Data underlying the publication: Estimating the contribution of small-scale agriculture to the crop production involved in international trade and virtual water flows

DOI:10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v4
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce

Datacite citation style

Su, Han; Bruckner , Martin; Taherzadeh, Oliver; Sun, Zhongxiao; Hogeboom, Rick J. et. al. (2025): Data underlying the publication: Estimating the contribution of small-scale agriculture to the crop production involved in international trade and virtual water flows. Version 4. 4TU.ResearchData. dataset. https://doi.org/10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v4
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset aims to quantify the contribution of small-scale and large-scale agriculture to the crop production involved in international trade virtual water flows. This dataset contains country-level crop production involved in trade and virtual water flow divided by green or blue water, type of final use, and year from small-scale and large-scale agriculture.


A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.

History

  • 2024-01-08 first online
  • 2025-04-24 published, posted

Publisher

4TU.ResearchData

Format

*.csv

Organizations

University of Twente, Faculty of Engineering Technology (ET), Multidisciplinary Water Management (MWM); ETH Zurich, Institute of Environmental Engineering; Vienna University of Economics and Business (WU); Water Footprint Network, Enschede, NL; Leiden University, Institute of Environmental Sciences; China Agricultural University, College of Land Science and Technology

DATA

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