CO2 Rise Directly Impairs Crop Nutritional Quality

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Dataset information

Country of origin
Updated
2025.11.14 00:00
Created
2025.01.01
Available languages
English
Keywords
plant stoichiometry, direct CO2 effect, crop quality, nutrient security, malnutrition, ionome changes, food nutritional value, plant nutritional content
Quality scoring

Dataset description

This repository includes the files created and used in 'CO2 Rise Directly Impairs Crop Nutritional Quality'. Three additional files are uploaded as Supplementary Information and are not included here. They are: 'Data Sources' (pdf), which contains the full citation and DOI of the articles used to create the database (File 3) 'Supplementary Figures' (pdf) created by the python code (File 1). 'Appendix S2' (pdf), which explains how existing databases were used in the creation of File 3 to avoid double-counting.They are also available upon reasonable individual request. The included files here are: File 0: README.txt File 1: CO2_Rise_Crop_Quality_SI_Code.py File 2: CO2_Rise_Crop_Quality_SI_Code spec-file.txt File 3: CO2_Rise_Crop_Quality_SI_Data_S1_Database.csv File 4: CO2_Rise_Crop_Quality_SI_Data_S2_Database_Read Me.txt File 5: CO2_Rise_Crop_Quality_SI_Data_S3_Results_for publication.csv File 6: CO2_Rise_Crop_Quality_SI_Data_S4_Results_Read Me.txt They relate to each other as follows: File 0 contains a description of the files and how they relate to each other.File 1 is the Python code used to analyze the input database (File 3). It automatically produces all the figures and outputs to the console the numbers used in the manuscript. This code is maintained by 'topersist' on GitHub.Consult File 2 to clone the environment used when creating the script (File 1).File 3 is the input database and is associated with its readme (File 4), which explains the variable names and units.File 5 is the output of File 1 when run using File 3, and contains the results as used in the final figures for publication.File 6 is the associated readme, which explains the variable names and units. This work has received funding from the European Union's Horizon 2020 Research and Innovation program under grant agreement no. 101003880. The sole responsibility for the content of this dataset lies with the authors.
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