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OBS stations of the GEOSTOR project in the German Bight and in the German Baltic Sea (WMS)

The dataset includes the locations of OBS stations (Ocean Bottom Seismometers) operated in the German Bight during cruise MSM100 with R.V. Maria S. Merian. The time interval from 13.05.2021 to 15.05.2021 has been analysed in a phase without airgun operation for passive recording with 4.5 Hz geophones. Furthermore, the dataset contains locations of 3 broadband OBS systems which were operated during an experiment at the Darss ramp in the German Baltic Sea. The records were analysed in the time interval 23.01.2018 to 01.04.2018.

OBS stations of the GEOSTOR project in the German Bight and in the German Baltic Sea

The dataset includes the locations of OBS stations (Ocean Bottom Seismometers) operated in the German Bight during cruise MSM100 with R.V. Maria S. Merian. The time interval from 13.05.2021 to 15.05.2021 has been analysed in a phase without airgun operation for passive recording with 4.5 Hz geophones. Furthermore, the dataset contains locations of 3 broadband OBS systems which were operated during an experiment at the Darss ramp in the German Baltic Sea. The records were analysed in the time interval 23.01.2018 to 01.04.2018.

Global reference histograms of the IMS infrasound broadband detection lists

This data set builds upon the broadband detection lists of the International Monitoring System (IMS)’s infrasound stations. The infrasound data of these stations are regularly (re-)processed at the German National Data Centre at BGR (e.g., Ceranna et al., 2019; https://doi.org/10.1007/978-3-319-75140-5_13) using the Progressive Multi-Channel Correlation (PMCC) array processing method (Cansi, 1995; https://doi.org/10.1029/95GL00468). The latest reprocessing with 26 one-third octave spaced frequency bands in the IMS band of interest (0.01 to 4 Hz) included all 53 stations that were certified within the period 2003 to 2020. Based on the resulting broadband detection lists, this data set expands on former analyses of the coherent ambient noise. For each station with a data availability of at least one year (by the end of 2020), monthly reference histograms for the detection parameters back azimuth, apparent speed, and root-mean-squared amplitude are provided. The histograms provide a means to determine the deviation from nominal monthly behaviour and thus enable assessing the plausibility of detections and potential anomalies – without determining their cause – in the detected parameters. Overall, these quality metrics will be, among other applications, a useful supplement to the open-access IMS infrasound data products provided by Hupe et al., which are also available in BGR’s product centre. Further details of the reference histograms are described in the following publication by Kristoffersen et al.: "Updated global reference models of broadband coherent infrasound signals for atmospheric studies and civilian applications" (https://doi.org/10.1029/2022EA002222).

Wiederherstellung von Ökosystemen und Landschaften über verschiedene räumliche und zeitliche Skalen zur Förderung der Biodiversität und Klimaresilienz in Agrarlandschaften

