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Main Author: Okoshi, Kae
Format: Recurso digital
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.18729569
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author Okoshi, Kae
author_facet Okoshi, Kae
contents <p>This Zenodo record provides R code to reproduce univariable generalized linear mixed models (binomial, logit) for species detection (0/1) based on visual/acoustic surveys, including a facility-level random intercept (Facility_ID). The associated anonymized dataset and codebook are available via Zenodo (Concept DOI: 10.5281/zenodo.18729506). Raw eDNA sequence data are archived in the DDBJ Sequence Read Archive (BioProject PRJDB39741; runs DRR878002–DRR878115).</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18729569
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Kero-Mori: R code for univariable GLMMs of anuran detection (visual/acoustic surveys)
Okoshi, Kae
<p>This Zenodo record provides R code to reproduce univariable generalized linear mixed models (binomial, logit) for species detection (0/1) based on visual/acoustic surveys, including a facility-level random intercept (Facility_ID). The associated anonymized dataset and codebook are available via Zenodo (Concept DOI: 10.5281/zenodo.18729506). Raw eDNA sequence data are archived in the DDBJ Sequence Read Archive (BioProject PRJDB39741; runs DRR878002–DRR878115).</p>
title Kero-Mori: R code for univariable GLMMs of anuran detection (visual/acoustic surveys)
url https://doi.org/10.5281/zenodo.18729569