{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.5987644", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:54Z", "type": "Dataset", "title": "Supporting data for review article: The Global Distribution, Formation, and Fate of Mineral-Associated Soil Organic Matter Under a Changing Climate \u2013 A Trait-Based Perspective", "description": "Supporting data and code for review article: Sokol N.W., Whalen E.D., Kallenbach C., Pett-Ridge J., Georgiou K. The Global Distribution, Formation, and Fate of Mineral-Associated Soil Organic Matter Under a Changing Climate \ufffd\ufffd\ufffd A Trait-Based Perspective. <em>Functional Ecology, </em>2022. We leveraged data from a global synthesis of soil fractionation measurements (DOI: 10.5281/zenodo.5987415). For this review article, we specifically focused on measurements of bulk and mineral-associated soil organic carbon concentrations (reported in units of gC/kg soil) and the proportion of bulk soil organic carbon that is mineral-associated (reported as a %). This subset also includes auxiliary data regarding climate and biome characteristics extracted from the synthesized papers; for more variables, see the original full dataset. K\ufffd\ufffdppen-Geiger climate zones were extracted from a georeferenced global database (using R package 'kgc' v1.0.0.2) with site coordinates, where available. Three files are provided in this repository: (1) data file, (2) metadata file, and (3) code for manuscript figures and summary statistics.", "keywords": ["2. Zero hunger", "mineral-associated organic matter", "climate change", "13. Climate action", "biogeochemistry", "15. Life on land", "soil fractions", "particulate organic matter"], "contacts": [{"organization": "Georgiou, Katerina", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5987644"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5987644", "name": "item", "description": "10.5281/zenodo.5987644", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5987644"}, {"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.6024054", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:54Z", "type": "Dataset", "title": "Data supporting \"Crop yield after 5 decades of contrasting residue management\"", "description": "Data supporting the pubblication 'Crop yield after 5 decades of contrasting residue management' by Piccoli et al. (2020). Nutr Cycl Agroecosyst (2020) 117:231\ufffd\ufffd\ufffd241. https://doi.org/10.1007/s10705-020-10067-9(0123456789().,-volV() 0123458697().,-volV)", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Piccoli, Ilaria, Sartori, Felice, Polese, Riccardo, Berti, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6024054"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6024054", "name": "item", "description": "10.5281/zenodo.6024054", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6024054"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-09T00:00:00Z"}}, {"id": "10.5281/zenodo.6024182", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Data supporting \"A multivariate approach to evaluate reduced tillage systems and cover crop sustainability\"", "description": "Data supporting 'A multivariate approach to evaluate reduced tillage systems and cover crop sustainability' by Sartori et al. (2022) Land, 11, 55. https://doi.org/ 10.3390/land11010055", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Sartori, Felice, Piccoli, Ilaria, Polese, Riccardo, Berti, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6024182"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6024182", "name": "item", "description": "10.5281/zenodo.6024182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6024182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-09T00:00:00Z"}}, {"id": "10.5281/zenodo.6033551", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Data to support the publication \"The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\" https://doi.org/10.3390/land10090964", "description": "Underlying data of soil measurements and analysis by TUC team for the publication \ufffd\ufffd\ufffdThe Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\ufffd\ufffd\ufffd https://doi.org/10.3390/land10090964 from the SoilCare project study sites in Crete. Abstract: The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\ufffd\ufffd\ufffdor with some omissions\ufffd\ufffd\ufffd, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water", "Soil erosion", " bulk density", " Mineral Nitrogen", " Exchangeable Mg", " Available P", " SOC"], "contacts": [{"organization": "Tsanis, Ioannis, Seiradakis, Konstantinos, Sarchani, Sofia, Panagea, Ioanna S, Alexakis, Dimitrios D, Koutroulis, Aristeidis G,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6033551"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6033551", "name": "item", "description": "10.5281/zenodo.6033551", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6033551"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6088072", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Other", "title": "SoildiverAgro Regional Communities and case studies Booklet", "description": "Description of the multi-actor approach strategy follow up by SoildiverAgro project where regional communities are described and case studies related to those communities are explained, with an update on the activities regarding interaction with stakeholders. This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["casestudies", " regionalcommunities", " stakeholderengagement", " multiactor", "11. Sustainability", "15. Life on land"], "contacts": [{"organization": "Tamara Rodriguez Silva", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6088072"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6088072", "name": "item", "description": "10.5281/zenodo.6088072", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6088072"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-15T00:00:00Z"}}, {"id": "10.5281/zenodo.6130983", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "An in situ observation datset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau", "description": "Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture monitoring stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we have compiled a soil hydraulic properties and soil moisture dataset for a high and cold mountainous area, Northeastern Qinghai-Tibet Plateau. Specifically, the soil hydraulic properties include clay, silt, sand, soil organic carbon, soil saturated hydraulic conductivity, soil water retention curve parameters (Van Genuchten model) and soil bulk density.", "keywords": ["soil hydraulic properties", " soil moisture", " mountainous area", " Qinghai-Tibet Plateau", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "He, Chansheng, Tian, Jie, Wang, Xuejing, Zhang, Lanhui, Zhang, Baoqing, Wang, Yibo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6130983"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6130983", "name": "item", "description": "10.5281/zenodo.6130983", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6130983"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-08T00:00:00Z"}}, {"id": "10.5281/zenodo.6024183", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Data supporting \"A multivariate approach to evaluate reduced tillage systems and cover crop sustainability\"", "description": "Data supporting 'A multivariate approach to evaluate reduced tillage systems and cover crop sustainability' by Sartori et al. (2022) Land, 11, 55. https://doi.org/ 10.3390/land11010055", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Sartori, Felice, Piccoli, Ilaria, Polese, Riccardo, Berti, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6024183"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6024183", "name": "item", "description": "10.5281/zenodo.6024183", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6024183"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-09T00:00:00Z"}}, {"id": "10.5281/zenodo.6033552", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Data to support the publication \"The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\" https://doi.org/10.3390/land10090964", "description": "Underlying data of soil measurements and analysis by TUC team for the publication \ufffd\ufffd\ufffdThe Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\ufffd\ufffd\ufffd https://doi.org/10.3390/land10090964 from the SoilCare project study sites in Crete. Abstract: The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\ufffd\ufffd\ufffdor with some omissions\ufffd\ufffd\ufffd, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water", "Soil erosion", " bulk density", " Mineral Nitrogen", " Exchangeable Mg", " Available P", " SOC"], "contacts": [{"organization": "Tsanis, Ioannis, Seiradakis, Konstantinos, Sarchani, Sofia, Panagea, Ioanna S, Alexakis, Dimitrios D, Koutroulis, Aristeidis G,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6033552"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6033552", "name": "item", "description": "10.5281/zenodo.6033552", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6033552"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6201565", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Predicted maps", "description": "This dataset is the final product of research through the projects ANTARES (grant agreement No. 739570) and CYBELE (grant agreement No. 825355). The dataset consists of yield, protein content and selective harvesting soya maps at a resolution of 10 m. These maps were created by satellite images and soil properties data using machine learning algorithms. Maps are located in the Upper Austria region. Files with the name of 'map yield' contain information about yield amount per pixel, while files with 'map protein' denote parcels with predicted protein content. Also, the same protein map files contain an additional class column. Class 1 indicates pixels where soya have good quality (protein content &gt; 41), while class 2 represents poorer quality.", "keywords": ["2. Zero hunger", "Predicted yield", " protein and selective harvesting maps", "15. Life on land"], "contacts": [{"organization": "Pejak, Branislav", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6201565"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6201565", "name": "item", "description": "10.5281/zenodo.6201565", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6201565"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.6204822", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Predicted maps", "description": "This dataset is the final product of research through the projects ANTARES (grant agreement No. 739570) and CYBELE (grant agreement No. 825355). The dataset consists of yield, protein content and selective harvesting soya maps at a resolution of 10 m. These maps were created by satellite images and soil properties data using machine learning algorithms. Maps are located in the Upper Austria region. Files with the name of 'map yield' contain information about yield amount per pixel, while files with 'map protein' denote parcels with predicted protein content. Also, the same protein map files contain an additional class column. Class 1 indicates pixels where soya have good quality (protein content &gt; 41), while class 2 represents poorer quality.", "keywords": ["2. Zero hunger", "Predicted yield", " protein and selective harvesting maps", "15. Life on land"], "contacts": [{"organization": "Pejak, Branislav", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6204822"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6204822", "name": "item", "description": "10.5281/zenodo.6204822", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6204822"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.6320693", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "MOSSO_WaterChemistry_Lakes_Monthly_2007-2020", "description": "<strong>Abstract</strong> The dataset provides information about the monthly water chemistry of two high-elevation lakes: Bowditch Lake (coordinates: 45\ufffd\ufffd52'30.52'N, 7\ufffd\ufffd52'15.51'E, elevation: 2900 m a.s.l., lake area: 2400 m2) and Cimalegna Lake (coordinates: 45\ufffd\ufffd52'23.17'N, 7\ufffd\ufffd52'37.60'E, elevation: 2800 m a.s.l., lake area: 2700 m2). The Bowditch and Cimalegna lakes are located in the uppermost area and in the middle of the Cimalegna plateau, respectively. The bedrock of both lake catchments is mainly characterised by metamorphic rocks with a predominance of rocks with acid composition, and displaying the secondary presence of basic and terrigenous-carbonatic rocks. Soil (often vegetated) is the main land cover type in the