Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
462
datasets available to search
ShareScore release 0.7.1
Dataset results
462 results for “Volcano”
Dataset for manuscript Precursor-free eruption triggered by edifice rupture at Nyiragongo volcano
<p>This archive file contains datafiles used in "Precursor-free eruption triggered by edifice rupture at Nyiragongo volcano" manuscript. </p> <p>i.e. : Ash Index, Lava flow shp, fractures shp, eruptive fissure shp, GNSS, InSAR, Seismic catalog, SO2 measurmement and Dike Modeling inputs and results.</p>
Figs 17–31 in A new subspecies of Bembidion sanatum (Coleoptera: Carabidae) endemic to the Mendeleev Volcano (Kunashir Island, Russia)
Figs 17–31. Male and female genitals of Bembidion sanatum: 17–19, 23–25, 28–29 – B.
Figs 5–16 in A new subspecies of Bembidion sanatum (Coleoptera: Carabidae) endemic to the Mendeleev Volcano (Kunashir Island, Russia)
Figs 5–16. Bembidion sanatum, detals: 5, 6, 9, 10, 13,14 – B. sanatum iwanai, ssp. n.; 7,
Figs 1–4 in A new subspecies of Bembidion sanatum (Coleoptera: Carabidae) endemic to the Mendeleev Volcano (Kunashir Island, Russia)
Figs 1–4. Bembidion sanatum, dorsal habitus: 1, 2 – B. sanatum iwanai, ssp. n.: 1 – male,
Datacubes of InSAR time series for active volcanoes
<p>Datacubes of InSAR time series for the 20 volcanoes (*) flagged in the paper "Large-scale demonstration of machine learning for the detection of volcanic deformation in Sentinel-1 satellite imagery" by Biggs et al. (Bull Volc, 2022).</p> <p>Each file contains the time series of cumulative displacements for one volcano in the *.nc format. There are four fields with "DATA" : cumulative LOS displacements (unit=meters), "lon" : longitude (unit=degrees), "lat" : latitude (unit=degrees) and "time" : number of days since the first date. The first date can be found in the attribute "units" of the variable "time".</p> <p>(*) The five volcanoes: Sierra Negra, Fernandina, Cerro Azul, Wolf and Alcedo volcanoes are contained in the single file "galapagos_128D_09016_110500.nc".</p>
Auckland volcanoes 1940
A test to see how well more photos would create a model of a larger area. There seems to be less detail in a scan of a larger area. This scan includes 3 volcanoes, One Tree Hill, Three Kings and Mt Roskill, Auckland, New Zealand. Aerial photos from retrolens.nz . My 3D asset generated with photogrammetry software 3DF Zephyr v5.008 processing 12 images Source: Objaverse 1.0 / Sketchfab
Mt Smart volcano 1940
Mt Smart or Rarotonga, a volcanic scoria cone and Maori hillfort in 1940, in the process of being quarried away. Some of it's crater was still visible then. Auckland, New Zealand. Aerial photos from retrolens.nz . My 3D model generated with photogrammetry software 3DF Zephyr v4.351 processing 5 images Source: Objaverse 1.0 / Sketchfab
Mt Richmond and McLennan Hills volcanoes 3 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 . This version uses a different set of aerial photos with clearer details. My 3D model generated with photogrammetry software 3DF Zephyr v4.351 processing 5 images Source: Objaverse 1.0 / Sketchfab
Green Hill and Otara Hill volcanoes 1940
Green Hill or Matanginui, and Otara Hill or Te Puke o Tara, volcanic scoria cones and Maori hillforts, in 1940 before they were both quarried away. Green Hill (Greenmount) had a grove of Karaka trees in its summit crater. Quarrying had started on Green Hill's southern side by 1940. Auckland, New Zealand. Green Hill and Otara Hill were also known to European settlers as Styak's Mountain and Smale's Mountain, after the local land owners, and as 'Bessy Bell and Mary Gray', after a Scottish ballad of the same name. Aerial photos from retrolens.nz My 3D scene generated with photogrammetry software 3DF Zephyr v4.009 processing 5 images Source: Objaverse 1.0 / Sketchfab
Occurrence of equatorial plasma bubbles (EPBs) over the Indian region on 15 January 2022 and their plausible connection to the Tonga volcano eruption
