microbial growth rate (ng C g-1 soil h-1), \u00a0Crespiration_ngC_g_h: microbial respiration rate (ng C g-1 soil h-1), CUE: unitless carbon use efficiency, mass_specific_growth_1_perd: mass specific growth rate (1 d-1), turnover_time_d: turnover rate (d), DW/WW_during_incub: ratio of dry weight to wet weight (indicator of water content) during the time of incubation (g g-1); WC_perc_related_to_DW_at_sampling: water content during the time of soil sampling expressed as percentage water refered to dry weight of soil (%)  weather_data_b4_sampling_FS_nasa_power_mod_incl_radiation.csv - Extracted daily weather data for the respective site coordinates from the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) Prediction of Worldwide Energy Resource (POWER) Project funded through the NASA Earth Science/Applied Science Program, i.e. NASA POWER project, for a 3-months period prior to each sampling event: mean daily air temperature at 2 m (T2M), the bias corrected average of total precipitation at the Earth\u2019s surface (PRECTOTCORR), and the total photosynthetically active radiation incident at the Earth\u2019s surface (ALLSKY_SFC_PAR_TOT).\u00a0  Table_S1.xlsx - Provides meta-data of sites including sampling (treatments, depth, number of samples, time), water content at sampling, management (last main crop, cover at sampling, phenological state at sampling, fertilisation dates, type of fertiliser, fertilisation rate, ploughing date, ploughing depth).   Rproj:    R_project_Schroeder_crop_div_and_season.Rproj - Rproject (load project to work on provided scripts and data)   R scripts:    01_EJP-EL_CUE_load_data.R - Loads data from different provided csv and merges them into one data.frame, specifying assignment of categories (e.g. control vs one diversified treatment) and selections for individual analyses (e.g. seasonality (all treatments, 5 sites), EU.gradient (control vs. one diversified treatment, 8 sites)).  02_extract_climate_data_sites.R - Extracts climate data from BIOCLIM database (MAT, MAP, Growing season lenght, K\u00f6ppen Geiger) for site coordinates.  03_meta-analysis_crop_diversification_EU_gradient.R - Conducts meta-analysis on EU.gradient selection (control vs diversified treatment, 8 sites) with crop diversification measures as subgroups. Plots results of the meta-analysis. Exports overall test statistics.  04_ANOVA_seasonality_effect.R - Plots CUE per site and sampling on seasonality selection. Conducts site-wise ANOVA to test for effects of sampling and treatment on CUE, and whether the effect of treatment varies with sampling (i.e. interaction).\u00a0  05_define_season_by_weather_data_before_sampling.R - Extracts weather data from indicated NASA database for the 3-months period prior to sampling. Calculates seasonality predictors (see M&M of publication to this study for detailed background). Creates table with calculated predictors.  06_Driver_Analysis_seasonality.R - Checks for autocorrelation of seasonal predictors. Conducts linear mixed-effects model for driver analysis. Creates figure presenting results of the driver analysis.  07_PCA_pedo-climatic_gradient_EU.R - Conducts and plots a principal component analysis to visualise the spread of pedo-climatic properties across sites.  08_LMEM_France.R - Conducts a separate linear mixed-effects model statistics to test wehther ley farming is more similar to cropland or grassland (microbial CUE, Cmic, Cgrowth and SOC) at the Lusignan (France) site.", "keywords": ["microbial carbon use efficiency", "soil organic carbon", "EJP SOIL", "crop diversificiation", "EnergyLink", "SOC", "CUE", "soil", "agriculture"], "contacts": [{"organization": "Schroeder, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13271731"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13271731", "name": "item", "description": "10.5281/zenodo.13271731", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13271731"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-04T00:00:00Z"}}, {"id": "11369/372709", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:10Z", "type": "Journal Article", "created": "2018-09-07", "title": "Soil resources and element stocks in drylands to face global issues", "description": "Abstract<p>Drylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth\uffe2\uff80\uff99s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2\uffe2\uff80\uff89m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "Conservation of Natural Resources", "0303 health sciences", "Multidisciplinary", "Nitrogen", "Climate", "Climate Change", "Phosphorus", "15. Life on land", "Article", "Carbon", "Food Supply", "Soil", "03 medical and health sciences", "element cycles", "13. Climate action", "carbon cycle", "Life Science", "Humans", "Desert Climate", "Ecosystem", "geochemistry"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1001390/1/Soil%20resources%20and%20element%20stocks%20in%20drylands%20to%20face%20global%20issues.pdf"}, {"href": "https://www.nature.com/articles/s41598-018-32229-0.pdf"}, {"href": "https://doi.org/11369/372709"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11369/372709", "name": "item", "description": "11369/372709", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11369/372709"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13696300", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "Wetland sediment soil organic carbon sequestration data to support radiometric technique comparisons", "description": "This workbook shows the ID, the geographical location, the year of sampling, and sediment core information in samples collected from undisturbed wetlands situated across four provinces of Canada (Alberta, Saskatchewan, Manitoba, and Ontario) from 2016 to 2019.", "keywords": ["carbon", "sediments", "sequestration", "wetlands", "soil"], "contacts": [{"organization": "Irena, Creed", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13696300"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13696300", "name": "item", "description": "10.5281/zenodo.13696300", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13696300"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-05T00:00:00Z"}}, {"id": "10.5281/zenodo.13741112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "Carbon loss due to grassland reclamation in the agro-pastoral ecotone of northern China", "description": "The conversion of grasslands to cropland can significantly impact the terrestrial carbon cycle, yet the effects on soil organic carbon (SOC) are not well quantified due to a lack of large-scale sampling data. This study aims to quantify changes in SOC resulting from grassland reclamation in the agropastoral ecotone of northern China through paired sampling of 101 cropland plots and 101 adjacent grassland control plots. Results indicate that grassland reclamation led to an average 16.07% decrease in surface SOC content (0\u201310 cm). Over 80% of the study area experienced a loss in SOC, while less than 20% showed an increase. These findings underscore the significant impact of grassland reclamation on SOC depletion and highlight the importance of land management strategies to mitigate carbon loss in this region.", "keywords": ["soil organic carbon", "Grassland reclamation"], "contacts": [{"organization": "Dou, Pengpeng, Wang, Jie, Wang, Kun, Miao, Zhengzhou, Wang, Xu, Tang, Shiming, Guo, Lizhu, Huang, Jing, Gao, Qian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13741112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13741112", "name": "item", "description": "10.5281/zenodo.13741112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13741112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-10T00:00:00Z"}}, {"id": "10.5281/zenodo.13951110", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "D2.2 ProbeField datasets metadata", "description": "Deliverable 2.2 (ProbeField SSL Metadata) consists of several sampling campaigns conducted by institutes in ten European countries including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, and Switzerland. The columns add information about the sampling scale, extent of the area, climate, soil class, parent rock, land use, management, number of samples, sampling date, vegetation type, SOC analysis method, SOC range, texture analysis method and spectral measurement specifications.", "keywords": ["EJP SOIL", "ProbeField", "Soil organic carbon", "EJPSOIL", "Soil sampling", "SOC", "Proximal sensing"], "contacts": [{"organization": "Czech University of Life Sciences Prague, Agricultural Research Council, Austrian Agency for Health and Food Safety, Spanish National Research Council, Wageningen University & Research, Aarhus University, Swedish University of Agricultural Sciences, National Research Institute for Agriculture, Food and Environment, Institute of Soil Science and Plant Cultivation, Agroscope, National Research Council,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951110"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951110", "name": "item", "description": "10.5281/zenodo.13951110", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951110"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13993045", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant\u00a0stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at\u00a0the regional, national, and European scales.  