Find research datasets worth reusing

opencc-by-4.0Apr 2020View details →

Climatic and societal impacts of a "forgotten" cluster of volcanic eruptions in 1108-1110 CE

This repository contains all the tree-ring and historical archives used by Guillet et al. (2020) to assess the climatic impacts of the 1108-1110 CE volcanic eruptions For more information, we refer the user to the readme file entitled "Guillet_et_al_SciReports2020_Readme.txt" We note that investigations of European historical archives are still carried ongoing. The file entitled "Guillet_et_al_SciReports2020_Supp_Info_Table_S1_S2_Historical_Sources.xlsx" will be updated as new material is discovered. We welcome every addition or contribution that may help to extend the number of historical sources available and better document the climatic and societal response to the 1108-1110 CE cluster of eruptions. Thank you ;-)!

opencc-by-4.0Mar 2024View details →

Field data collected from pyroclastic and lahar deposits of the 472 AD (Pollena) and 1631 Vesuvius eruptions

Field data collected from pyroclastic and lahar deposits of the 472 AD (Pollena) and 1631 Vesuvius eruptions Mauro A. Di Vito1, Ilaria Rucco2, Sandro de Vita1, Domenico M. Doronzo1, Marina Bisson3, Elena Zanella4 1 Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Napoli, Italy 2 Heriot-Watt University, School of Engineering and Physical Sciences, Edinburgh, United Kingdom 3 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy 4 Università di Torino, Dipartimento di Scienze della Terra, Torino, Italy   This dataset is organized in an Excel file, and it includes all the data collected and reviewed during the last 20 years from drill cores, outcrops, archaeological excavations, stratigraphic trenches, and the existing literature. It focuses on the primary (pyroclastic) and secondary (lahar) deposits of the 472 AD (Pollena) and 1631 eruptions from the Somma-Vesuvius volcano. The aim is to collect stratigraphic, stratimetric, sedimentological, lithological and chronological data to generate distribution maps and to validate the numerical simulations and models for the risk assessment. In particular, this dataset is complementary to – and in support of – the full work by Di Vito et al. (2024), in which the distribution of those deposits all around the Somma-Vesuvius complex and further is presented and discussed. Such dataset was used to inform the shallow-water model of lahars by de’ Michieli Vitturi et al. (2024), which in turns was used by Sandri et al. (2024) to elaborate probabilistic maps of lahar invasion in the Somma-Vesuvius and Apennine areas. All the data are organized in columns: the first four aim to identify the sites, and so there is a numeric identification code (ID), the name of the site (NAME), and the metric coordinates (East-North) in the UTM WGS 84 – Zone 33 reference projection (X, Y). The last two columns are “MUNICIPALITY” and “PROVINCE” and give a spatial location to the points. For the two eruptions, several columns have been created: ·       “472_PRIM”, “1631_PRIM” and “472_ASH” and “1631_ASH” indicate, respectively, the fallout primary deposits of the eruptions and the primary ash, particularly the ash related to the last phases of the eruptions (generally phreatomagmatic). ·       “472_SYN” and “1631_SYN” indicate the syn-eruptive lahars related to the two eruptions, recognized from the similar composition between the primary deposit and the lahar and from the evidence of a short-term exposure between the two. ·       “472_POST” AND “1631_POST” indicate the post-eruptive lahars related to the two eruptions. They are considered “post” when in the deposit there are pumices belonging to older eruptions, indicating their involvement in the progressive erosion of the slopes and valleys, and when there is evidence of long periods without deposition, such as the presence of slightly humified surfaces or traces of human artifacts (excavations, ploughing). ·       “EROSION_fallout_472” refers to the sites where it was possible to find erosional unconformities between the pyroclastic deposit of the 472 AD eruption and the lahar, as well as between the lower and upper lahar flow units. The erosional features are for example the lack of one or more primary eruptive layers (eroded by the overlying deposit), a change in the granulometry, or lateral discontinuity of the deposit. ·       “Pdyn (kPa)”, “v (m/s)”, “C (%)” and “T” are all the parameters quantified to validate the numerical models and to assess the hazard from lahars. Pdyn is the flow dynamic pressure, which represents the capability of the flow to entrain a clast, and it depends on the velocity (v) and the flow density, which in turn results from a combination of the density of the particles and the water through the “C (%)”, that is the particle volume concentration. To calculate the flow dynamic pressure and the velocity, the parameters taken into account are the dimensions of the biggest clasts and the nature of the clasts (limestone, ceramic, brick, tephra, lava, sandstone, iron) found in the lahar deposits. The concentration is estimated considering some sites in which the flow expands in correspondence with some obstacles (for example a Roman wall). This can be assumed to be the initial height of the flow before the emplacement. Finally, “T” refers to the estimated deposition temperature of the deposit quantified by the magnetic analysis, in particular in some sites where the lahar interacted with anthropogenic structures. ·       “DEPOSIT (472)” indicates the type of lahar deposit (syn- or post-eruptive) of the 472 AD eruption in which the fragments were found. ·       “MULTIPLE LAHAR UNITS” indicates the sites in which multiple flow units are vertically identified in the lahar deposits. They are generally a result of rapid and progressive aggradation of multiple flow pulses, each one resulting from single-pulse “en masse” emplacement.