<p><span>This study focuses on the causes for the generation of equatorial plasma bubbles (EPBs) over the Indian subcontinent and their correlation with atmospheric-ionospheric disturbances resulting from the eruption of the Tonga volcano on 15 January 2022. Concurrent ionosonde observations obtained from Tirunelveli (8.67<sup>o</sup>N, 77.81<sup>o</sup>E) and Prayagraj (25.41<sup>o</sup>N, 81.93<sup>o</sup>E) show the presence of spread-F traces in ionograms. Notably, the EPBs are also accompanied by plasma blobs (PBs), with their pronounced occurrence during midnight at Prayagraj and Tirunelveli. Analysis of in situ electron density observations obtained from the Swarm B and C satellites reveals substantial plasma density depletions associated with EPBs. An intriguing observation is the intensification of Pre-Reversal Enhancement (PRE) immediately preceding the onset of spread-F at Tirunelveli due to enhanced eastward F region zonal winds by Tonga Volcano, as seen in the satellite observations. Furthermore, the isofrequency analysis from Tirunelveli shows the presence of gravity wave-like oscillations in the equatorial F-region over India. The investigation of Total Electron Content (TEC) obtained from a Pseudo Random Number (PRN)-14 over Indian longitudes suggests the presence of two dominant modes of Traveling Ionospheric Disturbances (TIDs) with speeds ~452 m/s and ~406 m/s having periods in the range of ~65–75 minutes. These observations reaffirm that volcano triggered atmospheric/ionospheric disturbances can propagate long</span><span> distances for several hours</span><span> and can provide necessary seeding conditions for the generation of EPBs.</span></p>
FIGURE 2 in Breathing of the Nevado del Ruiz volcano reservoir, Colombia, inferred from repeated seismic tomography
FIGURE 2: Ancestral biogeographic reconstruction of tropical, temperate and cosmopolitan occurrence of oribatid mites as reconstructed with ancestral character state mapping in Mesquite 3.10 using parsimony algorithms. See text for details. The tree is based on the BI phylogeny of the 18S rRNA and partial 28S rDNA (see Fig. 1).
Data for the article "The Apparent Absence of Kilometer-sized Pyroclastic Volcanoes on Mercury: Are We Looking Right? "
<p>This file contains numerical data which has been used for generation of Figure 1, 2 and 3 in the paper "The Apparent Absence of Kilometer-sized Pyroclastic Volcanoes on Mercury: Are We Looking Right?"</p> <p>The profiles in files associated with Figure 3 are provided for the volume of 4.2 km<sup>3</sup>.</p>
Dataset for lava lake sloshing modes during the 2018 Kilauea Volcano eruption
<p>This repo contains the processed dataset for the paper:</p> <p>Liang, C., and E. M. Dunham, Lava lake sloshing modes during the 2018 Kilauea Volcano eruption probe magma reservoir storativity, <em>Earth and Planetary Science Letters</em>, submitted 27 June 2019, revised 1 November, 2019.</p> <p>In total, 24 very long period (VLP) events are compiled and analyzed. Each .mat file contains the processed dataset for one VLP event with name indicating the event start time in UTC.</p> <p>For example 2018-5-3T3:32:40.mat contains the data for an event occured at 3:32:40 (UTC) on May 3rd, 2018. After loading the dataset into Matlab, it contains a structure named "d" that stores the fields. It contains the resonant mode frequencies, spectrum of the signal, and noises before and after the signals. The extracted surface displacement spectral values at resonant modes at each channel (station+component).</p> <p>For example for event 2018-5-3T3:32:40.mat: </p> <p>d =<br> freqs: [6×1 double]<br> Ts: [6×1 double]<br> spec_signal: [1×1 struct]<br> spec_noise_pre: [1×1 struct]<br> spec_noise_post: [1×1 struct]<br> Us: [33×6 double]<br> noises_pre: [33×6 double]<br> noises_post: [33×6 double]<br> stations: {1×11 cell}<br> SNR_pre: [33×6 double]<br> SNR_post: [33×6 double]<br> locations: [11×3 double]</p>
Kawah Ijen volcano seismic data 2012
<p>Seismic data (vertical channel) from Kawah Ijen volcano at station IJEN. Information regarding the station location and sensor can be found in <a href="https://doi.org/10.1002/2014JB011590">https://doi.org/10.1002/2014JB011590</a>. Data were collected and archived thanks to Devy Syahbana, Suparjan and Bambang Heri Purwanto from CVGHM (Center for Volcanology and Geological Hazard Mitigation).</p>
