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  • Data  (40)
  • Accessories
  • Land based
  • Passive seismic
  • Seismic waveforms
  • GFZ Data Services  (32)
  • Deutsches GeoForschungsZentrum GFZ  (8)
  • 1
    Publication Date: 2021-08-13
    Description: Abstract
    Description: Infrared-Spectrometry on Cutting Samples of the KTB Main Hole (Drill Section HB1), 7-5590 m.
    Keywords: German Continental Deep Drilling Program ; Land based ; CO2 ; H2O ; infrared spectrometry ; total carbon
    Language: English
    Type: Dataset , Dataset
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  • 2
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2021-08-13
    Description: Abstract
    Description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
    Keywords: German Continental Deep Drilling Program ; Land based ; Accessories ; Al2SiO5 ; Amphiboles ; Biotites ; Carbonates ; Chlorite ; Clinopyroxene ; Date of Sampling ; Epidote ; Garnet ; Olivine ; Orthopyroxene ; Oxyde Ores ; Plagioclases ; Potassium Feldspars ; Quartz ; Serpentine ; Spinels ; Sulfidic Ores ; White Mica ; X-ray diffraction ; Zeolite
    Language: English
    Type: Dataset , Dataset
    Format: 60459 DataPoints
    Format: text/tab-separated-values
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  • 3
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    GFZ Data Services
    Publication Date: 2024-02-23
    Description: Abstract
    Description: A temporary local seismic network was installed in the basin of Norcia (Italy) in January 2009 and operated until May 2009. Several recordings collected by the network are earthquakes of the 2009, Mw 6.3 L'Aquila seismic sequence. The seismic equipments consisted of fifteen Earth-Data Loggers (24 bit) connected to Mark L4-3D sensors (1Hz). The stations continuously recorded at a rate of 100 samples per second, and the timing was provided by a GPS link. Waveform data are available from the GEOFON data centre.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 80 GB
    Format: .mseed
    Format: XML
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  • 4
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Earthquake swarms occur frequently in Vogtland/West Bohemia at the German-Czech border. The link between these earthquakes and magmatic fluids that escape at the surface has been debated and investigated. The Rohrbach/Vogtland seismic array, installed by the University of Potsdam, Germany, was a small-aperture array that monitored the major earthquake swarm in 2008 and the background seismicity between October 16, 2008 and March 18, 2009. The array consisted of 11 stations equipped with MarsLite data loggers and Lennartz Le3D-5s seismometers. Data were recorded in continuous mode at 250 Hz. Sensors were buried in the ground at 0.5 m depth. High-precision station coordinates were obtained using differential GPS measurements. The array data has been used for analyses of earthquakes and seismic structures. Waveform data is fully open.
    Keywords: Seismic waveforms ; Germany ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approx. 95 GB
    Format: .mseed
    Format: XML
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  • 5
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The Toba caldera is located in north Sumatra, Indonesia. It is part of the volcanic arc associated with the subduction of the Australian Plate beneath the Southeast-Asian Plate. The subduction zone, and the Sumatra Fault, a right lateral strike-slip fault which marks the plate boundary, are seismically active. In order to investigate the volcano-related seismic activity and image the volcano related structures (i.e. a potential magma chamber) using ambient noise techniques a dense seismic network was installed around Lake Toba between May and October 2008. The network, deployed within a German-Indonesian cooperation, comprised 42 continuously recording seismic stations equipped with three-component, short-period seismic sensors with 1 Hz natural frequency. The GPS-synchronised data loggers recorded at 100 samples per second for the experiment's time span of 6 months. During this time period local and regional seismicity was recorded. The array of stations covers an area of approx. 150 by 200 km with inter-station distances of about 20 km. The station distribution is quite irregular due to the difficult environmental conditions. Data from all stations are freely available from the GFZ seismological data archive.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 287 GB
    Format: .mseed
    Format: XML
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  • 6
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2024-02-23
    Description: Abstract
    Description: We study deep structures and geodynamic processes in the Tien Shan and Pamir collision zones, central Asia, with passive source seismic experiments in Kyrgyzstan and Tajikistan. In 2008, a total of 40 seismic stations were deployed predominantly along a 350 km long N-S profile and partly as a sparse 2D seismic network covering an area of 300x300 km of the central Pamir plateau. In 2009, the array was rearranged into a 2D network with higher station density. The proposed scientific tasks to study the crust and upper mantle with seismic methods include (i) teleseismic P and S receiver functions, (ii) shear wave splitting, (iii) location of local earthquakes and waveform inversion for source mechanism, (iv) seismic tomography using local and teleseismic earthquakes, and (v) tomography of surface waves and ambient noise.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 440 GB
    Format: .mseed
    Format: XML
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  • 7
    Publication Date: 2024-04-11
    Description: Abstract
    Description: Irpinia seismic Array is part of the DEnse mulTi-paramEtriC observations and 4D high resoluTion imaging (DETECT) project focused on the acquisition of a unique multiparametric dataset and fosters collaboration among various institutions. The University of Naples Federico II (UniNa) and the German Research Centre for Geosciences (GFZ) are leading this effort carried out in collaboration with various local institutions and supported by the local municipalities. The DETECT project aims at exploiting very dense seismic networks deployed across a segmented fault system (Irpinia and Pergola-Melandro) to foster the development of scientific integrated methodologies for monitoring and imaging the fault behavior during the inter-seismic phase. The Irpinia seismic Array consists of a dense constellation of seismic antennas using more than 200 seismic stations deployed for one year. Each seismic antenna, with maximum aperture of ~2 km, uses one broad-band sensor, one short period sensor with 1 Hz and 8 with 4.5 Hz natural frequency. The antennas are deployed above and near the fault segments that generated during the last centuries many strong earthquakes in the southern Apennines. Waveform data are available from the GEOFON data centre, under network code ZK.
