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Waterbase - Biology, 2024

Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).

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).

Project OTC-Genomics: Environmental and microbial time series data from the Warnow estuary and the Baltic Sea coast

Estuaries and coasts are characterized by ecological dynamics that bridge the boundary between habitats, such as fresh and marine water bodies or the open sea and the land. Because of this, these ecosystems harbor ecosystem functions that shaped human history. At the same time, they display distinct dynamics on large and small temporal and spatial scales, impeding their study. Within the framework of the OTC-Genomics project, we compiled a data set describing the community composition as well as abiotic state of an estuary and the coastal region close to it with unprecedented spatio-temporal resolution. We sampled fifteen locations in a weekly to twice weekly rhythm for a year across the Warnow river estuary and the Baltic Sea coast. From those samples, we measured temperature, salinity, and the concentrations of Chlorophyll a, phosphate, nitrate, and nitrite (physico-chemical data); we sequenced the 16S and 18S rRNA gene to explore taxonomic community composition (sequencing data and bioinformatic processing workflow); we quantified cell abundances via flow cytometry (flow cytometry data); and we measured organic trace substances in the water (organic pollutants data). Processed data products are further available on figshare.

Industrial Emissions Directive 2010/75/EU and European Pollutant Release and Transfer Register Regulation (EC) No 166/2006 - ver. 15.0 Dec. 2025 (Tabular data)

This metadata refers to the geospatial dataset representing the status of the EEA Industrial Reporting database as of 15 December 2025 (version 15). The release and emissions data cover the period 2007-2024 as result of the data reported under the E-PRTR facilities, 2017-2024 for IED installations and WI/co-WIs, and 2016-2024 for LCPs. These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.

Climate Simulation with CLM, Scenario A1B run no.1, North Atlantic region

[ Derived from parent entry - see the respective metadata entry ] The experiment CLM_A1B_ZS contains Northern European regional climate simulations of the years 2070-2099 on a rotated grid (CLM non hydrostatic, 0.44 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC SRES A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. The model region starts at -19.36/-40.48 (lat/lon in rotated coordinates; centre of lower left corner of the domain) with rotated North Pole at 21.3/-175.0 (lat/lon). The number of grid points is 80/146 (lat/lon). The sponge zone (numerically unreliable boundary grid points) consists of 8 grid boxes at each border. EH5-T63L31_OM-GR1.5L40_A1B_1_6H were nudged during the simulations (spectral nudging,von Storch, H., A spectral nudging technique for dynamical downscaling purposes. Mon. Wea. Rev, 2000 ) The regional model variables include two-dimensional near surface fields and atmospheric fields on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa) for zonal and meridional wind, temperature and pressure. The time interval of the output fields is 3 hours. Please contact sga"at"dkrz.de for data request details. The output format is netCDF. Experiment with CLM 2.4.6 on HPC Cluster ( blizzard ).

GTS Bulletin: PAGF51 EDZW - Pictorial information (Binary coded) (details are described in the abstract)

The PAGF51 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PA): Radar data (The bulletin collects reports from stations: 10410;Essen-Bredeney;) (Remarks from Volume-C: RADAR SWEEPS DATA, 10 ELEVATION ANGELS)

GTS Bulletin: PAGJ51 EDZW - Pictorial information (Binary coded) (details are described in the abstract)

The PAGJ51 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PA): Radar data (The bulletin collects reports from stations: 10410;Essen-Bredeney;) (Remarks from Volume-C: RADAR SWEEPS DATA, 10 ELEVATION ANGELS)

Global Precipitation Analysis Products of the GPCC

The Global Precipitation Climatology Centre (GPCC) has been established in 1989 on request of the World Meteorological Organization (WMO). It is operated by Deutscher Wetterdienst (DWD, National Meteorological Service of Germany) as a German contribution to the World Climate Research Programme (WCRP). Mandate of the GPCC is the global analysis of precipitation on earth’s land surface based on in situ rain gauge data. These gridded analyses provide long-term means, monthly and daily totals, quantiles and a drought index.

Reported data on noise exposure covered by Directive 2002/49/EC, 2017, July 2024

The Directive relating to the assessment and management of environmental noise (the Environmental Noise Directive – END, 2002/49/EC) is the main EU instrument to identify noise pollution levels and to trigger the necessary action both at Member State and at EU level. Data submitted by EEA member countries until 16/04/2024. This database contains information on the number of people exposed to 5 decibel (dB) bands for two indicators "Lden : 55-59, 60-64, 65-69, 70-74, >75" and "Lnight. : 50-54, 55-59, 60-64, 65-69, > 70". The database covers the noise sources specified in the END (major roads, major railways, major airports and urban agglomerations) and the corresponding number of people exposed to each of the noise sources inside urban areas and outside urban areas. Percentage of people exposed has also been calculated for comparative purposes. The reporting requirements were set to start as from 2005, and the reporting cycle specified in the END is 5 years, with the exposure data submitted in 2007, 2012 and 2017.

GTS Bulletin: ISXD91 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISXD91 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISX): Other surface data A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10015;Helgoland;10020;List auf Sylt;10035;Schleswig;10055;Fehmarn;10147;Hamburg-Fuhlsbüttel;10162;Schwerin;10184;Greifswald;10200;Emden;10224;Bremen;10270;Neuruppin;10338;Hannover;10361;Magdeburg;10393;Lindenberg;10400;Düsseldorf;10469;Leipzig/Halle;10488;Dresden-Klotzsche;10506;Nürburg-Barweiler;10548;Meiningen;10637;Frankfurt/Main;10685;Hof;10738;Stuttgart-Echterdingen;10763;Nürnberg;10788;Straubing;10852;Augsburg;10946;Kempten;) (Remarks from Volume-C: SYNOP HALF HOURLY H+30)

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