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  • EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES  (32)
  • In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS  (17)
  • GFZ Data Services  (38)
  • American Physical Society (APS)
  • Institute of Physics
  • 2020-2024  (38)
  • 1
    Publication Date: 2023-01-09
    Description: Abstract
    Description: Mean S-wave coda quality factors (mean-Qc) were estimated from active ultrasonic transmission (UT) measurements acquired during the STIMTEC project in the URL Reiche Zeche (Saxony, Germany). We used S-coda waves of 88 selected UT measurements carried out in 3 differently oriented boreholes (BH10, BH12, BH16) to estimate the spatial change of the coda quality factor in the targeted rock volume, an anisotropic metamorphic gneiss. We also analysed temporal variation in attenuation before and after hydraulic stimulations performed in two boreholes (BH10, BH17). We formed in total 8 UT groups (see data table "2022-004_Blanke-and-Boese_mean_UT_event_locations") from neighbouring UT measurements within different depths and from separated time intervals (see also Tab. 1 in Blanke et al. 2023), and compare mean-Qc estimates of centre frequencies ranging 3-21 kHz of octave-width frequency bands. Our results show a characteristic frequency-dependence and we find that mean-Qc estimates reveal temporal-variations of attenuation more significantly than those obtained from velocity measurements. The temporal variations are strongly connected to hydraulic stimulation activities resulting in a reduction of the coda quality factor where AE events occurred. Analysis of mean-Qc estimates after a temporal resting phase (with no activity in the rock volume) suggests that frequencies 〉 15 kHz indicate healing of small-scale fractures induced by injections. The study shows that coda analysis is a powerful tool for the detection of damage zones and for monitoring changes of the local fracture network within reservoirs important for exploitation or underground storage of gases and liquids.
    Description: Methods
    Description: We applied the S-coda wave analysis of Phillips (1985), which is based on the single isotropic scattering model, to estimate the frequency dependent coda quality factor Qc for each UT measurement at each sensor in the mine. The approach of Sato (1977) allows to start the analysis early in the S-wave coda as waveforms are corrected for geometrical scattering effects. The applied method comprises two parts: 1)Moving window analysis: We followed the results of the sensitivity analysis of Blanke et al. (2019) to select the analysis parameters. We use a moving window length of 1,024 samples, a lapse time of 1.1 x ts (S-onset time), a coda length of 9,000 samples (9 ms), and a minimum signal-to-noise ratio of 2. A reference noise window is selected from the end of the seismogram. Seismograms were filtered in octave-width frequency bands and the Power Spectral Density (PSD) was estimated for the pre-defined moving windows and each frequency band. 2)Regression analysis: A regression line was fitted through the coda amplitude measurements of each frequency band. Qc values were estimated from the slopes of regression lines and uncertainties (2σ standard deviation) were calculated from the slope coefficient estimates. In a final step, mean-Qc estimates per centre frequency were estimated at each sensor for each UT group (see data tables 3-10). Mean-Qc values were estimated from a minimum of 3 neighbouring UT events. Only for group UT1BH16-AFT, some mean-Qc values were estimated from less UT events due to the short borehole section beyond a previously defined damage zone that spatially separates the UT groups.
    Description: Other
    Description: The STIMTEC hydraulic stimulation experiment (see Boese et al. 2022 for details) was conducted between 2018 and 2019 in the URL Reiche Zeche in Freiberg (Germany). The experiment aimed at investigating the role of stimulation processes in enhancing hydraulic properties of crystalline rocks. Active and passive seismic measurements were acquired in strongly foliated metamorphic gneiss during several phases of hydraulic stimulation-, testing-, and validation phases. Active measurements were conducted along two galleries (driftway and vein drift), and in several boreholes with different and mostly downward dipping orientations in the monitored rock volume (dimensions 40 m x 50 m x 30 m). The seismic network consisted of 12 Acoustic emission (AE) sensors (see data table 2), high-frequency accelerometers, and a broadband sensor installed in short and mainly upward trending boreholes above the monitored rock volume. Sensor and UT data configurations are provided by Boese et al. (2021). Hydraulic stimulations were conducted in boreholes BH10 (16-18 July, 2018) and BH17 (21-22 August, 2019) in different depth intervals and with different total injected volumes, resulting in the occurrence of AE events. This AE activity highlights activation and reactivation of fractures at the decimetre scale. The 88 analysed UT measurements (out of 〉 300) were acquired from boreholes BH10, BH12, and BH16. BH10 and BH16 run subparallel about 4.5 m apart and dip approx. 15° downwards. BH12 dips 36° from the driftway and crosses BH10 and BH16 below at approx. 33.9 and 18 m borehole depth, respectively.
    Keywords: ultrasonic transmission ; UT ; coda Q ; quality factor ; S-wave ; attenuation ; scattering ; spatio-temporal analysis ; acoustic emission ; injection ; frequency-dependency ; underground research laboratory ; URL ; Reiche Zeche ; STIMTEC ; active seismicity ; active measurements ; damage zone ; single isotropic scattering model ; borehole ; mine ; meter-scale ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2023-01-10
    Description: Abstract
    Description: The three datasets presented here are high-resolution catalogs containing origin time of seismic events for the same region and time range that have derived using AI-based techniques and a matched filter search. The corresponding standard catalogs from the agencies AFAD and KOERI are available under https://tdvms.afad.gov.tr/ (last accessed 28/07/2022) and http://www.koeri.boun.edu.tr/sismo/2/earthquake-catalog/ (last accessed 28/07/2022), respectively, when searching in the bulletin for longitude 28.80-29.10, latitude 40.4-40.625, and from November 1st 2018 to January 31th, 2019. Specifications for the three catalogs are. (i) Catalog derived utilizing AI-based techniques. We applied the PhaseNet deep learning method (Zhu & Beroza, 2019) to detect and pick the P-and S- waves of seismic events embedded in continuous seismic recordings from 16 stations surrounding the region of interest resampled at 100 Hz. The method was trained on a dataset from Northern California, but has been shown to generalize well to other tectonic settings. The picks were associated into seismic events using the GaMMA association method (Zhu et al., 2022). Manual check of the waveforms from all detections led to 516 seismic events with clear waveforms retained for further processing. (ii) Template matching catalog A. We applied the matched filter algorithm EQcorrscan (Chamberlain et al., 2017) to the two nearby seismic stations with the largest data recovery during the period of interest, ARMT and MDNY. We utilized 14 manually picked template events with M 〉 2 that occurred in the region of interest during the analyzed time period, which were recorded in both stations. As a first criteria to remove false detections, we retained only detections exhibiting a Median Absolute Deviation (MAD) larger than eight. We required detections from different templates to be at least 1.5 seconds apart. To remove duplicate detections (e.g., detections of the same event by different templates), we retained the detections with the highest average correlation if multiple detections occurred within 2.5 seconds. As a second criteria, we calculated cross-correlation derived phase-picks. A pick was declared if the maximum normalized correlation between the signal of the template event and of the detection exceeds 0.7. We correlated the signals in a short window of ±0.3 seconds around the assumed pick time based on a time-shifted version of the template phase-pick. We retained the S-pick exhibiting the higher cross-correlation value with respect to the template. Following this step, we considered only detections with ≥ 2 picks. In case of events with only two picks we ensured that that were from the same station to have control on the ts-tp and therefore the distance of the event from the detecting station. This catalog contains 2,462 seismic events (all manually reviewed) with magnitudes MW in the range [-2.4, 4.5]. Since we were not able to locate the events from this catalog, we considered as “origin time” the time of the first arrival. (iii) Template matching catalog B. We derived a second template matching catalog utilizing twelve of the closest seismic stations displaying high seismic data recovery during the analyzed time period. An initial list of detections was generated following the same steps as for the Template Matching Catalog A, with the additional requirement that all detections must contain at least one picks from one of the two closest stations, ARMT and MDNY. All detections from this catalog were also manually reviewed. The full description of the data processing and creation of the catalog is provided in the article “Stress changes can trigger earthquake sequences in a hydrothermal region south of Istanbul” by Martínez-Garzón et al., currently under review in Geophysical Research Letters.
