Datasets from the Baylor University Modernizing Water and Wastewater Treatment through Data Science Education and Research (Mo(Wa)²TER) program
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Jun 2, 2025
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2024, "Educational Vignettes using Mo(Wa)²TER Datasets", https://doi.org/10.7910/DVN/KTM68Q, Harvard Dataverse, V2, UNF:6:x4nfr+hXIuqidKjzp8j1Ow== [fileUNF]
These teaching vignettes provide two examples of analyses and exercises designed to help educators integrate the real-world datasets from the Mo(Wa)²TER Dataverse into their curriculum. The exercises can be adapted for both programming and non-programming contexts, allowing educators to use them in exams, assignments, or classroom activities, depen...
Tabular Data - 27.0 KB - 10 Variables, 260 Observations - UNF:6:x4nfr+hXIuqidKjzp8j1Ow==
data
HTML - 1.5 MB - MD5: 426a92872ce94a2f01ea47b5652b705b
R Notebook - 9.2 KB - MD5: 6fa500d755ef8c202d95b1a74cfcc119
R Syntax - 18.3 KB - MD5: 2d0fff474264626b623c99d0af268cfe
Adobe PDF - 5.4 KB - MD5: 620e24b2c3ede7bba2b1c1f75a09955b
HTML - 1.9 MB - MD5: a19c70a47b58b0d278a47e8d81d9e3a2
R Notebook - 10.4 KB - MD5: 61b5cef7f8350d740bb60b8045a3cae1
R Syntax - 12.7 KB - MD5: 5931f4ca9fe0874f748bbde8caeef4a2
R Data - 599.2 KB - MD5: 39165e915e14766829d188a33016bfca
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