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It follows the \u201cSoil-based agroecological policies and measures analysis\u201d (https://doi.org/10.5281/zenodo.14161451), which provided a comprehensive assessment of existing policies and measures dealing with agricultural sustainability while considering agroecological principles in the study regions where the project partners operate (Spain, Italy, Czech Republic, Poland, Lithuania, Latvia and Turkey).", "keywords": ["Soil sciences", "Soil-based agroeological practices", "Political sciences", "Agroecology"], "contacts": [{"organization": "\u00dcn, Akin, Dara Guccione, Giovanni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14164813"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14164813", "name": "item", "description": "10.5281/zenodo.14164813", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14164813"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14168069", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:23Z", "type": "Report", "title": "Framework for on-farm monitoring of the impact of AE systems on soil quality and soil ecosystem services", "description": "The ARTEMIS project aimed to provide a better understanding of how specific agroecological systems affect soil's ability to mitigate and abate the consequences of climate change. The WP5 \u2013 Framework for AE (lighthouse) farm network on soil quality and ecosystem services \u2013 aimed to develop and test, on a network of farms, a framework for on-farm monitoring of the impact of diverse AE systems on soil quality and soil related ecosystem services (ESS).\u00a0\u00a0     The objective of this report (D5.1) is to provide a monitoring plan with a set of indicators and tools to be used for on-farm monitoring of soil quality and soil-related ESS in diverse AE farms. 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Second field trial, 20 samples from top soil 0-10 cm during 2021 and 2022 collected and soil organic carbon measured.\u00a0\u00a0  Purpose and objectives: to analyse the input of plant residue in SOC prediction from remote sensing data under WP4.\u00a0  Format: Data in the format of CSV .\u00a0\u00a0  Data utility: Data is collected based on the experiment where each plot has different amount of plant residual from without plant residual till completely covered with plant residual.", "keywords": ["EJP SOIL", "sampling", "remote sensing", "STEROPES", "SENTINEL2", "soil"], "contacts": [{"organization": "De Boever, Maarten, saberioon, mohammadmehdi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14169022"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14169022", "name": "item", "description": "10.5281/zenodo.14169022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14169022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14169603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:23Z", "type": "Report", "title": "Comprehensive literature review on existing data on the basic soil properties in order to implement sustainable agricultural practices.", "description": "The report provides some insights into the assessments of relations between agroecological practices and soil quality available in literature of seven participating countries (Italy, Poland, Spain, Czech Republic, Latvia, Lithuania and Turkey) in the Into-DIALOGUE project. 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After an explanation in the READ_ME sheet, two equations, 'EQ1' and 'EQ2,' are implemented. EQ1 focuses on PSS point measurements (i.e spectroscopy), while EQ2 integrates Point measurement with on-the-go sensors for the production of Digital Soil Mapping. EQ1 is based on the cost-effectiveness index (E), a method proposed by Li et al. (2021), which enables a comprehensive cost-benefit analysis compared to standard soil analysis by considering factors such as accuracy, time, and cost. In the EQ2 sheet, the cost calculation is based on a simple summation, while accuracy is evaluated by the relative increase in accuracy (RI) as a reduction in RMSE. Simple interpolation methods, such as Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), serve as the baseline from which RI begins.", "keywords": ["Cost benefits analysis", "Soil sciences", "ProbeField", "EJP SOIL", "Laboratory samples analysis", "Proximal Soil Sensing"], "contacts": [{"organization": "Barbetti, Roberto, Lozano Fond\u00f3n, Carlos, Stenberg, Bo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14170112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14170112", "name": "item", "description": "10.5281/zenodo.14170112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14170112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10182/7842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:44Z", "type": "Journal Article", "created": "2018-01-12", "title": "Food and nutritional security require adequate protein as well as energy, delivered from whole-year crop production", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Human food security requires the production of sufficient quantities of both high-quality protein and dietary energy. In a series of case-studies from New Zealand, we show that while production of food ingredients from crops on arable land can meet human dietary energy requirements effectively, requirements for high-quality protein are met more efficiently by animal production from such land. We present a model that can be used to assess dietary energy and quality-corrected protein production from various crop and crop/animal production systems, and demonstrate its utility. We extend our analysis with an accompanying economic analysis of commercially-available, pre-prepared or simply-cooked foods that can be produced from our case-study crop and animal products. We calculate the per-person, per-day cost of both quality-corrected protein and dietary energy as provided in the processed foods. We conclude that mixed dairy/cropping systems provide the greatest quantity of high-quality protein per unit price to the consumer, have the highest food energy production and can support the dietary requirements of the highest number of people, when assessed as all-year-round production systems. Global food and nutritional security will largely be an outcome of national or regional agro-economies addressing their own food needs. We hope that our model will be used for similar analyses of food production systems in other countries, agro-ecological zones and economies.</p></article>", "keywords": ["0301 basic medicine", "food access", "QH301-705.5", "agro-ecology", "7. Clean energy", "630", "03 medical and health sciences", "Journal Article", "forage utilisation", "Biology (General)", "Agricultural Science", "Nutrition", "whole-year production", "2. Zero hunger", "0303 health sciences", "Whole-year production", "9. Industry and infrastructure", "R", "food security", "15. Life on land", "nutrition", "food costs", "ANZSRC::090899 Food Sciences not elsewhere classified", "ANZSRC::070301 Agro-ecosystem Function and Prediction", "Medicine", "Food costs", "Agroecology", "Forage utilisation", "New Zealand"], "contacts": [{"organization": "Coles, Graeme D, Wratten, Stephen D, Porter, John R,", "roles": ["creator"]}]}, "links": [{"href": "https://peerj.com/preprints/1841v1.pdf"}, {"href": "https://peerj.com/preprints/1841.pdf"}, {"href": "https://doi.org/10182/7842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10182/7842", "name": "item", "description": "10182/7842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10182/7842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-03-09T00:00:00Z"}}, {"id": "10.5281/zenodo.14170113", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:23Z", "type": "Other", "title": "PSS_cost_accuracy_calculator", "description": "Open AccessThis worksheet aims to perform a cost/benefit analysis of Proximal Soil Sensing (PSS), relevant to WP4 EJP Soil Probefield Task 4.3. 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This project started on 1st February 2021 and had a duration of 36 months plus 6 months-extension. The overall context of this project is that soil maps for large areas often fail to account for local variation (field) in soil properties, due to their coarse resolutions. However, remote and proximal sensors can provide highly detailed soil information at a local level. Therefore, the main objectives were:  1.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To develop a generic, tested methodological framework for downscaling digital soil maps using sensor data.  2.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To test data from proximal sensors as well as spectral images from UAVs, satellites as well as data fusion as a means to downscale digital soil maps.  3.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 To investigate the use of downscaled soil maps for practical applications.  In this report, we compiled the results from the different Working Packages and related deliverables. In general, we present the developed framework for downscaling soil maps, which was also published as an R package (https://github.com/anbm-dk/soilscaler/tree/main). Additionally, it highlights the main findings for producing high-resolution maps of soil organic carbon, clay, silt, and sand using individual sensors from satellites, UAVs, and proximal sources, as well as sensor data fusion in agricultural fields across Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey. Finally, the report assesses the potential for soil organic carbon sequestration at the field level using downscaled soil maps (soil organic carbon, clay, and silt).", "keywords": ["soil organic carbon", "EJP SOIL", "SensRes", "downscaling", "erosion", "carbon sequestration"], "contacts": [{"organization": "Carvalho Gomes, Lucas, M\u00f8ller, Anders, Koganti, Triven, Higgins, Suzanne, \u017dydelis, Renaldas, van Egmond, Fenny, \u00c7inkaya, \u0130smail, Greve, Mogens,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14171926"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14171926", "name": "item", "description": "10.5281/zenodo.14171926", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14171926"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14184825", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:24Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. ProbeField is a joint project involving 14 partners from 12 countries:\u00a0  Swedish University of Agricultural Sciences (SLU), Aarhus University (AU), Austrian Agency for Health and Food Safety Ltd. (AGES), Agroscope (AGS), University of Natural Resources and Life Sciences Vienna (BOKU), National Research Council of Italy (CNR), Council for Agricultural Research and Economics (CREA), Spanish National Research Council (CSIC), Czech University of Life Sciences Prague (CZU), National Research Institute for Agriculture, Food and Environment (INRAE), Institute of Soil Science and Plant Cultivation - State Research Institute (IUNG-PIB), General Directorate of Agricultural Research and Policies (TAGEM), University of Maribor, Faculty of Agriculture and Life Sciences (UM-FKBV) and Wageningen Environmental Research (WR).", "keywords": ["Proximal soil sensing", "ProbeField", "EJP SOIL", "Soil sciences", "Remote sensing"], "contacts": [{"organization": "Stenberg, Bo, Metzger, Konrad, Liebisch, Frank, Castaldi, Fabio, van Egmond, Fenny, Lozano Fond\u00f3n, Carlos, Ben Dor, Eyal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14184825"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14184825", "name": "item", "description": "10.5281/zenodo.14184825", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14184825"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "10.5281/zenodo.14179949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:24Z", "type": "Dataset", "title": "EOM4SOIL - Physico-chemical characteristics of external organic matters (EOMs) database", "description": "Physico-chemical characteristics of external organic matters (EOMs) database. The database is a non-relationnal database in column format. Established in the EJP Soil EOM4SOIL project, the database considers physico-chemical characteristics from about 120 types of EOMs encompassing urban, industrial and agricultural origins (e.g. urine, sludge, composts, digestates, farmyard manures; from various origins) and about 90 characteristics (major elements, mineral trace elements, emerging contaminants, mineralised C and N). There is an average of about 20 variables collected per type of EOM. The Physico-chemical characteristics EOM database gathered EOM references collected in national databases and surveys from various European countries completed by data published in scientific articles.", "keywords": ["Non-relational databases", "FOS: Agricultural sciences", "Sustainable agriculture", "Agricultural sciences", "organic matter"], "contacts": [{"organization": "Michaud, Aur\u00e9lia, Van Der Smissen, H\u00e9l\u00e8ne, Tampio, Elina, Laakso, Johanna, Levavasseur, Florent, Barcauskaite, Karolina, Lasorella, Valentina, Criscuoli, Irene, Asperen, Paulien, Dehaan, Janjo, Jimenez, Julie, Caradec, Lucille, Houot, Sabine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14179949"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14179949", "name": "item", "description": "10.5281/zenodo.14179949", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14179949"}, {"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.14184826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:24Z", "type": "Report", "title": "The EJP SOIL ProbeField Session of seven presentations at the GPSS workshop in Gent October 2024", "description": "This presentation is a compilation of seven presentations covering a large part of the work and findings of the EJP SOIL project ProbeField - A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries given at a special session during\u00a0The Sixth Global Proximal Soil Sensing Workshop (https://www.gpss-2024.com/)\u00a0 in Gent in October 2024. 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Annexes I, II, III, and IV provide detailed information on the plan's components, dissemination/communication tasks and content types, key performance indicators, exploitable results, and associated protection mechanisms. Regular updates and ongoing adjustments ensure the plan remains dynamic and responsive to project progress.", "keywords": ["FOS: Media and communications", "Information Dissemination", "Media and communications", "exploitation"], "contacts": [{"organization": "Floricica, Iuliana, Caragea, Bianca, Stoica, Ina, Zamfirescu, Elena, Manea, Adelina, Soto-G\u00f3mez, Diego,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224323"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224323", "name": "item", "description": "10.5281/zenodo.14224323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14190971", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:25Z", "type": "Journal Article", "created": "2024-07-25", "title": "Oleaxonchium olearum gen. et sp. nov. (Nematoda, Dorylaimida) associated with an olive grove in the southern Iberian Peninsula, and new insights into the evolutionary relationships within Belondiridae", "description": "<p>A new belondirid, dorylaimid taxon, Oleaxonchium olearumgen. et sp. nov., collected from an olive grove in the Andalusia region of Spain, is characterised, including its morphological description, morphometrics, SEM study, and molecular (18S-, 28S-rDNA) analyses. The new genus displays a unique combination of traits that distinguishes it from its closest genera: a rectangular lip region with sclerotized margins when observed in lateral view and visibly hexagonal in face view under SEM; a comparatively long cheilostom with thickened walls at its anterior part; a short isthmus-like section separating both pharyngeal regions; a mono-opistho-ovarian didelphic female genital system without pars refringens vaginae; and a short and rounded tail. The new species is characterised by its 2.44\uffe2\uff80\uff932.87 mm long body, lip region 7\uffe2\uff80\uff937.5 \uffc2\uffb5m wide, odontostyle 10\uffe2\uff80\uff9310.5 \uffc2\uffb5m long, neck 723\uffe2\uff80\uff93973 \uffc2\uffb5m long, pharyngeal expansion occupying 63\uffe2\uff80\uff9372% of the total neck length, female anterior genital branch 4\uffe2\uff80\uff936% of body length, tripartite posterior uterus 1.9\uffe2\uff80\uff932.6 body diameters long, with a short intermediate section bearing sclerotized elements, vulva (V = 58\uffe2\uff80\uff9361) a transverse slit, caudal region 29\uffe2\uff80\uff9335 \uffc2\uffb5m long (c = 74\uffe2\uff80\uff9389, c\uffe2\uff80\uff99 = 0.9\uffe2\uff80\uff931.1), and male unknown. As derived from an integrative approach combining morphological and molecular data, the new genus is close to Metaxonchium, the polyphyly of Belondiridae is confirmed, and support is provided in favour of the monophyly of Axonchiinae.