    Keywords: sea level changes ; seismicity ; enhanced seismicity catalog ; Sea of Marmara region ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN WINDS ; EARTH SCIENCE 〉 OCEANS 〉 TIDES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES
    Type: Dataset , Dataset
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  • 3
    Publication Date: 2023-02-18
    Description: Abstract
    Description: This dataset provides friction and elasticity data from ring shear and axial tests, respectively, on rock analogue materials used at the University Roma Tre (Rome, IT) in “Foamquake”, a novel seismotectonic analog model mimicking the megathrust seismic cycle (Mastella et al., under review). Two granular materials (quartz sand and Jasmine rice) have been characterized by means of internal friction coefficients µ and cohesions C. An elastic material (foam rubber) have been characterized by means of Young’s modulus E and Poisson’s ratio v. According to our analysis the granular materials show Mohr-Coulomb behaviour characterized by linear failure envelopes in the shear stress vs. normal load Mohr space. Peak, dynamic and reactivation friction coefficients of the quartz sand are µP = 0.69, µD = 0.56 and µR = 0.64, respectively. Cohesion ranges between 50 and 100 Pa. Rate-dependency of friction in quartz sand seems insignificant. Peak, dynamic and reactivation friction coefficients of the Jasmine rice are µP = 0.70, µD = 0.59 and µR = 0.61, respectively. Cohesion ranges between 30 and 50 Pa. Rate-weakening of Jasmine rice is c. 6% per tenfold change in shear velocity v. The Young’s modulus of the foam rubber has been constrained to 30 kPa, its Poisson’s ratio is v=0.1.
    Keywords: multiscale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; analogue ; EPOS ; Cohesion ; Density ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 StrainMaster (La Vision GmbH) ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; Earthquake simulator ; Flour 〉 Rice ; Foam rubber ; Force sensor ; Friction coefficient ; geolocical hydrogeological 〉 earthquake ; megathrust ; Poisson ratio ; Python ; Ring-shear tester ; Sand 〉 Quartz Sand ; Subduction box ; tectonic and structural features ; tectonic process 〉 subduction ; tectonic setting 〉 plate margin setting 〉 forearc setting ; tectonic setting 〉 plate margin setting 〉 subduction zone setting ; Time lapse camera ; Triaxal tester ; Uniaxial tester ; Young modulus
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2023-03-06
    Description: Abstract
    Description: The dataset is an extended and updated version of the homogenized regional earthquake catalogue of the Marmara region, north-western Turkey, presented in Bohnhof et al. (2017) and Wollin et al. (2018). It is built on the regional Turkish seismicity catalogues provided by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute) and spans the time interval 2006-2020. All events available in these two catalogues in the wider Marmara region were combined and dublicate events removed. A total of 13812 events having at least 6 P- and/or S-picks were located using the NLLoc software (Lomax et al., 2000, 2009) in Octtree mode utilizing automatic picks (see Wollin et al., 2018 for details) for all available waveforms. The magnitude range is between M0.3 and M5.7 with time-variable magnitude of completeness and covers the area 39.70S-41.50S and 26.0E-30.65E. The full description of the data and methods is provided in the data description file.
    Keywords: seismicity ; enhanced seismicity catalog ; Sea of Marmara region ; AFAD ; KOERI ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS
    Type: Dataset , Dataset
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  • 5
    Publication Date: 2023-04-11
    Description: Abstract
    Description: The present dataset is a comprehensive earthquake catalogue for the Northern Chile subduction zone forearc covering the period 2007-2021, determined from IPOC seismic station data (GFZ and CNRS-INSU 2006; https://doi.org/10.14470/pk615318) plus some auxiliary stations (IPOC = Integrated Plate Boundary Observatory Chile; http://www.ipoc-network.org). The method of automatized earthquake catalogue retrieval, the different relocation steps as well as the different earthquake class labels, and the structures outlined by the seismicity are described in detail in Sippl et al. (2023). The catalogue builds on the one from Sippl et al. (2018; https://doi.org/10.5880/GFZ.4.1.2018.001), but uses a slightly deviating parameter set and a new event category. The columns of the data files are: year, month, day, hour, minute, second, latitude [dec. degrees], longitude [dec. degrees], depth [km], magnitude [ML], identifier The identifier term provides a first-order spatial classification of the seismicity, an explanation is given in Sippl et al. (2023).
    Keywords: IPOC ; Chile ; Integrated Plate Observatory Chile ; EARTH SCIENCE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES
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  • 6
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    GFZ Data Services
    Publication Date: 2023-04-25
    Description: Abstract
    Description: The META-WT project was designed to perform a 4-weeks seismic experiment in Germany with a dense seismic array of ~400 three-component geophones that covered (1) a 2.5km x 2.5km wind farm area in Brandenburg, Germany, with almost 200 wind turbines (WTs) and a well-studied subsurface structure and (2) a 20-km long radial line from the center of the wind farm with one geophone every half-kilometer. The objective was to capture the spatio-temporal seismic wave-field signature of the wind farm from continuous recordings of ambient noise. Due to the dense interstation distance and proposed geometry the experiment allowed for analyzing both small-scale wave field characteristics at an unprecedented spatial resolution and the longer distance radiation pattern of the wind farm. Waveform data is available from the GEOFON data centre, under network code XF, and is embargoed until Jan 2025.
    Keywords: 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: ~400G
    Format: .mseed
    Format: XML
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  • 7
    Publication Date: 2023-04-26
    Description: Abstract
    Description: The Community Stress Drop Validation Study has been organized as a technical activity group (TAG) of SCEC (Southern California Earthquake Center) with the aim of investigating the source parameters of the 2019 Ridgecrest seismic sequence in California. Information about the stress drop TAG are available trough the benchmark web-page (https://www.scec.org/research/stress-drop-validation). Several groups applied different techniques to a shared data set with the objective of extracting source parameters (e.g. seismic moment and corner frequency) and in turn to estimate the stress drop. We applied a spectral decomposition approach known as generalized inversion technique (GIT) and the overall analyses are presented in a series of two articles (Bindi et al 2023a; Bindi et al 2023b). Results in the form of files, figures, and tables are disseminated through this archive.
    Keywords: 2019 Ridgecrest sequence ; source parameters ; spectral decomposition ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; geological process 〉 seismic activity 〉 earthquake
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  • 8
    Publication Date: 2023-05-11
    Description: Abstract
    Description: The Illgraben is a 10 km² steep side valley located in Switzerland. This active debris flow catchment supplies 5-15% of the total sediment load of the Rhône River upstream of Lake Geneva. The 30-80° steep catchment slopes host frequent rock falls and slides. From 2012 to 2014, a network of up to ten Nanometrics Trillium Compact 120s broadband seismometers, sampled by Digos DataCube³ext loggers at 200 Hz (and later by centaur), was deployed in and around the catchment to monitor distributed geomorphic activity. Waveform data is available from the GEOFON data centre, under network code 9J, and is fully open.
    Keywords: 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: ~100G
    Format: .mseed
    Format: XML
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  • 9
    Publication Date: 2023-06-03
    Description: Abstract
    Description: This data set is digital image correlation data, including surface displacement and strain data from laboratory subduction megathrust earthquake cycles. The data consists of grids of surface strain (elastic and permanent), trench-normal surface displacement, vorticity and divergence maps over analog seismic cycles, and time series of surface displacement. The data have been derived using a stereo camera setup and processed with LaVision Davis 10 software. Detailed descriptions of the experiments and results regarding the surface pattern of the strain can be found in Kosari et al. (2023), to which this data set is supplementary. We use three configurations to mimic the along-strike heterogeneous spatiotemporal distribution of frictional locking (Rosenau et al., 2019; Kosari et al., 2022b). A central patch separates two stick-slip zones as an aseismic barrier in all configurations. The frictional properties of the central patch vary as a velocity-strengthening (VS configuration), a velocity-neutral (VN), and a velocity-weakening (VW configuration). The VW zone generates smaller slip events with a higher frequency (i.e., recurrence interval) than the stick-slip zones. Four frictionally different materials have been emplaced on the interface: The sticky-rice as velocity-weakening material (a-b〈0) resulting in stick-slip cycles simulating earthquake cycles, fine-grained sugar and rubber-sand mixture as velocity-strengthening (a-b〉0) and velocity-neutral (a-b=0) material, and fine-grained salt as velocity-weakening material (a-b〈0) (Kosari et al., 2023).
