Ferric iron stabilization at deep magma ocean conditions

Fe2O3 produced in a deep magma ocean in equilibrium with core-destined alloy sets the early redox budget and atmospheric composition of terrestrial planets. Previous experiments (≤28 GPa) and first-principles calculations indicate that a deep terrestrial magma ocean produces appreciable Fe3+, but predict Fe3+/ΣFe that conflict by an order of magnitude. We present Fe3+/ΣFe of glasses quenched from melts equilibrated with Fe-alloy at 38-71 GPa, 3600-4400 K, analyzed by synchrotron Mössbauer spectroscopy. These indicate Fe3+/ΣFe of 0.056-0.112 in a terrestrial magma ocean with mean alloy-silicate equilibration pressures of 28-53 GPa, producing sufficient Fe2O3 to account for the modern bulk silicate Earth redox budget and surficial conditions near or more oxidizing than the iron-wüstite buffer, which would stabilize a primitive CO- and H2O- rich atmosphere., The samples have been synthesized with LH-DAC at 38-71 GPa and 3600-4400 K. Quenched samples have been double polished, and the Fe3+/ΣFe ratios have been resolved from Energy domain SMS(E-SMS). 
This data set including the raw E-SMS spectra and the calibration file. Besides that, the python codes to calculate the LH-DAC experimental log fO2 values, to obtain the thermodynamic model parameters, to obtain the initial Fig 2, Fig 3, and Fig 4 have been provided., , # Ferric iron stabilization at deep magma ocean conditions.

[https://doi.org/10.5061/dryad.612jm64b0](https://doi.org/10.5061/dryad.612jm64b0)

## **Overview**

This dataset contains raw experimental data and analysis scripts supporting the study on the stabilization of ferric iron (Fe³⁺) under deep magma ocean conditions. The research investigates iron redox behavior using laser-heated diamond anvil cell (LH-DAC) experiments combined with synchrotron Mössbauer spectroscopy (SMS) and thermodynamic modeling.

## Data & Code Description

The repository contains three primary compressed files:

##### **1. MO_redox.zip**

This archive contains Python scripts and associated data files for data analysis, thermodynamic modeling, and figure generation. Key components include:

* `db/`Folder:​ Contains essential input data files:
* `D20_molar.csv`: Thermodynamic data parameters from Deng et al. 2020. 
* Terminology:
* W_Fe: the interaction Margules parameter of components FeO and Fe...,