{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.13347950", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:09Z", "type": "Report", "title": "Analysis of knowledge base available to monitor soil indicators proposed under the Soil Mission", "description": "The PREPSOIL\u00a0Preparing for the 'Soil Deal for Europe Mission project facilitates the deployment of the Mission across European regions. This will be achieved through the co-creation and roll out of tools\u00a0and spaces for interaction, knowledge-sharing and co-learning, as well as\u00a0stocktaking and dialogue to understand how regional assessment of soil\u00a0needs, supported by harmonized monitoring mechanisms, can then lead to\u00a0action in living labs and lighthouses for soil health.  One of the major Soil Mission components is development of a robust, harmonized soil monitoring framework, enabling assessment of policy effects and building information on soil health status trends. In order to develop such a monitoring framework, it is necessary to integrate current knowledge on existing monitoring programs and look for harmonization and improvement of the approaches applied across Europe. One of current gaps in soil monitoring is insufficient coverage of soils located in urban, forest or industrial areas.The overall objective of PREPSOIL task 5.1 is to contribute to consolidation of the Mission\u2019s soil monitoring framework by assessing how to extend the current and upcoming results from other projects dedicated to agricultural soils and existing soil monitoring initiatives to natural, forest, urban and industrial soils.The task methodology leading to collection of information on agricultural and non-agricultural soil monitoring involved two main phases: phase 1 - a review of selected (completed, ongoing, newly started) projects, supported by the European Commission, dedicated or linked to soil monitoring issues; phase 2 - an inventory of national experiences (national systems, initiatives) on soil monitoring with a special focus on non-agricultural areas. The results of these two phases constitute the basis for a broader discussion on future monitoring of non-agricultural soils. Such a discussion will be carried out in the third phase of the Task 5.1 activity.", "keywords": ["2. Zero hunger", "non-agricultural areas", "13. Climate action", "11. Sustainability", "Soil monitoring", "Healthy Soils", "15. Life on land", "Soil Mission", "PREPSOIL"], "contacts": [{"organization": "Klimkowicz-Pawlas, Agnieszka, Siebielec, Grzegorz, \u015awi\u0105tek, Karolina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13347950"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13347950", "name": "item", "description": "10.5281/zenodo.13347950", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13347950"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-12T00:00:00Z"}}, {"id": "10.5281/zenodo.13739246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "Data from: Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale", "description": "Abstract  The uploaded data are relative to the investigation around (i) the carbon source/sink nature and, further, (ii) the water and carbon balances, of a drip-irrigated and mulched watermelon. The crop was cultivated under the semi-arid climate of the Apulia region, in south Italy.  The used mulching films were biodegradable as indicate by the producer; plants and some non-standard fruits were left on the soil as green manure after harvesting, thus, the experiment spanned from planting to the subsequent crop (6 months of continuous measurement from June to November 2023).   The results detailed in the original publication indicate that mulching films contribute to carbon sequestration in the soil (+19.3 gC m\u22122). However, this mulched watermelon represents a net carbon source, with a net biome exchange, as loss from ecosystems, equal to +230 gC m\u22122. This is primarily due to the substantial amount of carbon exported through marketable fruits. Fixed water scheduling led to water waste through deep percolation (approximately 1/6 of the water supplied), which also contributed to the loss of organic carbon via leaching (\u22124.3 gC m\u22122).   \u00a0  Methods  Site and crop  The field site was at the CREA-AA Research Unit experimental farm located in southern Italy (Rutigliano\u2013Bari, 41 01\u2019 N, 17\u00b001\u2019 E, altitude 147 m a.s.l.)., characterized by a Mediterranean semi-arid climate (average annual rainfall of 535 mm). The soil is classified as Lithic Rhodoxeralf, with a clay texture, stable structure, shallow profile (0.6\u20131.1 m) and rapid drainage due to an underlying cracked limestone subsoil. The SOC content averages around 12.0 g kg\u22121. The field capacity and the permanent wilting point volumetric water contents are 0.36 and 0.21 m3 m\u22123, respectively; with a bulk density of 1.15 Mg m\u22123, the available soil water ranges from 80 to 140 mm.  The studied watermelon crop (seedless var. Lion king), followed a broccoli cabbage crop harvested in April and partially incorporated (0.81 kg m\u22122 of fresh biomass in a soil layer depth of 0.30 m, corresponding to 0.69 kgH2O m\u22122) as green manure on 25 May 2023. Main tillage at medium depth ploughing (0.30 m) and seedbed preparation were performed between 25 and 30 May 2023; the biodegradable film mulch (model PC 100 d8, BASF, Italy, 1 m width) was applied on 1 June 2023. On the same day, driplines (2.1 Lh\u22121 emitters, 0.60 m apart) and the main organic fertilization (Orga-Kem 6.11.8 + 11CaO, 300 kg ha\u22121) were also applied. The watermelon plants were transplanted on 9 June at a spacing of 2.70 m between rows and 1 m between plants, covering an area of about 4.0 ha, with a density of approximately 3200 plants ha\u22121. Every 6 rows, the inter-row distance was 5 m to facilitate machinery passage. The first irrigation was performed the day before planting. Crop management adhered to the usual treatments in the area including mechanical weed removal every 4 weeks, irrigation around three times per week to maintain optimal soil water conditions and monthly fertigation (ammonium sulphate 50 kg ha\u22121, magnesium nitrate 30 kg ha\u22121, calcium nitrate 60 kg ha\u22121, mycorrhizae 20 kg ha\u22121). The scalar harvest of marketable fruits occurred between 28 and 31 August 2023. After harvesting, on 25 September 2023, the fresh plant residues (0.6 kg m\u22122 of fresh biomass, corresponding to 0.49 kgH2O m\u22122), unharvested fruits (4.0 kg m\u22122 of fresh material, corresponding to 3.7 kgH2O m\u22122) and the mulching film were chopped by a tractor shredder and ploughed in two steps, on 2 and 13 October 2023, to a soil depth of 0.30 m. Measurements concluded at the end of November 2023, when tillage for the new winter crop commenced.  \u00a0  Measurements of H2O and CO2 fluxes; partitioning in evaporation, transpiration, photosynthesis and respiration  The eddy covariance technique was employed to monitor water vapor (H2O) and carbon dioxide (CO2) fluxes. The equipment comprised a three-dimensional sonic anemometer (uSonic 3 Scientific, Metek GmbH, 25337 Elmshorn, Germany) and a fast response open-path infrared gas analyzer (LI-7500, Li-COR Inc., Lincoln, NE, USA). The three wind components, sonic temperature and atmospheric concentrations of CO2 and H2O were continuously measured at 1.5 m above the crop canopy, with the sensor height adjusted to follow crop growth, reaching a maximum of 1.75 m.   Data were recorded at a frequency of 10 Hz on a dedicated computer using the MeteoFlux software (Servizi Territorio, S.n.c., Cinisello Balsamo, Italy) and were stored on an hourly scale. Post-processing and computation of hourly fluxes of H2O (mmol m\u22122 s\u22121) and CO2 (\u03bcmol m\u22122 s\u22121) were conducted using EddyPro software, v7.0.9 (http://www.licor.com/eddypro), applying 60 min block averaging, double coordinate rotation, the statistical test, the maximum cross-covariance method, and the WPL density correction.  H2O and CO2 fluxes were partitioned into transpiration, evaporation, photosynthesis and respiration, respectively, using the flux variance similarity method. This method utilizes the Monin\u2013Obukhov similarity theory to separate stomatal (photosynthesis, Fp, and transpiration, Ft) from non-stomatal (respiration, Fr, and evaporation, Fe) processes (Palatella et al., 2014). the H2O and CO2 EC fluxes were partitioned using an adaptation of the code in Phyton provided by (Skaggs et al., 2018) and downloaded from \u00a0https://github.com/usda-arsussl/fluxpart (V0.2.10).", "keywords": ["CO2 fluxes", "phosynthesis", "evapotranspiration", "watermelon", "eddy covariance", "trans\u00e8piration", "respiration", "evaporation"], "contacts": [{"organization": "Rana, Gianfranco, Ferrara, Rossana Monica,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13739246"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13739246", "name": "item", "description": "10.5281/zenodo.13739246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13739246"}, {"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": "1983/a5889e45-1f43-4487-9f8c-175983128b32", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:34Z", "type": "Journal Article", "created": "2021-02-08", "title": "Mercury Reduction by Nanoparticulate Vivianite", "description": "Open AccessISSN:0013-936X", "keywords": ["abiotic Hg II reduction", "Chemical Sciences not elsewhere classified", "Physiology", "0211 other engineering and technologies", "02 engineering and technology", "Hg 0", "Hg II", "PO", "01 natural sciences", "Phosphates", "Environmental Sciences not elsewhere classified", "Ferrous Compounds", "Hg II reducers", "Molecular Biology", "ferrous iron phosphate mineral vivi.", "Ecosystem", "0105 earth and related environmental sciences", "Pharmacology", "Fe II content", "Ecology", "Nanoparticulate Vivianite Mercury", "Cell Biology", "Mercury", "6. Clean