Cimalegna Lake catchment, while coarse sediment constitutes the main land cover type in the Bowditch Lake catchment. Lakes are sampled from 3 points on the shore with no vegetation, at ca. 10-cm depth. The analysed water chemical parameters are: N-NH4 and N-NO3 (period 2007-2020); dissolved organic carbon (DOC), total dissolved nitrogen (TDN), and dissolved organic nitrogen (DON) (period 2011-2020); pH and electrical conductivity (EC) (period 2015-2020). <strong>Method Description</strong> The analyses are performed in the laboratory on filtered samples (0.45 \ufffd\ufffdm, nylon). N-NH4 is determined spectrophotometrically (Spectrophotometer U-2000, Hitachi, Tokyo, Japan) by a modified Berthelot method involving reaction with salicylate in the presence of alkaline sodium dichloroisocyanurate (Crooke and Simpson 1971, https://doi.org/10.1002/jsfa.2740220104). N-NO3 is determined spectrophotometrically by the Greiss reaction as described by Mulvaney (1996, ISBN-10: \ufffd\ufffd\ufffd 0891188258; ISBN-13: \ufffd\ufffd\ufffd 978-0891188254) and modified by Cucu et al. (2014, https://doi.org/10.1007/s00374-013-0893-4). DOC and TDN are determined by a TOC analyzer (Elementar, Vario TOC, Hanau, Germany). DON is determined as the difference between TDN and inorganic nitrogen (N-NH4 + N-NO3). pH is measured potentiometrically using a WTW-InoLab 7110 pH-meter equipped with Hamilton GelGlass electrode. EC at 20\ufffd\ufffdC is measured using a Crison - Micro CM 2201. <strong>Instrumentation</strong> Spectrophotometer U-2000, Hitachi, Tokyo, Japan (N-NH4 and N-NO3) Elementar, Vario TOC, Hanau, Germany (DOC and TDN) WTW-InoLab 7110 pH-meter equipped with Hamilton GelGlass electrode (pH) Crison - Micro CM 2201 (EC)", "keywords": ["13. Climate action", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Freppaz, Michele, Colombo, Nicola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6320693"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6320693", "name": "item", "description": "10.5281/zenodo.6320693", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6320693"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.5281/zenodo.6323695", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Prediction stock of soil organic carbon in Argentina", "description": "We standardized the Stocks soil organic carbon (SOC) at 0-30 cm depth for 5,073 soil samples. We spatially predicted SOC stock (kg/m2) using regression forest and associated prediction uncertainties using quantile regression forest at 1000 m resolution. Global accuracy based on cross-validation. We obtained a RMSE 2.624 and Rsquared 0.464.", "keywords": ["15. Life on land", "digital soil mapping", " soil organic carbon", " quantile regression forest", " data harmonization"], "contacts": [{"organization": "Olmedo, Guillermo F., Angelini, Marcos E., Schulz, Guillermo A., Rodr\ufffd\ufffdguez, Dar\ufffd\ufffdo M., Taboada, Miguel A., Pascale, Carla, Escobar, Dardo, Guevara, Mario, Heuvelink, Gerard B.M., Colazo, Juan C., Gait\ufffd\ufffdn, Juan J., Aleksa, Alicia S., Babelis, Germ\ufffd\ufffdn C., Peralta, Alfredo R., Peralta, Guillermo, Rojas, Julieta M, Sainz Rozas, Hern\ufffd\ufffdn R., Vizgarra, Lidia A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6323695"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6323695", "name": "item", "description": "10.5281/zenodo.6323695", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6323695"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6320617", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "MOSSO_SoilChemistry_AllSites_Monthly_2016-2020", "description": "<strong>Abstract</strong> The dataset provides information about the soil chemical properties at eight permanent LTER sites (named site 1, 2, 3, 6, 7, 8, 9, and 10, according to the LTER site numerations), located between 2686 (site 10) and 2854 m a.s.l. (site 6). The investigated period is 2016-2020. Details: Site 1 (coordinates: 45\ufffd\ufffd52'22.43'N, 7\ufffd\ufffd52'25.84'E; elevation: 2840 m a.s.l.), Site 2 (coordinates: 45\ufffd\ufffd52'22.17'N, 7\ufffd\ufffd52'38.07'E; elevation: 2800 m a.s.l.), Site 3 (coordinates: 45\ufffd\ufffd52'13.52'N, 7\ufffd\ufffd52'35.01'E; elevation: 2770 m a.s.l.), Site 6 (coordinates: 45\ufffd\ufffd52'32.21'N, 7\ufffd\ufffd52'31.87'E; elevation: 2854 m a.s.l.), Site 7 (coordinates: 45\ufffd\ufffd52'29.13'N, 7\ufffd\ufffd52'44.71'E; elevation: 2813 m a.s.l.), Site 8 (coordinates: 45\ufffd\ufffd52'27.74'N, 7\ufffd\ufffd52'56.86'E; elevation: 2749 m a.s.l.), Site 9 (coordinates: 45\ufffd\ufffd52'23.80'N, 7\ufffd\ufffd53'3.96'E; elevation: 2720 m a.s.l.), and Site 10 (coordinates: 45\ufffd\ufffd52'21.76'N, 7\ufffd\ufffd53'9.32'E; elevation: 2686 m a.s.l.). The bedrock is primarily micaschists, with some inclusions of amphibolites and calcschists. The vegetation of the sites is included in the \ufffd\ufffd\ufffdSiliceous alpine and boreal grasslands\ufffd\ufffd\ufffd (habitat 6150, according to the EU Habitat Directive). At each site, consisting of paired plots for soil and vegetation survey, three 9 m<sup>2 </sup>plots are established, where three topsoil samples (A horizon, 0\ufffd\ufffd\ufffd10 cm depth) are collected each month during the snow-free season. On soil samples the following analysis are performed: N-NH4, N-NO3, dissolved organic carbon (DOC), total dissolved nitrogen (TDN), dissolved organic nitrogen (DON), microbial carbon (Cmicr), and microbial nitrogen (Nmicr). <strong>Method Description</strong> Each soil sample consists of three subsamples that are homogenised by sieving at 2 mm. An aliquot of 20 g of fresh soil is extracted with 100 mL K2SO4 0.5 M, while 10 g are fumigated using chloroform for 18 h before extraction with 50 mL K2SO4 0.5 M. The concentration of DOC in not fumigated soil extracts (extractable DOC) is determined with a TOC analyzer (Elementar, Vario TOC, Hanau, Germany) after filtration with 0.45 \ufffd\ufffdm nylon membrane filters. The microbial carbon (Cmicr) is estimated as the difference in extractable DOC between fumigated and non-fumigated samples, corrected using a recovery factor of 0.45 (Brookes et al. 1985, https://doi.org/10.1016/0038-0717(85)90144-0). Extractable N-NH4 concentration in soil extracts is measured spectrophotometrically (U-2000, Hitachi, Tokyo, Japan) using a modified Berthelot method based on the reaction with salicylate in the presence of alkaline sodium dichloroisocyanurate (Crooke and Simpson 1971, https://doi.org/10.1002/jsfa.2740220104). Extractable N-NO3 concentration in soil extracts is measured spectrophotometrically (U-2000, Hitachi, Tokyo, Japan) using the Greiss reaction (Mulvaney 1996, ISBN-10: \ufffd\ufffd\ufffd 0891188258; ISBN-13: \ufffd\ufffd\ufffd 978-0891188254) modified according to Cucu et al. (2014, https://doi.org/10.1007/s00374-013-0893-4). Extractable TDN is measured as reported for DOC. Extractable DON is determined as the difference between extractable TDN and inorganic nitrogen (extractable N-NH4 + N-NO3) in the extracts. Nmicr is estimated from the difference in extractable TDN between fumigated and non-fumigated samples corrected using a recovery factor of 0.54 (Brookes et al. 1985, https://doi.org/10.1016/0038-0717(85)90144-0). <strong>Instrumentation</strong> Spectrophotometer U-2000, Hitachi, Tokyo, Japan (N-NH4 and N-NO3) Elementar, Vario TOC, Hanau, Germany (DOC and TDN)", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Freppaz, Michele, Colombo, Nicola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6320617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6320617", "name": "item", "description": "10.5281/zenodo.6320617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6320617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.5281/zenodo.6320677", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "MOSSO_SoilPhysics&Chemistry_AllSites", "description": "<strong>Abstract</strong> The dataset provides information about the soil physical and chemical properties at eight permanent LTER sites (named site 1, 2, 3, 6, 7, 8, 9, and 10, according to the LTER site numerations), located between 2686 (site 10) and 2854 m a.s.l. (site 6). Details: Site 1 (coordinates: 45\ufffd\ufffd52'22.43'N, 7\ufffd\ufffd52'25.84'E; elevation: 2840 m a.s.l.), Site 2 (coordinates: 45\ufffd\ufffd52'22.17'N, 7\ufffd\ufffd52'38.07'E; elevation: 2800 m a.s.l.), Site 3 (coordinates: 45\ufffd\ufffd52'13.52'N, 7\ufffd\ufffd52'35.01'E; elevation: 2770 m a.s.l.), Site 6 (coordinates: 45\ufffd\ufffd52'32.21'N, 7\ufffd\ufffd52'31.87'E; elevation: 2854 m a.s.l.), Site 7 (coordinates: 45\ufffd\ufffd52'29.13'N, 7\ufffd\ufffd52'44.71'E; elevation: 2813 m a.s.l.), Site 8 (coordinates: 45\ufffd\ufffd52'27.74'N, 7\ufffd\ufffd52'56.86'E; elevation: 2749 m a.s.l.), Site 9 (coordinates: 45\ufffd\ufffd52'23.80'N, 7\ufffd\ufffd53'3.96'E; elevation: 2720 m a.s.l.), and Site 10 (coordinates: 45\ufffd\ufffd52'21.76'N, 7\ufffd\ufffd53'9.32'E; elevation: 2686 m a.s.l.). The bedrock is primarily micaschists, with some inclusions of amphibolites and calcschists. The vegetation of the sites is included in the \ufffd\ufffd\ufffdSiliceous alpine and boreal grasslands\ufffd\ufffd\ufffd (habitat 6150, according to the EU Habitat Directive). Each study site consists of paired plots for soil and vegetation survey. Soils belongs mainly to Regosol (sites 1 and 8), Leptosol (site 2), Cambisol (sites 6 and 7), and Umbrisol (sites 3, 9, and 10) great groups (IUSS Working Group WRB, 2015, E-ISBN 978-92-5- 108370-3.). On soil samples the following analyses are performed: pH, Cation Exchange Capacity (CEC), Total Organic Carbon (TOC), Total Nitrogen (TN), available phosphorous (Olsen P), and particle-size. <strong>Method Description</strong> The field description of the soil profile is done according to FAO (2006, ISBN 92-5-105521-1) while soil classification is done according to WRB classification system IUSS Working Group WRB, (2015 E-ISBN 978-92-5- 108370-3.). Soil material is collected from every horizon in the soil pit. The soil samples are air-dried, sieved to 2 mm, and analysed following the standard methods reported by Van Reeuwijk (2002, ISBN: 90-6672-044-1.). pH is measured in water (soil:water=1:2.5). Particle-size analysis is performed by the pipette method after organic matter destruction with H2O2 followed by dispersion with Na-hexametaphosphate. CEC is determined in a BaCl2 solution buffered at pH 8.1. TOC and TN are analysed by dry combustion with a CN elemental analyzer (CE Instruments NA2100, Rodano, Italy). Available P (Olsen P) is extracted with NaHCO3 and determined colorimetrically by the ascorbic acid molybdate blue method (Murphy and Riley 1962, https://doi.org/10.1016/S0003-2670(00)88444-5). <strong>Instrumentation</strong> WTW-InoLab 7110 pH-meter equipped with Hamilton GelGlass electrode (pH) CN elemental analyzer CE Instruments NA2100, Rodano, Italy (TOC and TN) Spectrophotometer U-2000, Hitachi, Tokyo, Japan (Olsen P)", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Freppaz, Michele, Colombo, Nicola,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6320677"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6320677", "name": "item", "description": "10.5281/zenodo.6320677", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6320677"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.5281/zenodo.6323558", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Black soils in Argentina", "description": "Open AccessTenti Vuegen LM, Rodr\ufffd\ufffdguez DM, Moretti LM, de la Fuente JC, Schulz GA, Angelini ME (2021) Black soils in Argentina. En: The Global Status of Black Soils. FAO (En Prensa).", "keywords": ["digital soil mapping", " black soils", " probability map", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6323558"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6323558", "name": "item", "description": "10.5281/zenodo.6323558", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6323558"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-11T00:00:00Z"}}, {"id": "10.5281/zenodo.6330102", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:55Z", "type": "Dataset", "title": "Model output data of the paper: \"Management induced changes of soil organic carbon on global croplands\"", "description": "# Model output data of the paper: 'Management induced changes of soil organic carbon on global croplands'<br> This data was prodused using the the MadRat framework and the mrsoil R-library by the R-script SOCBudget.R, which is stored together with the data. mrsoil is based on the R-libraries mrcommons, mrmagpie and mrvalidation. ### REFERENCES<br> Dietrich J, Baumstark L, Wirth S, Giannousakis A, Rodrigues R, Bodirsky B, Kreidenweis U, Klein