opencc-by-4.0May 2024View details →

Data for: Impact of SO2 injection profiles on simulated volcanic forcing for the Sarychev 2009 eruptions - investigating the importance of using high vertical resolution methods when compiling SO2 data

The files are data assosicated with the study High-resolution stratospheric volcanic SO2 injections in WACCM. The files are associated with four differnt simulaions described in the paper: M16, S21-1D, S21-3D and No-Volc. The files with "input" in the name are the SO2 input files used in the WACCM (Whole Atmosphere Community Climate Model) simulations in the paper. The files with "monthly_averages" in the filenames are monthly averages of model output data the variables used in the paper.  The CALIOP_monthly_averages.nc file is monthly average of the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) satellite data used in the study to evaluate the WACCM simulations.

opencc-by-4.0Jul 2023View details →

Accessible Oceans: Auditory Display. 2015 Axial Seamount Eruption

The ten tracks make up an auditory display of the 2015 Axial Seamount Eruption. The ten tracks in the auditory display are comprised of data sonifications and contextual audio supports (dialogue, auditory icons, and music). You may <a href="https://samply.app/p/qRKlQUoRe1n8TWDZOhTn">listen online here</a>. The data comes from the National Science Foundation (NSF) Ocean Observatories Initiative (OOI) and the display is based on the OOI Nugget developed by Dr. Leslie Smith. (<a href="https://datalab.marine.rutgers.edu/ooi-nuggets/axial-eruption/">https://datalab.marine.rutgers.edu/ooi-nuggets/axial-eruption/</a>) The “Accessible Oceans” AISL Pilots and Feasibility study aims to inclusively design auditory displays that support the perception and understanding of ocean data in informal learning environments (ILEs). More can be found on the project website: <a href="https://accessibleoceans.whoi.edu/">https://accessibleoceans.whoi.edu/</a>

opencc-by-4.0Dec 2022View details →

Digital Elevation Models of Hunga Volcano; pre- and post- 15 January 2022 eruption

This dataset contains digital elevation models (DEM) of the Hunga Volcano complex. The first is a pre-2022 eruption elevation model. The second is a post-2022 eruption elevation model.Hunga Volcano is a volcanic complex near the island of Tongatapu in the Kingdom of Tonga. The volcano rises from ~2,500 m depth, a caldera at its summit, and two islands, Hunga Tonga and Hunga-Ha'apai, at the on the rim of the caldera. An eruption during December 2014-January 2015 was centered between the islands and combined them into one larger structure named Hunga Tonga – Hunga Ha'apai (HTHH).  HTHH erupted violently on 15th January 2022, sending large clouds of ash into the atmosphere, triggering a tsunami, and reducing the size of the islands of Hunga Tonga and Hunga Ha'apai.As a result of this event, the NIWA-Nippon Foundation Tonga Eruption Seabed Mapping Project (TESMaP) is a multidisciplinary research plan involving geological, oceanographic and biological studies that centered around three objectives:<ol><li>To determine the impacts of volcanic ash on ocean productivity, species composition, and biogeochemical cycling in the water column.</li><li>To determine the immediate nature and extent of the impact of ash fall/turbidity flows on deep-sea sediments and benthic ecosystems.</li><li>To determine the recovery potential of the deep-sea ecosystem.</li></ol>This project involved two survey voyages of the volcano and its surrounding waters. The first was carried out from RV Tangaroa in April and May 2022 (Mackay et al., 2022) and the second was carried out by the USV Maxlimer in August 2022.TESMaP was funded from a combination of sources including The Nippon Foundation, Japan; the Natural Environmental Research Council, UK, Japan Agency for Marine Earth Science and Technology, the Tangaroa Reference Group (TRG) for ship time and the NIWA Oceans Centre. Support was given by The Nippon Foundation Seabed 2030 project and by GEBCO Alumni.

