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Climatic suitability for the transmission of chikungunya in Europe (1951-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for chikungunya transmission in the period 1951-2021. The basic reproduction number of chikungunya from Aedes mosquitos is calculated using a model to capture the influence of temperature and rainfall on mosquito vectorial capacity and mosquito abundance, and overlaying it with human population density data to estimate the R0 (i.e., the expected number of secondary infections resulting from one infected person).

Model Output Statistics for VADUZ (06990)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Copernicus National Boundary Layer with 250 m buffer, version 3, Jan. 2019

For the provision of land monitoring services within COPERNICUS, a consistent, stable, sufficiently detailed boundary layer is required at EEA, which provides a “land mask” for the area that needs to be monitored. This metadata refers to the National Boundary layer both in vector formats (GDB, SHP) and in raster format (TIFF) at 10, 20 and 100m resolution, of each of the EEA member and cooperating countries as well as the United Kingdom (former EEA39). This is a product derived from the EEA 39 Border Expert product, generalised to a scale of about 1:1 000 000 by applying a buffer of 250m and selecting the outline. Each country boundary has been projected to its respective national system(s), which are specified together with the EEA. The Border Expert product is based on the EU-Hydro Coastline Version 3 from EEA, the EEA coastline for analysis Version 2, the EBM GISCO Hybrid Layer from EEA, the EuroGeographics EuroBoundary Map Version 12, the “Water and Wetness High Resolution Layer 2015” from EEA and the JRC-Global Surface Water Occurrence layer. The production of this Border Product was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

Geographic Information System of the European Commission (GISCO)

This metadata refers to the whole content of GISCO reference database, which contains both public datasets (also available for the general public through http://ec.europa.eu/eurostat/web/gisco/geodata) and datasets to be used only internally by the EEA (typically, but not only, GISCO datasets at 1:100k).

Noise data reported under Environmental Noise Directive (END)

The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas all under the terms of the Environmental Noise Directive (END). Data covers the EEA32 member countries and the United Kingdom (excluding Turkey for the third round of noise mapping in 2017).

Weighted Urban Proliferation (WUP) 2009 (LEAC Grid), Nov. 2016

The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).

Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) - version 1.0, Nov. 2019

This dataset is the new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the year 2009. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39 except these countries: Albania, Bosnia and Herzegovina, Cyprus, Iceland, Kosovo (UNSCR 1244/99), Montenegro, North Macedonia, Romania, Serbia and Türkiye. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.

Industrial Reporting under the Industrial Emissions Directive 2010/75/EU and European Pollutant Release and Transfer Register Regulation (EC) No 166/2006

This dataset contains the location and administrative data for the largest industrial complexes in Europe, releases and transfers of regulated substances to all media, waste transfers reported under the European Pollutant Release and Transfer Register (E-PRTR) and as well as more detailed data on energy input and emissions for large combustion plants (reported under IED Art.72).

Copernicus Boundary Layers with 250m buffer

The Copernicus boundary layers cover the EEA38 member states and United Kingdom including the French DOM (French Guiana GF, Guadeloupe GP, Martinique MQ, Mayotte YT and Reunion RE). The Copernicus Boundary Layer provides both land masks for the countries as well as national boundaries. The datasets are based on a rasterisation of the Boundary Layer vector product. The raster products are available with 250 m buffer in these resolutions: raster 10m, raster 20m and raster 100m. The production of the Border Products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme. The use of the raster 10m, raster 20m and the vector data has to be agreed with EEA.

Nationally designated areas

The European inventory of Nationally designated areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas is the official source of protected area information from the 38 European member countries to the World Database of Protected Areas (WDPA). The Nationally designated areas data can be queried online in the European Nature Information System (EUNIS). Two versions of the public dataset are provided. The full dataset includes the entire geographical coverage including nationally designated areas in overseas entities. The European dataset excludes the overseas entities. The datasets are accompanied by tabular data which 1) includes information on the nationally designated sites and designated boundaries for public dissemination; and 2) contains information about designation types and the national and international legislative instruments, which directly or indirectly create protected designated areas in Europe.

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