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17 results for “Mt. Etna”
Infrasound array data recorded in July-August, 2019, at Mt. Etna (Italy) during the VOSSIA field experiment
<p>We present infrasound data recorded by two infrasound arrays installed at Mt. Etna (Italy) within the framework of the VOSSIA (Volcanic emissions analysis through Seismic and Infrasound Advanced monitoring) project. VOSSIA was supported by the Trans-National Access component of the EUROVOLC project (European Network of Observatories and Research Infrastructures for Volcanology, EU Horizon 2020 Research Infrastructure Project grant No 731070).</p> <p>This data repository includes continuous raw waveforms recorded by two 6-element, small-aperture, infrasound arrays during July-August, 2019. The arrays, ENEA and ENCR, were installed on Mt. Etna in proximity of the summit Nord East and South East craters, respectively. ENEA was equipped with Chaparral M60 sensors (<a href="http://chaparralphysics.com/specs/specs_model60UHP.pdf">http://chaparralphysics.com/specs/specs_model60UHP.pdf</a>), while IST2018 microphones (<a href="https://doi.org/10.1016/j.jvolgeores.2019.106668">https://doi.org/10.1016/j.jvolgeores.2019.106668</a>) were installed at ENCR. Data at both arrays were recorded with a sampling frequency of 100 Hz and 24-bit resolution using DiGOS Datacube<sup>3</sup> digitizers (<a href="https://digos.eu/seismology-and-cubes/">https://digos.eu/seismology-and-cubes</a>).</p> <p>Waveform data are provided as day-long files in MSEED format (<a href="https://ds.iris.edu/ds/nodes/dmc/data/formats/">https://ds.iris.edu/ds/nodes/dmc/data/formats/</a>).</p> <p>We also provide metadata including:</p> <p>1) Station coordinates (.csv file station_coords.csv);</p> <p>2) Instrument_response.rar: Instrument response information in different formats (individual RESP files, SEED DATALESS, xlm DATALESS)</p>
Seismic dataset. Mt. Etna, November, 2013.
<p>We present a seismic dataset recorded during November 2013 by a 3 components seismic station, called EBEM, belonging to the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo monitoring network. This dataset is part of a researcher paper <em>“A successful short-term volcanic eruption forecasting using seismic features”</em>. </p> <p>This data repository includes continuous raw waveforms (Z component) in SAC format, and related metadata. The seismic station EBEM was located at an elevation of about 2700 m a.s.l., at a distance of about 1500 m from the South-East Crater.</p> <p>The EBEM station was equipped with a Lennartz LE-3D/20s (T=20s) 3 components, with flat frequency response of 0.05 - 50 Hz (<a href="https://www.nanometrics.ca/products/seismometers">https://www.lennartz-electronic.de/wp-content/uploads/2021/04/Lennartz-SeismometerManual.pdf</a>).</p> <p>Data were sampled at 100 Hz using Nanometrics Trident digital data recorders (https://www.nanometrics.ca). Trident recorders have a resolution of 24 bit (at 100 Hz), and a GPS timing accuracy of <100 microseconds to UTC.</p> <p> </p> <p> </p> <p>Acknowledgment:</p> <p>This dataset is part of the paper <em>“A successful short-term volcanic eruption forecasting using seismic features”</em>, that was partially supported by the Spanish FEMALE project (PID2019-106260GB-I00). P. Rey-Devesa was funded by the Ministerio de Ciencia e Innovación del Gobierno de España (MCIN), Agencia Estatal de Investigación (AEI), Fondo Social Europeo (FSE), and Programa Estatal de Promoción del Talento y su Empleabilidad en I+D+I Ayudas para contratos predoctorales para la formación de doctores 2020 (PRE2020-092719). Ivan Koulakov was supported by the Russian Science Foundation (Grant No. 20-17-00075). Luciano Zuccarello was supported by the INGV Pianeta Dinamico 2021 Tema 8 SOME project (grant no. CUP D53J1900017001) funded by the Italian Ministry of University and Research “Fondo finalizzato al rilancio degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese, legge 145/2018”.</p>
Supplementary Datasets for the Paper "A new view of seismicity under Mt. Etna volcano, Italy, 2014-2023 from multi-scale high-precision earthquake relocations"
