Enset and Climbing bean intercropping dataset

This dataset contains extracted enset biomass, enset leaf length, c bean yield data, and the R scripts used for crop model simulation in the manuscript entitled Scenario-based Simulation of Enset–Climbing Bean Intercropping Productivity under Alternative Spacing and Pruning Regimes in Sidama, Ethiopia. The dataset was generated from field experiments and simulation analyses conducted to evaluate the productivity and management options of the enset–climbing bean intercropping system under different agronomic scenarios. Measurements were collected from enset plants and climbing bean crops grown under different spacing arrangements and pruning scenarios. The dataset includes observations on enset biomass production, leaf length, and climbing bean yield, together with supporting variables required for crop simulation analysis. Data were subjected to quality control procedures before analysis to ensure accuracy, consistency, and completeness. The accompanying R scripts provide the complete analytical workflow used to process the experimental data, perform statistical analyses, simulate crop productivity under alternative management scenarios, and generate the tables and figures presented in the associated manuscript. These scripts facilitate transparency, reproducibility, and verification of the study results. Users can execute the scripts with the provided datasets to reproduce the reported analyses or adapt them for similar studies in other enset-based production systems. The simulation component evaluates the effects of different plant spacing configurations and pruning practices on enset biomass production and climbing bean yield. These scenarios were developed to identify management practices that improve system productivity while maintaining sustainable resource use in smallholder farming systems. The dataset therefore provides valuable information for understanding crop interactions, optimizing intercropping management, and assessing the potential impacts of alternative agronomic practices. The files included in this repository consist of raw and processed experimental data, simulation input datasets, output files, metadata describing variable names and units, and annotated R scripts. Variables are clearly labeled and organized to facilitate reuse by researchers, students, agronomists, crop modeler, and development practitioner. This dataset is intended to support reproducible research and encourage further investigations into sustainable enset-based intercropping systems. It may be reused for comparative studies, crop model development and evaluation, agronomic analyses, and meta-analyses, provided that appropriate citation is given to the dataset and the associated research article. The dataset contribute to improving knowledge of climate-resilient and resource-efficient agricultural systems in Ethiopia and other regions where enset-based farming is practiced, while promoting open science, data sharing, and transparent scientific research.