water", "Fe II 3", "13. Climate action", "Oxidation-Reduction", "Biological Sciences not elsewhere classified"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.0c05203"}, {"href": "https://doi.org/1983/a5889e45-1f43-4487-9f8c-175983128b32"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1983/a5889e45-1f43-4487-9f8c-175983128b32", "name": "item", "description": "1983/a5889e45-1f43-4487-9f8c-175983128b32", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1983/a5889e45-1f43-4487-9f8c-175983128b32"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-08T00:00:00Z"}}, {"id": "10.6084/m9.figshare.11925045", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:21Z", "type": "Dataset", "created": "2020-03-03", "title": "Additional file 4 of Impact of process temperature and organic loading rate on cellulolytic / hydrolytic biofilm microbiomes during biomethanation of ryegrass silage revealed by genome-centered metagenomics and metatranscriptomics", "description": "Additional file 4. Taxonomic affiliations of metagenome-assembled genomes (MAGs) of this study originating from HR biofilms.", "keywords": ["Ecology", "FOS: Biological sciences", "110309 Infectious Diseases", "Marine Biology", "FOS: Earth and related environmental sciences", "FOS: Health sciences", "Microbiology", "59999 Environmental Sciences not elsewhere classified", "69999 Biological Sciences not elsewhere classified"], "contacts": [{"organization": "Maus, Irena, Klocke, Michael, Derenk\u00f3, Jaqueline, Stolze, Yvonne, Beckstette, Michael, Jost, Carsten, Wibberg, Daniel, Blom, Jochen, Henke, Christian, Willenb\u00fccher, Katharina, Rumming, Madis, Rademacher, Antje, P\u00fchler, Alfred, Sczyrba, Alexander, Schl\u00fcter, Andreas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.11925045"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.11925045", "name": "item", "description": "10.6084/m9.figshare.11925045", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.11925045"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.13624636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "DeDuCE: Deforestation and carbon emissions due to agriculture and forestry activities from 2001-2022", "description": "Overview  This dataset provides country-level estimates of agriculture and forestry-driven deforestation and associated carbon emissions for the period 2001-2022. A sub-national level attribution dataset is available for Brazil. Generated by the Deforestation Driver and Carbon Emission (DeDuCE) model, it amalgamates remotely sensed datasets with extensive agricultural statistics to estimate deforestation attributable to agricultural and forestry activities globally. Developed utilizing Google Earth Engine and Python, DeDuCE comprehensively covers over 9300 unique country-commodity footprints across\u00a0179 countries and 184 commodities within the specified period, presenting an unmatched scope and granularity of data.  Documentation  The manuscript detailing the dataset is currently archived at EarthArXiV:\u00a0Singh, C., & Persson, U. M. (2024). Global patterns of commodity-driven deforestation and associated carbon emissions. https://doi.org/10.31223/X5T69B  The insights from this dataset can also be viewed at:\u00a0https://www.deforestationfootprint.earth  Repository contents  The input and output/data generated by the model are archived here at\u00a0Zenodo, and their\u00a0description is available in\u00a0'README (files in the directory).txt'.  The columns of the (final) dataset 'DeDuCE_Deforestation_attribution_v1.0.1 (2001-2022).xlsx' in the folder 'Final Attribution Results' represent the following:    Continent/Country group: All countries are divided into 8 geographical regions  ISO: Three-letter country codes defined by ISO  Producer country: Country of deforestation  Year: Year of deforestation, ranges from 2001-2022\u00a0  Commodity group: All commodities are divided into 11 commodity groups  Commodity: Name of commodity aligning with FAOSTAT  Deforestation attribution, unamortized (ha): Annual deforestation estimates  Deforestation risk, amortized (ha): 5-year amortised deforestation estimates  Deforestation emissions excl. peat drainage, unamortized (MtCO2): Annual estimates of carbon emissions (based on AGB, BGB, deadwood, litter, soil organic carbon and carbon stock of replacing commodity)  Deforestation emissions excl. peat drainage, amortized (MtCO2): 5-year amortised carbon emission estimates, excluding carbon emissions from peatland drainage\u00a0  Peatland drainage emissions (MtCO2): Annual estimates of carbon emissions from peatland drainage\u00a0  Deforestation emissions incl. peat drainage, amortized (MtCO2):\u00a05-year amortised carbon emission estimates, including emissions from peatland drainage  Quality Index: Flagging deforestation estimates\u00a0   Contact  If you have any questions, you can contact us at: \u00a0 \u00a0 \u00a0 \u00a0  \u00a0 \u00a0 \u00a0 Chandrakant Singh and U. Martin Persson\u00a0 \u00a0\u00a0 \u00a0 \u00a0 Email: chandrakant.singh@chalmers.se and martin.persson@chalmers.se \u00a0\u00a0\u00a0 \u00a0 \u00a0 Physical Resource Theory, Department of Space, Earth & Environment, \u00a0\u00a0\u00a0 \u00a0 \u00a0 Chalmers University of Technology, Gothenburg, Sweden", "keywords": ["Agriculture", "Forestry", "Deforestation", "Carbon emissions"], "contacts": [{"organization": "Singh, Chandrakant, Persson, U. Martin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13624636"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13624636", "name": "item", "description": "10.5281/zenodo.13624636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13624636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-31T00:00:00Z"}}, {"id": "10.5281/zenodo.13744546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "CSIC-ProbeField SpectralDatasetMetadata-D4.2", "description": "The dataset comprises the information of the sampleset CSIC built in ProbeField-EJP Soil project on sampling date, site, crop, previous crop, depth (cm), latitude and longitude cooordinates, soil moisture (% dw), bulk density (g/cm3), labnumber, label, texture (%): coarse sand, fine sand, silt, clay, texture class. pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO3), org\u00e1nic-C\u00a0 (%), organic matter (%), total-N (%), avail-P (mg/kg), avail-K (mg/kg), elemental analysis (pXRF) and VisNIR spectra (350-2500 nm). As well as concerning the analytical methods.", "keywords": ["Compositional; CoDa; EJP Soil; NIRS; ProbeField; SOC; soil organic carbon"], "contacts": [{"organization": "L\u00f3pez-N\u00fa\u00f1ez, Rafael, Cayuela-S\u00e1nchez, Jose Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13744546"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13744546", "name": "item", "description": "10.5281/zenodo.13744546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13744546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-11T00:00:00Z"}}, {"id": "10.5281/zenodo.13753159", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "D3.2_20240117_ProbeField_Preprosessed_Spectra_V1", "description": "Open AccessDeliverable 3.2 consists of a dataset of pre-processed field spectra. The dataset includes 583 spectra collected by nine EJP Soil Probefield\u2019s partners in eight countries in 214 sampling points. Nine different VNIR spectroradiometers equipped with contact probes were used to collect the spectra (350 \u2013 2500 nm). Each spectrum corresponds to the average reflectance of five repetitions .  Soil samples were collected from each sampling point and brought to the laboratory for determining the organic content (TOC). The raw spectra were reduced in the range between 400 and 2450 to remove the spectrum tails usually containing noisy signal and the following spectral pre-treatments and transformation were applied:    1.\u00a0\u00a0\u00a0\u00a0\u00a0 Spline interpolation of the values of the edges of the middle sensor to correct steps  2.\u00a0\u00a0\u00a0\u00a0\u00a0 Savitzky-Golay smoothing filter using a second polynomial order and a window of 11 nm  3.\u00a0\u00a0\u00a0\u00a0\u00a0 Detrending spectral data by applying a SNV transformation  4.\u00a0\u00a0\u00a0\u00a0\u00a0 Spectral alignment applying a different correction factor for each spectroradiometer using the Lucky Bay sands as internal soil standard  5.\u00a0 \u00a0The spectra were further transformed using the External Parameter Orthogonalization (EPO) matrix obtained from\u00a0DT_EPO.csv to\u00a0remove the effects of soil moisture   Therefore, three different datasets were extracted:    a \u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_raw.csv: data extracted at the end of point 3  b\u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_ISS.csv: data extracted at the end of point 4  c\u00a0 \u00a0 \u00a0 D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_EPO.csv: data extracted at the end of point 5", "keywords": ["Soil sciences", "Soil", "ProbeField", "EJP SOIL", "Soil Organic Carbon", "Soil spectroscopy", "EJPSOIL", "SOC", "Proximal sensing", "soil spectral library", "Field Spectroscopy"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13753159"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13753159", "name": "item", "description": "10.5281/zenodo.13753159", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13753159"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.13951111", "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.13951111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951111", "name": "item", "description": "10.5281/zenodo.13951111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951111"}, {"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.13945384", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:13Z", "type": "Report", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The 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 stakeholders, 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 the regional, national, and European scales.