This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC LOSS cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC LOSS cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional soil organic carbon monitoring network Cmon in Flanders (0-10 and 10-30 cm soil layer) from the period 2021-2024. The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm Cmon data. The following auxiliary data was used: Digitale bodemkaart van het Vlaams Gewest: bodemtypes; Regional climate data; Landgebruik - Vlaanderen - toestand 2022; Tertiair geologische kaart (1/50.000); Bodembedekkingskaart (BBK), 1m resolutie, opname 2021; WRB Soil Units 40k: Bodemkaart van het Vlaamse Gewest volgens het internationale bodemclassificatiesysteem World Reference Base op schaal 1:40.000; Digitaal Hoogtemodel Vlaanderen II, DSM, raster, 1 m. The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.  This dataset is originally hosted at DOV (https://www.dov.vlaanderen.be/), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: SERENA EJPSOIL BE Flanders SOC 0-20cm cookbook.  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["Soil organic carbon concentration", "Belgium", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "Flanders", "SOC", "SOCLOSS", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Oorts, Katrien, Josipovic, Davor, Luts, Dries, Salomez, Joost,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993045"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993045", "name": "item", "description": "10.5281/zenodo.13993045", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993045"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-24T00:00:00Z"}}, {"id": "10.5281/zenodo.13992794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "Research data of \"Distribution, characteristics, and importance of particulate and mineral-associated organic carbon in China forest\"", "description": "We used the Web of Science (https://www.webofscience.com),\u00a0Google Scholar (https://scholar. google.com), and China National Knowledge Infrastructure (CNKI, http://www.cnki.net) to compile a list of all peer-reviewed articles that investigated the soil\u00a0organic carbon components\u00a0in forest ecosystem of China.  Apart from the SOC and SOC components, forest types, forest age, sampling depth, climatic properties (MAT and MAP), vegetation (microbial biomass carbon, litter biomass, living fin root biomass, above-ground biomass carbon) and edaphic properties (soil pH, total organic carbon, total nitrogen, total phosphorus, soil type, dissolved organic carbon, bulk density and Silt+Clay%) in sites for each study were extracted from material and method section, tables or supporting information in each study.  After multiple screening of articles, we totally collected 540 observational data from 59 independent studies, which covers major forest ecosystems of China.", "keywords": ["Soil sciences", "Organic Carbon", "Forests"], "contacts": [{"organization": "Cheng, Hao", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13992794"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13992794", "name": "item", "description": "10.5281/zenodo.13992794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13992794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.14017852", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:18Z", "type": "Dataset", "title": "D2.2_20240423_ProbeField_SSL_Metadata_V2", "description": "D2.2_ProbeField_SSL_Metadata_V2 consists of several soil spectral libraries (SSLs) produced by eleven European countries institutes including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, Turkiye, and Switzerland. The columns include institute, country, contact person(s), contact person(s) e-mail, beneficiary or linked partner or SSL outside EJP, name of SSL, location, SSL form, format, link, conditions, geographical coverage, number of sites, number of samples, sample representation, increment, spectrophotometer, state of soil sample, organic carbon, texture, models, sharing, sample availability and georeferenced field site(s).", "keywords": ["EJP SOIL", "ProbeField", "Soil Organic Carbon", "Lab and field spectroscopy", "EJPSOIL", "Soil sampling", "Life Science", "SOC", "Proximal sensing", "Soil Spectral Library (SSL)"], "contacts": [{"organization": "Stenberg, Bo, Bor\u016fvka, Lubo\u0161, Fantappi\u00e8, Maria, Sanden, Taru, Van Egmond, Fenny, Koganti, Triven, Klumpp, Katja, Debaene, Guillaume, Liebisch, Frank, Castaldi, Fabio, Cayuela S\u00e1nchez, Jos\u00e9 Antonio, Barbetti, Roberto, Madeno\u011flu, Sevin\u00e7,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017852"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017852", "name": "item", "description": "10.5281/zenodo.14017852", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017852"}, {"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": "10.5281/zenodo.14055260", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:20Z", "type": "Report", "title": "Influence of soil texture on the estimation of soil organic carbon from Sentinel-2 temporal mosaics at 34 European sites", "description": "The aim of this study was to investigate the influence of soil texture on SOC predictions using Sentinel-2 temporal mosaics. The study analysed how local within-site variability and correlations in SOC and soil texture influence the possibility of predicting SOC from satellite data using local models at sites in different pedo-climatic zones across Europe. Analyses of 34 individual sites in 10 European countries were carried out within the framework of the STEROPES project of the European Joint H2020 Programme, EJP SOIL.  The manuscript is curently under review in European journal of Soil Science.", "keywords": ["EJP SOIL", "remote sensing", "STEROPES", "satellite", "SOC", "clay", "soil moisture", "time series", "field scale"], "contacts": [{"organization": "Wetterlind, J, Simmler, M, Castaldi, F, Bor\u016fvka, L, Gabriel, J.L., Gomes, L.C., Khosravi, V, K\u0131vrak, C, Koparan, M.H., L\u00e1zaro-L\u00f3pez, A, Liebisch, F, Rodriguez, J.A., Sava\u015f, A.\u00d6., Stenberg, B, Tun\u00e7ay, T, Vinci, I, Volungevi\u010dius, J, \u017dydelis, R, Vaudour, E,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055260"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055260", "name": "item", "description": "10.5281/zenodo.14055260", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055260"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-08T00:00:00Z"}}, {"id": "10.5281/zenodo.14069147", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:21Z", "type": "Report", "title": "Europe scale simulation of reduced fertilization scenarios", "description": "ABSTRACT  \u00a0Soil organic carbon is an effective measure to remove and store CO2 and is one of the few available large-scale CO2 sinks that could help mitigate climate change. The amount of soil organic carbon (SOC) is a balance of the carbon input from plants and organic amendments and the carbon output due to mineralisation. A reduction in N fertilisation, as proposed by the F2F strategy, decreases the plant growth which leads to lower C input in form of above- and belowground harvest residues. Based on estimated yield reductions from WP3 from -20% mineral N fertilisation, we derived the corresponding loss in carbon input and its impact on soil organic carbon after 30 years. European scale simulations were performed for the six major crops wheat, barley, maize, rapeseed, potatoes and sugar beet. Given the lack of data on how/if plant carbon allocation changes under nitrogen reduction, two common allocation functions were applied, each of them coupled to a version of the widely applied soil organic carbon model RothC that has been calibrated with the respective allocation function. The 20% reduction of mineral nitrogen results in mean European SOC losses of 0.9 t per hectare of agricultural land, mainly caused by wheat and rapeseed cultivation due to the big share in agricultural area and high yield reductions, respectively. Czechia (-2.2 t SOC/ha), United Kingdom (-1.7 t SOC/ha) and Slovakia (-1.6 t SOC/ha) suffer the major losses, due to large shares of high-yielding crop in their agricultural areas. The SOC