</p", "keywords": ["0301 basic medicine", "taxonomy", "0303 health sciences", "03 medical and health sciences", "18S-", "28S-rDNA", "QH301-705.5", "morphology", "SEM", "Biology (General)", "phylogeny", "new taxa"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14190971"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Zoosystematics%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14190971", "name": "item", "description": "10.5281/zenodo.14190971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14190971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-25T00:00:00Z"}}, {"id": "10259/9749", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:44Z", "type": "Journal Article", "created": "2024-12-01", "title": "Metal(loid) tolerance, accumulation, and phytoremediation potential of wetland macrophytes for multi-metal(loid)s polluted water.", "description": "<title>Abstract</title>         <p>Natural based solutions, notably constructed/artificial wetland treatment systems, rely heavily on identification and use of macrophytes with the ability to tolerate multiple contaminants and grow for an extended period to reduce contamination. The potential to tolerate and remediate metal(loid) contaminated groundwater from an industrial site located in Flanders (Belgium) was assessed for 10 wetland macrophytes (including <italic>Carex riparia, Cyperus longus, Cyperus rotundus, Iris pseudacorus, Juncus effusus, Lythrum salicaria, Menta aquatica, Phragmites australis, Scirpus holoschoenus,</italic> and <italic>Typha angustifolia</italic>). The experiment was conducted under static conditions, where plants were exposed to polluted acidic (pH~4)water, having high level of metal(loid)s for 15 days. Plant biomass, morphology, and metal uptake by roots and shoots were analysed every 5 days for all species. <italic>T. angustifolia</italic> and <italic>S. holoschoenus </italic>produced ~3 and ~1.1 times more dried biomass than the controls, respectively. For <italic>S. holoschoenus, P. australis,</italic> and <italic>T. angustifolia</italic>, no apparent morphological stress symptoms were observed, and plant heights were similar between control and plants exposed to polluted groundwater. Higher concentrations of all metal(loid)s were detected in the roots indicating a potential for phytostabilization of metal(loid)s below the water column. For <italic>J. effusus</italic> and <italic>T. angustifolia</italic>, Cd, Ni, and Zn accumulation was observed higher in the shoots. <italic>S. holoschoenus</italic>, <italic>P. australis,</italic> and <italic>T. angustifolia</italic> are proposed for restoration and phytostabilization strategies in natural and/or constructed wetland and aquatic ecosystems affected by metal(loid) inputs.</p>", "keywords": ["580", "570", "Constructed wetlands ; Metals/metabolism [MeSH] ; Groundwater ; Phytostabilization ; Wetlands [MeSH] ; Metals", " Heavy/metabolism [MeSH] ; Heavy metals ; Macrophytes ; Water Pollutants", " Chemical/metabolism [MeSH] ; Research Article ; Biodegradation", " Environmental [MeSH] ; Belgium [MeSH]", "Constructed wetlands", "15. Life on land", "Biorremediaci\u00f3n", "6. Clean water", "Macrophytes", "Agua-Contaminaci\u00f3n", "Biodegradation", " Environmental", "Heavy metals", "Water-Pollution", "Belgium", "Metals", "13. Climate action", "Wetlands", "Metals", " Heavy", "Phytostabilization", "Groundwater", "Bioremediation", "Water Pollutants", " Chemical", "Research Article"]}, "links": [{"href": "https://doi.org/10259/9749"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/9749", "name": "item", "description": "10259/9749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/9749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-12T00:00:00Z"}}, {"id": "20.500.11850/637177", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:27:43Z", "type": "Report", "title": "National records of 3000 European bee and hoverfly species: A contribution to pollinator conservation", "description": "Open Access1. Pollinators play a crucial role in ecosystems globally, ensuring the seed production of most flowering plants. They are threatened by global changes and knowledge of their distribution at the national and continental levels is needed to implement efficient conservation actions, but this knowledge is still fragmented and/or difficult to access.  2. As a step forward, we provide an updated list of around 3000 European bee and hoverfly species, reflecting their current distributional status at the national level (in the form of present, absent, regionally extinct, possibly extinct or non-native). This work was attainable by incorporating both published and unpublished data, as well as knowledge from a large set of taxonomists and ecologists in both groups.  3. After providing the first National species lists for bees and hoverflies for many countries, we examine the current distributional patterns of these species and designate the countries with highest levels of species richness. We also show that many species are recorded in a single European country, highlighting the importance of articulating European and national conservation strategies.  4. Finally, we discuss how the data provided here can be combined with future trait and Red List data to implement research that will further advance pollinator conservation.", "keywords": ["centralised occurrence records", "pollination", "expert knowledge", "Diptera", "country records", "Syrphidae", "Anthophila; Apoidea; centralised occurrence records; country records; Diptera; expert knowledge; Hymenoptera; pollination; species checklists; Syrphidae", "Apoidea", "Hymenoptera", "Anthophila", "species checklists"], "contacts": [{"organization": "Reverte, Sara, Mili\u010di\u0107, Marija, A\u010danski, Jelena, Andri\u0107, Andrijana, Aracil, Andrea, Aubert, Matthieu, Balzan, Mario Victor, Bartomeus, Ignasi, Bogusch, Petr, Bosch, Jordi, Budrys, Eduardas, Cant\u00fa-Salazar, Lisette, Castro, S\u00edlvia, Cornalba, Maurizio, Demeter, Imre, Devalez, Jelle, Dorchin, Achik, Dufr\u00eane, Eric, \u0110or\u0111evi\u0107, Aleksandra, Fisler, Lisa, Mu\u0308ller, Andreas, et al.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/20.500.11850/637177"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/637177", "name": "item", "description": "20.500.11850/637177", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/637177"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14224602", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:26Z", "type": "Report", "title": "Systematic overview (map) of current archetypes, drivers and barriers for sustainable business models related to soil health", "description": "This document outlines a soil-health-based Sustainable Business Model (SBM) approach tailored to the European context, adapting traditional SBM dimensions to emphasize ecosystem services, specific land-use practices, and partnerships for delivering value to stakeholders, including society and the environment.", "keywords": ["sustainable business model", "soil health", "Life Science", "Business models", "ecosystem services"], "contacts": [{"organization": "Alerasoul, S.A., Foppe, A., Ashouri, S., Materia, V.C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224602"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224602", "name": "item", "description": "10.5281/zenodo.14224602", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224602"}, {"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.14230855", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:26Z", "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.14230855"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14230855", "name": "item", "description": "10.5281/zenodo.14230855", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14230855"}, {"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": "10.5281/zenodo.14243689", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:27Z", "type": "Report", "title": "A digital twin for arable crops and for grass", "description": "There is an opportunity to use process-based cropping systems models (CSMs) to support tactical farm management decisions, by monitoring the status of the farm, by predicting what will happen in the next few weeks, and by exploring scenarios. In practice, the responses of a CSM will deviate more and more from reality as time progresses because the model is an abstraction of the real system and only approximates the responses of the real system. This limitation may be overcome by using the CSM as a digital twin. A digital twin (DT) is a model of a specific physical object, that is kept synchronized by using real-time observations on that object. In this paper we present the Digital Future Farm (DFF), a digital twin for arable and dairy farming. The DFF comprises access to data sources (e.g. weather, soils, farm management, remote sensing), a suite of models, and utilities for data assimilation and visualization of simulation results. The working of the DFF is demonstrated with examples from a multi-year experiment and from a commercial potato farm. In addition to a CSM, the DFF is also demonstrated to work with a summary model for potato growth. Initial experiences\u00a0indicate that the DFF produces information that is helpful to farmers but it is difficult to evaluate\u00a0the performance of the DFF in quantitative terms because of variability between years, fields,\u00a0and the lack of availability of on-farm data. The most immediate contribution of the DFF is to\u00a0provide farmers with a ranking of their fields according to how urgently they need an\u00a0intervention. Experiences with the DFF have helped to formulate further research questions.", "keywords": ["machine learning", "fertilization", "Life Science", "process-based model", "recursive neural network", "Kalman filter", "data assimilation", "nitrogen", "irrigation"], "contacts": [{"organization": "van Evert, F.K., Boersma, S., van Oort, P.A.J., Maestrini, B., Kopanja, M., Mimic, Gordan, Pronk, A.A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14243689"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14243689", "name": "item", "description": "10.5281/zenodo.14243689", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14243689"}, {"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": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:41Z", "type": "Journal Article", "created": "2019-07-02", "title": "Citizen observatory based soil moisture monitoring \u2013 the GROW example", "description": "GROW Observatory is a project funded under the European Union\u2019s Horizon 2020 research and innovation program. Its aim is to establish a large scale (more than 20,000 participants), resilient and integrated \u2018Citizen Observatory\u2019 (CO) and community for environmental monitoring that is self-sustaining beyond the life of the project. This article describes how the initial framework and tools were developed to evolve, bring together and train such a community; raising interest, engaging participants, and educating to support reliable observations, measurements and documentation, and considerations with a special focus on the reliability of the resulting dataset for scientific purposes. The scientific purposes of GROW observatory are to test the data\u00a0 quality and the spatial representativity of a citizen engagement driven spatial distribution as reliably inputs for soil moisture monitoring and to create timely series of gridded soil moisture products based on citizens\u2019 observations using low cost soil moisture (SM) sensors, and to provide an extensive dataset of in situ soil moisture observations which can serve as a reference to validate satellite-based SM products and support the Copernicus in situ component. This article aims to showcase the initial steps of setting up such a monitoring network that has been reached at the mid-way point of the project\u2019s funded period, focusing mainly on the design and development of the CO monitoring network.", "keywords": ["Planning and Development", "Crowdsourced data", "570", "Geography (General)", "550", "Soil moisture monitoring", "crowdsourced data", "0207 environmental engineering", "/dk/atira/pure/subjectarea/asjc/3300/3305", "02 engineering and technology", "Citizen science", "15. Life on land", "name=General Earth and Planetary Sciences", "name=Geography", "Citizen observatory", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "soil moisture monitoring", "G1-922", "/dk/atira/pure/subjectarea/asjc/1900/1900", "citizen observatory"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "https://doi.org/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "name": "item", "description": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10261/366990", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:52Z", "type": "Journal Article", "created": "2024-02-27", "title": "Characterization of the particle size distribution, mineralogy and Fe mode of occurrence of dust-emitting sediments across the Mojave Desert, California, USA", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Understanding the effect of dust upon climate and ecosystems needs comprehensive analyses of the physiochemical properties of dust-emitting sediments in arid regions. Here, we analyse a diverse set of crusts and aeolian ripples (n=55) from various dust-hotspots within the Mojave Desert, California, USA, with focus on their particle size distribution (PSD), mineralogy, aggregation/cohesion state and iron mode of occurrence characterization. Our results showed differences in fully and minimally dispersed PSDs, with crusts average median diameters (92 and 37 \u00b5m, respectively) compared to aeolian ripples (226 and 213 \u00b5m, respectively). Mineralogical analyses unveiled variations between crusts and ripples, with crusts enriched in phyllosilicates (24 vs 7.8 %), carbonates (6.6 vs 1.1 %), Na-salts (7.3 vs 1.1 %) and zeolites (1.2 and 0.12 %), while ripples enriched in feldspars (48 vs 37 %), quartz (32 vs 16 %), and gypsum (4.7 vs 3.1 %). Bulk Fe content analyses indicate higher concentrations in crusts (3.0\u00b11.3 wt %) compared to ripples (1.9\u00b11.1 wt %), with similar Fe speciation proportions; nano Fe-oxides/readily exchangeable Fe represent ~1.6 %, hematite/goethite ~15 %, magnetite/maghemite ~2.0 % and structural Fe in silicates ~80 % of the total Fe. We identified segregation patterns in PSD and mineralogy differences within the Mojave basins, influenced by sediment transportation dynamics and precipitates due to groundwater table fluctuations. Mojave Desert crusts show similarities with previously sampled crusts in the Moroccan Sahara for PSD and readily exchangeable Fe, yet exhibit differences in mineralogical composition, which could influence the emitted dust particles characteristics.</p></article>", "keywords": ["Take urgent action to combat climate change and its impacts", "550", "Climate", "QC1-999", "Iron", "http://metadata.un.org/sdg/3", "Dust models", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Physicochemical property", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Mojave Desert", "Earth sciences", "Chemistry", "13. Climate action", "Sediment", "http://metadata.un.org/sdg/13", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/9155/2024/acp-24-9155-2024.pdf"}, {"href": "https://doi.org/10261/366990"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366990", "name": "item", "description": "10261/366990", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366990"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-27T00:00:00Z"}}, {"id": "10.5281/zenodo.14285685", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:28Z", "type": "Dataset", "title": "Soil Health Index and Soil Function maps for Latin America and the Caribbean", "description": "Description:This repository contains 90-meter resolution raster maps generated as part of the study titled \u201cSoil Health in Latin America and the Caribbean\u201d. These datasets provide geospatial information on soil health and its five primary functions across the Latin America and Caribbean (LAC) region. The data aim to support research, policy-making, and land management practices by offering insights into soil health conditions and functionality at a continental scale.  