D (2020). _madrat: May All Data be<br> Reproducible and Transparent (MADRaT)_. doi: 10.5281/zenodo.1115490 (URL: https://doi.org/10.5281/zenodo.1115490), R package version<br> 1.86.0, &lt;URL: https://github.com/pik-piam/madrat&gt;. rstens K, Dietrich J (2020). _mrsoil: MadRat Soil Organic Carbon Budget Library_. doi: 10.5281/zenodo.4317933 (URL:<br> https://doi.org/10.5281/zenodo.4317933), R package version 1.1.0, &lt;URL: https://github.com/pik-piam/mrsoil&gt;. Bodirsky B, Karstens K, Baumstark L, Weindl I, Wang X, Mishra A, Wirth S, Stevanovic M, Steinmetz N, Kreidenweis U, Rodrigues R, Popov<br> R, Humpenoeder F, Giannousakis A, Levesque A, Klein D, Araujo E, Beier F, Oeser J, Pehl M, Leip D, Molina Bacca E, Martinelli E,<br> Schreyer F, Dietrich J (2020). _mrcommons: MadRat commons Input Data Library_. doi: 10.5281/zenodo.3822009 (URL:<br> https://doi.org/10.5281/zenodo.3822009), R package version 0.11.10, &lt;URL: https://github.com/pik-piam/mrcommons&gt;. Karstens K, Dietrich J, Chen D, Windisch M, Alves M, Beier F, v. Jeetze P, Mishra A, Humpenoeder F (2020). mrmagpie: madrat based MAgPIE Input Data Library. doi: 10.5281/zenodo.4319612 (URL: https://doi.org/10.5281/zenodo.4319612), R package version 0.31.0, &lt;URL: https://github.com/pik-piam/mrmagpie&gt;. Bodirsky B, Wirth S, Karstens K, Humpenoeder F, Stevanovic M, Mishra A, Biewald A, Weindl I, Chen D, Molina Bacca E, Kreidenweis U, W. Yalew A, Humpenoeder<br> F, Wang X, Dietrich J (2020). _mrvalidation: madrat data preparation for validation purposes_. doi: 10.5281/zenodo.4317826 (URL:<br> https://doi.org/10.5281/zenodo.4317826), R package version 2.5.0, &lt;URL: https://github.com/pik-piam/mrvalidation&gt;. ## LICENSE<br> This data is open-source: you can redistribute it and/or modify it under the terms of the **CC Attribution 4.0 International** as published by the Creative Commons Corporation at https://creativecommons.org/licenses/by/4.0/legalcode. ## CONTACT<br> karstens@pik-potsdam.de", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Karstens, Kristine", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6330102"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6330102", "name": "item", "description": "10.5281/zenodo.6330102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6330102"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-14T00:00:00Z"}}, {"id": "10.5281/zenodo.6463925", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "The true colour of water at Upper Penticton Creek -- data and scripts", "description": "These files contain data and scripts used in the analysis for an article titled ' Streamwater colour in snow-dominated headwater catchments: natural variability and the effects of forest harvesting,' by R.D. Moore, R.D. Winkler and G.D. Hope, to be published in <em>Hydrological Processes</em>. The file <em>upc_water_colour.csv</em> contains the colour data as expressed in true colour units (TCU). The first line is a comment that should be skipped, noting that entries of 'creek dry' have been manually edited out of this version of the data. All other editing was performed in the script named <em>0_wrangle_data.r</em>. The columns are as follows: <em>Year</em> - year of observation as four-digit value (e.g., 2005) <em>Date</em> - date as dd-Mmm (e.g., 15-May) <em>Day</em> - day of year (e.g., 1-Jan = 1) <em>Cut241</em> - cumulative area harvested in 241 Creek as a percentage of catchment area <em>Cut242</em> - cumulative area harvested in 241 Creek as a percentage of catchment area <em>wc_240</em> - water colour (TCU) in 240 Creek <em>wc_241</em> - water colour (TCU) in 241 Creek <em>wc_242</em> - water colour (TCU) in 242 Creek The scripts are numbered in the order of dependency. For example, a script beginning <em>0_</em> should be run before running a script beginning <em>1_</em>. The scripts are set up to be run within an R project on the local hard drive. The project directory should contain a folder named <em>data</em> that contains <em>upc_water_colour.csv. </em>All other data sets are accessed programmatically within the scripts. Brief descriptions of the scripts follow: <em>0_wrangle_data.r</em> - Uses functions in the <strong>tidyhydat</strong> package to access streamflow data; corrects some erroneous entries for the water colour data; merges streamflow and colour data sets for further analysis. <em>0_wrangle_spatial_data.r</em> - Accesses digital elevation models (DEMs) catchment boundaries and soil map from the Upper Penticton Creek data repository (zenodo); computes various topographic indices from the DEMS; saves processed files on the local hard drive in a folder named <em>dem</em>, located within the project root folder. <em>1_soil_maps.r </em>- Generates a map of the gleyed soil units (Figure 2). <em>1_q_pca_trimonthly.r </em>- Performs a paired-catchment analysis of the streamflow response to logging using a tri-monthly time step; generates plots of observed and predicted streamflow for 241 and 242 Creeks (Figure 3). <em>1_wc_analysis_post_140.r</em> - Analyses water colour variations and response to logging; generates figures used in the article; analysis focuses on days 145 and on each year due to lack of data for earlier dates in the pre-harvest period. <em>1_catchment_characteristics.r</em> - Computes topographic indices for each catchment and generates a table (Table 1) that contains a summary of catchment characteristics. <em>ch_saga_functions.r</em> - Contains functions that use RSAGA package to process the digital elevation models to remove sinks and calculate contributing area grids.", "keywords": ["paired-catchment experiment", "snowmelt", "forestry", "streamflow", "true colour", "15. Life on land", "water quality", "dissolved organic carbon", "headwater", "6. Clean water"], "contacts": [{"organization": "Moore, R.D.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6463925"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6463925", "name": "item", "description": "10.5281/zenodo.6463925", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6463925"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-15T00:00:00Z"}}, {"id": "10.5281/zenodo.6379480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:55Z", "type": "Journal Article", "created": "2021-07-14", "title": "The Effect of N Fertilizer Application Timing on Wheat Yield on Chernozem Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The challenges of the global food supply and environment conservation require ongoing scientific observations of soil-to-plant and plant-to-environment interactions with the aim of improving agriculture resource management. This study included observations of winter wheat yield and biomass of four varieties over three consecutive growing seasons and four site-year cases to assess the effects of nitrogen (N) fertilization rate and time of application on grain yield and biomass. For different wheat varieties, the full factorial design was performed, where factorial combinations of year, location, fall and spring N applications were laid out in a randomized complete block design. The N rate significantly influenced grain yield and biomass production efficiency. The time of N application had a highly significant effect on grain yield, biomass and NUE traits. The N rate of 120 kg ha\u22121 was recognized as a breakpoint over which the grain yield and biomass showed a downtrend. N application in the fall had a significantly higher impact on grain yield and biomass compared to spring N application. The major contribution of wheat variability production belongs to seasonal climate circumstances (&lt;85%) and consequential intrinsic soil properties. The average difference of grain yield between varieties was 15.75%, and 12% of biomass, respectively.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "NUE", "S", "design of experiment (DoE)", "yield response", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "nitrogen fertilization", "nitrogen fertilization; yield response; design of experiment (DoE); NUE", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/7/1413/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/7/1413/pdf"}, {"href": "https://doi.org/10.5281/zenodo.6379480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6379480", "name": "item", "description": "10.5281/zenodo.6379480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6379480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-14T00:00:00Z"}}, {"id": "10.5281/zenodo.6397568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Maps of soil organic carbon stocks in Brazil", "description": "Open AccessThis database was created by Gustavo Vieira Veloso and Lucas Carvalho Gomes 04/06/2022. <br> Contact: gustavo.v.veloso@gmail.com and lucascarvalhogomes15@hotmail.com Maps of soil organic carbon (SOC) stocks in Brazil of the article: 'Modeling and mapping soil organic carbon stocks in Brazil' (doi: 10.1016/j.geoderma.2019.01.007) The dataset is composed of five folders of SOC stocks maps at the standard depths (0\u20135, 5\u201315, 15\u201330, 30\u201360, and 60\u2013100 cm). The maps are in Geotif format (EPSG 102015) with a spatial resolution of approximately 1 km and include the mean SOC stocks, standard deviation (SD), coefficient of variation (CV), 0.05 and 0.95 quantiles. The maps are free to use and please cite also the article:<br> Gomes, L.C., Faria, R.M., de Souza, E., Veloso, G.V., Schaefer, C.E.G., &amp; Fernandes Filho, E.I. (2019). Modeling and mapping soil organic carbon stocks in Brazil. Geoderma, 340, 337-350.", "keywords": ["2. Zero hunger", "Random Forests", "Spatial prediction", "Soil carbon stock", "Machine learning", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6397568"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6397568", "name": "item", "description": "10.5281/zenodo.6397568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6397568"}, {"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.6411321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Litter decomposition is moderated by scale-dependent microenvironmental variation in tundra ecosystems", "description": "<strong>QHI_crop.tiff </strong>= We carried out topographic surveys using unoccupied aerial vehicles photogrammetry in August 2017. We used three UAV platforms to collect RGB multispectral data at a fine (3 cm) spatial resolution: DJI Phantom 4 Pro and Advanced (multicopter), and Phantom FX-61 (fixed wing), and used used structure from motion with multiview steriopsis to obtain a fine-grain 10 cm spatial resolution digital surface model and orthomosaic as described in Cunliffe et al. (2019a, 2019b). <strong>thermsum.tif </strong>= We used the microclima package in R (Kearney et al., 2020; Maclean et al., 2019) to model surface air temperature at a 1-m spatial grain. Using our fine resolution DSM, we modelled mean surface temperatures at the study site for each day spanning the teabag burial period of 13th July to 9th August 2017. The microclima model incorporates local daily climate, radiation, cloud cover and coastal exposure data from gridded global datasets derived from RCNEP (Kemp et al., 2012). We summed the 28 TIF files produced through this modelling technique to produce a 28-day thermal sum variable - a metric which captures the overall heating of the ground surface over the course of the experiment. <strong>Cited Works:</strong> Cunliffe, A., I. Myers-Smith. J. Kerby and W. Palmer (2019a). Orthomosaic of permafrost landscape on Qikiqtaruk \u2013 Herschel Island, Yukon, Canada: August 2017. NERC Polar Data Centre. DOI:10.5285/29bf1c9f-a39a-452c-b9f9-de35d9fb9179. Cunliffe, A., G. Tanski, B. Radosavljevic, W. Palmer, T. Sachs, H. Lantuit, J. Kerby, and I. Myers-Smith (2019b) Rapid retreat of permafrost coastline observed with aerial drone photogrammetry. The Cryosphere 13(5):1513-1528. DOI: 10.5194/tc-13-1513-2019. Maclean, I. M. (2020). Predicting future climate at high spatial and temporal resolution. <em>Global Change Biology</em>, <em>26</em>(2), 1003\u20131011. Kearney, M. R., Gillingham, P. K., Bramer, I., Duffy, J. P., &amp; Maclean, I. M. (2020). A method for computing hourly, historical, terrain\u2010corrected microclimate anywhere on Earth. <em>Methods in Ecology and Evolution</em>, <em>11</em>(1), 38-43. Kemp, M. U., Van Loon, E. E., Shamoun-Baranes, J., &amp; Bouten, W. (2012). RNCEP: global weather and climate data at your fingertips. <em>Methods in Ecology &amp; Evolution</em>, <em>3</em>(1), 65-70. <strong>Paper Abstract:</strong> <strong>The Arctic tundra is one of the world\u2019s largest organic carbon stores, yet this carbon is vulnerable to accelerated decomposition as climate warming progresses. We currently know very little about landscape-scale controls of litter decomposition in tundra ecosystems, which hinders our understanding of the global carbon cycle. </strong> <strong>Here, we examined how local-scale topography, surface air temperature, soil moisture and permafrost conditions influenced litter decomposition rates across a heterogeneous tundra landscape on Qikiqtaruk - Herschel Island (Yukon, Canada).