{"type": "FeatureCollection", "features": [{"id": "10261/339529", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:50Z", "type": "Report", "title": "Understanding the measurements and variability of aerosol optical properties in NE Spain", "description": "Open Access[spa] Los aerosoles atmosf\u00e9ricos resultan claves a la hora de regular el clima de la Tierra, con un efecto sobre el clima estimado de enfriamiento a nivel global, si bien con una alta incertidumbre en su valor exacto. Es por ello necesario reducir dichas incertidumbres, principalmente asociadas a la alta variabilidad y heterogeneidad de su distribuci\u00f3n espacial y temporal, las m\u00faltiples especies de aerosoles con diferentes propiedades f\u00edsico-qu\u00edmicas, y los errores de medida. Las especies de aerosoles m\u00e1s relevantes debido a su efecto en el calentamiento del clima son el carbono negro (BC), la fracci\u00f3n absorbente de los aerosoles org\u00e1nicos (OA), i.e. carbono marr\u00f3n (BrC), y, potencialmente, el polvo mineral. Para el estudio de las propiedades \u00f3pticas de los aerosoles, esta tesis se ha centrado en un \u00e1rea con una gran variabilidad de fuentes de emisi\u00f3n de aerosoles de origen natural (biog\u00e9nicos, incendios, polvo mineral, sal marina) y antropog\u00e9nico (tr\u00e1fico, industria, viviendas, portuario, etc.) en el Mediterr\u00e1neo, en el NE de Espa\u00f1a. Esta \u00e1rea presenta una orograf\u00eda compleja que en combinaci\u00f3n con patrones atmosf\u00e9ricos que promueven los sistemas de brisas favorece la recirculaci\u00f3n de los aerosoles, generando m\u00faltiples capas de aerosoles. Adem\u00e1s, dichos escenarios pueden verse tambi\u00e9n influidos por la presencia de advecci\u00f3n de polvo mineral desde el N de \u00c1frica, contribuyendo significativamente a la concentraci\u00f3n de material particulado y afectando las propiedades \u00f3pticas. Con el fin de mejorar la caracterizaci\u00f3n de las propiedades \u00f3pticas del BC, el BrC y el polvo mineral en el NE de Espa\u00f1a, esta tesis ha llevado a cabo una serie de estudios centrada en: i) la mejora de la medida de la absorci\u00f3n analizando a trav\u00e9s de un m\u00e9todo novedoso el comportamiento de un par\u00e1metro clave para su obtenci\u00f3n mediante el aethalometro AE33, ii) la descripci\u00f3n de la variaci\u00f3n vertical de las propiedades f\u00edsico- qu\u00edmicas de los aerosoles atmosf\u00e9ricos durante eventos de recirculaci\u00f3n e intrusiones de polvo mineral el verano de 2015 a trav\u00e9s de la combinaci\u00f3n de vuelos instrumentados y medidas en las estaciones de medida, iii) el efecto de la mezcla de OA y aerosoles inorg\u00e1nicos con part\u00edculas de BC en su absorci\u00f3n, y iv) las propiedades \u00f3pticas del polvo mineral en una fuente de emisi\u00f3n en el Sahara seg\u00fan la intensidad de emisi\u00f3n.", "keywords": ["Aerosols", "Dispersi\u00f3 de la llum", "CIENCIAS DE LA ATMOSFERA", "Climatolog\u00eda general", "Meteorolog\u00eda", "Atmospheric physics", "F\u00edsica atmosf\u00e9rica", "Light scattering", "Optics", "Dust", "535", "Absorci\u00f3 de la llum", "\u00d2ptica", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat\u00a0desertification", " and halt and reverse land degradation and halt biodiversity loss", "Ci\u00e8ncies Experimentals i Matem\u00e0tiques", "Absorci\u00f3n de la luz", "Polvo", "\u00d3ptica atmosf\u00e9ric", "F\u00edsica atmosf\u00e8rica", "Aerosoles", "Pols", "http://metadata.un.org/sdg/15", "Dispersi\u00f3n de la luz", "Light absorption", "\u00d3ptica"], "contacts": [{"organization": "Yus D\u00edez, Jes\u00fas", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/339529"}, {"rel": "self", "type": "application/geo+json", "title": "10261/339529", "name": "item", "description": "10261/339529", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/339529"}, {"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": "10.1515/mgr-2017-0012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:20:57Z", "type": "Journal Article", "created": "2017-11-03", "title": "The geography of urban agriculture: New trends and challenges", "description": "Abstract                <p>In the article, which is a theoretical and conceptual introduction for the Special Issue of Moravian Geographical Reports on \uffe2\uff80\uff98New trends and challenges of urban agriculture in the context of Europe\uffe2\uff80\uff99, the authors resume and review diverging issues of urban agriculture, exploring and discussing them from a geographical perspective and in a wider context of the transformation of urban and rural spaces, urban regeneration and renewal, agricultural restructuring, multifunctionality, ecosystem services, land-use conflicts and social responsibility. After the introduction that depicts a changing role of agriculture in the context of urban and rural transformations, the current research on urban agriculture in Europe is summarised and reviewed. Then the main trends and concepts of growing and expanding urban agriculture are presented and discussed with a special emphasis on the challenges these pose to geographers.</p", "keywords": ["2. Zero hunger", "peri-urban agriculture", "Geography (General)", "Agricultura", "food gardening", "0211 other engineering and technologies", "02 engineering and technology", "urban agriculture", "15. Life on land", "Urbanismo", "12. Responsible consumption", "urban farming", "13. Climate action", "11. Sustainability", "G1-922", "food production", "europe"]}, "links": [{"href": "https://doi.org/10.1515/mgr-2017-0012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Moravian%20Geographical%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1515/mgr-2017-0012", "name": "item", "description": "10.1515/mgr-2017-0012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1515/mgr-2017-0012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "10.15468/dl.5q7pcw", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2024-03-28", "title": "Occurrence Download", "description": "A dataset containing 69 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Leucheria suaveolens (d'Urv.) Skottsb.'  ] }   The dataset includes 69 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048002-240321170329656/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.5q7pcw"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.5q7pcw", "name": "item", "description": "10.15468/dl.5q7pcw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.5q7pcw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.k73sg3", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:05Z", "type": "Dataset", "created": "2023-06-24", "title": "Occurrence Download", "description": "A dataset containing 1828332 species occurrences available in GBIF matching the query: (Query is too complex. Can be viewed on the landing page)   The dataset includes 1828332 records from 4654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044185-230530130749713/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.k73sg3"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.k73sg3", "name": "item", "description": "10.15468/dl.k73sg3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.k73sg3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.15468/dl.4xffpl", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2017-01-11", "title": "Occurrence Download", "description": "A dataset containing 160 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Illadopsis rufescens (Reichenow, 1878)'  ] }   The dataset includes 160 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050818-160910150852091/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "15. Life on land", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.4xffpl"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.4xffpl", "name": "item", "description": "10.15468/dl.4xffpl", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.4xffpl"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.15454/9RDHIN", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French soil samples near infrared spectroscopy measurements and associated physico-chemical reference analysis.", "description": "This dataset presents near infrared spectra of soil samples from the experimental INRAE stations of the CAREX network including Auzeville, Epoisses, Crouel, Theix, Lusignan, Lusignan_Oasys and Ploudaniel sites (n=1040). Spectra data were acquired using a near infrared spectrometer BUCHI at Laboratoire d'Analyses des sols (LAS), Arras. The granulometric fractions and chemical properties measurements are available with their uncertainties. The tables of NIR spectra and chemical analysis and granulometry of soils from Is\u00e8re (n=28) and from Plaine_de_Versailles (n=99) locations were added. The details of the transformed NIR spectra table of Plaine_de_Versailles are available at https://doi.org/10.15454/LXKFAS.