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Apr 22, 2026
Charnoz, Sébastien; Aléon, Jérôme; Chaussidon, Marc; Sossi, Paolo; Marrochi, Yves; Franco, Patric, 2026, "Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”", https://doi.org/10.18715/IPGP.2026.mkv2scjh, IPGP Research Collection, V1
Data for Publication "Condensation of the first Solar System Solids by non equilibrium condensation" in Nature, Janv 2026. High resolution images of the kinetic condensation matrix-mosaics for slow, moderate and fast nebular reactions. We give also the source code for reproducing...
ZIP Archive - 3.9 MB - MD5: ea107ebd284ae7d1492105290fcad538
Code to reproduce the figures of the paper.
Adobe PDF - 1.5 MB - MD5: 098f92df517dfae63acf27fbb6e280b0
Color legends for minerals used in the legend of the paper
Adobe PDF - 13.5 MB - MD5: 3d198e7a89da73b0aede27ed1183f023
Mosaic of kinetic condensation sequences in poster format for the case of fast nebular reactions.
Adobe PDF - 12.8 MB - MD5: f4451864838d3a9f5524bbebba46651b
Mosaic of kinetic condensation sequences in poster format for the case of moderately fast nebular reactions.
Adobe PDF - 13.7 MB - MD5: ce6532bdab5f43e8c0cacf574428f78d
Mosaic of kinetic condensation sequences in poster format for the case of slow nebular reactions.
Apr 8, 2026
Flores-Allende, Rodrigo; Seydoux, Léonard; Beaucé, Éric; Bonilla, Luis Fabián; Gueguen, Philippe; Satriano, Claudio, 2026, "Deep-Learning-Based Earthquake Catalog for the 2010 Mw 8.8 Maule Aftershock Sequence", https://doi.org/10.18715/IPGP.2026.mnhd5fhq, IPGP Research Collection, V1, UNF:6:yNDmP6KzL1INzW8u4Cdv1A== [fileUNF]
This dataset contains the earthquake catalog and Python scripts associated with Flores-Allende et al. (2026), Fine-Scale Segmentation and Spatiotemporal Variability of the 2010 Mw 8.8 Maule Aftershock Sequence Revealed by a Deep-Learning-Based Earthquake Catalog. It provides the...
Python Source Code - 17.2 KB - MD5: 11aeff7231c8116077b653545622adc6
Python Source Code - 7.4 KB - MD5: 9a09953b279219f6672f26cb811f333f
Tabular Data - 78.3 MB - 19 Variables, 537387 Observations - UNF:6:yNDmP6KzL1INzW8u4Cdv1A==
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