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This dataset, developed based on the methodology of the European study \"Forest landscape in Europe: Pattern, Fragmentation, and connectivity\" (Estreguil et al., 2012), has been calculated for the Carpathian forest included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication \"Europe\u00b4s ecological backbone: recognising the true value of our mountains\".", "formats": [{"name": "GeoTIFF"}, {"name": "EEA:FOLDERPATH"}, {"name": "OGC:WMS"}, {"name": "ESRI:REST"}, {"name": "WWW:URL"}], "keywords": ["Land cover", "forest", "land cover", "Slovakia", "Poland", "Hungary", "Ukraine", "Czechia", "Romania", "Serbia", "Land use", "Forests and forestry", "Biodiversity"], "contacts": [{"name": null, "organization": "European Environment Agency", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "sdi@eea.europa.eu"}], "addresses": [{"deliveryPoint": ["Kongens Nytorv 6"], "city": "Copenhagen", 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"scheme": "https://www.eea.europa.eu/themes"}], "updated": "2025-10-09T10:47:48.763816Z", "type": "Dataset", "created": "2019-07-08T00:00:00", "language": "eng", "title": "Urban Heat Island (UHI) intensity modelling, Jan. 2020", "description": "The raster dataset of urban heat island modelling shows the fine-scale (100m pixel size) temperature differences (in degrees Celsius \u00b0C) across 100 European cities, depending on the land use, soil sealing, anthropogenic heat flux, vegetation index and climatic variables such as wind speed and incoming solar radiation.\n\nIn the framework of the Copernicus European Health contract for the Copernicus Climate Change Service (C3S), VITO provided 100m resolution hourly temperature data (2008-2017) for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). As the cities vary in size, so do the model domains. They have been defined with the intention to have a more or less constant ratio of urban vs. non-urban pixels (as defined in the CORINE land use map), with a maximum of 400 by 400 pixels (due to computational restraints). From this data set, the average urban heat island intensity is mapped for the summer season (JJA), which is the standard way of working in the scientific literature (e.g. Dosio, 2016). 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The corresponding GIS files include some 9500 mapped polygons, including miscellaneous units. The major soils have been described using 662 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a procedure that uses taxotransfer rules, based on about 9600 soil profiles held in the WISE database, complemented with expert-rules. \n\nParameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (less than 2 mm), and available water capacity (-33 to -1500 kPa). 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-10-02", "type": "Dataset", "created": "2025-09-29", "language": "eng", "title": "Survey of farmers on (perception of) biodiversity management in agriculture in ten European countries", "description": "We conducted a large-scale survey among farmers in ten countries across Europe (Estonia, France, Hungary, Portugal, Romania, Spain, Sweden, Switzerland, the Netherlands, and the UK) to assess their viewpoints on biodiversity (management) in agriculture. We collected basic data on agricultural structure and farm management, including biodiversity innovations and other practices promoting biodiversity, the awareness and knowledge of farmers on the relevance of biodiversity for their economic and ecological performance and perceptions to achieve biodiversity targets based on stated preferences. The relevant sections of the survey cover farmers\u2019 willingness to: 1) implement biodiversity measures, such as flower strips, hedgerows or extensive grassland management, asking for their motivation, necessary conditions, knowledge, importance of biodiversity outcomes and environmental effectiveness, but also the perceived risks they have; 2) participate agri-environmental schemes to foster biodiversity, including aspects such as biodiversity labelling, spatial connection bonus, advice/information or support through cooperation along the value chain through food hubs; and 3) participate in a new biodiversity business model based on Key Performance Indicators (KPIs). Furthermore, the survey encompasses a spatial experiment on where farmers would place biodiversity measures (hedgerows and flower strips) in the field, accounting for influencing factors such as slope, soil quality, wind, proximity to streets, forest or pre-existing hedgerows. The survey was conducted online, and supplemented by hard copy questionnaires, face-to-face interviews, and workshops where online contacts to farmers could not be established easily. The data collection took place between March and November 2023.