opencc-by-sa-4.0May 2020View details →

Hourly non-gridded volcanic ash properties retrieved from SEVIRI measurements for the Eyjafjallajökull 2010 eruption

- Publishing date:   14.05.2020 - Title:   Hourly non-gridded volcanic ash properties retrieved from SEVIRI   measurements for the Eyjafjallajökull 2010 eruption   - Authors of data set:   Arve Kylling (aky@nilu.no), NILU - Norwegian Institute for Air Research   Espen Sollum, NILU - Norwegian Institute for Air Research - Description:   Ash satellite detection and retrievals were made using infrared   measurements by SEVIRI on board the MSG-2 satellite. MSG-2 is   geostationary, centred at approximately 0N latitude, and has a 70   degree view coverage (Schmetz et al., 2002). Pixel resolution is 3 ×   3 km at nadir, while at the edge of the coverage it increases to 10   × 10 km. Observations are available every 15 min. Pixels are   identified as containing ash if the brightness temperature   difference (BTD) between the SEVIRI 10.8 and 12.0 μm channels   (Prata, 1989) is below a certain threshold value, here −0.5 K. The   BTDs have been adjusted for water vapour absorption using the approach of   Yu et al. (2002). Ash clouds give negative BTDs, ice give positive   BTDs, and BTDs of water clouds are closer to zero. The ash mass   loading and effective ash particle radius are retrieved as described   in Kylling et al. (2015). The retrieval is based on a modification   of the Bayesian optimal estimation technique used by Francis et   al. (2012). We assume andesite ash with refractive index from Pollack   et al. (1973), spherical ash particles, and a lognormal size   distribution. The lognormal size distribution is described by the   geometric mean radius and the geometric standard deviation. The data   set includes retrievals for geometric standard deviation of 1.5,   1.75, 2.0, and 2.25, which is a subset of the values used by Francis   et al. (2012). The data set has been used by Steensen et al. (2017).   Data comes as hourly files broadly covering Iceland, Europe and the   surrounding oceans. The files are in bzip2 netcdf-format which   should be self-explanatory.   - Version:   1.0 - Language:   English - Keywords   Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010 - Additional notes   None - Access right:   Open access - License:   CC BY-SA 4.0   - Funding:   Partly funded by the Norwegian ash project financed by the Norwegian   Ministry of Transport and Communications and Avinor.  - References:   Francis, P. N., Cooke, M. C., and Saunders, R.W.: Retrieval of   physical properties of volcanic ash using Meteosat: A case study   from the 2010 Eyjafjallajokull eruption, J. Geophys. Res. Atmos.,   117, D00U09, https://doi.org/10.1029/2011JD016788, 2012.   Kylling, A., Kristiansen, N., Stohl, A., Buras-Schnell, R., Emde,   C., and Gasteiger, J.: A model sensitivity study of the impact of   clouds on satellite detection and retrieval of volcanic ash, Atmos.    Meas. Tech., 8, 1935-1949, https://doi.org/10.5194/amt-8-1935-   2015, 2015.      Pollack, J. B., Toon, O. B., and Khare, B. N.: Optical properties of   some terrestrial rocks and glasses, Icarus, 19, 372-389,   https://doi.org/10.1016/0019-1035(73)90115-2, 1973.    Prata, A. J.: Observations of volcanic ash clouds in the 10-12 um   window using AVHRR/2 data, Int. J. Remote Sens., 10, 751-761,   1989.   Schmetz, J., Pili, P., Tjemkes, S., and Just, D.: An introduction to   Meteosat second generation (MSG), B. Am. Meteorol. Soc., 83,   977-992, 2002.      Steensen, B. M., Kylling, A., Kristiansen, N. I., and Schulz, M.:   Uncertainty assessment and applicability of an inversion method for   volcanic ash forecasting, Atmos. Chem. Phys., 17, 9205-9222,   https://doi.org/10.5194/acp-17-9205-2017, 2017.    Yu, T., Rose, W. I., and Prata, A. J.: Atmospheric correction for   satellite-based volcanic ash mapping and retrievals using "split   window" IR data from GOES and AVHRR, J. Geophys. Res. Atmos., 107,   https://doi.org/10.1029/2001JD000706, 2002.

