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462 results for “Volcano”
Data for the paper "Two small volcanoes, one inside the other: geophysical and drilling investigation of Bažina maar in western Eger Rift"
<p>Data for the paper "Two small volcanoes, one inside the other: geophysical and drilling investigation of Bažina maar in western Eger Rift"</p> <p>Pavla Hrubcová, Tomáš Fischer, Vladislav Rapprich, Jan Valenta, Petr Tábořík, Jan Mrlina, Torsten Dahm, Tomáš Vylita, Roman Beránek, Radek Klanica, Veronika Turjaková</p> <p> </p> <p>This repository contains following data:</p> <p>1. Gravity data <br> • file: Gravity_Topo.txt (measured field data after topographic correction)<br> <br> 2. Magnetic data <br> • file: bazina_maar_magnetics.xlsx (measured field data corrected for variations)<br> • file: bazina_maar_magnetics_RTP.grd (magnetic field data reduced to pole, Golden <br> Software Surfer grid file)<br> <br> 3. Ground resistivity data using the multielectrode method (ERT data)<br> • folder: ERT_data – raw data for inversion in BERT format (https://gitlab.com/resistivity-net/bert) <br> - profiles<br> - 3d compilation<br> - ESRI ShapeFiles with coordinates<br> • folder: ERT_results – inverted results <br> - profiles<br> - 3d compilation (3d data cube)<br> The data are in VTK file format (The Visualization Toolkit)<br> Geographic coordinates used for the 3d data processing are in the S-JTSK (Krovak’s projection <br> – Cartesian coordinates used by the Czech Office for Surveying, Mapping and Cadastre)<br> <br> • file: Bazina_resistivity.xls (each sheet contains one file with data for the inversion) <br> The format is for the BERT software (https://gitlab.com/resistivity-net/bert) <br> all profiles, 3d compilation, with coordinates </p> <p>4. Lithology and logging data from the two boreholes S4 and S4b <br> • file: S4_data_EN.LAS (logging data for S4 borehole)<br> • file: S4b_data_EN.LAS (logging data for S4b borehole)<br> • file: Lithology_and_Logging_S4_S4b.pdf (lithology and logging data for S4 and S4b boreholes)<br> </p>
Supplementary data for the study "Unveiling the rheological control of magmatic systems on volcano deformation: the interplay of poroviscoelastic magma-mush and thermo-viscoelastic crust ", submitted in the Journal of Geophysical Research: Solid Earth
<p>Supplementary data for the study "Unveiling the rheological control of magmatic systems on volcano deformation: the interplay of poroviscoelastic magma-mush and thermo-viscoelastic crust ", submitted in the Journal of Geophysical Research: Solid Earth</p>
Migration of mechanical perturbations estimated by seismic coda wave interferometry during the 2018 pre-eruptive period at Kīlauea volcano, Hawaii : Noise Cross-correlation Functions, Seismic catalog, and GNSS data
<p>ARCHIVE_NCFs_KILAUEA_2018.zip : Compress folder with (1) the daily noise cross-correlation functions (in MSEED format) of the station pairs used in the paper and (2) the one hour noise cross-correlation functions (in H5 format) of the station pairs used in the figure 9 of the paper.</p> <p>Code_Data_HVO.ipynb : Code to download the seismic data, available on IRIS, used in this paper.</p> <p>GPS_data_AHUP.zip : Compress folder with the daily GPS data of the station AHUP used in the paper [Year, Month, Day, Day_of_the_year, Second_of_the_day, East_comp(mm), North_comp(mm), Vertical_comp(mm), Sig_East_comp, Sig_North_comp, Sig_Vertical_comp].</p> <p>Radial_tilt_UWD.txt : Daily radial tilt measurement of the tiltmeter UWD [Year, Month, Day, Radial_tilt(µrad)].</p> <p>Seismic_stations_Kilauea.txt : Name code and location of the seismic stations used in the paper [Station_code, Longitude, Latitude].</p> <p>Seismicity_Catalog_Kilauea_2018_USGS.txt : Seismic catalog from USGS used in the paper [Date_Time, Latitude, Longitude, Depth, Magnitude].</p>
Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography
<p>Supplementary material to: Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography (2023). </p> <p>Files are short infrared videos of explosive activity in the near-vent region of Tajogaite Volcano. Files are named by date of acquisition. </p>
Supplementary material to 'Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland'
<p>This supplementary material contains a video with impressions of the fieldwork, that was part of the work published in the article ' Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland' in Volcanica.</p>
