Bibliographies of Agricultural Meteorology (1900-1950)

Published: 15 October 2020| Version 1 | DOI: 10.17632/gx92v4sypj.1
Giuditta Parolini


This collection of bibliographic data was compiled as part of a research project on the history of agricultural meteorology in the first half of the twentieth century. The two data sets in the collection were extracted: 1) from chapters 1-4 and 6-8 of the "Bibliography of Agricultural Meteorology" compiled and edited by Jen Yu Wang and Gerald L. Barger and published in 1962 by the University of Wisconsin Press; 2) from the "Second Bibliography of Literature on Agricultural Meteorology" published by the British Ministry of Agriculture and Fisheries in 1936. The entries were checked for consistency and correctness and, whenever possible, a link to a digital copy of the publication (in some cases a related version) was added. A larger, but not curated, selection of bibliographic data on agricultural meteorology (1900-1950) is available in this Zotero public library ( compiled alongside the creation of the two collections here deposited. The bibliographic data set was created to gain an overview of the developments of agricultural meteorology from 1900 to 1950. The bibliographic corpus, in fact, includes articles, books, reports, and thesis written by thousands of authors in more than ten languages, and published by journals and institutions active in the multiple scientific domains, such as agronomy, meteorology, and soil science, that contributed to the growth of agricultural meteorology. The data were examined using the following Python libraries: Pandas, Spacy, and Gensim. The code used in the data analysis and the results obtained are available as Google Colab notebooks in this GitHub repository ( Reuse with attribution of both data and code is encouraged among humanists interested in the history of the life sciences, as well as agronomy researchers and climate scientists pursuing research questions that require an insight into past literature on farming, weather, and climate. Acknowledgements I gratefully acknowledge the financial support of the German Research Foundation (DFG) (Project No. 321660352) in the preparation of this data set. I thank Jan Sevcik for contributing to clean the data extracted from Wang and Barger's Bibliography of Agricultural Meteorology. I am grateful to Dr Laura Fernández Gallardo and to the organizers of the "Learn IT, Girl!" initiative for helping me learn to code in Python and analyze my research data.



Technische Universitat Berlin


History of Science, Library and Information Science, Agrometeorology