Dataset

This archive contains the frozen acoustic and temporal models used to analyze vocalizations recorded in a study examining the effects of partial privacy panels on dog behavior in a shelter dog adoption building. The acoustic detector identifies vocalization events, while the temporal model groups successive events into episodes using a previously established, frozen inter-event interval boundary.

The reproducibility package includes Python implementations, model parameters, specifications, event-level and recording-level outputs, verification results, and supporting documentation. The temporal Python implementation was reconstructed from the frozen model specification and verified against archived results; the original three-component mixture model was not refitted.

The archive is intended to support transparency, reproducibility, and independent examination of the computational methods used in the study. It does not include the original audio recordings.

Alternate Title

• Frozen Acoustic and Temporal Models Analyzing Dog Vocalizations

Creator

• Shyan-Norwalt, Melissa

License

• Attribution 4.0 International

Subject

• Animal Behavior, Animal Welfare, Shelter Dog

Geographic Subject

• Naples, Florida

Time Period

• 2013-2026

Submitter

Melissa Shyan-Norwalt

College

• Arts and Sciences

Department

• Psychology

Date Created

• 2026-10-03

Publisher

• University of Cincinnati

Language

• English

Note

• AI-assisted computational tools (ChatGPT, OpenAI) were used in developing, implementing, and verifying the acoustic and temporal models. The researcher directed the analyses, evaluated the outputs, and retains responsibility for the final methodology and archived materials.

Required Software

• No specialized software is required to extract the ZIP archive or view the CSV, JSON, and text files. Python 3 with NumPy, pandas, and SciPy is required to execute the computational models. FFmpeg may be needed for processing certain audio formats.

Digital Object Identifier (DOI)

Identifier: doi:10.7945/82zy-1k69
Link: https://doi.org/10.7945/82zy-1k69

This DOI link is the best way for others to cite your work.

Items

Thumbnail	Title	Date Uploaded	Visibility	Actions
	SHA256_REPOSITORY_MANIFEST.txt	2026-10-25	Open Access	Press to Select an action Download
	README_REPOSITORY.md	2026-10-25	Open Access	Press to Select an action Download
	acoustic_model_v1_2_counts.csv	2026-10-25	Open Access	Press to Select an action Download
	acoustic_model_v1_2_parameters.json	2026-10-25	Open Access	Press to Select an action Download
	acoustic_model_v1_2_checksums.txt	2026-10-25	Open Access	Press to Select an action Download
	Z_Acoustic_Model_v1.3_Reproducibility_Package.zip	2026-10-25	Open Access	Press to Select an action Download
	Z_Model_1_3_Boundary_Edge_Combined_Audit.zip	2026-10-25	Open Access	Press to Select an action Download
	acoustic_model_v1_2.py	2026-10-25	Open Access	Press to Select an action Download
	acoustic_model_v1_2_events.csv	2026-10-25	Open Access	Press to Select an action Download
	VERIFICATION.txt	2026-10-25	Open Access	Press to Select an action Download