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  • EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY  (17)
  • GFZ Data Services  (17)
  • American Physical Society (APS)
  • Institute of Physics
  • 2020-2024  (17)
  • 1980-1984
  • 1
    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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  • 2
    Publication Date: 2023-07-12
    Description: Abstract
    Description: From June to August 2021 the DEEPEN project deployed a dense seismic nodal 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. During the time of deployment, a vibroseis survey took place around the Nesjavellir power plant. The here published dataset contains a subset of the downsampled DAS-recordings from the eastern fiber optic array. To save storage space, only every fourth trace was made available. The original data were downsampled from 1000Hz to 250 Hz using the das-convert tool (https://doi.org/10.5880/GFZ.2.1.2021.005). Further traces or the original data can be obtained upon request. Waveform data are available from the GEOFON data centre, under network code ZH.
    Keywords: DAS ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~110G
    Format: .mseed
    Format: XML
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  • 3
    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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  • 4
    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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  • 5
    Publication Date: 2024-01-23
    Description: Abstract
    Description: The _ICDPEGER virtual network aggregates data collected as part of the ICDP Eger project in the NW Bohemia and Vogtland region at the border of the Czech Republic and Germany from 2017 until 2022. Data collected in the ICDP Eger will eventually consist of seismic and fluid data. Seismic data is from following components: the Landwüst 3D array S1-site (UP, GFZ, CU, UL/LfULG, network code 6A); the Tisová S2 site, (planned) (GFZ and UP, CU); the Studenec well S3 (IG CAS and CU); the Liba Maar well S4 (CU, GFZ and UP); the wells F1-F3 in Hartusov (CU and GFZ). Fluid data consists of the following components: CarbonNet (CU); Sibyllenbad and Bad Brambach (GFZ); as well as the wells F1-F3 in Hartusov (CU and GFZ). A selection of these are included in the virtual network and are available from the GEOFON data archive under the '_ICDPEGER network code. There is an embargo period of 3 years after data origin before data be made automatically open and available. Data are licensed and distributed with Creative Commons Attribution 4.0 International Public License (CC-BY-4.0) after the end of the embargo period.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: 〉1T
    Format: .mseed
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  • 6
    Publication Date: 2024-02-06
    Description: Abstract
    Description: The project DARE proposes an integrated study of seismic site effects on the deep and elongated Messinian Rhône Canyon (French Rhône Valley). Lithological information from boreholes reaching the bedrock and preliminary geophysical campaigns indicate that the canyon can reach locally 〉500 m and may be deeply incised. The strong material contrast between the sedimentary filling and the substratum, as well as its expected confined geometry make this canyon a good candidate for generating various kinds of multi-dimensional site effects. Waveform data are available from the GEOFON data centre, under network code Y7.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
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  • 7
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Geophysical section of Dublin institute for Advanced studies is a publicly funded (government) academic research organization that develop new methods for studying the earth. In this project we are trying to develop new environmentally friendly ways to monitoring ground integrity. The idea is to use ground vibrations from natural and man-made sources, that already exist in everyday life for monitoring ground integrity. Here we would like to see if ground vibrations made by passing trains can be used to determine the integrity of the ground beneath the train track itself. This project involves the recording and analysis in detail the seismic vibrations generated by trains in order to better understand the proprieties of the waves propagating from the railway trough the shallow underground. Waveform data are available from the GEOFON data centre.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~8GB
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  • 8
    Publication Date: 2024-02-23
    Description: Abstract