    Keywords: Seismotectonic modeling ; Analog Modeling ; Digital Image Correlation (DIC) ; Particle Image Velocimetry (PIV) ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; analogue modelling results ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 SUBDUCTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 TECTONIC UPLIFT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 10
    Publication Date: 2023-06-12
    Description: Abstract
    Description: The Fagradalsfjall eruption from 19 March to 18 September 2021 featured lava fountaining episodes from 2 May to 14 June. These episodes were recorded as tremor pulses on our broadband seismic station NUPH (Nanometrics Trillium Compact 120s) at 5.5 km southeast of the active vent. We used the seismic data bandpass filtered between 1 and 4 Hz to mark the start and end of 7058 tremor pulses. The catalog hence comprises 14116 markers, that are statistically further evaluated in Eibl et al. (in review). From 2 May to 14 June, several changes in pulse duration and repose time were found and used to subdivide this time interval into 6 periods with characteristic pulse pattern. We find exponentially decreasing pulse durations, coexisting short and long pulses and stable pulse durations superimposed by gradually increasing or suddenly decreasing repose times. We discuss the findings in the context of an evolving shallow-conduit container, the crater geometries, partial collapses from the crater rim and the amount of accumulating outgassed magma in Eibl et al. (in review). This data publications releases the catalog of 14116 tremor pulses /lava fountaining episodes.
    Description: Methods
    Description: We installed a Trillium Compact 120 s seismometer (Nanometrics) as station NUPH (9F seismic network) at the southeast corner of Núpshlídarháls 5.5 km southeast of the eruptive site in Geldingadalir, Iceland. The instrument stood on a concrete base slab shielded from wind and rain using a bucket partly covered by rocks. The instrument was powered using batteries from 16 March, solar panels from 24 March and a wind generator at 10 m distance from 6 April 2021. Data were sampled at 200 Hz, they were stored on a Datacube and regularly downloaded. We used a compass to align the instrument to geographic north.
    Keywords: eruption catalogue ; Iceland ; seismology ; volcanic tremor ; lava fountaining ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 GEYSER ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Dataset
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  • 11
    Publication Date: 2023-06-12
    Description: Abstract
    Description: During the 2018 “Mackenzie Delta Permafrost Field Campaign” (mCan2018), a test campaign within the “Modular Observation solutions for Earth Systems” (MOSES) program, ambient seismic noise recordings at the sea bottom were acquired along two 300 m long transects from the shoreline to shallow marine area close to Tuktoyaktuk Island (Canada). In total, 21 measurements were taken. Raw data is provided in proprietary “Cube” format and standard mseed format.
    Keywords: MOSES ; Modular Observation solutions for Earth Systems ; submarine permafrost ; ambient seismic noise ; H/V measurements ; Mackenzie Delta ; PASSIVE_SEISMIC 〉 STATIONS ; SENSOR 〉 OCEAN_BOTTOM_SEISMOMETER ; SENSOR 〉 3-C ; MARINE ; MINISEED_DATA_FORMAT ; SEISMIC_WAVEFORM_DATA ; EARTH SCIENCE 〉 CRYOSPHERE 〉 FROZEN GROUND 〉 PERMAFROST ; EARTH SCIENCE 〉 OCEANS 〉 MARINE GEOPHYSICS ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
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  • 12
    Publication Date: 2023-07-03
    Description: Abstract
    Description: The Early-Warning and Rapid Impact Assessment with real-time GNSS in the Mediterranean (EWRICA) is a federal Ministry of Education and Research funded project (funding period: 2020-2023) that aims to develop fast kinematic and point source inversion and modeling tools combining GNSS-based near field data with traditional broadband ground velocity and accelerometer data. Fast and robust estimates of seismic source parameters are essential for reliable hazard estimates, e.g. in the frame of tsunami early warning. Hence, EWRICA aims for the development and testing of new real time seismic source inversion techniques based on local surface displacements. The resulting methods shall be applied for tsunami early warning purposes in the Mediterranean area. In this framework, this repository is a suite of four packages that can be used and combined in different ways and are ewricacore, ewricasiria, ewricagm and ewricawebapp. These four packages can be deployed in a docker container (see instructions below) to demonstrate a possible output of Early-Warning and Rapid Impact Assessment. In the Docker, a probabilistic earthquake source inversion report (ewricasiria) and a Neural network based Shake map (ewricagm) are generated for two past earthquakes whose data (event and waveform) is continuously served by GEOFON servers at regualr intervals to produce and test a real case scenario. The whole workflow is managed by ewricacore, a central unit of work that first fetches the waveform data via the seedlink protocol and event data via event bus or FDSN web service, then collects and cuts waveforms segments according to a custom configuration, and eventually triggers custom processing (ewricasiria and ewricagm in the docker, but any processing can be implemented) whenever configurable conditions are met. The final package, ewricawebapp is a web-based graphical user interface that can be opened in your local browser or deployed on your web server in order to visualize and check all output produced by the docker workflow in form of HTML pges, images and data in various formats (e.g., JSON, log text files). The EWRICA Docker package includes the following tools: ewricacore: Central unit for all Ewrica components and event/data listener ewricagm: Create ground motion maps via pre-trained Neural Network ewricasiria: Ewrica Source Inversion and Rapid Impact Assessment Python package ewricawebapp: Ewrica web portal and GUI demo grond: A probabilistic earthquake source inversion framework (Heimann et al., 2018) stationsxml-archive: Storage repository for synchronizing Station XMLs
    Description: Other
    Description: License: GNU General Public License, Version 3, 29 June 2007 Copyright (C) 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany (Riccardo Zaccarelli). ewricacore, ewricagm, ewricasiria and ewricawebapp is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see 〈https://www.gnu.org/licenses/〉.
    Keywords: Early-Warning and Rapid Impact Assessment with real-time GNSS in the Mediterranean ; EWRICA ; source inversion ; real time seismic data ; shakemaps ; GNSS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GNSS ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 TSUNAMIS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Software , Software
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  • 13
    Publication Date: 2023-07-13
    Description: Abstract
    Description: The occurrence of exposed high-metamorphic rocks (granulites) in combination with various gravity anomalies aligned along the direction of Variscan strike characterize a special terrain (Saxothuringikum) which has been sandwiched between two major tectonic units during the Variscan orogeny. Near surface geological studies show evidence that the Saxothuringian zone represents extended crust. Therefore the model of a "metamorphic core complex" is often used to explain the exhumation of the "Saxonian granulites". The thickness of the crust, the geometry of the Moho, and the composition of middle and lower crust that underlie such" metamorphic core complexes" have remained largely unconstrained. Because these physical parameters are critical for understanding the extensional processes acting at depth, we have carried out a seismic refraction experiment in order to resolve the deeper structure of an exposed "granulite-complex". From May 6th to May 13th 1995 a seismic refraction - wide angle reflection experiment was carried out as part of the DFG-priority program: "Orogenic processes – their quantification and simulation at the example of the Variscides". Two lines, A and B, were completed in two deployments (see map in GRANU95_report.pdf). In total 12 shots were fired and over 4500 seismograms were collected using 130 instruments. Only two different types of instruments (Reftek and PDAS) have been used for recording the explosions. All instruments were equipped with a 3-component 1Hz seismometer. The 90 km long NW-SE line (deployment A, 74 instruments) from Leipzig to the Erzgebirge through the Saxonian Granulites was carried out on the 8th and 9th May 1995. Additionally 56 stations were placed symmetrically to shotpoint D along line B (perpendicular to line A). Shots were fired on locations A1, A3, A4, A2 (see map in GRANU95_report.pdf). The station spacing for this deployment was around 1.3 km. The 260 km long SW-NE line (deployment B, 93 instruments) from Dresden to Bamberg, also crossing the Saxonian Granulites was completed from 11th to 13th May 1995. Every second instrument from deployment A was moved to complete line B. Shots were fired on locations B, C, D, E, F, G, H and I (see map in GRANU95_report.pdf) and recorded along line B and line A (perpendicular to line B) at a receiver spacing of about 2.6 km.
