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).
High resolution radar data (lmax) of Flechtdorf
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.
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.
The Seismicity Catalog Collection is a compilation dataset on over four million earthquakes dating from 2150 BC to 1996 AD from NOAA's National Geophysical Data Center and U.S. Geological Survey's National Earthquake Information Center. The data include information on epicentral time of origin, location, magnitudes, depth and other earthquake-related parameters. This database is static and is no longer being updated. The CD collection was a compilation of all of the earthquake catalogs, both US and non-US, in the National Geophysical Data Center (NGDC) archive available in 1996. The purpose was to provide users with access to all the seismicity data in one place. Data can be accessed through the GeoVu data access and visualization software included on the CDs. This software allows visualization of pre-computed histograms as well as reformatting of data files to a format specified by the user. Many of the more popular data bases are available in several different formats so the user will not have to reformat large data bases. Files can be formatted for use on IBM PCs, Macs, or UNIX machines. Format information, data dictionary and statistical information are also included. A bibliography of earthquake-related materials at NCEI and the Summary of Earthquake Data Base (KGRD-21) are included on the CD-ROM. NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. This dataset has been archived in the framework of the PANGAEA US data rescue initiative 2025.
High resolution radar data (lmax) of Dresden
Sanukitoids, also referred to as high-Mg diorites, are a distinctive type of igneous rock from the late Archean-early Proterozoic, and are characterised by enrichment in both compatible elements (e.g. Mg, Ni, Cr) and incompatible elements (e.g. Ba, Sr, light rare earth elements). Their geochemistry is typically interpreted as recording petrogenesis of their parental magmas via interaction between mantle peridotite and recycled crust-derived component (e.g. metabasite melts, sediment melts, aqueous fluids), and is often considered to be "transitional" between that of Archean sodic tonalite-trondhjemite-granodiorite (TTG) suites and post-Archean potassic granites. This dataset presents a global compilation of all Archean-Paleoproterozoic rocks that have been described as "sanukitoid" in published literature, and consists of over 3600 individual samples. Whole rock major and trace element concentrations, radiogenic isotope compositions and stable isotope compositions are compiled in the dataset alongside reported magmatic ages of the samples. The dataset is provided both as an Excel workbook divided by craton (file: 2025-003_Spencer-et-al_Sanukitoid-Compilation.xlsx) and as a single CSV file (file: 2025-003_Spencer-et-al_Sanukitoid-Compilation.csv). Sanukitoid magmatism has been described on almost every Archean craton globally. Most reported sanukitoid magmatism occurred during the late Mesoarchean-Neoarchean (2.95 - 2.5 Ga), with another peak in sanukitoid magmatism in the mid-Paleoproterozoic (2.2 - 2.0 Ga). Older sanukitoid occurrences dating back to the Paleoarchean (>3.2 Ga) are also described in the literature.
The IUXD45 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IU): Upper air T1T2A1 (IUX): Other upper air reports A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10954;Altenstadt;) (Remarks from Volume-C: High resolution 2 sec., BUFR309057, Level 300) IUXD45 BUFR bulletin available 10954 Altenstadt from EDZW (Deutscher Wetterdienst) up to 300 hPa. at 05, 11, 17 UTC Mon-Fri
Tonalite-trondhjemite-granodiorite (TTG) suites are the main constituent of Archean (4-2.5 Ga) continental crust. High-Sr TTGs are a subgroup of "high-pressure" TTGs characterised by very high Sr concentrations (>500 ppm, but often >700 ppm) and Sr/Y (>100), in addition to K2O/N2O<0.5, Yb<0.4 ppm and La/Yb>60 at SiO2≈70 wt%. High-Sr TTGs may have formed via fractional crystallisation of metasomatised mantle-derived sanukitoid magmas, in contrast to the dominant petrogenetic model for "high-pressure" TTGs involving metabasite partial melting at pressures >2 GPa. This dataset presents a compilation of global high-Sr TTG occurrences identified from published literature, and contains their compiled major and trace element and Nd isotope compositions.
This database contains policies and measures (PaMs) reported by EU Member States following European Commission Implementing Decision (EU) 2018/1522 of 11 October 2018 laying down a common format for national air pollution control programmes under Directive (EU) 2016/2284 of the European Parliament and of the Council on the reduction of national emissions of certain atmospheric pollutants. This database will be updated on a quarterly basis. It is important to note that the database only contains latest data that has been reported by Member States using the PAM-tool: https://webforms.eionet.europa.eu/. The completeness and accuracy of the data depends on the quality of reporting by each country. Release years: 2019 v1: Belgium, Croatia, Cyprus, Denmark, Germany, Italy, Portugal,Slovenia, Spain, Sweden 2020 v1: Czechia, Hungary, Latvia, Luxembourg, Malta, Slovakia 2021 v1: Greece, Ireland 2022 v1: Lithuania 2023 v1: Estonia, Romania, France, Ireland, Cyprus, Luxembourg, Poland 2024 v1: Austria, Spain, Sweden 2024 v2: Cyprus, Germany, Ireland, Lithuania, Slovenia 2024 v3: Austria, Cyrus, Germany, Ireland, Lithuania, Slovenia, Sweden 2025 v1: Bulgaria, Cyprus, Luxembourg, Sweden
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