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  • Data  (318)
  • Published Data from GFZ  (318)
  • 2020-2023  (314)
  • 1995-1999  (2)
  • 1980-1984  (2)
  • 1955-1959
  • 1
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    Northern Finland Seismological Network (1980)
    GFZ Data Services
    Details
    Publication Date: 2023-05-12
    Description: Abstract
    Description: Sodankylä geophysical observatory (SGO) has operated in Sodankylä in northern Finland since 1913. SGO was originally founded by the Finnish Academy of Science and Letters. Now it takes care of national and international duties studying the space and geoenvironment as an independent research organisation in the University of Oulu. SGO performs long-term measurements, builds instruments, innovates and maintains domestic and international measurements, and performs research from these measurements. The seismic observations at SGO started in Sodankylä 1956. In 2005-2006 SGO seismic stations were updated to broadband instrumentation and connected to GEOFON data center. Today, the number of seismic stations has increased to 9. The stations have Streckeisen STS-2 or Nanometrics Trillium PA/PH broadband sensors. 3 of the stations are so called Posthole stations located in borehole 7-20 m below surface. The rest of the stations are located on the surface or in a more traditional type of vault. Data acquisition systems are either Earth Data PS6-24 digitisers and PC with Seiscomp or Nanometrics Centaurs. The continuous wave form data is collected at 100 Hz sampling frequency. The VH, LH and BH channel data is available from GEOFON data center and the 100Hz HH data from SGO by request. Further information about instrumentation can be found at the Institute’s web site (https://www.sgo.fi/). Waveform data are available from the GEOFON data centre, under network code FN, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; induced ; seismic hazard ; broad band ; velocity ; acceleration ; displacement ; Broadband seismic waveforms ; Seismic monitoring ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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    DATA GFZ
  • 2
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    The ANCORP Seismic Network (1996)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Local seismic network in Northern Chile, Southern Bolivia. (Grant-number: GIPP199604) Waveform data is available from the GEOFON data centre. License: “Creative Commons Attribution-ShareAlike 4.0 International License” (CC BY-SA).
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; Central Andes ; magmatic arc ; local seismicity ; temporary local seismic network ; Northern Chile ; Southern Bolivia ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~70G
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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    DATA GFZ
  • 3
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    The Finnish National Seismic Network (1980)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The Institute of Seismology, University of Helsinki (ISUH) was founded in 1961 as a response to the growing public concern for environmental hazards caused by nuclear weapon testing. Since then ISUH has been responsible for seismic monitoring in Finland. The current mandate covers government regulator duties in seismic hazard mitigation and nuclear test ban treaty verification, observatory activities and operation of the Finnish National Seismic Network (FNSN) as well as research and teaching of seismology at the University of Helsinki.The first seismograph station of Finland was installed at the premises of the Department of Physics, University of Helsinki in 1924. However, the mechanical Mainka seismographs had low magnification and thus the recordings were of little practical value for the study of local seismicity. The first short-period seismographs were set up between 1956 and 1963. The next significant upgrade of FNSN occurred during the late 1970’s when digital tripartite arrays in southern and central Finland became fully operational, allowing for systematic use of instrumental detection, location and magnitude determination methods. By the end of the 1990’s, the entire network was operating using digital telemetric or dial-up methods. The FNSN has expanded significantly during the 21st Century. It comprises now 36 permanent stations. Most of the stations have Streckeisen STS-2, Nanometrics Trillium (Compact/P/PA/QA) or Guralp CMG-3T broad band sensors. Some Teledyne-Geotech S13/GS13 short period sensors are also in use. Data acquisition systems are a combination of Earth Data PS6-24 digitizers and PC with Seiscomp/Seedlink software or Nanometrics Centaurs. The stations are connected to the ISUH with Seedlink via Internet and provide continuous waveform data at 40 Hz (array) or 100-250 Hz sampling frequency. Further information about instrumentation can be found at the Institute’s web site (www.seismo.helsinki.fi). Waveform data are available from the GEOFON data centre, under network code HE, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; induced ; seismic hazard ; broad band ; velocity ; acceleration ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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    DATA GFZ
  • 4
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    Namibia (1998)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Durchleuchtung der Litosphäre und des oberen Mantels mit Hilfe aktiver und passiver Seismologie (hier nur passiver Teil). Receiver Funktionen und SKS-Anisotropie Methoden sollen angewandt werden. Ziel ist die Rolle eines Mantelplumes in einem aktiven Kontinentalrand zu untersuchen. Waveform data are available from the GEOFON data centre, under network code XC under CC-BY 4.0 license.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~150Gb
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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    DATA GFZ
  • 5
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    U-Pb data from cherts (Onverwacht Group) and strain data from conglomerates (Moodies Group) from the southern margin of the Archean Barberton Greenstone Belt, Eswatini (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-12-25
    Description: Abstract
    Description: The southern margin of the Barberton Greenstone Belt in Eswatini limits one of the world’s oldest well-preserved sedimentary and volcanic sequences, 3.57 to 3.2 Ga old. In a segment along that margin, older mafic and ultramafic volcanic rocks were thrust over the youngest strata (quartz-rich sandstones and conglomerates) before being folded and imbricated in thrust slices. Samples described in this publication comprise tabular data of (1) sample locations and crystallization ages of zircons which were extracted from thin tuffaceous units in the thrust sheet, (2) analytical data from laser ablation – inductively coupled plasma – mass spectrometry (LA-ICP-MS), supporting these ages, and (3) quantitative measurements of ductily deformed conglomerate clasts. Field data were collected 2012-2019; U-Pb analyses performed in 2020. The data presented here are the basis for geological maps and cross sections, and are visualized as concordia diagrams form part of in the related publication (Heubeck et al.. 2023).