simulations reveal an overall moderate impact of Farm-to-Fork nitrogen reductions on European SOC due to the six major crops. However, in some countries, these crops cover less than 20% of total agricultural land and, therefore, the real impact in these regions will be -much- higher than our results show.", "keywords": ["Nitrogen", "Farm-to-Fork", "Fertilization", "SOC Simulation", "SOC"], "contacts": [{"organization": "Pape, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14069147"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14069147", "name": "item", "description": "10.5281/zenodo.14069147", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14069147"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.14076347", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:21Z", "type": "Dataset", "title": "Soil characteristics and spectral reflectance data of six agricultural fields in Switzerland", "description": "Soil characteristics and spectral reflectance data of six agricultural fields in Switzerland collected within the EJP Soil project STEROPES. The data in the .csv files is organized as relational database with the database schema depicted in DB_Schema.pdf. The file headers (marked with #) contain metadata.", "keywords": ["soil organic carbon", "Soil", "STEROPES", "EJPSOIL"], "contacts": [{"organization": "Simmler, Michael, Liebisch, Frank,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14076347"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14076347", "name": "item", "description": "10.5281/zenodo.14076347", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14076347"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14134737", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:21Z", "type": "Dataset", "title": "Soil grid dataset of agricultural sites in the Czech Republic", "description": "The current dataset includes 320 topsoil samples (0\u201320\u202fcm depth) collected from four agricultural sites in the Czech Republic. The samples were gathered from P\u0159estavlky, Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice (80 samples from each site) in June 2021. It contains sample coordinates and some soil parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local model development), WP3 (effect of texture), and WP4 (effect of vegetation and plant residues).", "keywords": ["EJP SOIL", "STEROPES", "Soil Organic Carbon", "Soil sampling", "SOC", "Texture", "Agricultural sites"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14134737"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14134737", "name": "item", "description": "10.5281/zenodo.14134737", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14134737"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14137530", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:22Z", "type": "Dataset", "title": "Soil laboratory spectra of agricultural sites in the Czech Republic", "description": "The dataset includes VNIR-SWIR spectra of dried, ground, and sieved (< 2 mm) soil samples collected from three agricultural sites in the Czech Republic. The spectra\u00a0were recorded in the laboratory using an\u00a0ASD FieldSpec 3 instrument and under\u00a0the standard protocol.\u00a0The samples were gathered from Klu\u010dov, Nov\u00e1 Ves nad Popelkou, and Udrnice sites (80 samples from each site) in June 2021. The dataset also contains sample coordinates and some parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local models development).", "keywords": ["EJP SOIL", "Soil spectra", "Field scale", "STEROPES", "Soil Organic Carbon", "SOC", "Texture"], "contacts": [{"organization": "Czech University of Life Sciences Prague", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14137530"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14137530", "name": "item", "description": "10.5281/zenodo.14137530", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14137530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.14161809", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:22Z", "type": "Dataset", "title": "SensRes dataset for downscaling soil maps", "description": "This dataset contains soil information and sensor data from agricultural fields in Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey to downscale coarse-resolution maps to high resolution in the SensRes project (EJP SOIL).  \u00a0It includes 1455 soil samples with data on soil organic carbon and soil texture fractions (clay, silt, and sand). For each sampling site, the dataset also contains rasters of Sentinel-2 bare soil images, aerial images (RGB), and maps from Electromagnetic Induction and Gamma sensors. The soil data is provided in .txt file format, while the sensor data is available in .tif format. There are also shapefiles from each field in .shp format.\u00a0  The SensRes project developed a framework for downscaling soil maps, which was published as an R package (https://github.com/anbm-dk/soilscaler/tree/main), and this dataset contains the required local inputs to apply the downscaling process. Part of the soil information present in this dataset has also been used in the STEROPES EJP SOIL project.", "keywords": ["soil organic carbon", "STEROPES", "SensRes", "High resolution maps", "Sentinel 2", "soil texture"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, Volungevi\u010dius, Jonas, Kavaliauskas, Ardas, van Egmond, Fenny, Kramer, Henk, Teuling, Kees, \u00c7inkaya, \u0130smail, Greve, Mogens H,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14161809"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14161809", "name": "item", "description": "10.5281/zenodo.14161809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14161809"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14143563", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:22Z", "type": "Report", "created": "2024-12-09", "title": "Impact of Different Supervised Bare Soil Pixels Retrieval Approaches on Prediction of the Soil Organic Carbon", "description": "This study was to compare the performance of the index-based and unmixing-based classification approaches as well as their integration on discrimination of the bare soil pixels on Sentinel-2 (S2) and Landsat 8-OLI (L08-OLI) single-date scenes from dry and green vegetation within four local agricultural sites, in the Czech Republic. In conclusion, classification of soil cover using the integrated approach led to more accurate extraction of bare soil and higher performance SOC prediction models, on both types of satellite data. Considering all approaches, results obtained on S2 data were more accurate than those delivered on L08-OLI.\u00a0  The manuscript is about to be submitted after the final approval of all authors.", "keywords": ["Linear spectral unmixing", "EJP SOIL", "STEROPES", "Spectral indices", "Soil organic carbon", "Soil cover classification", "Airborne and satellite data"], "contacts": [{"organization": "Khosravi, Vahid, Gholizadeh, Asa, Castaldi, Fabio, Saberioon, Mohammadmehdi, Chapman Agyeman, Prince, \u017d\u00ed\u017eala, Daniel, Kode\u0161ov\u00e1, Radka, Bor\u016fvka, Lubo\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14143563"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14143563", "name": "item", "description": "10.5281/zenodo.14143563", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14143563"}, {"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": "10.5281/zenodo.14252610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:27Z", "type": "Dataset", "title": "Data from: Turfgrass pedogenesis under low maintenance: an experimental analysis with Festuca rubra subspecies at different fertilization levels", "description": "unspecifiedThatchMatThickeness.csv  (Frc = Festuca rubra commutata, Frt = Festuca rubra trichophylla, Frr = Festuca rubra rubra)    spec = subspecies  var = variety  rep = replicate number  Nfert = N fertilization (kg N ha-1)  thatch1 = thatch thickness at 18-5-2018 (cm)  thatch2 = thatch thickness at 26-10-2018 (cm)  thatch3 = thatch thickness at 17-5-2019 (cm)  thatch4 =\u00a0 thatch thickness at 29-10-2019 (cm)  thatch5 = thatch thickness at 10-6-2020 (cm)  thatch6 = thatch tcicknesss at 16-6-2021 (cm)  mat1 = mat thickness at 18-5-2018 (cm)  mat2 = mat thickness at 26-10-2018 (cm)  mat3 = mat thickness at 17-5-2019 (cm)  mat4 =\u00a0 mat thickness at 29-10-2019 (cm)  mat5 = mat thickness at 10-6-2020 (cm)  mat6 = mat tcicknesss at 16-6-2021 (cm)", "keywords": ["Festuca rubra", "festuca rubra", "fertilization", "carbon", "soil layers", "pedogenesis", "turfgrass", "microbes", "Turfgrass", "nitrogen", "Carbon", "organic matter"], "contacts": [{"organization": "Evers, Maurice, De Caluwe, Hannie, Visser, Eric J.W., De