GPS position time series data for the Tatun Volcano Group (TVG) region
<p>GPS Time Series Data Used in "Transient Deformation in the Tatun Volcano Group, Taiwan: A Spatiotemporal GPS Analysis" by Chang et al.:</p> <p>1. Time series data of six GPS stations in TVO (YM03, YM05, YM06, YM07, YMN4, and YMSM, see Figure 1 of the main text) are included in the zip file "tvo.final_igb14.pos.tar.gz".</p> <p>2. The files are in plain text with the stardard PBO data format (https://www.unavco.org/data/gps-gnss/derived-products/docs/knowledgetree-docs-old/gps_timeseries_format.pdf), which is also listed and explained at the top of each file.</p>
Ancient volcanos as species pumps: A case study of freshwater amphipods in Northeast Asia
<p>Volcano-tectonic processes have been viewed as primary divers in the formation of present-day diversity. Volcanos associated with mountain uplifts drives allopatric speciation through vicariance and may impact the surrounding areas like species pump or species attractor. However, the application of these hypotheses to aquatic fauna has rarely been tested explicitly. We conducted this research in the Changbai Mountains (Mts), which are one of the most typical, active volcanic ranges in Northeast (NE) Asia with a long and turbulent geological history. The <i>Gammarus nekkensis</i> species complex of amphipod crustaceans, widely distributed throughout NE Asia with poor dispersal abilities and a long evolutionary history, is a suitable model for testing these hypotheses. Phylogenetic and ancestral range reconstructions demonstrated that the studied amphipod originated from the Changbai Mts approximately 27 Ma and diverged into eastern (Clade I) and western (Clade II) clades, which corresponds well with the initial volcanic eruption of the Changbai Mts in the Late Oligocene. The subsequent diversifications of subclades CI-3, CII-1a and CII-2a were likely driven by second and third eruptions of the Changbai Mts during the Miocene. In particular, the Changbai lineages had spread to the Russian Far East multiple times since the Early Miocene, and widely colonized the region during the Pleistocene. Our discoveries suggest that the ancient volcanos of the Changbai Mts act as species pumps in NE Asia, resulted in burst of diversification around the Changbai Mts and subsequent dispersals into adjacent regions.</p>
Shear-wave splitting measurements for a 10-year catalogue in Taupō volcano
<p>The dataset provided includes seismic anisotropy results using a 10-year catalogue around Taupō volcano (January 2010 to December 2019). For the seismic anisotropy measurements, we used seismic data from 23 stations managed by GeoNet. The earthquake catalogue for this dataset was determined by Illsley-Kemp et al. (2021) using matched-filtered earthquake detection (Chamberlain & Townend, 2018). The earthquake templates for the matched-filtered detection were obtained from the GeoNet catalogue with revised manual picks. </p> <p>In case you use this data, please cite the following publications:</p> <p>Bakkar, H. (2022). <em>Seismic anisotropy and time-frequency analyses during Taupō's 2019 unrest</em> [Master's thesis, Victoria University of Wellington].</p> <p>Illsley-Kemp, F., Barker, S. J., Wilson, C. J. N., Chamberlain, C. J., Hreinsd ́ottir, S., Ellis, S., Hamling, I. J., Savage, M. K., Mestel, E. R., & Wadsworth, F. B. (2021). Volcanic unrest at Taupo ̄ volcano in 2019: Causes, mechanisms and implications. Geochemistry, Geophysics, Geosystems, e2021GC009803.</p> <p>The data is presented in .csv files, in the same format as MFAST output, (http://mfast-package.geo.vuw.ac.nz), in which each column is:</p> <p>1. Name of the event.</p> <p>2. Station code.</p> <p>3. Station latitude.</p> <p>4. Station longitude.</p> <p>5. Event identification number.</p> <p>6. Year.</p> <p>7. Julian day on which the event occurred, with decimal digits giving the fraction of the day.</p> <p>8. Earthquake latitude in degrees.</p> <p>9. Earthquake longitude in degrees.