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Data · dataset · 2026

Electronic Ear-Tag Temperature and Estrus Event Records

Listed in Teesside University Research Data Repository

This dataset contains longitudinal electronic ear-tag records and manually recorded estrus-event labels used in a retrospective sow estrus classification study.

Description

The data were obtained from routine production monitoring at one commercial swine farm in Zhejiang, China. Low-power electronic ear tags associated each observation with an individual sow and timestamp and transmitted the records through a wireless gateway to a local server.

The retrospective analysis introduced no experimental intervention or change to normal animal management. The file sow_ear_tag_monitoring_records.xlsx contains 2,663,644 raw monitoring records from 409 sows collected between 8 November 2024 and 7 July 2025. Because of the Excel row limit, the records are divided across three worksheets with the same eight-column schema: sEarTagCode (electronic ear-tag identifier), sSowsNo (sow identifier/ear number), sBrand (farm-recorded breed or line), dBreedDate (mating date), dWeanDate (weaning date), tLastUploadTime (measurement upload timestamp), iTemperature (ear temperature, °C), and iStep (cumulative step-count reading).

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Sampling intervals are non-uniform. The file estrus_event_labels_and_sow_ids.pdf contains 521 positive sow-interval entries organized by date and twice-daily observation interval (08:00–09:00 and 15:00–16:00). Farm personnel performed manual estrus checks at approximately 08:30 and 15:30.

The listed interval therefore represents the recorded detection time rather than the exact biological onset of estrus. Sow identifiers correspond to sSowsNo; numeric identifiers should be handled as strings. Not every labeled entry had sufficient matching temperature history to generate a retained analytical window.

For the associated study, valid ear-temperature observations were resampled to hourly means. Each positive sample comprised the 48 hourly temperature values preceding a recorded positive interval; negative samples were equal-length windows from monitored periods without a recorded estrus event. Windows with five or more missing hours were excluded, whereas retained windows with fewer than five missing values were forward-filled.

Although the raw workbook contains step-count readings, the reported model used temperature only.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Longitudinal study 65%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/kxvsv72sbj.116 h agoJSON v1
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concepts[field].anzsrc:group:4602mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
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concepts[method].local:method:longitudinal-studyenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
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