<p>Supplementary Datasets for the Paper <br><strong>Mapping finite-fault earthquake slip with spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax, Tiziana Tuvè, Elisabetta Giampiccolo, Ornella Cocina<br>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/xxxx</a></p> <p><strong>20240724A_Etna_Seismicity_2014-2023_INGV-OE_NLL-SC.csv</strong> is the catalog of NLL-SC relocations presented in the paper in CSV (.csv) format.</p> <p><strong>File_S1_catalog_config_run.zip</strong> includes the relocated NLL-SC catalog in CSV (.csv) and NLL-Hypocenter (.hyp) formats, along with pick data, configuration and other files used to run the NLL-SC relocations presented in the paper.</p>
Radon (222Rn) activity in air on the crater rim of Mt. Etna Central Crater (May-October 2018)
<p><em>The dataset in the file dataset_radon.xlsx compiles radon (<sup>222</sup>Rn) activity values measured in air on the rim of Mt. Etna Central Crater with passive dosimeters during summer 2018. Passive dosimeters were installed all around the crater and in four reference sites, at two different heights above the ground (5 cm and 1 m). Geographical coordinates of installation points are given in the file. Exposition periods given in the dataset started and ended as follows: May-Oct (24/05/18-11/10/18), May-Jul (24/05/18-06/07/18) and Jul-Oct (06/07/18-11/10/18). The uncertainty for each dosimeter is given with a confidence interval of 2-σ. Dosimeters are grouped according to the sector of the rim (Nort-West, North-East, South-East and South-West + reference sites). For group mean values, the uncertainty corresponds to the standard deviation of the mean (standard deviation of the population divided by the square root of the number of elements in the population). “lost” indicates a dosimeter that was lost during the exposition, “udl” refers to a dosimeter that was under detection limit, and “damaged” corresponds to a dosimeter that was corroded by acids and could not be analysed or that was clogged in soldered dust preventing radon from entering the capsule. Note that one station (namely, that closest to the Voragine vent) was excluded from the computation of the mean value of the NE sector. </em></p> <p><em>The dataset in the file SO2_flux.pdf contains the time series of the daily bulk SO<sub>2</sub> flux measured at Mount Etna during the period 01/04/18-30/10/18.</em></p>
Dataset of blow fly (Diptera: Calliphoridae) species observed along an elevational gradient on Mt. Etna, Sicily.
<p>This dataset contains count data for blow flies (Diptera: Calliphoridae) collected at four different elevations along an altitudinal gradient around Mt. Etna, in Sicily (Italy). Samples were collected to determine changes in blow fly community assembly as elevation changes.</p> <p>BlowflyAltitudeSicily_Data.csv is a file that contains the raw count data for species separated by both elevation and sex of the identified specimens.</p> <p>BlowflyAltitudeSicily_Methods.docx is a summarized version of the sampling method relevant to interpreting the data.</p> <p>BlowflyAltitudeSicily_Descriptive.txt is a file describing the column headers in "BlowflyAltitudeSicily_Data.csv".</p>
2002 and 2022 fault ruptures along the Timpe faults system (Mt. Etna)
<p>This dataset includes two shape files with ground ruptures observed on Mt. Etna in 2002 and 2022, in particular:</p> <ul> <li>the surface faulting, along the Santa Venerina, San Giovanni Bosco, Guzzi, and Scillichenti Faults accompanying the October 29 2002 earthquakes;</li> <li>the surface faulting along the creeping Scalo Pennisi (SCA) Fault observed on 29 October 2002 and 8 February 2022;</li> </ul> <p>Each shape file is associated with a database that contains information on: strike, length (m), heave (i.e., horizontal displacement in cm), throw (i.e., vertical displacement in cm), net slip displacement (cm), slip trend and plunge from certain piercing points.</p> <p>The dataset is associated with the paper: <em>"Aseismic creep and gravitational sliding on the lower eastern flank of Mt. Etna: insights from the 2002 and 2022 fault rupture events between Santa Venerina and Santa Tecla" </em>by G. Tringali, Bella, D., Livio F., Ferrario M. F., Groppelli G., Pettinato R., Michetti A. M.</p> <p> </p>
26 December 2018 surface ruptures along the eastern flank of Mt. Etna