Kroon, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14252610"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14252610", "name": "item", "description": "10.5281/zenodo.14252610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14252610"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14563816", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:32Z", "type": "Dataset", "title": "Transformation Rate Maps of Dissolved Organic Carbon in the Contiguous U.S.", "description": "unspecifiedWe develop two new maps of the dissolved organic carbon (DOC) transformation rate ( (P_r )) over the contiguous United States. Those maps are derived by combining the USGS riverine DOC observations, soil organic carbon (SOC) data from two sources\u2014HWSD v1.2 and SoilGrids 2.0, and the watershed characteristics from two existing datasets medium-resolution NHDplus and ScienceBase, and state-of-the-art machine learning techniques.", "keywords": ["13. Climate action", "Machine learning", "Earth system modeling", "15. Life on land", "Riverine biogeochemical", "Dissolved organic carbon"], "contacts": [{"organization": "Li, Lingbo, Li, Hong-Yi, Abeshu, Guta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14563816"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14563816", "name": "item", "description": "10.5281/zenodo.14563816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14563816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-27T00:00:00Z"}}, {"id": "10.5281/zenodo.14510075", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:31Z", "type": "Dataset", "title": "Data associated with Leuthold et al. - \"Decadal persistence of grassland soil organic matter derived from litter and pyrogenic inputs\"", "description": "These are data associated with the manuscript, 'Decadal persistence of grassland soil organic matter derived from litter and pyrogenic inputs', by Leuthold et al., published in Nature Geoscience on January 24, 2025. Included herein are 4 spreadsheets that contain information on the chemical and isotopic composition of soil organic matter fractions isolated via the combined-size density fractionation of soils sampled at the Konza Prarie LTER site in Kansas, USA. While data are present for depths below 5 cm, the bulk of the data are associated with samples from 0 - 2, and 2 - 5 cm. Two different experimental treatments are represented in the data. In one experimental treatment, isotopically enriched (13C and 15N) litter material (Andropogon gerardii) was applied to the soil surface and tracked into the soil organic matter over the course of 10 years. In the other, isotopically enriched (13C and 15N) pyrogenic organic matter was applied to the soil and similarly tracked for 9 years. Information about analysis instrumentation and addtional details available upon request.  \u00a0  The analysis code, including the mixing models, statistics, and code for the data visualization are available on Github, in the linked repository. Any additional questions about the data can be directed to Dr. Sam Leuthold (sam.leuthold@colostate.edu).", "keywords": ["organic matter fractions", "POM", "carbon", "grasslands", "stable isotopes", "nitrogen", "MAOM", "soil"], "contacts": [{"organization": "Leuthold, Samuel, Soong, Jennifer, Even, Rebecca, Cotrufo, M. Francesca,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14510075"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14510075", "name": "item", "description": "10.5281/zenodo.14510075", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14510075"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-24T00:00:00Z"}}, {"id": "10.5281/zenodo.14777801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:35Z", "type": "Dataset", "title": "EJPSOIL CarboSeq crop and soil management database", "description": "Open AccessThe empty template of the database used to collect the (meta)data is available at 10.5281/zenodo.8094887", "keywords": ["2. Zero hunger", "EJPSOIL", "organic carbon", "LTEs", "SOC", "15. Life on land", "agricultural (meta)data", "EJPSOIL", " LTEs", " agricultural (meta)data", " SOC", " organic carbon"], "contacts": [{"organization": "Ruysschaert, Greet, Panagea, Ioanna, Blanchy, Guillaume, Keiblinger, Katharina, Diacono, Mariangela, Rosinger, Christoph, Di Bene, Claudia, Makoschitz, Lisa, Sand\u00e9n, Taru, Spiegel, Heide, Alonso-Ayuso, Maria, Martinez-Garcia, Laura B., Alvaro-Fuentes, Jorge, Suhadolc, Marjetka, Ocvirk, Kristina, Kay, Sonja, Viaud, Valerie, Barcena, Teresa G., Bruno, Antonio, Carranca, Corina, Castanheira, Nadia, De Boever, Maarten, Zeynep, Demir, D'Hose, Tommy, \u00dclfet, Erdal, Virginijus, Feiza, Gabriel, Jose L., Ghiasi, Shiva, Gillikin, Ava, Hirte, Juliane, Hendriks, Chantal, Anna, Jacobs, Jensen, Johannes L., Kauer, Karin, Mertens, Kaat, Mihelic, Rok, Mockeviciene, Ieva, Pardon, Paul, Parvin, Nargish, Pfeil, Christoph, Plaza, C\u00e9sar, Santin-Montanya, M.I., Schneider, Florian, Seitz, Daria, Vanino, Silvia, Verdonk, Loes, Vilkiene, Monika, Seidel, Felix, Don, Axel, Huyghebaert, Bruno, Castanheira, Nadia, D'Avino, Lorenzo, da Concei\u00e7\u00e3o Gon\u00e7alves, Maria, Drexler, Sophie, Henriksen, Trond M., Klumpp, Katja, Siebielec, Grzegorz, Stajnko, Denis, Toth, Eszter, Demir, Zeynep, Erdal, \u00dclfet, Feiza, Virginijus, Jacobs, Anna, Miheli\u010d, Rok, Bruno, Huyghebaert,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14777801"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14777801", "name": "item", "description": "10.5281/zenodo.14777801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14777801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.5960686", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:24Z", "type": "Dataset", "title": "LTEP-Biochar", "description": "The dataset inventories and compares experiments regarding on field application of biochar for agronomic purposes and its environmental effects (<em>e.g.</em> carbon sequestration) over a significative timeframe. Remediation of polluted soils is not in scope. The field experiments shall take place under dynamically, meteorologically and biologically complex conditions. We are mapping activities across Europe, North Africa and the Middle East (see the Highlights box here below). The LTEP project is an ICHAR initiative implemented and managed by the EMRG group of the University of Bologna.", "keywords": ["Biochar", "Soil Organic Carbon", "13. Climate action", "Long Term", "Biochar", " Soil Organic Carbon", " long term", " field experiment", "Field Experiment", "15. Life on land"], "contacts": [{"organization": "Diego Marazza, Daniele Tigrini, Carlotta Carlini, Nicolas Greggio, Simone Pesce, Enrico Balugani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5960686"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5960686", "name": "item", "description": "10.5281/zenodo.5960686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5960686"}, {"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": "10.5281/zenodo.14947845", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:41Z", "type": "Dataset", "title": "Assessing CO2 fluxes during enhanced weathering from soils through a mesocosm lens", "description": "It is becoming increasingly accepted that annual gigatonne-scale CO2 removal, in conjunction with rapid decarbonization, is necessary to meet international climate goals and limit global warming below 2\u00b0C. This is going to require the development and rapid scaling of new forms of carbon management. When developing new CDR techniques, it is essential to ensure that there is complete accounting of how the process affects greenhouse gas fluxes. Enhanced weathering (EW), the spreading of finely ground weatherable, cation-rich crushed rocks to soils, has the potential to sequester significant amounts of CO2 while improving soil health. However, the effect of EW affiliated increases in soil pH on soil organic carbon (SOC) decomposition and CO2 efflux from soils remain debated. It has been proposed that increasing soil pH can lead to enhanced SOC remineralization. To move forward this debate, we present CO2 flux and soil carbon pool data from a greenhouse study in large mesocosms. We focused on mildly acidic soil in which, on short time scales, cations from weathering quantitively move into the exchangeable fraction in soils. Therefore, gas fluxes changes should be largely linked to changes in SOC stores. We find no significant correlation between CO2 fluxes and soil pH and no significant correlation between CO2 fluxes and rock application. Although this does not rule out a link between soil pH and SOC remineralization rates, the effect is small relative to other factors, like temperature and soil moisture. Although minor increases in total inorganic carbon were observed in basalt-amended soils, these increases did not support a direct link