    Keywords: Saxonian granulites ; metamorphic core complex ; seismic refraction ; geophysics ; GRANU95 – seismic refraction experiment ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 14
    Publication Date: 2023-09-01
    Description: Abstract
    Description: We present a new, consistently processed seismicity catalogue for the Eastern and Southern Alps, based on the temporary dense Swath-D monitoring network. The final catalogue includes 6,053 earthquakes for the time period 2017-2019 and has a magnitude of completeness of −1.0ML. The smallest detected and located events have a magnitude of −1.7ML. Aimed at the low to moderate seismicity in the study region, we generated a multi-level, mostly automatic workflow which combines a priori information from local catalogues and waveform-based event detection, subsequent efficient GPU-based event search by template matching, P & S arrival time pick refinement and location in a regional 3-D velocity model. The resulting seismicity distribution generally confirms the previously identified main seismically active domains, but provides increased resolution of the fault activity at depth. In particular, the high number of small events additionally detected by the template search contributes to a more dense catalogue, providing an important basis for future geological and tectonic studies in this complex part of the Alpine orogen.
    Description: TableOfContents
    Description: Seismicity catalogue Python codes & metadata Seismicity cross-sections
    Keywords: Seismology ; Seismic Waveform Analysis ; Eastern Alps ; Earthquake ; Geophysics ; Template matching ; 4DMB ; 4D Mountain Building ; EARTH SCIENCE ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE MAGNITUDE/INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; geophysics ; seismology ; surface processes ; tectonics
    Type: Dataset , Dataset
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  • 15
    Publication Date: 2023-09-21
    Description: Abstract
    Description: The increasingly high number of big data applications in seismology has made quality control tools to filter, discard, or rank data of extreme importance. In this framework, machine learning algorithms, already established in several seismic applications, are good candidates to perform the task flexibility and efficiently. sdaas (seismic data/metadata amplitude anomaly score) is a Python library and command line tool for detecting a wide range of amplitude anomalies on any seismic waveform segment such as recording artifacts (e.g., anomalous noise, peaks, gaps, spikes), sensor problems (e.g., digitizer noise), metadata field errors (e.g., wrong stage gain in StationXML). The underlying machine learning model, based on the isolation forest algorithm, has been trained and tested on a broad variety of seismic waveforms of different length, from local to teleseismic earthquakes to noise recordings from both broadband and accelerometers. For this reason, the software assures a high degree of flexibility and ease of use: from any given input (waveform in miniSEED format and its metadata as StationXML, either given as file path or FDSN URLs), the computed anomaly score is a probability-like numeric value in [0, 1] indicating the degree of belief that the analyzed waveform represents an anomaly (or outlier), where scores ≤0.5 indicate no distinct anomaly. sdaas can be employed for filtering malformed data in a pre-process routine, assign robustness weights, or be used as metadata checker by computing randomly selected segments from a given station/channel: in this case, a persistent sequence of high scores clearly indicates problems in the metadata
    Keywords: Machine learning ; Isolation forest ; Sesimic data anomaly detection ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers 〉 SEISMOMETERS
    Type: Software , Software
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  • 16
    Publication Date: 2023-10-06
    Description: Abstract
    Description: Two subglacial lakes in the western part of Vatnajökull ice cap, southeastern Iceland, 10 and 15 km WNW of Grímsvötn volcano, are the source of regular jökulhlaups in the Skaftá river. The eastern cauldron featured a jökulhlaup that started on 30 September 2015. The seismic signals generated by the flood were recorded using two seismic arrays (clusters of seismometers) operated by the Dublin Institute for Advanced Studies (DIAS) and the Icelandic Meteorological Office’s national seismic network, SIL. The arrays were maintained outside Vatnajökull ice cap. In the Vatnajökull region, the SIL network consists of stations that are partly installed on nunataks and within the ice. We performed array-processing in the frequency domain (FK-analysis) on data filtered 1.2 to 2.6 Hz using the array-processing code as implemented in Obspy to derive back azimuth and slownesses of a tremor source propagating with the flood front. We perform beam stacking in the time domain on data filtered from 5 to 20 Hz to derive the back-azimuth of high-frequency transients moving with the flood front. We used the SIL network for location and magnitude determination of 45 events near the cauldron and the flood path. These are possibly 22 icequakes and 23 earthquakes. We used the array data to apply an STA/LTA filter and template matching approach on data filtered from 1 to 15 Hz to detect 669 events associated with the flood. 30% of these could be clustered into families and are likely due to the ice-shelf collapse once the subglacial lake drained. These catalogs are further discussed and evaluated in Eibl et al. 2020 and Eibl et al. 2023. This data publications releases the catalogs of (i) tremor, (ii) located events and (iii) STA/LTA detected and clustered events.
    Keywords: Iceland ; seismology ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY
    Type: Dataset , Dataset
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  • 17
    Publication Date: 2023-10-30
    Description: Abstract
    Description: This data set contains measurements of an underground hydraulic fracture experiment at Äspö Hard Rock Laboratory in May and June 2015. The experiment tested various injection schemes for rock fracture stimulation and monitored the resulting seismicity. The primary purpose of the experiment is to identify injection schemes that provide rock fracturing while reducing seismicity or at least mitigate larger seismic events. In total, six tests with three different injection schemes were performed in various igneous rock types. Both the injection process and the accompanied seismicity were monitored. For injection monitoring, the water flow and pressure are provided and additional tests for rock permeability. The seismicity was monitored in both triggered and continuous mode during the tests by high-resolution acoustic emission sensors, accelerometers and broadband seismometers. Both waveform data and seismicity catalogs are provided.
    Keywords: hydraulic experiments ; broadband seismic data ; acoustic emissions ; Äspö Hard Rock Laboratory ; borehole images ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Dataset
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  • 18
    Publication Date: 2023-12-06
    Description: Abstract
    Description: In October 2021, GFZ installed together with INGV Catania, Iraci and ASIR Ltd (Advances Seismic Instrumentation & Research) the very first seismic borehole broadband seismometers at two selected sites at Mt. Etna, Sicily (see Fig. 1). The installation was completed under the EU-funded project ‘SiC nano for PicoGeo’ (http://www.picogeo.eu/). Site one is located next to the Astrophysical Observatory at Serra La Nave (SLN) and site two is located in the city of Mascalucia (MAS). At each site one borehole broadband seismometer was permanently installed (cemented) at approximately 70 m depth. In approx. 1-2m distance, a second ground-level borehole 4.5 Hz Geophone was temporarily installed (sanded) at 1 m depth until July 2022 (see Fig. 2). The ground-level geophones served as a local surface reference sensor to better evaluate the increase of signal quality from surface to depth. Test data were evaluated between October 2021 and July 2022. Sensor settings were adjusted during this time period to obtain the best possible data resolution at both test sites. This data publication compiles a segment of waveform recordings utilized for the assessment of data quality from the two installed broadband borehole seismometers, along with noise plots (Fig. 3-5) illustrating the enhancements in the data quality of frequency ranges compared to surface sensors at Mt. Etna.
    Description: TechnicalInfo
    Description: Description of Seismometers Broadband Borehole Seismometer AFB4.5: The ASIR borehole seismometer AFB4.5 is a combination of an active and passive sensor with an outer diameter of 61 mm. It consists of a 3-channel short-period seismometer and a 3-channel broadband accelerometer. The short-period component is a standard passive 4.5 Hz sensor and is mostly sensitive to frequencies above 4.5 Hz (earthquakes smaller than magnitude 4). The broadband component is an active Silicon Audio (SiA) interferometer-based optical accelerometer produced for shallow-to-deep boreholes. These two combined components realize the coverage of a broad span of earthquake magnitudes. The AFB4.5 sensor has a +/- 3 dB frequency-response bandwidth of 120 s – 1300 Hz, a clip level of +/- 0.5 g, and a dynamic range of 172 dB over a 1 Hz band centered at 1 Hz. The flat response spectrum (uniform bandpass) ranges from 40 s – 200 Hz. In accordance with the expected magnitudes and distance to main earthquake locations at Mt. Etna, the sampling frequency is set to 200 Hz. According to the settings, the current reliably resolution is in the frequency range of 40 s to 80 Hz. 4.5 Hz Borehole Geophone AG4.5: The additional and only temporarily deployed ground-level AG4.5 seismometer is of the same type as the short-period component in the AFB4.5 seismometer. It also operates at a sampling frequency of 200 Hz. The current reliable resolution lies within the frequency range of 4.5 Hz to 80 Hz.
