Supporting Information for: Miocene surface uplift and moisture-source evolution resolved by stable isotope proxies in the Manantiales Basin, southern Central Andes (~32°S), Ronemus et al., Submission to EPSL, 2026

Stable-isotope data and paleoelevation analysis code for "Miocene surface uplift and moisture-source evolution resolved by stable isotope proxies in the Manantiales Basin, southern Central Andes (~32°S)" Description: This repository contains the data and analysis code supporting Ronemus et al. (submitted to Earth and Planetary Science Letters). Text S1 (Text_S1.pdf) contains supporting text for the manuscript and a description of additional supplemental files. Dataset S1 (Dataset_S1_Glass_Isotopes.xlsx) contains the volcanic glass hydrogen isotope data. Each row corresponds to one sample and includes the sample identifier, stratigraphic level, age assignment (Ma), mean δD_vg (VSMOW), H₂O weight percent, number of replicates, and replicate standard deviation. Dataset S2 (Dataset_S2_Carbonate_Isotopes.xlsx) contains the carbonate oxygen and carbon isotope data. Each row corresponds to one sample and includes the sample identifier, morphological type, stratigraphic level, age assignment (Ma), δ¹⁸O_carb (VPDB), δ¹³C_carb (VPDB), data source (this study or Hoke et al. 2014), and replicate statistics where applicable. Script S1 (Script_S1.py) implements the full analysis pipeline for computing environmental water δ¹⁸O values from volcanic glass δD and carbonate δ¹⁸O measurements, and for estimating paleoelevations via Monte Carlo intersection with the isotope–elevation models described in the supplementary text. The script reads raw isotope data, applies the fractionation equations and meteoric water line conversions described in the manuscript, defines sample groups by age and proxy type, and produces the δ¹⁸Oenv estimates, paleoelevation matrix, and pairwise uplift differences reported in the paper. It uses the lapse curves (lapse_curves.csv) digitized from Hoke et al. (2013, Geochemistry, Geophysics, Geosystems) to calculate paleoelevation for three isotope-elevation models. Written in Python 3; requires NumPy, pandas, and openpyxl dependencies.