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Quantified community composition of aquatic insect larvae with urbanization and environmental parameters in artificial microhabitats, Salzburg, June-August 2021

Urbanization affects ecological communities but urban ecology has mostly focused on large and charismatic species. Water-filled tree holes and other ephemeral small standing waters in cities constitute unique but inconspicuous breeding habitats for a range of insects. Their biodiversity is not well known and how their communities respond to increased urbanization in particular, has rarely been studied. Using a Citizen Science Project, we investigated how urbanization (measured as imperviousness, human population density and altered temperature), additional environmental parameters (pH, electric conductivity) and detritus serving as a food source affected larval insect communities in artificial aquatic microhabitats. We found that these habitats were colonized quickly by a range of insect taxa. Their community abundance, richness and decomposition rates were largely stable across different levels of urbanization. Fine detritus content increased larval abundance. Community composition shifted strongly with urbanization. The most abundant and frequent species in our study, the exotic mosquito species Aedes japonicus, responded negatively to imperviousness. Aquatic microhabitats could be shown to be important habitats for aquatic insects in cities. However, their community composition may change with increased urbanization. As our results showed, exotic species such as mosquitoes may dominate the communities in these habitats. In the case of vector species, high abundances may affect human and animal health via increased pathogen transmission. Therefore, we suggest raising awareness about potential risks of these habitats and possible measures preventing the establishment and spread of harmful species, while still supporting native biodiversity in urban spaces.

The iron-snow regime in Fe-FeS cores: a numerical and experimental approach

In the Earth, the dynamo action is strongly linked to core freezing. There is a solid inner core, the growth of which provides a buoyancy flux that drives the dynamo. The buoyancy in this case derives from a difference in composition between the solid inner core and the fluid outer core. In planetary bodies smaller than the Earth, however, this core differentiation process may differ - Fe may precipitate at the core-mantle boundary (CMB) rather than in the center and may fall as iron snow and initially remelt with greater depth. A chemical stable sedimentation zone develops that comprises with time the entire core - at that time a solid inner core starts to grow. The dynamics of this system is not well understood and also whether it can generate a magnetic field or not. The Jovian moon Ganymede, which shows a present-day magnetic dipole field, is a candidate for which such a scenario has been suggested. We plan to study this Fe-snow regime with both a numerical and experimental approach. In the numerical study, we use a 2D/3D thermo-chemical convection model that considers crystallization and sinking of iron crystals together with the dynamics of the liquid core phase (for the 3D case the influence of the rotation of the Fe snow process is further studied).The numerical calculations will be complemented by two series of experiments: (1) investigations in metal alloys by means of X-ray radioscopy, and (2) measurements in transparent analogues by optical techniques. The experiments will examine typical features of the iron snow regime. On the one hand they will serve as a tool to validate the numerical approach and on the other hand they will yield important insight into sub-processes of the iron snow regime, which cannot be accessed within the numerical approach due to their complexity.

NECPR: Additional Reporting Obligations in the area of Energy Efficiency (Annex XVII) dataset

Additional reporting obligations in the area of energy efficiency' is a dataset reported by EU Member States and Contracting Parties of the Energy Community under the Governance Regulation. The dataset includes information on reasons why energy consumption is stable or growing per sector, floor area of government buildings not meeting energy performance requirements, number of energy audits carried out in large companies, applied national primary energy factor for electricity, number and floor area of new and renovated nearly zero-energy buildings (NZEB), and internet links to lists/interfaces of energy services.