opencc-ncOct 2023View details →

Digital Elevation Models (DEMs) and lava outlines from the 2023 Litla-Hrútur eruption, Iceland, from Pléiades satellite stereoimages

Introduction:On the 10th of July 2023, at 16:40, an eruption started in the Reykjanes Peninsula, Iceland, next to the mountain "Litla-Hrútur". As part of the response, the CIEST2 french initiative was activated (Gouhier et al., 2022). Once activated, Pléiades stereoimages were tasked and scheduled for fast delivery within the area of Interest. On the 20th of August 2023 an additional stereopair of images from Pléiades was acquired and processed after the eruption had stopped.Once acquired and delivered, the Pléiades images were processed following the methods described in the section below. This repository contains the near-real time results of DEMs, difference maps compared to a pre-eruption DEM, and lava outlines digitized from the difference map and the orthoimage. Methods:The Pléiades stereoimages were processed using the Ames StereoPipeline (ASP, Shean et al., 2016, see ASP branch in repository), yielding a DEM in 2x2m GSD and an orthoimage in 0.5x0.5m GSD. The processing was done using as only input the stereoimages and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereoimages, yielding a pointcloud which is then interpolated using the routine point2dem. Besides default parameters, the parallel_stereo parameters used for creation of the DEMs were the standard parameters, plus the following ones: --stereo-algorithm asp_mgm --corr-tile-size 300 --corr-timeout 900 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15Once the DEM was created, DEM co-registration was applying in order to align and minimize positional biases between the pre-eruption DEM and the Pléiades DEMs. We followed the co-registration method of Nuth & Kääb (2011), implemented by David Shean's co-registration routines (<a href="https://github.com/dshean/demcoreg">https://github.com/dshean/demcoreg</a>, Shean et al., 2016). The co-registration involved a horizontal and vertical shift of the Pléiades DEMs, as well as a planar tilt correction. The horizontal offset obtained from the DEM co-registration was also applied to the Pléiades orthoimages.The pre-eruption DEM used for this study is a survey done on the 27th of September 2022, data collected Birgir Óskarsson and Robert A. Askew (Icelandic Institute of Natural History) and processed by Sydney R. Gunnarsson and Joaquín M.C. Belart (National Land Survey of Iceland). Metadata of this dataset is available here: https://gatt.lmi.is/geonetwork/srv/eng/catalog.search#/metadata/c59da6cf-18ee-44af-a085-afbad0de029aLava outlines were manually digitized from the co-registered Pléiades orthoimages, The lava outlines are available as GeoPackages in the "GPKG" branch of the repository.At the moment, the results from Pléiades are used by the Institute of Earth Sciences of the Univesity of Iceland (Jarðvisindustofnun Háskoli Íslands) to estimate lava volumes and effusion rate, following the methods described in Pedersen et al. (2022). Please contact the authors if these data are intended to be used for a similar purpose, in order to avoid conflict of interests or duplicate work. We encourage collaboration and data sharing for the purpose of the monitoring of the eruption and for research applications.Data naming convention:faf_YYYYMMDD_hhmmss_hhmmss_*align.tif: DEM obtained from the processing, co-registered to the reference pre-eruption DEM.faf_YYYYMMDD_hhmmss_hhmmss_*align_diff.tif: Difference of elevation between the Pléiades DEM and the pre-eruption DEM.faf_YYYYMMDD_hhmm.gpkg: Polygon containing the lava outlines, extracted from the Pléiades orthoimage and the map of elevation difference.0_faf_YYYYMMDD_hhmmss_hhmmss_*fig.png: A figure showing the latest map of elevation difference, overlaid with a hillshade of the latest Pléiades DEM and the latest lava outlines, result of the processing of the Pléiades stereoimages. The figure was created using the tool imviewer.py from the GitHub repository https://github.com/dshean/imview (Shean et al., 2016).Data Specifications:<ul><li>Cartographic projection: ISN93 / Lambert 1993 (EPSG:3057, <a href="http://https:/epsg.io/3057">https://epsg.io/3057</a>)</li><li>Origin of Elevation: meters above GRS80 ellipsoid (WGS84)</li><li>Raster data format: GeoTIFF</li><li>Raster compression system: LZW</li><li>Vector data format: GeoPackage (<a href="https://www.geopackage.org/">https://www.geopackage.org/</a>)</li><li>Pléiades dataset includes only DEMs because the Pléiades ortho imagery is for licensed use only. Please contact the authors for further information on this.</li></ul>Acknowledgements: Pléiades images from July 2023 were provided under the CIEST² initiative (CIEST2 is part of ForM@Ter (<a href="https://en.poleterresolide.fr/">https://en.poleterresolide.fr/</a>). Pléiades images from August 2023 were provided under the CEOS Volcano Supersite (https://ceos.org/ourwork/workinggroups/disasters/gsnl/). Image Pléiades©CNES2023, distribution AIRBUS DS.Dataset Attribution:This dataset is licensed under a <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons CC BY-NC 4.0 International License</a> (Attribution-NonCommercial).Citation:Please cite this repository as described below:Joaquin M.C. Belart, Virginie Pinel, Hannah. I. Reynolds, Etienne Berthier, & Sydney R. Gunnarson. (2023). Digital Elevation Models (DEMs) and lava outlines from the 2023 Litla-Hrútur eruption, Iceland, from Pléiades satellite stereoimages (1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10133203