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Chemistry and chemical engineering", "Chemiometrics", "15. Life on land", "Construction Engineering and Architecture", "Chemistry", "Soil", "Engineering", "Earth and Environmental Sciences", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Near Infrared spectroscopy"], "contacts": [{"organization": "Thoisy, Jeanne, Mistou, Marie-Noel, Latrille, Eric, Etayo, Amandine, Rossard, Virginie, Fouad, Youssef, Girardin, Cyril, Gog\u00e9, Fabien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/9RDHIN"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/9RDHIN", "name": "item", "description": "10.15454/9RDHIN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/9RDHIN"}, {"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": "10.15468/dl.as9p9j", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2022-11-15", "title": "Occurrence Download", "description": "A dataset containing 22 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Zeuzera indica Herrich-Sch\u00e4ffer, 1854'  ] }   The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165763-220831081235567/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.as9p9j"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.as9p9j", "name": "item", "description": "10.15468/dl.as9p9j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.as9p9j"}, {"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": "10.15376/biores.11.1.1585-1595", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2016-02-19", "title": "Pigeon Pea Biochar As A Soil Amendment To Repress Copper Mobility In Soil And Its Uptake By Spinach", "description": "A pot crop experiment was conducted to study the effect of biochar on Cu mobility in a soil-plant system. Pigeon pea biochar was prepared by slow pyrolysis at 300 \u00b0C. The experiment had three levels of Cu (0, 250, and 500 mg Cu kg-1 soil) and three levels of biochar (0, 2.5, and 5 g kg-1 soil), using spinach as the test crop. The dry matter yield of edible spinach leaf decreased by 16.7% and 27.9% at 250 and 500 mg Cu kg-1 soil concentration, respectively. The soil organic carbon (SOC) increased by 27.08% and 45.83% at 2.5 and 5 g kg-1 soil application of biochar, respectively. Cu mobility in soil was significantly reduced as a result of biochar application, as evident from the reduction in DTPA extractable Cu in soil, the transfer coefficient value (soil to plant), and the Cu concentration in the leaf and root. The increases in SOC and pH in the biochar amended soil affect copper dynamics because they control adsorption and precipitation on solid phase. Cu has higher affinity towards SOC and makes stable complexes, thereby decreasing the Cu mobility in soil. Adsorption and precipitation of heavy metals to solid phases and also increasing the negatively charged functional group due to increase in soil pH resulted in reduction of Cu mobility in soil.", "keywords": ["2. Zero hunger", "Transfer coefficient", "Spinach", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Biochar", "0401 agriculture", " forestry", " and fisheries", "Pigeon pea", "Copper", "TP248.13-248.65", "Biotechnology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.15376/biores.11.1.1585-1595"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BioResources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15376/biores.11.1.1585-1595", "name": "item", "description": "10.15376/biores.11.1.1585-1595", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15376/biores.11.1.1585-1595"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-12-18T00:00:00Z"}}, {"id": "10.15454/KMNR6R", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Depth distribution of soil carbon age inferred from natural 13C labelling meta-analysis", "description": "Depth profiles soil organic carbon turnover estimated by the natural 13C labelling technique. Data have been collected from published articles plus original data (meta-analysis). Dataset contains raw primary data, calculated data and ancillary information analysed and generated during the study: 'Atmosphere-soil carbon transfer as a function of soil depth'", "keywords": ["carbon 13", "Earth and Environmental Science", "Climate", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "stable carbon isotopes", "Biodiversity and Ecology", "carbon cycle", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Biospheric Sciences", "meta-analysis", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences", "meta analysis"], "contacts": [{"organization": "Balesdent, Jerome, Basile-Doelsch, Isabelle, Chadoeuf, Jo\u00ebl, Cornu, Sophie, Derrien, Delphine, Fekiacova, Zuzana, Hatt\u00e9, Christine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/KMNR6R"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/KMNR6R", "name": "item", "description": "10.15454/KMNR6R", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/KMNR6R"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.15454/J9H4BS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Biogeography of soil bacteria and archaea across France", "description": "These data concern the study 'Biogeography of soil bacteria and archaea across France' Karimi B, Terrat S, Dequiedt S, Saby NPA, Horrigue W, Leli\u00e8vre M, Nowak V, Jolivet C, Arrouays D, Wincker P, Cruaud C, Bispo A, Maron PA, Bour\u00e9 NCP, Ranjard L. Sci Adv. 2018 Jul 4;4(7):eaat1808. doi: 10.1126/sciadv.aat1808 and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties, observations on land use, and coordinates. We warn the user that coordinates published here are not the right coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "silt", "Earth and Environmental Science", "cation exchange capacity", "Evapotranspiration", "Soils and soil sciences", "pH", "land use", "clay", "sand", "15. Life on land", "6. Clean water", "soil", "air temperature", "soil organic carbon", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "calcium carbonate", "phosphorus content", "Environmental Research", "Natural Sciences", "Geosciences", "altitude"], "contacts": [{"organization": "Saby, Nicolas, Boulonne, Line, Rati\u00e9, C\u00e9line, Arrouays, Dominique, Chenu, Jean-Philippe, Toutain, Beno\u00eet, Bispo, Antonio, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/J9H4BS"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/J9H4BS", "name": "item", "description": "10.15454/J9H4BS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/J9H4BS"}, {"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": "10.15468/dl.bkckk6", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2024-03-20", "title": "Occurrence Download", "description": "A dataset containing 284 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Erythrocephalum longifolium Benth. ex Oliv.'  ] }   The dataset includes 284 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042858-240314170635999/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.bkckk6"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.bkckk6", "name": "item", "description": "10.15468/dl.bkckk6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.bkckk6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15201/hungeobull.68.2.2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:00Z", "type": "Journal Article", "created": "2019-07-02", "title": "Citizen observatory based soil moisture monitoring \u2013 the GROW example", "description": "GROW Observatory is a project funded under the European Union\u2019s Horizon 2020 research and innovation program. Its aim is to establish a large scale (more than 20,000 participants), resilient and integrated \u2018Citizen Observatory\u2019 (CO) and community for environmental monitoring that is self-sustaining beyond the life of the project. This article describes how the initial framework and tools were developed to evolve, bring together and train such a community; raising interest, engaging participants, and educating to support reliable observations, measurements and documentation, and considerations with a special focus on the reliability of the resulting dataset for scientific purposes. The scientific purposes of GROW observatory are to test the data\u00a0 quality and the spatial representativity of a citizen engagement driven spatial distribution as reliably inputs for soil moisture monitoring and to create timely series of gridded soil moisture products based on citizens\u2019 observations using low cost soil moisture (SM) sensors, and to provide an extensive dataset of in situ soil moisture observations which can serve as a reference to validate satellite-based SM products and support the Copernicus in situ component. This article aims to showcase the initial steps of setting up such a monitoring network that has been reached at the mid-way point of the project\u2019s funded period, focusing mainly on the design and development of the CO monitoring network.", "keywords": ["Planning and Development", "Crowdsourced data", "570", "Geography (General)", "550", "Soil moisture monitoring", "crowdsourced data", "0207 environmental engineering", "/dk/atira/pure/subjectarea/asjc/3300/3305", "02 engineering and technology", "Citizen science", "15. Life on land", "name=General Earth and Planetary Sciences", "name=Geography", "Citizen observatory", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "soil moisture monitoring", "G1-922", "/dk/atira/pure/subjectarea/asjc/1900/1900", "citizen observatory"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "https://doi.org/10.15201/hungeobull.68.2.2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15201/hungeobull.68.2.2", "name": "item", "description": "10.15201/hungeobull.68.2.2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15201/hungeobull.68.2.2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "50|r3c4b2081b22::6929f7a87cac4ca96b30f0a0822ec1db", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:29:25Z", "type": "Dataset", "title": "Spel\u00e4ologische Schutzpunkte", "description": "Open AccessEsta capa muestra la localizaci\u00f3n puntual de los espacios con Protecci\u00f3n por valores Espeleol\u00f3gicos incluidos en el Planeamiento General de los Municipios de la Regi\u00f3n de Murcia, de acuerdo a la Ley del Suelo vigente en el momento de su redacci\u00f3n y aprobaci\u00f3n.", "keywords": ["Espeleolog\u00eda"], "contacts": [{"organization": "Unidad de Informaci\u00f3n Territorial. Consejer\u00eda competente en materia de Ordenaci\u00f3n del Territorio.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|r3c4b2081b22::6929f7a87cac4ca96b30f0a0822ec1db"}, {"rel": "self", "type": "application/geo+json", "title": "50|r3c4b2081b22::6929f7a87cac4ca96b30f0a0822ec1db", "name": "item", "description": "50|r3c4b2081b22::6929f7a87cac4ca96b30f0a0822ec1db", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|r3c4b2081b22::6929f7a87cac4ca96b30f0a0822ec1db"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-15T00:00:00Z"}}, {"id": "10.15302/j-fase-2020323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2020-03-25", "title": "Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective", "description": "Developments in soil biology and in methods to characterize soil organic carbon can potentially deliver novel soil quality indicators that can help identify management practices able to sustain soil productivity and environmental resilience. This work aimed at synthesizing results regarding the suitability of a range of soil biological and biochemical properties as novel soil quality indicators for agricultural management. The soil properties, selected through a published literature review, comprised different labile organic carbon fractions [hydrophilic dissolved organic carbon, dissolved organic carbon, permanganate oxidizable carbon (POXC), hot water extractable carbon and particulate organic matter carbon], soil disease suppressiveness measured using a Pythium-Lepidium bioassay, nematode communities characterized by amplicon sequencing and qPCR, and microbial community level physiological profiling measured with MicroResp<sup>TM</sup>. Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.", "keywords": ["2. Zero hunger", "labile carbon|long-term field experiments|organic matter addition|soil biological indicators|tillage", "Agriculture (General)", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term field experiments", "6. Clean water", "Tillage", "S1-972", "12. Responsible consumption", "13. Climate action", "Soil biological indicators", "Labile carbon", "Organic matter addition", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Bongiorno, Giulia", "roles": ["creator"]}]}, "links": [{"href": "http://journal.hep.com.cn/fase/fileup/2095-7505/PDF/fileup/2095-7505/PDF/26919/1584618502145-2077835878.pdf"}, {"href": "https://doi.org/10.15302/j-fase-2020323"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20of%20Agricultural%20Science%20and%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15302/j-fase-2020323", "name": "item", "description": "10.15302/j-fase-2020323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15302/j-fase-2020323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1525/cond.2012.110186", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2012-11-30", "title": "Effects Of Cattle Grazing And Fire On The Abundance, Habitat Selection, And Nesting Success Of The Bay-Capped Wren-Spinetail (Spartonoica Maluroides) In Coastal Saltmarshes Of The Pampas Region", "description": "Abstract. The Bay-capped Wren-Spinetail (Spartonoica maluroides, Furnariidae) is the most specialized and threatened bird inhabiting Spartina-dominated saltmarshes in southeastern South America. These marshes are being modified at an increasing rate, primarily by cattle grazing and fire, which make this spinetail highly vulnerable. To assess how land use affects the Bay-capped Wren-Spinetail, we estimated its density under different intensities of fire and cattle grazing, studied selection of nesting habitat and nest success, and experimented with nest predation to determine predation rates and types of predators. We found similar population densities, nest microhabitats, and rates of nest predation in marshes with a low intensity of or no grazing. In contrast, the species was absent from marshes with a high intensity of grazing and fire. Nest height was the best predictor of daily survival rates. Nest-predation experiments demonstrated that nest height affects predation intensity and predator type. Our r...", "keywords": ["0106 biological sciences", "Spartina Densiflora", "Spartonoica Maluroides", "Furnariid", "https://purl.org/becyt/ford/1.6", "Nest Predation", "Argentina", "South America", "https://purl.org/becyt/ford/1", "Grassland", "01 natural sciences"], "contacts": [{"organization": "Cardoni, Daniel Augusto, Isacch, Juan Pablo, Iribarne, Oscar Osvaldo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1525/cond.2012.110186"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Condor", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1525/cond.2012.110186", "name": "item", "description": "10.1525/cond.2012.110186", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1525/cond.2012.110186"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-01T00:00:00Z"}}, {"id": "10.15302/j-fase-2014028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2014-10-15", "title": "Estimating The Effect Of Urease Inhibitor On Rice Yield Based On Ndvi At Key Growth Stages", "description": "The effect of the urease inhibitor, N-(n-butyl) thiophosphoric triamide (NBPT) at a range of application rates on rice production was examined in a field experiment at Jinxian County, Jiangxi Province, China. The normalized difference vegetation index (NDVI) was measured at key growth stages in both early and late rice. The results showed that the grain yield increased significantly when urea was applied with NBPT, with the highest yield observed at 1.00% NBPT (wt/wt). NDVI differed with the growth stage of rice; it remained steady from the heading to the filling stage. Rice yield could be predicted from the NDVI taken at key rice growing stages, with R<sup>2</sup> ranging from 0.34 to 0.69 in early rice and 0.49 to 0.70 in late rice. The validation test showed that RMSE (t\u00b7hm<sup>-2</sup>) values were 0.77 and 0.87 in early and late rice, respectively. Therefore, it was feasible to estimate rice yield for different amounts of urease inhibitor using NDVI.", "keywords": ["0106 biological sciences", "2. Zero hunger", "normalized difference vegetation index (NDVI)|N-(n-butyl) thiophosphoric triamide (NBPT)|rice|grain yield", "Agriculture (General)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "S1-972"], "contacts": [{"organization": "Kailou Liu, Yazhen Li, Huiwen Hu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15302/j-fase-2014028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20of%20Agricultural%20Science%20and%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15302/j-fase-2014028", "name": "item", "description": "10.15302/j-fase-2014028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15302/j-fase-2014028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-01T00:00:00Z"}}, {"id": "10.15376/biores.9.1.685-703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2014-08-14", "title": "Effect Of Municipal Biowaste Biochar On Greenhouse Gas Emissions And Metal Bioaccumulation In A Slightly Acidic Clay Rice Paddy", "description": "A field trial was performed to investigate the effect of municipal biowaste biochar (MBB) on rice and wheat growth, metal bioaccumulation, and greenhouse gas emissions in a rice paddy in eastern China. MBB was amended in 2010 before rice transplanting at rates of 0 and 40 t ha-1 in a field experiment lasting one cropping year. MBB soil amendment significantly increased soil pH, total soil organic carbon, and total nitrogen. The growth and grain yield of rice and wheat was not affected with MBB application at 40 t ha-1. MBB amendment did not influence the soil availability of Pb, Cu, and Ni, but significantly increased the soil availability of Zn and decreased the soil availability of Cd during both rice and wheat seasons. While MBB did not change the bioaccumulation of Pb, Cu, and Ni, the rice and wheat Cd accumulation was significantly reduced, and wheat Zn accumulation slightly increased with MBB amendment. Furthermore, total N2O emission during both rice and wheat seasons was greatly decreased, though total seasonal CH4 emission was significantly increased in the rice season. On the other hand, soil CO2 emission remained unaffected across crop seasons. Thus, MBB can be used in rice paddy for low carbon and low-Cd grain production, but the long-term effects remain unknown.", "keywords": ["2. Zero hunger", "04 agricultural and veterinary sciences", "15. Life on land", "Greenhouse gas emission", "6. Clean water", "12. Responsible consumption", "Biochar", "13. Climate action", "Municipal biowaste", "11. Sustainability", "Toxic metals", "0401 agriculture", " forestry", " and fisheries", "Rice paddy", "TP248.13-248.65", "Biotechnology"]}, "links": [{"href": "https://doi.org/10.15376/biores.9.1.685-703"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BioResources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15376/biores.9.1.685-703", "name": "item", "description": "10.15376/biores.9.1.685-703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15376/biores.9.1.685-703"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-12-11T00:00:00Z"}}, {"id": "10.15468/dl.hm0mn5", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2018-09-18", "title": "Occurrence Download", "description": "A dataset containing 54 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Zygaspis violacea (Peters, 1854)'  ] }   The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013275-180824113759888/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.hm0mn5"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.hm0mn5", "name": "item", "description": "10.15468/dl.hm0mn5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.hm0mn5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.15454/8DHNRM", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Inventory of plant vascular community diversity and large herbivore pressure of forest stands in 2013-2014, Sologne, France", "description": "This dataset contains data on vascular plant diversity and community composition of the understory in mature broadleaf and conifer forest stands in the Sologne natural region, Central France. The objectif of the project was to study the effects of large wild ungulates on forest biodiversity using a natural and anthropogenic gradient of ungulate pressure. Study area The study area was located in the Sologne Natural Region in the center of France. Sologne is characterized by flat topography and poor sandy soils on top of an impermeable clay layer, and the area is thus subject to frequent winter floodings and summer droughts are recurrent. The dominate land use is forest (53%), of which the majority is recent forests stemming from spontaneous colonization of abandoned land, but also the result of massive afforestation programs during the second half of the 19th century. Deciduous trees represent approximately 77% of the forest cover (Quercus robur: 39%, Quercus petraea: 14%, Betula pendula 9%), while the remaining 23% is made up of coniferous tree species, mainly Pinus sylvestris (13%). The three most common forest stand compositions are monospecific stands of Q. robur (23%), Q. petraea (9%) and P. sylvestris (9%). In Sologne, population densities of large ungulates (red deer, Cervus elaphus, roe deer, Capreaolus capreolus, and wild boar, Sus scrofa) have shown a marked increase in number during the past decades, as elsewhere in France and Europe. No absolute estimates of ungulate densities are available for the study area, but hunting statistics for the three species are among the highest in France, and hunting bags for the 2004/2005 hunting season for red deer, roe deer and wild boar averaged 0.4 \u00b1 0.5 (mean \u00b1 SD), 1.9 \u00b1 1.4 and 3.7 \u00b1 3.7 individuals per km\u00b2, respectively (source: the French national agency for wildlife, ONCFS). No wild large predators were present in the study area. Sampling design We made use of four fenced, five partially fenced and ten unfenced private forest properties to set up an experimental gradient of wild ungulate densities to test their effects on the structure, composition and diversity of plant communities. We selected private properties with at least 100 ha land and where forest was the dominant land use (60-100% forest). Average area of forest was 295 \u00b1 165 ha (mean \u00b1 SD; range = 91-703) per land property (Appendix 1: Table S1). A preselection of private properties all over the study area was established by contacting the Centre r\u00e9gional de la propri\u00e9t\u00e9 foresti\u00e8re (CRPF) d\u2019Ile-de-France et du Centre (Regional public organizations for private forest owners) who helped out to suggest potential land owners willing to participate to the study. We then set up a list of equal number of fenced and unfenced properties in different parts of the study area. Private land owners were then contacted by telephone in order to obtain their permission to carry out field observations on their land property. We stopped contacting landowners once we had obtained the permission from ten unfenced private properties and that were well spread over the study area. Due to difficulties in obtaining permission from land owners with fenced properties, we did not reach a completely balanced design. A completely random sample of private properties would not have been possible due to the high degree of reluctance among private landowners to give their permission to carry out observations on their land property. For each land property, we randomly assigned five study plots stratified according to the proportion of area of deciduous and coniferous forest stands. A buffer zone of at least 50 m was applied to each forest stand nearby roads and open areas. A field visit was made before final selection to assure that the study plot was not situated in recently harvested forest stands or nearby forest edges (&lt;30 m). We also rejected coppice forest stands. Ungulate pressure data We used the observed intensity of major foraging activities by ungulates (browsing for deer and rooting for wild boar) to situate sampling points along a gradient of increasing ungulate densities. As mark-recapture data was not available for our study sites, we could not base our gradient on absolute ungulate densities, but situate the study sites on a relative scale based on the above-mentioned indices (and detailed below) of ungulate activities. Deer browsing pressure was quantified at each sampling point by comparing forage use and availability based on resource selection theory. Forage use and availability were estimated on winter browse (woody and semi-woody vegetation) accessible to deer (0-2 m) in late winter (March) before the start of the growing season. Forage use and availability were estimated on three 40 m2-circular subplots per study plot, each situated at a distance of 14 m from the center of the study plot. For each species, forage availability was quantified by estimating the percentage of plant cover (i.e. the horizontal projection of shoots, twigs and branches and thus a proxy of the total number of \u201cbites\u201d available), while forage use was quantified by estimating the percentage of available shoots browsed (i.e. the percentage of actual \u201cbites\u201d). Visual estimates of forage use and availability were then attributed to one of six classes (0-1%, 1-5%, 5-20%, 20-50%, 50-75%, 75-100%), converted to mid-point values for statistical analyses. For each circular plot (40 m2), we then calculated a browsing pressure index, B, based on the sum of the forage consumed weighted by forage availability. We then used the mean value of B for the three subplots as a representative measure of browsing pressure at study plot. Wild boar rooting was quantified at the sampling points by visually estimating the percentage of soil disturbed by wild boar rooting behavior. Observations of wild boar rooting were carried out in late winter at the same time as observations of deer browsing and were estimated on the same three circular plots used for estimating deer browsing pressure (40 m2). The mean percentage of wild boar rooting for the three subplots was used as a representative measure of wild boar rooting at the study plot level. Vegetation data At each sampling point, we recorded all vascular plant species according to their presence in two vertical understory vegetation layers. We defined the two vegetation layers in relation to their accessibility to one or both of the two deer species present in our study area: low understory layer accessible both to roe and red deer (up to 130 cm in height) and high understory layer accessible only to red deer (from 130 cm to 200 cm in height). However, the data for the two vegetation layers were merged (see below). We attributed plant cover values, to each species and for each vegetation layer, based on visual estimates to the nearest percent for common species (plant cover &gt;1%) and to the nearest promille for rare species (plant cover &lt;1%). Vegetation sampling was carried out by five experienced botanists (nBot1 = 75, nBot2 = 59, nBot2 = 26, nBot2 = 20, nBot2 = 10) that formed mixed teams composed of two observers (A and B) in order to minimize observer effects. A team was composed of either botanists A (n = 36) or B (n = 20) and any of the other botanists, or both of them (n = 39). In order to harmonize the sampling effort among study plots, teams spent at least 30 minutes of actively searching new species, excluding extra time that was added for species identification problems and estimations of plant cover values. We used a relatively large sample plot size (1 000 m2) as we were interested in capturing not only common but also rare species, while limiting the size in order to include only one forest habitat type. Plant functional traits We used a trait-based approach to determine any correlations between ungulate activities and understory plant community structure, composition and diversity. From the vegetation data, we derived three families of response variables: (i) species density and (ii) plant cover for qualitative traits (including plant functional groups and categorical habitat preferences), and (iii) community-weighted means (CWM) for quantitative trait values (including quantitative habitat preferences). Data on response variables were calculated at each sampling point for the overall plant community, and separately for four plant functional types (trees, shrubs, forbs and graminoids). Data on plant functional traits were extracted from four main sources: the LEDA and BiolFlor plant trait data bases, and the floras \u201cFlore Foresti\u00e8re Fran\u00e7aise\u201dand \u201cNouvelle flore de la Belgique, du Grand-Duch\u00e9 de Luxembourg, du Nord de la France et des R\u00e9gions voisines\u201d. Missing data was added by consulting the scientific literature. We used plant functional trait data of categorical traits of plants (plant life span, plant leaf vertical distribution and spiny plants) and seeds (seed life span, frugivory seed characteristics and seed appendages), quantitative traits of plants (specific leaf area, canopy height, plant leaf vertical distribution, plant life span) and seeds (seed mass, seed releasing height, seed longevity, seed shape), as well as qualitative and quantitative plant habitat preferences (forest history, successional stage, EUNIS main habitats, Ellenberg\u2019s indicator values and Grime\u2019s CSR-scheme). Observed differences at the community level of these plant and seed characteristics among study plots are likely to inform about the plant community\u2019s response to various ungulate activities related to trophic interactions (e.g. direct effects of grazing, browsing and frugivory) and engineering effects (e.g. direct effects of trampling, rooting, seed dispersal). Site characteristics In order to take into account possible confounding factors, known to be strong determinants of vegetation composition, we made a forest stand description and took soil samples at each sampling point. Forest stands were described by measuring the dominant tree height within a radius of 18 m from the sampling point, the basal area at 1.3 m (breast height, BAbh) and canopy openness. BAbh was estimated using point sampling methodology and by separately estimating BAbh for broadleaves (BAbroadleaves), conifers (BAconifers) and coppice (BAcoppice), which allowed us to calculate overall BAbh and canopy mixture (varying from 0%, pure stand, to 50% , equally mixed stand of broadleaves and coniferous tree species). We visually estimated canopy openness at sampling points along three radial transects (one measurement every two meter along the 16 m-long transects, a total of 27 measurements per sampling point). We also determined forest history at sampling points distinguishing between recent and ancient forests. Forest history was derived from three times series of historical maps (Carte d'\u00c9tat-Major) drawn between (i) 1820 and 1866 and aerial photographs for the periods (ii) 1947-1950 and (iii) 1975-1980. We classified forest stands at sampling points as ancient forests whenever continuous forest cover was observed for all three time series (i.e. forest as land use since at least 1820-1866), while stands were classified as recent forest whenever any other form of land use was described at