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  • Firenze University Press
  • GFZ Data Services
  • 2020-2023  (382)
  • 1980-1984  (2)
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  • 1
    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
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  • 2
    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
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  • 3
    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
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  • 4
    Publication Date: 2022-12-20
    Description: This dataset provides friction data from ring-shear tests on feldspar sand FS900S used for the simulation of brittle behaviour in crust- and lithosphere-scale analogue experiments at the Tectonic Modelling Laboratory of the University of Bern (Zwaan et al. in prep; Richetti et al. in prep). The materials have been characterized by means of internal friction parameters as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam (Germany). According to our analysis both materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the feldspar sand are μP = 0.65, μD = 0.57, and μR = 0.62, respectively, and the Cohesion of the feldspar sand is in the order of 5-20 Pa. An insignificant rate-weakening of less than 1% per ten-fold rate change is registered for the feldspar sand. Granular healing is also minor.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 5
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    GFZ Data Services
    Publication Date: 2022-12-20
    Description: This dataset includes five stations of an Ocean Bottom Seismometer (OBS) experiment conducted at the southern end of the Fonualei Rift and Spreading Center in the Lau Basin, southwestern Pacific. The OBS recorded continuously for 32-days on 4 components, including a hydrophone and a 3-component 4.5 Hz geophone. The experiment was conducted during RV Sonne cruise SO267, project ARCHIMEDES I. In the article, the authors report an increasing trend of methane emissions for June and July at a permafrost site in Siberia (Lena River Delta). Using the longest set of observational methane flux data in the Arctic, the authors demonstrate that the continuous warming has begun to trigger the projected enhancement of methane release in Arctic permafrost ecosystems. This software is written in MATLAB. Running the codes ([.m files](Code)) and loading the data files ([.mat files](Data)) requires the pre-installation of [MATLAB](/https://de.mathworks.com/products/matlab.html). IMPORTANT: The repository only contains dummy data. The data that is needed to run the code can be requested by Torsten Sachs and Christian Wille (contact authors). Although the scripts and the data files have been tested for newer versions of MATLAB (〉= MATLAB R2017a). The code might also run in older versions of MATLAB, but this has not been tested.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 6
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    GFZ Data Services
    Publication Date: 2022-12-20
    Description: Orbital products describe positions and velocities of satellites, be it the Global Navigation Satellite System (GNSS) satellites or Low Earth Orbiter (LEO) satellites. These orbital products can be divided into the fastest available ones, the Near Realtime Orbits (NRT), which are mostly available within 15 to 60 minutes delay, followed by Rapid Science Orbit (RSO) products with a latency of two days and finally the Precise Science Orbit (PSO) which, with a latency of up to a few weeks, are the most delayed. The absolute positional accuracy increases with the time delay. This dataset compiles the RSO products for various LEO missions and the appropriate GNSS constellation in sp3 format. The individual solutions for each satellite mission are published with individual DOI as part of this compilation. GNSS Constellation: • GNSS 24h (v01) • GNSS 30h (v02) LEO Satellites: • CHAMP • GRACE • GRACE-FO • SAC-C • TanDEM-X/ TerraSAR-X Each solution is given in the Conventional Terrestrial Reference System (CTS). • The GNSS RSOs are 30-hour long arcs starting at 21:00 the day before the actual day and ending at 03:00 the day after. The accuracy of the GPS RSO sizes at the 3-cm level in terms of RMS values of residuals after Helmert transformation onto IGS combined orbit solutions (Version 1 GNSS RSOs are 24-hour long arcs starting at 00:00 and ending at 24:00 the actual day). • The LEO RSOs are generated based on these 30-hour GNSS RSOs in two pieces for the actual day with arc lengths of 14 hours and overlaps of 2 hours. One starting at 22:00 and ending at 12:00, one starting at 10:00 and ending at 24:00. The accuracy of the LEO RSOs is at the level of 1-2 cm in terms of SLR validation. The exact time covered by an arc is defined in the header of the files and indicated as well as in the filename. This dataset compiles RSO products for various LEO missions and the corresponding GNSS constellation in sp3 format in a revised processing version 2. The switch from previous version 1 to 2 was performed on 18-Feb-2019. Major changes from version 1 to 2 are the change from IERS 2003 to IERS 2010 conventions and ITRF 2008 to ITRF-2014, as well as the temporal extension of the GNSS constellation from previous 24 hours (version 1) to 30 hours (version 2) arcs. This temporal expansion eliminates the chaining of two consecutive 24-hour GNSS constellation solutions previously used to process day-overlapping LEO arcs in Version 1. This 24h GNSS constellation (Version 1) will continue to operate and be stored on the ISDC ftp server, as discussed in more detail in Section 8.1. All RSO LEO arcs will no longer be continued in version 1 after the changeover date and will only be available in version 2 since then.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 7
    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
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  • 8
    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
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  • 9
    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
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  • 10
    Publication Date: 2022-12-17
    Description: The airborne hyperspectral image was acquired by the AVIRIS-Next Generation (AVIRIS-NG) instrument during the AVIRIS-NG Europe 2021 HyperSense campaign that has been conducted as a joint effort of ESA, NASA/JPL and the University of Zurich. Acquired was an agricultural area near Irlbach, Germany on May 30th, 2021. The data was preprocessed (radiometrically, geometrically and atmospherically corrected) to contain 419 bands in the 402 - 2495 nm spectral range. Metadata was acquired on the same day for the variables Leaf Area Index (LAI), Leaf Chlorophyll content, crop height and phenology. An overview of metadata acquisition and processing can be found in the HYPERedu YouTube videos on ground reference data acquisition in the field and ground reference data acquisition in the lab. More details on LAI and chlorophyll acquisition can be found in the field data guides assembled by the authors of this dataset via enmap.org (Danner et al., 2015; Süß et al., 2015). The dataset is made publically available within the massive open online course (MOOC) "Beyond the Visible - Introduction to Imaging Spectroscopy for Agricultural Applications", available from December 2022.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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