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  • Data  (367)
  • Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total  (291)
  • Monitoring system
Collection
Keywords
  • 1
    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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  • 2
    Publication Date: 2024-02-23
    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: 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: ~110G
    Format: .mseed
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  • 3
    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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  • 4
    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
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  • 5
    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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  • 6
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Project SWEAP (Southwest Indian Ridge Earthquakes and Plumes), a collaborative effort led by the Alfred-Wegener-Institute, installed a network of 10 broad-band ocean bottom seismometers (OBS) along the ultraslow-spreading Oblique Supersegment of the Southwest Indian Ridge. The presented data set covers the continuous records of 8 stations of the network provided by the DEPAS instrument pool. One station of the original network could not be recovered, another one did not return data. The instruments were spaced at roughly 15 km intervals in a triangular shape network to either side of the rift axis covering about 60 km along axis between 13°E and 13.8°E and 60 km across axis between 52°S and 52.6°S. The determination of the OBS positions is described by Schmid et al. (2016). The network design was optimized for detecting and locating deep seismicity in the area. The rift valley was filled with soft silica ooze, producing considerable delay of S-phases at selected stations. Instrument deployment started during RV Polarstern cruise ANT-XXIX/2 on December 05 2012. Instrument recovery was completed during RV Polarstern cruise ANT-XXIX/8 on November 26 2013. 5 Refraction seismic lines were acquired by RV Polarstern cruise ANT-XXIX/8 from November 17 to 19 in 2013. All OBS could be synchronized with the GPS clock upon recovery such that skew values describing the clock drift are available for all stations. The non-linear clock drift of station SWE05 was determined by means of noise cross-correlations and applied to the data set. All other stations show a linear drift, which was corrected.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Ocean-bottom seismometer ; OBS ; Southwest Indian Ridge ; passive seismology ; DEPAS ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
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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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    Format: XML
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  • 8
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    GFZ Data Services
    Publication Date: 2024-02-23
    Description: Abstract
    Description: This dataset includes five stations of an Ocean Bottom Seismometer (OBS) experiment conducted at the southern end of the Fonualei Rift and Spreading Center in the Lau Basin, southwestern Pacific. The OBS recorded continuously for 32-days on 4 components, including a hydrophone and a 3-component 4.5 Hz geophone. The experiment was conducted during RV Sonne cruise SO267, project ARCHIMEDES I.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Ocean-bottom seismometer ; OBS ; passive seismology ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~60G
    Format: .mseed
    Format: XML
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  • 9
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    GFZ Data Services
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The goal of Inter-Wind is to investigate and predict the induced seismic signals of wind turbines at different locations in Southern Germany. The experiments involve various sensor types and data loggers.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; passive seismology ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~39GB
    Format: .mseed
    Format: XML
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  • 10
    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
    Format: .mseed
    Format: XML
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  • 11
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    GFZ Data Services
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Ireland Array is an array of 20 broadband seismometers that was operated by the Dublin Institute for Advanced Studies across the Republic of Ireland. The array comprised up to 20 stations running simultaneously, all equipped with Trillium 120PA seismometers and Taurus data loggers. The 20 stations were installed in 2010–2012. Some of the stations were moved to new locations in Ireland in the course of the operation of the array, either in order to enhance the data sampling of the island or when the old deployment sites became unsuitable. Ireland Array dramatically increased the seismic data sampling of Ireland and enabled advances and discoveries in the studies of the structure and evolution of Ireland’s crust and lithosphere, seismicity of Ireland, and mechanisms of the Paleogene intraplate volcanism in Ireland and surroundings.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~2.4TB
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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
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 14
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 15
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 16
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 17
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 18
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 19
    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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  • 20
    Publication Date: 2024-02-23
    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
    Type: Dataset , Seismic Network
    Format: ~1T
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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
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  • 22
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The temporary seismic array of MySCOLAR in northern Myanmar consists of 30 broadband stations. The overall scientific goals are to understand the transition from continental collision to oceanic subduction, to quantify the partitioning of deformation in the accretionary prism, in the Burma Plate and along the strike-slip Sagaing fault system and to image the subducting Indian Plate beneath Myanmar and southwest China. The seismological analysis methods applied to this dataset will include location of local earthquakes and determining their focal mechanisms, surface wave tomography from ambient noise and earthquake data, body wave tomography from local and teleseismic earthquakes, full waveform inversion for Earth structure, receiver functions, and shear wave splitting. A subset of the stations was transmitting data in real time, and these stations contributed to real-time earthquake analysis by the Department of Meteorology and Hydrology (DMH) in Myanmar and the GEOFON earthquake monitoring service. Waveform data are available from the GEOFON data centre, under network code 6C.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
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  • 23
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 24
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 25
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 26
