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462 results for “volcano”
Seismic data collected at the Tinguatón volcano (Lanzarote, Canary Islands) during the European Space Agency (ESA) testing campaign PANGAEA-X 2018
<p>This dataset contains the seismic data collected between 19 and 21 November 2018 at the Tinguatón volcanic region (Los Volcanes Natural Park, Geoparc of Lanzarote, Canary Islands, Fig. 1), within the A1TRAP experiment which formed part of the Analog-1 geology and science support activity (Rossi et al., 2019). Analog 1 was part of a larger European Space Agency (ESA) testing campaign PANGAEA-X 2018 (Bessone et al., 2018), aimed at integrating astronaut training-data collection, documentation, analogue field geology procedures with remote sensing and in situ geophysical methods. </p> <p>Single-station, free-field ambient seismic noise data were collected along two orthogonal profiles: Traverse A, crossing the Tinguatón volcano, and Traverse B passing alongside it (Fig. 1c). Traverse A is ESE-WNW oriented and aligned to the regional fault (as well as along the fissure vent inside the volcano crater), and consists of 12 stations (P1-P12), approximately 50 m apart, with a total profile length of 620 m. Traverse B is NNW-SSE oriented and orthogonal to the regional fault strike, and consists of 9 stations (P13-P20), approximately 50 m apart, with a total profile length of 390 m.</p> <p>Data were collected using a Tromino® model ENGY digital tromograph (Micromed, 2011). This is an ultralight all-in-one device, using a compact 3-directional, 24-bit digital seismometer developed by MoHo s.r.l. (1 dm<sup>3</sup> volume and 1 kg weight), including both sensors and the data acquisition system, and works at frequencies down to 0.3 Hz. This seismograph is equipped with three orthogonal electrodynamic sensors (velocimeters), powered by two 1.5 V AA batteries. It includes an internal Global Positioning System (GPS) antenna and does not have any external cables.</p> <p>For all the measurements, the seismometer’s axis referred to as N-S was aligned to N15W direction, i.e., the strike of the western edge of the Tinguatón volcano, the area’s main topographic feature. Good ground coupling on scoria deposits or highly weathered basalt was obtained by using three, 6 cm-long metal spikes screwed into the base of the unit. The seismometer was levelled. Each seismic noise acquisition involved a 16-minute trace length with a 1024 Hz sampling rate, in accordance with the recommendations from SESAME Project (Bard et al., 2004).</p> <p>Four MASW (Multichannel Analysis of Surface Waves) active seismic surveys (A3_5, A7, A8_10, A18_19) were undertaken along the two profiles (Fig. 1c) to acquire the shear wave velocity of the shallow layer which was later to be used to constrain the H/V inversion. These surveys were carried out using the same equipment, along with a wireless trigger by MoHo s.r.l., and a heavy metal plate struck with a 5 kg hammer for the generation of compressional waves. A redundancy test, which involved ground energization by an ESA astronaut (Matthias Maurer) jumping up and down, was also performed (Fig. 1c). This test tried to mimic deployment and testing during possible future planetary missions. However, this test did not provide satisfactory results in term of signal clarity. The seismometer was kept fixed on the ground while shot points were moved at increasing distances involving a 5 m minimum offset and 1 m spacing for the first 11 shots and 5 m spacing for subsequent shots for total profile lengths ranging between 50 m and 100 m (Fig. 1c). Each MASW acquisition involved a 3 s trace window with a 512 Hz sampling rate.</p> <p>The data are presented in ASCII format files. The recordings of each channel were saved all together in the same file. Information about each file was printed on the header of the same file.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>The authors are grateful to ESA and all PANGAEA-X 2018 staff, particularly Loredana Bessone and Matthias Maurer for their participation in data collection during some of the experiments and to the MilesBeyond Team, particularly Francesco Maria Sauro for his logistical support. We also thank MoHo s.r.l., particularly Jeremy Magnon, for providing instrumental support.</p> <p> </p> <p><strong>References</strong></p> <p>Bessone, L., et al., 2018, Testing technologies and operational concepts for field geology exploration of the</p> <p> Moon and beyond: the ESA PANGAEA-X campaign, Geophysical Research Abstract, #EGU2018-4013.</p> <p>Micromed, 2011. Dati tecnici Tromino e download pacchetto software Grilla. Available online from the</p> <p> website <a href="http://www.tromino.it/">http://www.tromino.it</a>.</p> <p>Bard, P., Duval, A., Koehler, A., Rao, S., 2004, Guidelines for the Implementation of the H/V Spectral Ratio</p> <p> Technique on Ambient Vibrations Measurements, Processing and Interpretation. SESAME H/V User Guidelines., pp. 1–62. Available online: <a href="http://sesame.geopsy.org/SES_Reports.htm">http://sesame.geopsy.org/SES_Reports.htm</a>.</p> <p>Rossi, A.P., et al., 2019, Morphometry and trafficability of planetary analogue terrains based on very high</p> <p> resolution remote sensing imagery, Geophysical Research Abstract, #EGU2019-17614.</p>
Figs 13–16. Trechus spp., habitus. 13. T in Revision of Trechus Clairville, 1806 of the Bale Mountains and adjacent volcanos, Ethiopia (Coleoptera, Carabidae, Trechini)
Figs 13–16. Trechus spp., habitus. 13. T. rira sp. nov., holotype. 14. T. iridescens sp. nov., holotype. 15. T. oppositus sp. nov., paratype, ³. 16. T. bombi sp. nov., holotype.
