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Published May 13, 2025 | Version v0.1.1-alpha
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dario-ssm/predict_pheno_prapae: Code, data and figures

Authors/Creators

  • 1. Universidad de Alcalá (UAH)

Description

This repository contains the data necessary to reproduce the results of the submitted paper: Existing data enable accurate predictions of crop pest's phenology at macro-scales: a case study for Pieris rapae

Files

dario-ssm/predict_pheno_prapae-v0.1.1-alpha.zip

Files (147.6 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/dario-ssm/predict_pheno_prapae/tree/v0.1.1-alpha (URL)

Software

Repository URL
https://github.com/dario-ssm/predict_pheno_prapae