</strong> <strong>We used the Tea Bag Index protocol to derive decomposition metrics which we then compared across environmental gradients, including thermal sum surface temperature data derived from fine-resolution microclimate data modelled from drone derived topographic data.</strong> <strong>We found greater green tea litter mass loss and faster decomposition rates in wetter and warmer areas within the landscape, and to a lesser extent in areas with deeper permafrost active layer thickness.</strong> <strong>Spatially heterogeneous belowground conditions (soil moisture and active layer depth) explained variation in decomposition metrics at the landscape-scale (&gt; 10 m) better than surface temperature.</strong> <strong>Surprisingly, there was no strong control of elevation or slope of litter decomposition. We also found higher decomposition rates on North-facing relative to South-facing aspects at microsites that were wetter rather than warmer.</strong>", "keywords": ["dsm", "decomposition", "13. Climate action", "microclima", "15. Life on land", "thermal sum", "microclimate"], "contacts": [{"organization": "Gallois, Elise, Myers-Smith, Isla, Daskalova, Gergana, Kerby, Jeffrey, Thomas, Haydn, Cunliffe, Andrew,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6411321"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6411321", "name": "item", "description": "10.5281/zenodo.6411321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6411321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-14T00:00:00Z"}}, {"id": "10.5281/zenodo.6413955", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Realistic soil carbon sequestration considering food security and climate change", "description": "This dataset contains soil organic carbon stocks as described in Keel et al. Global Change Biology (submitted) Annual soil organic carbon (SOC) stocks (t C ha-1, 0-30 cm depth) of Swiss agricultural soils simulated with the model RothC for the years 2020-2100. Simulations were performed for 240 strata (regions with similar agricultural production types, climatic conditions and clay content). The SOC stocks are weighted averages across strata for the national scale. <br> Each column contains SOC stocks for a specific combination of a climate model chains (nine in total) and an emission scenario (three in total: RCP 26, RCP 45, RCP 85) (specified in column header). The results include simulated SOC stocks for a baseline scenario and five soil carbon sequestration (SCS) scenarios (cover crops, biochar amendment at two rates, biochar amendment based on biomass from two agroforestry scenarios). <br> The SCS scenarios were only performed on cropland, therefore there is only a single file for grassland (the baseline scenario). <br> All simulations (i.e. baseline as well as the five scenarios) account for changes in crop shares and organic matter additions associated with growing food demand as well as climate change. The scenarios are described in Keel et al. Global Change Biology (submitted) CL_baseline: Baseline scenario for cropland (CL) <br> GL_baseline: Baseline scenario for permanent grassland (GL)<br> CL_cover_crops: Cover crop scenario for cropland <br> CL_biochar_I: Biochar I scenario for cropland <br> CL_biochar_II: Biochar II scenario for cropland <br> CL_agroforestry_I: Agroforestry I scenario for cropland <br> CL_agroforestry_II: Agroforestry II scenario for cropland", "keywords": ["2. Zero hunger", "13. Climate action", "soil organic carbon", " negative emission technology", " carbon dioxide removal", " 4p1000", " climate change", " population growth", " food security", " soil carbon modelling", " biomass availability", " RothC", " biochar", " cover crops", " agroforestry", "15. Life on land", "7. Clean energy"], "contacts": [{"organization": "Keel, Sonja G.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6413955"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6413955", "name": "item", "description": "10.5281/zenodo.6413955", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6413955"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-05T00:00:00Z"}}, {"id": "10.5281/zenodo.6412372", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Dataset for McClelland et al. 2022. Infrequent compost applications increased plant productivity and soil organic carbon in irrigated pasture but not degraded rangeland. Agriculture, Ecosystems, and Environment.", "description": "Raw data files accompanying the published article 'Infrequent compost applications increased plant productivity and soil organic carbon in irrigated pasture but not degraded rangeland' in <em>Agriculture, Ecosystems, and Environment</em>. https://authors.elsevier.com/a/1etJPcA-Ik6yb Units for response variables in .csv files are as follows. Please reach out to scm229@cornell.edu with any questions about using the files or the data within. -- Aboveground biomass: total (Mg ha-1), carbon (Mg C ha-1), nitrogen (kg N ha-1) Bulk density: g cm-3 Respiration (Rs): micro mol m-2 s-1 Roots: Mg C ha-1 Soil C and N: organic and inorganic carbon (Mg C ha-1), nitrogen (Mg N ha-1)", "keywords": ["2. Zero hunger", "Dryland", "13. Climate action", "Agriculture", "15. Life on land", "Soil carbon"], "contacts": [{"organization": "McClelland, Shelby C., Cotrufo, M. Francesca, Haddix, Michelle L., Paustian, Keith, Schipanski, Meagan E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6412372"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6412372", "name": "item", "description": "10.5281/zenodo.6412372", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6412372"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-25T00:00:00Z"}}, {"id": "10.5281/zenodo.6418385", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Report", "title": "Rewet-wetland observatories for the rewetting of drained peatlands", "description": "Rewet- wetland observatories for the rewetting of drained peatlands", "keywords": ["15. Life on land", "6. Clean water"], "contacts": [{"organization": "Torsten Berg", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6418385"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6418385", "name": "item", "description": "10.5281/zenodo.6418385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6418385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "10.5281/zenodo.6460208", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Subarctic soil carbon losses after deforestation for agriculture depend on permafrost abundance - study data", "description": "Contains the dataset and R code used for the study 'Subarctic soil carbon losses after deforestation for agriculture depend on permafrost abundance'.", "keywords": ["Yukon", " climate change", " chronosequence", " fractionation", " soil organic matter", " land-use change", " Canada", "15. Life on land"], "contacts": [{"organization": "Peplau, Tino, Schroeder, Julia, Gregorich, Edward, Poeplau, Christopher,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6460208"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6460208", "name": "item", "description": "10.5281/zenodo.6460208", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6460208"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-14T00:00:00Z"}}, {"id": "10.5281/zenodo.6483640", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Report", "title": "Interacciones entre la gesti\u00f3n agr\u00edcola y la biodiversidad del suelo: una visi\u00f3n general de los conocimientos actuales", "description": "This book is the Spanish version of the book 'Interactions between agricultural management and soil biodiversity: an overview of current knowledge' which presents a literature review of the soil biodiversity problems of the European Farmers and the strategies developed to solve them.<br> The aspects considered in this revision book are:<br> - The importance of the soil biodiversity in the design of cropping systems.<br> - Crop rotation and its effect over the edaphic fauna.<br> - The effect of tillage on the communities that inhabit in the cultivated soils.<br> - The ability of soil fauna to regulate the proliferation of pathogenic fungi related to certain crop diseases.<br> - Different types of bacteria that promote plant growth.<br> - The relationship between soil contamination and biodiversity.<br> - The effect of organic and synthetic fertilizers on the biodiversity of the edaphic fauna.<br> - The development of alarm systems that allow the early detection of pathogens.<br> - The increase in soil quality associated with the use of cover crops.<br> - The use of trap crops to reduce the use of pesticides while maintaining production and quality. This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Soto G\u00f3mez, Diego, Fern\u00e1ndez Calvi\u00f1o, David, Shanskiy, Merrit,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6483640"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6483640", "name": "item", "description": "10.5281/zenodo.6483640", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6483640"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-25T00:00:00Z"}}, {"id": "11583/2972394", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:30Z", "type": "Journal Article", "created": "2022-08-29", "title": "Fungi, P-Solubilization, and Plant Nutrition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The application of plant beneficial microorganisms is widely accepted as an efficient alternative to chemical fertilizers and pesticides. It was shown that annually, mycorrhizal fungi and nitrogen-fixing bacteria are responsible for 5 to 80% of all nitrogen, and up to 75% of P plant acquisition. However, while bacteria are the most studied soil microorganisms and most frequently reported in the scientific literature, the role of fungi is relatively understudied, although they are the primary organic matter decomposers and govern soil carbon and other elements, including P-cycling. Many fungi can solubilize insoluble phosphates or facilitate P-acquisition by plants and, therefore, form an important part of the commercial microbial products, with Aspergillus, Penicillium and Trichoderma being the most efficient. In this paper, the role of fungi in P-solubilization and plant nutrition will be presented with a special emphasis on their production and application. Although this topic has been repeatedly reviewed, some recent views questioned the efficacy of the microbial P-solubilizers in soil. Here, we will try to summarize the proven facts but also discuss further lines of research that may clarify our doubts in this field or open new perspectives on using the microbial and particularly fungal P-solubilizing potential in accordance with the principles of the sustainability and circular economy.</p></article>", "keywords": ["2. Zero hunger", "P-solubilization; alternative P-sources; fungi; new strategies for P-solubilization; sustainable agriculture", "QH301-705.5", "New strategies for P-solubilization", "Sustainable agriculture", "Fungi", "Alternative P-sources", "alternative P-sources", "Review", "04 agricultural and veterinary sciences", "15. Life on land", "new strategies for P-solubilization", "12. Responsible consumption", "sustainable agriculture", "P-solubilization", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "fungi", "Biology (General)"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2972394/1/microorganisms-10-01716.pdf"}, {"href": "https://www.mdpi.com/2076-2607/10/9/1716/pdf"}, {"href": "https://doi.org/11583/2972394"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11583/2972394", "name": "item", "description": "11583/2972394", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11583/2972394"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-26T00:00:00Z"}}, {"id": "10.5281/zenodo.6473231", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Characterization of the Agroecological Zones of Europe", "description": "Open AccessThis dataset was compiled in the i-SoMPE Project of EJP SOIL in 2021 and 2022.  This dataset contains information to characterize the agroecological zones (AEZ) of Europe on 4 spatial levels. The data was calculated by an R project (available on Zenodo and GitLab) using publicly available data on land use, climate, soil characteristics and slope. More information on the data can be found in the report of the i-SoMPE project.  