11 to 20 of 509 Results
Python Source Code - 12.9 KB -
MD5: b2c4cdaf3229e7df522cad9be5caa68e
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Plain Text - 4.1 KB -
MD5: cf8df385e8241aab08198cf28ece856e
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Python Source Code - 18.4 KB -
MD5: e7585a1c3a099fef208347ae7e347dce
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Mar 9, 2026
Pantobe, Laetitia; Chanard, Kristel; Burtin, Arnaud; Sakic, Pierre; Komorowski, Jean-Christophe, 2026, "Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe", https://doi.org/10.18715/IPGP.2025.mavm8imp, IPGP Research Collection, V1
The dataset includes: (1) the microseismicity catalog (number of events per day), (2) the groundwater depth of Tarissan Lake (measurements), (3) the results of daily groundwater modeling of Tarissan Lake, (4) daily rainfall at a summit site, and (5) the regionalization of vertica... |
Mar 9, 2026 -
Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe
Plain Text - 99.8 KB -
MD5: 11a9726deba3d6bfc933c4d465e4f224
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Mar 9, 2026 -
Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe
Plain Text - 56.8 KB -
MD5: 8502b4acf733f08016b45470ba7dfa01
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Mar 9, 2026 -
Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe
Plain Text - 142.7 KB -
MD5: 71efa4664dac2f87182adfb13753e454
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Mar 9, 2026 -
Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe
Plain Text - 4.6 KB -
MD5: 0e878aad2beb5139aa63f1b809c3e65a
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Mar 9, 2026 -
Dataset related to Understanding Seasonal Microseismicity : La Soufrière de Guadeloupe
Plain Text - 46.6 KB -
MD5: 4afc25259815539caa7e86caee7649e0
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Feb 27, 2026
Froissart, Pierre-Yves; Lognonné, Philippe; Simoneau, Pierre; Nishida, Kiwamu; Ohminato, Takao, 2026, "OH Airglow for Ionospheric Seismology Applications from Instrumental Noise Characterization to Rayleigh Waves Detection Threshold", https://doi.org/10.18715/IPGP.2025.mfv7yzws, IPGP Research Collection, V1
This dataset contains OH airglow images acquired above Japan on 25 February 2024, along with modeling results of a seismic-wave signature in the airglow layer (dI/I). The two image time series are stored in an HDF5 file, and an accompanying README provides detailed information ab... |