    Description: Other
    Description: File description Borehole broadband seismometers: The file ‘Borehole_sensors_information.txt’ provides information on the permanently and temporarily installed borehole sensors at both installation sites. Information on gain, true bitweight and sensor sensitivity can be used to correct the raw data records. The file ‘Borehole_sensors_poles_and_zeros.xlsx’ provides poles and zeros of both sensor types. Note: The polarities of the vertical SiA (accelerometer) component of the AFB4.5 seismometer at MAS and SLN appear to be reversed compared to the vertical Geophone components of the AFB4.5 and AG4.5 seismometers. The data loggers store raw data in 1-hr Pascal files, which have been converted into mseed files. Each channel is saved as an individual mseed file. Provided are selected test data from January 2022 (for AFB4.5 and AG4.5 in MAS) and April 2022 (for AFB4.5, AG4.5 in SLN and AFB4.5 in MAS) in the zip-folders labeled ‘Waveforms_xxx_xxx’ (see below). •Zip Folder: Waveforms_SLFB_AFB45 •Zip Folder: Waveforms_SLSP_AG45 •Zip Folder: Waveforms_MAFB_AFB45 •Zip Folder: Waveforms_MASP_AG45 Co-located surface IV-ESLN sensor: The INGV IV-ESLN station is a surface broadband station with 3 components co-located at SLN. 1hr waveform files were downloaded in mseed format from EIDA Italia (source: https://eida.ingv.it/en/getdata). All 3 components are stored in one mseed file. Data that was used for comparison with the borehole sensors is stored in zip-folder ‘Waveforms_SLN_ESLN’. The respective station information is stored in a text file ‘IV_ESLN_station_info.txt’ (source: https://eida.ingv.it/en/networks/network/IV/station/ESLN).
    Description: Methods
    Description: Noise Plots Description: Figures 3-5 show representative average noise levels for the vertical components of the 68-65 m deep borehole seismometers AFB4.5 at SLN (red, magenta) and in MAS (yellow, magenta), the surface broadband seismometer IV-ESLN at SLN (black), and the short-period ground-level borehole seismometers AG4.5 in SLN and in MAS (brown). The horizontal components follow similar characteristics and are not shown here. The thin black lines show the Peterson (1993) model indicating the global average noise level (dashed line) of seismic sensors. To generate Figures 3 – 5, selected hour-windows were used, which were divided into ten 5-min time-windows to estimate the Power Spectral Density (PSD) by using a multi-taper method. The mean PSD was derived from these ten windows, providing a mean noise level for the 1-hour file. This procedure was applied for different week-days and day times between October 2021 and April 2022. The test data from April 2022, which correspond to a period of reduced volcanic activity at Mt. Etna, exhibited the highest data quality in the recording period and an example is presented in Figure 3 and 4. Due to technical issues and the earlier deinstallation of the ground-level AG4.5 sensor in MAS, a representative average noise level from January 2022 is presented in Figure 5 for the short-period AG4.5 seismometers in MAS. The findings suggest that deploying a deep borehole broadband seismometer offers the advantage of improved high-frequency resolution compared to surface or ground-level sensors. Borehole sensors enhance the detectability of high-frequency seismic and volcanic signals at Mt. Etna. Specifically, in urban setting or locations prone to weather interference, borehole sensors are a recommended choice. It is important to note that the test data did not indicate enhanced resolution of low frequencies 〈 0.05 Hz at a depth of approx. 70 m in comparison to the IV-ESLN surface broadband seismometer. Deeper installations may be necessary to achieve a better resolution.
    Keywords: noise evaluation ; volcano-seismology ; borehole broadband seismometers ; Accelerometer ; Geophone ; seismic dataset ; Etna ; data resolution ; analysis 〉 noise analysis ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING 〉 DATA DELIVERY ; evaluation 〉 comparison
    Type: Dataset , Dataset
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  • 19
    Publication Date: 2024-02-20
    Description: Abstract
    Description: This data repository contains the 3D steady-state thermal field computed for the South Caribbean and NW South America down to 75 km depth, the modelled hypocentral temperatures, the depths to the upper and lower stability transitions, as well as the seismogenic thickness calculated from selected earthquakes of the ISC Bulletin (International Seismological Centre, 2022). All methodological details can be found in the main publication (see section 2). We used the uppermost 75 km of the gravity-constrained structural and density model of Gómez-García et al. (2020, 2021) to derive the 3D thermal configuration of the study area. A steady-state approach was followed, in which upper and lower boundary conditions were set to run the thermal experiments using the software GOLEM (Cacace & Jacquey, 2017; Jacquey & Cacace, 2017). We selected earthquakes from the ISC Bulletin from January 1980 to January 2021 (International Seismological Centre, 2022), considering the magnitude of completeness for different periods, removing earthquakes without depth, set as 0 km or fixed, as well as those with reported hypocentral depth errors 〉30 km. Of this set, we selected the crustal earthquakes, located between the topo-bathymetry from the GEBCO relief (Weatherall et al., 2015) and the Moho depth from the GEMMA model (Reguzzoni & Sampietro, 2015), interpolated to a resolution of 5 km. From this earthquake subset we computed the upper and lower stability transitions for seismogenesis, as the 10th and 90th percentiles (D10 and D90), respectively, of the hypocentral depths. These percentiles were mapped on a latitude-longitude grid, using for each grid node its 20 closest earthquakes as sample. The hypocentral temperatures and the temperatures at the D10 and D90 crustal depths were calculated from the lithospheric-scale thermal model. Lastly, the crustal seismogenic thickness was computed as the difference between D90 and D10 for each grid node. For more details about the modelling approach and interpretation of the results, we kindly ask the reader to refer to the main publication: Gomez-Garcia et al., (2022).
    Keywords: 3D thermal model ; seismogenic thickness ; earthquake hypocentral temperatures ; seismogenic zone ; northwestern South America ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 20
    Publication Date: 2024-02-20
    Description: Abstract
    Description: This data repository for the Southern Caribbean and NW South America contains a 3D thermal model computed down to 75 km depth, the modelled hypocentral temperatures and geothermal gradients at the locations of crustal earthquakes, and the crustal seismogenic depths calculated from earthquake statistics, as well as the associated modelled temperatures. We used the uppermost 75 km of the gravity-constrained structural and density model of Gómez-García et al. (2020, 2021) to derive the 3D thermal configuration of the study area (5°-15° N, 63°-82° W). A steady-state approach was followed, in which upper and lower boundary conditions were set to run the thermal calculations using the software GOLEM (Cacace & Jacquey, 2017; Jacquey & Cacace, 2017). A catalogue of earthquakes occurred within the study area and surroundings was compiled from public sources. In the database archived here, we provide data of the best located crustal earthquakes within the boundaries of this area, from January 1980 to June 2021. Earthquakes below the magnitude of completeness, or with poorly determined depths, were disregarded. Earthquakes were deemed crustal if their hypocentres were located between the topo-bathymetry from the GEBCO relief (Weatherall et al., 2015) and the Moho depth from the GEMMA model (Reguzzoni & Sampietro, 2015). We computed the crustal seismogenic depth as the 90th and 95th percentiles (D90 and D95), respectively, of the crustal hypocentral depths. These percentiles were mapped on a latitude-longitude grid, using for each grid node at least the 20 closest earthquakes as sample. The hypocentral temperatures, the geothermal gradient at the earthquake locations, and the temperatures at the D90 and D95 surfaces were calculated from the lithospheric-scale thermal model. For more details about the modelling approach and interpretation of the results, we kindly ask the reader to refer to the main publication: Gomez-Garcia et al. (2023).