the sampling points for any of the three time series. Soil samples of about 500 g were taken of the mineral soil at 20 cm depth at a distance of 10 m from the point center and in three different directions (0\u00b0, 120\u00b0 et 240\u00b0). Soil samples were sent to the Soil Analysis Laboratory of INRA, Arras France. Soil samples were analyzed for soil texture (particle-size fractions in percentage of sand, silt and clay), cation exchange capacity (CEC, cmol+/kg), organic carbon (C, g/kg), total nitrogen (N, g/kg), and extractable soil phosphorus (P2O5, g/kg). Total organic carbon and total nitrogen content in the soil was measured after dry combustion (ISO 10694, ISO 13878), and the cation exchange capacity (CEC) was determined by extracting exchangeable cations (Al3+, Ca2+, Fe2+, K+, Mg2+, Mn2+, Na+) using a hexamminecobalt trichloride solution (ISO 23470). Extractable soil phosphorus was determined using Duchaufour\u2019s method, which is a method appropriate for acidic forest soils. Soil pH was measured at our own laboratory using a pH-meter (Eutech Instruments Eco Scan 6+) in a 1:5 (volume fraction) suspension of soil in 1 mol/l potassium chloride solution (pHKCl) following the ISO 10390 standard. The majority of forest stands were recent forests (n = 76), while the remaining fifth were classified as ancient forests (n = 19). Two thirds of sampling points were situated in high stands dominanted by broadleafs (n = 63) composed of oak trees (Quercus petraea, Q. robur), while one third were in high stands of coniferous trees (n = 32) composed of pine trees (Pinus sylvestris, P. nigra subsp. laricio). Overall mean basal area was 22.6 \u00b1 0.9 m2/ha and the mean dominant tree height was 23.4 \u00b1 0.4 m. Coppice stools of Betula sp., Carpinus betulus, Castanea sativa, Corylus avellana and Quercus sp. were present in the understory at about one third (n = 35) of the sampling points with a mean basal area of 6.5 \u00b1 1.2 m2/ha. Soils were representative of the region characterized by low soil fertility of N (0.4 \u00b1 0.04 g/kg) and P2O5 (0.03 \u00b1 0.004 g/kg), low CEC (1.8 \u00b1 0.2), and high acidity (4.2 \u00b1 0.03).", "keywords": ["Earth and Environmental Science", "Cervidae", "Ecology", "plant community", "browsing", "Biospheric Sciences", "Biodiversity and Ecology", "Suidae", "Earth and Environmental Sciences", "ungulate", "species richness", "forest ecology", "Environmental Research", "Natural Sciences", "Geosciences", "biodiversity"], "contacts": [{"organization": "M\u00e5rell, Anders, Baltzinger, Christophe,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/8DHNRM"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/8DHNRM", "name": "item", "description": "10.15454/8DHNRM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/8DHNRM"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15454/QSXKGA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Analyses physico-chimiques des sites du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols (RMQS) du territoire m\u00e9tropolitain pour la 1\u00e8re campagne (2000-2009), avec coordonn\u00e9es th\u00e9oriques", "description": "Le R\u00e9seau de mesures de la qualit\u00e9 des sols (RMQS) est un programme national d\u2019\u00e9valuation et de suivi \u00e0 long terme de la qualit\u00e9 des sols fran\u00e7ais. Ce r\u00e9seau repose sur le suivi de 2240 sites repr\u00e9sentatifs des sols fran\u00e7ais et de leurs occupations, r\u00e9partis sur l\u2019ensemble du territoire fran\u00e7ais (m\u00e9tropole et outre-mer) selon une grille syst\u00e9matique de 16 km de c\u00f4t\u00e9. Les sites recouvrent diverses occupations (grandes cultures, prairies permanentes, for\u00eats, vignes et vergers, milieux peu anthropis\u00e9s, parcs urbains). Des propri\u00e9t\u00e9s physiques, chimiques et biologiques des sols sont mesur\u00e9es sur chaque site, par campagne. Ces analyses sont associ\u00e9es \u00e0 la recherche des facteurs explicatifs de la variabilit\u00e9 spatiale et temporelle des propri\u00e9t\u00e9s des sols (variables biophysiques, sources de contamination, historique de l\u2019occupation et des pratiques de gestion de chaque site). La premi\u00e8re campagne de pr\u00e9l\u00e8vement en m\u00e9tropole s'est d\u00e9roul\u00e9e de 2000 \u00e0 2009. Cette campagne, ax\u00e9e sur la contamination des sols, a permis de cartographier les principaux param\u00e8tres p\u00e9dologiques (28 variables) ainsi que les teneurs en 12 \u00e9l\u00e9ments traces m\u00e9talliques (ETM) en extraction totale ou partielle et 70 polluants organiques persistants. L\u2019ensemble des pr\u00e9l\u00e8vements, mesures et observations r\u00e9alis\u00e9s sur chaque site durant cette campagne est d\u00e9taill\u00e9 dans le Manuel de la premi\u00e8re campagne du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols . La deuxi\u00e8me campagne a d\u00e9marr\u00e9 en 2016 et devrait s\u2019\u00e9tendre sur 12 ans. Le jeu de donn\u00e9es fourni comprend les r\u00e9sultats d\u2019analyses issus de 2171 sites de m\u00e9tropole, r\u00e9partis sur 2146 cellules et correspondant \u00e0 la premi\u00e8re campagne RMQS (2000 -2009) et pour les param\u00e8tres suivants : granulom\u00e9trie 5 fractions, carbone et azote totaux, capacit\u00e9 d\u2019\u00e9change cationique et cations \u00e9changeables, calcaire total, pH eau, phosphore assimilable (P2O5), fer libre, \u00e9l\u00e9ments majeurs totaux et \u00e9l\u00e9ments traces m\u00e9talliques totaux et une partie des ETM en extraction partielle, conductivit\u00e9 \u00e9lectrique et \u00e9l\u00e9ments solubles \u00e0 l\u2019eau pour une s\u00e9lection de sites concern\u00e9s. Les analyses ont \u00e9t\u00e9 r\u00e9alis\u00e9es sur des \u00e9chantillons composites pr\u00e9lev\u00e9s \u00e0 la tari\u00e8re selon deux couches de pr\u00e9l\u00e8vement (0-30 cm ou couche travaill\u00e9e en sol cultiv\u00e9, appel\u00e9e composite de surface ou composite 1 et la couche sous-jacente jusqu\u2019\u00e0 50 cm, appel\u00e9e composite de sub-surface ou composite 2). Chaque \u00e9chantillon composite a \u00e9t\u00e9 constitu\u00e9 \u00e0 partir du m\u00e9lange de 25 pr\u00e9l\u00e8vements individuels pr\u00e9lev\u00e9s sur une surface d\u2019\u00e9chantillonnage de 400 m\u00b2 selon un plan d\u2019\u00e9chantillonnage al\u00e9atoire stratifi\u00e9 (voir description dans le manuel du RMQS). Une troisi\u00e8me couche de pr\u00e9l\u00e8vement issue d\u2019\u00e9chantillons composites a pu \u00eatre constitu\u00e9e en for\u00eat ou en prairie, \u00e0 partir des horizons holorganiques (correspondant aux horizons p\u00e9dologiques OF et OH) lorsque ces horizons \u00e9taient suffisamment \u00e9pais (au moins 1 cm) et continus sur la surface d\u2019\u00e9chantillonnage. English version The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site, during the first campaign et presently on the second campaign. The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009. This campaign focused on soil contamination assessment and made it possible to map key soil parameters (28 variables) as well as 12 trace metal elements and 70 persistent organic pollutants. The sampling method, measurements and observations on each site are described in the \u201cRMQS guidelines\u201d1 (in French: \u201cmanuel du RMQS\u201d). The second campaign started in 2016 and should last 12 years. The dataset includes the results of soil analyses from 2171 sites, spread over 2146 cells and corresponding to the first RMQS campaign (2000-2009). Analysed parameters are particle size analysis (5 fractions), total carbon and nitrogen, cation exchange capacity and exchangeable cations, total calcium carbonates, pH in water, available P2O5, free iron, total major elements and trace elements (total and partial extraction). The soil tests were carried out on composite samples collected with an auger at two sampling layers: 0-30 cm or cultivated layer named \u201cupper layer\u201d or \u201clayer 1\u201d and 30-50 cm named \u201csubsoil layer\u201d or \u201clayer 2\u201d. Each composite sample was made up of 25 individual sample cores taken on a sampling area of 400 m\u00b2, using an unaligned systematic sampling design (see description in the RMQS guidelines). In some cases a third layer was made up of holorganic layers in forests or meadows, corresponding to pedological horizons OF and OH, when these layers were sufficiently thick, (at least 1 cm) and continuous over the sampling area.", "keywords": ["Earth and Environmental Science", "sol", "pH du sol", "p\u00e9dologie (geosciences)", "TER sciences du sol", "capacit\u00e9 d \u00e9change cationique", "fer", "carbonate", "granulom\u00e9trie du sol", "Earth and Environmental Sciences", "conductivit\u00e9 \u00e9lectrique", "p\u00e9dologie geosciences", "carbone du sol", "phosphore du sol", "Environmental Research", "Natural Sciences", "capacit\u00e9 d'\u00e9change cationique", "azote du sol", "Geosciences"], "contacts": [{"organization": "Institut National de la Recherche Agronomique, Association marnaise de d\u00e9veloppement agricole et viticole, Association pour la Relance Agronomique en Alsace (ARAA), Chambre D\u00e9partementale d'Agriculture des Ardennes, Chambre D\u00e9partementale d'Agriculture de l'Aube, Chambre D\u00e9partementale d'Agriculture du Calvados, Chambre D\u00e9partementale d'Agriculture de Charente, Chambre D\u00e9partementale d'Agriculture de Charente-Maritime, Chambre D\u00e9partementale d'Agriculture du Cher, Chambre D\u00e9partementale d'Agriculture de Corr\u00e8ze, Chambre D\u00e9partementale d'Agriculture de la C\u00f4te d'Or, Chambre D\u00e9partementale d'Agriculture de Creuse, Chambre D\u00e9partementale d'Agriculture des Deux-S\u00e8vres, Chambre D\u00e9partementale d'Agriculture de l'Eure, Chambre D\u00e9partementale d'Agriculture de l'Eure-et-Loir, Chambre D\u00e9partementale d'Agriculture de Haute-Marne, Chambre D\u00e9partementale d'Agriculture de Haute-Vienne, Chambre D\u00e9partementale d'Agriculture de l'Indre, Chambre D\u00e9partementale d'Agriculture de Loire-Atlantique, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Manche, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Ni\u00e8vre, Chambre