The dataset contains the following files:    4 CSV files with information on 1 of 4 spatial levels  1 CSV file with information on cover crop suitability on one spatial level (L4)  1 XLSX file that contains information on the attributes described in the dataset  1 ZIP-Folder with a shapefile of the AEZs used in i-SoMPE and described in the dataset", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Olivier Heller", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6473231"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6473231", "name": "item", "description": "10.5281/zenodo.6473231", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6473231"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-20T00:00:00Z"}}, {"id": "10.5281/zenodo.6483641", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Report", "title": "Interacciones entre la gesti\u00f3n agr\u00edcola y la biodiversidad del suelo: una visi\u00f3n general de los conocimientos actuales", "description": "This book is the Spanish version of the book 'Interactions between agricultural management and soil biodiversity: an overview of current knowledge' which presents a literature review of the soil biodiversity problems of the European Farmers and the strategies developed to solve them.<br> The aspects considered in this revision book are:<br> - The importance of the soil biodiversity in the design of cropping systems.<br> - Crop rotation and its effect over the edaphic fauna.<br> - The effect of tillage on the communities that inhabit in the cultivated soils.<br> - The ability of soil fauna to regulate the proliferation of pathogenic fungi related to certain crop diseases.<br> - Different types of bacteria that promote plant growth.<br> - The relationship between soil contamination and biodiversity.<br> - The effect of organic and synthetic fertilizers on the biodiversity of the edaphic fauna.<br> - The development of alarm systems that allow the early detection of pathogens.<br> - The increase in soil quality associated with the use of cover crops.<br> - The use of trap crops to reduce the use of pesticides while maintaining production and quality. This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["2. Zero hunger", "15. Life on land"], "contacts": [{"organization": "Soto G\u00f3mez, Diego, Fern\u00e1ndez Calvi\u00f1o, David, Shanskiy, Merrit,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6483641"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6483641", "name": "item", "description": "10.5281/zenodo.6483641", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6483641"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-25T00:00:00Z"}}, {"id": "10.5281/zenodo.6484843", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Software", "title": "OpenLandUse 2.0.0 data model", "description": "Open SourceDevelopment of OLU has received funding from the European Union's Competitiveness and innovation framework programme under grant agreement No. 621129 called 'Uptake of Open Geographic Information Through Innovative Services Based on Linked Data' (SDI4Apps). Development of OLU has received funding from the European Union's Competitiveness and innovation framework programme under grant agreement No. 621074 called 'Farm-Oriented Open Data in Europe' (FOODIE).", "keywords": ["data model", "OpenLandUse", "land cover", "land use", "15. Life on land", "OLU", "database"], "contacts": [{"organization": "Kepka, Michal, Ko\u017euch, Dmitrij, H\u00e1jek, Pavel, \u0158ezn\u00edk, Tom\u00e1\u0161, Charv\u00e1t, Karel, Chytr\u00fd, Jan, Mildorf, Tom\u00e1\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6484843"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6484843", "name": "item", "description": "10.5281/zenodo.6484843", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6484843"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-24T00:00:00Z"}}, {"id": "10.5281/zenodo.6684567", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:58Z", "type": "Software", "title": "Derivation of soil physical and hydraulic properties", "description": "The SWAT+ model requires the soil properties of the Hydrological Response Units defined based on slope, land use and soil maps. These soil properties are soil layering, maximum rooting depth, information on soil cracking, effective bulk density, available water capacity, saturated hydraulic conductivity, organic carbon content, sand, silt and clay content, rock fragment content, moist soil albedo, USLE soil erodibility factor, hydrologic soil group, and nutrient content of the surface soil layer. Most of the basic soil properties \u2013 e.g. soil organic carbon content, particle size distribution \u2013 are usually locally available, but information on soil hydraulic properties are often missing. The soil physical properties can be computed with the so called pedotransfer functions, which are widely-used indirect techniques enabling the soil hydraulic properties to be predicted by using easily-retrievable basic soil information. The R script provides a possible approach to compute the missing soil physical and hydraulic properties adapted for the soil table required by the Soil and Water Assessment Tool (SWAT).", "keywords": ["15. Life on land", "6. Clean water"], "contacts": [{"organization": "Szab\u00f3, Brigitta, M\u00e9sz\u00e1ros, J\u00e1nos,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6684567"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6684567", "name": "item", "description": "10.5281/zenodo.6684567", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6684567"}, {"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.6484842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Software", "title": "OpenLandUse 2.0.0 data model", "description": "Open AccessDevelopment of OLU has received funding from the European Union's Competitiveness and innovation framework programme under grant agreement No. 621129 called 'Uptake of Open Geographic Information Through Innovative Services Based on Linked Data' (SDI4Apps). Development of OLU has received funding from the European Union's Competitiveness and innovation framework programme under grant agreement No. 621074 called 'Farm-Oriented Open Data in Europe' (FOODIE).", "keywords": ["data model", "OpenLandUse", "land cover", "land use", "15. Life on land", "OLU", "database"], "contacts": [{"organization": "Kepka, Michal, Ko\u017euch, Dmitrij, H\u00e1jek, Pavel, \u0158ezn\u00edk, Tom\u00e1\u0161, Charv\u00e1t, Karel, Chytr\u00fd, Jan, Mildorf, Tom\u00e1\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6484842"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6484842", "name": "item", "description": "10.5281/zenodo.6484842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6484842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-24T00:00:00Z"}}, {"id": "10.5281/zenodo.6500189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "Methane fluxes from four elevation zones in a St. Lawrence Estuary salt marsh", "description": "Dataset used in Spartina alterniflora has the highest methane emissions in a St. Lawrence estuary salt marsh - IOPscience. The dataset contains methane fluxes calculated from gas measurements taken over a 40 or 60 minute period using a dark static chamber method. Methane fluxes were measured at six locations in four elevation zones of a northern salt marsh on the St. Lawrence River estuary at La Pocati\u00e8re, Quebec (47\u00b022'24.7'N 70\u00b003'26.3'W). Additional environmental data was collected including carbon dioxide fluxes, extractable soil nitrate, extractable soil ammonium, extractable soil dissolved organic carbon, extractable soil total dissolved nitrogen, salinity, temperature, water table depth, soil total organic carbon, soil total nitrogen, soil organic carbon to nitrogen ratio and bulk density. Soil cores were collected from 0-15 cm and used for extractable nutrient analysis, bulk density and soil organic carbon and nitrogen analysis. The work was carried out with funding from the European Union\u2019s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement 838296, a NSERC Discovery Grant and a Natural Environment Research Council grant number (NE/T012323/1). This dataset is used in a publication entitled <em>Spartina alterniflora</em> has the highest methane emissions in a St. Lawrence Estuary salt marsh in Environmental Research: Ecology (https://doi.org/10.1088/2752- 664X/ac706a), which also contains more details on fieldsite and methodology. Gas samples were collected from dark, static chambers (18L, 26 cm diameter), which were placed onto pre-inserted collars in the vegetated zones (inserted to 2.5 cm, 3 days prior to sampling) or placed directly onto the mudflat. The chambers were insulated and fitted with fans and venting tubes. Gas samples were collected on the 23rd August 2020 from all sites, soil cores were collected between the 24-25th August 2020 and the 19-20th September 2020. Soil samples were collected at 0-15 cm using a 2.5 cm diameter dutch gouge corer. Soil temperature was measured at 10 cm depth using a soil thermometer, (\u00b0C, DeltaTrak 11050, Pleasanton, USA), salinity was measured in the laboratory using a portable ATC refractometer. Water table depth was measured using a PVC piezometer, a plastic pipe with tubing was inserted into the piezometer and blown into to determine water table depth through bubbling sound (cm). Soil cores were dried at 60 \u00b0C to constant weight and the dry weight over core volume used to calculate bulk density (g cm-3), soil was finely ground and analysed for total organic carbon and total nitrogen (%) using an Elemental Analyser (ThermoFinnigan Flash EA 1112 CN analyser, Carlo Erba, Milan, Italy) with an accuracy of \u00b15 % for N and \u00b11 % for C, and a limit of 171 detection of 0.05 % for both N and C. Extractable nitrate+nitrite (assumed to be nitrate) were analysed in soil extractant (2M KCl, 5:1 of extractant to soil) using a microplate reader and methods in Sims et al., 1995 (https://doi.org/10.1080/00103629509369298) with a limit of detection of 0.1 ppm and accuracy of \u00b15%. Extractable dissolved organic carbon and total dissolved nitrogen were analysed in soil extractant (ultrapure water 18.2 M\u03a9, 5:1 of extractant to soil) on a TOC/TDN analyser (TOC VCSn + TMN-1, Shimadzu, Kyoto, Japan), with a 50 mg C l -1 standard resulting in an accuracy and precision of 3.0 and \u00b14.4 mg l-1, respectively. CH4 and CO2 concentrations were measured in the gas samples using a gas chromatograph (GC-14, Shimadzu, Kyoto, Japan) fitted with a flame ionisation detector, CO2 was methanised to CH4 before analysis. Standards of CH4 (5.1 ppm) and CO2 (5000 ppm) resulted in an accuracy and precision of 6.6\u00b11.5 and 0.4 ppm, and 5324\u00b1324 and 78 ppm, respectively, for CH4 and CO2. Changes in gas concentration over time were converted to fluxes using a linear regression of the linear portion fo the flux and if fluxes were below the minimum detectable concentration difference (see https://doi.org/10.1002/2017JG003783), they were set to zero. Results from the experiments were entered into an Excel spreadsheet for ingestion into the Zenodo data repository.", "keywords": ["13. Climate action", "15. Life on land", "6. Clean water", "methane", " CH4", " salt marsh", " saltmarsh", " greenhouse gas fluxes", " carbon sequestration", " elevation zones"], "contacts": [{"organization": "Comer-Warner, Sophie, Ullah, Sami, Ampuero Reyes, Wendy, Krause, Stefan, Chmura, Gail,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6500189"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6500189", "name": "item", "description": "10.5281/zenodo.6500189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6500189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-28T00:00:00Z"}}, {"id": "10.5281/zenodo.6511047", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "i-SoMPE Inventory A: List and description of 58 innovative soil management practices", "description": "List and description of 58 innovative soil management practices (inventory A)", "keywords": ["15. Life on land"], "contacts": [{"organization": "Olivier Heller, Fr\u00e9d\u00e9ric Vanwindekens,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6511047"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6511047", "name": "item", "description": "10.5281/zenodo.6511047", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6511047"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-02T00:00:00Z"}}, {"id": "10.5281/zenodo.6513429", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Data files belonging to the paper \"Dealing with