Reproducibility of applied machine learning in industrial ecology
收藏Zenodo2026-03-30 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.19153101
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About
This repository contains an anonymized survey of the reproducibility practices of 50 industrial ecology studies that use machine learning.
Contents
reproducibility_v1.zip contains the following files:
README.txt - basic analysis metadata.
best_practice_anon.ipynb - an analysis of reproducibility practices of the surveyed industrial ecology papers.
citation_analysis_anon.ipynb - an analysis of how the surveyed studies have been cited, using the OpenAlex API.
.csv/.xlsx - data files for the analysis which are described in the jupyter notebooks above. Coding data can specifically be found in raw_data_anon.csv.
environment.yaml - static python requirements for the analysis.
Contact
For more information, please contact the authors by email.
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Zenodo创建时间：
2026-03-30
