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PANGAEA

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. The the commitment of the hosting institutions ensures FAIRness of published data. Furthermore, PANGAEA guarantees TRUSTed long-term availability (greater than 10 years) of its content. 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 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.

GeolDG: 2D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands

Der Datensatz umfasst die Nachweisdaten der 2D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und von denen mindestens eine Profillinie in der Ausschließlichen Wirtschaftszone Deutschlands liegt oder deren Grenzverlauf kreuzt.

GeolDG: 3D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands

Der Datensatz umfasst die Nachweisdaten der 3D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und deren überdeckte Flächen mindestens teilweise in der Ausschließlichen Wirtschaftszone Deutschlands liegen.

World Stress Map Database Release 2025

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).

Eifel Large-N contribution of temporary stations by the Goethe University Frankfurt

Temporary stations of the Goethe University Frankfurt as contribution to the virtual network _EIFELLNX. Waveform data is available from the GEOFON data centre, under network code 6X.

INSPIRE-WMS ST GE-GP, Messgebiete, Messstationen

Der Dienst stellt die Gebiete geophysikalischer Untersuchungen, unterteilt in die einzelnen Messverfahren Geoelektrik, Geomagnetik, Gravimetrie, Seismik sowie die Stationen der Erdbebenüberwachung dar. Die Informationen zu den geophysikalischen Untersuchungen beinhalten Angaben zum Gebiet, Zeitraum der Messungen, Ergebnisberichte und Bezeichnungen der Ablage im Fachinformationssystem Geophysik. Die seismologischen Überwachungsstationen in Sachsen-Anhalt enthalten Informationen zu Namensraum und Identifikation, Plattform- und Stationstyp, den Rang der Station in überregionalen Messnetzen und Links auf Aufzeichnungsergebnisse und Dokumentationsseiten zum Verbundsystem. Messdaten sind nicht Bestandteil dieser Datensätze.

Integrated observations from NEAR shore sourcES of Tsunamis: towards an early warning system (NEAREST)

The NEARESTproject (Integrated observations from NEAR shore sourcES of Tsunamis:  towards an early warning system) aimed at the identification and characterization of potential near-shore sources of tsunamis in the Gulf of Cadiz. This area is well known from the catastrophic earthquake and tsunami that destroyed Lisbon and several other places mainly along the EastAtlantic coast on November 1st, 1755. One of the project's work packages dealed with monitoring of recent seismic activity in the Gulf of Cadiz area. For this purpose 24 broadband ocean-bottom seismometers (OBS) from the German DEPAS instrument pool were deployed for 11 months in addition to the GEOSTAR multi-parameter deep-sea observatory and two temporary land stations in Portugal. The GEOSTAR observatory and the 24 OBS were deployed and recovered during two expeditions with RV Urania in 2007 and 2008. The OBSs consist of  three‐component Guralp CMG‐40T‐OBS seismometers and HighTech HTI‐04‐PCA/ULF hydrophones. A wide range of signals was recorded, ncluding teleseismic, regional and local earthquakes, and low‐frequency (∼20 Hz) vocalization of fin whales.  The GEOSTAR  observatory was again deployed between 2009 and 2011. The Portuguese temporary land station PDRG was additionally recording during the NEAREST project. Originally, the position of recovery on deck was taken to calculate the mean coordinate of the OBS at depth from deployment and recovery coordinates. In most cases the difference in coordinates between deployment and recovery is very small (table 3 and 4 in Carrara et al., 2008). For two stations, the location at the seafloor could be measured by triangulation (Carrara et al., 2008). Due to experience of other experiments over the years, we finally suggest to use the deployment coordinates as the station coordinates for all stations that could not be tri-angulated. The clocks were synchronized with GPS time before the deployment and if possible again after the recovery. Unfortunately, most of the batteries were empty at the end of the recording period. That either made it impossible to realize the second synchronisation (skew time measurement) or in some case also caused erroneous synchronisations. Therefore, the internal clock drift was estimated by ambient noise analysis (Corela, 2014). The internal clock drifts were corrected using a linear interpolation method. Generally, the data quality is very good, especially for the intended study of local and regional earthquakes. Studies relying on wideband seismological recordings can also be carried out. The sensor package and noise conditions hamper the use for broadband and very broadband applications. Unfortunately, also not all channels operated properly, therefore hampering the use of multi-component methods for the relevant stations. We thank the captain E. Gentile, crew, G. Carrara, and all participants of the R/V URANIA expeditions in 2007 and 2008. We are grateful to all people and institutions involved in the NEAREST project. Waveform data is available from the GEOFON data centre, under network code 9H.

Seismological experiment at Strokkur from 2020

Seismological experiment at Strokkur from 2020" is a seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Gylfi P. Hersir formerly at ISOR Iceland. The geyser is part of the Haukadalur geothermal area in south Iceland, which contains numerous geothermal anomalies, hot springs, and basins (Walter et al., 2018). Strokkur is a pool geyser and has a silica sinter edifice with a water basin on top, which is about 12m in diameter with a central tube of more than 20m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from March 2020 using three broadband seismic stations (Nanometrics Trillium Compact 120s). Sensors were buried at distances of 38.8m (GE4, SE), 47.3m (GE3, SW), and 42.5m (GE2, N) from Strokkur center. Within this time period about 1 month of data is missing due to power outages. At any other times at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, currently a catalogue of 506,131 water fountains was determined and further investigated in Eibl et al. (2025). In addition, Eibl et al. (2025) assessed the effect of the weather on the system including the bubble trap suspected at around 24 m depth by Eibl et al. (2021). Waveform data are available from the GEOFON data centre, under network code 2Z.

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.

Earth Magnetic Anomaly Grid 1:35,000,000 (2 arc-minute resolution) (EMAG2)

A global Earth Magnetic Anomaly Grid (EMAG2) was compiled from satellite, ship and airborne magnetic measurements. (Maus et al., 2009) Over the continents and the Arctic we made use of exisiting magnetic anomaly grids, whereas original ship and airborne trackline data were processed over the rest of the oceans, wherever available. CHAMP satellite magnetic measurements provided the magnetic field at wavelengths above 330 km. The EMAG2 grid is available at http://geomag.org and http://ngdc.noaa.gov. Directional gridding Due to the sparsity of magnetic field measurements in the southern oceans, it is necessary to interpolate the magnetic field between tracklines. Our interpolation algorithm takes the direction of the magnetic lineations into account. Tje lineations are parallel to the isochrons, which are perpendicular to the gradient of the age of teh oceanic crust. We use the age grid of Müller et al. (2008). The magnetic field ad a given grid point is computet by Least Squares Collocation from the surrounding measurements. If the point is on land, we use an isotropic correlation function with Rc = 14 km correlation length. Over the oceans we use Rc = 56 km parallel to the isochrons and Rc = 14 km in the spreading direction. Measurements seperated from the grid point by an age discontinuity or a topographic feature are excluded from the collation.

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