<p>This dataset includes two shape files with ground breaks observed on Mt. Etna after the 26 December 2018 earthquake and aseismic creep event, in particular:</p> <ul> <li>the surface faulting, along the Fleri, Fiandaca, Aci Catena and Aci Platani faults;</li> <li>the ground breaks related to slope instabilities;</li> </ul> <p>The shape files have a database with informations on: strike, length (m), heave (i.e., horizontal displacement in cm), throw (i.e., vertical displacement in cm), strike-slip (cm), net slip displacement (cm), kinematics, slip trend and plunge from certain piercing points.</p> <p>The dataset is an updated and an upgrade of the one associated with the paper: <em>"Fault rupture and aseismic creep accompanying the December 26, 2018, Mw 4.9 Fleri earthquake (Mt. Etna, Italy): Factors affecting the surface faulting in a volcano-tectonic environment" </em>by G. Tringali, Bella, D., Livio F., Ferrario M. F., Groppelli G., Blumetti A.M., Di Manna P., Vittori T., Guerrieri L., Porfido S., Boso D., Pettinato R., Paradiso G., Michetti A.M. (<a href="https://doi.org/10.1016/j.quaint.2021.12.019">https://doi.org/10.1016/j.quaint.2021.12.019</a>).</p>
Dataset for: "Gas buffering of magma chamber contraction during persistent explosive activity at Mt. Etna volcano"
<p>Data used for generating the figures in the paper "Gas buffering of magma chamber contraction during persistent explosive activity at Mt. Etna volcano", accepted for publication in Nature Communications Earth & Environment.</p>
Rock magnetic fingerprint of Mt. Etna volcanic ash: the dataset
<p>This dataset refers to the article: "Rock magnetic fingerprint of Mt. Etna volcanic ash" by the same authors, published in Geophysical Journal International, https://doi.org/10.1093/gji/ggac213.</p> <p>A detailed rock magnetic study was conducted on ash samples collected from different products erupted during explosive activity of Mount Etna, Italy, in order to test the use of magnetic properties as discriminating factors among them, and their explosive character in particular.<br> Samples include tephra emplaced during the last 18 ka: the benmoreitic Plinian eruptions of the Pleistocene Ellittico activity from marine core ET97-70 (Ionian Sea) and the basaltic Holocene FG eruption (122 BC), the Strombolian/Phreatomagmatic/sub-Plinian eruptions (namely, the Holocene TV, FS, FL, ETP products, and the 1990, 1998 eruptions) collected from the slope of the volcano, and the Recent explosive activity (lava fountains referred to as “Ash Rich Jets and Plumes”, or ARJP) that occurred in the 2001-2002 period, related to flank eruptions.<br> A full set of rock magnetic experiments were carried out to determine the magnetic mineralogy and the magnetic grain size at the Institute for Rock Magnetism at the University of Minnesota, including First-Order Reversal Curves (FORCs), hysteresis loops and backfield DC demagnetization remanence curves (DCD or Backfield curves) at room temperature on Princeton Measurements Corporation (Princeton, NJ) Vibrating Sample Magnetometers (VSMs).<br> Low temperature (LT) experiments were conducted on Quantum Design (San Diego, CA) Magnetic Properties Measurement Systems (MPMS-XL and 5S). LT experiments were carried out by measuring the magnetic remanence on warming from 10 K to room temperature (300 K) after cooling in a 2.5 T field (field cooled remanence, FC), as well as after cooling in zero field and applying a saturation isothermal remanent magnetization (SIRM) of 2.5 T at 10 K (zero-field cooled remanence, ZFC). A room temperature (RT) 2.5 T SIRM was also applied at 300 K and the remanence was measured upon temperature cycling to 10 K and back (RTSIRM). AC susceptibility as a function of temperature and frequency (1, 10, 100 Hz or 1, 5, 32, 178, 1000 Hz) was also measured for selected specimens from the three groups of samples.<br> Room temperature susceptibility measurements as a function of field amplitude (10, 20, 40, 80, 120, 200, 400 A/m) were carried out on the Late Pleistocene samples using a Magnon susceptibility system. Saturation magnetization on warming between room temperature and 700°C (Ms-T) was measured on selected specimens using a horizontal Curie balance with Argon gas circulation to limit oxidation processes during heating. Likewise, magnetic susceptibility on warming between room temperature and 700°C (<em>X</em>-T) was measured on a Kappabridge KLY-2 (Brno, Czech Republic) using fields of 300 A/m and 920 Hz. Ms-T and <em>X</em>-T curves are collectively referred to as thermomagnetic curves.</p>
Supporting Information for "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Sets S1-S7.