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945384"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945384", "name": "item", "description": "10.5281/zenodo.13945384", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945384"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "1983/a9ecd79e-9249-4f29-b8fd-05f3f4442b8c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:34Z", "type": "Journal Article", "created": "2020-06-26", "title": "Silicon Isotopes Reveal a Non-glacial Source of Silicon to Crescent Stream, McMurdo Dry Valleys, Antarctica", "description": "In high latitude environments, silicon is supplied to river waters by both glacial and non-glacial chemical weathering. The signal of these two end-members is often obscured by biological uptake and/or groundwater input in the river catchment. McMurdo Dry Valleys streams in Antarctica have no deep groundwater input, no connectivity between streams and no surface vegetation cover, and thus provide a simplified system for us to constrain the supply of dissolved silicon (DSi) to rivers from chemical weathering in a glacial environment. Here we report dissolved Si concentrations, germanium/silicon ratios (Ge/Si) and silicon isotope compositions (\u03b430SiDSi) in Crescent Stream, McMurdo Dry Valleys for samples collected between December and February in the 2014\u22122015, 2015\u22122016, and 2016\u22122017 austral seasons. The \u03b430SiDSi compositions and DSi concentrations are higher than values reported in wet-based glacial meltwaters, and form a narrow cluster within the range of values reported for permafrost dominated Arctic Rivers. High \u03b430SiDSi compositions, ranging from +0.90\u2030 to +1.39\u2030, are attributed to (i) the precipitation of amorphous silica during freezing of waters in isolated pockets of the hyporheic zone in the winter and the release of Si from unfrozen pockets during meltwater-hyporheic zone exchange in the austral summer, and (ii) additional Si isotope fractionation via long-term Si uptake in clay minerals and seasonal Si uptake into diatoms superimposed on this winter-derived isotope signal. There is no relationship between \u03b430SiDSi compositions and DSi concentrations with seasonal and daily discharge, showing that stream waters contain DSi that is in equilibrium with the formation of secondary Si minerals in the hyporheic zone. We show that \u03b430SiDSi compositions can be used as tracers of silicate weathering in the hyporheic zone and possible tracers of freeze-thaw conditions in the hyporheic zone. This is important in the context of the ongoing warming in McMurdo Dry Valleys and the supply of more meltwaters to the hyporheic zone of McMurdo Dry Valley streams.", "keywords": ["550", "Science", "Q", "silicon", "Antartica", "15. Life on land", "551", "01 natural sciences", "hyporheic zone", "silicon isotopes", "13. Climate action", "weathering", "Antarctica", "isotopes", "permafrost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/1983/a9ecd79e-9249-4f29-b8fd-05f3f4442b8c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Earth%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1983/a9ecd79e-9249-4f29-b8fd-05f3f4442b8c", "name": "item", "description": "1983/a9ecd79e-9249-4f29-b8fd-05f3f4442b8c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1983/a9ecd79e-9249-4f29-b8fd-05f3f4442b8c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13945383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:13Z", "type": "Report", "created": "2024-10-22", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The 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 stakeholders, 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 the regional, national, and European scales.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945383"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945383", "name": "item", "description": "10.5281/zenodo.13945383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"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.13951144", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "SERENA EJP Soil - Map of Soil Sealing of Italy", "description": "Open AccessThe map of soil sealing of Italy was based on semi-automatic classification process of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. The final map is the product of a binary classification (sealed/not-sealed) having 10 m spatial resolution. The selected indicator was degree of soil sealing.", "keywords": ["ITALY", "soil threat", "soil sealing", "remote sensing", "SERENA EJPSOIL", "WP3", "Task 3.2", "H2020", "Grant n. 862695", "satellite images", "photointerpretation"], "contacts": [{"organization": "Smiraglia, Daniela, Congedo, Luca, Marinosci, Ines, De Fioravante, Paolo, ASSENNATO, FRANCESCA, Munaf\u00f2, Michele, Riitano, Nicola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951144", "name": "item", "description": "10.5281/zenodo.13951144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951144"}, {"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.13951151", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Grant  n. 862695", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951151"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951151", "name": "item", "description": "10.5281/zenodo.13951151", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951151"}, {"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.13952097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil erosion control in Tuscany (Italy)", "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 stakeholders, 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 the regional, national, and European scales.  One of the\u00a0objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The present data was prepared according to the methodology of the SERENA Soil erosion and soil erosion control cookbook.\u00a0 Soil loss was used as an indicator for soil erosion (ST). The map of soil mass not eroded was based on the RUSLE model. Soil erosion control was calculated as the difference between potential and actual soil erosion (SES, ecosystem service of soil erosion protection, i.e. soil eroded mass retained by vegetation, Mg/ha/y). For Italy, the cookbook was applied in the Tuscany region. \u00a0     To create the soil loss map we used:\u00a0       for R-factor, not freely available database of meteorological parameters spatialized at 250 m (minimum and maximum daily air temperature; cumulate daily precipitation) over Tuscany region (period 1990\u20132022, Lamma Consortium)\u00a0 and a local linear equation between R and mean annual precipitation (P);   for C -factor, Regional Land use map 1:10.000 (2018, freely available at:\u00a0https://www502.regione.toscana.it/geoscopio/usocoperturasuolo.html) and ESDAC method (https://doi.org/10.1016/j.landusepol.2015.05.021) ; \u00a0  for K-factor, sand, silt, clay, and O.C. (%) maps (built from 4.000 soil profiles, following FAO\u2019s methodology in GSP-GSOC map, Lamma Consortium), and Torri et al. (1997) function;   for LS-factor, DEM 10 m of Tuscany, (freely available at\u00a0https://www502.regione.toscana.it/geoscopio/cartoteca.html99) and Desmet & Govers (1996) SAGA tool (applied at 10 m and upscaled);   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor of\u00a0 0.5\u00a0 was considered, based on expert evaluation)   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor\u00a0of\u00a0 0.5\u00a0 was considered, based on expert evaluation)\u00a0      Maps was delivered in the GeoTIFF format in the resolution of 100m. \u00a0     Delivered data will be validated by stakeholders from Italy (scientist) in October, 2024.", "keywords": ["Italy", "Tuscany", "SERENA project", "Soil-based ecosystem service", "RUSLE", "soil erosion control", "Grant n. 862695", "EJP-Soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13952097"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13952097", "name": "item", "description": "10.5281/zenodo.13952097", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13952097"}, {"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.13969874", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "created": "2024-10-20", "title": "SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE", "description": "The 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 stakeholders, 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 the regional, national, and European scales. \u00a0  This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images.", "keywords": ["EJP SOIL", "soil threat", "soil sealing", "remote sensing", "Austria", "2018", "D3.3", "SERENA"], "contacts": [{"organization": "Foldal, Cecilie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969874"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969874", "name": "item", "description": "10.5281/zenodo.13969874", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969874"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13951145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "SERENA EJP Soil - Map of Soil Sealing of Italy", "description": "Open AccessThe map of soil sealing of Italy was based on semi-automatic classification process of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. The final map is the product of a binary classification (sealed/not-sealed) having 10 m spatial resolution. The selected indicator was degree of soil sealing.", "keywords": ["ITALY", "soil threat", "soil sealing", "remote sensing", "SERENA EJPSOIL", "WP3", "Task 3.2", "H2020", "Grant n. 862695", "satellite images", "photointerpretation"], "contacts": [{"organization": "Smiraglia, Daniela, Congedo, Luca, Marinosci, Ines, De Fioravante, Paolo, ASSENNATO, FRANCESCA, Munaf\u00f2, Michele, Riitano, Nicola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951145"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951145", "name": "item", "description": "10.5281/zenodo.13951145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951145"}, {"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.13951152", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951152"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951152", "name": "item", "description": "10.5281/zenodo.13951152", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951152"}, {"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.13969536", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-10-22", "title": "Review of existing modelling studies focusing on specific soil-based ecosystem services (SES) and threats (ST) including climate change, management and land use change scenarios.", "description": "We reviewed existing modelling studies focusing on soil ecosystem services (SES) and soil threats (ST) including climate change, land use change and management scenarios. A publication has been submitted and is currently being reviewed. The title of the manuscript is: Assessing and mapping soil ecosystem services and soil threats changes in agroecosystems through scenario-based approaches \u2013 a systematic review.   