Cattle drinking behavior data after quality check and outlier removal
Source:R/data.R
clean_water.RdA dataset containing drinking visit records for cattle over a two-day period (2020-10-31 to 2020-11-01). This dataset is the result of applying quality control procedures and KNN-based outlier removal to the raw all_wat data.
Format
A list of 2 data frames, one for each date (2020-10-31, 2020-11-01), with each data frame containing the following 10 variables:
- transponder
integer, unique electronic ID for each bin
- cow
integer, animal ID number
- bin
numeric, water bin location number
- start
POSIXct, timestamp when drinking event started
- end
POSIXct, timestamp when drinking event ended
- duration
integer, duration of drinking event in seconds
- start_weight
numeric, weight of water (kg) at start of drinking event
- end_weight
numeric, weight of water (kg) at end of drinking event
- intake
numeric, amount of water consumed (kg) during the event (calculated as start_weight - end_weight)
- date
Date, calendar date of the drinking event
- rate
numeric, how fast the cow was drinking (L/s)
Details
This dataset is the result of applying quality control checks using the
qc() function to the raw all_wat data. The cleaning process includes removing
invalid records, fixing double detections, and ensuring all intake and duration
values are plausible.
Examples
# Access quality-checked data for the first day
first_day <- clean_water[["2020-10-31"]]
# Count drinking events by cow on November 1 after quality control
table(clean_water[["2020-11-01"]]$cow)
#>
#> 2074 3150 4001 4044 4070 4072 4080 5028 5041 5042 5058 5061 5067 5100 5114 5120
#> 11 17 4 7 5 12 20 8 12 16 12 12 11 10 11 11
#> 5123 5124 5135 5137 5139 5145 6005 6020 6027 6028 6030 6033 6042 6050 6055 6069
#> 15 22 14 10 10 11 7 14 10 12 7 13 10 8 10 10
#> 6084 6090 6121 6126 6129 7010 7018 7019 7022 7023 7024 7027 7030 7033 7043
#> 9 14 24 22 5 10 10 9 19 9 10 10 11 22 12