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496 results for “Volcanism”
Lunar eclipses illuminate timing and climate impact of medieval volcanism
<p>This repository contains all the data and codes needed to reproduce the results and figures from the article "Lunar Eclipses Illuminate Timing and Climate Impacts of the Middle Ages" published in Nature.<br> <br> For more information, we refer the user to the readme file entitled "Guillet_et_al_Nature2023_Readme.txt".<br> <br> If you have any queries, please feel free to contact us: sebastien.guillet@unige.ch<br> <br> Thank you very much ;-)</p>
Earthquake catalogs for: A specific earthquake processing workflow for studying long-lived explosive volcanic eruptions with application to the 2008 Okmok eruption
<p>Repository for the seismic catalogs from Garza-Giron et al. (2023a,b). These include the catalog with absolute locations using NonLinLoc (Lomax et al., 2001; Lomax and Curtis, 2001), and the relocated catalogs using hypoDD (Waldhauser and Ellsworth, 2000) and GrowClust (Trugman and Shearer, 2017).</p> <p>The header of the CSV files is as follows:</p> <p><strong>Date</strong> (year/month/day), <strong>Time</strong> (hr:min:sec:msec), <strong>Latitude</strong> (decimal degrees), <strong>Longitude</strong> (decimal degrees), <strong>Depth</strong> (km), <strong>Magnitude</strong> (Ml calculated for this study), <strong>Event_type</strong> (VT:vulcano-tectonic;LP:long-period), <strong>Number of stations</strong> where the event was detected, <strong>ID</strong></p> <p>References:</p> <div>Garza‐Giron, R., Brodsky, E. E., Spica, Z. J., Haney, M. M., & Webley, P. W. (2023a). A specific earthquake processing workflow for studying long‐lived, explosive volcanic eruptions with application to the 2008 Okmok Volcano, Alaska, eruption. <em>Journal of Geophysical Research: Solid Earth</em>, e2022JB025882.</div> <div> </div> <div> <div>Garza‐Girón, R., Brodsky, E. E., Spica, Z. J., Haney, M. M., & Webley, P. W. (2023b). Earthquakes record cycles of opening and closing in the enhanced seismic catalog of the 2008 Okmok Volcano, Alaska, eruption. <em>Journal of Geophysical Research: Solid Earth</em>, <em>128</em>(7), e2023JB026893.</div> <div> </div> </div> <p>Lomax A, Curtis A (2001) Fast, probabilistic earthquake location in 3-D models using oct-tree importance sampling. Geophys Res Abstracts, 3:955.</p> <p>Lomax, A., Zollo, A., Capuano, P., and Virieux, J. (2001). Precise, absolute earthquake location under Somma‐Vesuvius volcano using a new 3D velocity model.Geophysical Journal International,146, 313–331.</p> <p>Trugman, D. T., and Shearer, P. M. (2017). GrowClust: A hierarchical clustering algorithm for relative earthquake relocation, with application to the Spanish Springs and Sheldon, Nevada, earthquake sequences. Seismological Research Letters, 88(2A), 379-391.</p> <p>Waldhauser, F., and Ellsworth, W. L. (2000). A double-difference earthquake location algorithm: Method and application to the northern Hayward fault, California. Bulletin of the Seismological Society of America, 90(6), 1353-1368.</p>
Data and Code for : Transport and environmental impact of ash induced by the Hunga Tonga- Hunga Ha'apai volcanic eruption
<p>The dataset describes the atmospheric information and oceanic responses to the eruption of Hunga Tonga-Hunga Ha'apai (HTHH) Volcano. Satellite observations captured the direct impact of volcanic ash on modifying the landscape, including the transport and profile of aerosol content captured respectively by Suomi and CALIPSO, chlorophyll from the reanalyzed satellite products. </p>
Forecasting and Tracking Volcanic Explosions using Shannon Entropy at Volcán de Colima