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 27
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 28
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 29
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Volcanic eruptions are regularly observed on the island of Fogo, Cape Verde, with an average re-occurrence interval of ca. 20 years. However, the structure and extent of the related volcanic plumbing system are not well understood. Previous studies have investigated earthquakes related to magmatic processes connected with the Fogo volcano using conventional network configurations. Seismicity has been reported to occur mainly southwest of the island of Brava while a more recent study reports on activity focussed between Brava and Fogo. Multi-array seismology has the potential to significantly reduce the localization errors of seismic events in particular for those outside a station network and to lower the detection threshold. The subject of this study is the investigation of the local volcano-related seismicity applying multi-array methods which is a unique task amongst the research activities at German universities. The scientific aims are (a) to precisely map local events to constrain the structure of and the dynamic processes within the volcanic plumbing system, (b) to image the magma source region below the Fogo volcano using reflected and backscattered waves, and (c) to localize low-frequency volcanic tremor events. Waveform data are available from the GEOFON data centre, under network code 9J, and are embargoed until February 2022.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
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  • 30
    Publication Date: 2024-02-21
    Description: Abstract
    Description: The Bransfield Strait is a seismically active extensional rift located between the Antarctic Peninsula and the South Shetland Islands. The Strait is partly located on continental crust including areas within the transition to seafloor spreading. The amphibious seismic network BRAVOSEIS is an international effort focused on the seismological research of submarine volcanoes and rift dynamics in the Bransfield Strait. This network is the onshore component of the entire network consisting of 15 broadband land stations deployed in the South Shetland Islands and Antarctic Peninsula between January 2018 and February 2020. The offshore components (network code ZX) include 9 broadband ocean bottom seismometers (OBS) across the Central Bransfield Basin and a group of 6 hydrophone moorings spanning the rift area of 200 x 100 km2, with inter-station distance of ~30 km. Additionally, a smaller offshore array consisting of 15 short-period OBSs with an aperture of 20 km and a narrow inter-station distance of ~4 km was deployed around the Orca submarine volcanic edifice south of King George Island. The data will be used to study the geodynamics of the Bransfield Strait and the evolution of the incipient rifting zone in the domain where extension has been suggested. Seismological methods will include earthquake location, source mechanism, surface wave analysis with ambient noise and earthquake data, receiver function and shear wave splitting. The results may shed light on the crustal structure and tectonic regime in the region and image the location and extent of magma accumulations related to submarine volcanic structures. Finally, the results should provide clues to assess the internal processes that occur in the submarine volcanoes of the area undergoing rifting. Waveform data are available from the GEOFON data centre, under network code 5M, and are embargoed until March 2024.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
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  • 31
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    GFZ Data Services
    Publication Date: 2024-02-21
    Description: Abstract
    Description: The complete network consisted of 11 stations deployed on the island of Fogo, Cape Verde. Eight of the stations formed an arraywith an aperture of 700 m, deployed in the south of the island near the village of Achada Furna. Seven of the array stations were equipped with 3-component 4.5 Hz geophones, one with a Trillium Compact (broad-band) sensor. The remaing three stations were distributed across the island and equipped with Trillium Compact sensors. Data were recorded continuously from October 2015 to December 2016 with a sample rate of 200 Hz. Due to limited data storage, there are four recording gaps (20/12/2015-14/01/2016; 28/03/2016-04/04/2016; 17/06/2016-18/07/2016; 01/10/2016-18/10/2016). The network served as a pilot study for the more comprehensive study, FoMaPS, from 2017 to 2018 (FDSN code 9J), involving station deployments on Fogo and Brava. Waveform data are available from the GEOFON data centre, under network code 5M, and are embargoed until July 2021.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~300G
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  • 32
    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
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  • 33
    Publication Date: 2024-02-23
    Description: Abstract
    Description: As part of project FUTUREVOLC, European volcanological supersite in Iceland: a monitoring system and network for the future, two 7-element seismic broadband arrays were installed outside the western margin of Vatnajökull glacier, Iceland. The goal was to study seismic tremor associated with floods originating in the eastern and western Skaftár cauldrons. A third temporary array was installed during the Bárðarbunga 2014-2015 volcanic eruption near the eruption site. The aim of the array installations was to discriminate between different seismic tremor sources, namely volcanic eruptions, lava flows, hydrothermal explosions and subglacial floods (jökulhlaups). The main aim of the two arrays installed on the western margin of Vatnajökull was to study their early-warning potential through the analysis of four subglacial floods observed during the study period. The seismic vibrations associated with these floods have an emergent start, are of long duration and are referred to as tremor or high-frequency noise. Due to the lack of clear discrete onsets they cannot be located using traditional earthquake location methods. Instead clusters of seismometers (called arrays) are employed to both locate the tremor source and determine the wave type in the tremor (surface vs. body waves). The array data recorded during the Bárðarbunga eruption were used to investigate the nature of shallow, pre-eruptive, long-duration seismic tremor activity related to shallow dyke formation. The sources of the tremor were found to locate at the eruption site and under ice cauldrons which formed on the ice surface during the first weeks of the unrest. Waveform data are available from the GEOFON data centre, under network code 5L.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~570G
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  • 34
    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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  • 35
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 36
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 37
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 38
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 39
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 40
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 41
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 42
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 43
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 44
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 45
    facet.materialart.