opencc-by-4.0Apr 2024View details →

Pre-eruptive mingling simulations - Zaro eruption, Ischia

Pre-eruptive mingling dynamics in the feeding system of the Zaro eruption at Ischia (<a href="https://link.springer.com/article/10.1007/s00531-020-01933-6" target="_blank" rel="noopener">Pelullo et al., 2020)</a> is modeled using <a href="../record/5031825#.YgP13vso89k" target="_blank" rel="noopener">MagmaFOAM</a>.

opencc-by-4.0May 2024View details →

Exploiting the Greenland volcanic ash repository to date caldera-forming eruptions and widespread isochrons during the Holocene

Polar ice-cores have long been recognised as unrivalled repositories of past volcanic events. Although tephra products from local eruptions tend to dominate these records, improvements in micro-sampling and analytical techniques are uncovering a growing number of cryptotephras erupted from exceptionally distant volcanoes. We present a series of nine Middle Holocene cryptotephra deposits detected within the NGRIP ice-core that originate from five different volcanic regions across the Northern Hemisphere (Alaska, Cascades, Iceland, Japan, Kamchatka). Unique compositional signatures are employed to identify ash from three large caldera-forming events in Kamchatka (KS2 from Ksudach), the Cascades (Mazama) and North East Japan (Mashu), along with ash from the Hekla 4 eruption in Iceland. High-precision ice-core ages (adopting a 1950 datum for the GICC05 timescale assigned to the Greenland ice cores) are derived for each eruption: Hekla 4 (4325 ± 8 a b1.95k), KS2 (7089 ± 26 a b1.95k), Mashu (i-f) (7473 ± 33 a b1.95k) and Mazama (7562 ± 35 a b1.95k), all of which can be employed as chronological fix-points in other proxy records where these deposits are also preserved. Four further cryptotephra deposits and one macro-deposit (in the GRIP ice core) are also identified and traced to sources in Iceland and Alaska. The cryptotephra originating from Alaska is correlated to a deposit identified in lake records from the Kenai Peninsula, thought to originate from Redoubt Volcano. The remaining four deposits are typical of the products of Katla, Grímsvötn and Veiðivötn in Iceland. This ensemble of mid-Holocene tephra deposits highlights the pivotal position of the Greenland ice-sheet and its ice-cores to capture deposition from the convergence of several far-travelled ash clouds. Precise age estimates derived from the annually resolved ice-core record greatly enhances the value of these tephra isochrons.

opencc-by-4.0May 2022View details →

Digital Elevation Models, orthoimages and lava outlines of the 2021 Fagradalsfjall eruption: Results from near real-time photogrammetric monitoring