Agricultural And Aquaculture Facilities / Tierhaltungs- und Aufzuchtanlagen in Brandenburg

Der Datensatz Agricultural And Aquaculture Facilities / Tierhaltungs- und Aufzuchtanlagen in Brandenburg ist die Datengrundlage der interoperablen INSPIRE-Darstellungs- (WMS) und Downloaddienste (WFS): Tierhaltungsanlagen nach BImSchG in Brandenburg - Interoperabler INSPIRE View-Service (WMS-AF-TIERE) Tierhaltungsanlagen nach BImSchG in Brandenburg - Interoperabler INSPIRE Download-Service (WFS-AF-TIERE) Der Datenbestand beinhaltet die Punktdaten zu den betriebenen Tierhaltungsanlagen aus dem Anlageninformationssystem LIS-A. Die Angaben zu den Anlagen enthalten jeweils den Standort und die genehmigte Leistung. Dabei erfolgte eine sog. Schematransformation und Belegung der INSPIRE-relevanten Attribute. Der Datensatz Agricultural And Aquaculture Facilities / Tierhaltungs- und Aufzuchtanlagen in Brandenburg ist die Datengrundlage der interoperablen INSPIRE-Darstellungs- (WMS) und Downloaddienste (WFS): Tierhaltungsanlagen nach BImSchG in Brandenburg - Interoperabler INSPIRE View-Service (WMS-AF-TIERE) Tierhaltungsanlagen nach BImSchG in Brandenburg - Interoperabler INSPIRE Download-Service (WFS-AF-TIERE) Der Datenbestand beinhaltet die Punktdaten zu den betriebenen Tierhaltungsanlagen aus dem Anlageninformationssystem LIS-A. Die Angaben zu den Anlagen enthalten jeweils den Standort und die genehmigte Leistung. Dabei erfolgte eine sog. Schematransformation und Belegung der INSPIRE-relevanten Attribute.

Use cases from the German NTSPortal on the systematic use of high-resolution mass spectrometry non-target screening data in environmental monitoring and chemicals management

Background Society aims for a pollutant-free environment, reflected in initiatives under the European Green Deal, which seek to reduce hazardous substances and promote safe, sustainable chemical use. Comprehensive exposure data are needed to identify sources, understand mixtures and eliminate sources of chemical pollution. High-resolution mass spectrometry non-target screening (HRMS NTS) is increasingly used in environmental regulatory context to chemically characterise the environment as completely as possible and retrospectively screen for known and emerging substances. Results This study provides use cases for monitoring and chemicals management with data from the German NTSPortal, a database and visualisation tool for HRMS NTS data from surface water and suspended particulate matter of major German rivers. Its internal spectral library enables substance identification comparable to standardised target analysis, supporting regulatory acceptance of HRMS NTS data for prioritisation and mixture assessment. To demonstrate its potential to research and regulation, we characterised the spatial and temporal distribution of riverine chemical mixtures and present selected use cases relevant to EU environmental, emission, and chemical legislation. Despite pronounced spatial variability, mixture composition based on presence–absence data remained stable over time, with 855 of 1721 substances detected at least once and 247 occurring ubiquitously. Declining trends for regulated substances such as carbendazim and climbazole illustrate the effectiveness of regulatory measures. Overall, the results showed that NTS data repositories can help overcome fragmented exposure information and enable more consistent use of monitoring data across policy areas, including evaluation of the revised Urban Waste Water Treatment Directive and One Health concepts. Conclusions Data from the German NTSPortal enabled a multi-matrix and temporal characterisation of riverine chemical mixtures, revealing both stable mixture compositions over time and persistent, catchment-specific substances. These data facilitated high-resolution mixture assessments across space and time, alongside trend analyses that meet regulatory needs in environmental monitoring and chemical risk assessment. Further temporal, spatial, chemical and matrix-spanning expansion of HRMS NTS repositories will enhance their value for environmental monitoring programmes. Strengthening interoperability, implementing FAIR data principles, and developing advanced tools for prioritisation, quantification and toxicity prediction, including AI-based approaches, will be crucial to fully realise the regulatory potential of NTS portals in the future. © The Author(s) 2026.