Data Included:      Soil Health Index (SHI):\u00a0      LAC_SHI: Comprehensive index integrating physical, chemical, and biological soil attributes to assess soil health across LAC (Size 3.19 Gb).       Soil Functions (f):      LAC_fi: Storage and regulation of nutrient fluxes and availability (Size 2.12 Gb).     LAC_fii: Regulation of water fluxes, storage, and availability (Size 2.59 Gb).     LAC_fiii: Soil organic carbon sequestration and biodiversity support (Size 1.94 Gb).     LAC_fiv: Physical support for plant growth (Size 2.48 Gb).     LAC_fv: Resistance to erosion and degradation (Size 2.42 Gb).      Format:      Raster maps in GeoTIFF format (*.tif).     Spatial resolution: 90 meters.     Coordinate reference system: EPSG:4326 (WGS 84).     Scale factor: 0.01    Use and applications:      Environmental research and modeling.     Policy development for soil conservation and sustainable land management.     Educational purposes in soil science and geospatial studies.    Visualization and other sources:Additionally, the Soil Health Index (SHI) and soil functions (SF) maps can be visualized via the Earth Engine application at https://geocis.users.earthengine.app/view/lac-soil-health and downloaded from https://geocis.users.earthengine.app/view/lac-soil-health-download. For more information, access it on the GeoCiS website, available at https://esalqgeocis.wixsite.com/english/thematic-products.  Acknowledgments:We thank the S\u00e3o Paulo Research Foundation (FAPESP, process 2014/22262-0; 2021/05129-8), the Center for Carbon Research in Tropical Agriculture (CCARBON/USP, process 2021/10573-4) and the Geotechnologies in Soil Science research group (GeoCiS, https://esalqgeocis.wixsite.com/english) for supporting this work.", "keywords": ["Soil sciences", "Machine learning", "Geotechnology", "Remote sensing", "Soil quality", "Environmental Policy"], "contacts": [{"organization": "Poppiel, Ra\u00fal Roberto, Cherubin, Maur\u00edcio Roberto, Novais, Jean Jesus Macedo, Dematte, Jose A. M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14285685"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14285685", "name": "item", "description": "10.5281/zenodo.14285685", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14285685"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14281686", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:28Z", "type": "Dataset", "title": "EPJSOIL SERENA WP3 T3.3 : France climatic and land use change modelling dataset (Saclay)", "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. \u00a0  Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of land use. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided.  Climatic data were obtained from SAFRAN climatic data provided by M\u00e9t\u00e9o-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. All input data are available as part of this dataset.", "keywords": ["Lande use", "SERENA EJP SOIL", "WP3", "T3.3", "STICS", "France", "Model", "scenario"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14281686"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14281686", "name": "item", "description": "10.5281/zenodo.14281686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14281686"}, {"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.14336253", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:29Z", "type": "Dataset", "title": "Hyperspectral and multispectral reflectance of agricultural plastic films", "description": "Open AccessThe dataset contains hyperspectral and multispectral reflectance measurements of various agricultural plastic films on two soil backgrounds, captured using proximal sensing techniques.", "keywords": ["Hyperspectral", "Multispectral", "Agriculture", "Spectral library", "Plastic", "Remote sensing", "Plasticulture"], "contacts": [{"organization": "Fabrizi, Alessandro, Fiener, Peter, Van Oost, Kristof, Wilken, Florian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14336253"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14336253", "name": "item", "description": "10.5281/zenodo.14336253", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14336253"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-09T00:00:00Z"}}, {"id": "10.5281/zenodo.14336252", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:29Z", "type": "Dataset", "title": "Hyperspectral and multispectral reflectance of agricultural plastic films", "description": "Open AccessThe dataset contains hyperspectral and multispectral reflectance measurements of various agricultural plastic films on two soil backgrounds, captured using proximal sensing techniques.", "keywords": ["Hyperspectral", "Multispectral", "Agriculture", "Spectral library", "Plastic", "Remote sensing", "Plasticulture"], "contacts": [{"organization": "Fabrizi, Alessandro, Fiener, Peter, Van Oost, Kristof, Wilken, Florian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14336252"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14336252", "name": "item", "description": "10.5281/zenodo.14336252", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14336252"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-09T00:00:00Z"}}, {"id": "10.5281/zenodo.14391888", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:29Z", "type": "Other", "title": "The effects of peat thickness and water table depth on the CO2 emissions of an agricultural peatland - a process-based modelling approach", "keywords": ["peatland", "process-based modelling", "CO2 emissions"], "contacts": [{"organization": "Kajasilta, Henri", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14391888"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14391888", "name": "item", "description": "10.5281/zenodo.14391888", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14391888"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}, {"id": "10754/685569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:03Z", "type": "Journal Article", "created": "2022-11-03", "title": "Environmental micro\u2010niche filtering shapes bacterial pioneer communities during primary colonization of a Himalayas' glacier forefield", "description": "Abstract<p>The pedogenesis from the mineral substrate released upon glacier melting has been explained with the succession of consortia of pioneer microorganisms, whose structure and functionality are determined by the environmental conditions developing in the moraine. However, the microbiome variability that can be expected in the environmentally heterogeneous niches occurring in a moraine at a given successional stage is poorly investigated. In a 50\uffe2\uff80\uff89m2 area in the forefield of the Lobuche glacier (Himalayas, 5050\uffe2\uff80\uff89m above sea level), we studied six sites of primary colonization presenting different topographical features (orientation, elevation and slope) and harbouring greyish/dark biological soil crusts (BSCs). The spatial vicinity of the sites opposed to their topographical differences, allowed us to examine the effect of environmental conditions independently from the time of deglaciation. The bacterial microbiome diversity and their co\uffe2\uff80\uff90occurrence network, the bacterial metabolisms predicted from 16S rRNA gene high\uffe2\uff80\uff90throughput sequencing, and the microbiome intact polar lipids were investigated in the BSCs and the underlying sediment deep layers (DLs). Different bacterial microbiomes inhabited the BSCs and the DLs, and their composition varied among sites, indicating a niche\uffe2\uff80\uff90specific role of the micro\uffe2\uff80\uff90environmental conditions in the bacterial communities' assembly. In the heterogeneous sediments of glacier moraines, physico\uffe2\uff80\uff90chemical and micro\uffe2\uff80\uff90climatic variations at the site\uffe2\uff80\uff90spatial scale are crucial in shaping the microbiome microvariability and structuring the pioneer bacterial communities during pedogenesis.</p", "keywords": ["0301 basic medicine", "Pedogenesis", "0303 health sciences", "Glacier Foreland Succession", "Bacteria", "Biological soil crust", "15. Life on land", "Primary Colonization", "Soil", "03 medical and health sciences", "13. Climate action", "RNA", " Ribosomal", " 16S", "Glacier Moraines", "Cold Deserts", "Pioneer Bacterial Communities", "Ice Cover", "Soil moisture", "Research Articles", "Soil Microbiology"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/949070/2/Rolli%20et%20al%202022%20Environmental%20micro%e2%80%90niche%20filtering%20shapes%20bacterial%20pioneer%20communities.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=302678/40A25368-9064-4886-B8E6-E7942511FA71.pdf&pub_id=302678"}, {"href": "https://doi.org/10754/685569"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10754/685569", "name": "item", "description": "10754/685569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10754/685569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-18T00:00:00Z"}}, {"id": "10.5281/zenodo.14560239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:32Z", "type": "Dataset", "title": "Global maps of top- and subsoil organic carbon turnover times", "description": "This repository contains the dataset of the global maps of top- and subsoil organic carbon turnover times.  More details can refer to the paper:    Zhang, L., Yang, L., Crowther, T.W., Zohner, C.M., Doetterl, S., Heuvelink, G.B.M., Wadoux, A.M.J.-C., Zhu, A.-X., Pu, Y., Shen, F., Ma, H., Zou, Y., Zhou, C., 2025. Mapping global distributions, environmental controls, and uncertainties of apparent topsoil and subsoil organic carbon turnover times. Earth System Science Data 17, 2605\u20132623.  DOI:\u00a0https://doi.org/10.5194/essd-17-2605-2025  \u00a0   The code used for the analyses in this study is available at:\u00a0https://github.com/leizhang-geo/global_soil_carbon_turnover_time.git  For questions and more details of our study please contact the author: Lei Zhang (\u5f20\u78ca)  LZ's Homepage: https://leizhang-geo.github.io", "keywords": ["carbon turnover time", "depth-dependent", "global carbon cycle", "soil carbon", "carbon sequestration", "edaphic-climate interactions"], "contacts": [{"organization": "Zhang, Lei", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14560239"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14560239", "name": "item", "description": "10.5281/zenodo.14560239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14560239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "104156e0-f293-11e5-aa97-0002a5d5c51b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:57Z", "type": "Dataset", "language": "nl", "title": "Ground cover map (BBK), 1m resolution, recording 2012", "description": "Geographical grid dataset that shows the soil cover in Flanders, condition 2012.These maps at resolution 1m have as target audience the general user who wants to consult a map with soil cover of Flanders as a basis for various analyses with regard to soil cover (e.g. use of space, ...) or land use.", "formats": [{"name": "GEOTIFF"}], "keywords": ["akker", "be", "bodem", "bodemgebruiksbestand", "boomgaard", "bos", "gebouw", "landbgebrp", "loofbos", "loofhout", "naaldboom", "naaldbos", "serrre", "strand", "vegetatie", "water", "weiland"], "contacts": [{"organization": "Helpdesk Digitaal Vlaanderen", "roles": ["creator"]}, {"organization": "https://org.belgif.be/id/CbeEstablishmentUnit/2256180804", "roles": ["publisher"]}]}, "links": [{"href": "https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/b15fec52-6f04-4758-bef7-1b9063629aec"}, {"href": "https://www.vlaanderen.be/DataCatalogRecord/b15fec52-6f04-4758-bef7-1b9063629aec"}, {"href": "http://data.europa.eu/88u/dataset/104156e0-f293-11e5-aa97-0002a5d5c51b"}, {"rel": "self", "type": "application/geo+json", "title": "104156e0-f293-11e5-aa97-0002a5d5c51b", "name": "item", "description": "104156e0-f293-11e5-aa97-0002a5d5c51b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/104156e0-f293-11e5-aa97-0002a5d5c51b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.5281/zenodo.14626839", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:33Z", "type": "Dataset", "title": "Data set of soil microbial components in response to extreme spring events at variable temperatures", "description": "The soil microbial response to prolonged soil drought (20% field capacity FC), wetness (above FC) and moderate drought (common at 50% FC) was simulated in pots at two spring temperatures - 2\u00b0C and +2.5\u00b0C colder and warmer, respectively, compared to the average in the central-eastern Po Valley, Italy (decade 2014-2024).\u00a0   Two soils (a ploughed soil and an adjacent renatured soil) were subjected to two 60-day cycles (cold and warm spring) at three levels of soil water content. The climate simulation started after the wheat seedlings had reached the two-leaf stage in all pots. Soil samples were taken from the wheat rhizome at the end of each experiment.  The response of microbial biomass was evaluated in terms of double-stranded DNA (dsDNA), total bacteria quantified as 16S gene copy number using Real Time PCR and total fungi quantified as 18S gene copy number using Digital PCR.   Three major bacterial groups, Pseudomonas, Actinomycetes and Bacillus, were quantified by real-time PCR using specific primers of the 16S region (F968/Ps-r; F243/518r; BacF/518).   Twenty-two enzyme activities were also quantified in soil samples. The data set contains a total of twenty-eight variables.", "keywords": ["climate change", "microbial biomass", "soil bacteria", "Pseudomonas", "actinomycetes", "estreme events", "soil fungi", "microrganisms", "Bacillus", "metabolic activity", "soil"], "contacts": [{"organization": "Manici, Luisa M.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14626839"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14626839", "name": "item", "description": "10.5281/zenodo.14626839", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14626839"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2026-01-10T00:00:00Z"}}, {"id": "10.5281/zenodo.14686034", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:33Z", "type": "Dataset", "title": "Response of the major soil fungal phyla (18S DNA copy numbers) to prolonged drought and soil wetness variable temperatures. Simulation in Phytotron", "description": "This data set belongs to a study on the soil microbial response to altered temperature and moisture conditions, simulating scenarios relevant to the central-eastern Po Valley, Italy.  Experimental Design:    Temperature: Two spring temperatures were simulated: +2\u00b0C and -2\u00b0C relative to the average.  Moisture: Prolonged drought (20% of field capacity-FC), prolonged wet (above FC), and moderate drought (50% FC) were tested.  Soil: Loam-silty soil from a ploughed and an unploughed field was used.  Microbes: Total fungi and the two main fungal phyla occurring in top soil (Ascomycota and Basidiomycota) were quantified, respectively, with general and specific primers of the18S ribosomal RNA region using digital PCR. Total \u00a0bacteria were quantified with general primers of the 16S ribosomal RNA region using Real-Time PCR.\u00a0   Procedure:    Wheat seedlings were grown in pots for 15 days at 22\u00b0C and 50% FC.  Two 60-day experimental periods followed, with the designated temperature and moisture conditions.  