D\u00e9partementale d'Agriculture de l'Orne, Chambre D\u00e9partementale d'Agriculture de Sa\u00f4ne-et-Loire, Chambre D\u00e9partementale d'Agriculture de Seine-et-Marne, Chambre D\u00e9partementale d'Agriculture de Seine-Maritime, Chambre D\u00e9partementale d'Agriculture de Vend\u00e9e, Chambre D\u00e9partementale d'Agriculture de la Vienne, Chambre D\u00e9partementale d'Agriculture de l'Yonne, Chambre R\u00e9gionale d'Agriculture de Bretagne, Chambre R\u00e9gionale d'Agriculture de Lorraine, Chambre R\u00e9gionale d'Agriculture de Picardie, Chambre R\u00e9gionale d'Agriculture de Poitou-Charentes, Conseil G\u00e9n\u00e9ral de Mayenne, \u00c9cole nationale d'ing\u00e9nieurs des travaux agricoles de Bordeaux (ENITAB), EDIACARA, \u00c9tablissement national d'enseignement sup\u00e9rieur agronomique de Dijon (ENESAD), Genevois-Gomendy-Sol et Environnement, Groupe R\u00e9gional Agronomie P\u00e9dologie Environnement (GRAPE Franche-Comt\u00e9), Institut Forestier National (IFN), Institut National d'Horticulture d'Angers (INH), Institut National Polytechnique - Ecole Nationale Sup\u00e9rieure d'Agronomie de Toulouse (INP-ENSAT), Institut Sup\u00e9rieur d'Agriculture de Lille (ISA), SCITERRE, Soci\u00e9t\u00e9 du Canal de Provence et d'Am\u00e9nagement de la R\u00e9gion Proven\u00e7ale (SCP), Sol Info Rh\u00f4ne Alpes - Chambre R\u00e9gionale d'Agriculture de Rh\u00f4ne-Alpes (SIRA),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/QSXKGA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/QSXKGA", "name": "item", "description": "10.15454/QSXKGA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/QSXKGA"}, {"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": "10.3389/ffgc.2021.686945", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:17Z", "type": "Journal Article", "created": "2021-06-11", "title": "Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics\u2013modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using \u223c80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using \u201cstandard\u201d litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.</p></article>", "keywords": ["2. Zero hunger", "microbial model", "carbon use efficiency", "nitrogen limitation", "Forestry", "extracellular enzymes", "litter decomposition", "04 agricultural and veterinary sciences", "Biological Sciences", "SD1-669.5", "15. Life on land", "microbial stoichiometry", "C/N ratio", "C:N ratio", "12. Responsible consumption", "Environmental sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Biologiska vetenskaper", "GE1-350"]}, "links": [{"href": "https://doi.org/10.3389/ffgc.2021.686945"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/ffgc.2021.686945", "name": "item", "description": "10.3389/ffgc.2021.686945", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/ffgc.2021.686945"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-11T00:00:00Z"}}, {"id": "10.15454/jtve46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French SOERE soil monitoring dataset with related management practices data", "description": "Open AccessThis dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices, which has been created to evaluate benefits and risks associated with organic residue (OR) application in agriculture. It has been certified as SOERE PRO (a network of long-term experiments dedicated to the study of imp", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "7. Clean energy", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "soil functions", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Gay, Laura, Saby, Nicolas P.A., Michaud, Aur\u00e9lia, Montenach, Denis, Resseguier Camille, Houot, Sabine, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/jtve46"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/jtve46", "name": "item", "description": "10.15454/jtve46", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/jtve46"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/mutd4k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Landmark H2020 dataset", "description": "Open AccessThis dataset corresponds to a list of attributes with metadata produced by the WP2 team of the Landmark H2020 project. This list was compiled based on the requirements of the diagnostic approach and the preferences of Work Package 3 for soil function modeling procedure.The list contains four categories of attributes: 5. \u201cSoil horizon attributes\u201d required to successfully derive diagnostic horizons/properties/materials and qualifiers;6. \u201cSoil attributes\u201d which contain physical/chemical/biological and other derived attributes;7. \u201cEnvironmental attributes\u201d which contain attributes needed to characterize of the surroundings of the soils (eg.: topography, climatic properties);8. \u201cManagement attributes\u201d which contain attributes regarding to management practices (eg.: irrigation, manuring, fertilization, pest control, weed management, grassland management, mechanization). The LANDMARK proposal builds on the concept that soils are a finite resource that provides a range of ecosystem services known as \u201csoil functions\u201d. Functions relating to agriculture include: primary productivity, water regulation purification, carbon-sequestration regulation, habitat for biodiversity and nutrient provision cycling. Tradeoffs between these functions may occur: for example, management aimed at maximising primary production may inadvertently affect the \u2018water purification\u2019 or \u2018habitat\u2019 functions. This has led to conflicting management recommendations and policy initiatives. There is now an urgent need to develop a coherent scientific and practical framework for the sustainable management of soils. LANDMARK will uniquely respond to the breadth of this challenge by delivering (through multi-actor development): 1. LOCAL SCALE: A toolkit for farmers with cost-effective, practical measures for sustainable (and context specific) soil management.2. REGIONAL SCALE - A blueprint for a soil monitoring scheme, using harmonised indicators: this will facilitate the assessment of soil functions for different soil types and land-uses for all major EU climatic zones.3. EU SCALE \u2013 An assessment of EU policy instruments for incentivising sustainable land management.", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "management", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Micheli, Erika, Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/mutd4k"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/mutd4k", "name": "item", "description": "10.15454/mutd4k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/mutd4k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/srhcuh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Science for policy 1: FaST hidden benefits: needs based targeting of cleaner water through better use of nutrients - datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefile: PO1_GAEC5.shp The shapefile gives an estimation of the change in soil function performance across the EU in agricultural soils after implementation of the GAEC5 under the proposed CAP. This spatial variation is represented in change in z-scores compared to the current supply on a NUTS1 level. To implement the scenario, for each crop within each environmental zone the 20% area with the lowest values of the N Cycling indicator are selected from the current SF supply map and this indicator is increased to the lowest values in the other 80% of the same crop \u2013 environmental zone combination. In a second step, for each crop within each environmental zone the 20% area with the lowest values of the water purification indicator from the current SF supply map are selected and this indicator is increased to the lowest values in the other 80% of the crop \u2013 environmental zone combination, while maintaining the N Cycling improvements. This simulates potential improvements in both N Cycling and water purification due to the implementation of the Farm Sustainability Tool for Nutrients (GAEC 5) Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for a NUTS1 zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "6. Clean water", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "12. Responsible consumption", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, O\u2019Sullivan, Lilian, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, Wall, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/srhcuh"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/srhcuh", "name": "item", "description": "10.15454/srhcuh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/srhcuh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.3390/su12093676", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:46Z", "type": "Journal Article", "created": "2020-05-05", "title": "Assessing New Biotechnologies by Combining TEA and TM-LCA for an Efficient Use of Biomass Resources", "description": "<p>An efficient use of biomass resources is a key element of the bioeconomy. Ideally, options leading to the highest environmental and economic gains can be singled out for any given region. In this study, to achieve this goal of singling out an ideal technology for a given region, biotechnologies are assessed by a combination of techno-economic assessment (TEA) and territorial metabolism life cycle assessment (TM-LCA). Three technology variations for anaerobic digestion (AD) were assessed at two different scales (200 kW and 1 MW) and for two different regions. First, sustainable feedstock availability for two European regions was quantified. Then, the environmental impact and economic potential of each technology when scaled up to the regional level, considering all of the region\uffe2\uff80\uff99s unique sustainably available feedstock, was investigated. Multiple criteria decision analysis and internalized damage monetization were used to generate single scores for the assessments. Preference for the technology scenario producing the most energy was shown for all regions and scales, while producing bioplastic was less preferable since the value of the produced bioplastic plastic was not great enough to offset the resultant reduction in energy production. Assessing alternatives in a regional context provided valuable information about the influence of different types of feedstock on environmental performance.