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A database of analogue models and geophysical data investigating caldera resurgence; DynamiCal project

In this dataset we provide data for 6 experimental models of caldera collapse and subsequent resurgence monitored through geophysical sensors (a force or “impact sensor”, Piezotronics PCB 104 200B02 and a Triaxial piezoelectric accelerometer, Model 356B18). The analogue modelling experiments were carried out at the TOOLab (Tectonic Modelling Laboratory), which is a joint laboratory between the Istituto di Geoscienze e Georisorse of the Consiglio Nazionale delle Ricerche, Italy and the Department of Earth Sciences of the University of Florence. The laboratory work that produced these data was partly supported by the European Plate Observing System (EPOS), by the Joint Research Unit (JRU) EPOS Italia and by the “Monitoring Earth's Evolution and Tectonics” (MEET) project (NextGenerationEU). Specifically, this work was performed in the frame of the DynamiCal project, funded by the 2° TNA-NOA call of the ILGE-MEET project.

Watershed Boundaries of Global Runoff Data Centre Stations

The Watershed Boundaries of all GRDC Stations are generated on the basis of HydroSHEDS (Lehner et al., 2008) and the Multi-Error-Removed Improved-Terrain (MERIT) Hydro dataset (Yamazaki et al., 2019). It is updated as soon as changes in the metadata occur or new stations have to be implemented. The dataset is licensed under CC-BY-4.0. Source: Lehner, B., Verdin, K., and Jarvis, A.: New Global Hydrography Derived From Spaceborne Elevation Data, EOS, 89, 93-94, https://doi.org/10.1029/2008EO100001, 2008. Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., and Pavelsky, T. M.: MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset, Water Resources Research, 55, 5053-5073, https://doi.org/10.1029/2019WR024873, 2019. The Watershed Boundaries of all GRDC Stations are generated on the basis of HydroSHEDS (Lehner et al., 2008) and the Multi-Error-Removed Improved-Terrain (MERIT) Hydro dataset (Yamazaki et al., 2019). It is updated as soon as changes in the metadata occur or new stations have to be implemented. The dataset is licensed under CC-BY-4.0. Source: Lehner, B., Verdin, K., and Jarvis, A.: New Global Hydrography Derived From Spaceborne Elevation Data, EOS, 89, 93-94, https://doi.org/10.1029/2008EO100001, 2008. Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., and Pavelsky, T. M.: MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset, Water Resources Research, 55, 5053-5073, https://doi.org/10.1029/2019WR024873, 2019.

Physical oceanography during RV HEINCKE cruise HE655/2

Conductivity-temperature-depth profiles were measured using a Seabird SBE 911plus CTD during RV HEINCKE cruise HE655/2. The CTD was equipped with duplicate sensors for temperature (SBE3plus), conductivity (SBE4) and oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer and an altimeter (PSA-916 Teledyne (Benthos)) were mounted to the CTD. Temperature, conductivity and oxygen sensors are calibrated by the manufacturer once a year before being mounted in January. They are used throughout the year and no post-cruise or in-situ calibration is applied. All other sensors are calibrated irregularly. Data were connected to the station book of the specific cruise as available in the DSHIP database. Processing of the data including removal of obvious outliers followed the procedures described in CTD Processing Logbook of RV HEINCKE (hdl:10013/epic.47427). The processing report for this dataset is linked below.

Monitoring of CO2 emissions from passenger cars, 2023 - Final

The Regulation (EU) No 2019/631 requires Countries to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2 (NEDC and WLTP protocols), masses of the vehicle, wheel base, track width, engine capacity and power, fuel type and mode, eco-innovations and electricity consumption. Data for EU-27 and UK are reported in the main database. Since 2018 Iceland is also included in the database. Since 2019 Norway is also included in the database. For downloading the data in the elastic data viewer please use Edge, Chrome, Firefox or Safari.

Master tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB383, Rostock - Rostock, 2025-07-19 - 2025-07-20

Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB383 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB383 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

Master tracks in different resolutions of HEINCKE cruise HE662, Bremerhaven - Bremerhaven, 2025-05-24 - 2025-06-13

Raw data acquired by position sensors on board RV Heincke during expedition HE662 were processed to receive a validated master track which can be used as reference of further expedition data. During HE662 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.9, Sep. 2025

The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.

Multibeam bathymetry processed data (Kongsberg EM2040 working area dataset) of RV ALKOR during cruise AL632, Adlergrund, Baltic Sea

Swath sonar bathymetry data used for that dataset was recorded during RV ALKOR during cruise AL632 using Kongsberg EM2040 multibeam echosounder. The cruise took place between 06.05.2025 - 13.05.2025 in the German Baltic Sea. The approximate average depth of the mapped area is around 18m. To enhance MBES data accuracy, sound velocity profile (SVP) casts were conducted in the vicinity of the working area prior to and after each survey using a CTD. In the case of the Adlergrund_West area the SVP after the survey was applied via the processing software Qimera (https://qps.nl/qimera/#). Data were manually edited for false measurements using Qimera. A raster was calculated and stored in GeoTIFF format with a 0.5 m resolution (negative values), WGS84 as vertical datum and UTM as a projection. Two working areas are located within (Adlergrund West) and adjacent to (Reference Area) the Marine Protected Area Adlergrund. The mapping has been conducted for baseline habitat studies in the area.

Biogeochemical modelling of biosphere-atmosphere-hydrosphere interactions

This project aims at the improvement and testing of a modeling tool which will allow the simulation of impacts of on-going and projected changes in land use/ management on the dynamic exchange of C and N components between diversifying rice cropping systems and the atmosphere and hydrosphere. Model development is based on the modeling framework MOBILE-DNDC. Improvements of the soil biogeochemical submodule will be based on ICON data as well as on results from published studies. To improve simulation of rice growth the model ORYZA will be integrated and tested with own measurements of crop biomass development and transpiration. Model development will be continuously accompanied by uncertainty assessment of parameters. Due to the importance of soil hydrology and lateral transport of water and nutrients for exchange processes we will couple MOBILE-DNDC with the regional hydrological model CMF (SP7). The new framework will be used at field scale to demonstrate proof of concept and to study the importance of lateral transport for expectable small-scale spatial variability of crop production, soil C/N stocks and GHG fluxes. Further application of the coupled model, including scenarios of land use/ land management and climate at a wider regional scale, are scheduled for Phase II of ICON.

Understanding the ecology and virulence of Legionella spp. populations in freshwater systems in Germany, Palestine and Israel

Bacteria of the genus Legionella cause waterborne infections resulting in severe pneumonia. In Europe, 70Prozent of the cases of the so-called Legionnaires disease (LD) originate from strains of L. pneumophila serogroup (Sg) 1, 20Prozent from other L. pneumophila serotypes and 10Prozent from other Legionella species. In contrast, in the Middle East most legionella infections are due to L. pneumophila Sg3. The overall objective of this project is to advance current knowledge on the ecology of legionella in freshwater systems, the environmental factors affecting their occurrence, virulence potential and infectivity and to understand their transmission to humans. We will analyze the major environmental factors regulating the abundance of legionella, such as grazing and assimable dissolved organic carbon, because the occurrence of these heterotrophic bacteria in aquatic habitats is highly dependent on these factors. We will use an integrated molecular approach based on highresolution diagnostics of environmental samples and clinical isolates to determine the abundance, activity and virulence potential of Legionella populations in-situ. Combining environmental and molecular epidemiological data, we aim at understanding the link between ecology and population dynamics of legionella and cases of LD. The project will result in a novel understanding of the molecular epidemiology of legionella and provide new surveillance tools and strategies to prevent LD.

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