between soil pH and increased CO2 emissions. We observed a small increase in soil total organic carbon stocks in basalt amended mesocosms, but this change was also not significant enough to drive a shift in observed soil CO2 fluxes.", "keywords": ["soil organic carbon", "enhanced weathering", "carbon dioxide removals", "co2", "CO2", "Enhanced weathering"], "contacts": [{"organization": "Chiaravalloti, Isabella, Zhang, Shuang, Planavsky, Noah,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14947845"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14947845", "name": "item", "description": "10.5281/zenodo.14947845", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14947845"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.15077441", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:44Z", "type": "Dataset", "created": "2025-04-24", "title": "Permafrost thaw reverses soil carbon age profiles and extends transit time in an Arctic tundra soil", "description": "unspecifiedA vertically-resolved model was developed and optimized against radiocarbon (14C) data from a 25-year snow manipulation experiment to quantify how deeper snow affects soil carbon age, transit time, and redistribution in Arctic permafrost.", "keywords": ["soil organic carbon", "Age", "Carbon dioxide", "transit time", "radiocarbon", "Permafrost", "Arctic ecosystem", "Carbon", "Alaska"], "contacts": [{"organization": "Tangarife Escobar, Andres, Pedron, Shawn Alexander, Czimczik, Claudia I., Metzler, Holger, Gonz\u00e1lez Sosa, Maximiliano, Welker, Jeffrey, Guggenberger, Georg, Sierra, Carlos,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15077441"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15077441", "name": "item", "description": "10.5281/zenodo.15077441", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15077441"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-24T00:00:00Z"}}, {"id": "10.5281/zenodo.15133040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:45Z", "type": "Dataset", "title": "InfoCarb:\u00a0Forest Inventory of the Autonomous Province of Trento (Trentino), Italy", "description": "InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy\u00a0  Forest Carbon Stocks in the Province of Trento inventory of Trentino based on 150 plots (15 m radius) over 6200 Km2 land area. Estimation of organic carbon pools stored above and below-ground. Quantitative description of forest specific composition and structure. Year 2002.\u00a0  The dataset includes the following .csv formatted files:    INFOCARB_DATASET_(ENG)_v1.0  INFOCARB_SPECIES_(ENG)_v1.0  Metadata InfoCarb (ENG) species codes_v1.0  Metadata InfoCarb categorical variables_v1.0  Metadata InfoCarb data licence and info_v1.0  Metadata InfoCarb numerical variables_v1.0  Metadata InfoCarb species codes_v1.0   \u00a0  Discalimer: The dataset refers to measurements carried out in 150 forest plots in the province of Trentino in the years 2001-2002. A severe windstorm in October 2018 (Vaia storm) caused extensive windthrows over 20 thousand hectares, in most forest areas of the province.  This dataset was prepared as a contribution to the Work Package 4 of the Open Earth Monitor project (funded from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101059548 ) - https://earthmonitor.org", "keywords": ["soil organic carbon", "forest biomass", "forest inventory", "forest composition", "Trentino", "forest structure"], "contacts": [{"organization": "Belelli Marchesini, Luca, Frizzera, Lorenzo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15133040"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15133040", "name": "item", "description": "10.5281/zenodo.15133040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15133040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-03T00:00:00Z"}}, {"id": "10.5281/zenodo.15203559", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:46Z", "type": "Dataset", "title": "Pyrogenic carbon contribution to tropical savanna soil carbon storage", "description": "Savannas are fire-prone ecosystems that contribute substantially to global burned area and fire emissions, but these emissions may be offset by the deposition of fire-derived, persistent pyrogenic carbon (PyC) in soils. While some estimates of PyC contributions to soil organic carbon (SOC) storage in savanna exist, factors driving its accumulation in soils remain largely unknown due to a lack of measurements with consistent methods in the literature. To address this knowledge gap, we sampled 253 sites at a regional scale across tropical savannas in Kruger National Park, South Africa, covering broad gradients in fire regimes, grass biomass, rainfall, and soil texture. We demonstrate that across these savannas, pyrogenic carbon contributes, on average, 14.08% (se = 0.36%, n = 253) of total SOC storage in surface soils but can reach as high as 40%. While fire frequency and grass biomass affect soil PyC stock, savannas with higher soil clay content and lower rainfall \u2013 conditions that favor PyC preservation \u2013 tend to accumulate more PyC in the soil. These results underscore the significant contribution of PyC to SOC storage in tropical savannas and highlight the environmental factors associated with its accumulation across regional scales, providing an empirical basis for understanding fire\u2019s role in the tropical savanna carbon cycle.", "keywords": ["savanna", "pyrogenic carbon", "soil carbon stock"], "contacts": [{"organization": "Zhou, Yong", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15203559"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15203559", "name": "item", "description": "10.5281/zenodo.15203559", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15203559"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-12T00:00:00Z"}}, {"id": "10.5281/zenodo.15282598", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:48Z", "type": "Dataset", "created": "2020-01-01", "title": "Datasets for Maier et al., Parent material geochemistry \u2013 and not plant biomass \u2013 as the key factor shaping soil organic carbon stocks in European alpine grasslands", "description": "the uploaded datasets entail the following files:    Alpine_SOC_complete: excel sheets including data and metadata of all soil and plant biomass observations. used to run statistical analyses and data visualization for figures in the publication. includes 1) plant biomass variables, 2) soil physiochemical and organic variables  Alpine_SOC_F14C: excel sheets including data and metadata of sampling sites' fraction modern radiocarbon (F14C)  Alpine_SOC_excl_dolomite: excel sheets including the data and metadata needed for the running of the soil organic carbon prediction models in the publication", "keywords": ["Soil Organic Carbon", "Alpine soil", "Biogeochemistry", "Radiocarbon", "Carbon Cycle"], "contacts": [{"organization": "Maier, Annina, Maier, Annina, Macfarlane, Maria,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15282598"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15282598", "name": "item", "description": "10.5281/zenodo.15282598", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15282598"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-25T00:00:00Z"}}, {"id": "10.5281/zenodo.15303209", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:48Z", "type": "Dataset", "title": "Yield, soil and management data of the Frick long-term experiment on tillage, fertilization and biodynamic preparations on a Stagnic Eutric Cambisol in Switzerland", "description": "This dataset is part of the database compiled as an outcome of Work Area 1 in project OrganicYieldsUP. Variable definitions can be found here: \u00a0https://doi.org/10.5281/zenodo.15276082  In Frick (Switzerland), a long-term experiment was established at the farm of the Research Institute of Organic Agriculture (FiBL) in autumn 2002 on a clay loam (Stagnic Eutric Cambisol). In this three-factorial experiment, a reduced tillage system with a chisel plough to a depth of 10 cm is compared to conventional ploughing to a depth of approx. 20 cm, a liquid manure system is compared to a compost manure system and the adding of biodynamic preparations is compared to none preparations. Biodynamic preparations had been assessed previously in system comparison experiments, however, their effect is difficult to elucidate separately in a system comparison approach. One reason for setting up this experiment was therefore a demand among farmers and researchers in early 2000 to disentangle the influence of biodynamic preparations from the influence of manure compost on soil fertility. On the other hand, it should be tested if and how reduced tillage is feasible in organic farming.