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "farm survey", "farming systems", "sustainable agriculture", "conservation agriculture", "motivation", "extensification", "good agricultural practices", "grassland management", "biodiversity conservation", "decision making", "socioecological systems", "farm management", "common agricultural policy", "labelling", "cooperative farming", "hedge", "olive oil", "opendata", "farmers\u2019 attitudes", "agricultural management", "hedgerows", "flower strips", "semi-natural habitats", "discrete choice experiment", "spatial experiment", "Bodennutzung", "Europe", "Portugal", "Spain", "France", "The Netherlands", "United Kingdom", "Sweden", "Switzerland", "Estonia", "Hungary", "Romania"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", 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null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6936-5118", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "David Kleijn", "organization": "Wageningen University", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "david.kleijn@wur.nl"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-2500-7164", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": 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{"id": "Sweden"}, {"id": "Sk\u00e5ne L\u00e4n"}, {"id": "Uppsala L\u00e4n"}, {"id": "Switzerland"}, {"id": "Canton of Vaud"}, {"id": "USA"}, {"id": "Wisconsin"}, {"id": "Hungary"}, {"id": "Pest County"}, {"id": "Czechia"}, {"id": "South Moravia"}, {"id": "France"}, {"id": "Occitania"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-02-26", "type": "Dataset", "created": "2025-02-24", "language": "eng", "title": "Precision Liming Soil Datasets (LimeSoDa)", "description": "Precision Liming Soil Datasets (LimeSoDa) is a collection of 31 datasets from a field- and farm-scale soil mapping context. These datasets are \"ready-to-use\" for modeling purposes, as they include target soil properties and features in a tidy tabular format. Three target soil properties are present in every dataset: (1) soil organic matter (SOM) or soil organic carbon (SOC), (2) pH, and (3) clay content, while the features for modeling are dataset-specific. The primary goal of `LimeSoDa` is to enable more reliable benchmarking of machine learning methods in digital soil mapping and pedometrics. All the associated materials and data from LimeSoDa can be downloaded in this data repository. However, for a more in-depth analysis, we refer to the published paper \"LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping\" by Schmidinger et al. (2025).", "formats": [{"name": "ZIP"}], "keywords": ["Soil", "precision agriculture", "remote sensing", "sensors", "clay", "soil organic carbon", "soil organic matter", "machine learning", "regression analysis", "soil chemistry", "opendata", "Digital Soil Mapping", "pH", "Boden", "Brazil", "Sao Paulo", "Bahia", "Goias", "Mato Grosso", "Mato Grosso do Sul", "Santa Catarina", "Germany", "Brandenburg", "North Rhine-Westphalia", "Saxony-Anhalt", "Mecklenburg-Western Pomerania", "China", "Hubei", "Japan", "Saitama Prefecture", "Sweden", "Sk\u00e5ne L\u00e4n", "Uppsala L\u00e4n", "Switzerland", "Canton of Vaud", "USA", "Wisconsin", "Hungary", "Pest County", "Czechia", "South Moravia", "France", "Occitania"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Jonas Schmidinger", "organization": "Osnabr\u00fcck University and Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "jonas.schmidinger@uni-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Anh Duy Pham", "organization": "Osnabr\u00fcck University and Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "anh-duy.pham@uni-osnabrueck.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Robin Gebbers", "organization": "Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "rgebbers@atb-potsdam.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Hamed Tavakoli", "organization": "Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "HTavakoli@atb-potsdam.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Jos\u00e9 Eduardo Correa Reyes", "organization": "Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "JCorreaReyes@atb-potsdam.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tiago Rodrigues Tavares", "organization": "University of S\u00e3o Paulo (USP)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tiagosrt@usp.br"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Patrick Filippi", "organization": "University of Sydney", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "patrick.filippi@sydney.edu.au"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Edward J. 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