<p>This compressed folder contains supporting information related to the manuscript: "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)".</p> <p>Data Set S1. Catalog of flank eruptions<br> Historical catalog of flank eruptions of Mt. Etna from 1600 to 2018.</p> <p>Data Set S2. Catalog of major earthquakes<br> Macroseismic catalog of Etnean earthquakes from 1800 to 2018.</p> <p>Data Set S3. GIS dataset of Eruptive fissures<br> GIS shapefiles of eruptive fissures at Mt. Etna from 1800 to 2018. UTM WGS84, Zone 33 N.</p> <p>Data Set S4. Tests with ±2 months maximum inter-event time <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±2 months. Pie charts of the positive values (dark colors), negative values in [-2.5, 0] days (light colors), and lower than -2.5 days (white) are reported.</p> <p>Data Set S5. Tests with dt = 5 days moving window <br> Conditional rates of major earthquakes less than ±4 months from flank eruptions, obtained assuming dt = 5 days instead of dt = 10 days. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value.</p> <p>Data Set S6. Tests on the eruptions end, including earthquakes in ±2.5 days from the onset<br> Conditional rates of major earthquakes less than ±4 months from flank eruptions end, obtained without excluding the earthquakes occurred in ±2.5 days from the onset. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value.</p> <p>Data Set S7. Summary of inter-event time histograms <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±4 months, also decomposed according to spatial groups E1-E4 and fault systems F1-F4. Light-colored bars highlight the eruptions > 2850 m.a.s.l.</p>
Deformation and gravity data of the eruption on 24th December at Mt. Etna (Italy)
<p>The uploaded file contains the deformation and gravity data recorded at INGV - Catania network during the 24th December-2018 eruption of Mt. Etna (Italy). This data is for a manuscript submitted for the peer review.</p>
Geochemical data for: Intense overpressurization at basaltic open-conduit volcanoes as inferred by geochemical signals: The case of the Mt. Etna December 2018 eruption
<p>The reported dataset is annexed to the article "Intense overpressurization at basaltic open-conduit volcanoes as inferred by geochemical signals: the case of the Mt Etna December 2018 eruption". It consists of five types of parameters: soil CO<sub>2</sub> flux from Mt Etna flanks, CO<sub>2</sub>/SO<sub>2</sub> molar ratio of the volcano plume, SO<sub>2</sub> and HCl fluxes by volcano plume, and He isotope ratio in some peripheral gas emissions, all of them recorded in the period 2017–2019. The data come from continuous monitoring networks installed on Mt Etna and from discrete samplings carried out at specific sites, all the monitoring facilities being supported by the INGV-Civil Defence joint surveillance program.</p>
GeaVR-tailored Immersive Virtual Scenario for the 1809 CE volcanic system, Mt Etna, Italy
<p>The dataset regards a virtual scenario designed to work with GeaVR software (https://geavr.eu/).</p><p><i><strong>Area of interest:</strong></i> N20°E-aligned craters related to the historical eruption occurred in 1809 CE along the NE rift of Mt Etna.</p><p><i><strong>Aerial extent:</strong></i> 250 x 150 m.</p><p><i><strong>Texture resolution:</strong></i> 0.6 cm/pixel. </p><p><i>Type of scenario:</i> derived from photogrammetry-processing – field-camera collected pictures.</p>
Geochemical data for: Intense overpressurization at basaltic open-conduit volcanoes as inferred by geochemical signals: The case of the Mt. Etna December 2018 eruption
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Seismo-acoustic data. Mt. Etna,16 July-24 August, 2021
<p>We present a seismo-acoustic dataset recorded by a 7-element, small-aperture array, called ACPN, and an infrasound station, called CONC, deployed at Mt. Etna (Italy) during July-August, 2021. This dataset was collected during a field experiment within the framework of NERC project NE/W004771/1 and SINFONIA project, progetto Bando Ricerca Libera 2021- Delibera 214/2021-INGV.</p> <p>The experiment was designed to complement the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo monitoring network, and to provide unprecedented instrument coverage on the summit area of Etna. The main goal was to offer the best possible data to characterize pre- and syn-eruptive seismic tremor associated with the occurrence of surface degassing, fire fountains and atmospheric injection of volcanic ash during paroxysmal activity</p> <p>This data repository includes continuous raw waveforms and related metadata. The array, ACPN, was installed on Mt. Etna in proximity of the summit Bocca Nuova crater, at a distance of about 1 km from its active vents. The ACPN array consists of five broadband, and two short-period seismic sensors. ACPN was equipped with five Nanometrics Nanometrics Trillium T120 Compact seismometers (T=120s) 3 components, and two Lennartz 3D Lite-MkIII seismometers (T=1s), with flat frequency response of 0.008 - 100 Hz and 1 - 100 Hz, respectively (https://www.nanometrics.ca/products/seismometers; https://www.lennartz-electronic.de/products/seismometers/le-3dlite/). The seismic array had a maximum aperture of 200 m, and both the location and geometry were chosen considering three main criteria: i) site accessibility and safety of personnel; ii) minimising differences in elevation between sensors within each array; iii) optimizing the detection and discrimination of activity from all summit craters.