Figs 17–20 in Revision of Trechus Clairville, 1806 of the Bale Mountains and adjacent volcanos, Ethiopia (Coleoptera, Carabidae, Trechini)
Figs 17–20. Trechus spp., head, pronotum. 17. T. rira sp. nov., holotype. 18. T. iridescens sp. nov., holotype. 19. T. oppositus sp. nov., paratype, ³. 20. T. bombi sp. nov., holotype.
Hyperspectral imagery - Mt Ruapehu volcano, New Zealand
<p>This dataset contains an airborne hyperspectral image of Mt Ruapehu, New Zealand. The image was captured by an AISA Fenix pushbroom, full spectrum hyperspectral imaging system, on board of the Cessna 185 aircraft. The survey was taken between 10:25-12:45 NZST on 31 March 2018. The image has been covered to radiance and then surface reflectance using ATCOR4, and then geocoded using PARGE. The individual strips have been co-registered to high-resolution RGB orthophotos captured simultaneously with the hyperspectral data.</p> <p>More details of the processing and instrumentation please see:</p> <p>Kereszturi, G., Schaefer, L. N., Miller, C., & Mead, S. (2020). Hydrothermal alteration on composite volcanoes: Mineralogy, hyperspectral imaging, and aeromagnetic study of Mt Ruapehu, New Zealand. <em>Geochemistry, Geophysics, Geosystems</em>, 21, e2020GC009270. <a href="https://doi.org/10.1029/2020GC009270">https://doi.org/10.1029/2020GC009270</a></p> <p>Kereszturi, G., Schaefer, L. N., Mead, S., Miller, C., Procter, J. & Kennedy, B. (2021). Synthesis of hydrothermal alteration, rock mechanics and geophysical mapping to constrain failure and debris avalanche hazards at Mt. Ruapehu (New Zealand). <em>New Zealand Journal of Geology and Geophysics</em>, <a href="https://doi.org/10.1029/2020GC009270">https://doi.org/</a><a href="https://doi.org/10.1080/00288306.2021.1885048">10.1080/00288306.2021.1885048</a></p> <p>Any queries or questions please contact me at G.Kereszturi@massey.ac.nz</p>
Data from: Taxonomic and phylogenetic diversity of vascular plants at Ma'anling volcano urban park in tropical Haikou, China: Reponses to soil properties
Anthropogenic processes and socio-economic factors play important roles in shaping plant diversity in urban parks. To investigate how plant diversity of Ma' anling urban volcano park in Hainan Province, China respond to these factors, we carried out a field investigation on the taxonomic and phylogenetic diversity of vascular plants and soil properties in this area. We found 284 species of vascular plants belonging to 88 families and 241 genera, which included 194 native species, 23 invasive species, 31 naturalized species, 40 cultivars, and 4 rare / endangered plant species. Tree composition and richness significantly varied between different vegetation formations (plantation, secondary forest, and abandoned land). Plant species richness and community composition were significantly affected by elevation (El), soil water content (WC), total soil nitrogen (TN) and soil organic matter (SOM). There were significant diversity differences between plantations and abandoned lands, but not between the plantations and secondary forests. The flora in the study site was tropical in nature, characterized by pantropic distributions. Compared to adjacent areas, floristic composition in the study site was most similar to that of Guangdong, followed by that of Vietnam. Our study revealed the diversity patterns of volcanic plants and provided the basis for future planning of plant conservation, such as preserving plant species, maintaining plant habitats, and coordinating plant management in this region.