Supporting Files: Ash Deposition Triggers Phytoplankton Blooms at Nishinoshima Volcano, Japan
<p>Supporting data for 2023 G-Cubed Publication "Ash Deposition Triggers Phytoplankton Blooms at Nishinoshima Volcano, Japan". All methods for generated datasets included in the manuscript and supplemental material. 'AshTriggeringPhytoplanktonBlooms_README.txt' contains information about each file included here.</p> <p><strong>Please cite this </strong><strong>as the following:</strong></p> <p><span>Kelly, L. J.</span>, <span>Fauria, K. E.</span>, <span>Mittal, T.</span>, <span>El Kassar, J.</span>, <span>Bennartz, R.</span>, <span>Nicholson, D.</span>, et al. (<span>2023</span>). <span>Ash deposition triggers phytoplankton blooms at Nishinoshima Volcano, Japan</span>. <em>Geochemistry, Geophysics, Geosystems</em>, <span>24</span>, e2023GC010914. <a href="https://doi.org/10.1029/2023GC010914">https://doi.org/10.1029/2023GC010914</a></p>
Mt Richmond and McLennan Hills volcanoes 1940
Mt Richmond or Otahuhu, and McLennan Hills, volcanic scoria cones and Maori hillforts, in 1940 before McLennan Hills was quarried away. Otahuhu is named after Maori chief Tahuhu who founded a settlement there in the 14th century. The local scoria cones were used as defendable hillforts, had fertile soil for growing crops and were next to a canoe portage route across the narrowest part of the Auckland isthmus. Auckland, New Zealand. Aerial photos from retrolens.nz My 3D asset generated with photogrammetry software 3DF Zephyr v4.009 processing 4 images Source: Objaverse 1.0 / Sketchfab
Supplementary Movies: High-rate very-long-period seismicity at Yasur volcano, Vanuatu: Source mechanism and decoupling from surficial explosions and infrasound
Open the record for dataset details and reuse information.
Ancient volcanos as species pumps: A case study of freshwater amphipods in Northeast Asia
Open the record for dataset details and reuse information.
Mass spectrometry data for interactive volcano plots - by van der Weegen et al.
<p>These datasets are generated by Yana van der Weegen et al. (2020) and part of the publication "The sequential and cooperative action of CSB, CSA and UVSSA targets the TFIIH complex to DNA damage-stalled RNA polymerase II" to be published in Nature Communications.</p> <p>The CSV files are used as input to generate (interactive) volcano plots, using the web app VolcanoNoseR. The code is archived here: https://zenodo.org/record/3625858</p> <p>The most up-to-date version of the interactive web app is available here: <a href="https://huygens.science.uva.nl/VolcaNoseR/">https://huygens.science.uva.nl/VolcaNoseR/</a></p>
Mass spectrometry data for interactive volcano plots - van der Weegen et al., 2020
<p>These datasets are generated by Yana van der Weegen et al. (2020) and part of the publication "The sequential and cooperative action of CSB, CSA and UVSSA targets the TFIIH complex to DNA damage-stalled RNA polymerase II" to be published in Nature Communications.</p> <p>The CSV files are used as input to generate (interactive) volcano plots, using the web app VolcanoNoseR. The code is archived here: https://zenodo.org/record/3625858</p> <p>The most up-to-date version of the interactive web app is available here: <a href="https://huygens.science.uva.nl/VolcaNoseR/">https://huygens.science.uva.nl/VolcaNoseR/</a></p> <p> </p> <p> </p>
Piparo mud volcano
<p>Electrical resistivity tomography method was used to monitor near-surface structures of a mud volcano in Piparo, Trinidad. This method utilizes the Wenner array electrode configuration, electrode spacing of 3 m, and 14 parallel lines spaced at 12 m apart. We acquired data at two different times. The first dataset were acquired in July 2018. On the 21st of August 2018, a magnitude 6.9 earthquake occurred near the northern coast of Venezuela, and greatly affected the study area, as well as the majority of Trinidad. The second dataset were acquired in January 2019. The data (electrical resistivity data.rar) contain:<br> July 2018 2D and pseudo-3D data sets<br> January 2019 2D and pseudo-3D data sets</p>
FIGURE 7 in Oloncholaimus piipi gen. et sp. nov. (Nematoda, Oncholaimidae) from Piip submarine volcano, the Bering Sea
FIGURE 7. Oloncholaimus piipi gen. et sp. nov. Light microscopy, DIC. A–E: Examples of intestine content. Scale bars: A–D—50 μm; E—25 μm.
