The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ Helmholtz Centre for Geosciences. The WSM database release 2025 contains 100,842 data records within the Earth’s crust. The data are provided in two formats: Excel-file (wsm2025.xlsx) and comma separated fields (wsm2025.csv). Data records with reliable A-C quality are displayed in the World Stress Map (doi:10.5880/WSM.2025.002). Further detailed information on the WSM quality ranking scheme 2025, guidelines for the analysis of borehole logging data, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org. The database structure and content is explained in the WSM Technical Report TR 25-01 (https://doi.org/10.48440/wsm.2025.001).
The International Geodynamics and Earth Tides Service (IGETS) was established in 2015 by the International Association of Geodesy IAG. IGETS continues the activities of the Global Geodynamics Project (GGP) between 1997 and 2015 to provide support to geodetic and geophysical research activities using superconducting gravimeter (SG) data within the context of an international network. As part of this network, the Eifel Gravimetric Observatory Germany (EIGOG) was established by the GFZ Helmholtz Centre for Geosciences in August 2025. Continuous time-varying gravity and atmospheric pressure data from the SG at EIGOG are integrated in the IGETS data base hosted by GFZ. The EIGOG observatory is located at the Buchholz Provostry (Propstei Buchholz) in the municipality of Burgbrohl. It is part of a multiparameter station for the monitoring and analysis of seismic and volcanic signals within the Central European Volcanic Province Observatory (CVO) in the Eifel region. Additional sensors at Buchholz are GNSS, InSAR corner reflector, seismometer, tiltmeter, groundwater level and a weather station. The operation and maintenance of the EIGOG instrumentation is done by staff of the GFZ. EIGOG is a high precision gravimetric observatory with the dual-sphere OSG D037 manufactured by GWR Instruments as core instrument, one of the two SGs operating at Sutherland, South Africa, until December 2024 (Förste et al., 2016, http://doi.org/10.5880/igets.su.l1.001). The time series of gravity and barometric pressure from the OSG D037 starts in August 2025. The SG is active and the time series is kept up to date regularly with a time delay of a few months. The time sampling of the raw gravity and barometric pressure data of IGETS Level 1 is 1 second and 1 minute. For a detailed description of the IGETS data base and the provided files see Voigt et al. (2016, http://doi.org/10.2312/GFZ.b103-16087).
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.
During the period from 1996 to 2007 five cruises operated by BGR acquired seismic lines from the German EEZ. The aim of these expeditions was a detailed survey of the geological structure of the seabed from the North Sea and Baltic Sea. The five GML files (for each cruise one) together with a Readme.txt file are provided in ZIP format (MSSP-EEZ-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ Helmholtz Centre for Geosciences. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale. The stress map displays A-C quality stress data records of the Earth’s crust from the WSM database release 2025 (doi:10.5880/WSM.2025.001). Further detailed information on the WSM quality ranking scheme 2025, guidelines for the borehole logging data, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org.
PANGAEA - Data Publisher for Earth & Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. The successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.
Die Anwendung dient zur Verwaltung von Fach- und Bewertungsdaten der Geophysik: Gravimetrie, Geomagnetik, Seismik, Geoelektrik, Seismologie Inhalt: Daten geophysikalischer Untersuchungen Formen: Verarbeitungs- und Auskunftssystem
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.
This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, within the CTBT-relevant infrasound range (around 0.01-4 Hz), this dataset covers higher frequencies (1-3 Hz) and is therefore called the ‘hf’ product. The temporal resolution (time step and window length) is 5 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022
This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset, called the ‘maw’ product, covers a very low frequency range of infrasound (0.02-0.07 Hz). The temporal resolution (time step and window length) is 30 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022.
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