    Description: Other
    Description: Version history: XXXX release of version 2023. The main changes are: - New title - New earthquake dataset compiled from different sources, with more accurate hypocentral determinations. - Error propagation in the D90 and D95 depths considering the reported errors of each event. - D10 values are not computed, as they are prone to large uncertainties. - The geothermal gradient at each hypocentral location is computed and reported.
    Keywords: 3D thermal model ; seismogenic thickness ; earthquake hypocentral temperatures ; seismogenic zone ; northwestern South America ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
    Type: Dataset , Dataset
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  • 21
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The main aim of this project is to investigate the crustal and mantle structure beneath the Longmenshan fault zone in China, based on a very dense passive seismology profile. The Longmenshan fault zone hosted the Wenchuan earthquake of May 2008 with a magnitude (Mw) of 7.9 and the Lushan earthquake of June 2013 with a magnitude (Mw) of 6.6. It is planned to mainly use the receiver-function method, to investigate the crustal and mantle structure beneath the Longmenshan fault zone. Waveform data are available from the GEOFON data center, under network code 4O, and are embargoed until February 2024.
    Keywords: Broadband seismic waveforms ; Seismology ; temporary local seismic experiment ; Earthquake ; Receiver functions ; Crustal and mantle structure ; China ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH ; 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: ~1T
    Format: .mseed
    Format: XML
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  • 22
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Deployment of 10 seismometers for monitoring the induced seismicity of the Lacq gas field, France. This project focus on the analysis of the seismicity induced by anthropogenic activities (gas extraction and wastewater injection) related to the gas field, located in Lacq, France. We aim to answer the following questions: which part of the Lacq induced seismicity is generated by wastewater injection? by the mechanical evolution of the reservoir depletion? Is the seismicity confined to the (minor) faults of the reservoir or can regional tectonic faults be activated, generating large earthquakes? What scenarios of ground shaking and damages could be expected in case of a major event in the area? What is the associated seismic hazard and risk?
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; induced seismicity ; Lacq gas field ; waste water injection ; temporary seismological network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 23
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The network consists of a vertical borehole array equipped with 3C sensors (geophones) for the analysis of swarm earthquakes in the Western Bohemia / Vogtland area located in the German/Czech border region. A surface array is completing the 3D observation of the wave field with 3C sensors (geophones). Waveform data is available from the GEOFON data centre, under network code 6A, and is embargoed until FEB 2035.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; Germany ; Monitoring system ; 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: ~15T
    Format: .mseed
    Format: XML
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  • 24
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    GFZ Data Services
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The PESO array provides two weeks of local seismological observation in the vicinity of the IPOC (Plate Boundary Observatory Network Northern Chile) station Patache (CX.PATCX) to investigate the subsurface structure and the ambient seismic field. Waveform data is available from the GEOFON data centre, under network code 7F, and is fully open.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; 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: ~100G
    Format: .mseed
    Format: XML
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  • 25
    Publication Date: 2024-02-22
    Description: Abstract
    Description: This field campaign aimed at densifying the station coverage on the Armutlu Peninsula in the eastern Sea of Marmara. The Armutlu peninsula is directly crossed by the Armutlu fault, located roughly ~50 km away from the Istanbul metropolitan region. The main objective of this experiment is to characterize the seismic and aseismic deformation of this region. Waveform data are available from the GEOFON data centre, under network code 9P.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH ; 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: ~600G
    Format: .mseed
    Format: XML
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  • 26
    Publication Date: 2024-03-21
    Description: Abstract
    Description: To seismically monitor the GEOREAL hydraulic stimulation experiment, that took place during the period 6-15 November 2023, a station network was set up in the vicinity of the Kontinentale Tiefbohrung/ KTB deep crustal lab near Windischeschenbach, Germany. The network comprised both surface stations, shallow borehole (25-150 m deep) stations as well as a borehole chain at 2000 m depth in the main borehole, ca. 200m apart from the pilot borehole. First stations were installed in early 2022 and removed in mid-2024. A total of 600 m³ of water was injected into the 4 km deep pilot borehole (KTB-VB, 12° 7.16' E, 49° 48.98' N, 513.418 m above NN ). This volume was injected through a stuck packer in the cased borehole into the open borehole section a depth of 3.85-4 km. No induced seismicity was observed during the injection experiment. Waveform data is available from the GEOFON data centre, under network code 4R, and is fully open.
    Keywords: 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 ; MiniSEED ; Seismometers ; GIPP ; Local network
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 27
    Publication Date: 2024-03-28
    Description: Abstract
    Description: This archive disseminated through the GFZ-Data Service includes both results and information as-sociated to Bindi et al. (2023). In particular, the archive includes a seismic catalogue reporting ener-gy magnitude Me estimated form vertical P-waves recorded at teleseismic distances in the range 20°≤ D ≤ 98°, following Di Giacomo et al (2008, 2010). The catalogue is built considering 6349 earth-quakes included in the GEOFON (Quinteros et al, 2021) catalogue with moment magnitude Mw larger than 5 and occurring after 2011. Tools used to compute the energy magnitude are free available. In particular, we used stream2segment (Zaccarelli, 2018) to download data from IRIS (https://ds.iris.edu/ds) and EIDA (Strollo et al., 2021) repositories, and me-compute [Zaccarelli, 2023) to process waveforms and compute Me. The methodology applied to me-compute is also implemented as add-on for SeicomP (GFZ and Gempa, 2020) in order to allow the real time computation of Me (https://github.com/SeisComP/scmert).
    Description: Other
    Description: Version History: 19 February 2024: release of first version 28 March 2024: release of v.1.1 Addition of the complete list of references for the seismic networks analysed with me-compute as described in Bindi et al. (2024, ESSD). The list is provided as additional txt file in the data download section and all references were added to the XML metadata.
    Keywords: Energy magnitude ; seismic catalog ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; geological process 〉 seismic activity 〉 earthquake
    Type: Dataset , Dataset
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  • 28
    Publication Date: 2024-04-11
    Description: Abstract
    Description: The Eifel Large-N Seismic Network is a concentric network of about 80km aperture around the Laacher See. Instrumentation consists of broad band seismometers, short period instruments (1Hz eigenfrequency) and 4.5Hz geophones. While the broadband and short period stations cover the area rather homogeneously for about 12 month, the geophone stations were moved after 6 month from a layout focussed on the closer vicinity of the Laacher See onto a line crossing the network from south-west to north-east with a dense station spacing. The goal of the experiment is the structural investigation of the feeding system of the East Eifel and a detailed study of the tectonic and volcanic seismic activity in this area. Waveform data is available from the GEOFON data centre, under network code 6E.
    Keywords: 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 ; Passive seismic ; Local network ; Temporary ; Large-N ; Volcano ; Velocity ; Seismometers ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 29
    Publication Date: 2024-04-26
    Description: Abstract
    Description: A network of 210 continuously running, digital seismic stations equipped with short-period sensors (200 stations) and broadband sensors (10 stations) was deployed in an area of ~8 x ~6 km in the Irish Midlands (north of Collinstown) for a time period of ~6 weeks. The network was part of the EU project VECTOR (https://vectorproject.eu) aiming to investigate – among others – possible solutions for least invasive forms of exploration for mineral resources. In this context the collected data was mainly used to derive a 3D model of the subsurface (seismic shear wave velocity) using ambient noise tomography (down to ~1.5km depth). We thank all field crews for their excellent work rendered to the project. Waveform data is available from the GEOFON data centre, under network code 7W, and is embargoed until Feb 2025.
