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Floods Reference Spatial Datasets reported under Floods Directive - version 3.0, Mar. 2025

The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).

Geochemie von Stofftransportprozessen im Bereich aktiver konvergenter Plattengrenzen (Kreta, Griechenland)

In Subduktionszonen werden aus dem abtauchenden Lithosphaerensegment durch Kompaktierung, Dehydratisierung und Devolatillisierung der Gesteine erhebliche Mengen an Fluiden freigesetzt. Dabei werden Elemente mobilisiert und Reaktionsmechanismen ausgeloest, die zu einer tiefgreifenden stofflichen Umwandlung der Kruste fuehren. Ueber den Fluidhaushalt und die fluidvermittelten Stofftransportprozesse in Akkretionskomplexen ist trotzdem relativ wenig bekannt. Kreta bietet durch seine tektonische Lage hervorragende Bedingungen um diese Prozesse durch das Abteufen einer Tiefbohrung eingehend studieren zu koennen. Der diesbezueglich lueckenhafte Kenntnisstand setzt jedoch umfangreiche spuren- und isotopen-geochemische Vorfelduntersuchungen voraus. Diese sollen Auskunft ueber Regime, Zusammensetzung, Herkunft der Fluide und Aenderungen des Fluid/Gestein-Verhaeltnisses waehrend der tektono-metamorphen Entwicklung der wichtigsten lithologisch-strukturellen Einheiten liefern. Die durch die Fluide vermittelten Stofftransportprozesse und Mobilisierungen von Elementen sollen unter Einbeziehung der Nebengesteinschemie, anhand der spezifischen Spurenelementsignaturen der Mineralneubildungen und Alterationszonen untersucht werden. Es besteht auch die Aussicht, Informationen ueber metamorph gesteuerte Austausch- und Fraktionierungsmechanismen der untersuchten Isotopensysteme zu erhalten.

NECPR: Progress to targets for energy efficiency (Annex IV) dataset

Progress to targets for energy efficiency is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's energy efficiency contributions and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from Eurostat regarding Primary Energy Consumption (PEC) and Final Energy Consumption (FEC) in the period of 2020-2030. This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex IV).

Model Output Statistics for LIMNOS AIRPORT / LIMNOS (16650)

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 ]

Model Output Statistics for KALAMATA AIRPORT (16726)

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 ]

Model Output Statistics for ALEXANDROUPOLIS (16627)

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 ]

EU27_2020 basemap for EEA internal use

This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.

NECPR: Progress to targets for greenhouse gas emissions and removals (Annex I) dataset, 2023

Progress to targets for greenhouse gas (GHG) emissions and removals is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's GHG and removals targets and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from GHG inventories and projections (also collected by the EEA), as well as Annual Emission Allocations (AEAs). This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex I).

NECPR: Progress to targets for energy efficiency (Annex IV) dataset, 2023

Progress to targets for energy efficiency is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's energy efficiency contributions and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from Eurostat regarding Primary Energy Consumption (PEC) and Final Energy Consumption (FEC) in the period of 2020-2030. This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex IV).

Population trend of bird species: datasets from Article 12, Birds Directive 2009/147/EC reporting (2013-2018) - INTERNAL VERSION - Oct. 2020

All EU Member States are requested to monitor birds listed in the Birds Directive (2009/147/EC) and send a report about the progress made with the implementation of the Directive every 6 years following an agreed format. The assessment of breeding population short-term trend at the level of country is here presented. The spatial dataset contains gridded birds distribution data (10 km grid cells) as reported by EU Member States for the 2013-2018 period. The dataset is aggregated by species code and country in the attribute CO_MS. By use of the aggregated attribute [CO_MS], the tabular data can be joined to the spatial data to obtain e.g. the EU population status and trend. This metadata refers to the INTERNAL dataset as it includes species flagged as sensitive by Member States. Therefore, its access is restricted to only internal use by EEA.

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