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40 results for “Etna”
Frameshift variant in AMPD2 in Cirneco dell’ Etna with retinopathy and tremors
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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>
WRF-Chem Volcano output - Etna Christmas 2018 (run L2)
<p>Output from a model run of a modified version of WRF-Chem, which we refer to as WRF-Chem Volcano (WCV). At the time of submission of this dataset, these data were the basis of the modelling part of a paper in preparation, working title: "WRF-Chem modelling and TROPOMI observations of halogen chemistry within the plume of Etna's Christmas 2018 eruption".</p> <p>The code of WCV is maintained <a href="https://github.com/LukeSurl/WCV">here</a>. Development of this code will continue after the submission of this repository, <a href="https://github.com/LukeSurl/WCV/tree/20200521">This branch</a> is a permanent record of the code as used to create this dataset.<br> This is a simulation of the chemistry of the plume of the 2018 eruption of Mount Etna. This simulation includes bromine, chlorine and mercury chemistry. The time period covered is the 24-27 December, however please note that the author considers the first 24 hours of simulation to be "spin up", and that the modelled volcanic fluxes were assigned based on observations at midday on the 25th, and were not calibrated specifically for the 26th or 27th.</p> <p>"Run L2" refers the internal serial number assigned to this model run.</p> <p><strong>Overview of files</strong></p> <p><strong><em>Output files: wrfout_d0*_YYYY-MM-DD_HH:MM:SS</em></strong></p> <p>Output data is contained in NetCDF files. Each file contains hourly snapshots of the 3D simulation with fields for various parameters. Most of the 4D (three spatial dimensions and time) variables record modelled mixing ratios of various species (in units ppm). Many other variables are standard WRF-Chem output variables; please see <a href="https://ruc.noaa.gov/wrf/wrf-chem/">WRF-Chem's documentation</a>. If the meaning of a variable is unclear, please <a href="mailto:luke.surl@latmos.ipsl.fr?subject=WCV%20run%20L2%20dataset">contact the author</a>.</p> <p>Files are separated by model domain and by time. The "d0x" value specifies the model domain. Domain 1 is the full extent of the modelled area and has grid cells of 30 km × 30 km. Domains 2, 3, 4 each model a successively smaller area subset at a 3x greater resolution than their parent domain. Please see the ACPD paper for further details on this.<br> For operational reasons, the number of hours in different output files is slightly irregular:</p> <ul> <li>Files <em>wrfout_d0x_2018-12-24_00:00:00</em> contain 24 hourly snapshots from 2018-12-24_00:00:00 -- 2018-12-24_23:00:00</li> <li>Files <em>wrfout_d0x_2018-12-25_00:00:00</em> contain 24 hourly snapshots from 2018-12-25_00:00:00 -- 2018-12-25_23:00:00</li> <li>Files <em>wrfout_d0x_2018-12-26_00:00:00</em> contain 1 snapshot, 2018-12-26_00:00:00 only</li> <li>Files <em>wrfout_d0x_2018-12-26_01:00:00</em> contain 24 hourly snapshots from 2018-12-26_01:00:00 -- 2018-12-27_00:00:00</li> <li>Files <em>wrfout_d0x_2018-12-27_01:00:00</em> contain 24 hourly snapshots from 2018-12-27_01:00:00 -- 2018-12-28_00:00:00</li> </ul> <p><strong><em>Input files</em></strong></p> <p>This repository also contains various input files for the WRF-Chem simulation.</p> <ul> <li><em>wrfinput_d0x</em> (netcdf format) defines the initial conditions assigned for the beginning of the simulation (2018-12-24 00:00:00) for each of the model domains.</li> <li><em>wrfbdy_d01</em> (netcdf format) defines the boundary conditions for the simulation.</li> <li><em>wrfchemi_d0x_YYYY-MM-DD_HH:MM:SS</em> (netcdf format) defines, for each day and domain of the simulation, anthropogenic emissions.</li> <li><em>wrfchemv_d0x</em> (netcdf format) defines the volcanic emissions. A file is specified for each domain.</li> <li><em>namelist.input</em> (text file) defines various wrf-chem runtime options </li> </ul>
Testing paleomagnetic dating accuracy on pre-historic flank eruptions from SE slope of Etna volcano
<p>Paleomagnetic and petrographic data used for supporting the work of Magli et al. (Testing paleomagnetic dating accuracy on pre-historic flank eruptions from SE slope of Etna volcano):</p><ul><li>"AF_Demag.xlsx" = Alternating Field (AF) demagnetization data obtained at the Laboratory of Paleomagnetism (INGV of Rome) for each demagnetization step (20 up to 120 mT) for all samples.</li><li>"Bulk_susceptibility_&_Q.xlsx" = NRM (Natural Remanent Magnetization), k (susceptibility), J (induced magnetization intensity) and Q (Königsberger ratio, NRM/J) values obtained for each sample.</li><li>"ImageJ_analyses.xlsx" = abundance values (volume %) of vesicles and mineralogical phases obtained by ImageJ software (along with phenocrysts dimensions) for each random photo, for each sampling site and for each lava flow studied.</li><li>"Therm_curve.xlsx" = Susceptibility and temperature values obtained thorugh the MFK1 Kappabridge to provide thermomagnetic curves.</li></ul>
Gravity data from iGrav meters at Etna
<p>Data collected by the three iGrav superconducting gravimeters installed at Mt. Etna, during the 2014-2017 interval. </p>
Can volcanic trace elements facilitate Covid-19 diffusion? A hypothesis stemming from the Mount Etna area, Sicily
