2024
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The European Environment Agency (EEA) is an agency of the European Union (EU) tasked with providing independent information on the environment. Established in 1990 and headquartered in Copenhagen, Denmark, the EEA serves as a key source of environmental data, assessments, and reports for policymakers and the public across Europe. With a focus on improving environmental decision-making and promoting sustainable development, the agency plays a vital role in monitoring, analyzing, and communicating environmental trends and challenges. At its core, the EEA aims to support the development, implementation, and evaluation of EU environmental policies. It achieves this mission through a range of activities, including data collection, analysis, and reporting. The agency collaborates with national environmental agencies in EU member states, as well as other international organizations, to gather and harmonize environmental data from across Europe. This wealth of information is then used to produce high-quality assessments and reports on various environmental topics. One of the primary functions of the EEA is to provide regular assessments of the state of Europe's environment. These assessments cover a wide range of issues, including air and water quality, biodiversity, climate change, and resource use. By compiling and analyzing data from different sources, the agency produces comprehensive reports that highlight key environmental trends, identify emerging challenges, and assess progress towards environmental objectives. These assessments are invaluable tools for policymakers, helping them to make informed decisions and prioritize actions to protect and improve the environment. In addition to assessing the state of the environment, the EEA also plays a crucial role in monitoring the effectiveness of environmental policies and measures. The agency tracks the implementation of EU environmental legislation and policies, assessing their impact on the ground. By evaluating the success or shortcomings of these policies, the EEA provides valuable feedback to policymakers, helping them to refine and strengthen environmental governance at the European level. Furthermore, the EEA acts as a hub for environmental information and knowledge exchange. The agency maintains several databases and online platforms, such as the European Environmental Data Centre (EEDC) and the European Environment Information and Observation Network (EIONET), which provide access to a wealth of environmental data, maps, and indicators. These resources are freely available to policymakers, researchers, NGOs, and the public, supporting evidence-based decision-making and fostering greater transparency and accountability in environmental governance. In this page you can find the Web Services of the European Environment Agency
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The High Resolution Layer Cropping Patterns - Bare Soil After (CPBSA) raster product provides bare soil period (in days) after the harvest of the main annual crop. Note that the bare soil period cannot transcend the calendar year for which the product is generated. This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)
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99.7 percentile of daily precipitation for year or season, for the period 1991-2020, at a 1x1 km spatial resolution. (kg m-2 equals mm)
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Number of days with minimum temperature below zero (tasmin<=0 °C) for the period 1991-2020, at a 1x1 km spatial resolution.
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Mean precipitation sum on wet days (pr >= 1mm) given as mm/day for the period 1991-2020, for year or season, at a 1x1 km spatial resolution. (kg m-2 equals mm)
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The Rusty Blackbird (Euphagus carolinus) breeds in boreal forest wetlands across North America, and winters in the southeastern USA. This species is listed under Canada’s Species at Risk Act as Special Concern due to population declines. For the study, 1220 Rusty Blackbirds were captured in spring and fall from 2005-2010 at three sites in southern Yukon Territory (Whitehorse, Teslin, Watson Lake) in order to investigate timing of migration, stopover and molt, and to develop methods for age determination. We recorded sex, weight, wing length, fat, body molt, molt of primary and secondary wing feathers, eye colour, and extent of skull ossification. We photographed each bird (head, underwing, upperparts), and collected a primary feather (P1) for stable isotope analysis in order to determine breeding origin. Each bird was fitted with an aluminium band and a single colour band to indicate banding site. This dataset includes 717 individual Rusty Blackbirds captured at the Whitehorse Landfill site (60.751° -135.157°) by Canadian Wildlife Service personnel, plus 63 recaptures involving 57 of those 717 individuals. The other birds in the study (not included here) were captured in Teslin and Watson Lake, YT, by the Society of Yukon Bird Observatories http://www.yukonbirdobservatories.org/ . Basic banding data for all banded birds are also held by the Bird Banding Lab of Canadian Wildlife Service in Ottawa https://www.canada.ca/en/environment-climate-change/services/bird-banding.html
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Mean precipitation sum for year or season, for the period 1991-2020, at a 1x1 km spatial resolution. (kg m-2 equals mm)
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Number of events with maximum temperature above or equal to 27 degrees (tasmax>=27°C) five days in a row for the period 1991-2020, at a 1x1 km spatial resolution.
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Percentage fraction of precipitation on very wet days (number of days with precipitation exceeding the 95 percentile) for year or season, for the period 1991-2020, at a 1x1 km spatial resolution.
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EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity, contaminants and marine litter. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data profiles on eutrophication and acidity, and covers: the Artic Ocean, the North East Atlantic, the Greater North Sea and Celtic Seas, the Baltic Sea, the Mediterranean Sea and the Black Sea. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This European dataset is the result of the aggregation of the regional datasets concerning eutrophication and acidity present in EMODnet Chemistry. The regional datasets are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/. This process were regionally performed by: 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' (Norway), 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' (France), 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' (Denmark), 'Swedish Meteorological and Hydrological Institute (SMHI)' (Sweden), 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' (Greece) and 'National Institute for Marine Research and Development 'Grigore Antipa' (Romania). When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L. The aggregated dataset can be downloaded as an ODV collection.
Arctic SDI catalogue