61 to 70 of 1,865 Results
Mar 28, 2024
Duputel, Zacharie; Lengliné, Olivier; Ferrazzini, Valérie, 2024, "Pre-eruptive earthquake swarms at Piton de la Fournaise volcano (2014-2018)", https://doi.org/10.18715/IPGP.2024.lu8b17n7, IPGP Research Collection, V1, UNF:6:PTRo5mFztE2sMEa94+j1fA== [fileUNF]
Catalog of shallow earthquakes during pre-eruptive seismicity swarms at Piton de la Fournaise volcano between 2014 and 2018. The catalog includes origin times and hypocenter locations of events detected using a template matching approach and relocated using HypoDD. Earthquake are... |
Unknown - 18.7 MB -
MD5: 7e6bfd472bfa9c9b68c0738f99356099
QuakeML format (description of the format can be found here: https://quake.ethz.ch/quakeml/QuakeML)
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Tabular Data - 846.5 KB - 4 Variables, 15598 Observations - UNF:6:PTRo5mFztE2sMEa94+j1fA==
Columns are Origin Time, Hypocenter Latitude (deg), Longitude (deg) and Depth (km) |
Mar 28, 2024
Lengliné, Olivier; Duputel, Zacharie; Ferrazzini, Valérie, 2024, "Deep earthquakes at Piton de la Fournaise volcano (year=2015)", https://doi.org/10.18715/IPGP.2024.lu8a7gpy, IPGP Research Collection, V1, UNF:6:rJy+JlntZK1qDNsbfBnOCw== [fileUNF]
Catalog of deep earthquakes detected at Piton de la Fournaise volcano in 2015 (hypocenter locations and origin times). Events were detected using a template matching approach and relocated using HypoDD. Earthquake depths are ranging from 1.8 km to 7.2 km below sea level and are s... |
Unknown - 6.2 MB -
MD5: dfe6057987909598b020b5bf657b289a
QuakeML format (description of the format can be found here: https://quake.ethz.ch/quakeml/QuakeML)
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Tabular Data - 277.9 KB - 4 Variables, 5206 Observations - UNF:6:rJy+JlntZK1qDNsbfBnOCw==
Columns are Origin Time, Hypocenter Latitude (deg), Longitude (deg) and Depth (km) |
Mar 21, 2024
Rozier, Olivier; Narteau, Clément; Rubin, David M.; Courrech du Pont, Sylvain, 2024, "Simulations of dune morphology under tri-directional wind regimes", https://doi.org/10.18715/IPGP.2023.lqdzz72n, IPGP Research Collection, V1, UNF:6:kQtkyodcRGs3dDHL+MKb1g== [fileUNF]
Dune morphology was simulated using coupled models of wind flow and sand transport for 4728 tri-directional wind regimes and bed conditions. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Di... |
Plain Text - 8.5 KB -
MD5: cd04dc74fed1edbd9cb4c9ff9375fe98
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Tabular Data - 27.8 KB - 9 Variables, 900 Observations - UNF:6:Xg1c0YDrMP2dr3dNSBCUGA==
Tri-directional wind regimes |
Tabular Data - 38.4 KB - 9 Variables, 900 Observations - UNF:6:aJRHSlO7dYopqColROFjbQ==
Tri-directional wind regimes |