Soil samples were collected from the rhizosphere of wheat plants at the end of each 60-day cycle.", "keywords": ["microbial biomass", "ascomycetes", "Climate Change", "basidiomycetes", "Mitosporic Fungi", "Soil use", "Soil Microbiology"], "contacts": [{"organization": "Manici, Luisa Maria, Caputo, Francesco,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14686034"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14686034", "name": "item", "description": "10.5281/zenodo.14686034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14686034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2026-01-01T00:00:00Z"}}, {"id": "20.500.11850/108588", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:41Z", "type": "Journal Article", "created": "2015-12-22", "title": "Making the Most of Our Land: Managing Soil Functions from Local to Continental Scale", "description": "Open AccessThe challenges of achieving both food security and environmental sustainability have resulted in a confluence of demands on land within the European Union (EU): we expect our land to provide food, fiber and fuel, to purify water, to sequester carbon, and provide a home to biodiversity as well as external nutrients in the form of waste from humans and intensive livestock enterprises. All soils can perform all of these five functions, but some soils are better at supplying selective functions. Functional Land Management is a framework for policy-making aimed at meeting these demands by incentivizing land use and soil management practices that selectively augment specific soil functions, where required. Here, we explore how the demands for contrasting soil functions, as framed by EU policies, may apply to very different spatial scales, from local to continental scales. At the same time, using Ireland as a national case study, we show that the supply of each soil function is largely determined by local soil and land use conditions, with large variations at both local and regional scales. These discrepancies between the scales at which the demands and supply of soil functions are manifested, have implications for soil and land management: while some soil functions must be managed at local (e.g., farm or field) scale, others may be offset between regions with a view to solely meeting national or continental demands. In order to facilitate the optimization of the delivery of soil functions at national level, to meet the demands that are framed at continental scale, we identify and categorize 14 policy and market instruments that are available in the EU. The results from this inventory imply that there may be no need for the introduction of new specific instruments to aid the governance of Functional Land Management. We conclude that there may be more merit in adapting existing governance instruments by facilitating differentiation between soils and landscapes.", "keywords": ["550", "[SDV]Life Sciences [q-bio]", "Soil functions", "intensification culturale", "01 natural sciences", "12. Responsible consumption", "sciences du sol", "scale", "11. Sustainability", "Functional Land Management", "GE1-350", "0105 earth and related environmental sciences", "2. Zero hunger", "Functional Land Management;ecosystem services;policy;soil functions;sustainable intensification", "sustainable intensification", "Sustainable intensification", "04 agricultural and veterinary sciences", "Functional Land Management; ecosystem services; policy; soil functions; sustainable intensification", "durabilit\u00e9 du sol", "soil functions", "15. Life on land", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "13. Climate action", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "ecosystem services", "policy"]}, "links": [{"href": "https://doi.org/20.500.11850/108588"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/108588", "name": "item", "description": "20.500.11850/108588", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/108588"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-12-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14686035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:33Z", "type": "Dataset", "title": "Response of the major soil fungal phyla (18S DNA copy numbers) to prolonged drought and soil wetness variable temperatures. Simulation in Phytotron", "description": "This data set belongs to a study on the soil microbial response to altered temperature and moisture conditions, simulating scenarios relevant to the central-eastern Po Valley, Italy.  Experimental Design:    Temperature: Two spring temperatures were simulated: +2\u00b0C and -2\u00b0C relative to the average.  Moisture: Prolonged drought (20% of field capacity-FC), prolonged wet (above FC), and moderate drought (50% FC) were tested.  Soil: Loam-silty soil from a ploughed and an unploughed field was used.  Microbes: Total fungi and the two main fungal phyla occurring in top soil (Ascomycota and Basidiomycota) were quantified, respectively, with general and specific primers of the18S ribosomal RNA region using digital PCR. Total \u00a0bacteria were quantified with general primers of the 16S ribosomal RNA region using Real-Time PCR.\u00a0   Procedure:    Wheat seedlings were grown in pots for 15 days at 22\u00b0C and 50% FC.  Two 60-day experimental periods followed, with the designated temperature and moisture conditions.  Soil samples were collected from the rhizosphere of wheat plants at the end of each 60-day cycle.", "keywords": ["microbial biomass", "ascomycetes", "Climate Change", "basidiomycetes", "Mitosporic Fungi", "Soil use", "Soil Microbiology"], "contacts": [{"organization": "Manici, Luisa Maria, Caputo, Francesco,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14686035"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14686035", "name": "item", "description": "10.5281/zenodo.14686035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14686035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2026-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14731705", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:34Z", "type": "Report", "title": "Agricultura estrat\u00e8gica a la conca de la rambla de Pu\u00e7a", "description": "The socio-economic dynamics experienced by the municipality of Petrer, or in many municipalities that have undergone rapid industrialisation, while at the same time their agricultural space has been intensively abandoned during the 20th century, means that the fields that are still being cultivated in its territory are classified as \u2018Strategic\u2019. If innovation leads us towards robotised agriculture, precision agriculture, smart-agro or intelligent agriculture, etc., the majority of landowners in these towns do not contemplate incorporating the innovations associated with these terms, mainly because of their economic cost. However, this does not mean that the agriculture practised in these territories is no longer efficient. In this text, we will go deeper into the functions and ecosystem services that these agricultural areas are providing, and which confer the concept of Strategic Agriculture to the modality of work carried out by their farmers.", "keywords": ["Strategic Agriculture", "Functions / Ecosystem Services provided by Agriculture", "Agricultural Abandonment Risks", "Efficient Agriculture", "Agroecology"], "contacts": [{"organization": "Asins-Velis, Sabina, Molina Donate, Mar\u00eda Jos\u00e9, Do\u00f1ate Maset, Emilio, L\u00f3pez Gurillo, Beatriz, Renovell, Javier,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14731705"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14731705", "name": "item", "description": "10.5281/zenodo.14731705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14731705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-24T00:00:00Z"}}, {"id": "10.5281/zenodo.14742044", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:34Z", "type": "Report", "title": "Challenges, strengths and weaknesses of different baseline options for monitoring soil carbon removals \u2013 insights from the MARVIC project", "description": "This abstract was accepted for an oral presentation at the Centennial Celebration and Congress of the International Union of Soil Sciences on May 19-21 2024 in Florence, Italy, and was included in the abstract book.", "keywords": ["Carbon removals", "soil monitoring", "carbon farming", "baseline"], "contacts": [{"organization": "Ruysschaert, Greet, Lorand, Lorette, Xu, Hui, Lanckriet, Edouard,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14742044"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14742044", "name": "item", "description": "10.5281/zenodo.14742044", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14742044"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-21T00:00:00Z"}}, {"id": "10.5281/zenodo.14790778", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:35Z", "type": "Journal Article", "created": "2019-04-01", "title": "Coupled carbon and nitrogen losses in response to seven years of chronic warming in subarctic soils", "description": "Increasing temperatures may alter the stoichiometric demands of soil microbes and impair their capacity to stabilize carbon (C) and retain nitrogen (N), with critical consequences for the soil C and N storage at high latitude soils. Geothermally active areas in Iceland provided wide, continuous and stable gradients of\u00a0soil temperatures\u00a0to test this hypothesis. In order to characterize the stoichiometric demands of microbes from these subarctic soils, we incubated soils from ambient temperatures after the factorial addition of C, N and P substrates separately and in combination. In a second experiment, soils that had been exposed to different\u00a0in situ\u00a0warming intensities (+0, +0.5, +1.8, +3.4, +8.7, +15.9\u00a0\u00b0C above ambient) for seven years were incubated after the combined addition of C, N and P to evaluate the capacity of soil microbes to store and immobilize C and N at the different warming scenarios. The seven years of chronic soil warming triggered large and proportional soil C and N losses (4.1\u00a0\u00b1\u00a00.5% \u00b0C\u22121\u00a0of the stocks in unwarmed soils) from the upper 10\u202fcm of soil, with a predominant depletion of the physically accessible organic substrates that were weakly sorbed in\u00a0soil minerals\u00a0up to 8.7\u202f\u00b0C warming. Soil microbes met the increasing respiratory demands under conditions of low C accessibility at the expenses of a reduction of the standing biomass in warmer soils. This together with the strict microbial C:N stoichiometric demands also constrained their capacity of N retention, and increased the vulnerability of soil to N losses. Our findings suggest a strong control of\u00a0microbial physiology and C:N stoichiometric needs on the retention of soil N and on the resilience of soil C stocks from high-latitudes to warming, particularly during periods of vegetation dormancy and low C inputs.", "keywords": ["0301 basic medicine", "Microbial carbon and nutrients limitation", "Microbial biomass", "TERM", "03 medical and health sciences", "Temperature increase", "FOREST SOIL", "Substrate induced respiration", "ORGANIC-CARBON", "SDG 13 - Climate Action", "TEMPERATURE SENSITIVITY", "CYCLE", "106026 Ecosystem research", "METAANALYSIS", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "Nitrogen loss", "CLIMATE-CHANGE", "AVAILABILITY", "15. Life on land", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Nitrogen immobilization", "FEEDBACKS", "106022 Microbiology", "PLANT BIOMASS"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14790778"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14790778", "name": "item", "description": "10.5281/zenodo.14790778", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14790778"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14772461", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:35Z", "type": "Report", "title": "Validation of the maps resulting from the application of the Cookbooks elaborated by WP3, and of EU products elaborated by WP5", "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.  This report is part of the EJP SOIL SERENA project. It presents the way some stakeholders have been involved in the project to validate mapping products of soil-based ecosystem services and soil threats, at both the national and EU scales.  At national scale, the maps have been produced by some harmonised cookbooks. The cookbooks are first presented and their concern: as far as soil threats are concerned, and as far as soil-based ecosystem services are concerned. A cookbook for an evaluation of bundles is also presented. The list of countries which have evaluated the different products is then precised. The results of the evaluation by stakeholders are commented all together, without any relation to a specific country. They demonstrate that the results are more likely understood by scientists than by policy makers or farmers. For the latter, the scale of the maps are not relevant with their own interest. The maps of erosion, SOC loss and soil sealing seem to be more easily understood by the stakeholder that the GHG regulation, and the bundles, with which stakeholders are not familiar.   At the EU scale, the evaluation has been conducted during a webinar organised by EJP-Soil WP8 (Science to Policy), and only the bundles of either soil threats or soil-based ecosystem services have been evaluated. The stakeholders were usually interested in the approach, acknowledged the results, but the latter sometimes appeared far from the actions they could develop to protect soils.", "keywords": ["EJP SOIL SERENA", "Stakeholder Participation", "Grant  n 86269", "soil modelling", "Grant n 86269", "stakeholders", "soil mapping"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14772461"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14772461", "name": "item", "description": "10.5281/zenodo.14772461", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14772461"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-30T00:00:00Z"}}, {"id": "10.5281/zenodo.14825718", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:36Z", "type": "Dataset", "title": "Raw data for the manuscript: Conventional and biodegradable agricultural microplastics affecting soil properties and microbial functions across a European pedoclimatic gradient", "description": "Clay, Silt, Fine sand, Coarse sand, dry matter, bulk density, pH, electric conductivity, Water extractable organic carbon, Water extractable total nitrogen, Water extractable organic nitrogen,\u00a0Ammonium, Nitrate, Phosphate, Soil organic carbon, Soil total nitrogen, Potential ammonium oxidation, Potential ammonification, Basal respiration, Substrate-induced respiration, Remaining mass of green and black tea litter, Ergosterol concentration, Soil aggregation, Bact and fungi Chao, Bact and fungi Shannon, Bact and fungi InvSimpson, CH4, CO2, N2O", "keywords": ["Microbial community composition", "Microbial activity", "Greenhouse gases", "Teabag index", "Agricultural plastics", "eDNA", "Field experiment"], "contacts": [{"organization": "Smidova, Klara, Hofman, Jakub, Velmala, Sannakajsa, Soinne, Helena, Kim, Shin Woong, Tirroniemi, Jyri, Selonen, Salla,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14825718"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14825718", "name": "item", "description": "10.5281/zenodo.14825718", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14825718"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-06T00:00:00Z"}}, {"id": "10.5281/zenodo.14858851", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:36Z", "type": "Other", "title": "Examen des syst\u00e8mes de suivi des sols existants pour ouvrir la voie \u00e0 l'Observatoire Europ\u00e9en des Sols", "description": "Cette \u00e9tude aborde les principales questions qui se posent lors de l'\u00e9laboration d'un programme de surveillance des sols et souligne les moyens possibles d'harmoniser les programmes nationaux avec l'Observatoire europ\u00e9en des sols.", "keywords": ["observatoire des sols", "Europe", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"], "contacts": [{"organization": "Bispo, Antonio, Fantappi\u00e8, Maria, van Egmond, Fenny, Smreczak, Bozena, Bakacsi, Zsofia, Hessel, Rudi, Wetterlind, Johanna, Siebelec, Grzegorz, Jones, Arwyn, Delahaie, Amicie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14858851"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14858851", "name": "item", "description": "10.5281/zenodo.14858851", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14858851"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14917034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:39Z", "type": "Dataset", "title": "Peatland Decomposition Database (1.1.0)", "description": "1 Introduction  The Peatland Decomposition Database (PDD) stores data from published litterbag experiments related to peatlands. Currently, the database focuses on northern peatlands and Sphagnum litter and peat, but it also contains data from some vascular plant litterbag experiments. Currently, the database contains entries from 34 studies, 2,160 litterbag experiments, and 7,297 individual samples with 117,841 measurements for various attributes (e.g.