</p>", "keywords": ["Techno-economic assessment", "anaerobic digestion", "Regional assessment", "0211 other engineering and technologies", "Biogas", "techno-economic assessment", "02 engineering and technology", "/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production", "biomass valorization", "7. Clean energy", "territorial metabolism", "12. Responsible consumption", "regional assessment", "Life cycle assessment", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "life cycle assessment", "Anaerobic digestion", "11. Sustainability", "biogas", "0202 electrical engineering", " electronic engineering", " information engineering", "Territorial metabolism", "Polyhydroxyalkanoates", "polyhydroxyalkanoates", "Wet oxidation", "Biomass valorization", "wet oxidation", "13. Climate action", "8. Economic growth"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/9/3676/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/9/3676/pdf"}, {"href": "https://doi.org/10.3390/su12093676"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su12093676", "name": "item", "description": "10.3390/su12093676", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12093676"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-02T00:00:00Z"}}, {"id": "10.15468/dl.2z8tud", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2025-04-22", "title": "Occurrence Download", "description": "A dataset containing 390 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Anemone obtusiloba D.Don'  ] }   The dataset includes 390 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008871-250415084134356/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.2z8tud"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.2z8tud", "name": "item", "description": "10.15468/dl.2z8tud", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.2z8tud"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.15468/dl.3px3wz", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2024-03-03", "title": "Occurrence Download", "description": "A dataset containing 1 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Arenaria sipylea Boiss.'  ] }   The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013253-240229165702484/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.3px3wz"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.3px3wz", "name": "item", "description": "10.15468/dl.3px3wz", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.3px3wz"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.47urd7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2022-11-28", "title": "Occurrence Download", "description": "A dataset containing 89281 species occurrences available in GBIF matching the query: {  'and' : [  'Country is United States of America',  'OccurrenceStatus is Present',  'TaxonKey is Culex pipiens Linnaeus, 1758',  'Year 1999-2022'  ] }   The dataset includes 89281 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181022-220831081235567/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.47urd7"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.47urd7", "name": "item", "description": "10.15468/dl.47urd7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.47urd7"}, {"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": "10.15468/dl.2ejfyv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2022-06-12", "title": "Occurrence Download", "description": "A dataset containing 6336186 species occurrences available in GBIF matching the query: {  'and' : [  'Geometry POLYGON((-81.40869 -5.03185,-75.2124 -5.03185,-75.2124 1.59721,-81.40869 1.59721,-81.40869 -5.03185))',  'HasGeospatialIssue is false',  'Year 2003-2022'  ] }   The dataset includes 6336186 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0352345-210914110416597/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "14. Life underwater", "15. Life on land", "16. Peace & justice", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.2ejfyv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.2ejfyv", "name": "item", "description": "10.15468/dl.2ejfyv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.2ejfyv"}, {"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": "10.15468/dl.3pndpb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2025-07-22", "title": "Occurrence Download", "description": "A dataset containing 2742 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Aureolaria grandiflora'  ] }   The dataset includes 2742 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027772-250717081556266/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.3pndpb"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.3pndpb", "name": "item", "description": "10.15468/dl.3pndpb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.3pndpb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.15468/dl.42d2sq", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2020-06-15", "title": "Occurrence Download", "description": "A dataset containing 582 species occurrences available in GBIF matching the query: {  'and' : [  {  'or' : [  'BasisOfRecord is Observation',  'BasisOfRecord is Machine Observation',  'BasisOfRecord is Human Observation',  'BasisOfRecord is Material sample',  'BasisOfRecord is Literature Occurrence',  'BasisOfRecord is Specimen',  'BasisOfRecord is Fossil',  'BasisOfRecord is Living Specimen',  'BasisOfRecord is Unknown evidence'  ]  },  'Country is Colombia',  'HasCoordinate is true',  'TaxonKey is Vultur gryphus Linnaeus, 1758',  'HasGeospatialIssue is false'  ] }   The dataset includes 582 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000624-200613084148143/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.42d2sq"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.42d2sq", "name": "item", "description": "10.15468/dl.42d2sq", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.42d2sq"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15468/dl.4pj2oe", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2019-03-30", "title": "Occurrence Download", "description": "A dataset containing 66 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Hemimyzon formosanus (Boulenger, 1894)'  ] }   The dataset includes 66 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005623-190320150433242/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "14. Life underwater", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.4pj2oe"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.4pj2oe", "name": "item", "description": "10.15468/dl.4pj2oe", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.4pj2oe"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15468/dl.6km7be", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2025-03-22", "title": "Occurrence Download", "description": "A dataset containing 167 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is one of (Aeschynomene afraspera J.L\u00e9onard)',  'HasCoordinate is true',  'HasGeospatialIssue is false'  ] }   The dataset includes 167 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021450-250310093411724/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.6km7be"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.6km7be", "name": "item", "description": "10.15468/dl.6km7be", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.6km7be"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.15468/dl.6zbdsf", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2023-05-21", "title": "Occurrence Download", "description": "A dataset containing 2 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Ipomoea mcvaughii Mc Pherson'  ] }   The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253963-230224095556074/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.6zbdsf"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.6zbdsf", "name": "item", "description": "10.15468/dl.6zbdsf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.6zbdsf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.15468/dl.8wdbd3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2024-10-02", "title": "Occurrence Download", "description": "A dataset containing 6 species occurrences available in GBIF matching the query: {  'and' : [  'Geometry POLYGON((-84.49449 38.05119,-84.49563 38.05036,-84.49518 38.05005,-84.49409 38.05084,-84.49449 38.05119))',  'TaxonKey is one of (Mammalia, Aves)'  ] }   The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038240-240906103802322/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.8wdbd3"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.8wdbd3", "name": "item", "description": "10.15468/dl.8wdbd3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.8wdbd3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.9bfy7r", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2024-04-05", "title": "Occurrence Download", "description": "A dataset containing 795 species occurrences available in GBIF matching the query: {  'and' : [  'BasisOfRecord is Specimen',  'TaxonKey is Cherax destructor Clark, 1936'  ] }   The dataset includes 795 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102195-240321170329656/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.9bfy7r"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.9bfy7r", "name": "item", "description": "10.15468/dl.9bfy7r", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.9bfy7r"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.jhc6ev", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:05Z", "type": "Dataset", "created": "2025-08-07", "title": "Occurrence Download", "description": "A dataset containing 0 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is one of (Pyrrhula waterstradti)',  'HasCoordinate is true',  'OccurrenceStatus is Present',  'License is one of (CC-BY 4.0, CC0 1.0)'  ] }   The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025490-250802193616735/datasets/export for details.