</p> <p>The infrasonic station CONC was located at an elevation of about 1800 m a.s.l., at a distance of about 5000 m from the craters. The CONC station was equipped with IST-2018 broadband microphones, frequency response between 60 mHz and 40 Hz, developed by The ISTerre, Université Savoie Mont Blanc, France (Grangeon and Lesage, 2019).</p> <p>Data were sampled at 100 Hz using DIGOS DATACUBE3 digital data recorders (https://digos.eu/CUBE/DATA-CUBE-Datasheet-2017-02.pdf). DATACUBE recorders have an effective resolution of 22.4 bit (at 100 Hz), and a GPS timing accuracy of 1 μs.</p> <p>The equipment was made available within the framework of an established collaboration between the Instituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, University of Liverpool (UK)) and the Dublin Institute for Advanced Studies (Ireland).</p>
Dataset for: "Assessment of eruption source parameters using infrasound: a case study from the 2021 eruption of Mt. Etna, Italy"
<p>This dataset includes infrasound array waveforms recorded during eruptive activity at Mt. Etna, Italy, on June 20-21, 2021.</p> <p>During volcanic eruptions, the injection of volcanic ash into the atmosphere poses a well-known danger to aviation. To predict the dispersal of airborne ash and identify high-risk areas, scientists rely on observations from volcanology, as well as empirical and numerical models. These models heavily depend on what are known as eruption source parameters, which include the rate of pyroclastic material ejected from volcanic vents and the maximum altitude achieved by eruption plumes. In recent times, infrasound has gained popularity as a valuable tool for monitoring volcanoes, and researchers are continuously exploring its potential for real-time assessment of eruption source parameters. The dataset provided here was used to showcase the potential of infrasound data for near-real-time evaluation of eruption rates. Our analysis of the infrasound array data allowed us to identify coherent arrivals during the eruptive activity. By integrating these signals, we estimated the volume flow rate and flow velocity at the vent. The flow velocity values we obtained at the vent during peak paroxysmal activity were found to be between 50 and 125 meters per second, which aligned with independent estimates derived from other ground-based remote sensing data. Finally, using the flow velocities derived from infrasound we performed numerical modelling of ash plume rise to estimate the maximum height achieved by the eruption column.</p>
Manipulator Motion Planning Dataset from the Mt. Etna Moon Analogue Environment
<p>Manipulator motion planning is an important technology for planetary exploration, as it enables crucial manipulation tasks in challenging environments. Testing motion planning in real situations, as opposed to relying solely on simulations, is crucial to account for unforeseen challenges, validate algorithm effectiveness in handling physical dynamics, and evaluate practical constraints and limitations for reliable and effective deployment. Nevertheless, simulations of motion planning are valuable as they provide a controlled and cost-effective environment to develop algorithms before deploying them in real-world situations. A dataset from real situations is particularly valuable for simulation as it provides accurate and diverse real-world data, enabling more realistic modeling and testing of motion planning algorithms. We supply a dataset to develop, optimize and validate manipulator motion planning algorithms. The data has been recorded in the field, during our moon-analogue demonstration mission ARCHES on Mt. Etna, Sicily. Each entry contains all information necessary to reproduce the particular motion planning query: Kinematic structure of the robot and environment, start configuration of the joints, and the goal specification of the operation. Overall we publish the log data of over 200 planning queries from different operations: fetching payload from the lander, deploying instruments, and extracting samples in the field.</p>
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