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Copyright holder: European Environment Agency (EEA).", "updated": "2024-01-15T16:11:56.642Z", "type": "Dataset", "created": "2016-10-23", "language": "eng", "title": "Forest fragmentation in Carpathians (KEO), Oct. 2016", "description": "The forest fragmentation dataset detects and describes the geometry and the connectivity of forests coverage. 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 boundaries delimitation was proposed and agreed by the signatories of the Partnership agreement, the EEA and the Secretariat of the Carpathian Convention (SCC).", "formats": [{"name": "SHP"}, {"name": "EEA:FOLDERPATH"}, {"name": "WWW:URL"}, {"name": "OGC:WMS"}, {"name": "ESRI:REST"}], "keywords": ["Area management/restriction/regulation zones and reporting units", "mountain ecosystem", "biogeographical region", "ecozone", "Romania", "Hungary", "Poland", "Slovakia", "Ukraine", "Serbia", "Czechia", "Regional", "Biodiversity", "Land use"], "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", "administrativeArea": "K", "postalCode": "1050", "country": "Denmark"}], "links": [{"href": {"url": "http://www.eea.europa.eu", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": 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The purpose of this study was to investigate the impacts of agricultural intensification in Europe, and to understand its environmental impact. Metal concentrations in soils were used from two consecutive Europe-wide geochemical surveys, sampled in 1998 (FOREGS survey) and 2009 (GEMAS survey). For land use, the 2010 Eurostat data were used. \n\nThe metals included in this data set are cadmium (Cd), copper (Cu), lead (Pb) and zinc (Zn). The results on the fate of Nitrogen (N) and Phosphorus (P) are included in a separate dataset. Cu and Zn are minor nutrients but at high inputs, they may cause adverse impacts on soil biodiversity, whereas Cd and Pb are toxic metals that may lead to soil degradation, by both affecting soil biodiversity and food quality. Metal budgets based on spatially explicit input and output data were calculated using the INTEGRATOR model; approximately 40,000 so-called NCUs as unique combinations of soil type, administrative region, slope class and altitude class were used. Available critical limits for food, water and soil organisms, from different existing regulations and studies, were converted to soil property-dependent critical metal concentrations (soil-based quality standards), which were then used to calculate critical metal inputs. \n\nThe results allow for the first time to identifying spatial hot spots for critical environmental impact of soil pollution for the four most abundant heavy metals. It thus informs policy processes important for planning and guiding sustainable agriculture and soil management. The work is methodologically novel, as it applies endpoint risk to thresholds in soils, and thus guides future impact studies. Updates with more recent land use and soil data are now possible.\n\nThe description of the included model results and the reference report is provided under \"lineage\". The data set is provided as SHP and also in a GDB, the latter including as well the N and P concentrations. 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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": "2025-02-26", "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. 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