clustered samples for assessing map accuracy by  cross-validation\"", "description": "Open Access{'references': ['de Bruin et al., 2022. Dealing with clustered samples for assessing map accuracy by cross-validation. https://doi.org/10.1016/j.ecoinf.2022.101665']}", "keywords": ["Soil organic carbon", "Above-ground biomass", "Machine learning", "Life Science", "15. Life on land", "Spatial cross-validation", "Spatial autocorrelation"], "contacts": [{"organization": "de Bruin, Sytze, Brus, Dick, Heuvelink, Gerard, van Ebbenhorst Tengbergen, Tom, Wadoux, Alexandre,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6513429"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6513429", "name": "item", "description": "10.5281/zenodo.6513429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6513429"}, {"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.6511048", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:56Z", "type": "Dataset", "title": "i-SoMPE Inventory A: List and description of 58 innovative soil management practices", "description": "List and description of 58 innovative soil management practices (inventory A)", "keywords": ["15. Life on land"], "contacts": [{"organization": "Olivier Heller, Fr\u00e9d\u00e9ric Vanwindekens,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6511048"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6511048", "name": "item", "description": "10.5281/zenodo.6511048", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6511048"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-02T00:00:00Z"}}, {"id": "10.5281/zenodo.6514191", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "An in situ observation dataset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau", "description": "Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture monitoring stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we have compiled a soil hydraulic properties and soil moisture dataset for a high and cold mountainous area, Northeastern Qinghai-Tibet Plateau. Specifically, the soil hydraulic properties include clay, silt, sand, soil organic carbon, soil saturated hydraulic conductivity, soil water retention curve parameters (Van Genuchten model) and soil bulk density.", "keywords": ["soil hydraulic properties", " soil moisture", " mountainous area", " Qinghai-Tibet Plateau", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "He, Chansheng, Tian, Jie, Wang, Xuejing, Zhang, Lanhui, Zhang, Baoqing, Wang, Yibo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6514191"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6514191", "name": "item", "description": "10.5281/zenodo.6514191", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6514191"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-08T00:00:00Z"}}, {"id": "10.5281/zenodo.6519858", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Contents of soil organic matter fractions as affected by warming and rain exclusion at a semiarid Mediterranean site", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Plaza, C\u00e9sar, Maestre, Fernando T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6519858"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6519858", "name": "item", "description": "10.5281/zenodo.6519858", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6519858"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.6539765", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Globally-gridded data for manuscript: Global stocks and capacity of mineral-associated soil organic carbon", "description": "Supporting globally-gridded data products for manuscript: Georgiou K., Jackson R. B., Vindu\u0161kov\u00e1 O., Abramoff R. Z., Ahlstr\u00f6m A., Feng W., Harden J. W., Pellegrini A. F. A., Polley H. W., Soong J. L., Riley W. J., Torn M. S. Global stocks and capacity of mineral-associated soil organic carbon. <em>Nature Communications</em>, 2022. We leveraged data from a global synthesis of soil fractionation measurements (DOI: 10.5281/zenodo.5987415) along with ancillary data on climate, vegetation, and soil characteristics to produce spatially-explicit global estimates of mineral-associated soil organic carbon stocks (MOC) and mineralogical carbon capacity (MOC<sub>max</sub>) in non-permafrost, non-desert mineral soils. Globally-gridded datasets are given in kgC/m<sup>2</sup> for topsoil (0-30cm) and subsoil (30-100cm) at 0.5 degree by 0.5 degree spatial resolution.", "keywords": ["2. Zero hunger", "mineral-associated organic matter", "biogeochemistry", "soil organic matter", "15. Life on land", "carbon storage", "soil fractions"], "contacts": [{"organization": "Georgiou, Katerina, Jackson, Robert B., Vindu\u0161kov\u00e1, Olga, Abramoff, Rose Z., Ahlstr\u00f6m, Anders, Feng, Wenting, Harden, Jennifer W., Pellegrini, Adam. F. A., Polley, H. Wayne, Soong, Jennifer L., Riley, William J., Torn, Margaret S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6539765"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6539765", "name": "item", "description": "10.5281/zenodo.6539765", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6539765"}, {"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.6566752", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Soil carbon stock, litter decomposition, and weather data from Ethiopian forests", "description": "Open Access<strong>Introduction</strong> 100 sampling units (SU) were selected from the total of 631 SUs of the Forest Reference Level submission 2017 (FRL 2017). The sampling was designed unbiased for total growing stock per SU, altitude,and mean litter depth per SU. The actual field sampling succeeded on 98 of the pre-selected SUs due to accessibility restrictions. <strong>Soil profile sampling</strong> Soil sampling was performed from November 2017 till mid-January 2018. Samples were taken from undisturbed soil from depths of 0-10 cm, 10-20 cm, and 20-30 cm below the organic layer. Volumetric samples of 107.5 cm<sup>3</sup> were taken vertically, using a 10 cm long conically shaped corer with a cutting lower edge diameter of 37 mm and upper diameter of 40 mm. Composite samples were formed by combining the volumetric samples taken from different depths of two parallel soil profiles. The samples were transported to EEFRI Soil Laboratory in Addis Ababa after 1-4 weeks of sampling at distant locations. <strong>Soil physical characteristics</strong> The soil samples were air-dried, homogenized, and subjected to oven-drying at 105\u00b0C until constant mass. Total bulk density was determined using the total dry mass and volume of the composite samples. Organic carbon content (C % by wet oxidation method), and soil physical characteristics: moisture content, bulk density of the total sample, and bulk density of fine fraction (particles passing the 2 mm sieve). The mass of the coarse fraction was weighed. The soil fine fraction was also subjected to laser diffraction for more accurate particle size analysis for proportions of clay, silt, and sand. In addition to this 28 samples were also analyzed for C content in the laboratory of Natural Resources Institute Finland to determine C content by LECO CHN analyzer. This was done to calibrate the bulk of wet digestion-based estimates (Fig. 1). Before analysis, the soils were tested for the presence of inorganic C. For Figure 1. See Soil_C_Ethiopia.pdf <strong>Figure 1</strong>. Comparison of results from wet oxidation (Walkley-Black) and dry oxidation (CHN analyzer). The dotted line shows the theoretical 1:1 match between the axis, the solid line shows linear regression (intercept = 0) between the methods. The estimated slope value of 1.165 was used in adjusting the wet digestion results to match those obtained by dry oxidation: OC<sub>adj</sub> = 1.165 * OC<sub>wet</sub>. Based on a linear regression between the wet and dry oxidation analysis results, a correction factor of 1.165 was applied to adjust the organic C% obtained by wet digestion. The adjusted data are shown in the file \u201cSOC_Ethiopia_2017-2018.csv\u201d. SOC stocks were calculated by multiplying the proportion of organic C with BD of fine earth, after which the result was corrected for stoniness, a visually estimated proportion of large stones (S, value from 0 to 1) in the soil profile that could not be included in the volumetric soil samples (FAO VS-FAST).  (SOCstock = C_{org} * BD_{fe} * (1-S) ) <strong>Soil organic carbon stock data</strong> <strong>Files: \u201cSOC_Ethiopia_2017-2018.csv\u201d and \u201cSOC_Ethiopia_2017-2018.xlsx\u201d</strong> The file includes soil characteristics from layers of 0-10 cm, 10-20 cm, and 20-30 cm below the loose organic layer on top of the soil. The data are used for SOC stock estimation in the respective layers as described above. In the .csv file individual columns are for <strong>LAT</strong> is the latitude of the sampling site corresponding to <strong>FieldCode</strong> and <strong>SU_nr</strong> <strong>LON</strong> is the longitude of the sampling site corresponding to <strong>FieldCode</strong> and <strong>SU_nr</strong> The coordinates are expressed as decimal degrees of the WGS84 system <strong>FieldCode </strong>refers to the Region and Sampling Unit number of the Ethiopian NFI (see below) <strong>SU_nr </strong>is the Sampling Unit number of the Ethiopian NFI <strong>Region </strong>is the name of the administrative region where the sample was taken <strong>Biome </strong>is the name of the forest biome type where the sample was collected <strong>BiomeSimplified </strong>is the name of a biome with some close types combined <strong>DepthRange </strong>is the upper and lower limit of the soil sample in the field, cm <strong>StoninessVFAST </strong>is a percentage of stones (VS-FAST by FAO) in the ca. 40 cm deep soil profile exposed during the sampling <strong>FreshMassInField </strong>is the mass of the total composite soil sample of the given layer, g, primarily indicative of checking the correct number of subsamples in composite <strong>NrComposites </strong>is the number of subsamples included in the composite for each soil layer <strong>CorerVolume </strong>is a constant of 107.5 cm<sup>3</sup> because only one type of corer was used for undisturbed, volumetric sampling <strong>CompositeVolume </strong>is the volume of the composite sample for each soil depth layer <strong>CoarseFractionMass </strong>is the dry mass, g of soil particles &gt; 2mm that did not pass the sieve, but were included in the sample volume <strong>FE_DryMass </strong>is oven-dry mass, g of the fine fraction that passed the 2 mm sieve. <strong>BDtot </strong>is total bulk density, g m<sup>-3</sup>, calculated for the composite sample <strong>BDfe </strong>is the bulk density of the fine earth fraction, g m<sup>-3</sup> <strong>OC_adj</strong> is organic carbon (OC) content (%) in the composite sample, adjusted according to the comparison between dry and wet oxidation methods (Fig. 1) <strong>SOCfe </strong>is SOC stock calculated for soil fine earth fraction, t ha<sup>-1</sup> in the 10 cm deep soil layer <strong>SOCfe_stoniness</strong> is SOC stock of the fine earth fraction, t ha<sup>-1</sup> in the 10 cm deep soil layer, adjusted for stoniness. The correction assumes that the volume occupied by larger stones would be void of OC. <strong>Litter stock data</strong> <strong>File: \u201cLitter_Ethiopia_2017-2018.csv\u201d</strong> The file includes measurements of litter layer on Ethiopian NFI Sampling Unit (SU) sites where sampling for SOC stock determination was done. The depth of the litter layer was measured in the SU\u2019s of the NFI, and this data contains in addition to depth also a volumetric sample of the litter layer. The dry bulk density was used to calculate the carbon stocks in the litter pool. The depth of the litter layer was measured in the field. Litter from the respective spot was sampled quantitatively from a frame of 0.01m<sup>2</sup> of area for litter dry mass estimate. The organic C stock in a litter (L) was calculated as,  (L = {M over z} * {C_{om} over A},  ) where <em>M</em> = Dry mass of the litter sample, g <em>z</em> = Depth of the litter layer in the field, m <em>C<sub>om</sub></em> = Conversion factor from dry organic matter to carbon (C), 0.5 <em>A</em> = area of quantitative collection of litter (0.01 m<sup>2</sup>) In the .csv file individual columns are for <strong>LAT, LON</strong> is the GPS coordinates (decimal degrees of WGS84) for the Sampling Units (<strong>SU_ID</strong>) <strong>SU_ID</strong> is the Sampling Unit identification number of the Ethiopian NFI <strong>FieldCode </strong>refers to the Region and Sampling Unit number of the Ethiopian NFI (see below) <strong>Region </strong>is