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 46
    Publication Date: 2023-02-08
    Description: Abstract
    Description: SMARTIE1 is a joint seismological experiment of the Karlsruhe Institute of Technology (KIT) and the Leipzig University. We installed in total 36 seismic stations as ring-like and profile-like measurements near to a single wind turbine (WT) at the Fraunhofer Institute for Chemical Technology (ICT) in Pfinztal, SW Germany, for 21 days. The main goals of this project are a better understanding of a single WT as a seismic source and the development of propagation models for the WT-induced seismic signals, depending on the geological properties. Waveform data are available from the GEOFON data centre, under network code X8 (under CC-BY 4.0 license according to GIPP-rules), and are embargoed until Jan 2020.
    Keywords: Broadband seismic waveforms ; Seismology ; temporary local seismic experiment ; induced seismic signals ; wind turbine ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
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  • 47
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Our understanding of the effects of ice on channel morphodynamics and bedload transport in northern rivers, frozen for several months, are hindered by the difficulties of ‘seeing’ through the ice. We use continuous seismic records of a small network at the Sävar River in northern Sweden to interpret processes and quantify water and sediment fluxes. We apply a seismic inversion approach to determine seasonal differences in hydraulics and bedload sediment transport under ice-covered vs. open-channel flow conditions and provide a first-order estimation of sediment flux in that Fennoscandian river. Analysis of seismic signals of ice-cracking support our visual interpretation of ice break-up timing and the main ice break-up mechanism as thermal rather than mechanical. Waveform data are available from the GEOFON data centre, under network code 8E, and are available under CC-BY 4.0 license.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~100G
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  • 48
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The Liquiñe-Ofqui fault system (LOFS) in south-central Chile provides a natural laboratory to assess the interplay between magma/hydrothermal fluid flow and crustal deformation. Understanding these processes is of paramount importance for geothermal energy exploration and seismic hazard assessment. We deployed a dense seismic network (Sielfeld et al., 2019) at the northern termination of the LOFS in south-central Chile (~38°S) between 2014 March and 2015 June. The main aim was to better understand the significance and implications of seismic activity in relation to geological information such as the complex fault-fracture network, volcanoes, and the stress field estimated from geological data. As a result, the network was designed to monitor the northern segment of the LOFS on a more regional scale rather than concentration on the activity of one volcano. The network covered a ~200‐km‐long section of the Southern Volcanic Zone, including several Holocene stratovolcanoes (Callaqui, Copahue, Caviahue Caldera, Tolhuaca, Lonquimay, Llaima, Sierra Nevada, Sollipulli, Villarrica, Quetrupillán, Lanín (La), and Mocho‐Choshuenco). Waveform data are open and available under network code 3H from the GEOFON data centre under license CC BY 4.0.
    Keywords: Broadband seismic waveforms ; Seismology ; temporary local seismic experiment ; LOFZ ; LOFS ; seismological data ; 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: ~650G
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  • 49
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The unrest of el Hierro Islands started in 2011 with a submarine volcanic eruption. In order to better characterize unrest of El Hierro Island 9 landstations were installed on the Island of ElHierro (Figure 1) between March 2015 and June 2016. Waveform data are available from the GEOFON data centre, under network code 2L and are embargoed until Jan 2021.