</p> <p>10. Distance between earthquake and station (km).</p> <p>11. Earthquake depth (km).</p> <p>12. Earthquake magnitude.</p> <p>13. Back azimuth in degrees.</p> <p>14. Initial polarisation of the shear wave in degrees.</p> <p>15. Error of the initial polarisation in degrees, one standard deviation.</p> <p>16. Start time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0.</p> <p>17. End time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0.</p> <p>18. Not used</p> <p>19. Not used</p> <p>20. Signal to noise ratio for this event.</p> <p>21. Delay tome between fast and slow shear wave in seconds.</p> <p>22. Delay time between fast and slow shear wave in seconds.</p> <p>23. Angle of the orientation of the fast shear wave (φ), in degrees from North.</p> <p>24. Error of φ in degrees, one standard deviation.</p> <p>25. Angle of incidence at the station, measured against a horizontal plane in degrees, where 0 means vertical incidence.</p> <p>26. Not used</p> <p>27. Type of measurement. This field contains the measurement code that is used, the number of measurement window start times and the number of window end times.</p> <p>28. Not used</p> <p>29. Not used</p> <p>30. Nyquist frequency of the event in Hz.</p> <p>31. Evaluation of the measurement quality.</p> <p>32. Lower corner frequency of the bandpass filter in Hz.</p> <p>33. Higher corner frequency of the bandpass filter in Hz.</p> <p>34. Angle between the initial polarisation and the fast orientation in degrees.</p> <p>35. Not used</p> <p>36. Not used</p> <p>37. The maximum value of the eigenvalue of the corrected covariance matrix.</p> <p>38. The number of degrees of freedom in the measurement. </p> <p>39. The minimum value of the eigenvalue of the covariance matrix before it was scaled to have the 95% confidence level set to 1.</p> <p>40. The S-wave travel time between the earthquake and the station.</p> <p>41. The dominant frequency in the S wave, determined from the frequency at the maximum spectral amplitude.</p>
Training, Validation and Test Sets for paper 'A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'
<p>Training, Validation and Test Data for model presented in paper 'A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning', submitted to Journal of Geophysical Research: Solid Earth.</p> <p>Files:</p> <p>- train_events_2498.h5 = training set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms)</p> <p>- train_events_2498.pkl = event training set metadata (UTC P-/S-wave phase arrival times)</p> <p>- train_noise_2498.h5 = training set of seismic waveforms (noise sections only, i.e., no event waveforms)</p> <p>- train_noise_2498.pkl = noise training set metadata (UTC time for training noise waveforms)</p> <p>- val_events.h5 = validation set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms)</p> <p>- val_events.pkl = event validation set metadata (UTC P-/S-wave phase arrival times)</p> <p>- val_noise.h5 = validation set of seismic waveforms (noise sections only, i.e., no event waveforms)</p> <p>- val_noise.pkl = noise validation set metadata (UTC time for validation noise waveforms)</p> <p>- test.h5 = test set of seismic waveforms (events and noise)</p> <p>- test_events.pkl = event test set metadata (UTC P-/S-wave phase arrival times for test event waveforms)</p> <p>- test_noise.pkl = noise test set metadata (UTC time for test noise waveforms)</p> <p>- nabro_2011-247.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-04), saved in mseed format (e.g., can be read with obspy)</p> <p>- nabro_2011-269.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-26), saved in mseed format (e.g., can be read with obspy)</p> <p> </p> <p>Further details and code for reading and using these files can be found at the GitHub repo for this paper: <a href="https://github.com/sachalapins/U-GPD">https://github.com/sachalapins/U-GPD</a></p> <p> </p>
Local ground-based geophysical observation data (Borehole tilt, broadband seismic, and infrasound) accompanying the 2018 phreatic eruption at Kusatsu-Shirane volcano (Motoshirane)
