Dieses Projekt ist ein Teil des DFG-Bündelprojektes 'Rekonstruktiondes spätpleistozänen und holozänen Environments in der westlichen Inneren Mongolei, NW-China'. Zur Klärung der tektonischen, sedimentologischen und hydrogeologischen Entwicklung eines Sedimentbeckens in der Badain Jaran Shamao werden in einem multimethodischen Ansatz elektrisch-elektromagnetische Messungen durchgeführt (Spektrale Induzierte Polarisation, Magnetotellurik, Transiente Elektromagnetik, Bodenradar, Geoelektrik). Aufbauend auf langjährigen Erfahrungen in Wüstengebieten sind optimierte multimethodische Messstrategien und Methoden zur gemeinsamen Inversion der verschiedenen Meßdaten weiter zu entwickeln. Das Vorhaben ist Teil eines interdisziplinären Bündelantrages (Paläoklimatologie, Hydrogeologie, Strukturgeologie, Fernerkundung, Bodenkunde). Hauptforschungsziel des Gesamtantrages ist die Klärung der Frage, ob in Nordafrika nachgewiesene spätquartäre abrupte Klimawechsel in den zentralasiatischen Wüsten einen kontemporären Verlauf zeigen. Ziel: Das Ziel des Projektes ergibt sich aus der Frage, ob in Nordafrika nachgewiesene, spätquartäre, abrupte Klimawechsel in den zentralasiatischen Wüsten einen kontemporären Verlauf zeigen. Seitdem die afrikanische Platte etwa die heutige geographische Position erreicht hat und das tibetische Plateau eine bedeutende Höhenlage entwickelte, besteht ein von letzterem ausgehender, hochtroposphärische Strahlstrom, welcher zu einem Delta über Nordafrika führt mit der Folge der weitgehenden Unterdrückung der für die übrigen Wüstengebiete charakteristischen Sommerniederschläge. Es ist daher von besonderem Interesse zu wissen, ob die am Nordrand des tibetischen Plateaus gelegenen Wüstengebiete eine korrelate Änderung des Environments erfuhren, da die Albedo über dem tibetischen Plateau und seinen Randgebieten Rückwirkungen auf die Zirkulation über den altweltlichen Wüstengürteln zur Folge haben müsste. Deren Steuerung durch Vergletscherung, Vegetationsbedeckung und topographische Position müsste sich in den fluvialen Akkumulationsräumen in den ariden Gebieten nördlich Tibets abzeichnen. Sie bieten besonders günstige Voraussetzungen, da sie wahrscheinlich seit dem Beginn des Quartärs geschlossene und langfristig endorheische Becken darstellen, in denen zeitweise ausgedehnte Endseen entstanden. Die Sedimentmächtigkeit überschreitet nach Vorstudien 230m. Es handelt sich um feinklastische Sedimente, die zum Teil rhythmisch geschichtete sind und einen Zeitraum von 800.000 Jahren überspannen. Es ist eine Feinauflösung sowohl der potamologischen, äolischen wie limnologischen Sedimentführung auf die klimatisch gesteuerten Einträge zu erwarten. Insofern erweisen sich die Sedimentationsräume als Archive für die klimatisch und gegebenenfalls tektonisch gesteuerte Variabilität und Entwicklung innerhalb des tibetischen Orogens und seines nördlichen Vorlandes. (...)
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 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.
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.
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 covers the dominant frequency range of microbaroms (0.15-0.35 Hz) and is therefore called the ‘mb_lf’ product. The temporal resolution (time step and window length) is 15 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 covers, among other phenomena, the upper frequency range of microbaroms (0.45-0.65 Hz) and is therefore called the ‘mb_hf’ product. The temporal resolution (time step and window length) is 15 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
A network of 209 continuously running digital seismic stations equipped with short-period geophones (200 stations) and broadband sensors (9 stations) was deployed in an area of ~14 x ~14 km in the Lausitz (Saxony, Germany) for a period of ~5 weeks. The main objectives were 1) to create a 3-D model of the subsurface (shear wave velocity; ambient noise tomography) using the ambient seismic noise field and 2) to investigate the spatio-temporal distribution of the seismic noise (and noise sources). The project is related to the preparations for the construction of a ‘Low Seismic Lab’ (as part of the German Center for Astrophysics, DZA) and potentially the Einstein Telescope. Waveform data is available from the GEOFON data centre, under network code 9I.
The presented collection includes the results of the K index determination at 41 geomagnetic observatories of the former USSR for the period from July 1957 to early 1990s. This unique collection was formed at the World Data Center for Solar-Terrestrial Physics in Moscow. The historical data, which are offered to the international scientific community, cover the second half of the 20th century and can be used for retrospective analysis and study of geomagnetic events in the past as well as for data validation or forecasting.
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