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