Der globale Wandel beeinträchtigt die Biodiversität und Ökosystemfunktionen in Agrarlandschaften durch den Klimawandel und die Nutzungsintensivierung sowie die Degradation von Lebensräumen. Um diesen negativen Effekten entgegenzuwirken, wurden verschiedene Maßnahmen zur Wiederherstellung von Ökosystemen und Landschaften (ELR) entwickelt. Allerdings fehlt es in der Renaturierungsökologie noch an einem tieferen Verständnis für die Schlüsselindikatoren beim Übergang in wiederhergestellte, resiliente Ökosysteme und Landschaften, an gut konzipierten Experimenten, welche Faktoren für den Erfolg oder Misserfolg von ELR-Maßnahmen zeigen, als auch an komplexen Analysen vorhandener Daten. Ziel von AgriRestore ist es die Auswirkungen von temporären und permanenten ELR-Maßnahmen in Agrarlandschaften umfassend zu bewerten. In der extrem trockenen und teilweise sehr strukturarmen Agrarlandschaft Sachsen-Anhalts werden wir entlang eines Landschaftsgradienten in einem innovativen Ansatz Feld- mit Mesokosmos-Experimenten kombinieren und die Fernerkundung für eine räumliche Skalierung der Muster nutzen. Durch Meta-Analysen und Wissensgraphen werden außerdem vorhandene Studien synthetisiert sowie Nutzen, Risiken und Unsicherheiten von ELR-Maßnahmen bewertet. Durch den Vergleich von wiederhergestellten und degradierten Agrarökosystemen werden die Auswirkungen von ELR-Maßnahmen auf die ober- und unterirdische Biodiversität und die damit verbundenen Ökosystemfunktionen (einschließlich Ökosystemleistungen und -fehlleistungen) analysiert. Positive Langzeitwirkungen temporärer ELR-Maßnahmen werden durch die Kombination von Zeitreihen mit multiskaligen Fernerkundungsdaten erforscht. Durch neuartige analytische Ansätze werden die feldbasierten Ergebnisse synthetisiert und die Übertragbarkeit auf größere räumliche Skalen getestet. Mit Fokus auf Synergien wird unsere Forschung einzigartige und umfangreiche Daten zu den Effekten von ELR-Maßnahmen liefern. Darauf aufbauend werden verschiedene Szenarien entwickelt und Schlüsselindikatoren für die erfolgreiche Wiederherstellung von resilienten Agrarökosystemen und Landschaften über räumliche und zeitliche Skalen hinweg abgeleitet. Zur Verstetigung unseres RI wird an der Hochschule Anhalt in Zusammenarbeit mit nationalen und internationalen Forschern ein Exzellenzzentrum für Landschafts- und Habitat-Wiederherstellung (ÉCLAIR) etabliert, welches zukünftig weitere degradierte Ökosysteme in den Fokus nehmen wird. Zur integrativen Ausbildung von Nachwuchswissenschaftlern werden wir ein Graduiertenkolleg einrichten: Young#ÉCLAIR. Durch die Kombination von Fachwissen aus den Bereichen ökologische Wiederherstellung und Biodiversitätsforschung, Fernerkundung und Datenwissenschaft innerhalb von AgriRestore sind wir in der Lage, das theoretische Verständnis für die Wiederherstellung von Ökosystem und Landschaften maßgeblich zu verbessern sowie neue Methoden und Techniken für die Renaturierungsökologie zu entwickeln.

HALO database

HALO-DB is the web platform of a data retrieval and long-term archive system. The system was established to hold and to manage a wide range of data based on observations of the HALO research aircraft and data which are related to HALO observations. HALO (High-Altitude and LOng-range aircraft) is the new German research aircraft (German Science Community (DFG)). The aircraft, a Gulfstream GV-550 Business-Jet, is strongly modified for the application as a research platform. HALO offers several advantages for scientific campaigns, such as its high range of more than 10000 km, a high maximum altitude of more than 15 km, as well as a relatively high payload.

Global datasets of the mean orientation of maximum horizontal stress S_Hmax on regular grids

The World Stress Map (WSM) is the global compilation of information on the present-day stress field in the Earth's crust. The current WSM database release 2025 (Heidbach et al., 2025) has 100,842 data records, but the data are unevenly distributed and clustered. To analyse the wavelength of the crustal stress pattern of the orientation of maximum horizontal stress SHmax, we use so-called smoothed stress maps that show the mean SHmax orientation on regular grids. The mean SHmax orientation is estimated using the 77,365 A-C data records from the WSM database release 2025 in the Matlab® script stress2grid v.1.1 (Ziegler and Heidbach, 2019) which is based on the circular statistics of axial data. We use a search radius around the grid point and compute the mean SHmax orientation if at least five data records are within the search radius. The significance of the results is further improved by the weighting of the input data by three different parameters. 1.) Data quality weighting with wQ=1/15 for A-, wQ=1/20 for B-, and wQ = 1/25 for C-quality data. 2.) Inverse distance weighting relative to the grid point. This is based on the assumption that the closer a data record is to a grid point, the more strongly the stress state at the grid point influences that data record. Consequently, the contribution of an individual data record to the SHmax orientation increases with decreasing distance to the grid point. 3.) Minimum distance threshold: Data records located very close to a grid point would be overrepresented by the distance weight. To avoid this, a minimum distance threshold is applied such that all data records within 10% of the search radius are assigned the same weighting coefficient. Using a fixed search radius effectively filters from the SHmax data records the wavelength defined by the chosen search radius and does not resolve rotations of SHmax at smaller spatial scales. We provide 13 global datasets for SHmax calculated with search radii of 500 km, 250km, 100km, and 50 km. For the 500 km and 250 km search all four grids are used on 2°, 1°, 0.5°, and 0.2°. For the 100 km search radius the 1°, 0.5°, and 0.2° grids are used and for the 50 km search radius only the 0.5° and 0.2° grids are applied. Details on the format of the data files with the mean SHmax orientation are provided in the accompanying Readme file. Further details on the WSM database release 2025 are available in the WSM Technical Report 25-01 (Rajabi et al., 2025).