<pre><strong>Forecasting and Tracking Volcanic Explosions using Shannon Entropy at Volcán de Colima</strong>. by: Pablo Rey-Devesa (1,2),*, Janire Prudencio (1,2), Carmen Benítez (3), Mauricio Bretón (4), Imelda Plasencia (4), Zoraida León (4), Félix Ortigosa (4), Ligdamis Gutiérrez (1,2), Raúl Arámbula (4) and Jesús M. Ibáñez (1,2). <strong>Institutions associated</strong>: (1) Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain. (2) Andalusian Institute of Geophysiscs. Campus de Cartuja. University of Granada. C/Profesor Clavera 12. 18071. Granada. Spain. (3) Department of Signal Theory, Telematics and Communication. University of Granada. Informatics and Telecommunication School. 18071. Granada. Spain. (4) Centro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de Colima, Colima, México <strong>Acknowledgment</strong>: a) This study was partially supported by the Spanish FEMALE (PID2019-106260GB-I00) and PROOF-FOREVER (EUR2022.134044) projects. 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). b) To the Visual Monitoring and Seismicity Monitoring projects, both from the Center for Volcanological Studies of the Colima University. <strong>Data availability statemen</strong>t: Seismic data from Volcán de Fuego de Colima. <strong>Contents</strong>: Seismic Data from Volcán de Fuego de Colima recorded at stations INCA and SOMA. The data represent the vertical component of the seismic signal, associated to the period analyzed in the study: "<em>Forecasting and Tracking Volcanic Explosions using Shannon Entropy at Volcán de Colima</em>" Data available between January 2015 and May 2017.</pre>
The MeSS data used in "A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains"
<p>This document contains the dataset used in the work « A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains ». In this study the authors use NASA/MESSENGER/MASCS/VIRS DDR data available at the PDS GeosciencesNode of Washington University, St. Louis, MO, USA. The dataset used contains the latest calibration provided by the MESSENGER science team. (<a href="https://ode.rsl.wustl.edu/mercury/pagehelp/Content/Missions_Instruments/MESSENGER/MASCS/VIRS/Intro.htm">https://ode.rsl.wustl.edu/mercury/pagehelp/Content/Missions_Instruments/MESSENGER/MASCS/VIRS/Intro.htm</a>).</p> <p>The present document contains VIRS DDR reflectance spectra from PDS corrected by the methodology developed by Besse et al., 2015 (<a href="https://doi.org/10.1002/2015JE004819">https://doi.org/10.1002/2015JE004819</a>). Moreover, the document contains the ref_id, the latitude [deg] and longitude [deg] of every footprints used in « A spectral study of the Caloris basin on Mercury and the origin of associated volcanic smooth plains » . All spectral parameters can be calculated directly with these spectra.</p>
Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022
<p>This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which include lightning flashes from combined ground-based networks from 13–15 January 2022; (2) Ground-based rates, which include flash rates and pulse rates in one-minute bins from 13–15 January 2022 using the combined networks; (3) Optical GLM flashes & rates, which include GLM flashes and per-minute rates from 15 January 2022; and (4) Volcanic plume dimensions, which include maximum plume heights and umbrella radii through time on 15 January 2022. The second file is a Google Earth KMZ file of umbrella cloud areas outlined from stereoscopic cloud height retrievals from 04:17–07:07 UTC on 15 January 2022. Refer to journal article "Lightning rings and gravity waves: Insights into the giant eruption plume from Tonga’s Hunga Volcano on 15 January 2022" published in Geophysical Research Letters for further details about data processing. </p>
Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes
<p>The enclosed dataset contains all of the raw data supporting the results presented in the paper titled: <strong>"Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes". </strong></p> <p>The Excel data file contains four data sheets as follows: </p> <p>1. Table S1: This sheet contains the U-Pb output table from ETRedux. The data sheet contains all the U and Pb isotopic data generated for the current study.</p> <p>2. Table S2: This excel sheet contains the geochemical compositions of analyzed volcanic ash beds as well as LOI-normalized major element compositions of these ashes.</p> <p>3. Table S3: This excel sheet contains the other geochemical and isotope data for all analyzed samples. This includes Hg concentration and isotope compositions, TOC data, as well as major and trace element concentrations and ratios.</p> <p>4. a final table containing the analyzed Hg isotope compositions for the utilized standard reference materials - ETH Fluka, UM-Almaden, NIST 1632D and MESS-3.</p>
