PURPOSE OF THE PROJECT
	 Collect data on when water is flowing at fixtures to calculate the probability that the fixture is busy.
 	The fixture p-values is on of the parameters to predict peak demand in buildings for pipe sizing purposes.

ORGANIZATIONAL STRUCTURE: 
	Each .csv contains colated raw data from  a wireless sensor network deployed at the Marian Spencer Hall cafeteria restroom at the University of Cincinnati, Ohio.

FILE NAMING CONVENTION  
	StartDate_EndDate(MMDDYYYY)_Building_Location_FixtureType_NumberofFixtures
	(e.g. "08192022_12082022_MarianSpencerCafeteria_MensRestroom_Lavatory_2")


METHODOLOGY/PROTOCOL

	DATA COLLECTION:Please refer to NIST GCR 00-XXX report onResearch on Fixture-Level Peak Probability of Use in Commercial Buildings for information on experimental set-up and the data collection procedures. 

	DATA EXPLANATION, OMISSIONS AND ERRORS 
	Each data file has 5 coulmns. Columns [1] EventNumber, [2] Date, [3] EventStartTime [4] EventEndTime and [5] Duration of flow (secs).
	
	
	Since the location is often closed for breaks and holidays, the data  collected is not continuous. That means over the either sampling period, several days data are missing.


KEYWORDS
	Commercial Buildings, Peak Water Demand, Fixture Probability, Wireless Sensor, Water Demand Calculator

CONTACT INFORMATION
	Steven Buchberger, steven.buchberger@uc.edu

DATA ANALYSIS
	Please refer to the manuscript for information on data analysis and results.