    Keywords: Broadband seismic waveforms ; Seismology ; temporary local seismic experiment ; ElHierro ; seismological data ; 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: ~240G
    Format: .mseed
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  • 50
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Cliffs line many erosional coastlines. Localized failures can cause land loss and hazard, and impact ecosystems and sediment routing. Links between cliff erosion and forcing mechanisms are poorly constrained, due to limitations of classic approaches. Combining multi-seasonal seismic and drone surveys, wave, precipitation and groundwater data we study drivers and triggers of seismically detected failures along the chalk cliffs on Germany's largest island, Rügen. The network consists of four (later five) seismic stations along the 8.6 km long chalk cliff coast. Waveform data are available from the GEOFON data centre, under network code 4K, and are embargoed until Jan 2021.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Germany ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~630G
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  • 51
    Publication Date: 2024-02-23
    Description: Abstract
    Description: A line of 6 broadband seismometers have been deployed across a ridge in the Hualien County (Eastern Taiwan). From March 2015 to June 2016 the network has been continuously recording waves incoming from the Taiwanese regional seismicity. During that period, more than 2000 earthquakes with magnitudes Ml〉3 and distant from less than 200km were recorded. The hill is well approximated by a triangular topography of 3600m in length by 900m in height. Waveform data are open and available from the GEOFON data centre, under network code 5K.
    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
    Type: Dataset , Seismic Network
    Format: ~240G
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  • 52
    Publication Date: 2024-02-23
    Description: Abstract
    Description: We propose to investigate the structure and evolution of the Main Pamir Thrust (MPT) with a high-density seismological array. The MPT, with its surface expression along the east-west trending Alai Valley, marks the northern boundary of the Pamir. The Alai Valley, separating the Pamir and the Tien Shan, constitutes the last vestige of a formerly continuous basin that linked the Tarim and the Tajik Basins. The MPT manifests itself as a place of high seismic activity with frequently occurred disastrous earthquakes. The array is about 50 km long, consisted of 90 three-component geophones (stations G?? and C??) and 10 Trillium-Compact seismometers (stations T??), and equipped with 100 CUBE dataloggers. We will construct a high-resolution receiver function profile to image the MPT and accurately locate the local earthquakes associated with the MPT. Funded by BMBF, within the framework of CaTeNA project – Climatic and Tectonic Natural Hazards in Central Asia. Waveform data are available from the GEOFON data centre, under network code 7A and are embargoed until Jan 2024.
    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
    Type: Dataset , Seismic Network
    Format: ~240G
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  • 53
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Extensive passive seismic monitoring was carried out between September 2017 and September 2018 over the Los Humeros geothermal field in Mexico. This experiment, in addition to several geophysical, geological, and geochemical surveys was conducted in the framework of the European H2020 and Mexican CONACyT-SENER project GEMex for a better understanding of the structures and behavior of the local geothermal system currently under exploitation, and for investigating future development areas. 25 broadband stations (22 Trillium C-120s and 3 Trillium C-20 PH) recording at 200 Hz, and 20 short period stations (Mark L-4C-3D) recording at 100 Hz comprised the network which is sub-divided into two sub-networks. An inner and denser (~1.6-2 km inter-station distance) pseudo-rhomboidal array (27 stations) was laid out to cover the producing zone and retrieve local seismicity mainly associated to injection and production operations, and to comply with beamforming of ambient noise and time reverse imaging techniques. An outer and sparser (~5 km minimum spacing) array was placed at around 30 km radius surrounding the inner network, and was mainly dedicated to larger scale imaging techniques, such as seismic ambient noise tomography, and regional earthquakes tomography. The GEMex project is supported by the European Union’s Horizon 2020 programme for Research and Innovation under grant agreement No 727550 and the Mexican Energy Sustainability Fund CONACYT-SENER, project 2015-04-68074. Waveform data are available from the GEOFON data centre, under network code 6G and are embargoed until Jan 2023.
