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{"references": ["[1] Contribution to EPOS-IP WP10 STRAIN PRODUCT, Task 10.6 GNSS Products - Guidelines for DDSS Strain-rate derivation maps, A. Ganas, K. Chousianitis, version: 20 December 2016", "[2] Shen, Z.-K., M. Wang, Y. Zeng, and F. Wang, (2015), Strain determination using spatially discrete geodetic data, Bull. Seismol. Soc. Am., 105(4), 2117-2127, doi: 10.1785/0120140247.", "[3] Veis, G., Billiris, H., Nakos, B., and Paradissis, D. (1992), Tectonic strain in Greece from geodetic measurements, C. R. Acad. Sci. Athens, 67:129\u2014166.", "[4] Anastasiou D., Ganas A., Legrand J., Bruyninx C., Papanikolaou X., Tsironi V. and Kapetanidis V. (2019). Tectonic strain distribution over Europe from EPN data. EGU General Assembly 2019, Geophysical Research Abstracts, Vol. 21, EGU2019-17744-1"]} StrainTool allows the estimation of Strain Tensor parameters, on the Earth's crust, given a list of data points, aka points on the Earth along with their tectonic velocities. Also provided are output parameters related to the plotting of strains/strain-fields using the Generic Mapping Tools software (http://www.soest.hawaii.edu/gmt/ ). The algorithm to calculate horizontal strains (or strain rates) through interpolation of GNSS velocities is based on the Shen et al (2015) method (doi: 10.1785/0120140247) This software package has received funding from the European Union's Horizon 2020 research and innovation programme EPOS under grant agreement N°676564

This dataset compiles SEM images, modelled isopach map and topographic profiles, and data of radiocarbon ages, parameters of Tephra2 and AshCalc codes of Holocene volcanic ashes of of Southern Puna and neighbouring areas (NW Argentina). SEM images detail differences among the Bolsón de Fiambalá, Cerro Blanco and Cueros de Purulla fallout ash deposits. Tephra2 code was used to simulate the ash fallout, and the AshCalc code to compare different methods for ash volume estimates associated with the 4.2 ka cal BP eruption of the Cerro Blanco Volcanic Complex. Topographic profiles are used to explain the secondary thickening of fallout ash deposits. Material suplementario (Figuras S1-S4 y Tablas S1-S4 del artículo Fernandez-Turiel, J.-L.; Perez-Torrado, F. J.; Rodriguez-Gonzalez, A.; Saavedra, J.; Carracedo, J. C., Rejas, M.; Lobo, A.; Osterrieth, M.; Carrizo, J. I.; Esteban, G.; Gallardo, J.; Ratto, N. (2019). The large eruption 4.2 ka cal BP in Cerro Blanco, Central Volcanic Zone, Andes: Insights to the Holocene eruptive deposits in the southern Puna and adjacent regions. Estudios Geológicos 75(1): e088. https://doi.org/10.3989/egeol.43438.515 MINECO, CGL2011-23307, Proyecto QUECA Peer reviewed

Risultati della valutazione del corso "Praticare l'Open Science nelle Scienze della Terra e dell'ambiente"

Background This data is camera images and nozzle pressure gauge voltage traces from rapid decompression shots at the LMU shock tube facility. This data is discussed in the "Materials and Methods" section of the paper "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows". Electric sparks and explosive flows have long been associated with each other. Flowing dust particles originate charge through contact and separate based on inertia, resulting in strong electric fields supporting sparks. These sparks can cause explosions in dusty environments, especially those rich in carbon, such as coal mines and grain elevators. Recent observations of explosive events in nature and decompression experiments indicate that supersonic flows of explosions may alter the electrical discharge process. Shocks may suppress parts of the hierarchy of the discharge phenomena, such as leaders. In our decompression experiments, a shock tube ejects a flow of gas and particles into an expansion chamber. We imaged an illuminated plume from the decompression of a mixture of argon and <100 mg of diamond particles and observe sparks occurring below the sharp boundary of a condensation cloud. We also performed hydrodynamics simulations of the decompression event that provide insight into the conditions supporting the observed behavior. Simulation results agree closely with the experimentally observed Mach disk shock shape and height. This represents direct evidence that the sparks are sculpted by the outflow. The spatial and temporal scale of the sparks transmit an impression of the shock tube flow, a connection that could enable novel instrumentation to diagnose currently inaccessible supersonic granular phenomena. Accessing Data The prefixes of the filenames correspond to the shot dates and times listed in table S1 of the paper. The "_camera.zip" files contains tiff images of the camera frames. The ".ixc" file in each zip lists camera settings in plain text. The ".dat" file contains the voltage measurement of the nozzle pressure gauge. Row 1 is the header, row 2 is the time in seconds, and row 3 is the voltage of the pressure gauge in Volts. The peak pressure in the header can be used to relate the voltage to pressure. This work was performed in part under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344, and Mission Support and Test Services, LLC, under Contract No. DE-NA0003624 with support from the Site-Directed Research and Development program, DOE/NV/03624--0956, and in part by the European Plate Observing Systems Transnational Access program of the European Community HORIZON 2020 research and innovation program under grant N 676564. CC acknowledges the support from the DFG grant CI 25/2-1 and from the European Community HORIZON 2020 research and innovation programme under the Marie Sklodowska Curie grant nr. 705619. LLNL-MI-817289. This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, complete- ness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific com- mercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or Lawrence Livermore National Security, LLC. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or Lawrence Livermore National Security, LLC, and shall not be used for advertising or product endorsement purposes. {"references": ["C. Cimarelli, M. Alatorre-Ibargengoitia, U. Kueppers, B. Scheu, D. Dingwell, Experimen- tal generation of volcanic lightning. Geology 42, 79\u201382 (2014)"]}