Work was split between various authors. All Co-authors were working on either one or more SES or one ST. Excel sheets were prepared by INRA and BFW to ensure the comparability of results that members extracted from the papers found. Literature search was done in Scopus and Web of Science. The final list of related publications is reported here.", "keywords": ["Europe", "WP3", "T3.3", "litererature review", "scenario analysis", "Serena EJPSOIL", "soil threats", "Grant n 862695", "D3.4", "soil ecosystem services"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969536"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969536", "name": "item", "description": "10.5281/zenodo.13969536", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969536"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13969537", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-10-22", "title": "Review of existing modelling studies focusing on specific soil-based ecosystem services (SES) and threats (ST) including climate change, management and land use change scenarios.", "description": "We reviewed existing modelling studies focusing on soil ecosystem services (SES) and soil threats (ST) including climate change, land use change and management scenarios. A publication has been submitted and is currently being reviewed. The title of the manuscript is: Assessing and mapping soil ecosystem services and soil threats changes in agroecosystems through scenario-based approaches \u2013 a systematic review.   Work was split between various authors. All Co-authors were working on either one or more SES or one ST. Excel sheets were prepared by INRA and BFW to ensure the comparability of results that members extracted from the papers found. Literature search was done in Scopus and Web of Science. The final list of related publications is reported here.", "keywords": ["Europe", "WP3", "T3.3", "litererature review", "scenario analysis", "Serena EJPSOIL", "soil threats", "Grant n 862695", "D3.4", "soil ecosystem services"], "contacts": [{"organization": "Kitzler, Barbara, Scammacca, Ottone, Walter, Christian, Montagne, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969537"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969537", "name": "item", "description": "10.5281/zenodo.13969537", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969537"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13969875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "created": "2024-10-20", "title": "SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE", "description": "The 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 stakeholders, 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 the regional, national, and European scales. \u00a0  This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images.", "keywords": ["EJP SOIL", "soil threat", "soil sealing", "remote sensing", "Austria", "2018", "D3.3", "SERENA"], "contacts": [{"organization": "Foldal, Cecilie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969875"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969875", "name": "item", "description": "10.5281/zenodo.13969875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13972269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972269", "name": "item", "description": "10.5281/zenodo.13972269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13982527", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Software", "title": "Deliverable D4.2 - Planning & design tool for drinking water treatment for PFAS & industrial chemicals", "description": "A planning and design tool for the removal of Per- and Polyfluoroalkyl substances (PFAS) and other industrial persistent, mobile and potentially toxic (iPMT) substances for drinking water treatment plants with DOC-rich source water was developed.  Within PROMISCES technologies to remediate PFAS and iPMT(s) in several environmental media have been developed. This deliverable D2.4 'Planning & design tool for drinking water treatment for PFAS & industrial chemicals' reports on a tool developed to improve planning and design of drinking water treatment trains for PFAS and iPMT, especially focussing on the adsorption onto granular activated carbon (GAC), alternative adsorbents and removal using ion exchange (IX) resins. Despite several previous studies on PFAS and iPMT removal during drinking water treatment, there are still information gaps on how to best implement suitable treatment trains in practice. The design of a suitable treatment train will depend on the effectiveness of the adsorbent for the removal of various mixtures of chemicals, different background water qualities as well as treatment goals. Modelling tools can be used to predict treatment performance under varying conditions and are especially helpful to improve the informative value of pilot tests. For example, potential changes in influent concentration, background water quality, flow rate, adsorbent bed height not covered in pilot tests can be simulated using models. Whereas GAC adsorption is already well studied, competitive adsorption of dissolved organic matter (DOM) and PFAS and iPMT is less understood and design tools are lacking. The developed drinking water treatment and design tool (DWTDT) is applicable for fixed-bed adsorber design in water treatment trains. It allows to predict operation times until exhaustion of fixed-bed adsorbers using GAC or ion exchange resins. This includes a rough estimation of ideal breakthrough using equilibrium isotherm data as main input data as well as prediction of the dynamic breakthrough using additional input parameters describing internal and external mass transfer.  Dynamic breakthrough prediction is based on the pore surface diffusion model (PSDM) developed by the United States Environmental Protection Agency (EPA) and extended with the so-called tracer model (TRM), allowing to map the breakthrough of DOM and its competing effects on PFAS and iPMT removal. Both, the original model by the EPA as well as the DWTDT were developed using the programming language python. A user interface was built for the DWTDT to make it more user-friendly. The model was tested with experimental input data from the laboratory tests and validated with pilot plant data gained in the PROMISCES project. The DWTDT is publicly available on GitHub. This will allow users to simulate simultaneous DOM, PFAS and iPMT breakthrough in drinking water treatment trains using adsorbents or ion exchange resins provided the necessary input data including single solute isotherm data, external mass transfer coefficients, internal diffusion coefficients, adsorption parameters for DOM background are known or can be estimated.", "keywords": ["Deliverable", "Adsorption Analysis", "iPMT", "PFAS", "Tracer Model", "Pore Surface Diffusion Model", "H2020 PROMISCES", "Adsorption", "Drinking water treatment processes", "Ideal Adsorbed Solution Theory"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13982527"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13982527", "name": "item", "description": "10.5281/zenodo.13982527", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13982527"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13972270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972270", "name": "item", "description": "10.5281/zenodo.13972270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13991087", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Report", "title": "Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  \u2022It is the result of a modelling exercise and does not necessarily reflect reality.  \u2022Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .   \u2022It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.  \u2022These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.   ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["bundles", "soil sealing", "soil erosion", "Life Science", "GHG control", "soil-based ecosystem services", "soil threats", "SOC loss"], "contacts": [{"organization": "Hessel, Rudi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13991087"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13991087", "name": "item", "description": "10.5281/zenodo.13991087", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13991087"}, {"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.13993234", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders EROSION SOILLOSS 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 stakeholders, 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 the regional, national, and European scales.  The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall,\u00a0LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.  