Processed seismic data of Cruise BGR15-2 2015 (PANORAMA-2)

The PANORAMA-2 research cruise was carried out between August 15th and September 20th 2015 aboard the Italian research vessel OGS Explora, like the PANORAMA-1 cruise in 2013. The intended survey area was the European sector of the Arctic east and southeast of the Svalbard archipelago in the area of the northern Barents Sea. Main target of the PANORAMA-2 cruise was the acquisition of new geophysical data and the probing of surficial sediments in the underexplored area of the Sørkapp Basin and Olga Basin. In the course of the 20 day lasting Leg1 of the PANORAMA-2 cruise geophysical data acquisition was carried out. About 1750 km of 2D multi-channel seismic data were acquired and about 350 km of wide angle seismic data by means of sonobuoys. Sediment echosounder data, multi-beam data, gravity data and geomagnetic data were acquired during the entire cruise in a 24/7 mode within the survey area. After a 1-day stopover in Longyearbyen for a crew change of a part of the scientific crew, the research vessel OGS Explora returned to the survey area for another 11 days. During Leg-2 of the PANORAMA-2 cruise the surficial sediments were sampled by means of gravity corer, multi corer and dredge at 34 stations all together. Sediment sampling was carried out during day-light times only. Night times were used for acquisition of geomagnetic data, gravity data, sediment echosounder data and multi-beam data.

Station Explorer - a web application for exploring and accessing seismic station data from EIDA data centres

Station Explorer is a web application for exploring and accessing seismic station data from the federated data centres of the European Integrated Data Archives. It provides researchers, seismologists, and data analysts with an intuitive interface to discover, analyze, and download seismic data from multiple networks. The application features both station-based and event-based data exploration capabilities, with real-time data fetching and interactive visualizations. It is able to present quality metrics obtained from existing data centre web services.

Infrasound array signal processing results of far-field stations for the Falcon 9 rocket stage re-entry over central Europe on 19 February 2025

Supplementary information to the manuscript “Seismoacoustic analysis of a Falcon 9 rocket stage re-entry over central Europe on 19 February 2025” by Hupe et al. (2026). Results of the Progressive Multi-Channel Correlation (PMCC) processing for far-field infrasound stations, displayed in Figure 7 of the manuscript (IS26 in Germany, NRSI in Norway, HFSI in Sweden). The netcdf files contain the following detection parameters of single arrivals: Time, duration, back-azimuth, apparent velocity, frequency, family identifier. Data format: One .nc file for each station.

INSPIRE ST GE-GP, Messgebiete, Messstationen

Datenebene enthält die Gebiete geophysikalischer Untersuchungen unterteilt in die einzelnen Messverfahren Geoelektrik, Geomagnetik, Gravimetrie, Seismik. Die Informationen zu den geophysikalischen Untersuchungen beinhalten Angaben zum Gebiet, Zeitraum der Messungen, Ergebnisberichte und Bezeichnungen der Ablage im Fachinformationssystem. Darüber hinaus enthält die Datenebene die Standorte der seismologischen Überwachung in Sachsen-Anhalt, Informationen zu den Stationen und der Überwachungsergebnisse. Messdaten sind nicht Bestandteil dieses Datensatzes.

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