\u00a0This dataset consists of plot data for yield, soil and management from 2002 to 2018. The crop rotation at the start of the experiment was winter wheat, sunflower, spelt and two years of grass clover. Sunflower was excluded after 2010 because of total yield loss due to slugs. For yield, total aboveground plant biomass is given for silage maize, grass-clover and cover crops, grain yield for winter wheat, spelt and sunflowers. Total nitrogen and phosphorus contents of the yield components are given as well.  Weed data is given as total weed cover and/or total weed biomass in the years with row crops. For pests and diseases, Fusarium toxins (DON) are given for 2003 and slug emergence for 2010.  For soil data, soil organic carbon content, total nitrogen content and pH are given plotwise for the layers 0-10 cm and 10-20 cm in three year intervals generally. Bulk density is available for some years and plots.   This dataset has been evaluated and published in a research paper by Maike Krauss, Alfred Berner, Fr\u00e9d\u00e9ric Perrochet, Robert Frei, Urs Niggli and Paul M\u00e4der (2020): Enhanced soil quality with reduced tillage an solid manures in organic farming \u2013 a synthesis of 15 years. Scientific Reports 10:4403, https://doi.org/10.1038/s41598-020-61320-8  We are grateful for the financial support in running the field trial by the Swiss Federal Office for Agriculture (FOAG) and following foundations: Software AG - Stiftung (DE), Stiftung zur Pflege von Mensch, Mitwelt und Erde (CH), Stiftung Edith Maryon (CHF), the COOP Sustainability Fund and the CORE Organic II funding bodies, being partners of the FP7 ERA-Net project TILMAN-ORG (www.coreorganic2.org).", "keywords": ["Organic Agriculture", "Animal manure", "Weed Control/statistics &amp; numerical data", "Organic farming", "Nitrogen", "Yield (agricultural)", "Plant Weeds", "Ph-value", "Compost", "Soil fertility", "Weed", "Tillage", "Field experiment", "Crop rotation", "Long-term experiment", "Agricultural pest", "Liquid manure", "biodynamic preparations", "Organic carbon"], "contacts": [{"organization": "Grosse, Meike, Berner, Alfred, Perrochet, Fr\u00e9d\u00e9ric, Frei, Robert, M\u00e4der, Paul, Krauss, Maike,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15303209"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15303209", "name": "item", "description": "10.5281/zenodo.15303209", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15303209"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-30T00:00:00Z"}}, {"id": "10.5281/zenodo.15398850", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:51Z", "type": "Dataset", "title": "Wetland sediment soil organic carbon stock and sequestration rates in undisturbed and rewetted Canadian wetlands", "description": "This workbook shows the ID, the geographical location, the year of sampling, and sediment core information in samples collected from undisturbed and rewetted wetlands situated across four provinces of Canada (Alberta, Saskatchewan, Manitoba, and Ontario) from 2016 to 2019.", "keywords": ["restoration", "carbon", "sediments", "sequestration", "wetlands", "soil"], "contacts": [{"organization": "Creed, Irena", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15398850"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15398850", "name": "item", "description": "10.5281/zenodo.15398850", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15398850"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.8090465", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:42Z", "type": "Dataset", "title": "Data for the manuscript 'Cover crop root morphology rather than quality controls the fate of root and rhizodeposition C into distinct soil C pools'", "description": "<strong>Data for manuscript</strong> The data provided in the present document corresponds to the manuscript: Engedal, T., Magid, J., Hansen, V., Rasmussen, J., S\u00f8rensen, H., Jensen, L. S. (2023): Cover crop root morphology rather than quality controls the fate of root and rhizodeposition C into distinct soil C pools. <em>Global Change Biology, in press</em>. <strong>Short abstract</strong> In order to investigate the fate of cover crop-derived belowground C as rhizodeposition and, over time, into the distinct soil organic carbon pools of particulate- and mineral-associated organic carbon (POC and MAOC), a column trial was esblished with 0.25 m top soil and 0.25 m sub soil. Four cover crops were grown for 3 months and 14CO2-labelled twice a week. Four out of eight replicate columns were destructively harvested to quantify root C and the carbon lost via rhizodeposition in absolute (qClvR) and relative terms (%ClvR) in bulk soil and rhizosphere soil from top- and subsoil (t1). The other four replicate columns were harvested for undisturbed incubation for one year, before final sampling (t2). Bulk soil from both sampling times were subject to a simple fractionation protocol by size, where particles larger from 50 microns were assigned to POC and smaller than 50 microns assigned to MAOC after dispersion in NaHMP. All fractions were dried, weighed and analyzed for 14C activity as disintegrations per minute (DPM). <strong>Further details</strong> Column ID 1-16 refer to columns sampled at t1, while column ID 17-32 refer to columns sampled at t2. Underlying assumptions and detailed descriptions of the different fractions are to be found in the manuscript.", "keywords": ["2. Zero hunger", "MOAM", "POM", "MAOC", "cover crop", "15. Life on land", "soil organic fractionation", "soil organic carbon", "mineral-associated organic matter", "rhizodeposition", "root morphology", "particulate organic matter", "root carbon", "POC"], "contacts": [{"organization": "Engedal, Tine, Magid, Jakob, Hansen, Veronika, Rasmussen, Jim, S\u00f8rensen, Helle, Jensen, Lars Stoumann,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8090465"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8090465", "name": "item", "description": "10.5281/zenodo.8090465", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8090465"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-28T00:00:00Z"}}, {"id": "10.5281/zenodo.15396375", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:51Z", "type": "Dataset", "title": "Lateral Carbon and Water Chemistry Data from a Small Arctic Coastal Catchment near Churchill, Manitoba, Late Summer 2022", "description": "This dataset accompanies the study 'Lateral carbon flow in an Arctic coastal catchment in late summer.' It includes water chemistry and hydrological data collected in a small coastal catchment near Churchill, Manitoba, Canada (~10 km inland from Hudson Bay). The study focused on surface water and soil pore water sampling between August 12 and September 5, 2022. Parameters measured include pH, dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), particulate organic carbon (POC), SUVA254, spectral slope ratio (SR), stable carbon isotopes (\u03b4\u00b9\u00b3C-DIC, \u03b4\u00b9\u00b3C-DOC), specific conductivity, temperature, dissolved CO\u2082, and CH\u2084. The dataset also includes site coordinates and discharge measurements. The study aimed to assess the influence of a late summer rainfall event on lateral carbon fluxes across different landscape types (headwater peatland and coastal sandy heathland).", "keywords": ["Fresh Water/chemistry", "lateral carbon export", "Arctic catchment", "Precipitation event", "Churchill", "arctic carbon cycling", "arctic hydrology", "Hudson Bay Lowlands", "dissolved inorganic carbon", "dissolved organic carbon"], "contacts": [{"organization": "Martyn Rosco, Melanie, Hensgens, Geert, Weedon, James, Dean, Joshua,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15396375"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15396375", "name": "item", "description": "10.5281/zenodo.15396375", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15396375"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-15T00:00:00Z"}}, {"id": "10.5281/zenodo.15484766", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:55Z", "type": "Dataset", "title": "Wetland sediment soil organic carbon sequestration rates in undisturbed Canadian wetlands and data to support predictive modeling", "description": "Table in RF Model Data worksheet in workbook shows (1) ID, \u00a0geographical location, \u00a0year of sampling, and measured organic carbon sequestration rates (OCSR) \u00a0in samples collected from undisturbed wetlands situated across Canada, and (2) direct controls on OCSR extracted from geospatial data. These data were used to support random forest (RF) modeling to develop modeled estimates of OCSR.