<p>In December 2019, severe cases of pneumonia of unknown aetiology were reported in Wuhan city, in China. Lately, the pneumonia was related to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), and the diseases was termed coronavirus disease-2019 (COVID-19). At the end of January 2020, the infection spread all over Italy, but with high infection rates and mortality in the northern part, especially in Lombardy, the most industrialized and polluted region of the country. It is noteworthy that a strong association between severe viral respiratory disease and air pollution has been described. Air pollutant could be solid particles, liquid droplets, or gases and can be of natural origin (such as ash from a volcanic eruption) or released from motor vehicle depletes (carbon monoxide gas) or factories (sulfur dioxide). Volcanic eruptions release large amounts of sulphuric acid, hydrogen sulfide, and hydrochloric acid into the atmosphere. Pulmunary diseases spreadby means of small droplets in thebreath, also called aerosols, and air pollution may facilitate the outside survival of viruses. We suppose that ash and gases emitted from the Mount Etna contributed to air pollution, potentially favouring the major contagion of COVID-19 in the eastern flank of the mountain, as in Catania city. In fact, ash and gases (with regard to radon) are usually particularly intense in winter, with a reduction of emission of specific metals with warmer weather. This is the first paper that elaborates the hypothesis of a potential role of volcanic gases and heavy metals-related air pollution, combined to specific climatic conditions and regional topography, in favouring severe COVID-19 diffusion in Sicily. Clinical and epidemiological studies are needed to support the hypothesis and plan the due prevention and awareness-raising campaigns.</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>
Data from: Recent ecological selection on regulatory divergence is shaping clinal variation in Senecio on Mount Etna
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Data from: Interspecific crossing and genetic mapping reveal intrinsic genomic incompatibility between two Senecio species that form a hybrid zone on Mount Etna, Sicily
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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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Satellite-based reconstruction of the volcanic deposits during the December 2015 Etna eruption
<p>TADR&Volume.txt—TADR and Volume curves; Pre-eruptive_DEM.tiff—Pre-eruptive DEM; Residuals_GCP&DEM.txt—Terrain Residuals between GCP and DEM; 3D_deposits.tiff—3D Mapping of volcanic deposits.</p>
Fig. 1 – a in Distribution and bioclimatic suitability of Duvalius hartigi, subterranean beetle from the lava caves of Mount Etna (Coleoptera: Carabidae, Trechinae)
Fig. 1 – a, The sampling site "Grotta dei Lamponi", a lava cave formed during the 1614/24 eruption at 1718 m a.s.l.. Photo: F. Fiorenza; b, Pitfall trap placed on the cave floor of "Grotta di Piano Porcaria". Photo: G. Nicolosi; c, Specimen of Duvalius hartigi on the cave floor of "Grotta del Burrò". Photo: M. Isaia.
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>
ETNA-MS Device Validation Study
ClinicalTrials.gov study NCT06256731. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bottiglia di vino Etna
Source: Objaverse 1.0 / Sketchfab
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>
WRF-Chem Volcano output - Etna Christmas 2018 (run L0)
<p>Output from a model run of a modified version of WRF-Chem, which we refer to as WRF-Chem Volcano (WCV). At the time of submission of this dataset, these data were the basis of the modelling part of a paper submitted to Atmospheric Chemistry and Physics Discussions (ACPD): "WRF-Chem modelling and TROPOMI observations of halogen chemistry within the plume of Etna's Christmas 2018 eruption".</p> <p>The code of WCV is maintained <a href="https://github.com/LukeSurl/WCV">here</a>. Development of this code will continue after the submission of this repository, <a href="https://github.com/LukeSurl/WCV/tree/20200521">This branch</a> is a permanent record of the code as used to create this dataset.<br> This is a simulation without any volcanic emissions, used to determine the difference caused by the volcano</p> <p>"Run L0" refers the internal serial number assigned to this model run.</p> <p><strong>Overview of files</strong></p> <p><strong><em>Output files: wrfout_d0*_YYYY-MM-DD_HH:MM:SS</em></strong></p> <p>Output data is contained in NetCDF files. Each file contains hourly snapshots of the 3D simulation with fields for various parameters. Most of the 4D (three spatial dimensions and time) variables record modelled mixing ratios of various species (in units ppm). Many other variables are standard WRF-Chem output variables; please see <a href="https://ruc.noaa.gov/wrf/wrf-chem/">WRF-Chem's documentation</a>. If the meaning of a variable is unclear, please <a href="mailto:luke.surl@latmos.ipsl.fr?subject=WCV%20run%20L2%20dataset">contact the author</a>.</p> <p>Files are separated by model domain and by time. The "d0x" value specifies the model domain. Domain 1 is the full extent of the modelled area and has grid cells of 30 km × 30 km. Domains 2, 3, 4 each model a successively smaller area subset at a 3x greater resolution than their parent domain. Please see the ACPD paper for further details on this.</p>
Etna feb 2022 collapses
<p>these are my puctures taken of the SEC crater collapse deposit of feb 2020</p>
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