FIGURE 17 in Apseudomorph tanaidaceans (Crustacea: Peracarida) from mud-volcanoes in the Gulf of Cadiz (North-east Atlantic)
FIGURE 17. Sphyrapus meknes sp. nov., holotype female, dorsal. Scale line = 1 mm
FIGURE 3. Apseudes setiferus, A in Apseudomorph tanaidaceans (Crustacea: Peracarida) from mud-volcanoes in the Gulf of Cadiz (North-east Atlantic)
FIGURE 3. Apseudes setiferus, A, antennule; B, antenna; C, pereopod 1. Scale lines = 1 mm.
FIGURE 6 in Apseudomorph tanaidaceans (Crustacea: Peracarida) from mud-volcanoes in the Gulf of Cadiz (North-east Atlantic)
FIGURE 6. Atlantapseudes nigrichela, female, A, dorsal; B, lateral. Scale line = 2 mm.
FIGURE 13 in Apseudomorph tanaidaceans (Crustacea: Peracarida) from mud-volcanoes in the Gulf of Cadiz (North-east Atlantic)
FIGURE 13. Sphyrapus malleolus, female, A, dorsal and B, lateral. Scale line = 1 mm.
FIGURE 5. Apseudes grossimanus, A in Apseudomorph tanaidaceans (Crustacea: Peracarida) from mud-volcanoes in the Gulf of Cadiz (North-east Atlantic)
FIGURE 5. Apseudes grossimanus, A, lateral (male); B, dorsal (female). Scale line = 1 mm.
Multi-Station Trace Data from four Chilean Volcanoes: Nevados de Chillán Volcanic Complex, Villarrica, Laguna del Maule, and Puyehue-Cordón Caulle.
<p>This dataset contains 24.493 seismic events recorded by Observatorio Vulcanológico Andes Sur (OVDAS, SERNAGEOMIN) of four Chilean volcanoes: Nevados de Chillán Volcanic Complex (NVChVC), Villarrica (VCA), Laguna del Maule (LDM), and Puyehue-Cordón Caulle (CAU). Each event is stored as a NumPy array (.npy) of shape 14x8192. All arrays correspond to a 81.92-second (8192 samples @100Hz) window containing a single seismic event (or part of it, for longer events). A 10-hour multistation continuous signal recorded at NVChVC is also included, this trace contains only the 8 channel seismograms and reference events are detailed in the accompanying .csv file.</p> <p>The first 8 rows of each array contain data from 1 to 8 seismic stations, with stations that didn't record data filled with zero-valued arrays. The remaining 6 rows represent the true labels of the event at each sample in time:</p> <ul> <li><strong>Row 9</strong> (Class 0) represents the background class (1 for no event, 0 when an event is present).</li> <li><strong>Rows 10 to 14</strong> represent the five seismic event classes: <ul> <li>Class 1: Volcano-Tectonic (VT) Events</li> <li>Class 2: Long-Period (LP) Events</li> <li>Class 3: Tremor (TR) Events</li> <li>Class 4: Avalanche (AV) Events</li> <li>Class 5: Ice Quake (IC) Events</li> </ul> </li> </ul> <p>The dataset is broken down as follows:</p> <ul> <li><strong>NVChVC</strong>: 3068 VT, 1892 LP, 2360 TR, 805 AV, and 977 IC events, recorded from January 2017 to December 2022.</li> <li><strong>VCA</strong>: 1516 VT events, recorded from September 2012 to June 2023.</li> <li><strong>LDM</strong>: 6663 VT events, recorded from April 2012 to July 2023.</li> <li><strong>CAU</strong>: 2298 VT, 2081 LP, and 2833 TR events, recorded from April 2010 to June 2017.</li> <li><strong>Continuous 10-hour </strong><strong>NVChVC trace:</strong> 38 VT, 55 LP, 28 TR, 23 AV, and 51 IC events (205 total).</li> </ul> <p>All seismic signals were recorded at 100 Hz. Preprocessing steps include applying a bandpass filter between 1 and 15 Hz and normalizing amplitude by dividing each signal channel by the single maximum amplitude across the 8 channels.</p> <p>The data was curated and manually reclassified for the article "A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation", and can be explored through codes available at: <a href="https://github.com/camilo-espinosa/volcano-seismic-segmentation">https://github.com/camilo-espinosa/volcano-seismic-segmentation</a>.