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 EROSION SOILLOSS cookbook  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["soil erosion", "Belgium", "EROSION", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "SOILLOSS", "Flanders", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Callewaert, Seth, Oorts, Katrien, Luts, Dries, Deproost, Petra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993234"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993234", "name": "item", "description": "10.5281/zenodo.13993234", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993234"}, {"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.13993556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK Erosion SoilErosion", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .     It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.      Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Slovakia", "soil erosion", "SERENA project", "RUSLE", "Erosion cookbook", "Grant  n 862695", "Grant n 862695", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993556"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993556", "name": "item", "description": "10.5281/zenodo.13993556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-29T00:00:00Z"}}, {"id": "10.5281/zenodo.13993235", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders EROSION SOILLOSS 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 stakeholders, 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 the regional, national, and European scales.  The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall,\u00a0LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.  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 EROSION SOILLOSS cookbook  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["soil erosion", "Belgium", "EROSION", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "SOILLOSS", "Flanders", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Callewaert, Seth, Oorts, Katrien, Luts, Dries, Deproost, Petra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993235"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993235", "name": "item", "description": "10.5281/zenodo.13993235", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993235"}, {"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.13993557", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK Erosion SoilErosion", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .     It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.      Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Slovakia", "soil erosion", "SERENA project", "RUSLE", "Erosion cookbook", "Grant n 862695", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993557"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993557", "name": "item", "description": "10.5281/zenodo.13993557", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993557"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-29T00:00:00Z"}}, {"id": "10.5281/zenodo.13993747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK SOIL Erosion ErosionControl", "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 stakeholders, 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 the regional, national, and European scales.    The present data was prepared according to the methodology of SERENA soil erosion control cookbook for the territory of Slovakia. The map of soil loss by water erosion (soil threat) was based on the RUSLE model. or the soil erosion control, the difference between the erosion map without vegetation (C-factor = 1) and the erosion map with vegetation was calculated.\u00a0      The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats.\u00a0     To create the soil loss map we used theese data:\u00a0     \u00a0R factor - we used data from 100 automatic rain stations on minute rainfall for about 10-year period (national dataset)\u00a0     K factor \u2013 we used the\u00a0 source proposed in the cookbook from ESDAC\u00a0 dataset: Soil Erodibility (K- Factor) High Resolution dataset for Europe\u00a0     LS factor \u2013 we used the\u00a0 source proposed in the cookbook from ESDAC dataset: LS-factor (Slope Length and Steepness factor) for Slovakia\u00a0     C factor \u2013 we used LPIS database-this has information about crops on agricultural soil. We have values of C factor for all crops.\u00a0     P factor \u2013 we used the source proposed in the cookbook from ESDAC dataset:\u202fP factor for Slovakia. This map has values about 0.99 for Slovakia, so P-factor does not have much effect on the resulting erosion.\u00a0\u00a0     The delivered map was prepared in GeoTIFF format in the resolution of 500 * 500 m.", "keywords": ["Slovakia", "Soil-based ecosystem service", "RUSLE", "soil erosion control", "Grant n 862695", "Grant  n 862695", "Serena project", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993747"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993747", "name": "item", "description": "10.5281/zenodo.13993747", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993747"}, {"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.1404255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:19Z", "type": "Report", "title": "Diverfarming General Brochure", "description": "Open AccessThis project has received funding from the European Union\u2019s Horizon 2020 Research and Innovation Programme under grant agreement No 728003", "keywords": ["2. Zero hunger", "Sostenibilidad agr\u00edcola", "Agricultura", "Diversificaci\u00f3n de cultivos", "Agriculture", "farm sustainability", "15. Life on land", "7. Clean energy", "Soil quality", "12. Responsible consumption", "Edafolog\u00eda y Qu\u00edmica Agr\u00edcola", "crop diversification", "13. Climate action", "Crop diversification", "5102.01 Agricultura", "Rentabilidad de la granja", "11. Sustainability", "Calidad del suelo", "Farm profitability", "soil quality", "Farm sustainability", "farm profitability", "agriculture"], "contacts": [{"organization": "M\u00e1rquez, Silvia, L\u00e1zaro, Elena, Zornoza, Ra\u00fal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1404255"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1404255", "name": "item", "description": "10.5281/zenodo.1404255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1404255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:40Z", "type": "Journal Article", "created": "2020-12-16", "title": "Local Action with Global Impact: The Case of the GROW Observatory and the Sustainable Development Goals", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This article reports on Citizen Observatories\u2019 (COs) potential to contribute to the Sustainable Development Goals (SDGs), reflecting on the experience of the GROW Observatory (GROW). The research aims to take the first steps in closing the gap in the literature on COs\u2019 potential contributions to the SDG framework, beyond quantitative data contributions for indicator monitoring. Following an analysis of project activities and outcomes mapped against the SDG framework, the findings reveal GROW\u2019s potential contributions across two dimensions: (i) Actions to advance the implementation of goals and targets through awareness raising and training; participatory methods; multi-stakeholder connections; and supporting citizens to move from data to action and (ii) Data contributions to SDG indicator monitoring through citizen-generated datasets. While earlier research has focused mostly on the latter (dimension ii), CO activities can impact numerous goals and targets, highlighting their potential to relate global SDGs to local level action, and vice versa. These findings align with the growing literature on COs\u2019 ability to bring together policy makers, scientists and citizens, and support changes to environmental policy and practice. Furthermore, this research suggests groundwork activities that address the goal and target level can also enhance sustained data collection to contribute to indicator level monitoring. We conclude with future trends and recommendations for COs wishing to contribute to the SDGs.</p></article>", "keywords": ["participatory policy making", "330", "Sustainable Development Goals", "open data", "01 natural sciences", "333", "sustainable development Goals", "63 Sociolog\u00eda", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "Citizen Observatory", "co-design", "citizen observatory", "SDG indicators", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/1/sustainability-12-10518.