\u00a0relative mass remaining, N content, holocellulose content, mesh size). The aim is to provide a harmonized data source that can be useful to re-analyse existing data and to plan future litterbag experiments.  The Peatland Productivity and Decomposition Parameter Database (PPDPD) (Bona et al. 2018) is similar to the Peatland Decomposition Database (PDD) in that both contain data from peatland litterbag experiments. The differences are that both databases partly contain different data, that PPDPD additionally contains information on vegetation productivity, which PDD does not, and that PDD provides more information and metadata on litterbag experiments, and also measurement errors.     2 Updates  Compared to version 1.0.0, this version has a new structure for table experimental_design_format, contains additional metadata on the experimental design (these were omitted in version 1.0.0), and contains the scripts that were used to import the data into the database.     3 Methods    3.1 Data collection  Data for the database was collected from published litterbag studies, by extracting published data from figures, tables, or other data sources, and by contacting the authors of the studies to obtain raw data. All data processing was done with R (R version 4.2.0 (2022-04-22)) (R Core Team 2022).  Studies were identified via a Scopus search with search string (TITLE-ABS-KEY ( peat* AND ( 'litter bag' OR 'decomposition rate' OR 'decay rate' OR 'mass loss')) AND NOT ('tropic*')) (2022-12-17). These studies were further screened to exclude those which do not contain litterbag data or which recycle data from other studies that have already been considered. Additional studies with litterbag experiments in northern peatlands we were aware of, but which were not identified in the literature search were added to the list of publications. For studies not older than 10 years, authors were contacted to obtain raw data, however this was successful only in few cases. To date, the database focuses on Sphagnum litterbag experiments and not from all studies that were identified by the literature search data have been included yet in the database.  Data from figures were extracted using the package \u2018metaDigitise\u2019 (1.0.1) (Pick, Nakagawa, and Noble 2018). Data from tables were extracted manually.  Data from the following studies are currently included: Farrish and Grigal (1985), Bartsch and Moore (1985), Farrish and Grigal (1988), Vitt (1990), Hogg, Lieffers, and Wein (1992), Sanger, Billett, and Cresser (1994), Hiroki and Watanabe (1996), Szumigalski and Bayley (1996), Prevost, Belleau, and Plamondon (1997), Arp, Cooper, and Stednick (1999), Robbert A. Scheffer and Aerts (2000), R. A. Scheffer, Van Logtestijn, and Verhoeven (2001), Limpens and Berendse (2003), Waddington, Rochefort, and Campeau (2003), Asada, Warner, and Banner (2004), Thormann, Bayley, and Currah (2001), Trinder, Johnson, and Artz (2008), Breeuwer et al. (2008), Trinder, Johnson, and Artz (2009), Bragazza and Iacumin (2009), Hoorens, Stroetenga, and Aerts (2010), Strakov\u00e1 et al. (2010), Strakov\u00e1 et al. (2012), Orwin and Ostle (2012), Lieffers (1988), Manninen et al. (2016), Johnson and Damman (1991), Bengtsson, Rydin, and H\u00e1jek (2018a), Bengtsson, Rydin, and H\u00e1jek (2018b), Asada and Warner (2005), Bengtsson, Granath, and Rydin (2017), Bengtsson, Granath, and Rydin (2016), Hagemann and Moroni (2015), Hagemann and Moroni (2016), B. Piatkowski et al. (2021), B. T. Piatkowski et al. (2021), M\u00e4kil\u00e4 et al. (2018), Golovatskaya and Nikonova (2017), Golovatskaya and Nikonova (2017).      4 Database records  The database is a \u2018MariaDB\u2019 database and the database schema was designed to store data and metadata following the Ecological Metadata Language (EML) (Jones et al. 2019). Descriptions of the tables are shown in Tab. 1.  The database contains general metadata relevant for litterbag experiments (e.g., geographical, temporal, and taxonomic coverage, mesh sizes, experimental design). However, it does not contain a detailed description of sample handling, sample preprocessing methods, site descriptions, because there currently are no discipline-specific metadata and reporting standards. Table 1: Description of the individual tables in the database.     Name Description     attributes Defines the attributes of the database and the values in column attribute_name in table data.   citations Stores bibtex entries for references and data sources.   citations_to_datasets Links entries in table citations with entries in table datasets.   custom_units Stores custom units.   data Stores measured values for samples, for example remaining masses.   datasets Lists the individual datasets.   experimental_design_format Stores information on the experimental design of litterbag experiments.   measurement_scales, measurement_scales_date_time, measurement_scales_interval, measurement_scales_nominal, measurement_scales_ordinal, measurement_scales_ratio Defines data value types.   missing_value_codes Defines how missing values are encoded.   samples Stores information on individual samples.   samples_to_samples Links samples to other samples, for example litter samples collected in the field to litter samples collected during the incubation of the litterbags.   units, unit_types Stores information on measurement units.        5 Attributes Table 2: Definition of attributes in the Peatland Decomposition Database and entries in the column attribute_name in table data.     Name Definition Example value Unit Measurement scale Number type Minimum value Maximum value String format     4_hydroxyacetophenone_mass_absolute A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxyacetophenone_mass_relative_mass A numeric value representing the content of 4-hydroxyacetophenone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzaldehyde_mass_absolute A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzaldehyde_mass_relative_mass A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   4_hydroxybenzoic_acid_mass_absolute A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   4_hydroxybenzoic_acid_mass_relative_mass A numeric value representing the content of 4-hydroxybenzoic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   abbreviation In table custom_units: A string representing an abbreviation for the custom unit. gC NA nominal NA NA NA NA   acetone_extractives_mass_absolute A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetone_extractives_mass_relative_mass A numeric value representing the content of acetone extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetosyringone_mass_absolute A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetosyringone_mass_relative_mass A numeric value representing the content of acetosyringone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   acetovanillone_mass_absolute A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   acetovanillone_mass_relative_mass A numeric value representing the content of acetovanillone, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   arabinose_mass_absolute A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   arabinose_mass_relative_mass A numeric value representing the content of arabinose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ash_mass_absolute A numeric value representing the content of ash (after burning at 550\u00b0C). 4 g ratio real 0 Inf NA   ash_mass_relative_mass A numeric value representing the content of ash (after burning at 550\u00b0C). 0.05 g/g ratio real 0 Inf NA   attribute_definition A free text field with a textual description of the meaning of attributes in the dpeatdecomposition database. NA NA nominal NA NA NA NA   attribute_name A string describing the names of the attributes in all tables of the dpeatdecomposition database. attribute_name NA nominal NA NA NA NA   bibtex A string representing the bibtex code used for a literature reference throughout the dpeatdecomposition database. Galka.2021 NA nominal NA NA NA NA   bounds_maximum A numeric value representing the minimum possible value for a numeric attribute. 0 NA interval real Inf Inf NA   bounds_minimum A numeric value representing the maximum possible value for a numeric attribute. INF NA interval real Inf Inf NA   bulk_density A numeric value representing the bulk density of the sample [g cm-3]. 0,2 g/cm^3 ratio real 0 Inf NA   C_absolute The absolute mass of C in the sample. 1 g ratio real 0 Inf NA   C_relative_mass The absolute mass of C in the sample. 1 g/g ratio real 0 Inf NA   C_to_N A numeric value representing the C to N ratio of the sample. 35 g/g ratio real 0 Inf NA   C_to_P A numeric value representing the C to P ratio of the sample. 35 g/g ratio real 0 Inf NA   Ca_absolute The absolute mass of Ca in the sample. 1 g ratio real 0 Inf NA   Ca_relative_mass The absolute mass of Ca in the sample. 1 g/g ratio real 0 Inf NA   cation_exchange_capacity_absolute A numeric value representing the cation exchange capacity. 10 mol ratio real 0 Inf NA   cation_exchange_capacity_relative_mass A numeric value representing the cation exchange capacity relative to sample mass. 200 mol/g ratio real 0 Inf NA   cellulose_mass_absolute A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   cellulose_mass_relative_mass A numeric value representing the content of cellulose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   comments_measurement A string representing comments on a measurement. NA NA nominal NA NA NA NA   comments_samples A free text field where you can enter all information related to the sample that is not covered by the remaining fields. For example you could provide information on potential contamination sources, issues with specific parameters, additional information to the sampling site, e.g.\u00a0present vegetation, past vegetation, specific conditions during sampling, \u2026 . \u2026 NA nominal NA NA NA NA   description A free text field. In table \u201ccustom_units\u201d: A description of a custom unit. NA NA nominal NA NA NA NA   dichloromethane_extractives_mass_absolute A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   dichloromethane_extractives_mass_relative_mass A numeric value representing the content of dichlromethane extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   dimension A string representing the dimension of the unit. L NA nominal NA NA NA NA   error A numeric value representing the error of the measured value. The unit of the error is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   error_type A character representing the type of the error of a measured value (e.g., sd, 95% interval, etc.). sd NA nominal NA NA NA NA   ethanol_extractives_mass_absolute A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ethanol_extractives_mass_relative_mass A numeric value representing the content of ethanol extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   experimental_design A character of the format \u2018x_y_z_\u2026\u2019, where x, y, z, \u2026, are integers differentiating hierarchical groups of an experimental design. These groups are explained in table experimental_design_format \u2026 NA nominal NA NA NA NA   experimental_design_description A string describing the variables in the csv file identified by column file in table experimental_design_format for each dataset. \u2026 NA nominal NA NA NA NA   explanation In table missing_value_codes: A string explaining what the corresponding missing value code means. \u2026 NA nominal NA NA NA NA   Fe_absolute The absolute mass of Fe in the sample. 1 g ratio real 0 Inf NA   Fe_relative_mass The absolute mass of Fe in the sample. 1 g/g ratio real 0 Inf NA   ferulic_acid_mass_absolute A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   ferulic_acid_mass_relative_mass A numeric value representing the content of ferulic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   file A string representing a path to a file. For table experimental_design_format: Path to a csv file providing details on the experimental design and manipulations. NA NA nominal NA NA NA NA   format_string A string defining the format of a nominal variable. YYYY-MM-DD NA nominal NA NA NA NA   galactose_mass_absolute A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galactose_mass_relative_mass A numeric value representing the content of galactose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   galacturonic_acid_mass_absolute A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   galacturonic_acid_mass_relative_mass A numeric value representing the content of galacturonic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucose_mass_absolute A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucose_mass_relative_mass A numeric value representing the content of glucose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   glucuronic_acid_mass_absolute A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   glucuronic_acid_mass_relative_mass A numeric value representing the content of glucuronic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   ground_slope The slope of the sample (land surface) as fraction of the vertical distance covered and the horizontal distance. 0.2 cm/cm ratio real 0 Inf NA   holocellulose_mass_absolute A numeric value representing the absolute holocellulose mass in the sample. 0.45 g ratio real 0 Inf NA   holocellulose_mass_relative_mass A numeric value representing the holocellulose content of the sample [g/g]. 0.45 g/g ratio real 0 1 NA   id_citation An integer value representing an id for each entry in the table \u201ccitations\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_dataset A numeric id for the dataset (starting with 1 and increasing by 1; for one data contribution, this should be 1 for all samples and the appropriate id is assigned when the data are merged into the database). 1 NA interval natural 1 Inf NA   id_measurement A numeric id for measurements (starting with 1 and increasing by 1). This means that each measurement gets its own rows and measurements for different attributes are considered independent, i.e.\u00a0multiple measurement ids for the same sample just count replicate measurements for any attribute. For attributes with less measurements than for a different attribute, just fill measurements starting from smaller id_measurement and leave the cells in the remaining rows empty. 1 NA interval natural 1 Inf NA   id_measurement_denominator An integer value representing the identifier for the measurement which is used as denominator in computing a relative quantity (e.g.\u00a0the absolute mass of the initial sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_numerator An integer value representing the identifier for the measurement which is used as numerator in computing a relative quantity (e.g.\u00a0the absolute mass of the sample when computing the mass fraction relative to the initial sample). 1 NA interval natural 1 Inf NA   id_measurement_scale An integer value representing an id for each entry in the table \u201cmeasurement_scales\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_missing_value_code An integer value representing an id for each entry in the table \u201cmissing_value_codes\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   id_sample A numeric id for the sample (starting with 1 and increasing by 1). 1 NA interval natural 1 Inf NA   id_sample_child An integer representing an identifier for the child (resulting) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_sample_incubation_start An integer representing an identifier for the sample which is the sample at the start of the incubation (incubation_duration == 0). 1 NA interval natural 1 Inf NA   id_sample_origin An integer representing an identifier for the sample which is the original sample in a line of transitions of a sample (modifications of a sample). 1 NA interval natural 1 Inf NA   id_sample_parent An integer representing an identifier for the parent (initial) sample of the transition (some change to a sample). 1 NA interval natural 1 Inf NA   id_unit An integer value representing an id for each entry in the table \u201cunits\u201c in the dpeatdecomposition database. 