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This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, within the CTBT-relevant infrasound range (around 0.01-4 Hz), this dataset covers higher frequencies (1-3 Hz) and is therefore called the ‘hf’ product. The temporal resolution (time step and window length) is 5 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022
This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset, called the ‘maw’ product, covers a very low frequency range of infrasound (0.02-0.07 Hz). The temporal resolution (time step and window length) is 30 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022.
This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers the dominant frequency range of microbaroms (0.15-0.35 Hz) and is therefore called the ‘mb_lf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022
This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers, among other phenomena, the upper frequency range of microbaroms (0.45-0.65 Hz) and is therefore called the ‘mb_hf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022
Seismological experiment at Strokkur from 2020" is a seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Gylfi P. Hersir formerly at 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 12m in diameter with a central tube of more than 20m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from March 2020 using three broadband seismic stations (Nanometrics Trillium Compact 120s). Sensors were buried at distances of 38.8m (GE4, SE), 47.3m (GE3, SW), and 42.5m (GE2, N) from Strokkur center. Within this time period about 1 month of data is missing due to power outages. At any other times at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, currently a catalogue of 506,131 water fountains was determined and further investigated in Eibl et al. (2025). In addition, Eibl et al. (2025) assessed the effect of the weather on the system including the bubble trap suspected at around 24 m depth by Eibl et al. (2021). Waveform data are available from the GEOFON data centre, under network code 2Z.
This dataset provides geochemical data from from the Quaternary Chachimbiro Volcanic Complex (CVC), situated in the Western Cordillera of Ecuador, Northern Andes (0.468°N, 78.287°W). The CVC is subdivided into 4 eruptive stages (CH1, CH2, CH3, CH4) ranging in age between ~400 and ~4 ka ago (Bellver-Baca et al., 2020). The CH1 stage consists of andesitic flows erupted between 405.7 ± 20.0 and 298.6 ± 32.9 ka with collapse of the pre-existing cone at the end of the effusive period (File #1). The following CH2 stage (121.75 ± 23.2 -36.08 ± 2.8 ka) consists of andesitic to dacitic domes and pyroclastic rocks which also suffered a collapse event as shown by the scar and the uprooted domes in the hillside of the edifice (File #1). The CH3 unit (36.08 ± 0.28 – 22.73 ± 0.12 ka) consists of two main andesitic to dacitic domes (Hugá and Albují: H and A, respectively, in File #1) and effusive rocks. CH4 consists of a volumetrically small rhyodacitic pyroclastic unit which was produced by a lateral blast dated at 5.5-5.8 ky ago. A younger pyroclastic episode (<4.15 ka ago) has been related to the Pucará dome (Comida, 2012), but rocks of this event have not been investigated in the present study. The bulk rock and mineral data are used to reconstruct the plumbing system beneath the CVC during its ~400 ka long lifetime. Since the temporal geochemical evolution of CVC bulk rocks towards higher values of adakite-like indices (e.g., Sr/Y, La/Yb) bears strong similarities to that of magmatic systems associated with supergiant porphyry copper deposits, these data may serve to better understand how adakite-like signatures are acquired in fertile arc magmatic systems with metallogenic implications. Files included are: • 2024-018_Chiaradia-et-al_Table-1_Sample-overview: sample overview table with coordinates of and type of analyses carried out on each sample (Table #1) • 2024-018_Chiaradia-et-al_File_1_map: a geological map with location of investigated samples (File #1) • 2024-018_Chiaradia-et-al_File_2_WholeRocks: geochemical and radiogenic isotope data on bulk rocks (File #2). • 2024-018_Chiaradia-et-al_File_3_Pyroxene: contains microprobe and LA-ICP-MS major and trace element analyses of clino- and orthopyroxenes from the CVC and P-T conditions retrieved from clinopyroxene compositions (File #3) • 2024-018_Chiaradia-et-al_File_4_Amphibole: contains microprobe and LA-ICP-MS major and trace element analyses of amphiboles from the CVC and P-T-H2Omelt, fO2 conditions retrieved from amphibole compositions (File #4). • 2024-018_Chiaradia-et-al_File_5_Plagioclase: contains microprobe and LA-ICP-MS major and trace element analyses of plagioclases from the CVC (File #5). • 2024-018_Chiaradia-et-al_File_6_Equilibrium tests: reports the calculations to retrieve pressure and temperature data from clinopyroxene-melt equilibrium and clinopyroxene-only composition (File #6). • 2024-018_Chiaradia-et-al_File_7_CPX_Thermo_Barometry: reports the calculations to obtain P-T conditions from clinopyroxene-orthopyroxene equilibria in the same thin section (File #7). • 2024-018_Chiaradia-et-al_File_8_Cpx_Opx_Thermo_Barometry: reports the equilibrium tests between minerals (clinopyroxene, orthopyroxene, amphibole) and host rock compositions and the P-T values retrieved by clinopyroxene and amphibole analyses that passed the test (File #8). Associated RStudio Scripts are available as https://doi.org/10.5880/fidgeo.2025.010 (Chiarada, 2025).