    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
    Type: Dataset , Seismic Network
    Format: ~1T
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  • 54
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Earthquake Early Warning and Rapid Response Systems (EEWRRS) should be a viable complement to other disaster risk reduction strategies, particularly in economically developing countries. The „Early Warning and Impact Forecasting“ group (GFZ, section 2.6) is actively involved in the development of novel strategies to develop scientific and technological solutions that may be efficiently applied in countries with limited resources. The proposed solution includes a risk estimation module that extracts from a portfolio of precomputed impact scenarios those matching the characterization of the event detected by an optimized real-time monitoring network. The real-time network integrates both local, on-site components based on low-cost, smart sensor platforms, as well as regional, sparse strong-motion stations. This hybrid solution allows for the optimization of the lead-time and is tailored to the seismotectonic features of the considered region. A prototype EEWRR System is being developed for the Kyrgyz Republic, with the support of the partner CAIAG and in collaboration with the Ministry of Emergency Solutions of the Government of the Kyrygz Republic (MES). Waveform data are available from the GEOFON data centre, under network code AD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: 〉1T
    Format: .mseed
    Format: XML
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  • 55
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Building monitoring and decentralized, on-site Earthquake Early Warning system for the Kyrgyz capital Bishkek. Several low cost sensors equipped with MEMS accelerometers have been installed in eleven buildings within the urban area of the city. The different sensing units communicate with each other via wireless links and the seismic data are streamed in real-time to data centres at GFZ and the Central Asian Institute for Applied Geoscience (CAIAG) using internet. Since each sensing unit has its own computing capabilities, software for data processing can be installed to perform decentralised actions. In particular, each sensing unit can perform event detection tasks and run software for on-site early warning. If a description for the vulnerability of the building is uploaded to the sensing unit, this can be exploited to introduce the expected probability of damage in the early-warning protocol customized for a specific structure. Waveform data are available from the GEOFON data centre, under network code KD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: 〉1T
    Format: .mseed
    Format: XML
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  • 56
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The MI-DAM project will develop a robust, low-cost, and adaptable system that includes an early warning element and time-variable fragility functions. The system will continuously monitor the health of hydroelectric dams and the surrounding slopes, undertake on-site processing of recordings by multi-parameter sensors, and forward the most relevant information to response centers (e.g., civil protection). As an example, the project will focus on the Toktogul dam in Central Kyrgyzstan. Waveform data are available from the GEOFON data centre, under network code 1M, and is embargoed until Aug 2024.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: .mseed
    Format: XML
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  • 57
    Publication Date: 2024-02-23
    Description: Abstract
    Description: DESTRESS is a Horizon-2020 supported project (Topic: Demonstration of renewable electricity and heating/cooling technologies) that is concerned with creating EGS (enhanced geothermal systems) for the more economical, sustainable and environmentally responsible exploitation of underground heat. The international consortium, representing academic, geothermal sites and industry, will utilize the latest developments in the use of hydraulic, chemical and thermal treatments for enhancing the productivity of geothermal reservoirs, with considerable interaction with various interests groups and the thorough assessment of the associated risk, in particular that associated with induced seismicity. The GFZ workgroup "Early warning and Impact Forecasting" is involved in the exposure modelling, vulnerability analysis and building monitoring of communities near geothermal production facilities, making use of tools developed both in previous and ongoing projects. Waveform data are available from the GEOFON data centre, under network code 2D, and are embargoed until Aug 2024.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: .mseed
    Format: XML
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  • 58
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The Pamir-Hindu Kush region of Tajikistan and NE Afghanistan stands out due to its worldwide unique zone of intense intermediate depth seismicity, accommodating frequent Mw 7+ earthquakes with hypocenters reaching down to 250 km depth. With this network we aim to collect data allowing to characterize the active deformation within the Hindu Kush mountains and the Tajik-Afghan basin at the northwestern tip of the India-Asia collision zone. The network consists 15 sites (14 stations in Afghanistan, 1 station in Tajikistan), situated on top of the nest of intermediate depth seismicity and further west in the Afghan platform. The stations are equipped with short period Mark seismometers and Cube data recorders. Waveform data are available from the GEOFON data centre, under network code 4C, and are embargoed until 2023. After the end of embargo, data will be openly available under CC-BY 4.0 license according to GIPP-rules.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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  • 59
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    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 60
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    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 61
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    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 62
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 63
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 64
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 65
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 66
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 67
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 68
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 69
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 70
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 71
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 72
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 73
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 74
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 75
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 76
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 77
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 78
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 79
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 80
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 81
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 82
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 83
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 84
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 85
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 86
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 87
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 88
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 89
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 90
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 91
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 92
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 93
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 94
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 95
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 96
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 29 data points
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  • 97
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 98
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 99
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 100
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    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-01-23
    Keywords: Baseline Surface Radiation Network; Brewer Ozone Spectrophotometer, Sci-Tec; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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