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16942/2/sustainability-12-10518-s001.pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10518/pdf"}, {"href": "https://doi.org/20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751", "name": "item", "description": "20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/9f80250d-86e9-4189-ae84-22acf2256751"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-16T00:00:00Z"}}, {"id": "10.5281/zenodo.14002493", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:17Z", "type": "Report", "title": "Pedotransfer Functions Versus Model Structure: What Drives Variance in Agro-Hydrological Model Results?", "description": "Pedotransfer functions (PTFs) are widely used empirical relationships to estimate soil hydraulic parameters. PTFs are usually derived from point soil samples analysed in the field or laboratory; thus, they contain uncertainties at different levels (i.e., from sampling and measuring techniques, as well as empirical approaches chosen to quantify relationships). When PTFs are used to parametrize agro-hydrological models, both the choice of PTF and the choice of the model may influence the simulation results. Both sources of variance (PTF choice and model structural differences) were found to be relevant in previous studies, but how they relate to each other has rarely been investigated. In this study, we addressed this research gap by conducting a systematic analysis of the variance in selected agro-hydrological model outputs (i.e., seepage water, soil water content, actual evapotranspiration, transpiration, biomass production) based on an ensemble of 18 PTFs applied to four agro-hydrological models, namely: APEX, CANDY, DAISY and SWAP. The models were calibrated for aboveground biomass and phenology of silage maize and evaluated using data of actual evapotranspiration, seepage water and soil water content obtained from a lysimeter facility in Switzerland. ANOVA-based variance partitioning was applied to attribute variance in model outputs to two uncertainty sources (PTF choice, model choice). Overall, we found that agro-hydrological model structural differences had a larger influence on the variance in model outputs than PTF differences. Further analyses undertaken per model showed that the sensitivity of the simulated outputs to the choice of PTF differed between the models; our results showed that the models integrating the Richards equation (SWAP, DAISY) were more sensitive to the choice of PTF than those using a reservoir cascade approach (APEX, CANDY). Our results also showed that simulated outputs using the mean of a PTF ensemble performed better than when using a single PTF, irrespective of the model and output variable. We therefore recommend using PTF ensembles in agro-hydrological modelling studies. The benefit of using large PTF ensembles is, however, likely to be reduced in larger ensembles of agro-hydrological models, as structural model uncertainties will dominate over PTF uncertainties, according to the four-member model ensemble investigated here.", "keywords": ["CANDY", "seepage", "DAISY", "model ensemble", "lysimeter", "SWAP", "evapotranspiration", "soil water", "APEX", "yield"], "contacts": [{"organization": "Turek, Maria Eliza, Pullens, Johannes, Meuer, Katharina, Moura-Lima, Edberto, Bano Mehdi-Schulz, Bano, Holzk\u00e4mper, Annelie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14002493"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14002493", "name": "item", "description": "10.5281/zenodo.14002493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14002493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-17T00:00:00Z"}}, {"id": "10.5281/zenodo.14006019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:17Z", "type": "Dataset", "title": "SERENA EJP SOIL: Soil water erosion map of Hungary according to the RUSLE model", "description": "The internal EJP SOIL project\u00a0SERENA 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.  Present data was prepared according to the methodology of SERENA Soil erosion and soil erosion control cookbook for the territory of Hungary. The map of soil loss by water erosion (soil threat) was based on the RUSLE model. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion (ST). To create the soil loss map we used data on yearly precipitation of CARPATCLIM database, and AGRI4CAST MARS (R-factor); sand-, silt-, and clay content of DOSoReMI.hu database, and SOC map compiled in the framework of SERENA (K-factor); ESDAC LS-factor for the EU; ESDAC Cover Management factor for the EU (C-factor); ESDAC Support Practices factor for the EU (P-factor).", "keywords": ["EJP SOIL", "Hungary", "RUSLE", "water erosion", "erosion", "SERENA"], "contacts": [{"organization": "Laborczi, Annam\u00e1ria, Gedeon, Csongor Istv\u00e1n, Csontos, P\u00e9ter, P\u00e1sztor, L\u00e1szl\u00f3,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14006019"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14006019", "name": "item", "description": "10.5281/zenodo.14006019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14006019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.14017262", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:18Z", "type": "Dataset", "created": "2024-07-02", "title": "SERENA EJPSOIL PL EROSION SOIL LOSS", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["862695", "Agricultural soils", "Soil threats", "RUSLE", "Poland", "SERENA", "Soil Loss", "EJP-SOIL", "Soil Erosion"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017262"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017262", "name": "item", "description": "10.5281/zenodo.14017262", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017262"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14017261", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:18Z", "type": "Dataset", "created": "2024-07-02", "title": "SERENA EJPSOIL PL EROSION SOIL LOSS", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["862695", "Agricultural soils", "Soil threats", "RUSLE", "Poland", "SERENA", "Soil Loss", "EJP-SOIL", "Soil Erosion"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017261"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017261", "name": "item", "description": "10.5281/zenodo.14017261", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017261"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"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.14018112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:18Z", "type": "Dataset", "created": "2024-09-10", "title": "SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["RUSLE", "Poland", "Agricultural Land", "Erosion Control", "Soil-based Ecosystem Services", "SERENA", "EJP-SOIL", "Soil Mass Not Eroded"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14018112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14018112", "name": "item", "description": "10.5281/zenodo.14018112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14018112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14018111", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:18Z", "type": "Dataset", "created": "2024-09-10", "title": "SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["RUSLE", "Poland", "Agricultural Land", "Erosion Control", "Soil-based Ecosystem Services", "SERENA", "EJP-SOIL", "Soil Mass Not Eroded"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14018111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14018111", "name": "item", "description": "10.5281/zenodo.14018111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14018111"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14044657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:19Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders soil sealing 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 stakeholders, 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 the regional, national and European scales.The data was prepared according to the Level 2 methodology of the SERENA soil sealing cookbook. For Belgium, the application was carried out at the regional scale for the Flanders region. \u00a0The automatically generated yearly soil sealing maps (1 m resolution GeoTIFF rasters)\u00a0combine \u201cknown\u201d sealing from administrative databases (buildings and transport infrastructure) with modelled sealing based on artificial intelligence. Administrative databases do not (adequately) cover parking lots, private driveways and garden terraces, which are a substantial part of the sealed area in Flanders. Hence, a machine learning model was built for deriving this remaining sealing from aerial imagery. For this purpose, an assessor manually labeled the sealed parts on a subset of the images. Based on this training set, a convolutional neural network model was used to produce a sealing probability map, which was converted to a binary modelled sealing map. Finally, a continuity correction was applied to ensure a temporally consistent result across the yearly maps. \u00a0The objective of the SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The selected indicator was the degree of soil sealing. By evaluating this degree at two moments in time, the change in soil sealing can be determined. \u00a0\u00a0The following data were used:\u00a0         Large-scale Reference Database (Grootschalig Referentiebestand or Basiskaart), the digital topographic reference map for Flanders (vector)\u00a0           Medium-scale annual winter aerial images of Flanders (15 or 25 cm raster resolution)    This dataset is originally hosted at Geopunt (www.geopunt.be). For the most up-to-date version of the dataset, please access the data from the Geopunt repository.", "keywords": ["soil sealing", "remote sensing", "BELGIUM (FLANDERS)", "aerial images", "SERENA", "EJP-Soil", "photointerpretation"], "contacts": [{"organization": "Cockx, Kasper, Oorts, Katrien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14044657"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14044657", "name": "item", "description": "10.5281/zenodo.14044657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14044657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.14019130", "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.14019130"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14019130", "name": "item", "description": "10.5281/zenodo.14019130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14019130"}, {"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.14036322", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:19Z", "type": "Dataset", "created": "2024-11-04", "title": "Geochemistry of soils and eroded suspended sediments from two large rural catchments in southern Brazil for studies on Suspended Sediment Fingerprinting", "description": "1. Introduction  This dataset comes from a research project entitled 'Water and pollutants, from cropfields to cities: evaluation and improved of soil management technologies in a catchment network ' supported by the Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS) and National Council for Scientific and Technological Development (CNPq) (process n\u00b010/0034-0). The project was carried out between 2010 and 2014 under the coordination of Jos\u00e9 Miguel Reichert and Danilo Rheinheimer dos Santos, professors at the Federal University of Santa Maria. One of the aims of this project was to understand the main pollutant transfer process from hillslopes to fluvial systems in large rural catchments representative of the agricultural production system in Southern Brazil. In this context, the Suspended Sediment Fingerprinting (SSF) was extremely useful for quantifying the origin of the sediment yield monitored at the outlet of these catchments. Among the various works carried out in this project, we highlight Tales Tiecher's doctoral thesis (Tiecher, 2015) that explored the SSF in many catchments, including the Concei\u00e7\u00e3o and Guapor\u00e9 river basins.  