    Description: IMAGE is a two year seismological experiment realized at the Reykjanes Peninsula by Philippe Jousset (GFZ Potsdam) and Gylfi P. Hersir (ISOR Iceland). Reykjanes Peninsula is located at the southwestern tip of Iceland, at the emergent part of the Mid-oceanic Ridge. This area has a high seismicity and is exploited for its high geothermal potential. The deployment is performed to carry out a local seismological study with techniques such as seismic tomography (earthquake based, e.g. Jousset et al., 2016, and ambient noise e.g., Martins et al., 2020). The aim of the seismic experiment is to monitor the seismic activity associated with the rift processes (Blank et al., 2020) and/or the induced seismicity. The network comprised 30 onland stations (GIPP) and 21 Ocean Bottom Seismometers (Lobsters, DEPAS). Onland stations were deployed from April 2014 until August 2015 and comprise 20 broadband seismic stations (Nanometrics Trillium Compact 120 s), 10 short-period sensors (Mark sensors 1 Hz) and data loggers (DATA-CUBE) with acquisition frequencies of 200 Hz. Sensors were buried 30-40 cm deep in the ground in containers. Data gaps are minimal, and occurred every 3 months when the batteries were exchanged and data downloaded from the DATA-CUBEs. OBS were deployed in August 2014 and recorded for about a year. From this dataset, a catalogue of about 2000 earthquakes could be extracted. Waveform data are available from the GEOFON data centre, under network code 4L.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~3.2T
    Format: .mseed
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  • 9
    Publication Date: 2024-02-23
    Description: Abstract
    Description: In the frame of the EU-project COSEISMIQ (COntrol SEISmicity and Manage Induced earthQuakes) natural and induced seismic events were monitored in Iceland. A temporary seismic network has been deployed in the Hengill geothermal region in Iceland, where the two largest geothermal power plants of the country are currently in operation. The GFZ contribution was the installation and operation of a small-scale seismic array in 2019-2021 in the vicinity of the broadband station MEI05 (ETH), in cooperation with ISOR (Iceland), ETH (Zurich) and DIAS (Dublin). This dataset is particularly valuable since a very dense network was deployed in a seismically active region where both induced and natural seismicity are occurring. For this reason, the collected COSEISMIQ-dataset can be used within a broad range of research topics in seismology ranging from the development and testing of new data analysis methods to induced seismicity and seismo-tectonics studies.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~100G
    Format: .mseed
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  • 10
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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
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  • 11
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Strokkur_1yr is a one year seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Thomas R. Walter, Phillippe Jousset, Torsten Dahm, Masoud Allahbakhshi, Daniel Müller from GFZ Potsdam and Gylfi P. Hersir from ISOR Iceland. The geyser is part of the Haukadalur geothermal area in south Iceland, which contains numerous geothermal anomalies, hot springs, and basins (Walter et al., 2018). Strokkur is a pool geyser and has a silica sinter edifice with a water basin on top, which is about 12 m in diameter with a central tube of more than 20 m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from June 2017 to June 2018 using four broadband seismic stations (Nanometrics Trillium Compact Posthole 20 s). Sensors were buried 30–40 cm deep in the ground at distances of 38.8 m (G4, SE), 47.3 m (G3, SW), 42.5 m (G2, N), and 95.5 m (G1, NE) from Strokkur center. Data gaps represent 15–44 % of the records as during the winter period maintenance intervals were longer and battery drainage was high. However, at any given time, at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, a catalogue of 70,000 eruptions was determined and further investigated in Eibl et al. (2020) Waveform data are available from the GEOFON data centre, under network code 7L.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~100G
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  • 12
    Publication Date: 2024-04-11
    Description: Abstract
    Description: Understanding physical processes prior and during eruptions remains challenging, due to uncertainties about subsurface structures and undetected processes within the volcano. Here, the authors use a dedicated fibre-optic cable to obtain strain data and identify volcanic events and image hidden near-surface volcanic structural features at Etna volcano, Italy. In the paper Jousset et al. (2022), we detect and characterize strain signals associated with explosions, and we find evidences for non-linear grain interactions in a scoria layer of spatially variable thickness. We also demonstrate that wavefield separation allows us to incrementally investigate the ground response to various excitation mechanisms, and we identify very small volcanic events, which we relate to fluid migration and degassing. We recorded seismic signals from natural and man-made sources with 2-m spacing along a 1.5-km-long fibre-optic cable layout near the summit of actives craters of Etna volcano, Italy. Those results provide the basis for improved volcano monitoring and hazard assessment using DAS. This data publication contains the full data set used for the analysis. This data set comprises strain-rate data from 1 iDAS interrogator (~750 traces), velocity data from 15 geophones and 4 broadband seismometers, and infrasonic pressure data from infrasound sensors. For further explanation of the data and related processing steps, please refer to Jousset et al. (2022). Waveform data are available from the GEOFON data centre, under network code 9N.