the name of the administrative region where the sample was taken <strong>Litter_dry</strong> is the dry mass, g of the litter sample <strong>Area_m2</strong> is the area, m<sup>2</sup> of litter sampling <strong>MeanLitterDepth </strong>is the mean depth of the litter layer at the sampling area <strong>CDensityLitter </strong>is the dry bulk density of the litter, g m<sup>-2</sup> multiplied by the assumed organic C proportion of the oven-dry litter materials (0.50) <strong>LitterCStock_tha</strong> is the litter stock, t ha<sup>-1</sup> calculated from the C density of the litter layer <strong>Litter bag data (decomposition and quality)</strong> The leaves and twigs were sampled from 2 species (Juniperus and Podocarpus) and 3 locations of the elevation gradient in the Chilimo forest (Table 1). The forest was considered an old-growth with <em>Juniperus procera</em> and <em>Podocarpus falcatus</em>being the main species forming the tree canopy. The sites form an elevation gradient (Table 1). Table 1. Geographical locations of the study sites in the Chilimo forest. id Latitude (deg.) Longitude (deg.) Elevation (m a.s.l) 1 9.0672 38.1443 2500 2 9.0712 38.1556 2670 3 9.0869 38.1684 2800 The dying and dead leaves were sampled directly from the trees later referred to as \u201cfresh\u201d and from the branches found on the ground, referred to as \u201cold\u201d. The old leaves were assumed to be dead for around 3 months. The diameter of the branches/twigs was less than 1 cm in diameter. The samples were first sorted and air-dried in an elevated temperature of the greenhouse and thereafter oven-dried in the oven overnight at 45 \u00b0C. The samples were analyzed for acid, water, ethanol dissolved,and undissolved fractions (AWEN) (Table 2) and for the decomposition rates of the litter installed into the litter bags corresponding to each of the Chilimo sites. Table 2. Acid, water, ethanol (A, W, E, respectively) dissolved and undissolved fractions (N) from the litter components of the dominant tree species in the Chilimo forest. Litter type Species A W E N leaves fresh <em>Juniperus </em> 0.45 0.13 0.1 0.33 leaves fresh <em>Podocarpus </em> 0.42 0.28 0.05 0.25 leaves old <em>Juniperus </em> 0.44 0.07 0.08 0.41 leaves old <em>Podocarpus </em> 0.44 0.09 0.05 0.42 twigs <em>Juniperus </em> 0.61 0.04 0.02 0.32 twigs <em>Podocarpus </em> 0.56 0.15 0.02 0.27 A sufficient amount of litter was placed into the litter bags (polyurethane mesh 1 mm) and the mesh bags were installed on top of the soil surface under the forest canopy (later referred to as \u201ccanopy\u201d) and in the forest gap caused by harvesting (later referred as \u201copen\u201d). The installation of the litter bags (for each species 3 replicates of each litter type for each site and canopy type for the 3 periods, in total 12 litter bags for leaves and 6 bags for twigs) was done on 22.9.2017. The mesh bags were left on the ground, protected from grazing by the fence, and retrieved subsequently on 12.10.2017, 31.10.2017, and 12.12.2017. Despite the efforts took few samples were lost. The retrieved samples were oven-dried and initial mass and mass loss data for each period and litter type with a detailed description of the variables can be found in the file \u201clitter.chilimo_07.02.22.xlsx\u201d. <strong>Soil temperature data</strong> During the period from 22.9.2017 to 12.12.2017, we monitored the soil temperature at 5 cm depth under the canopy and in the open canopy on all Chilimo sites continuously every 4 hours intervals with the Maxim iButton temperature loggers. However, some sensors were lost. Daily means and their standard deviation of the continuous temperatures can be found in the file \u201csoil.temp.chilimo_07.02.22.xlsx\u201d. <strong>Processed weather data</strong> The air temperature and precipitation data for 98 sampling units corresponding to soil carbon data originated from 73 weather stations located across Ethiopia and were obtained from Ethiopian Meteorological Agency (http://www.ethiomet.gov.et/). Sampling units were joined with weather data by the closest proximity to their corresponding weather stations. Precipitation was unaltered. The air temperature required correction by elevation is described in more detail in Lehtonen et al. (2020). The monthly values of air temperature and precipitation with an accompanied readme description of the variables can be found for 98 sampling units in the file \u201csampling.units98_meteo_07.02.22.xlsx\u201d and the Chilimo study sites in the file \u201cmonthly.weather.chilimo_07.02.22.xlsx\u201d. The monthly values in the file 'sampling.units98_meteo_07.02.22.xlsx' correspond to long-term average over the period from 1986 to 2017. <strong>References:</strong> Lehtonen, A., \u0164upek, B., Nieminen, T.M., Bal\u00e1zs, A., Anjulo, A., Teshome, M., Tiruneh, Y. and Alm, J., 2020. Soil carbon stocks in Ethiopian forests and estimations of their future development under different forest use scenarios. <em>Land Degradation &amp; Development</em>, <em>31</em>(18), pp.2763-2774. FRL 2017. https://redd.unfccc.int/files/ethiopia_frel_3.2_final_modified_submission.pdf", "keywords": ["2. Zero hunger", "REDD", " soil carbon stock", " litter bag studies", " Ethiopia", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Alm, Jukka, \u0164upek, Boris, Anjulo, Agena, Teshome, Mindaye, Tiruneh, Yibeltal, Abay, Abebe, Alebachew, Mehari, Tervahauta, Arja, Lehtonen, Aleksi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6566752"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6566752", "name": "item", "description": "10.5281/zenodo.6566752", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6566752"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.6574829", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Soil bulk density [10x kg/m3] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe", "description": "Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl &amp; MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale. The short description of currently available soil properties: db_od = bulk density over dry [kg/m3 \u2a09 10]; Soil properties were predicted at fixed depths: Surface soil = s0..0cm,<br> Subsoil 1 = s30..30cm,<br> Subsoil 2 = s60..60cm,<br> Subsoil 3 = s100..100cm. To produce estimates for depth intervals e.g. 0\u201330 cm, 0\u2013100 cm best use the trapezoidal rule formula. Periods: 2000 (2000\u20132003), 2004 (2004\u20132007), 2008 (2008\u20132011), 2012 (2012\u20132015), 2016 (2016\u20132019), 2020; The bulk density maps are also provided in 10 kg / m-cubic to reduce total data size; to convert values to kg / m-cubic multiply by 10 e.g. 120 = 1200 kg / m-cubic = 1.2 t / m-cubic.", "keywords": ["2. Zero hunger", "Europe", "15. Life on land", "pedometrics", "soil bulk density"], "contacts": [{"organization": "Hengl, T., Parente, L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6574829"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6574829", "name": "item", "description": "10.5281/zenodo.6574829", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6574829"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6540710", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Revised database of the Soil Information System of Latin America and the Caribbean, SISLAC", "description": "This dataset contains the revised version of the SISLAC database in three formats: comma-separated values (.csv), microsoft access (.mdb) and PostGIS database (.backup). This database was reviewed and the inconsistencies found in the profiles and in the description of their horizons were corrected. Consists of two tables, one for the description of the profiles and the other with the description of the horizons and their properties. The key field between both tables is the profile identifier, column <strong><em>profile_id</em></strong>.", "keywords": ["organic carbon", "soil profiles", "15. Life on land"], "contacts": [{"organization": "D\u00edaz-Guadarrama, Sergio, Guevara, Mario,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6540710"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6540710", "name": "item", "description": "10.5281/zenodo.6540710", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6540710"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6574816", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Soil clay content [%] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe", "description": "Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl &amp; MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale. The short description of currently available soil properties: clay.tot = clay content [percent]; Soil properties were predicted at fixed depths: Surface soil = s0..0cm,<br> Subsoil 1 = s30..30cm,<br> Subsoil 2 = s60..60cm,<br> Subsoil 3 = s100..100cm. To produce estimates for depth intervals e.g. 0\u201330 cm, 0\u2013100 cm best use the trapezoidal rule formula. Periods: 2000 (2000\u20132003), 2004 (2004\u20132007), 2008 (2008\u20132011), 2012 (2012\u20132015), 2016 (2016\u20132019), 2020;", "keywords": ["Europe", "13. Climate action", "clay content", "15. Life on land", "pedometrics"], "contacts": [{"organization": "Hengl, T., Parente, L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6574816"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6574816", "name": "item", "description": "10.5281/zenodo.6574816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6574816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6574843", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Soil pH in H2O [-] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe", "description": "Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl &amp; MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale. The short description of currently available soil properties: soil pH in H2O; Soil properties were predicted at fixed depths: Surface soil = s0..0cm,<br> Subsoil 1 = s30..30cm,<br> Subsoil 2 = s60..60cm,<br> Subsoil 3 = s100..100cm. To produce estimates for depth intervals e.g. 0\u201330 cm, 0\u2013100 cm best use the trapezoidal rule formula. Periods: 2000 (2000\u20132003), 2004 (2004\u20132007), 2008 (2008\u20132011), 2012 (2012\u20132015), 2016 (2016\u20132019), 2020;", "keywords": ["Europe", "soil pH", "13. Climate action", "15. Life on land", "pedometrics"], "contacts": [{"organization": "Hengl, T., Parente, L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6574843"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6574843", "name": "item", "description": "10.5281/zenodo.6574843", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6574843"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6584980", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Dataset of Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities", "description": "Data used in the article: <strong>Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities</strong> <strong>Abstract</strong> 1- Climate models forecast changes in the amounts and distribution of rain, which may affect ecosystems worldwide, especially in drylands where water is already the limiting factor for plant life. Annual plant communities are common in drylands where they can complete their entire life cycle during the rainy period while avoiding the dry season. Moreover, seed dormancy allows them to disperse over time by remaining in the seed bank for long periods. However, the extent to which these communities will be able to tolerate increasing drought is uncertain. 2- We performed a five-year rainfall reduction treatment under field conditions and determined its effects on annual plant communities in a Mediterranean gypsum ecosystem. We assessed the taxonomic, functional, and phylogenetic diversity of these communities each year for five years. 3-The taxonomic and functional diversity decreased under the rainfall reduction treatment whereas the phylogenetic diversity increased. Moreover, the relative importance of species with drought-resistant functional designs increased in the community assemblages. However, after a rainy season with above average rainfall, all of the diversity values recovered completely even under the rainfall reduction treatment. 