cff-version: 1.2.0 abstract: "<p>The dataset contains the following items:</p> <p><br></p> <p>- dma1_flow.txt = hourly water flow (m3/h) for district meter area 1</p> <p>(rows are days, columns are the 24 hours)</p> <p><br></p> <p>- dma1_pressure.txt = hourly pressure (psi) for district meter area 1</p> <p>(rows are days, columns are the 24 hours)<br> </p> <p><br></p> <p>- temperature.txt = hourly temperature (Celcius)</p> <p>(rows are days, columns are the 24 hours)<br> </p> <p><br></p> <p>- wk_dummy.txt = dummy variable indicating whether its a workday or a weekend</p> <p>(rows are days, columns are the 2 dummy variables)<br> </p> <p><br></p> <p>- dates : dates of the recordings</p> <p>(rows are days)<br> </p> <p><br></p> <p>dlm_script.R : a R script to run the dynamic linear model with the example dataset.</p> <p><br></p>" authors: - family-names: Henriques da Silva given-names: Renato - family-names: Schmidt given-names: Alexandra M. - family-names: Duchesne given-names: Sophie - family-names: Fortin St-Gelais given-names: Nicolas orcid: "https://orcid.org/0000-0002-6721-5191" title: "Data underlying the research on On-line warning system for pipe burst using Bayesian dynamic linear models" keywords: version: 3 identifiers: - type: doi value: 10.4121/17169383.v3 license: CC0 date-released: 2022-09-15