21 to 30 of 519 Results
May 7, 2026 -
Replication Data for: Geodynamo simulations spanning millennia in the physical conditions of Earth's core
MATLAB Data - 156.5 MB -
MD5: 05e8c840886dde5d23f51fc8c4d98ada
Core surface velocity data from case G |
May 7, 2026 -
Replication Data for: Geodynamo simulations spanning millennia in the physical conditions of Earth's core
MATLAB Data - 18.9 MB -
MD5: bc2252873c9f5f628d7f1d33c55a3650
Core surface velocity data from case N |
May 7, 2026 -
Replication Data for: Geodynamo simulations spanning millennia in the physical conditions of Earth's core
MATLAB Data - 56.3 MB -
MD5: 25ba9b474c6a379b484e0de2043fbe7c
Core surface velocity data from case U |
Apr 22, 2026 -
Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”
ZIP Archive - 3.9 MB -
MD5: ea107ebd284ae7d1492105290fcad538
Code to reproduce the figures of the paper. |
Apr 22, 2026 -
Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”
Adobe PDF - 1.5 MB -
MD5: 098f92df517dfae63acf27fbb6e280b0
Color legends for minerals used in the legend of the paper |
Apr 22, 2026 -
Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”
Adobe PDF - 13.5 MB -
MD5: 3d198e7a89da73b0aede27ed1183f023
Mosaic of kinetic condensation sequences in poster format for the case of fast nebular reactions. |
Apr 22, 2026 -
Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”
Adobe PDF - 12.8 MB -
MD5: f4451864838d3a9f5524bbebba46651b
Mosaic of kinetic condensation sequences in poster format for the case of moderately fast nebular reactions. |
Apr 22, 2026 -
Replication Data for : “Condensation of the first Solar System Solids by non equilibrium condensation”
Adobe PDF - 13.7 MB -
MD5: ce6532bdab5f43e8c0cacf574428f78d
Mosaic of kinetic condensation sequences in poster format for the case of slow nebular reactions. |
Python Source Code - 17.2 KB -
MD5: 11aeff7231c8116077b653545622adc6
|
Python Source Code - 7.4 KB -
MD5: 9a09953b279219f6672f26cb811f333f
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