This repository contains the data behind the work described in Pedersen et al (in review), specifically the Digital Elevation Models (DEMs), orthoimages and lava outlines created as part of the near-real time monitoring of the Fagradalsfjall 2021 eruption (SW-Iceland). The processing of the data is explained in detail in the Supplement S2 of Pedersen et al (2022). The data derived from Pléiades surveys includes only the DEMs and the lava outlines. The Pléiades-based orthoimages are subject to license. Please contact the authors for further information about this. Convention for file naming: Data: DEM, Ortho, Outline YYYYMMDD_HHMM: Date of acquisition Platform used: Helicopter (HEL), Pléiades (PLE), Hasselblad A6D (A6D) Origin of elevations in DEMs: meters above ellipsoid (zmae) Ground Sampling Distance: 2x2m (DEM) and 30x30cm (Ortho) Cartographic projection: isn93 (see cartographic specifications for further details)   Cartographic specifications: Cartographic projection: ISN93/Lambert 1993 (EPSG: 3057, https://epsg.io/3057) Horizontal and vertical reference frame: The surveys after 18 April 2021 are in ISN2016/ISH2004, updated locally around the study area in April 2021 (after pre-eruptive deformations occurred). The rest of the surveys of late March and early April were created using several floating reference systems (see Supplement S3 for details), since no ground surveys were available during the first weeks of the data collection. The surveys of 23 March 2021, 31 March 2021 were re-procesed in Gouhier et al., 2022, using the survey done on 18 May 2021 as reference. Origin of elevations: Ellipsoid WGS84 Raster data format: GeoTIFF Raster compression system: ZSTD (http://facebook.github.io/zstd/) Vector data format: GeoPackage (https://www.geopackage.org/)

opencc-by-4.0Jul 2023View details →

Self-supervised learning of seismological data reveals undocumented eruptive sequences at the Mayotte submarine volcano - Supplementary Materials

The following files are shared:                 - The scripts used to train the model and generate the figures of the article                 - The input images used to train the model as well as the final outputs (embedding matrix and the associated filenames matrix)                 - The clusters organization with their associated images

opencc-by-4.0Mar 2020View details →

Data for "Volcano-tectonic interactions at Sabancaya volcano, Peru: Eruptions, magmatic inflation, moderate earthquakes, and fault creep"

Data and models presented in the paper "Volcano-tectonic interactions at Sabancaya volcano, Peru: Eruptions, magmatic inflation, moderate earthquakes, and fault creep".  See file "README.txt" for detailed descriptions of each item.

opencc-by-4.0May 2020View details →

Waveforms, relocated earthquake and matched filter catalog of seismic swarm preceding the 2017 Mount Agung eruption

Datasets for the manuscript: Sianipar, D., Ulfiana, E., and Sipayung, R. (2020), Seismic swarm preceding the 2017 Mount Agung eruption in Bali (Indonesia) enhanced by the matched filter approach (submitted) (preprint is available at EarthArxiv: <a href="https://eartharxiv.org/a7yx2/">https://eartharxiv.org/a7yx2/</a>) by Dimas Sianipar, Emi Ulfiana, and Renhard Sipayung (STMKG, BMKG, Indonesia). Files including: 1) List of continuous waveforms 2) HypoDD files: dt.cc, dt.ct, event.dat, hypoDD.reloc, phase.dat 3) Processed (filtered) 407 template waveforms 4) BMKG catalog 5) MFT catalog in ZMAP format 6) Table S1: template candidates 7) Table S2: MFT catalog The compressed file (*.rar) has been successfully extracted in Ms. Windows OS using WinRAR.

opencc-by-4.0May 2020View details →

Three-hourly gridded volcanic ash emissions for the Eyjafjallajökull 2010 eruption

Forward simulations of the Eyjafjälla 2010 eruption with unit emissions. These files are used to create an emission estimate of a volcanic eruption. Each file corresponds to an individual emission time point, and contains 19 individual emission simulations. Each emission simulation emits 1 teragram of ash into a unique vertical level of the model. The levels are labeled L01 .. L19, and designate level number from the top of the atmosphere (top of level 1 is close to 130 hPa or around 14 km ASL). The hybrid sigma levels are defined in Vertical_levels_22_650m.txt.  The files were created using eEMEP Unimod_ASH compiled by Alvaro Valdebenito (module  cams50/201809) on the Nebula supercomputer.

opencc-by-4.0Jul 2020View details →

Pre-eruption InSAR time-series at Kīlauea (Hawai`i, USA): COSMO-SkyMed Descending 2018