2. Material and Methods  The catchments represent the magnitude of erosive and hydrological processes representative of Southern Brazil. The Concei\u00e7\u00e3o catchment has a drainage area of 804 km2 (28\u00b027\u203222\u2033S and 53\u00b058\u203224\u2033 W). According to K\u00f6ppen, the climate is Cfa type, with an annual rainfall between 1,750 and 2,000 mm. Geology is riodacithe basalt, with a formation of deep and highly weathered soils (Oxisols, Ultisols, and Alfisols). The relief is characterized by gentle slopes (6\u20139 %) on top and hillside slopes and higher steepness (10\u201314%) near the drainage channels. Farming based on the production of soybeans (Glycine max) in summer and wheat (Triticumspp.), oats (Avena strigosa), and ryegrass (Lolium multiflorum) in winter. The Guapor\u00e9 catchment has a drainage area of 1,980 km2 (28\u00b054\u203241\u2033S and 51\u00b057\u203210\u2033W), it covers part of the meridional plateau border. The climate is classified as Cfa, with annual rainfall varies between 1,400 and 2,000 mm. Geology is characterized by volcanic lava flows, and topography is undulating to hilly. Due to variations in landscape, several classes of soils (Entisols, Luvisol, Cambisol, Oxisol, Ultisol, and Chernosol). The land use is highly heterogeneous. In the upper third of the catchment, there is a predominance of soybean cultivated under no-tillage soil management. In the other two-thirds (middle and lower parts), land use and soil management are very heterogeneous. The main land uses are tobacco (Nicotiana tabacum) and maize (Zea mays) crops, Eucalyptus (Eucalyptus spp.), as well as pastures for dairy cattle. The contribution of unpaved roads is relevant to the sediment yield in both catchments (Didon\u00e9 et al., 2014). Composite samples of potential sediment sources (cropland, unpaved roads, and stream channel banks) were collected. Sediment source samples were taken from the surface soil layer (0\u20130.05 m) of cropland and unpaved roads and on exposed sites located along the river channel network. Each sample was composed of at least 10 subsamples. To obtain representative samples of suspended sediment transported in the catchment\u2019s outlet were used three strategies: (1) to collect flood suspended sediments (FSS) through the manual sampling (USDH-48) at different periods during the rising and falling stages of floods; (2) to deploy time-integrated suspended sediment samplers (TISS), by installing the device developed by Phillips et al. (2000) at different sites within the catchments; to collect fine-bed sediment (FBS) with a suction stainless sampler limiting the loss of fine material at the bed river. Source and sediment samples were oven\u2010dried at 50 \u00b0C, gently disaggregated using a pestle and mortar, and then sieved to 62,5 \u03bcm. The geochemical tracers evaluated were total organic carbon estimated by wet oxidation (K2Cr2O7 + H2SO4) and the total concentration of Al, Ba, Be, Ca, Co, Cr, Cu, Fe, K, La, Li, Mg, Mn, Na, Ni, P, Pb, Sr, Ti, V, and Zn using inductively coupled plasma optical emission spectrometry after microwave\u2010assisted digestion with concentrated HCl and HNO3 (ratio 3:1) for 9.5 min at 182 \u00b0C (Tiecher, 2015; Tiecher et al. 2017, 2018).  \u00a0 3. Final remarks  \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The SSF results provided by this dataset (Tiecher, 2015) combined with sediment yield monitoring were very important for the assessment and modeling studies in these two catchments that took place after that (Didon\u00e9 et al., 2015; 2017). In addition, other studies have explored the same sample bank, expanding upon the array of tracer properties and increasing our understanding about the mechanisms of sediment and pollutant transfer in these catchments (Le Gall et al. 2017; Zafar et al., 2017; Ramon et al., 2020).  \u00a04. References  \u00a0Didon\u00e9, E. J., Minella, J. P. G., Reichert, J. M., Merten G. H., Dalbianco, L., Barros, C. A. P., Ramon, R. (2014) Impact of no-tillage agricultural systems on sediment yield in two large catchments in southern Brazil. J Soils Sediments 14:1287\u20131297.  Didon\u00e9, E.J., Minella, J.P.G., Evrard, O. (2017). Measuring and modelling soil erosion and sediment yields in a large cultivated catchment under no-till of Southern Brazil. Soil Tillage Res. 174, 24-33. https://doi.org/10.1016/j.still.2017.05.011  Didon\u00e9, E. J.; Minela, J. P. G.; Merten, G. H. (2015). Quantifying soil erosion and sediment yield in a catchment in southern Brazil and implications for land conservation. J. Soils Sediments 11, 2334-2346. https://doi.org/10.1007/s11368-015-1160-0  le Gall, M., Evrard, O., Dapoigny, A., Tiecher, T., Zafar, M., Minella, J. P. G., Laceby, J. P., & Ayrault, S. (2017). Tracing sediment sources in a subtropical agricultural catchment of southern Brazil cultivated with conventional and conservation farming practices. Land Degradation and Development, 28(4). https://doi.org/10.1002/ldr.2662  Ramon, R., Evrard, O., Laceby, J. P., Caner, L., Inda, A. v., Barros, C. A. P., Minella, J. P. G., & Tiecher, T. (2020). Combining spectroscopy and magnetism with geochemical tracers to improve the discrimination of sediment sources in a homogeneous subtropical catchment. Catena, 195, 104800. https://doi.org/10.1016/j.catena.2020.104800  Tiecher, T. (2015). Fingerprinting sediment sources in agricultural catchments in Southern Brazil. Doctoral Dissertation in Soil Science. Universidade Federal de Santa Maria, Santa Maria, RS.  Tiecher, T., Minella, J. P. G., Caner, L., Evrard, O., Zafar, M., Capoane, V., le Gall, M., & Santos, D. R. D. (2017). Quantifying land use contributions to suspended sediment in a large cultivated catchment of Southern Brazil (Guapor\u00e9 River, Rio Grande do Sul). Agriculture, Ecosystems and Environment, 237. https://doi.org/10.1016/j.agee.2016.12.004  Tiecher, T., Minella, J. P. G., Evrard, O., Caner, L., Merten, G. H., Capoane, V., Didon\u00e9, E. J., & dos Santos, D. R. (2018). Fingerprinting sediment sources in a large agricultural catchment under no-tillage in Southern Brazil (Concei\u00e7\u00e3o River). Land Degradation and Development, 29(4). https://doi.org/10.1002/ldr.2917.  Zafar, M., Tiecher, T., Capoane, V., Troian, A., dos Santos, D.R. (2017). Characteristics, lability and distribution of phosphorus in suspended sediment from a subtropical catchment under diverse anthropic pressure in Southern Brazil. Ecol. Eng. 100, 28\u201345.", "keywords": ["No-tiilage", "Fingerprinting approach", "Soil erosion", "Sediment yield", "Sediment quality", "Brazil"], "contacts": [{"organization": "Tiecher, Tales, Minella, Jean P G, Reichert, Jos\u00e9 Miguel, dos Santos, Danilo R, Bender, Marcos, Didon\u00e9, Elizeu, Barros, Cl\u00e1udia A., Dalbianco, Leandro, Ramon, Rafael, Capone, Viviane,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14036322"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14036322", "name": "item", "description": "10.5281/zenodo.14036322", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14036322"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-04T00:00:00Z"}}, {"id": "10.5281/zenodo.14034735", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:19Z", "type": "Report", "title": "Rewetting of drained peatlands provides  permanent and fast GHG mitigation. EJP Soil Policy brief.", "description": "Summary for Policy brief  Greenhouse gas (GHG) emissions from drained peatlands are >100 Mt CO2 eq. annually in EU. In rewetting, water level is raised to mitigate emissions of CO2 and N2O from peat decomposition. Paludiculture is the practice of rewetting coupled with crop biomass harvest. Studies on paludiculture at selected sites showed: Raising the water table decreases peat decomposition, It is difficult to reach net carbon (C) sequestration, Biomass harvest does not necessarily compromise improvement in the C balance, High range of N2O emissions (from minor to high), Moderate CH4 emissions.", "keywords": ["ground water table", "EJP Soil", "rewetting", "greenhouse gas emissions", "greenhouse gas", "peatland", "paludiculture", "peat soil"], "contacts": [{"organization": "L\u00e5ng, Kristiina, van de Craats, Dani\u00ebl, Honkanen, Henri, Elsgaard, Lars, Hessel, Rudi, Kekkonen, Hanna, Larmola, Tuula, Leifeld, Jens, L\u00e6rke, Poul Erik, Rodriguez, Andres, Saarnio, Sanna, Zhao, Junbin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14034735"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14034735", "name": "item", "description": "10.5281/zenodo.14034735", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14034735"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-10T00:00:00Z"}}, {"id": "10.5281/zenodo.14039385", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:19Z", "type": "Dataset", "title": "Maps of topsoil (0-30 cm) properties of Tuscany (Italy)", "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 stakeholders, 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 the regional, national, and European scales.  The topsoil (0-30 cm) properties maps are prepared to evaluate soil ecosystem services in SERENA/EJP-Soil and for applying SOC loss Cookbook and SOIL Loss Cookbook. In particular Soil Organic Carbon content map was directly considered as an application of SOC loss Cookbook (DOI: 10.5281/zenodo.13951265\u00a0Version 3).  