Supplementary data for "Evolution of magmas during late-stage rhyolitic magmatism in the Altiplano-Puna Volcanic Complex as inferred by melt inclusion geochemistry at Cerro La Torta lava dome"
<p>This repository contains the supplementary data for the publication submitted to the Journal of Volcanology and Geothermal Research entitled "Evolution of magmas during late-stage rhyolitic magmatism in the Altiplano-Puna Volcanic Complex as inferred by melt inclusion geochemistry at Cerro La Torta lava dome".</p> <p>The excel file contains the complete dataset with major, minor and trace elements composition from melt inclusions, their host minerals (plagioclase and amphibole), accessory minerals (Fe-Ti oxides, apatites, pyroxene and zircon) and groundmass glass from Cerro La Torta lava dome.</p> <p>Instructions about how to read the dataset are included in the first sheet of the Excel file.</p>
Seafloor and volcanic seismic horizons from NZ3D
<p>This file (horizons.csv) contains picked seismic horizons for the seafloor and top of volcanic basement in the NZ3D volume within 15 km of the deformation front. The columns are formatted as crossline, inline, seafloor depth (m), top of volcanic basement (m).</p> <p>Raw and processed NZ3D seismic data can be downloaded here: https://www.marine-geo.org/tools/entry/MGL1801.</p>
Supplementary data and scripts for "New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA dataset"
<p>Supplementary tables and MATLAB scripts associated with the manuscript "New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA dataset".</p>
Raw data of Decoding the state of stress and fluid pathways along the Andean Southern Volcanic Zone
<p>Raw data of the manuscript. </p> <p>Focal mechanisms and fault slip data of each volcano are attached to this supplementary material, in text files ending with “.fdt”, which can be found in the “Raw Data” folder. The fault slip data, on these text files, are write as strike/dip of the fault plane; trend/plunge of the rake, and the sense of displacement (N=normal R=Reverse), following the MIM-software input format. Note that by defining the displacement as normal o reverse, we are defining that the hanging wall block is going up or down, but it does not mean that the fault kinematics is restricted to normal or reverse. The fault kinematics can be dextral or sinistral strike-slip kinematics depending on the angle between the horizon and the rake projected in the fault plane. In the case of focal mechanisms, one focal mechanism is characterized by two rows of data that represent both focal plane solutions, following the MIM-software format. These “.fdt” files are ready to be analyzed in the MIM software that is freely available on the internet (at <a href="http://bs.kueps.kyoto-u.ac.jp/tsg/software/mim/">http://bs.kueps.kyoto-u.ac.jp/tsg/software/mim/</a>,visited august 2022).</p> <p>Complementarily, an explanation of data, its reference, spatial correlation with the volcano, and methodological details are explained in the excel table “Details_of_Database.xlsx”. Moreover, locations of the fault slip data and epicenter of focal mechanisms can be found in the attached folder “location of data” as Google Earth files (.kmz).</p>
Data for Simulating the Volcanic Sulfate Aerosols from the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole
<p>Dataset of GEOS output supporting the publication "Simulating the Volcanic Sulfate Aerosols fro the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole".</p>
The Mesozoic terrane boundary beneath the Taupo Volcanic Zone, New Zealand, and potential controls on geothermal system characteristics