    Keywords: Archean ; Barberton Greenstone Belt ; Malolotsha ; Moodies Group ; klippe ; Eswatini ; LA-ICP-MS ; U-Pb zircon dating ; zircon ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 AGE DETERMINATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL AGE DETERMINATIONS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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    DATA GFZ
  • 6
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    Soil physicochemical parameters along a chronosequence at the coastal alluvial fan Paposo, Atacama Desert (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-12-21
    Description: Abstract
    Description: This dataset summarizes the following physicochemical parameters assessed for 32 soil samples sieved to 〈2 mm from 16 shallow soil profiles, which were sampled in two depth intervals (0–15 and 15–30 cm): CIELAB soil colour, spectrophotometric redness index, electrical conductivity, soil pH, contents of organic carbon, organic phosphorus and total phosphorus, proportion of organic phosphorus in total phosphorus, calcium carbonate content, geochemical proxies for (de)calcification and (de)salinization, and contents of total and poorly crystalline pedogenic iron oxides. Constituting a soil chronosequence at the south-central coast of the Atacama Desert, four shallow soil profiles were sampled from each of the four morphostratigraphic units of the coastal alluvial fan Paposo (25.03°S/70.47°W). Results are stored in a .csv table.
    Keywords: Environment ; Soil Sciences ; Geomorphology ; Biogeochemistry of Soils ; Arid Zone
    Type: Dataset , Data table
    Format: 1 Datasets
    Format: CSV
    Location Call Number Expected Availability
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    DATA GFZ
  • 7
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    Grain size distributions and parameters of soils along a chronosequence at the coastal alluvial fan Paposo, Atacama Desert (2022)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2022-12-21
    Description: Abstract
    Description: This dataset contains proportions of grain size classes, the median grain size, and the differential grain size distribution for the size fraction 40–311 nm of 32 soil samples sieved to 〈2 mm from 16 shallow soil profiles, which were sampled in two depth intervals (0–15 and 15–30 cm). Constituting a soil chronosequence at the south-central coast of the Atacama Desert, four shallow soil profiles were sampled from each of the four morphostratigraphic units of the coastal alluvial fan Paposo (25.03°S/70.47°W). Particle size measurements were conducted using laser diffraction analysis. Results are stored in a .csv table.
    Keywords: Environment ; Soil Sciences ; Geomorphology ; Biogeochemistry of Soils ; Arid Zone
    Type: Dataset , Data table
    Format: 1 Datasets
    Format: CSV
    Location Call Number Expected Availability
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    DATA GFZ
  • 8
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    Ring-shear test data of glass beads 200-300 µm used for analogue experiments in the tectonic modelling labs at GFZ Potsdam and the Institute of Geophysics of the Czech Academy of Science, Prague (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-12-19
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests on glass beads with a diameter of 200-300 µm used in analogue modelling of tectonic processes as a rock analogue for “weak” layers in the earth’s upper crust (e.g. Klinkmüller et al., 2016; Ritter et al., 2016; Lohrmann et al., 2003) or as “seismogenic” crust (Rudolf et al., 2022). The glass beads are characterized by means of internal friction coefficients µ and cohesion C. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.51 , µD = 0.40, and µR = 0.44, respectively (Table 5). Cohesion of the material ranges between 40 Pa and 70 Pa. The material shows a minor rate-weakening of ~1% per ten-fold change in shear velocity v and a stick-slip behaviour at low shear velocities and at high loads.