    Keywords: fibre optics ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Volcano ; Velocity ; DAS ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~600G
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  • 13
    Publication Date: 2024-04-11
    Description: Abstract
    Description: In January 2020, a swarm of earthquakes started under Thorbjorn volcano, Reykjanes, SW Iceland, associated to the uplift of up to 0.5 cm per day. Concern in Iceland was growing and the Iceland Meteorological Office suggested at that time that possibly magma intruded in the crust at shallow depth (3 to 9 km). The first eruption occurred on 19.03.2021, followed by many others in the foolwing years. The GFZ started a seismological Hazard and Risk Team (HART), as soon as February 2020 in cooperation with IMO, ISOR and the University of Iceland. The interrogator was located in Grindavik and was connected to a standard telecom cable. The full data dataset of this 5J network comprise 250 Tb of raw data. The standard infrastructure is not designed for such large data set. Therefore, we implement here several datasets, corresponding to several processing and associated publications. Specific full data set is available upon request to the authors. In Flovenz et al., 2022, the data subset comprise a selection of wave-forms recorded along an optical fibre of 21 km length. The subset consists of 40 channels at 100 Hz (spatially stacked 9x). The whole time period from January until August 2020 is covered, with a total size of 496 GB. The data is MiniSEED at 4096 bytes record length with STEIM2. In Maass et al., 2024, the data subset consists of two sections of contiguous channels (1701-2000 and 3921-4218, spatial sampling 4 meters) of dynamic strain rate down sampled at 5 Hz. The whole time period from January until August 2020 is covered, with a total size of 340 GB. The data is MiniSEED at 4096 bytes record length with STEIM2.
    Keywords: fibre optics ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Volcano ; Velocity ; DAS ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~500G
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  • 14
    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
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  • 15
    Publication Date: 2024-05-21
    Description: Abstract
    Description: The STRATEGy network was a temporary seismic network in the NW Argentinean Andean Foreland. It run for about 15 months between June 2016 and August 2017 and consisted of 13 stations for the most parts. Each station contains a Lennartz LE3D/5s seismometer, an Omnirecs DataCube³ext digitizer (100 Hz sampling rate) with external GPS antenna and internal flash memory. Station 14A consisted of a Mark L-4C-3D short-period sensor. The power was supplied through an external batteries that were recharged during the day via a solar panel. The sensors were oriented to magnetic north. The header of the waveform files (NSLC-IDs) still remained in its prior form (network code ST) and haven’t been adapted to the FDSN given code. Station codes (double digits) were assigned from North to South. The last digit of the station code is either A (for their initial position of a station site) or B (the station has been moved during the networks operation time due to low quality recordings at the respective initial site). Each site was chosen on 3 criteria: (1) minimizing the depth to bedrock, (2) maximizing remoteness, and (3) maximizing security, preferentially located within sight of nearby settlements. However, one station (02A) was lost due to theft and many others experienced recording gaps due to animals chewing on cables, malfunctions of electrical parts and mainly flooding of the stations during the austral summer monsoon. The overall network geometry evolved partially due to accessibility of remote locations, maintaining similar interstation distances and focusing around the epicenter of the Mw 5.7 El Galpón earthquake 9 months prior to the network’s starttime. The smallest depths to bedrock were achieved by concentrating the sites around two major bedrock ranges and their piedmont, Cerro Colorado and Sierra de la Candelaria. Waveform data are available from the GEOFON data centre, under network code 2S.
    Keywords: Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED
    Type: Dataset , Seismic Network
    Format: 111GB
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2024-05-21
    Description: Abstract
    Description: Geophysical section of Dublin institute for Advanced studies is a publicly funded (government) academic research organization that develop new methods for studying the earth. In this project we are trying to develop new environmentally friendly ways to monitoring ground integrity. The idea is to use ground vibrations from natural and man-made sources, that already exist in everyday life for monitoring ground integrity. Here we would like to see if ground vibrations made by passing trains can be used to determine the integrity of the ground beneath the train track itself. This project involves the recording and analysis in detail the seismic vibrations generated by trains in order to better understand the proprieties of the waves propagating from the railway trough the shallow underground. Waveform data are available from the GEOFON data centre.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED
    Type: Dataset , Seismic Network
    Format: 8.3GB
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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  • 17
    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
    Location Call Number Expected Availability
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