    Keywords: 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 ; Seismometers ; Geophone[g] ; Velocity ; MiniSEED ; Passive seismic ; GIPP ; MESI ; Raw[g] ; Local network ; Vertical component[g] ; Three-component[g] ; Land[g] ; Geophysics ; Natural
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 30
    Publication Date: 2024-05-21
    Description: Abstract
    Description: The goal of the UPFLOW project is to develop new high-resolution seismic imaging approaches along with new data collection, and to use them to constrain upward flow in unprecedented detail. We conducted a large off-shore experiment in the Azores-Madeira-Canary Islands region, which is a unique natural laboratory with multiple upwellings that are poorly understood in general. UPFLOW deployed and recovered 49 ocean bottom seismometers (OBSs) in a ~1,000×2,000 km2 area in the Azores-Madeira-Canary Islands region starting in July 2021 for ~13 months, with an average spacing of ~150-200 km. The seismic deployment and recovery involved institutions from five different countries: Portugal (IPMA, IDL, Univ. of Lisbon, ISEL), Ireland (DIAS), UK (UCL), Spain (ROA) and Germany (Potsdam University, GFZ, Geomar, AWI). 32 OBSs were rented from the DEPAS international pool of instruments maintained by the Alfred Wegener Institute (Bremerhaven), Germany, while other institutions borrowed additional instruments (7 from DIAS, 4 from IDL, 3 from ROA, 4 from GEOMAR). Most of the instruments have three-component wideband seismic sensors, but three different designs of OBS frames were used. Waveform data is available from the GEOFON data centre, under network code 8J, and is embargoed until 4 years after publishing but may be accessible upon request. We want to acknowledge the exceptional support of the whole team of able seaman, steward, cooks, engineers, mechanicians, electricians and motorman assistants of the vessel RRV Mário Ruivo. With special Thanks to José Ângelo Gomes (Captain), Luís Ramos (Superintendent), Mafalda Carapuço Vessel’s manager (IPMA), Henrique Ferreira Land logistics (IPMA), Celine Ahmed and Jen Amery (Administrative support at UCL)
    Keywords: GEOMAR ; iMarl-DIAS ; IDL ; ROA ; Pressure ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; OBS ; Passive seismic ; Velocity ; MiniSEED ; DEPAS ; Amphibious ; Mantle plume ; Regional network ; Pressure ; Three-component[g] ; Natural
    Type: Dataset , Seismic Network
    Format: 2700GB
    Format: .mseed
    Format: XML
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  • 31
    Publication Date: 2024-05-21
    Description: Abstract
    Description: 15 station seismological network spanning the North Anatolian Fault Zone (NAFZ) toward the east of Ismetpasa to detect possible microseismicity and slow slip events in the creeping section of the NAFZ. The network consists of 10 three component 4.5 Hz geophone sensors in combination with DATACUBE3 recorders and five Trillium Horizon 120 broadband seismometers connected to Centaur data loggers. Geophone stations are buried at shallow depths while two of the broadband seismometers are installed in-house at basement level. The other three Trillium sensors are posthole installations in the field. The seismic network spans the same part of the NAFZ that is also monitored by a GNSS network installed by École Normale Supérieure (ENS) with two broadband seismometers being co-located with GNSS sensors. In addition, a set of creepmeters is installed close to Ismetpasa at the western end of the seismological network. The aim of the seismological study is twofold: a) Finding possible seismological expressions of the slow slip transients visible in the GNSS data and b) detecting microseismicity that is not listed in the regional Turkish earthquake catalogs based on seismological networks with much larger station spacing in the study area. The obtained results will hopefully give new insights into the seismological characteristics of a segment of a major continental transform fault capable of hosting M7 events but showing at the same time transient slow slip events and seismic creep.
    Keywords: 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 ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI
    Type: Dataset , Seismic Network
    Format: ~307GB(still growing)
    Format: .mseed
    Format: XML
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  • 32
    Publication Date: 2024-05-21
    Description: Abstract
    Description: Continuous passive seismic monitoring is carried out between September 2017 and December 2021 around the Theistareykir geothermal area located at the intersection between the active Northern Rift Zone and the active Tjörnes Fracture Zone in NE Iceland. This experiment, in addition to an extensive gravimetric monitoring survey, was conducted in the framework of the MicroGraviMoTiS project for a better understanding of the structures and behavior of the local geothermal system under exploitation and for further development of local and regional geothermal resources. 14 broadband stations (Trillium C-120s) recording at 200 Hz comprise the temporary network, that is installed to complement stations of the national seismological network of IMO and stations of Landsvirkjun, the National Power Company of Iceland. The stations were placed in and around the producing zone to primarily retrieve local natural and/or induced seismicity associated to the injection and production operations. The retrieved seismic data is also used for obtaining a representative 1D velocity model of the region, for computing a seismic ambient noise tomography, and for monitoring the system using coda wave interferometry techniques. Funding for this project is provided by the German Federal Ministry for Education and Research (MicroGraviMoTiS , BMBF, grant: 03G0858A), the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences and Landsvirkjun. Waveform data are available from the GEOFON data center, under network code 3P, and are embargoed until December 2025.
    Keywords: Broadband seismic waveforms ; Seismology ; temporary local seismic experiment ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH ; 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 ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI ; Volcano
    Type: Dataset , Seismic Network
    Format: 783GB
    Format: .mseed
    Format: XML
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  • 33
    Publication Date: 2024-05-28
    Description: Abstract
    Description: From June to August 2021 the DEEPEN project deployed a dense seismic network across the Hengill geothermal area in southwest Iceland to image and characterize faults and high-temperature zones at high resolution. The nodal network comprised 498 geophone nodes spread across the northern Nesjavellir and southern Hverahlíð geothermal fields and was complemented by an existing permanent and temporary backbone seismic network of a total of 44 short-period and broadband stations. In addition, two fiber optic telecommunication cables near the Nesjavellir geothermal power plant were interrogated with commercial DAS-interrogators. The here published dataset contains a subset of the downsampled DAS-recordings from the western fiber optic array. The original data were downsampled from 2000Hz to 250 Hz using the das-convert tool (https://doi.org/10.5880/GFZ.2.1.2021.005). Note that there was a problem with the GNSS timing in the original recorded data which caused significant temporal drift. This has mostly been corrected in the downsampled data, but some residual timing error may exist. Waveform data is available from the GEOFON data centre, under network code 1D, and is fully open.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; DAS
    Type: Dataset , Seismic Network
    Format: 1700GB
    Format: .mseed
    Format: XML
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  • 34
    Publication Date: 2024-05-28
    Description: Abstract
    Description: This repository contains the site amplification functions obtained by Bindi et al. (2023). The site amplifications were obtained through a Generalized Inversion Technique (GIT) applied to seismic recordings downloaded from EIDA (Strollo et al., 2021) and EarthScope (https://service.iris.edu/) using stream2segment software (Zaccarelli, 2018). We computed the Fourier spectra of S-waves windows considering the square root of the sum of the two horizontal components squared. The site amplifications are relative to the station CH.LSS (station Linth-Limmern of the Swiss network, https://stations.seismo.ethz.ch/en/station-information/station-details/station-given-networkcode-and-stationcode/index.html?networkcode=CH&stationcode=LLS), installed on rock with shear wave velocity averaged over the top 30 m equal to vs30=2925 m/s (Fäh et al. 2009). The site amplification at the reference station LLS is constrained to be equal to 1 for frequencies f below 10 Hz and to the function exp[−0.015π(f−10)] above 10 Hz, to account for near-surface attenuation effects at high frequencies. Details about the decomposition can be found in Bindi et al (2023). The file siteAmp_repo.csv uses as field separator the semicolon (;). It contains: - column freq: values of frequency between 0.5 and 20 Hz; - columns with site amplifications: 3001 columns with column name given by network_station_channel (e.g. GR_MOX_HH indicated station MOX of network GR, channel HH). The R script (R Core Team, 2024) plotRepo.R shows how to read and plot the site amplification for a given station.