FIGURE 4 in Oloncholaimus piipi gen. et sp. nov. (Nematoda, Oncholaimidae) from Piip submarine volcano, the Bering Sea
FIGURE 4. Oloncholaimus piipi gen. et sp. nov. A–E, J—Light microscopy, DIC; F–I—Scanning electron microscopy. A: Anterior end of male (paratype); B–E: Male head (paratype); F: Male tail; G: Precloacal region of the male, ventral view; H: Supplementary organ; I: Mail tail tip; J: Male body (paratype). Scale bars: A—50 μm; B–E—25 μm; F, I—20 μm; G—10 μm; H—1; J—500 μm. Abbreviations: a—amphid; e.p.—excretory pore; o.f.g.—orifice of the pharyngeal gland.
Volcano plot of Sigma B-dependent differential gene expression of Clostridioides difficile
<p>A customized whole-genome DNA microarray of <em>Clostridioides difficile </em>630∆<em>erm</em> was used (8x15K format, Agilent). Quadruplicate samples were analysed for the DNA microarray. Using the ULS fluorescent labelling kit for Agilent arrays (Kreatech), 1 µg of total RNA was used for labelling with either Cy3 (P<sub>tet</sub>-<em>sigB</em>) or Cy5 (P<sub>tet</sub>-<em>sLuc<sup>opt</sup></em>). After pooling and fragmentation, 300 ng of labelled RNA per sample was hybridized according to the two-color microarray protocol from Agilent. DNA microarrays were scanned with an Agilent C scanner and analysed. CDS_ID=GenBank identifier, gene_name=annotated gene name (when available), locus_tag= locus tag, protein=annotation of protein function (when available), log2FC= log 2 of the fold change (sigB overproduction/control), adj_Pvalue = adjusted P-value, significance = -10log(adj_Pvalue).</p>
Reciprocal SEM simulations of seismic impulse response at Piton de la Fournaise volcano
<p>This Dataset contains synthetic seismic signals simulated using the Spectral Element Method (SEM) for the study of rockfall seismic signals at Piton de la Fournaise volcano. Synthetic signals from both a reference model with flat surface and a model with Dolomieu crater surface topography of 10m resolution are contained.</p> <p>The simulations were carried out reciprocally for seismometers BON, BOR, DSO and SNE, implementing surface point force in form of a 7Hz Ricker wavelet directed vertically ('vertical_Z'), eastwards ('horizontal_E'), and northwards ('horizontal_N').</p> <p>The respective source position is stored in 'source.txt' and the measurement positions in 'stations.txt'. The 'traces'-folder contains a file corresponding to each station with 7 columns including simulation time t, ground displacement s and ground velocity v:<br> Time t (s) | East s_X (m) | North s_Y (m) | Vertical s_Z (m)| East v_X (m/s) | North v_Y (m/s) | Vertical v_Z (m/s)</p> <p>Sampling frequency: 100Hz</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>
Vs Model for the Merapi Volcano Complex
<p>Please refer to:</p> <p>T. Yudistira, J.-P. Metaxian, M. Putriastuti, S. Widiyantoro, N. Rawlinson, F. Beauducel, Z. Zulfakriza, A. D. Nugraha, A. Laurin, A. A. Fahmi and A. Budi-Santoso (2021). Imaging of a Magma System Beneath the Merapi Volcano Complex, Indonesia, using Ambient Seismic Noise Tomography, Geophysical Journal International (submitted)</p>
Mineralogy and origin of aerosol from an arc basaltic eruption: case study of Tolbachik volcano, Kamchatka