\u00a0 Table data is also provided as a .csv file and supporting readme document.", "keywords": ["carbon", "sediments", "sequestration", "wetlands", "soil"], "contacts": [{"organization": "Creed, Irena", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15484766"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15484766", "name": "item", "description": "10.5281/zenodo.15484766", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15484766"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-21T00:00:00Z"}}, {"id": "10.5281/zenodo.15609417", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:58Z", "type": "Dataset", "title": "Raw data : \"Soil organic carbon stocks and dynamics under contrasting organic matter management practices - Results from a 65-year-old experiment in Belgium\"", "description": "unspecifiedLong-term field experiments (LTEs) are key for evaluating the long-term effect of agricultural practices on soil organic carbon (SOC) storage. In this work, we studied the long-term effect of organic matter (OM) management practices on SOC in a 65-year LTE under arable cropping in Belgium. To evaluate SOC dynamics, a time series (1959-2021) of topsoil SOC content was analyzed for three subperiods in which N fertilization remained unchanged. Topsoil and subsoil SOC stocks were calculated by the equivalent soil mass method for one individual sampling campain in 2018.\u00a0  Cattle manure (CM) application led to the most significant SOC storage, increasing topsoil SOC stock and content by approximately 20% over the long term. Other individual OM management practices \u2013 pig slurry (PS) application, cereal straw incorporation and cover crops (CC) cultivation \u2013 induced smaller, non-significant SOC increases of about 5%. Nevertheless, their combined effects were cumulative, resulting in significant SOC accruals. In contrast to the topsoil, SOC stock in the subsoil was unaffected by the OM management practices.  Annual humified C inputs calculated from the amount and quality of livestock manures and (cover) crops residues correlated strongly with SOC content in the topsoil (r=0.8), which underlines that the amount and quality of C inputs are key drivers of SOC storage. Changes in N fertilization over time and N fertilization adjustments among treatments significantly affected SOC dynamics. This highlights the complexity of interpreting time series of data from LTEs, for which the evolution of management practices over time may act as confounding factors.", "keywords": ["Crop residues", "Crop yields", "Livestock manures", "Cover crops", "C inputs", "Long-term field experiment", "Organic matter practices", "Organic carbon"], "contacts": [{"organization": "Sail, Simon", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15609417"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15609417", "name": "item", "description": "10.5281/zenodo.15609417", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15609417"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-02T00:00:00Z"}}, {"id": "10.5281/zenodo.15686591", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:59Z", "type": "Dataset", "created": "2005-06-18", "title": "Soils of silvopastoral system in Southern Brazil", "description": "Dataset of the paper 'Total carbon and nitrogen stocks and the granulometric fractions of organic matter in soils of silvopastoral system with tree nuclei in Southern Brazil' ofFiliation:\u00a0  1 Universidade Federal de Santa Catarina (UFSC), Centro de Ci\u00eancias Agr\u00e1rias (CCA), Programa de P\u00f3s-Gradua\u00e7\u00e3o em Agroecossistemas (PGA), Florian\u00f3polis, Santa Catarina, Brasil.  2 Universidade de S\u00e3o Paulo (USP), Centro de Energia Nuclear na Agricultura (CENA), Programa de P\u00f3s-Gradua\u00e7\u00e3o em Agroecossistemas (PGA), Florian\u00f3polis, Santa Catarina, Brasil  *Corresponding Author: arcangelo.loss@ufsc.br", "keywords": ["Soil", "Nitrogen", "Pasture", "Carbon"], "contacts": [{"organization": "Loss, Arc\u00e2ngelo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15686591"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15686591", "name": "item", "description": "10.5281/zenodo.15686591", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15686591"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-18T00:00:00Z"}}, {"id": "10.5281/zenodo.15687463", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:59Z", "type": "Dataset", "title": "Nitrogen and phosphorus distribution in global agricultural soils", "description": "Total organic carbon, total nitrogen, total phosphorus, and available N and P in global agricultural soils", "keywords": ["Elemental stoichiometry", "Soil organic carbon", "Soil fertility"], "contacts": [{"organization": "Luo, Lei", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15687463"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15687463", "name": "item", "description": "10.5281/zenodo.15687463", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15687463"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-18T00:00:00Z"}}, {"id": "10.5281/zenodo.15720421", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:59Z", "type": "Dataset", "title": "Dataset for paper: Bacterial and Fungal Communities Respond Differently to Changing Soil Properties Along Afforestation Dynamic", "description": "Bacterial and Fungal Communities Respond Differently to Changing Soil Properties Along Afforestation Dynamic. New collected data at HIS below.Corresponding author: Speranza Panico - speranza.panico@uniud.it", "keywords": ["climate change", "Soil organic carbon", "space-for-time approach", "soil microbiota", "alpha-diversity", "DNA metabarcoding"], "contacts": [{"organization": "Panico, Speranza Claudia, Alberti, Giorgio, Foscari, Alessandro, Tomao, Antonio, Incerti, Guido, Sciabbarrasi, Giovanni Luca,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15720421"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15720421", "name": "item", "description": "10.5281/zenodo.15720421", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15720421"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-23T00:00:00Z"}}, {"id": "10072/428410", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:41Z", "type": "Journal Article", "created": "2023-10-18", "title": "Community composition and physiological plasticity control microbial carbon storage across natural and experimental soil fertility gradients", "description": "Abstract                <p>Many microorganisms synthesise carbon (C)-rich compounds under resource deprivation. Such compounds likely serve as intracellular C-storage pools that sustain the activities of microorganisms growing on stoichiometrically imbalanced substrates, making them potentially vital to the function of ecosystems on infertile soils. We examined the dynamics and drivers of three putative C-storage compounds (neutral lipid fatty acids [NLFAs], polyhydroxybutyrate [PHB], and trehalose) across a natural gradient of soil fertility in eastern Australia. Together, NLFAs, PHB, and trehalose corresponded to 8.5\uffe2\uff80\uff9340% of microbial C and 0.06\uffe2\uff80\uff930.6% of soil organic C. When scaled to \uffe2\uff80\uff9cstructural\uffe2\uff80\uff9d microbial biomass (indexed by polar lipid fatty acids; PLFAs), NLFA and PHB allocation was 2\uffe2\uff80\uff933-times greater in infertile soils derived from ironstone and sandstone than in comparatively fertile basalt- and shale-derived soils. PHB allocation was positively correlated with belowground biological phosphorus (P)-demand, while NLFA allocation was positively correlated with fungal PLFA : bacterial PLFA ratios. A complementary incubation revealed positive responses of respiration, storage, and fungal PLFAs to glucose, while bacterial PLFAs responded positively to PO43-. By comparing these results to a model of microbial C-allocation, we reason that NLFA primarily served the \uffe2\uff80\uff9creserve\uffe2\uff80\uff9d storage mode for C-limited taxa (i.e., fungi), while the variable portion of PHB likely served as \uffe2\uff80\uff9csurplus\uffe2\uff80\uff9d C-storage for P-limited bacteria. Thus, our findings reveal a convergence of community-level processes (i.e., changes in taxonomic composition that underpin reserve-mode storage dynamics) and intracellular mechanisms (e.g., physiological plasticity of surplus-mode storage) that drives strong, predictable community-level microbial C-storage dynamics across gradients of soil fertility and substrate stoichiometry.