</p> <p>The seismic data used in this research were recorded by the Observatorio Vulcanológico de los Andes del Sur (OVDAS, <a href="https://rnvv.sernageomin.cl/observatorio-volcanologico-de-los-andes-del-sur/">https://rnvv.sernageomin.cl/observatorio-volcanologico-de-los-andes-del-sur/</a>), part of the Servicio Nacional de Geología y Minería (SERNAGEOMIN, <a href="https://rnvv.sernageomin.cl/">https://rnvv.sernageomin.cl/</a>), Chile. Raw seismic signals for the Villarrica, Laguna del Maule, and Puyehue-Cordón Caulle volcanoes were obtained through a public information request process(<a href="https://www.consejotransparencia.cl/solicitud-informacionpublica/">https://www.consejotransparencia.cl/solicitud-informacionpublica/</a>). The specific request codes are:</p> <ul> <li>Laguna del Maule (2012-2023): AS004T0005608, AS004T0004571, AS004T0004553, AS004T0006050.</li> <li>Puyehue-Cordón Caulle (2010-2017): AS004T0005484.</li> <li>Villarrica (2010-2024): AS004T0004268, AS004T0005733, AS0004T0006292, AS004T0006637.</li> </ul> <p>Data from Nevados del Chillán were provided through a cooperation agreement between Universidad de La Frontera and OVDAS.</p> <p> </p>
Australian atmospheric pressure and sea level data during the 2022 Hunga-Tonga Hunga-Ha'apai volcano tsunami
<p>This archive contains time series of mean sea level pressure and sea level in Australia before and after the 2022-01-15 Hunga-Tonga Hunga Hapai volcanic tsunami. An associated journal publication has been submitted to the journal Scientific Data, with title "Australian atmospheric pressure and sea level data during the 2022 Hunga-Tonga Hunga-Ha'apai volcano tsunami" </p>
Data and scripts of "Seismic wavefield change preceding the eruption of Shinmoe-dake, Kirishima volcano, Japan, inferred from polarization analysis" by Takashi Hirose and Hideki Ueda
Open the record for dataset details and reuse information.
Infrasonic Data from the July 4–11, 2024 Paroxysm of Stromboli Volcano
<p>Paroxysmal eruptions, marked by abrupt and intense explosive activity, are frequent occurrences at many open-vent volcanoes as well as at Stromboli Volcano (Italy). Here, we present an acoustic dataset recorded by an infrasound station, called PISA, deployed at Stromboli Volcano (Italy) during July, 2024. This dataset was collected during a field experiment within the framework of "Progetto INGV Pianeta Dinamico” -Sub-project VT_DYNAMO 2023- code CUP D53J19000170001 - funded by Italian Ministry MIUR (“Fondo Finalizzato al rilancio degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese”, legge 145/2018).</p> <p>The main goal was to offer the best possible data to improve the acoustic network to analyse the eruptive activities characterized by constant degassing and continuous explosions from the summit craters, occasionally interrupted by brief but powerful paroxysms.</p> <p>During the field experiment, we acquired an unexpected and interesting complete dataset of acoustic waveforms generated by the intense explosive activity that occurred during July, 2024. This activity began on July 3, when intense spattering was observed in the northern summit crater sector of the Stromboli, resulting in a series of partial collapses of the northern crater rim. These collapses also re-mobilized material that had been ejected in the days prior. A major explosion occurred the day after (04 of July), accompanied by lava flow and several collapses of pyroclastic material. This kind of activity continued during the following days till the 11 of July, when a paroxysm took place in the northern crater area, generating an eruptive column, and a pyroclastic flow rapidly descending along the Sciara del Fuoco, triggering a small-scale tsunami wave. </p> <p>This data repository includes acoustic waveforms of 4 and 11 July 2024 and related metadata. The infrasonic station PISA was installed at Punta Labronzo area, the northern tip of the island, at an elevation of 128 m a.s.l. and at a distance of about 1800 m from the craters. This location was chosen considering three main criteria: i) site accessibility and safety of personnel; ii) setting up a sensor array to finalize the alignment of the stations along the rim of the Sciara del Fuoco, the highly unstable slope of the volcano, to monitor scenarios of potentially hazardous paroxysms; iii) optimizing the detection and discrimination of activity from all summit craters.