{"references": ["[1] Contribution to EPOS-IP WP10 STRAIN PRODUCT, Task 10.6 GNSS Products - Guidelines for DDSS Strain-rate derivation maps, A. Ganas, K. Chousianitis, version: 20 December 2016", "[2] Shen, Z.-K., M. Wang, Y. Zeng, and F. Wang, (2015), Strain determination using spatially discrete geodetic data, Bull. Seismol. Soc. Am., 105(4), 2117-2127, doi: 10.1785/0120140247.", "[3] Veis, G., Billiris, H., Nakos, B., and Paradissis, D. (1992), Tectonic strain in Greece from geodetic measurements, C. R. Acad. Sci. Athens, 67:129\u2014166.", "[4] Anastasiou D., Ganas A., Legrand J., Bruyninx C., Papanikolaou X., Tsironi V. and Kapetanidis V. (2019). Tectonic strain distribution over Europe from EPN data. EGU General Assembly 2019, Geophysical Research Abstracts, Vol. 21, EGU2019-17744-1", "[5] Anastasiou D., Papanikolaou X., Ganas A., Paradissis D. (2019). StrainTool: A software package to estimate strain tensor parameters (Version v1.0). DOI: 10.5281/zenodo.1297565"]} StrainWebTool is a web application developed to estimate strain tensor parameters using StrainTool Software. The development of the application was based on Flask microframework for Python. Bootstrap open source toolkit was used to enable a responsive web design and Leaflet open-source JavaScript library for producing interactive maps.

The models can be used for global-local modelling and simulation of destress blasting of rock mass near mine. The data combines three separate 3D solutions: the first was obtained for the small-scale problem – face(s) blasting process, and the second for the global scale problem – seismic wave propagation within very large volume of surrounding rock mass and the last one was obtained for a quasi-2D problem.

We are grateful to the officers and crew of the Spanish vessels 'R/V Hesperides' and 'R/V Las Palmas', the personnel of the Marine Technology Unit (UTM), the military personnel of the 'Gabriel de Castilla' Spanish base, and the members of the TOMODEC Working Group. This manuscript has been partially funded by the following research projects: the Spanish project TEC2015-68752-R (MINECO/FEDER); KNOWAVES; the Spanish Education and Research Ministry grants REN 2001-3833, CGL2005-05789-C02-02/ANT, POL2006-08663, and CGL2008-01660; the U.S. National Science Foundation grant ANT-0230094; the European project MED-SUV funded by the European Union's Seventh Framework Program for research, technological development and demonstration under grant agreement No 308665; the European project EPOS; the European Union's Horizon 2020 research and innovation programme under grant agreement No 676564; and the U.S. National Science Foundation grant NSF-1521855 Hazard SEES project. Ocean bottom seismometers were provided by the U.S National Oceanographic Instrument Pool. This publication reflects only the authors' views. The European Commission is not responsible for any use that may be made of the information it contains. Deception Island volcano (Antarctica) is one of the most closely monitored and studied volcanoes on the region. In January 2005, a multi-parametric international experiment was conducted that encompassed both Deception Island and its surrounding waters. We performed this experiment from aboard the Spanish oceanographic vessel 'Hesperides', and from five land-based locations on Deception Island (the Spanish scientific Antarctic base 'Gabriel de Castilla' and four temporary camps). This experiment allowed us to record active seismic signals using a large network of seismic stations that were deployed both on land and on the seafloor. In addition, other geophysical data were acquired, including bathymetric high precision multi-beam data, and gravimetric and magnetic profiles. To date, the seismic and bathymetric data have been analysed but the magnetic and gravimetric data have not. We provide P-wave arrival-time picks and seismic tomography results in velocity and attenuation. In this manuscript, we describe the main characteristics of the experiment, the instruments, the data, and the repositories from which data and information can be obtained. Spanish Education and Research Ministry REN 2001-3833 CGL2005-05789-C02-02/ANT POL2006-08663 CGL2008-01660 European project MED-SUV - European Union's Seventh Framework Program 308665 National Science Foundation (NSF) ANT-0230094 NSF-1521855 MINECO/FEDER TEC2015-68752-R European Union (EU) 676564 European project EPOS KNOWAVES

StrainTool allows the estimation of Strain Tensor parameters, on the Earth's crust, given a list of data points, aka points on the Earth along with their tectonic velocities. Also provided are output parameters related to the plotting of strains/strain-fields using the Generic Mapping Tools software (http://www.soest.hawaii.edu/gmt/ ). Significant update at second invariant calculation formula at version 1.0-rc2.0.