In this dataset we provide data for 6 experimental models of caldera collapse and subsequent resurgence monitored through geophysical sensors (a force or “impact sensor”, Piezotronics PCB 104 200B02 and a Triaxial piezoelectric accelerometer, Model 356B18). The analogue modelling experiments were carried out at the TOOLab (Tectonic Modelling Laboratory), which is a joint laboratory between the Istituto di Geoscienze e Georisorse of the Consiglio Nazionale delle Ricerche, Italy and the Department of Earth Sciences of the University of Florence. The laboratory work that produced these data was partly supported by the European Plate Observing System (EPOS), by the Joint Research Unit (JRU) EPOS Italia and by the “Monitoring Earth's Evolution and Tectonics” (MEET) project (NextGenerationEU). Specifically, this work was performed in the frame of the DynamiCal project, funded by the 2° TNA-NOA call of the ILGE-MEET project.
During this research at the 40Ar-39Ar Geochronology Laboratory, CNR, Pisa, Italy, the analysis focused on 40Ar- 39Ar radiometric dating to investigate three distinct periods of volcanism from the Kula Volcanic Province in western Türkiye. This area is a monogenetic volcanic field (MVF) and exhibits three eruptive periods in the Quaternary Period. The three periods of volcanism are named the Burgaz (first stage), the Elikcitepe (second stage), and the DivilitTepe (third stage). This type of volcanism is poorly understood due to their small eruption size and limited material, lack of suitable datable material, and short eruption duration, with geological histories often poorly constrained. The data publication includes data of four samples from the three different eruptive phases that were analysed, including one from the first stage, one from the second stage, and two from the third stage. The samples were successfully dated and gave ages as the Early Pleistocene (first stage), the Middle Pleistocene (second stage) and the Holocene (third stage). The data from this work will be used as part of a PhD thesis. The ages will be integrated into a more detailed geochemical analysis and facilitate a detailed examination of the temporal and spatial relationships for the evolution of the volcano, and insights into the mechanisms driving volcanic activity in the region. Data was acquired by an ARGUS VI multi-collector noble gas mass spectrometer, using the step-heating process for all samples. Between 9.9 and 11.1 mg of groundmass material was analysed.
Temporary stations of the Goethe University Frankfurt as contribution to the virtual network _EIFELLNX. Waveform data is available from the GEOFON data centre, under network code 6X.
Our group aims to identify evidence of undetected magmatic activity through the identification of microseismic events. We focus on the western Saronic Gulf region within the Aegean Sea. Since 2019, the National Observatory of Athens and the University of Patras have operated six seismic stations on Methana and the nearby Peloponnese mainland.In March 2024, our group deployed an additional 15 remote recording stations from the Geophysical Instrument Pool of GFZ Potsdam across Methana, Aegina, Agistri islands, and the mainland Peloponnese. We use MARK L-4C-3D seismometers in combination with DATA-CUBE3 data loggers equipped with external batteries. This project is part of the MULTI-MAREX initiative funded by the German Federal Ministry of Education and Research (BMBF). Waveform data is available from the GEOFON data centre, under network code 1A.
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