</p> <p>PISA 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). 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 and, University of Liverpool (UK).</p> <p> </p> <p>Table 1. Specifications of infrasound sensor and digitizer.</p> <div> <table> <tbody> <tr> <td> <p>STZ Name</p> </td> <td> <p>Latitude</p> </td> <td> <p>Longitude</p> </td> <td> <p>Elevation (m)</p> </td> <td> <p>Infrasound sensor</p> </td> <td> <p>Sensibility (mV/Pa)</p> </td> <td> <p>Dynamic Range (Pa)</p> </td> <td> <p>Frequency response (Hz)</p> </td> <td> <p>Sampling Rate (Hz)</p> </td> <td> <p>Digitizer</p> </td> </tr> <tr> <td> <p>PISA</p> </td> <td> <p>38,8094</p> </td> <td> <p>15,2154</p> </td> <td> <p>128</p> </td> <td> <p>IST2018</p> </td> <td> <p>20</p> </td> <td> <p>+/- 480</p> </td> <td> <p>0.06-40</p> </td> <td> <p>100</p> </td> <td> <p>Cube3</p> </td> </tr> </tbody> </table> </div> <p><strong><br><br><br></strong></p>
Microgravity data collected at Uturuncu Volcano between March 2010 and November 2018
<p>The file contains microgravity data collected between March 2010 and November 2018 in the Altiplano-Puna Volcanic complex.</p> <p>%clmn1=Benchmark Identifier</p> <p>%clmn2=Latitude in degrees</p> <p>%clmn3= Longitude in degrees</p> <p>%clmn4=gravity difference wrt to reference UBAS in muGal 3/2010</p> <p>%clmn5=uncertainty in gravity difference wrt to reference UBAS in muGal 3/2010</p> <p>%clmn6=gravity difference wrt to reference UBAS in muGal 11/2010</p> <p>%clmn7=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2010</p> <p>%clmn8=gravity difference wrt to reference UBAS in muGal 11/2011</p> <p>%clmn9=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2011</p> <p>%clmn10=gravity difference wrt to reference UBAS in muGal 3/2013</p> <p>%clmn11=uncertainty in gravity difference wrt to reference UBAS in muGal 3/2013</p> <p>%clmn12=gravity difference wrt to reference UBAS in muGal 11/2013</p> <p>%clmn13=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2013</p> <p>%clmn14=gravity difference wrt to reference UBAS in muGal 11/2018</p> <p>%clmn15=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2018</p> <p> </p> <p> </p>
Distribution. Chiriqui Volcano and surrounding regions and Azuero Peninsula (W & S Panama). in Cricetidae
Distribution. Chiriqui Volcano and surrounding regions and Azuero Peninsula (W & S Panama).
FIGURE 2 in A new species of brilliant green frog of the genus Tlalocohyla (Anura, Hylidae) hiding between two volcanoes of northern Costa Rica
FIGURE 2. Holotype of Tlalocohyla celeste sp. nov. (UCR 23700). (A) Dorsal view. (B) Ventral view.
Supplementary material 1 from: Chen C, Watanabe HK (2022) A new provannid snail (Gastropoda, Abyssochrysoidea) discovered from Northwest Eifuku Volcano, Mariana Arc. ZooKeys 1112: 123-137. https://doi.org/10.3897/zookeys.1112.85950
KML file of the type locality of Provanna exquisita sp. nov.
Hawaii Volcano Haleakalā
Source: Objaverse 1.0 / Sketchfab
Figure S1: 2022 HTHH Volcano Tsunami. Air-Ocean Coupled Model
<p>Model of the air-coupled tsunami showing barometric pressure data (lower panel) from the Caribbean and adjacent region stations (indicated by yellow stars) that were used in this study. Satellite image data was used to measure the radiation of the Lamb wave (barometric pressure). A numerical model of the Lamb wave that includes all variables that contribute to the modification of the propagation of the wave, such as wind and topography. Followed by a model of the Lamb wave-generated tsunami, showcasing the differences in wave energy between the Pacific Ocean and the Atlantic Ocean, as well as in the Caribbean Sea. The x-axis on the Pressure anomaly (Lamb Wave) graph in the lower panel shows time in hours from the Hunga Tonga–Hunga Haʻapai eruption (Adjusted from Sepulveda et al., 2023).</p>
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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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.