    Keywords: Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Array ; Velocity ; Seismometers ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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  • 8
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    Deutsches GeoForschungsZentrum GFZ
    Publication Date: 2024-04-11
    Description: Abstract
    Description: GEOFON (GEOFOrschungsNetz) is the global seismological broad-band network operated by the German GeoForschungsZentrum (GFZ). The GEOFON seismic network came into being in 1993 as one of the three pillars of the GEOFON program dedicated to Ernst von Rebeur-Paschwitz, proposer of a global earthquake monitoring system, who recorded the first teleseismic seismogram in Potsdam in 1889. The program and its seismic network were created to provide high quality broad-band data for scientific use and foster common standards in the seismological community. The network has evolved towards real-time data acquisition and distribution while keeping the high quality broad-band data in focus. Today the network plays a leading role in global real-time seismology providing valuable data for almost all fundamental and applied global/regional seismological research projects at GFZ and the wider seismological community. The GEOFON network is operated jointly with more than 50 international partners and in 2014 consists of about 80 active stations on all continents, but concentrated in Europe and the Mediterranean region as well as in the Indian Ocean. Station operation is mostly performed by local partners with GFZ guidance and logistic support, allowing the global network to be well-advanced technically while still extremely cost-effective. All stations are equipped with broad-band sensors (generally STS-2) that allow resolution of the complete seismic spectrum from small high-frequency local earthquakes to the largest global earthquakes. Data from all stations are freely redistributed in real-time for earthquake monitoring and tsunami warning centers immediately after acquisition at the GEOFON data centre via wired or satellite links. Archived data is also available. GEOFON is part of the Modular Earth Science Infrastructure (MESI) housed at GFZ.
    Keywords: In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Global network ; Permanent ; Velocity ; Seismometers ; MiniSEED ; MESI
    Type: Dataset , Seismic Network
    Format: Approximately 80 active stations; greater than 440MB/day.
    Format: .mseed
    Format: XML
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  • 9
    Publication Date: 2024-04-11
    Description: Abstract
    Description: Understanding physical processes prior and during eruptions remains challenging, due to uncertainties about subsurface structures and undetected processes within the volcano. Here, the authors use a dedicated fibre-optic cable to obtain strain data and identify volcanic events and image hidden near-surface volcanic structural features at Etna volcano, Italy. In the paper Jousset et al. (2022), we detect and characterize strain signals associated with explosions, and we find evidences for non-linear grain interactions in a scoria layer of spatially variable thickness. We also demonstrate that wavefield separation allows us to incrementally investigate the ground response to various excitation mechanisms, and we identify very small volcanic events, which we relate to fluid migration and degassing. We recorded seismic signals from natural and man-made sources with 2-m spacing along a 1.5-km-long fibre-optic cable layout near the summit of actives craters of Etna volcano, Italy. Those results provide the basis for improved volcano monitoring and hazard assessment using DAS. This data publication contains the full data set used for the analysis. This data set comprises strain-rate data from 1 iDAS interrogator (~750 traces), velocity data from 15 geophones and 4 broadband seismometers, and infrasonic pressure data from infrasound sensors. For further explanation of the data and related processing steps, please refer to Jousset et al. (2022). Waveform data are available from the GEOFON data centre, under network code 9N.
    Keywords: fibre optics ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Volcano ; Velocity ; DAS ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~600G
    Format: .mseed
    Format: XML
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  • 10
    Publication Date: 2024-04-11
    Description: Abstract
    Description: In January 2020, a swarm of earthquakes started under Thorbjorn volcano, Reykjanes, SW Iceland, associated to the uplift of up to 0.5 cm per day. Concern in Iceland was growing and the Iceland Meteorological Office suggested at that time that possibly magma intruded in the crust at shallow depth (3 to 9 km). The first eruption occurred on 19.03.2021, followed by many others in the foolwing years. The GFZ started a seismological Hazard and Risk Team (HART), as soon as February 2020 in cooperation with IMO, ISOR and the University of Iceland. The interrogator was located in Grindavik and was connected to a standard telecom cable. The full data dataset of this 5J network comprise 250 Tb of raw data. The standard infrastructure is not designed for such large data set. Therefore, we implement here several datasets, corresponding to several processing and associated publications. Specific full data set is available upon request to the authors. In Flovenz et al., 2022, the data subset comprise a selection of wave-forms recorded along an optical fibre of 21 km length. The subset consists of 40 channels at 100 Hz (spatially stacked 9x). The whole time period from January until August 2020 is covered, with a total size of 496 GB. The data is MiniSEED at 4096 bytes record length with STEIM2. In Maass et al., 2024, the data subset consists of two sections of contiguous channels (1701-2000 and 3921-4218, spatial sampling 4 meters) of dynamic strain rate down sampled at 5 Hz. The whole time period from January until August 2020 is covered, with a total size of 340 GB. The data is MiniSEED at 4096 bytes record length with STEIM2.
    Keywords: fibre optics ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Volcano ; Velocity ; DAS ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~500G
    Format: .mseed
    Format: XML
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