1 NA interval natural 1 Inf NA   incubation_duration A numeric value representing the number of days over which a sample was incubated. 45 d ratio real 0 Inf NA   incubation_environment A character defining the environment in which a litterbag sample was incubated (e.g.\u00a0\u2018peat\u2019, \u2018container\u2019, \u2026). peat NA nominal NA NA NA NA   is_incubated A logical value indicating whether a sample was collected during the decomposition incubation of a litterbag experiment or not. TRUE NA nominal NA NA NA NA   K_absolute The absolute mass of K in the sample. 1 g ratio real 0 Inf NA   K_relative_mass The absolute mass of K in the sample. 1 g/g ratio real 0 Inf NA   Klason_lignin_mass_absolute A numeric value representing the absolute Klason lignin mass in the sample. 0.26 g ratio real 0 Inf NA   Klason_lignin_mass_relative_mass A numeric value representing the Klason lignin content of the sample [g/g]. 0.26 g/g ratio real 0 1 NA   mannose_mass_absolute A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   mannose_mass_relative_mass A numeric value representing the content of mannose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   mass_absolute The mass of the sample. 1200 mg ratio real 0 Inf NA   mass_relative_mass The mass of the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.87 g/g ratio real 0 Inf NA   measurement_scale A string representing the measurement scale for a value. nominal NA nominal NA NA NA NA   mesh_size_absolute The width of the mesh the litterbags are made of. 0.2 um ratio real 0 Inf NA   Mg_absolute The absolute mass of Mg in the sample. 1 g ratio real 0 Inf NA   Mg_relative_mass The absolute mass of Mg in the sample. 1 g/g ratio real 0 Inf NA   Mn_absolute The absolute mass of Mn in the sample. 1 g ratio real 0 Inf NA   Mn_relative_mass The absolute mass of Mn in the sample. 1 g/g ratio real 0 Inf NA   multiplier_to_si A numeric value representing the value with which a given value with a certain measurement unit has to be multiplied in order to convert it to a related SI unit. 100 dimensionless interval real Inf Inf NA   N_absolute The absolute mass of nitrogen in the sample. 1.2 mg ratio real 0 Inf NA   N_relative_mass The mass of the nitrogen in the sample divided by the mass of a sample (e.g.\u00a0the sample before decomposition). 0.013 g/g ratio real 0 Inf NA   number_type A string representing the number type of a numeric variable. NA NA nominal NA NA NA NA   P_absolute The absolute mass of P in the sample. 1 g ratio real 0 Inf NA   p_coumaric_acid_mass_absolute A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   p_coumaric_acid_mass_relative_mass A numeric value representing the content of p-coumaric acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   P_relative_mass The absolute mass of P in the sample. 1 g/g ratio real 0 Inf NA   parent_si A string representing the SI unit from which a certain derived unit is derived. m NA nominal NA NA NA NA   pH A numeric value representing the pH value of the sample. 5,4 dimensionless interval real Inf Inf NA   phenolics_PHBA_equivalents_mass_absolute A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_PHBA_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent). 0.04 g/g ratio real 0 1 NA   phenolics_tannic_acid_equivalents_mass_absolute A numeric value representing the mass content of phenolics (tannic acid equivalent). 10 g ratio real 0 Inf NA   phenolics_tannic_acid_equivalents_mass_relative_mass A numeric value representing the mass content of phenolics (tannic acid equivalent). 0.04 g/g ratio real 0 1 NA   power An integer value. The power to which the dimension is raised. 2 dimensionless interval integer Inf Inf NA   rhamnose_mass_absolute A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   rhamnose_mass_relative_mass A numeric value representing the content of rhamnose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   root_diameter_absolute The diameter of roots in the sample. 2 mm ratio real 0 Inf NA   S_absolute The absolute mass of S in the sample. 1 g ratio real 0 Inf NA   S_relative_mass The absolute mass of S in the sample. 1 g/g ratio real 0 Inf NA   sample_depth_lower A numeric value representing the depth of the lower boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 15 cm interval real Inf Inf NA   sample_depth_upper A numeric value representing the depth of the upper boundary of a sample relative to the land surface (e.g.\u00a0peat surface) [cm]. 12 cm interval real Inf Inf NA   sample_label A string representing a label for each sample. S1 NA nominal NA NA NA NA   sample_microhabitat A string describing the microhabitat where the sample was collected. For peat, this should be one of \u2018hummock\u2019, \u2018hollow\u2019, \u2018lawn\u2019, \u2018pond\u2019. In other cases, a custom value can be used. hummock NA nominal NA NA NA NA   sample_size An integer representing the number of individual measurements which were used to compute the value in column value. 1 NA interval natural 1 Inf NA   sample_treatment A string with an description of an experimental tratment if this was applied. By default, this should be \u2018control\u2019, indicating that there was no manipulation. If there was any experimental manipulation, this can be abbreviated by a label (e.g.\u00a0by a treatment level) that is defined in the textual description of the project (in the file \u2018description.docx\u2019). control NA nominal NA NA NA NA   sample_type A string describing the type of the sample. Must be one of \u2018peat\u2019, \u2018dom\u2019, \u2018vegetation\u2019, \u2018litter\u2019. peat NA nominal NA NA NA NA   sample_type2 A string describing the type of the sample. Here you can provide individual (own) categories which may provide more details than the column sample_type. shoots NA nominal NA NA NA NA   sample_wet_mass_absolute A numeric value representing the mass of the wet sample [g]. 5.6 g ratio real 0 Inf NA   sampling_altitude A numeric value representing the altitude of the exact sampling position [m above sea level]. 543 m ratio real Inf Inf NA   sampling_day An integer representing the day in which a sample was collected. 1 NA interval natural 1 31 NA   sampling_latitude A numeric value representing the latitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0N]. 40447 NA interval real -180 180 NA   sampling_longitude A numeric value representing the longitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system \u2014 this is the system used by Google and is based on the WGS 84 reference system) [\u00b0W]. 79983 NA interval real -180 180 NA   sampling_month An integer representing the month in which a sample was collected. 1 NA interval natural 1 12 NA   sampling_year An integer representing the year in which a sample was collected. 1 NA interval natural 1 Inf NA   site_name A character representing the name of the site where the sample was collected. Mer Bleue NA nominal NA NA NA NA   soluble_Klason_lignin_mass_absolute A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 10 g ratio real 0 Inf NA   soluble_Klason_lignin_mass_relative_mass A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996). 0.04 g/g ratio real 0 1 NA   soluble_lignin_mass_absolute A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   soluble_lignin_mass_relative_mass A numeric value representing the content of soluble lignin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   sphagnan_mass_absolute A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 10 g ratio real 0 Inf NA   sphagnan_mass_relative_mass A numeric value representing the mass content of sphagnan (Ballance et al., 2007). 0.04 g/g ratio real 0 1 NA   standard_unit A logical value indicating if the unit is a standard unit of the Ecological Metadata Language or not. TRUE NA nominal NA NA NA NA   syringe_aldehyde_mass_absolute A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringe_aldehyde_mass_relative_mass A numeric value representing the content of syringe aldehyde, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   syringic_acid_mass_absolute A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   syringic_acid_mass_relative_mass A numeric value representing the content of syringic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   taxon_organ A string describing the organ of a taxon the sample represents (if the sample represents a taxon). For example, if the sample is Carex lasiocarpa, this could be \u2018shoot\u2019, or \u2018root\u2019, or \u2018leaves\u2019. root NA nominal NA NA NA NA   taxon_rank_name A string describing the taxon rank the value in column taxon_rank_value represents (if the sample can be assigned to a specific taxon). For exampe, if the value in column taxon_rank_value is a species name, then you should enter \u2018species\u2019 here, or if the value in column taxon_rank_value is a genus name, then you should enter \u2018genus\u2019 here. species NA nominal NA NA NA NA   taxon_rank_value A string describing the taxon rank value of the sample (if the sample can be assigned to a taxon). For example, if the sample is a distinct species, enter the scientific species name here, or if the sample can be assigned to a genus, enter the scientific genus name here. Sphagnum magellanicum NA nominal NA NA NA NA   temperature A numeric value representing the temperature of the sample [K]. 293.4 K ratio real 0 Inf NA   text_domain_definition A string representing the text domain for a string. NA NA nominal NA NA NA NA   transition_description A string representing a description of what happened to a parent sample during its transition to the child sample. transplantation NA nominal NA NA NA NA   udunits_unit A string representing a measurement unit in the udunits format. m NA nominal NA NA NA NA   unit_type A string representing the type of a unit. length NA nominal NA NA NA NA   value A numeric value representing the measured value. The unit of the value is defined by the corresponding attribute_name. 1.2 NA ratio real 0 Inf NA   value_type A character representing the type of the measured value. One of \u2018point\u2019 (for a single measurement without uncertainty), or \u2018mean\u2019 (average of multiple measurements). point NA nominal NA NA NA NA   vanillic_acid_mass_absolute A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillic_acid_mass_relative_mass A numeric value representing the content of vanillic acid, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   vanillin_mass_absolute A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   vanillin_mass_relative_mass A numeric value representing the content of vanillin, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   volume A numeric value representing the volume of the sample [cm3]. 20 cm^3 ratio real 0 Inf NA   water_extractives_mass_absolute A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   water_extractives_mass_relative_mass A numeric value representing the content of water extractives, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA   water_mass_absolute A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g] 5.6 g ratio real 0 Inf NA   water_mass_relative_mass A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g/g] 2.4 g/g ratio real 0 1 NA   water_mass_relative_volume A numeric value representing the water mass content of the sample as mass of water divided by the volume of the wet sample [g cm-3]. 0.6 g/cm^3 ratio real 0 1 NA   water_table_depth A numeric value representing the depth to the water table level relative to the position of the sample. 23.4 cm ratio real -Inf Inf NA   xylose_mass_absolute A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g ratio real 0 Inf NA   xylose_mass_relative_mass A numeric value representing the content of xylose, as described in Strakov\u00e1 et al. (2010). 0.26 g/g ratio real 0 1 NA        6 Usage notes    6.1 Download  The Peatland Decomposition Database can be downloaded from https://doi.org/10.5281/zenodo.11276065. There you can also download a folder \u201cderived_data\u201d that contains csv files with the experimental design for each study (see attribute file in Tab. 2), and a folder \u201cscripts\u201d with the R Markdown scripts used to import the data into the database.     6.2 Set up  The downloaded database needs to be imported in a running MariaDB instance. In a linux terminal, the downloaded sql file can be imported like so:  mysql -u<user> -p dpeatdecomposition < dpeatdecomposition-backup-2025-02-24.sql  Here, <user> is the database user name.     6.3 R interface  The R package \u2018dpeatdecomposition\u2019 (Teickner and Knorr 2024) provides an R interface to the database, based on the packages \u2018RMariaDB\u2019 (M\u00fcller et al. 2021), and \u2018dm\u2019 (Schieferdecker, M\u00fcller, and Bergant 2022).      7 Citation  If you use data from the Peat Decomposition Database, cite the database and each of the original data sources you use. Bibliographic information on each data source are stored in table citations and linked to datasets via table citations_to_datasets.  The database can be cited as: Teickner, Henning and Klaus-Holger Knorr. 2024. \u201cThe Peatland Decomposition Database.\u201d Zenodo. https://doi.org/10.5281/zenodo.11276065.  Bibtex entries for each dataset can also be obtained using the \u2018dpeatdecomposition\u2019 package:  # connect to database con <-   RMariaDB::dbConnect(     drv = RMariaDB::MariaDB(),     dbname = 'dpeatdecomposition',     default.file = '~/my.cnf'   )  # get database as dm object dm_dpeatdecomposition <-   dpeatdecomposition::dp_get_dm(con, learn_keys = TRUE)  # extract bibtex entries dm_dpeatdecomposition |>   dm::dm_zoom_to(datasets) |>   dm::left_join(citations_to_datasets, by = 'id_dataset') |>   dm::left_join(citations, by = 'id_citation') |>   dm::pull_tbl() |>   as.data.frame()  # disconnect RMariaDB::dbDisconnect(con)  A full list of references for the individual datasets is provided in Tab. 3. Table 3: Sources for each dataset in the Peatland Decomposition Database.     id_dataset Source     1 Farrish and Grigal (1985)   2 Bartsch and Moore (1985)   3 Farrish and Grigal (1988)   4 Vitt (1990)   5 Hogg, Lieffers, and Wein (1992)   6 Sanger, Billett, and Cresser (1994)   7 Hiroki and Watanabe (1996)   8 Szumigalski and Bayley (1996)   9 Prevost, Belleau, and Plamondon (1997)   10 Arp, Cooper, and Stednick (1999)   11 Robbert A. Scheffer and Aerts (2000)   12 R. A. Scheffer, Van Logtestijn, and Verhoeven (2001)   13 Limpens and Berendse (2003)   14 Waddington, Rochefort, and Campeau (2003)   15 Asada, Warner, and Banner (2004)   16 Thormann, Bayley, and Currah (2001)   17 Trinder, Johnson, and Artz (2008)   18 Breeuwer et al. (2008)   19 Trinder, Johnson, and Artz (2009)   20 Bragazza and Iacumin (2009)   21 Hoorens, Stroetenga, and Aerts (2010)   22 Strakov\u00e1 et al. (2010)   22 Strakov\u00e1 et al. (2012)   23 Orwin and Ostle (2012)   24 Lieffers (1988)   25 Manninen et al. (2016)   26 Johnson and Damman (1991)   27 Bengtsson, Rydin, and H\u00e1jek (2018a)   27 Bengtsson, Rydin, and H\u00e1jek (2018b)   28 Asada and Warner (2005)   29 Bengtsson, Granath, and Rydin (2017)   29 Bengtsson, Granath, and Rydin (2016)   30 Hagemann and Moroni (2015)   30 Hagemann and Moroni (2016)   31 B. Piatkowski et al. (2021)   31 B. T. Piatkowski et al. (2021)   32 M\u00e4kil\u00e4 et al. (2018)   33 Golovatskaya and Nikonova (2017)   34 Golovatskaya and Nikonova (2017)        8 Acknowledgements  Development of this database was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant no. KN 929/23-1 to Klaus-Holger Knorr and grant no. PE 1632/18-1 to Edzer Pebesma.     References    Arp, Christopher D., David J. Cooper, and John D. Stednick. 1999. \u201cThe Effects of Acid Rock Drainage on Carex Aquatilis Leaf Litter Decomposition in Rocky Mountain Fens.\u201d Wetlands 19 (3): 665\u201374. https://doi.org/10.1007/BF03161703.  Asada, Taro, and Barry G. Warner. 2005. \u201cSurface Peat Mass and Carbon Balance in a Hypermaritime Peatland.\u201d Soil Science Society of America Journal 69 (2): 549\u201362. https://doi.org/10.2136/sssaj2005.0549.  Asada, Taro, Barry G Warner, and Allen Banner. 2004. \u201cSphagnum Invasion After Clear-Cutting and Excavator Mounding in a Hypermaritime Forest of British Columbia.\u201d Canadian Journal of Forest Research 34 (8): 1730\u201346. https://doi.org/10.1139/x04-042.  Bartsch, I., and T. R. Moore. 