    Keywords: Site amplification ; Europe ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; geological process 〉 seismic activity 〉 earthquake
    Type: Dataset , Dataset
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  • 35
    Publication Date: 2024-05-30
    Description: Abstract
    Description: The dataset contains three seismicity catalogs covering the first 5 days of the aftershock sequence of the Mw 7.8 Karamanmaraş and Mw 7.6 Elbistan earthquakes that occurred in Türkiye on February 6th, 2023. The catalogs are derived from machine learning (ML) approaches operating on continuous data from 38 permanent seismological stations covering the area of the aftershock sequence and span the time interval 06.02.2023-10.02.2023. The seismological stations are operated by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute). Automatic P- and S-phase picks were obtained using the deep learning PhaseNet software (Zhu & Beroza, 2019), and either GaMMA (Zhu et al., 2022) or GENIE (McBrearty & Beroza, 2023) routines were used to associate these phases into seismic events. The probabilitic NLLoc earthquake location software (Lomax et al., 2009) was used to produce single event locations and final relative relocations were obtained after applying the hypoDD software (Waldhauser & Ellsworth, 2000). This resulted in two single event location NLLoc aftershock catalogs based on GaMMA and GENIE event association and containing 17,550 and 14,805 event detections in the time interval 06.02.2023 01:18 UTC - 11.02.2023 00:00 UTC, respectively. The hypoDD based catalog of better constrained relative relocations contains 5,215 events. The magnitude range is between M-0.1 and M6.9 with time-variable magnitude of completeness. The catalog covers the area 36.00S-39.00S and 35.40E-40.00E. The full description of the data and methods is provided in the data description file.
    Keywords: East Anatolian Fault Zone ; Kahramanmaraş earthquake ; enhanced seismicity catalog ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES
    Type: Dataset , Dataset
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  • 36
    Publication Date: 2024-06-12
    Description: Abstract
    Description: The data present the intermediate to final results when we introduce a two-step fully Bayesian approach with coupled uncertainty propagation for estimating crustal isotropic and radial anisotropy models using Rayleigh and Love dispersion data along with receiver functions in Sri Lanka. In the first step, 2D surface wave tomography is used to generate period-wise ambient noise phase velocity maps for Rayleigh and Love waves along with their associated uncertainties. Here we provide the inter-station dispersion data (folder: 2024-003_1_Ke-et-al_interstation_surface_ dispersion_curves; ASCII) for the 2D surface wave tomography process, along with the results of the tomography, including the velocity maps (folder: 2024-003_Ke-et-al_2_velocity_map; ASCII). In addition, the results (folder: 2024-003_3_Ke-et-al_2Dmcmc_inversion_results) are available in MAT format, along with a MATLAB script to allow users to extract the data independently. In a second step, local surface wave dispersion and model errors are derived from the velocity maps. The surface wave dispersion receiver functions are jointly inverted to obtain the isotropic mean shear wave and radial anisotropy profiles as a function of depth at each station site. The input data (folder: 2024-003_Ke-et-al_4_inv_data; ASCII) of surface dispersion and receiver function for the inversion are presented here, as well as the final result model from the inversion (folder: 2024-003_Ke-et-al_5_model; ASCII and .dat formats).
    Keywords: seismic crustal structure ; Bayesian joint inversion ; seismic ambient noise ; receiver functions ; radial anisotropy ; Bayesian joint inversion ; seismic ambient noise ; receiver functions ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Dataset , Dataset
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  • 37
    Publication Date: 2024-06-21
    Description: Abstract
    Description: This data repository contains electrical and seismic tremor measurements, thermal infrared imagery, atmospheric conditions and information on plume heights that were recorded and collected during the 2021 Tajogaite eruption on La Palma, Canary Islands, Spain. The 2021 Tajogaite eruption lasted from 19 September until 13 December 2021. The "data description" file provides more detailed information on each dataset and the way the data is formatted. The electrical data was recorded using a Biral Thunderstorm Detector BTD-200. This sensor was installed at two consecutive locations: BTD1 (28.635°N, 17.876389°W) recorded from 11-26 October 2021 and BTD2 (28.602365°N, 17.880475°W) recorded from 27 October 2021 until the end of the eruption. The volcanic tremor measurements were recorded at seismic station PLPI (28.5722°N, 17.8654°W), which was operated by the Instituto Volcanológico de Canarias. Here we provide the seismic tremor amplitudes within the Very Long Period (0.4-0.6 Hz) and the Long Period (1-5 Hz) frequency bands between 10 September and 20 December 2021. Thermal infrared videography of the explosive volcanic activity was done using an InfraTec HD thermal infrared (TIR) video camera. This camera was installed in El Paso (28.649361°N, 17.882279°W) and recorded almost continuously between 3-8 November 2021. Here we provide individual thermal infrared frames. Atmospheric conditions were obtained from weather balloon measurements at Güímar (station nr. 60018) on Tenerife, which were provided by the University of Wyoming, Department of Atmospheric Science (http://weather.uwyo.edu/). In addition, atmospheric data was collected from ground-based weather stations at El Paso and Roque de los Muchachos, which were operated by the State Meteorological Agency (AEMET) of Spain on La Palma. Information on the volcanic plume heights was obtained from both the Toulouse Volcanic Ash Advisory Center (https://vaac.meteo.fr/volcanoes/la-palma/) as well as the Plan de Emergencias Volcánicas de Canarias.
    Keywords: Volcanic lightning ; Volcanic ash ; Biral Thunderstorm Detector ; Electrostatic measurements ; 2021 Tajogaite eruption ; Cumbre Vieja volcanic ridge ; La Palma ; Canary Islands ; Movement of charge ; Volcanic plume height ; Ice nucleation ; Lava fountaining ; Strombolian activity ; Ash emission ; Gas jetting ; Explosive volcanic activity ; Seismic tremor ; Thermal infrared rise diagram ; Isotherms ; Principal Component Analysis (PCA) ; Very Long Period (VLP) ; Long Period (LP) ; Balloons/Rockets 〉 RADIOSONDES ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC ELECTRICITY 〉 ELECTRIC FIELD ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC ELECTRICITY 〉 LIGHTNING ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE MAGNITUDE/INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 ASH/DUST DISPERSION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 VOLCANIC EXPLOSIVITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 VOLCANO MAGNITUDE/INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 VOLCANO PREDICTIONS ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING 〉 INFRARED WAVELENGTHS 〉 THERMAL INFRARED ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 GEOLOGICAL ADVISORIES 〉 VOLCANIC ACTIVITY ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 WEATHER/CLIMATE ADVISORIES 〉 DUST/ASH ADVISORIES ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 WEATHER/CLIMATE ADVISORIES 〉 PRESENT WEATHER ; geological process 〉 volcanism 〉 volcanic eruption ; hazard 〉 natural hazard ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 VOLCANO OBSERVATORY ; In Situ Land-based Platforms 〉 WEATHER STATIONS/NETWORKS 〉 METEOROLOGICAL STATIONS ; In Situ Land-based Platforms 〉 WEATHER STATIONS/NETWORKS 〉 WWLLN ; In Situ/Laboratory Instruments 〉 Electrical Meters ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers 〉 SEISMOMETERS ; monitoring 〉 seismic monitoring ; physical process 〉 transport (physics) 〉 mass transport (physics) ; physical property 〉 electricity ; science 〉 natural science 〉 earth science 〉 geology 〉 volcanology ; science 〉 natural science 〉 earth science 〉 geophysics ; science 〉 physical science 〉 physics 〉 atmospheric physics
    Type: Dataset , Dataset
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  • 38
    Publication Date: 2024-07-01
    Description: Abstract
    Description: The ability to use geothermal resources to generate heat in urban areas where the demand is greatest has the potential to significantly reduce our reliance on fossil fuels, and to support sustainable energy policies. Potential deep geothermal resources in challenging, lower-enthalpy EU settings remain poorly understood and largely untapped. The GEO-URBAN project aims to explore the potential for low enthalpy geothermal in urban environments. The project will focus on two target locations – Dublin, Ireland and Vallès, Spain – and will provide a feasibility analysis for the commercial development of deep geothermal resources in these regions. The overall objective of GEO-URBAN is to identify the geothermal resources available in two challenging urban locations and to demonstrate a commercialisation strategy that has the potential to be adapted in other similar locations. Waveform data is available from the GEOFON data centre, under network code 1V, and is {fully open.
    Keywords: 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 ; Passive seismic ; Seismometers ; Velocity ; MiniSEED
    Type: Dataset , Seismic Network
    Format: 114.4GB
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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