Data underlying the publication: Tracing the splash: assessing virtual water flows from small-scale agriculture
Datacite citation style
Su, Han; Bruckner , Martin; Taherzadeh, Oliver; Sun, Zhongxiao; Hogeboom, Rick J. et. al. (2025): Data underlying the publication: Tracing the splash: assessing virtual water flows from small-scale agriculture. Version 5. 4TU.ResearchData. dataset. https://doi.org/10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v5
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
Usage statistics
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Geolocation
55 countries
        Time coverage around 2010
Licence CC BY 4.0
Interoperability
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
- 2025-06-18 published, posted
Publisher
4TU.ResearchDataFormat
*.csvOrganizations
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 TechnologyDATA
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