Cross-Continental Multivariate Insights into Maize Silage Production and Allocation (2021–2025)

This repository contains the FAIR-aligned dataset and pre-analytical R script used in the study “Cross-Continental Multivariate Insights into Maize Silage Production and Allocation (2021–2025)”. The dataset includes aggregated agronomic, climatic, livestock, demographic and economic indicators from seven countries (Australia, Brazil, China, United States, France, Japan and South Africa). The materials adhere to international Open Science and FAIR principles by providing:(1) Access to the aggregated data used in the research;(2) A complete variable dictionary; and(3) A transparent pre-processing script for reproducibility. No statistical analysis scripts (PCA, PERMANOVA) or manuscript files are included at this stage, in compliance with journal policies regarding pre-publication. These files will be released after peer-reviewed acceptance. Contents:• dataset_silagem_2021_2025.csv – Aggregated 2021–2025 dataset• data_dictionary_silagem_2021_2025.csv – Variable definitions, units and metadata• data_preprocessing_silagem_2021_2025.R – Pre-analytical script for import, inspection, and z-score standardization• README – Documentation and usage guidelines• LICENSE – CC-BY 4.0 This repository provides a transparent, reusable foundation for future multivariate, comparative and predictive studies on global maize silage systems.