</p", "keywords": ["2. Zero hunger", "Science & Technology", "Ecology", "Fatty Acids", "Fungi", "Soil Science", "Trehalose", "Environmental Sciences & Ecology", "15. Life on land", "Markvetenskap", "Microbiology", "Article", "Carbon", "Environmental sciences", "Biological sciences", "Soil", "Biomass", "Life Sciences & Biomedicine", "Ecosystem", "Soil Microbiology", "Phospholipids"]}, "links": [{"href": "https://doi.org/10072/428410"}, {"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": "10072/428410", "name": "item", "description": "10072/428410", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10072/428410"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.15847855", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:02Z", "type": "Dataset", "title": "Enhanced rock weathering altered soil organic carbon fluxes in a plant trial", "description": "Enhanced rock weathering altered soil organic carbon fluxes in a plant triel. Raw and processed datasets in support of the findings of Boito et al. (2025).", "keywords": ["Climate change mitigation", "Soil organic carbon", "Earthworm", "Enhanced rock weathering", "Plants", "CO2 emissions"], "contacts": [{"organization": "Boito, Lucilla, Steinwidder, Laura, Rijnders, Jet, Berwouts, Jesse, Janse, Sarah, Niron, Harun, Roussard, Jasper, Vicca, Sara, Vienne, Arthur,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15847855"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15847855", "name": "item", "description": "10.5281/zenodo.15847855", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15847855"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-09T00:00:00Z"}}, {"id": "10.5281/zenodo.15936377", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:03Z", "type": "Dataset", "title": "Pyrogenic carbon contribution to tropical savanna soil carbon storage", "description": "Savannas are fire-prone ecosystems that contribute substantially to global burned area and fire emissions, but these emissions may be offset by the deposition of fire-derived, persistent pyrogenic carbon (PyC) in soils. While some estimates of PyC contributions to soil organic carbon (SOC) storage in savanna exist, factors driving its accumulation in soils remain largely unknown due to a lack of measurements with consistent methods in the literature. To address this knowledge gap, we sampled 253 sites at a regional scale across tropical savannas in Kruger National Park, South Africa, covering broad gradients in fire regimes, grass biomass, rainfall, and soil texture. We demonstrate that across these savannas, pyrogenic carbon contributes, on average, 14.08% (se = 0.36%, n = 253) of total SOC storage in surface soils but can reach as high as 40%. While fire frequency and grass biomass affect soil PyC stock, savannas with higher soil clay content and lower rainfall \u2013 conditions that favor PyC preservation \u2013 tend to accumulate more PyC in the soil. These results underscore the significant contribution of PyC to SOC storage in tropical savannas and highlight the environmental factors associated with its accumulation across regional scales, providing an empirical basis for understanding fire\u2019s role in the tropical savanna carbon cycle.", "keywords": ["savanna", "pyrogenic carbon", "soil carbon stock"], "contacts": [{"organization": "Zhou, Yong", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15936377"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15936377", "name": "item", "description": "10.5281/zenodo.15936377", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15936377"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-12T00:00:00Z"}}, {"id": "10.5281/zenodo.16814380", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Dataset", "title": "Assessing CO2 fluxes during enhanced weathering from soils through a mesocosm lens", "description": "It is becoming increasingly accepted that annual gigatonne-scale CO2 removal, in conjunction with rapid decarbonization, is necessary to meet international climate goals and limit global warming below 2\u00b0C. This is going to require the development and rapid scaling of new forms of carbon management. When developing new CDR techniques, it is essential to ensure that there is complete accounting of how the process affects greenhouse gas fluxes. Enhanced weathering (EW), the spreading of finely ground weatherable, cation-rich crushed rocks to soils, has the potential to sequester significant amounts of CO2 while improving soil health. However, the effect of EW affiliated increases in soil pH on soil organic carbon (SOC) decomposition and CO2 efflux from soils remain debated. It has been proposed that increasing soil pH can lead to enhanced SOC remineralization. To move forward this debate, we present CO2 flux and soil carbon pool data from a greenhouse study in large mesocosms. We focused on mildly acidic soil in which, on short time scales, cations from weathering quantitively move into the exchangeable fraction in soils. Therefore, gas fluxes changes should be largely linked to changes in SOC stores. We find no significant correlation between CO2 fluxes and soil pH and no significant correlation between CO2 fluxes and rock application. Although this does not rule out a link between soil pH and SOC remineralization rates, the effect is small relative to other factors, like temperature and soil moisture. Although minor increases in total inorganic carbon were observed in basalt-amended soils, these increases did not support a direct link between soil pH and increased CO2 emissions. We observed a small increase in soil total organic carbon stocks in basalt amended mesocosms, but this change was also not significant enough to drive a shift in observed soil CO2 fluxes.", "keywords": ["soil organic carbon", "enhanced weathering", "carbon dioxide removals", "co2", "CO2", "Enhanced weathering"], "contacts": [{"organization": "Chiaravalloti, Isabella, Zhang, Shuang, Planavsky, Noah,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16814380"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16814380", "name": "item", "description": "10.5281/zenodo.16814380", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16814380"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-04T00:00:00Z"}}, {"id": "10.5281/zenodo.16926392", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Dataset", "title": "Predictive Modeling  of Soil Types and Their Characteristics - supplementary data", "description": "The supplementary dataset accompanying a textbook 'Cherlinka, Gallay, Dmytruk (2025) Predictive Modeling \u00a0of Soil Types and Their Characteristics' contains the geospatial materials used throughout the practical exercises in Parts II and III. The data cover the territory of Slovakia and include raster and vector layers representing environmental covariates, soil samples, and derived model outputs. While some datasets have been modified or simplified for educational purposes, they are based on real, publicly available sources to ensure reproducibility and transferability to similar studies.", "keywords": ["soil organic carbon", "machine learning", "digital soil mapping", "R", "predictive modelling"], "contacts": [{"organization": "Cherlinka, Vasyl, Gallay, Michal, Dmytruk, Yuriy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16926392"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16926392", "name": "item", "description": "10.5281/zenodo.16926392", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16926392"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-22T00:00:00Z"}}, {"id": "10.5281/zenodo.16965776", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:06Z", "type": "Dataset", "created": "2025-04-24", "title": "Permafrost thaw reverses soil carbon age profiles and extends transit time in an Arctic tundra soil", "description": "unspecifiedA vertically-resolved model was developed and optimized against radiocarbon (14C) data from a 25-year snow manipulation experiment to quantify how deeper snow affects soil carbon age, transit time, and redistribution in Arctic permafrost.", "keywords": ["soil organic carbon", "Age", "Carbon dioxide", "transit time", "radiocarbon", "Permafrost", "Arctic ecosystem", "Carbon", "Alaska"], "contacts": [{"organization": "Tangarife Escobar, Andres, Pedron, Shawn Alexander, Czimczik, Claudia I., Metzler, Holger, Gonz\u00e1lez Sosa, Maximiliano, Welker, Jeffrey, Guggenberger, Georg, Sierra, Carlos,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16965776"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16965776", "name": "item", "description": "10.5281/zenodo.16965776", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16965776"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-24T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&offset=750&soil_chemical_properties=carbon&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&offset=750&soil_chemical_properties=carbon&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&soil_chemical_properties=carbon&offset=700", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?facets=true&soil_chemical_properties=carbon&offset=800", "hreflang": "en-US"}], "numberMatched": 1102, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T13:42:27.688664Z"}