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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

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)"]}

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

{"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.

Fair and sustainable production of raw materials is one of the main challenges faced by our society. Through its RawMaterials Programme, the European Institute of Technology (EIT) encourages research and innovation solutions for mineral exploration to make them safer, sustainable and cost-effective. The SIT4ME project, funded by EIT, addresses these objectives by undertaking seismic mineral exploration methods in crystalline tectonic settings, at a reduced cost. The SIT4Me project will analyse the efficiency of passive seismic methods (i.e. ambient noise interferometry) for subsurface imaging, by comparing active- and passive-source datasets in mining areas. The files in this dataset correspond to the controlled-source acquisition. The acquired data comprises 2D/3D and 3C components. The acquisition employed 647 seismic receivers, distributed in a 3D mesh around the target and along six 2D crooked lines sampling the study area. The source employed was a 32 t vibroseis truck, operating at c. 900 points in the pathways along the 2D profiles. Each vibration point was used three times, with frequency sweeps of 10-100 Hz. European Institute of Innovation & Technology, Grant number EIT 17024, SIT4ME project Peer reviewed

The SHAPEness Metadata Editor is a Java desktop application conceived to help users creating and updating RDF metadata descriptions. It provides a rich user interface which allows users to easy populate and validate metadata, structured as graphs, against a set of SHACL constraints. The SHAPEness Metadata Editor has been developed in the framework of the European Plate Observing System (EPOS) where an extension of DCAT-AP, called EPOS-DCAT-AP, was created. As it is a SHACL-driven Metadata Editor, it is suitable for all kinds of domains or use cases which structure their knowledge by means of SHACL constraints. Version 1.2.1 Authors: Rossana Paciello (rossana.paciello@ingv.it) and Valerio Vinciarelli (valerio.vinciarelli@epos-eric.eu) Licensed under GPLv3 Download binary release: https://github.com/epos-eu/SHAPEness-Metadata-Editor/releases/tag/1.2.1

La construction du réseau sismologique et géodésique français Résif a été lancée en 2009 pour fédérer, moderniser et développer les moyens d’observation géophysique de la Terre interne. Cette infrastructure de recherche nationale est aujourd'hui intégrée à l'infrastructure européenne EPOS et participe activement à sa réalisation et à son évolution. Par ailleurs, certaines composantes de Résif-Epos font partie de structures fédératives à l’échelle mondiale.Résif-Epos se base à la fois sur des réseaux permanents et sur des parcs d’instruments mobiles pour effectuer des mesures sismologiques, géodésiques et gravimétriques continues. Les données recueillies révèlent la structure et les déformations de notre planète. Elles contribuent également à la gestion durable des ressources naturelles et à la maîtrise des risques naturels d’origine tellurique.En sismologie, Résif-Epos développe un réseau permanent et dense de près de 200 capteurs à large bande passante sur l’ensemble du territoire métropolitain. Pour le compléter, le réseau accélérométrique permanent dispose de capteurs plutôt dédiés à l’étude des mouvements forts et localisés dans les zones les plus sismiques en métropole et Outre-Mer.Ces réseaux permettent aux chercheurs de mieux connaître et d'imager l'intérieur de la Terre depuis la croûte jusqu’au noyau terrestre. Outils de base pour le suivi en temps réel de l’activité sismique, ils aident également à estimer l'aléa sismique, c’est-à-dire la probabilité qu'une secousse dépasse un certain seuil en un lieu et sur une durée donnés.Résif-Epos intègre également un réseau permanent de stations géodésiques. Capables de mesurer des vitesses de déplacement du sol de l’ordre de quelques dixièmes de millimètres par an, elles permettent de suivre les déformations de l’écorce terrestre et les processus à l’origine des reliefs et de la sismicité, notamment au niveau des failles.Résif-Epos dispose par ailleurs de gravimètres qui mesurent les variations infimes du champ de pesanteur et permettent d’étudier la répartition et la dynamique des masses à l’intérieur de la Terre.En complément de ces réseaux permanents, Résif-Epos coordonne différents parcs d’instruments mobiles qui permettent de densifier temporairement les mesures en France ou dans des zones à fort intérêt scientifique en Europe ou dans le Monde. Ouverts à toute la communauté scientifique académique, ils proposent des équipements variés, modernes et parfois exceptionnels, comme un gravimètre absolu basé sur la chute d’atomes froids. Un système d'information performant gère la dizaine de téraoctets de données collectée annuellement. Les données brutes sont analysées, validées puis centralisées afin d’être sauvegardées et mises à disposition en temps réel et gratuitement, suivant une politique de science ouverte. Chaque année, des dizaines de millions de requêtes sont effectuées sur les serveurs par des scientifiques du monde entier.L'Institut National des Sciences de l'Univers du CNRS coordonne le consortium Résif-Epos, composé de la majorité des universités et organismes français concernés par la recherche en Géosciences. Plus d'une centaine de chercheurs, ingénieurs et techniciens collaborent au quotidien pour faire de Résif-Epos un formidable outil scientifique au service de la communauté mondiale des sciences de la Terre.