Raw temperature data was transformed into a ‘cooking events’ variable using the AnomalyDetection package in R. While this package was originally developed to detect anomalies in internet traffic, when applied to temperature data, the package detects events that deviate from the ambient diurnal temperature pattern. We applied numerous filters to the processed data, including only considering positive slope anomalies as cooking time and grouping anomalies within 60 min of each other. Stove use was defined as an indicator variable of 0 (no stove use) or 1 (stove use) in each week. Dates were transformed from calendar dates to weeks relative to each participant’s study end date because GRAPHS had a rolling enrollment and exit.
Ibutton temperature loggers
iButton temperature loggers are compact, durable, and self-contained devices that record temperature data. They are designed to measure and store temperature readings over time, making them suitable for various temperature monitoring applications.
Lab products found in correlation
4 protocols using ibutton temperature loggers
Tracking Stove Use with Temperature Loggers
Raw temperature data was transformed into a ‘cooking events’ variable using the AnomalyDetection package in R. While this package was originally developed to detect anomalies in internet traffic, when applied to temperature data, the package detects events that deviate from the ambient diurnal temperature pattern. We applied numerous filters to the processed data, including only considering positive slope anomalies as cooking time and grouping anomalies within 60 min of each other. Stove use was defined as an indicator variable of 0 (no stove use) or 1 (stove use) in each week. Dates were transformed from calendar dates to weeks relative to each participant’s study end date because GRAPHS had a rolling enrollment and exit.
Monitoring Hibernation Torpor in Small Animals
Tracking Stove Use with Temperature Loggers
Tracking Torpor Bouts in Hibernating Animals
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