4- Our results provide important insights into the responses of these plant communities under a climate change scenario, where they indicate high losses of diversity during drought events but rapid recovery in milder years. <em>Synthesis</em> Our findings highlight the great resilience of annual plant communities in drylands, which may allow them to tolerate increased drought under the present climate change scenario.", "keywords": ["2. Zero hunger", "Rain shelters", "Drought", "13. Climate action", "Gypsum soils", "Annual communities", "15. Life on land", "6. Clean water", "Functional traits", "Mediterranean drylands", "Phylogenetic diversity"], "contacts": [{"organization": "L\u00f3pez-Rubio, Roberto, Pescador, David S., Escudero, Adri\u00e1n, S\u00e1nchez, Ana M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6584980"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6584980", "name": "item", "description": "10.5281/zenodo.6584980", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6584980"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-27T00:00:00Z"}}, {"id": "10.5281/zenodo.6611475", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Large dataset of soil organic carbon and topographic derivatives", "description": "Embargo<strong>Abstract</strong>: The dataset compiles 840 georeferenced SOC measurements over a 26-ha agricultural field located in southern Ontario, Canada with a sampling density of ~32 points per ha. As SOC is influenced by site topography (i.e., slope and landscape position), each point of the database was associated with a wide range of topographic derivatives. The columns include sample ID, SOC measurement, latitude, Longitude, NDVI values, as well as a set of 54 topographic derivatives (i.e., primary and secondary - see metadat.pdf attached file) with a spatial resolution of a 5 m.", "keywords": ["2. Zero hunger", "Keywords: Soil Organic Carbon dataset", " LiDAR", " topographic derivatives", " southern Ontario", " Canada", " digital soil mapping", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Laamrani Ahmed, Voroney Paul, Saurette Daniel, D., Berg Aaron, Blackburn Line, Gillespie Adam, Martin Ralph, C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6611475"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6611475", "name": "item", "description": "10.5281/zenodo.6611475", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6611475"}, {"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": "21.11116/0000-0005-8A29-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:03Z", "type": "Journal Article", "created": "2019-04-09", "title": "Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model", "description": "Abstract<p>We evaluated global soil organic carbon (SOC) stocks and turnover time predictions from a global land model (ELMv1\uffe2\uff80\uff90ECA) integrated in an Earth System Model (E3SM) by comparing them with observed soil bulk and \uffce\uff9414C values around the world. We analyzed observed and simulated SOC stocks and \uffce\uff9414C values using machine learning methods at the Earth System Model grid cell scale (~200\uffc2\uffa0km). In grid cells with sufficient observations, the model provided reasonable estimates of soil carbon stocks across soil depth and \uffce\uff9414C values near the surface but underestimated \uffce\uff9414C at depth. Among many explanatory variables, soil albedo index, soil order, plant function type, air temperature, and SOC content were major factors affecting predicted SOC \uffce\uff9414C values. The influences of soil albedo index, soil order, and air temperature were primarily important in the shallow subsurface (\uffe2\uff89\uffa430\uffc2\uffa0cm). We also performed sensitivity studies using different vertical root distributions and decomposition turnover times and compared to observed SOC stock and \uffce\uff9414C profiles. The analyses support the role of vegetation in affecting soil carbon turnover, particularly in deep soil, possibly through supplying fresh carbon and degrading physical\uffe2\uff80\uff90chemical protection of SOC via root activities. Allowing for grid cell\uffe2\uff80\uff90specific rooting and decomposition rates substantially reduced discrepancies between observed and predicted \uffce\uff9414C values and SOC content. Our results highlight the need for more explicit representation of roots, microbes, and soil physical protection in land models.</p", "keywords": ["2. Zero hunger", "advanced land modeling", "Earth System Models", "3706 Geophysics (for-2020)", "15. Life on land", "01 natural sciences", "Climate Action", "soil organic carbon", "Geophysics", "37 Earth Sciences (for-2020)", "machine learning", "statistical analysis", "13. Climate action", "0404 Geophysics (for)", "Earth Sciences", "radiocarbon", "13 Climate Action (sdg)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JG004795"}, {"href": "https://escholarship.org/content/qt4h72t9fq/qt4h72t9fq.pdf"}, {"href": "https://doi.org/21.11116/0000-0005-8A29-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-0005-8A29-2", "name": "item", "description": "21.11116/0000-0005-8A29-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0005-8A29-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.6584981", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Dataset of Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities", "description": "Data used in the article: <strong>Rainy years counteract negative effects of drought on taxonomic, functional, and phylogenetic diversity: resilience in annual plant communities</strong> <strong>Abstract</strong> 1- Climate models forecast changes in the amounts and distribution of rain, which may affect ecosystems worldwide, especially in drylands where water is already the limiting factor for plant life. Annual plant communities are common in drylands where they can complete their entire life cycle during the rainy period while avoiding the dry season. Moreover, seed dormancy allows them to disperse over time by remaining in the seed bank for long periods. However, the extent to which these communities will be able to tolerate increasing drought is uncertain. 2- We performed a five-year rainfall reduction treatment under field conditions and determined its effects on annual plant communities in a Mediterranean gypsum ecosystem. We assessed the taxonomic, functional, and phylogenetic diversity of these communities each year for five years. 3-The taxonomic and functional diversity decreased under the rainfall reduction treatment whereas the phylogenetic diversity increased. Moreover, the relative importance of species with drought-resistant functional designs increased in the community assemblages. However, after a rainy season with above average rainfall, all of the diversity values recovered completely even under the rainfall reduction treatment. 4- Our results provide important insights into the responses of these plant communities under a climate change scenario, where they indicate high losses of diversity during drought events but rapid recovery in milder years. <em>Synthesis</em> Our findings highlight the great resilience of annual plant communities in drylands, which may allow them to tolerate increased drought under the present climate change scenario.", "keywords": ["2. Zero hunger", "Rain shelters", "Drought", "13. Climate action", "Gypsum soils", "Annual communities", "15. Life on land", "6. Clean water", "Functional traits", "Mediterranean drylands", "Phylogenetic diversity"], "contacts": [{"organization": "L\u00f3pez-Rubio, Roberto, Pescador, David S., Escudero, Adri\u00e1n, S\u00e1nchez, Ana M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6584981"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6584981", "name": "item", "description": "10.5281/zenodo.6584981", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6584981"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-27T00:00:00Z"}}, {"id": "10.5281/zenodo.6620538", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "Data to support the publication The use of Twitter for knowledge exchange on sustainable soil management", "description": "5 farmer semi-structured interviews", "keywords": ["2. Zero hunger", "Social media", "Knowledge exchange", "Twitter", "Sustainable soil management", "15. Life on land", "Twitter", " social media", " sustainable soil management", " knowledge exchange"], "contacts": [{"organization": "Mills, Jane, Skaalsveen, Kamilla,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6620538"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6620538", "name": "item", "description": "10.5281/zenodo.6620538", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6620538"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "10.5281/zenodo.6640246", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:57Z", "type": "Dataset", "title": "GSHP: Global database of soil hydraulic properties", "description": "A total of 15,259 SWCCs from 2,702 sites were assembled from published literature and other sources, standardized, and quality-checked to obtain global database of soil hydraulic properties (GSHP). The GSHP database covers most regions across the globe, with the highest number of curves from North America followed by Africa, Europe, Asia, South America, Australia/Oceania. In addition to SWCCs, other soil variables such as soil texture (12,233 measurements), bulk density (15,125 measurements), and soil organic carbon (2,255 measurements) are also listed in the database. The R code used for this study is available here: https://github.com/ETHZ-repositories/GSHP-database For more details / to cite this dataset please use: Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., and Or, D., (2022): Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization\u201d. Manuscript accepted to <strong>Scientific Data.</strong> Examples of using the GSHP database to generate van Genuchten parameters maps can be found in 10.5281/zenodo.6343570. <strong>Description of the files</strong>: The datasets in this repository include: <strong>WRC_dataset_surya_et_al_2021_final </strong>provides a global compilation of soil hydraulic properties and the information described in the<strong> Readme_GSHP file</strong>. <strong>Dataset_notebook </strong>shows the graphical representation of the GSHP database. The study was supported by ETH Zurich (Grant ETH-18 18-1).", "keywords": ["13. Climate action", "Life Science", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, Or, Dani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6640246"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6640246", "name": "item", "description": "10.5281/zenodo.6640246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6640246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.6656537", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:57Z", "type": "Software", "title": "Map topsoil phosphorus content", "description": "For the initialization of the soil nutrient content the SWAT+ model requires the labile phosphorus (P) content of the surface layer. Measured soil P content is often not available for most of the catchment areas. However it is an important input data to analyse the nutrient retention. As the LUCAS Topsoil Survey dataset (T\u00f3th et al., 2013, Jones et al. 2015) contains measured Olsen-P content data of about 20.000 soil samples in Europe, it can be used to derive approximate maps of soil P content for data scarce areas. This simple method can be applied to produce Olsen-P maps for any European catchments for which the LUCAS Topsoil dataset is relevant. Further required data are the harmonized version of the LUCAS Land Use / Cover Area Frame Survey (d\u2019Andrimont et al., 2020), European agro-climate zone map (Ceglar et al., 2019) and the land use or land cover map of the target area. If national data on soil P content is available, that could be used further to or instead of the LUCAS Topsoil Survey dataset, after transforming the values into Olsen-P content. References: d\u2019Andrimont, R., Yordanov, M., Martinez-Sanchez, L., Eiselt, B., Palmieri, A., Dominici, P., Gallego, J., Reuter, H.I., Joebges, C., Lemoine, G. &amp; van der Velde, M. 2020. Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union. Scientific Data, 7, 1\u201315. Ceglar, A., Zampieri, M., Toreti, A. &amp; Dentener, F. 2019. Observed Northward Migration of Agro-Climate Zones in Europe Will Further Accelerate Under Climate Change. Earth\u2019s Future, 7, 1088\u20131101. Jones, A, Fernandez-Ugalde, O., Scarpa, S. LUCAS 2015 Topsoil Survey. Presentation of dataset and results, EUR 30332 EN, Publications Office of the European Union: Luxembourg. 2020, ISBN 978-92-76-21080-1, doi:10.2760/616084, JRC121325 T\u00f3th, G., Jones, A., Montanarella, L. (eds.) 2013. LUCAS Topsoil Survey. Methodology, data and results. JRC Technical Reports. Luxembourg. Publications Office of the European Union, EUR26102 \u2013 Scientific and Technical Research series \u2013 ISSN 1831-9424 (online); ISBN 978-92-79-32542-7; doi: 10.2788/97922", "keywords": ["13. Climate action", "15. Life on land", "16. 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