InSAR time-series data for Kīlauea (Hawai`i, USA), between Jan 2010 and Sep 2011 . Data were obtained by processing COSMO-SkyMed descending SAR data (track 165). Data were processed using the JPL-developed InSAR Scientific Computing Environment (<code>ISCE</code>) open-source software package, and further time-series analysis was performed using the <code>MintPy</code> software toolbox (<a href="https://github.com/insarlab/MintPy">Miami INsar Time-series software in PYthon</a>), developed at the University of Miami.  The following file is available in Hierarchical Data Format: <code>geo_timeseries_tropHgt_demErr_cskDT165.h5</code>: Descending Track timeseries file. Dates available: <code>['timeseries-20101001', 'timeseries-20101009', 'timeseries-20101017', 'timeseries-20101025', 'timeseries-20101102', 'timeseries-20101110', 'timeseries-20101118', 'timeseries-20101126', 'timeseries-20101204', 'timeseries-20101212', 'timeseries-20101220', 'timeseries-20110129', 'timeseries-20110206', 'timeseries-20110214', 'timeseries-20110222', 'timeseries-20110302', 'timeseries-20110303', 'timeseries-20110310', 'timeseries-20110318', 'timeseries-20110319', 'timeseries-20110322', 'timeseries-20110326', 'timeseries-20110403', 'timeseries-20110404', 'timeseries-20110407', 'timeseries-20110411', 'timeseries-20110419', 'timeseries-20110420', 'timeseries-20110423', 'timeseries-20110505', 'timeseries-20110506', 'timeseries-20110509', 'timeseries-20110513', 'timeseries-20110521', 'timeseries-20110522', 'timeseries-20110525', 'timeseries-20110529', 'timeseries-20110606', 'timeseries-20110607', 'timeseries-20110614', 'timeseries-20110622', 'timeseries-20110630', 'timeseries-20110708', 'timeseries-20110709', 'timeseries-20110716', 'timeseries-20110724', 'timeseries-20110725', 'timeseries-20110801', 'timeseries-20110809', 'timeseries-20110810', 'timeseries-20110817', 'timeseries-20110825', 'timeseries-20110826', 'timeseries-20110902', 'timeseries-20110910', 'timeseries-20110918']</code>   These data are supplemental to: Farquharson, J. I. and Amelung, F. [2020], "Extreme rainfall triggered the 2018 rift eruption at Kīlauea Volcano." <a href="https://doi.org/10.1038/s41586-020-2172-5">https://doi.org/10.1038/s41586-020-2172-5</a>

opencc-by-4.0Dec 2020View details →

Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands

Key datasets associated with the 'Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands'. This are pre-eruption and co-eruption interferograms, IGUANA earthquake catalogue, list of earthquake times and magnitudes picked from station VCH1, and cGPS baseline timeseries.

opencc-by-4.0Nov 2023View details →

CAIRT FL2S Results of Case Study Scenario 4 (CSS4) for Volcanic Eruption

Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.

opencc-by-4.0Dec 2019View details →

Figure 17 in Microscopic analysis of the developing dentition in the pouch young of the extinct marsupial Thylacinus cynocephalus, with an assessment of other developmental stages and eruption

Figure 17. Selected dentaries of Thylacinus showing differences in the diastemata between the premolars as the effect of increasing age. A, subadult (in labial view) with m3 erupted, but not m4. Only slight suggestions of diastemata are evident between the premolars; B (lingual view) and C (labial view), showing later stages of m4 eruption and the increase of diastemata in adults.

opencc-by-4.0Dec 2019View details →

Figure 16 in Microscopic analysis of the developing dentition in the pouch young of the extinct marsupial Thylacinus cynocephalus, with an assessment of other developmental stages and eruption

Figure 16. Later stages of early eruption in Thylacinus showing the presence and early loss of dp3 in the dentary. A, Part of the dentary (CU A6 7/10), redrawn from Moeller (1968), showing the erupted dp3, the unerupted successor p3 in its alveolar crypt, immediately anterior to dp3, and the erupting m1. The erupting dp1 and dp2 are also labeled; B, A slightly later stage of eruption in the dentary (USNM 115365) shows that the dp3 has been lost, and successor p3 is in early eruption. The m1 is now almost completely erupted. c indicates lower successional canine in B.