Creating and sharing knowledge for telecommunications

Goat Kidding Dataset

Gonçalves, P. ; Marques, M. ; Belo, A. ; Ramos, A. ; Braz, F.

Data Vol. 7, Nº 89, pp. 1 - 10, June, 2022.

ISSN (print): 2306-5729
ISSN (online):

Scimago Journal Ranking: 0,46 (in 2022)

Digital Object Identifier: 10.3390/data7070089

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The detection of kidding in production animals is of the utmost importance, given the fre‐
quency of problems associated with the process, and the fact that timely human help can be a safe‐
guard for the well‐being of the mother and kid. The continuous human monitoring of the process is
expensive, given the uncertainty of when it will occur, so the establishment of an autonomous mech‐
anism that does so would allow calling the human responsible who could intervene at the opportune
moment. The present dataset consists of data from the sensorization of 16 pregnant and two non‐preg‐
nant Charnequeira goats, during a period of four weeks, the kidding period. The data include meas‐
urements from neck to floor height, measured by ultrasound and accelerometry data measured by an
accelerometer existing at the monitoring collar. Data was continuously sampled throughout the exper‐
iment every 10 s. The goats were monitored both in the goat shelter (day and night) and during the
grazing period in the pasture. The births of the animals were also registered, both in terms of the time
at which they took place, but also with details regarding how they took place and the number of off‐
spring, and notes were also added