<p>Full U-Pb detrital zircon age data collected on SHRIMP-RG at Australia National University and LA-ICP-MS at Otago University for manuscript 'The Mesozoic terrane boundary beneath the Taupo Volcanic Zone, New Zealand, and potential controls on geothermal system characteristics'.</p>
Melt Focusing Along Permeability Barriers at Subduction Zones and the Location of Volcanic Arcs: Numerical models
<p>The dataset includes 2-D subduction zone models calculated by Comsol Mutiphysics®, slab geometry, subduction parameters, and the prediction results.</p> <p>Each numerical model solves the thermal structure of 31 subduction zones. The 2-D slab geometry of each subduction zone is obtained from the compilations of global subduction geometries based on earthquake catalogs Slab 1.0 and Slab2 (Hayes et al., 2012; 2018). Each slab geometry is imported in the corresponding Comsol model as a text file format. Below the point where the slab depth data is unavailable, the slab interface is simply defined as a straight line with the same dip to the bottom of the computation domain. The subduction parameters used in the models are available in Table 1.</p> <p>Using the calculated thermal structure at 30 Ma, we approximate the locations of the arc as the apices of 5 isotherms at 100°C interval within 800°C – 1200°C. The predicted arc locations from each isotherm are reported in Table 2 as the horizontal distance from the trench. The actual arc location in each model is defined as the point on the surface where the slab interface reaches the subarc slab depth <em>H</em> in Table 1 and reported as the horizontal distance from the trench in Table 2. The slab water loss depth and rate obtained from van Keken et al. (2011) are presented in Table 2. In case of the maximum temperature above the water loss depth is higher than the experimentally-derived melting condition, 800°C, we report the horizontal distance from the trench. The width of the horizontal distance of slab water loss depth is assumed as the expected melting region. </p>
Dataset: Radio Frequency Characteristics of Volcanic Lightning
<p>This data set contains broadband VHF waveforms of vent discharges and volcanic lightning<br> flashes collected during an explosive eruption of Sakurajima volcano in Japan on November 8,<br> 2019. Each file in the dataset is a 3 microsecond waveform. The amplitude values of the<br> waveform are in arbitrary voltage units. The sampling rate is 180 MS/s. There are two tar<br> archive files included in this data set: one for all of the vent discharge waveforms and one for all<br> of the flash waveforms. The UTC time of the waveform, corresponding to the time of the peak<br> of the waveform is included in each file name in the tar archives. The UTC time is given as<br> seconds of the day on November 8, 2020.</p>
Large variations of Calcium isotopes in Lutao arc volcanic rocks: Influence of recycled marine carbonate and partial melting
<p>The dataset for the manuscript in preparation: Large variations of Calcium isotopes in Lutao arc volcanic rocks: Influence of recycled marine carbonate and partial melting</p>
Simulated distribution of the fluid salinity, Cu and temperature in a sub-volcanic region
<p>The files brinelens.00.vtu, brinelens.01.vtu,... contain the simulated distributions of the fluid bulk salinity (a), the Cu concentration in fluid for the 'no sulfur' case (b), the Cu concenration in fluid for the 'sulfur unlimited' case (c), the Cu deposition for the 'sulfur unlimited' case (d), and the temperature (e) at t=0 yr, 10000 yr, 20000 yr,..., respectively. The distributions shown in Fig. 6a-e are in brinelens.10.vtu.</p> <p>The file brinelens.csv contains the simulated time evolution of the total mass of dissolved and precipitated Cu. These data are plotted in Fig. 7.</p>
Dataset of the analysis described in the article: EM signal penetration in a planetary soil simulant: Estimated attenuation rates using GPR and TDR in volcanic deposits on Mount Etna
