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Mail-in and electronic response options were available, and the response rate was 46% (n = 1831). The data were compiled using Survey Monkey and organized using Microsoft Excel and RStudio. The data set featured in this article provides raw survey data plus additional variables created by grouping and consolidating answer options in the raw data. This is the first and most comprehensive set of data known to the authors on public perceptions of water resources and reuse in an arid inland community, and the authors have published open acces
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