They are based on Tuscany Region soil database available at Geoscopio (https://www502.regione.toscana.it/geoscopio/pedologia.html) and on point soil data not freely available (Lamma Consortium). More information and requests to:\u00a0info@lamma.toscana.it.  In accordance with the methodology reported in the Soil Organic Carbon Mapping Cookbook (Yigini et al., 2018), the following soil properties were mapped for all Tuscany Region:    soil organic carbon content (dag/kg),  soil organic carbon stock (t/ha),  textural fractions (sand, silt and clay, USDA limits, dag/kg),  rock fragments (vol/vol),  pH in water,  bulk density (g/cm3).   They were obtained through Digital Soil Mapping (DSM) approach, based on correlations with numerous environmental factors and using Random Forest algorithm.  All the maps have a 100 m spatial resolution.", "keywords": ["silt", "bulk density", "pH", "soil organic carbon content", "sand", "clay", "Grant n. 862695", "Digital Soil Mapping", "textural fractions", "Italy", "topsoil properties", "Tuscany", "soil organic carbon stock", "EJP-SOIL", "SERENA Project"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14039385"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14039385", "name": "item", "description": "10.5281/zenodo.14039385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14039385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-05T00:00:00Z"}}, {"id": "10261/271651", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", 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\u0643\u0628\u064a\u0631 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0648\u0627\u0644\u0623\u062e\u0627\u062f\u064a\u062f \u0648\u0628\u0646\u0648\u0643 \u0627\u0644\u0645\u064a\u0627\u0647 \u0648\u0627\u0644\u0634\u0631\u0627\u0626\u0637/\u0627\u0644\u0623\u0648\u062c\u0647 \u063a\u064a\u0631 \u0627\u0644\u0645\u0646\u062a\u062c\u0629) \u063a\u064a\u0631 \u0646\u0628\u0627\u062a\u064a (57 \u066a). \u0644\u0630\u0644\u0643\u060c \u064a\u062c\u0628 \u0627\u0644\u0646\u0638\u0631 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0641\u064a \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10261/271651"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/271651", "name": "item", "description": "10261/271651", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/271651"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14055243", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:20Z", "type": "Dataset", "title": "Plasticulture detection at the country scale by combining multispectral and SAR satellite data", "description": "Open AccessThe data is split into 4 parts:  Part 1 \u2013 Regions for training plasticulture detection: the shapefile contains polygonal areas collected in Western Germany and used to train a random forest algorithm for plasticulture detection. The data is stored in file ESR02_11.zip while meta data can be found in ESR02_11.pdf.  Part 2 \u2013 Google Earth Engine scripts for plasticulture detection: the folder contains 5 Jupyter Notebook files, representing the scripts used to detect plasticulture in Germany, and to export and evaluate the results. The data is stored in file ESR02_12.zip while meta data can be found in ESR02_12.pdf.  Part 3 \u2013 Plasticulture area in Germany on a hexagonal grid: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon. The data is stored in file ESR02_13.zip while meta data can be found in ESR02_13.pdf.  Part 4 \u2013 Plasticulture area in Germany on a hexagonal grid - false hotspots unmasked: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon, before identifying the regions of false plastic detection. The data is stored in file ESR02_14.zip while meta data can be found in ESR02_14.pdf.", "keywords": ["Machine learning", "Mulching", "Agriculture", "Greenhouses", "Remote sensing", "Plastic", "Plasticulture"], "contacts": [{"organization": "Fabrizi, Alessandro, Fiener, Peter, Jagdhuber, Thomas, Van Oost, Kristof, Wilken, Florian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055243"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055243", "name": "item", "description": "10.5281/zenodo.14055243", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055243"}, {"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.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.14055244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:20Z", "type": "Dataset", "title": "Plasticulture detection at the country scale by combining multispectral and SAR satellite data", "description": "Open AccessThe data is split into 4 parts:  Part 1 \u2013 Regions for training plasticulture detection: the shapefile contains polygonal areas collected in Western Germany and used to train a random forest algorithm for plasticulture detection. The data is stored in file ESR02_11.zip while meta data can be found in ESR02_11.pdf.  Part 2 \u2013 Google Earth Engine scripts for plasticulture detection: the folder contains 5 Jupyter Notebook files, representing the scripts used to detect plasticulture in Germany, and to export and evaluate the results. The data is stored in file ESR02_12.zip while meta data can be found in ESR02_12.pdf.  Part 3 \u2013 Plasticulture area in Germany on a hexagonal grid: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon. The data is stored in file ESR02_13.zip while meta data can be found in ESR02_13.pdf.  Part 4 \u2013 Plasticulture area in Germany on a hexagonal grid - false hotspots unmasked: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon, before identifying the regions of false plastic detection. The data is stored in file ESR02_14.zip while meta data can be found in ESR02_14.pdf.", "keywords": ["Machine learning", "Mulching", "Agriculture", "Greenhouses", "Remote sensing", "Plastic", "Plasticulture"], "contacts": [{"organization": "Fabrizi, Alessandro, Fiener, Peter, Jagdhuber, Thomas, Van Oost, Kristof, Wilken, Florian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14055244"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14055244", "name": "item", "description": "10.5281/zenodo.14055244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14055244"}, {"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.14056687", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:20Z", "type": "Report", "title": "STEROPES synthesis report", "description": "STEROPES, named after a cyclop from the Ancient Greek mythology, stands for \u201cstimulating novel technologies from earth remote sensing to predict European soil carbon\u201d. The overall context of this project (36 months duration plus 6 months-extension, started on 1st February 2021) stems from the need to spatially estimate and monitor soil properties, and especially soil organic carbon (SOC) content, for decision support and land management, notably regarding carbon balance assessment and the feasibility of carbon credits, and more generally in relation to soil health and ecosystem services assessment.  The main aim of STEROPES was to elaborate maps from satellite time series, such as those\u00a0made available by the European Space Agency through the Copernicus data portal. The STEROPES consortium was composed of 19 public institutes from 14 countries spread over Europe, hence with highly diverse agropedoclimatic contexts.  The first phase of the project consisted of constructing reflectance image spectra of optical satellite series, notably Sentinel-2 (ESA), based on a number of diversified areas for which SOC samples were already available. Over the course of the project, several datasets have been collected focusing on small regions of some hundreds of km\u00b2 or on detailed scales of farms or catchments of some km\u00b2, for which SOC samples were already available with an areal density higher than 1-3 samples/km\u00b2.  The second phase of the project was dedicated to analysing the influence of various factors on SOC prediction performance: soil moisture, texture, green and dry vegetation due to management practices, salinity. Then, for the sites where satellite information may not enable to derive acceptable predictions, other ancillary data such as gamma-ray data layers were considered.  The third phase of the project included field campaigns that were carried out in order to complement or to provide datasets; the processing of the data and the launch of an additional work package dedicated to emerging research gaps.  This final report compiles the overall results of the work packages and their joint analysis in WP6 of\u00a0STEROPES.", "keywords": ["EJP SOIL", "remote sensing", "STEROPES", "satellite", "SOC", "time series"], "contacts": [{"organization": "Vaudour, Emmanuelle, Wetterlind, Johanna, van Egmond, Fenny, Bor\u016fvka, Lubo\u0161, Castaldi, Fabio, Dik, Pim, Farzamian, Mohammad, Fouad, Youssef, Liebisch, Frank, Lopatka, Artur, Michot, Didier, Nino, Pasquale, Saberioon, Mehdi, Simmler, Michael, Vanderhasselt, Adrian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14056687"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14056687", "name": "item", "description": "10.5281/zenodo.14056687", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14056687"}, {"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.14069146", "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.14069146"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14069146", "name": "item", "description": "10.5281/zenodo.14069146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14069146"}, {"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"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=si&offset=5300&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=si&offset=5300&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=si&offset=5250", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=si&offset=5350", "hreflang": "en-US"}], "numberMatched": 12139, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T15:16:02.717325Z"}