<p>Intense emission of volcanic aerosol accompanied the 2012-13 basaltic effusive eruption of Tolbachik volcano, Kamchatka. The aerosols sampled contain sulfuric acid droplets, glassy particles and 70 mineral phases. All aerosol particles may be classified by their origin. The fragmentation aerosol includes magma fragments: silicate glass clasts, silicate microspheres and small phenocrysts (olivine, pyroxene and magnetite). The alteration aerosol comprises particles of quenched silicate melt covered with secondary minerals (fluorides, sulfates and oxides/hydroxides of rock-forming elements) and fragments of altered rocks composed solely of secondary minerals. The condensation aerosol dominated the mass during the later stages of the eruption when the explosive activity had ceased, and was characterized by the greatest variety of particle compositions. Na-K sulfate and Fe(III) oxide made more than 95% of the solid fraction of the condensation aerosol. The remaining 5% were represented by native elements (Au, Ag-Pt alloy, Pt); sulfides of Fe, Cu, Ag and Re; oxides and hydroxides of Al, Fe, Cu, Zn, Mo, W, Te, Ta and Zr; halides of Al, Mg, Na, K, Ca, Cd, Pb, Ag and Tl; sulfates of Na, K, Pb, Ca and Ba; the only silicate was As-bearing orthoclase. Droplets of H<sub>2</sub>SO<sub>4</sub> formed the liquid phase of the condensation aerosol. Some of the aerosols, such as magnetite spherules or phosphate-carbonate-fluorite association, likely had a nonvolcanic origin (country rocks, wood fly ash). Physical and chemical properties of minerals from the volcanic aerosols have an effect on the geochemical and environmental behavior of the trace elements emitted by volcanoes.</p>
Data from: Living on a volcano's edge: genetic isolation of an extremophile terrestrial metazoan
Communities of organisms inhabiting extreme terrestrial environments provide a unique opportunity to study evolutionary forces that drive population structure and genetic diversity under the combined challenges posed by multiple geogenic stressors. High abundance of an invasive pantropical earthworm (and the absence of indigenous lumbricid species) in the Furnas geothermal field (Sao Miguel Island, Azores) indicates its remarkable tolerance to high soil temperature, exceptionally high carbon dioxide and low oxygen levels, and elevated metal bioavailability, conditions which are lethal for the majority of terrestrial metazoans. Mitochondrial and nuclear markers were used to analyze the relationship between populations living inside and outside the geothermal field. Results showed that Pontoscolex corethrurus (Annelida, Oligochaeta, Glossoscolecidae) to be a genetically heterogeneous complex within the Sao Miguel landscape and is probably differentiated into cryptic species. The population exposed to the hostile soil conditions within the volcanic caldera possesses the lowest within-population mitochondrial diversity but an unexpectedly high degree of nuclear variability with several loci evidencing positive selection, parameters indicative of a genetically unique population only distantly related to conspecifics living outside the caldera. In conclusion, P. corethrurus inhabiting active volcanic soil is a discrete extremophile population that has evolved by tolerating a mixture of non-anthropogenic chemical and physical stressors.
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Allen Brain Atlas
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OpenNeuro
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