<p>GPR and TDR Data collected at two sites on Mount Etna.</p> <p>See for more details the article</p>
Data: Muon Tomography sites for Colombia volcanoes for generate muon flux trought volcanic structures (arXiv:1705.09884v1)
<p><strong>Data: Muon Tomography sites for Colombia volcanoes (arXiv:1705.09884v1)</strong><br> <strong>The MuTe Collaboration</strong><br> <em>Data for generating figure 6<br> Muon Tomography sites for Colombia volcanoes (arXiv:1705.09884v1)</em></p> <p>The files in this record contain data from Extensive Atmospheric Shower simulations made by CORSIKA and Magnetocosmic codes, in a muography of Machin Volcano (Colombia) [https://volcano.si.edu/volcano.cfm?vn=351040] for a particular observation point. The objective was to count muons crossing the volcanic structure for a fixed observation point. Muon transport through the volcanic edifice is calculated by using an algorithm taken Corsika-Magnetocosmic output and taking into account the energy losses with the muon stopping power tables given by Particle Data Group (PDG).</p> <p>This dataset contains:</p> <ul> <li>Six (6) Corsika output files of 4 hours of simulation each using a flat detector (equivalent to 12 hours of simulated cosmic rays).</li> <li>One (1) Corsika output file of 12 hours of simulation using flat detector (equivalent to 6 hours of simulated cosmic rays).</li> <li>One (1) Corsika output file of 48 hours of simulation using flat detector (equivalent to 24 hours of simulated cosmic rays).</li> <li>Two (2) Corsika output files of 24 hours of simulation each using volumetric detector (equivalent to 48 hours of simulated cosmic rays).</li> <li>Everything makes a total simulated time of 3.75 days.</li> </ul> <p>The output files necessary for the determination of the muon flux through the volcanic structure are obtained through the following process:</p> <ul> <li>From the .shw.bz2 files it is possible to obtain an output file with the momentum information of the particle in the x, y, and z directions, and also the total momentum of the muons, essentially a formatted file (px, py, pz, p). This file can be built by typing in a terminal shell (bash code):</li> </ul> <p><em><strong>> </strong></em><strong>bzcat *.shw.bz2 | awk '{if($1==0006 ||$1==0005){j=sqrt(($2*$2)+($3*$3)+($4*$4));printf "%s %s %s %.s\n",$2, $3, $4, j }}' | sort -n > salida.out</strong></p> <ul> <li>Metadata in the showers file is as this type (for example):</li> </ul> <p># # # shw</p> <p># # CURVED mode is ENABLED and observation level is 2750 m a.s.l.</p> <p># # This is the Secondaries file - CrkTools v3r0</p> <p># # 12 column format is:</p> <p># # CorsikaId px py pz x y z shower_id prm_id prm_energy prm_theta prm_phi</p> <p>0001 +1.42146e-04 -3.96008e-05 +1.60247e-04 -1.31716e+03 -6.10051e+01 +2.44986e+03 00000001 0703 +1.25065e+02 +43.016 +021.768</p> <p>0003 +1.80713e-04 +1.89560e-03 +4.49373e-03 -1.32279e+03 -5.62869e+01 +2.44986e+03 00000001 0703 +1.25065e+02 +43.016 +021.768</p> <p>0003 +9.41713e-03 +2.38845e-03 +1.10020e-02 -1.32098e+03 -5.68323e+01 +2.44986e+03 00000001 0703 +1.25065e+02 +43.016 +021.768</p> <ul> <li>Concatenate all output files.</li> <li>Then, the muon flux trought rock can be calculated from two python codes, available in https://github.com/AstroparticulasBucaramanga/Propagacion-Muones-en-Roca. This step generates the final files to be graphed with any plotter, in our case, also using python.</li> </ul>
Supplementary material for the article "The Crystal Cargo Provides a Chronicle of Pre-Caldera Dynamics in Mafic Volcanic Systems: Insights from Colli Albani"
<p>This repository contains the data and supplementary material associated with the manuscript: Ágreda-López M., Musu A., Jorgenson C., Sǎla M., Giordano G., Caricchi L., Stremtan C., Petrelli M. "<strong>The Crystal Cargo Provides a Chronicle of Pre-Caldera Dynamics in Mafic Volcanic Systems: Insights from Colli Albani</strong>".<em> S</em>ubmitted to the Journal<em> Bulletin of Volcanology.</em></p> <div> </div> <p> </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.