The grid is based on the recommendation at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. For each country three vector polygon grid shape files, 1, 10 and 100 km, are available. The grids cover at least country borders - plus 15km buffer - and, where applicable, marine Exclusive Economic Zones v7.0 - plus 15km buffer - (www.vliz.be/vmdcdata/marbound). Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
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).
This metadata refer to the data on emissions of air pollutants submitted to the LRTAP Convention and copied to EEA. Data compiled are annual national total and sectoral emissions of air pollutants and associated activity data reported by EEA member and cooperating countries. Data are available for download in the UNECE/EMEP Nomenclature for Reporting (NFR19) format used by countries. A consolidated dataset for all countries in the NFR19 format and consistent with the European Union's air pollutant emission inventory submission to the LRTAP Convention is also provided.
Data compiled are annual national total and sectoral emissions of air pollutants and associated activity data reported by EEA member and cooperating countries. Data are available for download in the UNECE/EMEP Nomenclature for Reporting (NFR14) format used by countries. A consolidated dataset for all countries in the NFR14 format and consistent with the European Union's air pollutant emission inventory submission to the LRTAP Convention is also provided.
This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for zika transmission in the period 1951-2021. The basic reproduction number of zika 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).
This metadata refer to the dataset presenting the annual change in the heat vulnerability index by European country. This composite index ranges from 0 to 100, and considers the proportion of the population over 65, the prevalence of chronic diseases (chronic respiratory diseases, cardiovascular diseases, and diabetes), and the proportion of urban population.
This metadata refer to the PROVISIONAL 'GISCO NUTS 2024' data set representing the NUTS 2024 regulation and statistical regions by means of multipart polygon topology. The full dataset including polyline and point topology will be launched later in 2023. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2024 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries and the EU candidate countries.
The Turkey heat flow database includes several research articles obtained from the catalogue of The Global Heat Flow Data Assessment Project conducted by the International Heat Flow Commission (IHFC; www.ihfc-iugg.org). The presented database contains 725 heat-flow determinations compiled from 9 different publications generated between 1991-2023 reported within Turkey. For the reporting and sorting of the database, the structure documented by Fuchs et al. (2023) is followed. Within this dataset, 98% of the entries represent continental heat-flow data (onshore), while the remaining 2% correspond to marine data (offshore). 88% of the reported heat flow values were obtained via direct temperature measurements, while the remaining data (12%) were estimated from indirect Curie depth temperature calculations.
This metadata refer to the dataset presenting the annual change in the estimated West Nile Virus transmission risk between 1950 and 2020 by country. The risk varies between 0 (no risk) and 1 (very high risk). This indicator uses machine learning models incorporating WNV reported cases and climate variables (temperature, precipitation) to estimate WNV transmission probability. West Nile virus is a climate-sensitive multi-host and multi-vector pathogen. Human infection is associated with severe disease risk and death. In the past few decades, European countries have had a large increase in the intensity, frequency, and geographical expansion of West Nile virus outbreaks. The 2018 outbreak has been the largest yet, with 11 European countries reporting 1584 locally acquired infections. Increasing ambient temperatures are increasing the vectorial capacity of the Culex mosquito vector, and thus increasing the outbreak probability.
This metadata refer to the dataset presenting the annual change in the number of months suitable for the transmission of the Plasmodium vivax parasite causing malaria. The suitable months are those with precipitation above 80 mm, average temperature between 14.5°C and 33°C, and relative humidity above 60%, in land types highly suitable for Anopheles mosquitoes.