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cff-version: 1.2.0
title: "DigiMuh: dairy-cow sensor data ingestion and heat-stress analysis"
message: "If you use this software, please cite it as below."
type: software
version: "1.0.0"
date-released: "2026-05-26"
doi: "10.5281/zenodo.20389795"
license: MIT
repository-code: "https://github.com/zerotonin/digimuh"
url: "https://zerotonin.github.io/digimuh/"
identifiers:
- type: doi
value: "10.5281/zenodo.20389795"
description: "Zenodo archive of DigiMuh v1.0.0 (Frontiers in Animal Science snapshot)"
keywords:
- dairy
- cattle
- precision-livestock-farming
- heat-stress
- sensor-data
- SQLite
- smaxtec
- HerdePlus
- broken-stick-regression
- intraclass-correlation
- repeatability
- thermal-index
- Python
authors:
- given-names: "Bart R.H."
family-names: Geurten
email: bart.geurten@otago.ac.nz
orcid: "https://orcid.org/0000-0002-1816-3241"
affiliation: "Department of Zoology, University of Otago, Dunedin, New Zealand"
abstract: >-
DigiMuh is a research software pipeline for dairy-cow heat-stress
analysis. It consolidates ~9 GB of heterogeneous sensor data
(smaXtec rumen boluses, smaXtec barn climate, HerdePlus milking
and MLP analytics, Gouna respiration, BCS, HOBO weather, DWD)
into a normalised SQLite database, and provides an analysis suite
that derives per-animal heat-stress breakpoints (broken-stick
regression with profile-RSS confidence intervals), individual
repeatability (ICC(1,1) with stackable lactation / DIM / yield /
measurement-error corrections), and downstream behavioural and
productive responses. Statistical methods (broken-stick, Davies
and Pseudo-Score breakpoint tests, Hill 4PL, Benjamini-Hochberg
FDR) are delegated to the reRandomStats >= 0.2.0 toolkit so that
the same algorithmic core is shared across the laboratory's
precision-livestock-farming and behavioural-biology projects.
references:
- type: software
title: "reRandomStats: Re-randomisation Statistics Toolkit"
version: "0.2.0"
doi: "10.5281/zenodo.20387255"
url: "https://github.com/zerotonin/reRandomStats"
authors:
- given-names: "Bart R.H."
family-names: Geurten
orcid: "https://orcid.org/0000-0002-1816-3241"