1985. \u201cA Preliminary Investigation of Primary Production and Decomposition in Four Peatlands Near Schefferville, Qu\u00e9bec.\u201d Canadian Journal of Botany 63 (7): 1241\u201348. https://doi.org/10.1139/b85-171.  Bengtsson, Fia, Gustaf Granath, and H\u00e5kan Rydin. 2016. \u201cPhotosynthesis, Growth, and Decay Traits in Sphagnum \u2013 a Multispecies Comparison.\u201d Ecology and Evolution 6 (10): 3325\u201341. https://doi.org/10.1002/ece3.2119.  \u2014\u2014\u2014. 2017. \u201cData from: Photosynthesis, Growth, and Decay Traits in Sphagnum \u2013 a Multispecies Comparison.\u201d Dryad. https://doi.org/10.5061/DRYAD.62054.  Bengtsson, Fia, H\u00e5kan Rydin, and Tom\u00e1\u0161 H\u00e1jek. 2018a. \u201cData from: Biochemical Determinants of Litter Quality in 15 Species of Sphagnum.\u201d Dryad. https://doi.org/10.5061/DRYAD.4F8D2.  \u2014\u2014\u2014. 2018b. \u201cBiochemical Determinants of Litter Quality in 15 Species of Sphagnum.\u201d Plant and Soil 425 (1-2): 161\u201376. https://doi.org/10.1007/s11104-018-3579-8.  Bona, Kelly Ann, Arlene Hilger, Magdalena Burgess, Nicole Wozney, and Cindy Shaw. 2018. \u201cA Peatland Productivity and Decomposition Parameter Database.\u201d Ecology 99 (10): 2406\u20136. https://doi.org/10.1002/ecy.2462.  Bragazza, Luca, and Paola Iacumin. 2009. \u201cSeasonal Variation in Carbon Isotopic Composition of Bog Plant Litter During 3 Years of Field Decomposition.\u201d Biology and Fertility of Soils 46 (1): 73\u201377. https://doi.org/10.1007/s00374-009-0406-7.  Breeuwer, Angela, Monique Heijmans, Bjorn J. M. Robroek, Juul Limpens, and Frank Berendse. 2008. \u201cThe Effect of Increased Temperature and Nitrogen Deposition on Decomposition in Bogs.\u201d Oikos 117 (8): 1258\u201368. https://doi.org/10.1111/j.0030-1299.2008.16518.x.  Farrish, K. W., and D. F. Grigal. 1985. \u201cMass Loss in a Forested Bog: Relation to Hummock and Hollow Microrelief.\u201d Canadian Journal of Soil Science 65 (2): 375\u201378. https://doi.org/10.4141/cjss85-042.  \u2014\u2014\u2014. 1988. \u201cDecomposition in an Omrotrophic Bog and a Minerotrophic Fen in Minnesota.\u201d Soil Science 145 (5): 353\u201358. https://doi.org/10.1097/00010694-198805000-00005.  Golovatskaya, E. A., and L. G. Nikonova. 2017. \u201cThe Influence of the Bog Water Level on the Transformation of Sphagnum Mosses in Peat Soils of Oligotrophic Bogs.\u201d Eurasian Soil Science 50 (5): 580\u201388. https://doi.org/10.1134/S1064229317030036.  Hagemann, Ulrike, and Martin T. Moroni. 2015. \u201cMoss and Lichen Decomposition in Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.\u201d Soil Biology and Biochemistry 87 (August): 10\u201324. https://doi.org/10.1016/j.soilbio.2015.04.002.  \u2014\u2014\u2014. 2016. \u201cData on Moss and Lichen Decomposition Rates and Nutrient Loss from Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.\u201d Leibniz-Zentrum f\u00fcr Agrarlandschaftsforschung (ZALF) e.V. https://doi.org/10.4228/ZALF.2007.290.  Hiroki, Mikiya, and Makoto M. Watanabe. 1996. \u201cMicrobial Community and Rate of Cellulose Decomposition in Peat Soils in a Mire.\u201d Soil Science and Plant Nutrition 42 (4): 893\u2013903. https://doi.org/10.1080/00380768.1996.10416636.  Hogg, Edward H., Victor J. Lieffers, and Ross W. Wein. 1992. \u201cPotential Carbon Losses from Peat Profiles: Effects of Temperature, Drought Cycles, and Fire.\u201d Ecological Applications 2 (3): 298\u2013306. https://doi.org/10.2307/1941863.  Hoorens, Bart, Martin Stroetenga, and Rien Aerts. 2010. \u201cLitter Mixture Interactions at the Level of Plant Functional Types Are Additive.\u201d Ecosystems 13 (1): 90\u201398. https://doi.org/10.1007/s10021-009-9301-1.  Johnson, Loretta C., and Antoni W. H. Damman. 1991. \u201cSpecies-Controlled Sphagnum Decay on a South Swedish Raised Bog.\u201d Oikos 61 (2): 234. https://doi.org/10.2307/3545341.  Jones, Matthew, Margaret O\u2019Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Stevan Earl, and Steven Chong. 2019. \u201cEcological Metadata Language Version 2.2.0.\u201d KNB Data Repository. https://doi.org/10.5063/f11834t2.  Lieffers, V. J. 1988. \u201cSphagnum and Cellulose Decomosition in Drained and Natural Areas of an Alberta Peatland.\u201d Canadian Journal of Soil Science 68 (4): 755\u201361. https://doi.org/10.4141/cjss88-073.  Limpens, Juul, and Frank Berendse. 2003. \u201cHow Litter Quality Affects Mass Loss and N Loss from Decomposing Sphagnum.\u201d Oikos 103 (3): 537\u201347. https://doi.org/10.1034/j.1600-0706.2003.12707.x.  M\u00e4kil\u00e4, M., H. S\u00e4\u00e4vuori, A. Grundstr\u00f6m, and T. Suomi. 2018. \u201cSphagnum Decay Patterns and Bog Microtopography in South-Eastern Finland.\u201d Mires and Peat, no. 21 (July): 1\u201312. https://doi.org/10.19189/MaP.2017.OMB.283.  Manninen, S., S. Kivim\u00e4ki, I. D. Leith, S. R. Leeson, and L. J. Sheppard. 2016. \u201cNitrogen Deposition Does Not Enhance Sphagnum Decomposition.\u201d Science of The Total Environment 571 (November): 314\u201322. https://doi.org/10.1016/j.scitotenv.2016.07.152.  M\u00fcller, Kirill, Jeroen Ooms, David James, Saikat DebRoy, Hadley Wickham, and Jeffrey Horner. 2021. \u201cRMariaDB: Database Interface and \u2019MariaDB\u2019 Driver.\u201d  Orwin, Kate H., and Nicholas J. Ostle. 2012. \u201cMoss Species Effects on Peatland Carbon Cycling After Fire: Moss Species Effects on C Cycling After Fire.\u201d Functional Ecology 26 (4): 829\u201336. https://doi.org/10.1111/j.1365-2435.2012.01991.x.  Piatkowski, Bryan T., Joseph B. Yavitt, Merritt R. Turetsky, and A. Jonathan Shaw. 2021. \u201cNatural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by Sphagnum (Peat Moss).\u201d Proceedings of the Royal Society B: Biological Sciences 288 (1957): 20210609. https://doi.org/10.1098/rspb.2021.0609.  Piatkowski, Bryan, Joseph B. Yavitt, Merritt Turetsky, and A. Jonathan Shaw. 2021. \u201cOnline Data for 'Natural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by Sphagnum (Peat Moss).',\u201d August. https://doi.org/10.6084/m9.figshare.14109725.v2.  Pick, Joel L., Shinichi Nakagawa, and Daniel W. A. Noble. 2018. \u201cReproducible, Flexible and High-Throughput Data Extraction from Primary Literature: The metaDigitise R Package.\u201d https://doi.org/10.1101/247775.  Prevost, Marcel, Pierre Belleau, and Andr\u00e9 P. Plamondon. 1997. \u201cSubstrate Conditions in a Treed Peatland: Responses to Drainage.\u201d \u00c9coscience 4 (4): 543\u201354. https://doi.org/10.1080/11956860.1997.11682434.  R Core Team. 2022. R: A Language and Environment for Statistical Computing. Manual. Vienna, Austria: R Foundation for Statistical Computing.  Sanger, L. J., M. F. Billett, and M. S. Cresser. 1994. \u201cThe Effects of Acidity on Carbon Fluxes from Ombrotrophic Peat.\u201d Chemistry and Ecology 8 (4): 249\u201364. https://doi.org/10.1080/02757549408038552.  Scheffer, R. A., R. S. P Van Logtestijn, and J. T. A. Verhoeven. 2001. \u201cDecomposition of Carex and Sphagnum Litter in Two Mesotrophic Fens Differing in Dominant Plant Species.\u201d Oikos 92 (1): 44\u201354. https://doi.org/10.1034/j.1600-0706.2001.920106.x.  Scheffer, Robbert A., and Rien Aerts. 2000. \u201cRoot Decomposition and Soil Nutrient and Carbon Cycling in Two Temperate Fen Ecosystems.\u201d Oikos 91 (3): 541\u201349. https://doi.org/10.1034/j.1600-0706.2000.910316.x.  Schieferdecker, Tobias, Kirill M\u00fcller, and Darko Bergant. 2022. \u201cdm: Relational Data Models.\u201d  Strakov\u00e1, Petra, Jani Anttila, Peter Spetz, Veikko Kitunen, Tarja Tapanila, and Raija Laiho. 2010. \u201cLitter Quality and Its Response to Water Level Drawdown in Boreal Peatlands at Plant Species and Community Level.\u201d Plant and Soil 335 (1-2): 501\u201320. https://doi.org/10.1007/s11104-010-0447-6.  Strakov\u00e1, Petra, Timo Penttil\u00e4, Jukka Laine, and Raija Laiho. 2012. \u201cDisentangling Direct and Indirect Effects of Water Table Drawdown on Above- and Belowground Plant Litter Decomposition: Consequences for Accumulation of Organic Matter in Boreal Peatlands.\u201d Global Change Biology 18 (1): 322\u201335. https://doi.org/10.1111/j.1365-2486.2011.02503.x.  Szumigalski, Anthony R., and Suzanne E. Bayley. 1996. \u201cDecomposition Along a Bog to Rich Fen Gradient in Central Alberta, Canada.\u201d Canadian Journal of Botany 74 (4): 573\u201381. https://doi.org/10.1139/b96-073.  Teickner, Henning, and Klaus-Holger Knorr. 2024. \u201cdpeatdecomposition: R Interface to the Peatland Decomposition Database.\u201d  Thormann, Markus N, Suzanne E Bayley, and Randolph S Currah. 2001. \u201cComparison of Decomposition of Belowground and Aboveground Plant Litters in Peatlands of Boreal Alberta, Canada.\u201d Canadian Journal of Botany 79 (1): 9\u201322. https://doi.org/10.1139/b00-138.  Trinder, Clare J., David Johnson, and Rebekka R. E. Artz. 2008. \u201cInteractions Among Fungal Community Structure, Litter Decomposition and Depth of Water Table in a Cutover Peatland.\u201d FEMS Microbiology Ecology 64 (3): 433\u201348. https://doi.org/10.1111/j.1574-6941.2008.00487.x.  \u2014\u2014\u2014. 2009. \u201cLitter Type, but Not Plant Cover, Regulates Initial Litter Decomposition and Fungal Community Structure in a Recolonising Cutover Peatland.\u201d Soil Biology and Biochemistry 41 (3): 651\u201355. https://doi.org/10.1016/j.soilbio.2008.12.006.  Vitt, Dale H. 1990. \u201cGrowth and Production Dynamics of Boreal Mosses over Climatic, Chemical and Topographic Gradients.\u201d Botanical Journal of the Linnean Society 104 (1-3): 35\u201359. https://doi.org/10.1111/j.1095-8339.1990.tb02210.x.  Waddington, J. M., L. Rochefort, and S. Campeau. 2003. \u201cSphagnum Production and Decomposition in a Restored Cutover Peatland.\u201d Wetlands Ecology and Management 11 (1): 85\u201395. https://doi.org/10.1023/A:1022009621693.", "keywords": ["Databases", "Carex", "Sphagnum", "decomposition", "litterbag", "northern peatland", "peatland"], "contacts": [{"organization": "Teickner, Henning, Knorr, Klaus-Holger,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14917034"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14917034", "name": "item", "description": "10.5281/zenodo.14917034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14917034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-24T00:00:00Z"}}, {"id": "10.5281/zenodo.14973166", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:41Z", "type": "Report", "title": "The increasing threat of desertification to Europe", "description": "The rising threat of desertification, likely to be exacerbated by increasing climatic and anthropogenic drivers in the future, requires immediate and comprehensive action. In the EU, efforts to address desertification have traditionally been plagued by the absence of a centralised EU-level strategy. Policies which do tackle desertification in some form, and to a certain extent, are often sectoral and fragmented in nature.\u00a0   Nonetheless, the EU council\u2019s recent adoption of conclusion to address the challenges brought upon by land degradation and desertification signals an increasing recognition of the need to take action. Revised and new policies, for instance the Common Agricultural Policy and Nature Restoration Law respectively, provide opportunities to combat the drivers and impacts of desertification. However, a lack of binding targets and continued absence of cohesion between policies reflects the distance policies still need to travel in order to combat desertification comprehensively in Europe.", "keywords": ["Land degradation", "Desertification"], "contacts": [{"organization": "Kam, Hermann, Muro, Melanie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14973166"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14973166", "name": "item", "description": "10.5281/zenodo.14973166", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14973166"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-05T00:00:00Z"}}, {"id": "20.500.11850/670813", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:44Z", "type": "Journal Article", "created": "2024-04-24", "title": "Dynamic structure-soil-structure interaction for nuclear power plants", "description": "Open AccessThe paper explores the linear and nonlinear dynamic interaction between the reactor and the auxiliary buildings of a Nuclear Power Plant on a realistic layered soil profile, aiming to evaluate the effect of the auxiliary building on the seismic response of crucial components inside the reactor building. Based on realistic geometrical assumptions, highfidelity 3D finite element (FE) models of increasing sophistication are created in the Real-ESSI Simulator. Starting with elastic soil conditions and assuming tied soil\u2500foundation interfaces, it is shown that the rocking vibration mode of the soil\u2500reactor building system is amplified by the presence of the auxiliary building through a detrimental out-of-phase rotational interaction mechanism. Adding nonlinear interfaces, which allow for soil\u2500foundation detachment during seismic shaking, introduces higher excitation frequencies (above 10 Hz) in the foundation of the reactor building, leading to amplification effects in the resonant vibration response of the biological shield wall (incl. reactor vessel) inside the reactor building. A small amount of sliding at the soil\u2500foundation interface of the auxiliary building slightly decreases its response, thus reducing its aforementioned negative effects on the reactor building. When soil nonlinearity is accounted for, the rocking vibration mode of the soil\u2500reactor building system almost vanishes, thanks to the strongly nonlinear response of the underlying soil. This leads to a beneficial out-of-phase horizontal interaction mechanism between the two buildings, reducing the spectral accelerations at critical points inside the reactor building by up to 55% for frequencies close to the resonant vibration frequency of the auxiliary building. This implies that the neighboring buildings could offer mutual seismic protection to each other, in a similar way to the recently emerged seismic resonant metamaterials, provided that they are properly tuned during the design phase, accounting for soil and soil-foundation interface nonlinearities.", "keywords": ["Structure-Soil-Structure interaction (SSSI)", "Structure-Soil-Structure interaction (SSSI); Nuclear Power Plants (NPPs); Domain reduction method (DRM); Nonlinear interface; Nonlinear soil; Seismic resonant metamaterials; Meta-SSI", "FOS: Physical sciences", "Structure-soil-structure interaction (SSSI); Nuclear power plants (NPPs); Domain reduction method (DRM); Nonlinear interface; Nonlinear soil; Seismic resonant metamaterials; Meta-SSI", "Physics - Applied Physics", "Applied Physics (physics.app-ph)", "7. Clean energy", "Domain reduction method (DRM)", "Meta-SSI", "Nuclear Power Plants (NPPs)", "Nonlinear soil", "Structure-soil-structure interaction (SSSI)", "Nuclear power plants (NPPs)", "Nonlinear interface", "Seismic resonant metamaterials"]}, "links": [{"href": "https://doi.org/20.500.11850/670813"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Dynamics%20and%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/670813", "name": "item", "description": "20.500.11850/670813", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/670813"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-01T00:00:00Z"}}, {"id": "11343/310023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:09Z", "type": "Journal Article", "created": "2021-11-28", "title": "Root\u2010to\u2010shoot iron partitioning in Arabidopsis requires IRON\u2010REGULATED TRANSPORTER1 (IRT1) protein but not its iron(II) transport function", "description": "SUMMARY<p>IRON\uffe2\uff80\uff90REGULATED TRANSPORTER1 (IRT1) is the root high\uffe2\uff80\uff90affinity ferrous iron (Fe) uptake system and indispensable for the completion of the life cycle of Arabidopsis thaliana without vigorous Fe supplementation. Here we provide evidence supporting a second role of IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot partitioning of Fe. We show that irt1 mutants overaccumulate Fe in roots, most prominently in the cortex of the differentiation zone in irt1\uffe2\uff80\uff902, compared to the wild type. Shoots of irt1\uffe2\uff80\uff902 are severely Fe\uffe2\uff80\uff90deficient according to Fe content and marker transcripts, as expected. We generated irt1\uffe2\uff80\uff902 lines producing IRT1 mutant variants carrying single amino\uffe2\uff80\uff90acid substitutions of key residues in transmembrane helices IV and V, Ser206 and His232, which are required for transport activity in yeast. Root short\uffe2\uff80\uff90term 55Fe uptake rates were uninformative concerning IRT1\uffe2\uff80\uff90mediated transport. Overall irt1\uffe2\uff80\uff90like concentrations of the secondary substrate Mn suggested that the transgenic Arabidopsis lines also remain incapable of IRT1\uffe2\uff80\uff90mediated root Fe uptake. Yet, IRT1S206A partially complements rosette dwarfing and leaf chlorosis of irt1\uffe2\uff80\uff902, as well as root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning and gene expression defects of irt1\uffe2\uff80\uff902, all of which are fully complemented by wild\uffe2\uff80\uff90type IRT1. Taken together, these results suggest a regulatory function for IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning that does not require Fe transport activity of IRT1. Among the genes of which transcript levels are partially dependent on IRT1, we identify MYB DOMAIN PROTEIN10, MYB DOMAIN PROTEIN72 and NICOTIANAMINE SYNTHASE4 as candidates for effecting IRT1\uffe2\uff80\uff90dependent Fe mobilization in roots. Understanding the biological functions of IRT1 will help to improve Fe nutrition and the nutritional quality of agricultural crops.