<p>A geophysical observation dataset (borehole tilt, broadband seismic, infrasound, and GNSS displacement) accompanying the 2018 phreatic eruption at the Motoshirane cone of the Kusatsu-Shirane volcano. The data was obtained by the local geophysical observation network operated by Kusatsu-Shirane Volcano Observatory, Tokyo Institute of Technology. All time is JST (UTC+9). Terada et al. (2021), Yamada et al. (2021), and Yamada et al. (submitted) describe station locations and instrumentations.</p> <p> </p> <p>Tilt (text files: 20190123_stn_1_Hz.txt)</p> <p>format: yy/mm/dd hour:min sec NS tilt EW tilt</p> <p> </p> <p>Broadband seismic and infrasound waveforms (sac files)</p> <p>(ex: 1801230950_stn_cmp.s)</p> <p>*stn: station name</p> <p>*cmp: component</p> <p> </p> <p>GNSS displacement (pos file)</p> <p>(ex: stn1030_0591.pos)</p> <p>*stn: station name</p> <p>Displacements are calculated by kinematic analysis using 960591 (a GNSS station operated by Geospatial Information Authority of Japan) as a base station. The kinematic analysis was performed on RTKLIB (ver. 2.4.2, Takasu, 2013). See the header for each file for detail.</p> <p> </p> <p> </p> <p>References</p> <p> </p> <p>Terada, A., Kanda, W., Ogawa, Y., Yamada, T., Yamamoto, M., Ohkura, T., et al. (2021). The 2018 phreatic eruption at Mt . Motoshirane of Kusatsu – Shirane volcano, Japan: Eruption and intrusion of hydrothermal fluid observed by a borehole tiltmeter network. Earth, Planets and Space, 73. <a href="https://doi.org/10.1186/s40623-021-01475-4">https://doi.org/10.1186/s40623-021-01475-4</a></p> <p> </p> <p>Takasu, T. (2013), RTKLIB: An Open Source Program Package for GNSS Positioning.</p> <p> </p> <p>Yamada, T., Kurokawa, A. K., Terada, A., Kanda, W., Ueda, H., Aoyama, H., et al. (2021). Locating hydrothermal fluid injection of the 2018 phreatic eruption at Kusatsu-Shirane volcano with volcanic tremor amplitude. Earth, Planets and Space, 73(1), 1–15. https://doi.org/10.1186/s40623-020-01349-1</p>
supplementary data for Bemelmans et al., 2023, High-resolution InSAR reveals localised pre-eruptive deformation inside the crater of Agung volcano, Indonesia.
<p>This repository contains the supplementary materials for the paper "High-resolution InSAR reveals localised pre-eruptive deformation inside the crater of Agung volcano, Indonesia." to be published in JGR: Solid Earth.</p> <p>The dataset contains files assiciated with the StaMPS time series processing. Each dataset has its own folder containing:</p> <ol> <li>*_data.csv : data file containing latitude, longitude, incidence angle, heading and LOS displacement for each acquistion (date is listed in the column name in the format yyyymmdd).</li> <li>parms.mat : parameter file used for StaMPS processing of that dataset</li> </ol> <p>The dataset also contains input and results from the GBIS modelling (/GBIS_results/). the *.inp files are the input files for each model inversion where the letter ('M','T','P','Y', or 'D') refer to the Mogi (point), McTigue (sphere), penny-shaped crack, Yang (ellipsoid), and dyke (also sill) model used for that run. folders with the same name as the *.inp file contain the inversion results (invert_*.mat), a summary table (summary_*.txt) and several figures showing the distribution and convergence of the model inversion.</p> <p>The input for the GBIS inversions is stored in /GBIS_results/INSAR_input/</p> <p>the file <a href="https://zenodo.org/api/files/f30be116-1e2f-4d52-8fcf-a54e11ab691f/matlab_functions.zip?versionId=490de786-f245-45b5-92bb-d2ae0d50be56">matlab_functions.zip </a>contains matlab functions used for data processing, visualisation, storage and conversion.</p> <p>the file <a href="https://zenodo.org/api/files/f30be116-1e2f-4d52-8fcf-a54e11ab691f/GBISv1_1_MJWB.zip?versionId=cec83c81-a0b7-4e4a-8aa8-ac81e32b8772">GBISv1_1_MJWB.zip </a>contains GBIS code adapted by the author to perform statistical analysis of the model inversion, perform region-of-interest based subsampling and store modeled results as shapefiles for further processing.</p> <p> </p>
ScienceDex guides
Understand access before you commit
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.