Interoperabler INSPIRE Download-Service: Agricultural And Aquaculture Facilities / Tierhaltungsanlagen nach BImSchG in Brandenburg (WFS-AF-TIERE)

Der interoperable INSPIRE-Downloaddienst (WFS) Agricultural and Aquaculture Facilities gibt einen Überblick über die Tierhaltungs- und Aufzuchtanlagen im Land Brandenburg. Der Datensatz umfasst Geflügel, Rinder, Kälber, Schweine und gemischte Bestände. Die Datenquelle ist das Anlageninformationssystem LIS-A. Gemäß der INSPIRE-Datenspezifikation Agricultural and Aquaculture Facilities (D2.8.III.9_v3.0) liegen die Inhalte INSPIRE-konform vor. Der WFS beinhaltet die FeatureTypes Holding und Site.

Interoperabler INSPIRE View-Service: Agricultural And Aquaculture Facilities / Tierhaltungsanlagen nach BImSchG in Brandenburg - Interoperabler INSPIRE View-Service (WMS-AF-TIERE)

Der interoprable INSPIRE-Viewdienst (WMS) Agricultural and Aquaculture Facilities gibt einen Überblick über die Tierhaltungs- und Aufzuchtanlagen im Land Brandenburg. Der Datensatz umfasst Geflügel, Rinder, Kälber, Schweine und gemischte Bestände. Die Datenquelle ist das Anlageninformationssystem LIS-A. Gemäß der INSPIRE-Datenspezifikation Agricultural and Aquaculture Facilities (D2.8.III.9_v3.0) liegen die Inhalte INSPIRE-konform vor. Der WMS beinhaltet 2 Layer: AgriculturalHolding und Sites. Der Holding-Layer wird gem. INSPIRE-Vorgaben nach Wirstschaftszweigen (NACE-Kategorie "A") untergliedert in: - AF.GrowingOfPerennialCrops: Anbau mehrjähriger Pflanzen (NACE-Kategorie "A.01.2") - AF.AnimalProduction: Tierhaltung (NACE-Kategorie "A.01.4") - AF.MixedFarming: Gemischte Landwirtschaft (NACE-Kategorie "A.01.5")

Timeseries of binned benthic stable carbon isotope from ODP Site 162-982,130-807 and ODP Site 162-982

This dataset contains C. wuellerstorfi stable carbon isotope values binned by marine isotope stage from ODP Site 162-807 and ODP Site 162-982 that span the last 4.5 million years (Feng et al. 2022; Venz et al. 1999, 2002; Hodell & Venz-Curtis 2006). This isotope gradient reflects the accumulation of respired and disequilibrium carbon in the deep Pacific ocean relative to the North Atlantic. Also included are binned probstack δ18O (Ahn et al., 2017) and ΔGMST (Clark et al., 2024) values for comparison to the binned stable carbon isotope values.

Carbon chemistry, stable carbon and oxygen isotopes, and calculated pCO2 and CO2 fluxes over 15 months along the Wiesent karst headwater stream in northern Bavaria, Germany (March 2023-May 2024)

This dataset contains alkalinity, dissolved inorganic carbon (DIC) and dissolved organic carbon (DOC) concentrations, d13C values of DIC, DOC, and particulate organic carbon (POC), d18O values of dissolved oxygen, and calculated partial pressure of CO2 (pCO2), CO2 fluxes, and gas-transfer velocity (k600) from stream-water samples collected at 13 sites along the first 3.25 km of the Wiesent karst headwater stream in northern Bavaria, Germany, from March 2023 to May 2024. The dataset supports analyses of carbonate-system dynamics, oxygen cycling, and CO2 evasion under varying hydroclimatic conditions.

Carbon concentrations, stable carbon isotopes, calculated pCO2 and CO2 fluxes from the White Main headwater stream, Germany, 2023–2024

This dataset contains laboratory-measured alkalinity, dissolved inorganic and organic carbon concentrations, δ13C values of DIC and DOC, and calculated pCO2, CO2 fluxes, and k600 from stream water samples collected along the White Main headwater stream in northern Bavaria, Germany, from March 2023 to April 2024.

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