    Description: Methods
    Description: The data presented here are derived by ring shear testing using a SCHULZE RST-01.pc (Schulze, 1994, 2003, 2008) at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. The RST is specially designed to measure friction coefficients µ and cohesions C in loose granular material accurately at low confining pressures (〈20 kPa) and shear velocities (〈1 mm/sec) similar to sandbox experiments. In this tester, a granular bulk material layer is sheared internally at constant normal stress σN and shear velocity v while shear force and lid displacement (corresponding to density and volume change ΔV) are measured continuously. For more details see Klinkmüller et al. (2016) and Ritter et al. (2016).
    Keywords: EPOS ; TCS MSL ; analogue models of geologic processes ; multi-scale laboratories ; property data of analogue modelling materials ; analogue modelling results ; software tools ; Cohesion ; deformation 〉 shearing ; fault ; Friction coefficient ; Microspheres 〉 Glassy ; Ring-shear tester
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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    DATA GFZ
  • 9
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    Ring-shear test data of glass beads 〈50 µm used for analogue experiments in the tectonic modelling labs at GFZ Potsdam and the Institute of Geophysics of the Czech Academy of Sciences, Prague (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-12-19
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests on glass beads with a diameter of less than 50 µm used in analogue modelling of tectonic processes as a rock analogue for “weak” layers in the earth’s upper crust (e.g. Klinkmüller et al., 2016; Ritter et al., 2016; Lohrmann et al., 2003) or as “seismogenic” crust (Rudolf et al., 2022). The glass beads are characterized by means of internal friction coefficients µ and cohesion C. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.47 , µD = 0.44, and µR = 0.47, respectively (Table 5). Cohesion of the material ranges between 50 Pa and 70 Pa. The material shows a neglectable rate-weakening of 〈1% per ten-fold change in shear velocity v.
    Description: Methods
    Description: The data presented here are derived by ring shear testing using a SCHULZE RST-01.pc (Schulze, 1994, 2003, 2008) at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. The RST is specially designed to measure friction coefficients µ and cohesions C in loose granular material accurately at low confining pressures (〈20 kPa) and shear velocities (〈1 mm/sec) similar to sandbox experiments. In this tester, a granular bulk material layer is sheared internally at constant normal stress σN and shear velocity v while shear force and lid displacement (corresponding to density and volume change ΔV) are measured continuously. For more details see Klinkmüller et al. (2016) and Ritter et al. (2016).
    Keywords: EPOS ; TCS MSL ; analogue models of geologic processes ; multi-scale laboratories ; property data of analogue modelling materials ; analogue modelling results ; software tools ; Cohesion ; deformation 〉 shearing ; fault ; Friction coefficient ; Microspheres 〉 Glassy ; Ring-shear tester
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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    DATA GFZ
  • 10
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    Ring-shear test data of glass beads 100-200 µm used for analogue experiments in the tectonic modelling labs at GFZ Potsdam and the Institute of Geophysics of the Czech Academy of Sciences, Prague (2022)
    GFZ Data Services
    Details
    Publication Date: 2022-12-19
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests on glass beads with a diameter of 100-200 µm used in analogue modelling of tectonic processes as a rock analogue for “weak” layers in the earth’s upper crust (e.g. Klinkmüller et al., 2016; Ritter et al., 2016; Lohrmann et al., 2003) or as “seismogenic” crust (Rudolf et al., 2022). The glass beads are characterized by means of internal friction coefficients µ and cohesion C. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.50 , µD = 0.39, and µR = 0.46, respectively (Table 5). Cohesion of the material is close to zero Pa. The material shows a minor rate-weakening of ~1% per ten-fold change in shear velocity v and a stick-slip behaviour at low shear velocities and at high loads.
    Description: Methods
    Description: The data presented here are derived by ring shear testing using a SCHULZE RST-01.pc (Schulze, 1994, 2003, 2008) at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. The RST is specially designed to measure friction coefficients µ and cohesions C in loose granular material accurately at low confining pressures (〈20 kPa) and shear velocities (〈1 mm/sec) similar to sandbox experiments. In this tester, a granular bulk material layer is sheared internally at constant normal stress σN and shear velocity v while shear force and lid displacement (corresponding to density and volume change ΔV) are measured continuously. For more details see Klinkmüller et al. (2016) and Ritter et al. (2016).
    Keywords: EPOS ; TCS MSL ; analogue models of geologic processes ; multi-scale laboratories ; property data of analogue modelling materials ; analogue modelling results ; software tools ; Cohesion ; deformation 〉 shearing ; fault ; Friction coefficient ; Microspheres 〉 Glassy ; Ring-shear tester
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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    DATA GFZ
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