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.jhc6ev"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.jhc6ev", "name": "item", "description": "10.15468/dl.jhc6ev", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.jhc6ev"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.15468/dl.6v8xhy", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2022-05-21", "title": "Occurrence Download", "description": "A dataset containing 204 species occurrences available in GBIF matching the query: {  'and' : [  'HasCoordinate is true',  'HasGeospatialIssue is false',  'OccurrenceStatus is Present',  'TaxonKey is Python molurus (Linnaeus, 1758)'  ] }   The dataset includes 204 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296750-210914110416597/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.6v8xhy"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.6v8xhy", "name": "item", "description": "10.15468/dl.6v8xhy", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.6v8xhy"}, {"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": "10.15468/dl.8f9dz5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "created": "2023-01-17", "title": "Occurrence Download", "description": "A dataset containing 4 species occurrences available in GBIF matching the query: {  'and' : [  'Country is Ecuador',  'TaxonKey is Corallus hortulanus enydris (Linnaeus, 1758)'  ] }   The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250271-220831081235567/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.8f9dz5"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.8f9dz5", "name": "item", "description": "10.15468/dl.8f9dz5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.8f9dz5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.15468/dl.99hj6k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2022-02-04", "title": "Occurrence Download", "description": "A dataset containing 219 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Gonystylus bancanus (Miq.) Kurz'  ] }   The dataset includes 219 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122969-210914110416597/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "15. Life on land", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.99hj6k"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.99hj6k", "name": "item", "description": "10.15468/dl.99hj6k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.99hj6k"}, {"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": "10.15468/dl.9g6pur", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2021-01-22", "title": "Occurrence Download", "description": "A dataset containing 70 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is Penstemon euglaucus English',  'BasisOfRecord is one of (Specimen)',  'HasCoordinate is true',  'HasGeospatialIssue is false',  'Continent is North America'  ] }   The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165722-200613084148143/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.9g6pur"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.9g6pur", "name": "item", "description": "10.15468/dl.9g6pur", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.9g6pur"}, {"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": "10.15468/dl.actvda", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2024-02-04", "title": "Occurrence Download", "description": "A dataset containing 35077 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is one of (Fumana procumbens (Dunal) Gren. &amp; Godr.)',  'HasCoordinate is true'  ] }   The dataset includes 35077 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002866-240202131308920/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.actvda"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.actvda", "name": "item", "description": "10.15468/dl.actvda", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.actvda"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.a2eoem", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2017-12-18", "title": "Occurrence Download", "description": "A dataset containing 8 species occurrences available in GBIF matching the query: {  'DatasetKey' : [  'is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area'  ] }   The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010375-171124123535762/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.a2eoem"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.a2eoem", "name": "item", "description": "10.15468/dl.a2eoem", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.a2eoem"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.15468/dl.adss8s", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2024-12-05", "title": "Occurrence Download", "description": "A dataset containing 26716 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is Diodon holocanthus Linnaeus, 1758',  'HasCoordinate is true',  'HasGeospatialIssue is false'  ] }   The dataset includes 26716 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021201-241126133413365/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.adss8s"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.adss8s", "name": "item", "description": "10.15468/dl.adss8s", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.adss8s"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.awv8wu", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2024-04-02", "title": "Occurrence Download", "description": "A dataset containing 6502 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Polystichum luctuosum (Kunze) T.Moore'  ] }   The dataset includes 6502 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081325-240321170329656/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.awv8wu"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.awv8wu", "name": "item", "description": "10.15468/dl.awv8wu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.awv8wu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15468/dl.brrf48", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2025-08-28", "title": "Occurrence Download", "description": "A dataset containing 168 species occurrences available in GBIF matching the query: {  'and' : [  'BasisOfRecord is Specimen',  'GadmGid is USA.37.73_1',  'TaxonKey is one of (Crocodylia, Testudines, Squamata)'  ] }   The dataset includes 168 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002058-250827131500795/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.brrf48"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.brrf48", "name": "item", "description": "10.15468/dl.brrf48", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.brrf48"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.15468/dl.bykwxa", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2020-01-10", "title": "Occurrence Download", "description": "A dataset containing 13966 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is Staphyleaceae',  'DecimalLatitude is greater than or equal to -90',  'DecimalLongitude is greater than or equal to -180'  ] }   The dataset includes 13966 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037422-191105090559680/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "15. Life on land", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.bykwxa"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.bykwxa", "name": "item", "description": "10.15468/dl.bykwxa", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.bykwxa"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15468/dl.bthytz", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2017-04-27", "title": "Occurrence Download", "description": "A dataset containing 741613 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is Chironomidae',  'HasGeospatialIssue is false',  'HasCoordinate is true'  ] }   The dataset includes 741613 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085543-160910150852091/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.bthytz"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.bthytz", "name": "item", "description": "10.15468/dl.bthytz", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.bthytz"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.15468/dl.c3mhu5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2016-01-19", "title": "Occurrence Download", "description": "A dataset containing 664 species occurrences available in GBIF matching the query: {  'and' : [  'TaxonKey is Alces',  'Country is United States of America',  'HasCoordinate is true',  'HasGeospatialIssue is false',  'BasisOfRecord is Specimen'  ] }   The dataset includes 664 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000311-160118175350007/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.c3mhu5"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.c3mhu5", "name": "item", "description": "10.15468/dl.c3mhu5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.c3mhu5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.15468/dl.cc4i6e", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:04Z", "type": "Dataset", "created": "2019-12-25", "title": "Occurrence Download", "description": "A dataset containing 933 species occurrences available in GBIF matching the query: {  'TaxonKey' : [  'is Achnatherum sibiricum (L.) Keng ex Tzvelev'  ] }   The dataset includes 933 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029397-191105090559680/datasets/export for details.   Data from some individual datasets included in this download may be licensed under less restrictive terms.", "keywords": ["GBIF", "species occurrences", "biodiversity"], "contacts": [{"organization": "GBIF.Org User", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15468/dl.cc4i6e"}, {"rel": "self", "type": "application/geo+json", "title": "10.15468/dl.cc4i6e", "name": "item", "description": "10.15468/dl.cc4i6e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15468/dl.cc4i6e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SP&offset=2200&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SP&offset=2200&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SP&offset=2150", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SP&offset=2250", "hreflang": "en-US"}], "numberMatched": 6551, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T10:53:57.906705Z"}