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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).

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.

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).

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).

GTS Bulletin: IUKD40 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The IUKD40 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IU): Upper air T1T2A1 (IUK): Radio soundings from marine stations (up to 100 hPa) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NilReason)

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.

Anpassung des symplastischen Transports an das wechselnde Milieu des Apoplasten und seine Wirkung auf die Einstellung dieses Milieus

Die ersten drei Jahre des Projektes standen im Dienste zweier Aufgaben, die erheblich schwieriger waren, als anfangs gedacht: 1. Entwicklung von Verfahren zur Excised-Patch und Whole-Cell Präparation von Xylemkontaktzellen des Mais. Hinzu kam der Nachweis, daß die LBS Zellen in Venen 3. Ordnung in direktem Kontakt mit den Xylemelementen tatsächlich der Ort des Aus- tausches zwischen Symplast und Apoplast sind.Nachdem diese Fragen nun gelöst sind, gilt das Interesse im letzten Förderungsabschnitt der physiologischen Rolle des Transportes zwischen Symplast und Apoplast. Bereits vorliegende Ergebnisse zeigen dabei die Richtung an. 1. Die gemessene pH-Abhängigkeit des dominanten K+-Kanals im whole-cell Präparat der Xylemkontaktzellen (die dem der Mesophyllzellen entgegengesetzt ist) scheint der Funktion des Kanals für den Ladungsausgleich in Cotransportregionen (z.B. für die Aufnahme von NO3 oder Cl) aus dem Xylem angepaßt zu sein. 2. Die Fähigkeit des Inward K+-Kanals, bei K+Mangel Na+ durchzulassen, ist sicher wichtig für den Einfluß von K+ Mangel bei Salzstress...Gegen Ende der Förderungsperiode sollte genug Datenmaterial vorliegen, daß die zu Anfang des Projektes begonnene, aber aufgrund des Datenmangels eingefrorene Modellierung der Flußbilanzen wieder aufgegriffen wird, indem das bereits bestehende Computerprogramm für 2 Teilapoplasten erweitert wird. Hierfür ist neben der Kenntnis der Plasmalemmatransporter (dieser Antrag) sowie der Zu- und Abfuhr durch Xylem und Phloem (Anträge Schurr, Zimmermann, Heldt) auch die Kenntnis der Driving forces für die Flüsse und der Pufferkapazitäten in den Apoplasten notwendig. Pufferkapazitäten und fluorometrisch gemessene Ionenkonzentrationen werden aus der Zusammenarbeit vor Ort mit der Arbeitsgruppe Sattelmacher bekannt sein. Die Bestimmung der Membranspannungen, der osmotischen Gradienten und auch der mit Mikroelektroden gemessenen Ionenkonzentrationen ist aus diesem Antrag ausgeklammert worden und soll in einem gemeinsamen Projekt mit der Arbeitsgruppe Zimmermann (Würzburg) gewonnen werden (s. Antrag Zimmermann, Hansen, Sattelmacher).

Drivers and mechanisms of 13C discrimination in Cleistogenes squarrosa (C4) - reducing uncertainties on bundle sheath leakiness

The energetic efficiency of C4 photosynthesis is strongly affected by bundle sheath leakiness, which is commonly assessed with the 'linear version' of the Farquhar model of 13C discrimination, and leaf gas exchange and 13C composition data. But, the linear Farquhar model is a simplification of the full mechanistic theory of ? in C4 plants, potentially generating errors in the estimation of leakiness. In particular, post-photosynthetic C isotope fractionation could cause large errors, but has not been studied in any detail. The present project aims to improve the understanding of the ecological and developmental/physiological factors controlling discrimination and leakiness of the perennial grass Cleistogenes squarrosa. C. squarrosa is the most important member of the C4 community which has spread significantly in the Mongolia grasslands in the last decades. It has an unusually high and variable discrimination, which suggests very high (and potentially highly variable) leakiness. Specifically, we will conduct the first systematic study of respiratory 13C fractionation in light and dark at leaf- and stand-scale in this C4 species, and assess its effect on discrimination and estimates of leakiness. These experiments are conducted in specialized 13CO2/12CO2 gas exchange mesocosms using ecologically relevant scenarios, testing specific hypotheses on effects of environmental drivers and plant and leaf developmental stage on discrimination and leakiness.

Schwerpunktprogramm (SPP) 1488: Planetary Magnetism (PlanetMag), Ground-truthing magnetic recording in meteorites

Whether primordial bodies in the solar system possessed internally-generated dynamos is a fundamental constraint to understand the dynamics and timing of early planetary formation. Paleointensity studies on several meteorites reveal that their host planets possessed magnetic fields within an order-of magnitude of the present Earths field. Interpretation of paleointensity data relies heavily on fundamental knowledge of the magnetic properties of the magnetic carriers, such as the single to multidomain size threshold or how the saturation magnetization varies as a function of grain size, yet very little knowledge exists about these key parameters for some of the main magnetic recorders in meteorites: the iron-nickel alloys. Moreover, most meteorites have experienced some amount of shock during their histories, yet the consequence of even very small stresses on paleointensity data is poorly known.We wish to fill these gaps by magnetically characterizing Fe-Ni alloys as a function of grain size and by determining how absolute and relative paleointensity data are biased by strain levels lower than those petrologically observable (less than 4-5 GPa). For example, our preliminary work shows that an imposed stress of 0.6 GPa will reduce absolute paleointensity estimates by 46Prozent for single domain magnetite-bearing rocks. In general, paleointensity determinations possess inherent disadvantages regarding measurement precision and the inordinate amount of human time investment. We intend to overcome these limitations by extending and improving our fully automated magnetic workstation known as the SushiBar.

(Bio)geochemical data Pürgschachen Moor

The dataset contains multi-proxy-analyses (element geochemistry, stable Pb isotopes, humification index, ash content) of a 500-cm-long, 14C dated peat core covering the past ~5000 years from the ombrotrophic Pürgschachen Moor in the Styrian Enns Valley (Austrian Alps).

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