Publication
Goat Kidding Dataset
| dc.contributor.author | Gonçalves, Pedro | |
| dc.contributor.author | Marques, Maria R. | |
| dc.contributor.author | Belo, Ana T. | |
| dc.contributor.author | Monteiro, António | |
| dc.contributor.author | Braz, Fernando | |
| dc.date.accessioned | 2023-01-04T15:22:03Z | |
| dc.date.available | 2023-01-04T15:22:03Z | |
| dc.date.issued | 2022-06-29 | |
| dc.date.updated | 2023-01-02T11:16:21Z | |
| dc.description.abstract | The detection of kidding in production animals is of the utmost importance, given the frequency of problems associated with the process, and the fact that timely human help can be a safeguard 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 mechanism 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-pregnant Charnequeira goats, during a period of four weeks, the kidding period. The data include measurements 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 experiment 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 offspring, and notes were also added. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.authenticusid | P-00W-SNJ | |
| dc.identifier.citation | Gonçalves, Pedro, Maria R. Marques, Ana T. Belo, António Monteiro, e Fernando Braz. «Goat Kidding Dataset». Data 7, n.º 7 (julho de 2022): 89. https://doi.org/10.3390/data7070089. | pt_PT |
| dc.identifier.doi | 10.3390/data7070089 | pt_PT |
| dc.identifier.eid | 2-s2.0-85133624642 | |
| dc.identifier.slug | cv-prod-3037253 | |
| dc.identifier.uri | http://hdl.handle.net/10400.19/7503 | |
| dc.identifier.wos | WOS:000833232900001 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.subject | oat kiddingg | pt_PT |
| dc.subject | posture monitoring | pt_PT |
| dc.subject | inertial sensors | pt_PT |
| dc.title | Goat Kidding Dataset | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 7 | pt_PT |
| oaire.citation.startPage | 89 | pt_PT |
| oaire.citation.title | Data | pt_PT |
| oaire.citation.volume | 7 | pt_PT |
| person.familyName | Monteiro | |
| person.givenName | António | |
| person.identifier.ciencia-id | 761A-C658-3BAC | |
| person.identifier.orcid | 0000-0002-2322-3624 | |
| person.identifier.rid | W-4256-2017 | |
| person.identifier.scopus-author-id | 7102146080 | |
| rcaap.cv.cienciaid | 761A-C658-3BAC | António Manuel Cardoso Monteiro | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 5cea19eb-c964-450a-b3e4-a3b0c2b8d8f7 | |
| relation.isAuthorOfPublication.latestForDiscovery | 5cea19eb-c964-450a-b3e4-a3b0c2b8d8f7 |