Codes for data analysis and figures for Assessing early-stage net CO2 fluxes from soils and maize plants during a short-term enhanced weathering mesocosm trial
Here you will find codes and necessary files used to perform Random Forest machine learning analysis, bootstrapping analysis, data pruning analysis, and plotting for the Manuscript Assessing early-stage net CO2 fluxes from soils and maize plants during a short-term enhanced weathering mesocosm trial. "ML_N2O_v3.R" is used to run the Random Forest machine learning analysis. "ml_Functions.R" contains the functions needed to run "ML_N2O_v3.R" "Bootstrap Code.py" is used to run the bootstrapping function and make figures for the bootstrap analysis. "Run 1 CO2_Plotter.py" and "Run 2 CO2_Plotter.py" are used to make figures to plot the fluxes and c
Resource information
- Format
- py, r
- Original repository
- 23252566
- DOI
- 10.5281/zenodo.23252566
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- cc-by-4.0
- Last record update
- Nov 5, 2026
About this resource
Here you will find codes and necessary files used to perform Random Forest machine learning analysis, bootstrapping analysis, data pruning analysis, and plotting for the Manuscript Assessing early-stage net CO2 fluxes from soils and maize plants during a short-term enhanced weathering mesocosm trial. "ML_N2O_v3.R" is used to run the Random Forest machine learning analysis. "ml_Functions.R" contains the functions needed to run "ML_N2O_v3.R" "Bootstrap Code.py" is used to run the bootstrapping function and make figures for the bootstrap analysis. "Run 1 CO2_Plotter.py" and "Run 2 CO2_Plotter.py" are used to make figures to plot the fluxes and cumulative emissions for each run of the experiment. "Sampling Frequency Distributions Plotter.py" is used to plot the data pruning analysis. "TIC TOC and Base Sat Plotter.py" is used to plot the carbon pool and base saturation data.