</p", "keywords": ["0301 basic medicine", "570", "metal", "Arabidopsis", "NRAMP1", "NAS4", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "Plant Roots", "03 medical and health sciences", "Fe2+", "iron deficiency", "transceptor", "http://metadata.un.org/sdg/2", "Gene Expression Regulation", " Plant", "homeostasis", "MYB10", "Homeostasis", "ddc:580", "Ferrous Compounds", "MYB72", "Cation Transport Proteins", "Nutrition", "580", "2. Zero hunger", "0303 health sciences", "Metal", "Arabidopsis Proteins", "iron uptake", "Iron-Regulatory Proteins", "Biological Transport", "Cell Differentiation", "15. Life on land", "Plant Leaves", "nutrition", "manganese", "Transcriptome", "ZIP", "Plant Shoots"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.15611"}, {"href": "https://doi.org/11343/310023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11343/310023", "name": "item", "description": "11343/310023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11343/310023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-14T00:00:00Z"}}, {"id": "11353/10.1033274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:09Z", "type": "Journal Article", "created": "2018-04-30", "title": "Evaluation of Primers Targeting the Diazotroph Functional Gene and Development of NifMAP \u2013 A Bioinformatics Pipeline for Analyzing nifH Amplicon Data", "description": "Diazotrophic microorganisms introduce biologically available nitrogen (N) to the global N cycle through the activity of the nitrogenase enzyme. The genetically conserved dinitrogenase reductase (nifH) gene is phylogenetically distributed across four clusters (I-IV) and is widely used as a marker gene for N2 fixation, permitting investigators to study the genetic diversity of diazotrophs in nature and target potential participants in N2 fixation. To date there have been limited, standardized pipelines for analyzing the nifH functional gene, which is in stark contrast to the 16S rRNA gene. Here we present a bioinformatics pipeline for processing nifH amplicon datasets - NifMAP ('NifH MiSeq Illumina Amplicon Analysis Pipeline'), which as a novel aspect uses Hidden-Markov Models to filter out homologous genes to nifH. By using this pipeline, we evaluated the broadly inclusive primer pairs (Ueda19F-R6, IGK3-DVV, and F2-R6) that target the nifH gene. To evaluate any systematic biases, the nifH gene was amplified with the aforementioned primer pairs in a diverse collection of environmental samples (soils, rhizosphere and roots samples, biological soil crusts and estuarine samples), in addition to a nifH mock community consisting of six phylogenetically diverse members. We noted that all primer pairs co-amplified nifH homologs to varying degrees; up to 90% of the amplicons were nifH homologs with IGK3-DVV in some samples (rhizosphere and roots from tall oat-grass). In regards to specificity, we observed some degree of bias across the primer pairs. For example, primer pair F2-R6 discriminated against cyanobacteria (amongst others), yet captured many sequences from subclusters IIIE and IIIL-N. These aforementioned subclusters were largely missing by the primer pair IGK3-DVV, which also tended to discriminate against Alphaproteobacteria, but amplified sequences within clusters IIIC (affiliated with Clostridia) and clusters IVB and IVC. Primer pair Ueda19F-R6 exhibited the least bias and successfully captured diazotrophs in cluster I and subclusters IIIE, IIIL, IIIM, and IIIN, but tended to discriminate against Firmicutes and subcluster IIIC. Taken together, our newly established bioinformatics pipeline, NifMAP, along with our systematic evaluations of nifH primer pairs permit more robust, high-throughput investigations of diazotrophs in diverse environments.", "keywords": ["0301 basic medicine", "DIVERSITY", "nifH gene", "Microbiology", "03 medical and health sciences", "NifMAP", "Nitrogen fixation", "PARTICULATE METHANE MONOOXYGENASE", "MOLYBDENUM-NITROGENASE", "Primer evaluation", "MICROORGANISMS", "NifH gene", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "SEQUENCES", "GROUP-IV NITROGENASE", "AMPLIFICATION", "PERFORMANCE", "16. Peace & justice", "QR1-502", "primer evaluation", "nitrogen fixation", "106022 Microbiology", "COMMUNITIES", "N-2 FIXATION", "Illumina amplicon sequencing"]}, "links": [{"href": "https://doi.org/11353/10.1033274"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11353/10.1033274", "name": "item", "description": "11353/10.1033274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11353/10.1033274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-30T00:00:00Z"}}, {"id": "10.5281/zenodo.15019232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:42Z", "type": "Other", "title": "Proposal for soil health indicators", "description": "List of soil health indicators agreed under participatory approach with international experts to monitor soil health. We provide a brief of the method proposed and references", "keywords": ["Soil health", "ecosystem services", "indicators", "biodiversity", "methods"], "contacts": [{"organization": "Universidad Polit\u00e9cnica de Cartagena, University of Vigo, Instituut voor Landbouw en Visserijonderzoek, Johann Heinrich von Th\u00fcnen-Institut, Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Zabala Innovation Consulting (Spain), LGI Sustainable Innovation, CMCC Foundation - Euro-Mediterranean Center on Climate Change, CSIC, Central Organisation, Frauenklinik der Technischen Universit\u00e4t M\u00fcnchen, Wageningen University & Research, Latvian State Forest Research Institute   'Silava  ', Universit\u00e0 degli Studi della Tuscia, SOLUCIONES AGRICOLAS CULTIVATE, FUNDACION JUANA DE VEGA, FLACHENAGENTUR RHEINLAND, SIA RIGAS MEZI, Scotland's Rural College, University of Sussex, Northern Arizona University, Forschungsinstitut f\u00fcr Biologischen Landbau,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15019232"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15019232", "name": "item", "description": "10.5281/zenodo.15019232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15019232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-13T00:00:00Z"}}, {"id": "10.5281/zenodo.15024429", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-04-03T16:24:42Z", "type": "Dataset", "title": "Climate change and the transformation of non-toxic sediments into toxic soils", "description": "RestrictedENG: In recent years, the floodplain lakes of the Vistula River in Poland have been drying up and the sediments have been transforming into soils. The data show changes in physical and chemical properties between the sediments and the soils that developed from them. The study included texture, pH, hydrolytic acidity, total alkaline cations, total nitrogen, organic carbon, total content of Al, Ca, Fe, K, Mg, Mn, Na, P as well as heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) and their speciation. In addition, a toxicity assessment of both materials was performed.   PL: W ostatnich latach starorzecza Wis\u0142y wysychaj\u0105, a osady przekszta\u0142caj\u0105 si\u0119 w gleby. Dane pokazuj\u0105 zmiany w\u0142a\u015bciwo\u015bci fizycznych i chemicznych mi\u0119dzy osadami a glebami, kt\u00f3re si\u0119 z nich wykszta\u0142ci\u0142y. Badania obejmowa\u0142y uziarnienie, pH, kwasowo\u015b\u0107 hydrolityczn\u0105, ca\u0142kowit\u0105 zawarto\u015b\u0107 kation\u00f3w zasadowych, azot ca\u0142kowity, w\u0119giel organiczny, ca\u0142kowit\u0105 zawarto\u015b\u0107 Al, Ca, Fe, K, Mg, Mn, Na, P, a tak\u017ce metali ci\u0119\u017ckich (Cd, Cr, Cu, Ni, Pb, Zn) i ich specjacj\u0119. Ponadto przeprowadzono ocen\u0119 toksyczno\u015bci obydwu materia\u0142\u00f3w.", "keywords": ["small lakes", "climate change", "13. Climate action", "sediments", "toxicity assessment", "15. Life on land", "heavy metals", "heavy metal speciation", "6. Clean water", "soil"], "contacts": [{"organization": "Gmitrowicz-Iwan, Joanna", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15024429"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15024429", "name": "item", "description": "10.5281/zenodo.15024429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15024429"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-27T00:00:00Z"}}, {"id": "10.5281/zenodo.15040664", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:43Z", "type": "Dataset", "title": "Data for: Nutrient recovery from digestate: Pilot test experiments", "keywords": ["food waste", "digestate", "selective electrodialysis"], "contacts": [{"organization": "Centre for Research and Technology Hellas", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15040664"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15040664", "name": "item", "description": "10.5281/zenodo.15040664", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15040664"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-27T00:00:00Z"}}, {"id": "10.5281/zenodo.15044246", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:43Z", "type": "Journal Article", "created": "2024-09-19", "title": "Unmanned aerial vehicle-based evaluation of pollination performance employing clustering image processing technique", "description": "Abstract           <p>             The global decline of pollinator populations is posing a threat to agricultural productivity, increasingly forcing farmers to introduce pollinators to their fields. Selecting suitable pollinator species is critical for effective crop pollination. This study presents an efficient method for early pollination assessment, utilizing unmanned aerial vehicle (UAV) footage for reliable estimation and timely reactions. Twelve oilseed rape (             Brassica napus var. oleracea             ) isolation cages with three pollinator treatments were set up, including the control with no pollinators. The trial employed UAV image acquisition, generating high-resolution RGB orthomosaics. A K-means clustering algorithm was implemented to identify oilseed rape flowers, a direct indicator of pollination performance. The percentage of detected oilseed rape flower coverage within each cage was the primary metric for performance assessment. These initial results demonstrated a negative correlation of 0.92 between estimated flower coverage and expert observations, affirming the efficacy of the proposed methodology. By integrating UAVs and clustering image processing, this research contributes to precision agriculture, offering a robust approach for evaluating pollination performance. The findings underscore the potential of advanced technology to support informed decision-making in agricultural practices, addressing the urgent need for sustainable pollination management in the face of declining pollinator populations.           </p", "keywords": ["pollination", "precision agriculture", "oilseed rape", "agricultural productivity", "rapeseed", "UAV technology"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s43170-024-00290-7.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15044246"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CABI%20Agriculture%20and%20Bioscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15044246", "name": "item", "description": "10.5281/zenodo.15044246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15044246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-19T00:00:00Z"}}, {"id": "10.5281/zenodo.15077319", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:43Z", "type": "Report", "title": "SYNTHESIS AND CHARACTERIZATION OF VANADIUM CARBIDE FOR SERS SENSORS", "description": "Abstract  MXenes as two-dimensional inorganic materials with tailorable surface chemistry have been attracting huge attention to the scientific community because of the variety in their functional properties, such as high electrical and thermal conductivity, large surface area, biocompatibility, etc. [1\u20134]. In this work, V2CTx was obtained by etching of V2AlC precursor by HF and mixture of HF and HCl too. XRD, Raman and SEM analyses were performed to evaluate the structure and morphology of the synthesized powder, which indicated micron-sized and almost phase-pure nature of the material. Surface-enhanced Raman scattering (SERS) is a rapid, highly sensitive, non-destructive technique with high signal amplification possibilities. MXenes are good candidates for SERS substrates due to their highly metallic characteristics such as good and unique electronic and optical properties. Also, they are flexible and hydrophilic and which makes them suitable for tagging with Raman reporters [5]. However, since V2CTx hasn't been much in focus for this application, it motivated us to develop such a sensor.", "keywords": ["V2CTx", "SERS", "vanadium carbide", "MXenes"], "contacts": [{"organization": "Toth, Elvira, Peri\u0107, Milinko, Paska\u0161, Jovana, Lazi\u0107, Andrea, Cveji\u0107, \u017deljka, Srdi\u0107, Vladimir V., Kanas, Nikola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15077319"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15077319", "name": "item", "description": "10.5281/zenodo.15077319", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15077319"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15077359", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:24:43Z", "type": "Report", "title": "Precision Agriculture Utilizing LoRaWAN Wireless Sensor Nodes in Greenhouses: A Case Study in Vojvodina", "description": "This paper presents the development and deployment of wireless sensor nodes that implement Long-Range (LoRa) Wireless Area Network (WAN) to collect agricultural data relevant to the greenhouse production of vegetables in the Vojvodina region. The central part of the node is Multitech\u2019s mDot communication module based on Arm processor, and compliant with LoRaWAN communication standard. The node is capable of handling multiple sensors of different types. It supports analog, digital, and standard serial communication interfaces for sensor connection. The node is powered by a single Li-Ion or Lo-Po battery and features low power consumption. Low power is utilized inherently from LoRa infrastructure, having transmissions of data in small chunks very rarely (5 min to 1 hour or more), as well as with hardware and firmware implementation.", "keywords": ["Remote sensing", " IoT", " greenhouse production"], "contacts": [{"organization": "Krklje\u0161, Damir, Kiti\u0107, Goran, Birgermajer, Slobodan, Mirovic, Mina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15077359"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15077359", "name": "item", "description": "10.5281/zenodo.15077359", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15077359"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-13T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=se&offset=3800&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=se&offset=3800&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=se&offset=3750", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=se&offset=3850", "hreflang": "en-US"}], "numberMatched": 10456, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T12:58:22.912972Z"}