An anonymized companion dataset for studying privacy-preserving, long-term dB-only acoustic exposure dynamics in occupied office deployments.
This repository contains aggregate feature tables, mixed-effects model outputs, cross-deployment validation summaries, and publication figures. It does not contain raw audio, raw high-frequency logs, exact calendar dates, clock times, customer names, team labels, original floor labels, or labeled floor-plan images.
- Current prepared release:
v1.0.0 - GitHub repository: https://github.com/Pouya-Mansournia/acoustic-exposure-dynamics-dataset
- Zenodo DOI: 10.5281/zenodo.21503880
- Project type: scholarly dataset and manuscript companion material.
| Item | Public description |
|---|---|
| Main deployment | Deployment_A: 56 pseudonymized nodes across five anonymized floors |
| Validation deployment | Deployment_B: 13 pseudonymized nodes on one anonymized floor |
| Underlying records | 185,140,775 in Deployment A; 24,393,582 in Deployment B |
| Signal | Calibrated SPL-like dB values derived from 5 ms RMS windows |
| Raw audio | Not stored and not released |
| Public data level | Aggregate features, summaries, model outputs, and figures |
SPL-like means device-calibrated sound-level values derived from deployed firmware. It should not be interpreted as IEC-certified sound-level-meter output.
data/processed/main_deployment/: Deployment A aggregate features, pairwise metrics, mixed-effects outputs, and sensitivity analyses.data/processed/validation_deployment/: Deployment B aggregate validation features.data/processed/cross_deployment/: cross-deployment replication summaries.data/metadata/: public manifest, data dictionary, and pseudonymized sensor keys.figures/manuscript/: publication-ready anonymized figures.docs/: methodology notes and privacy limitations.
- Long-term office acoustic exposure analysis.
- Privacy-preserving acoustic monitoring research.
- Operational-regime comparison across workday, closed-day, and activity-window conditions.
- Testing whether average dB hides variability, high-exposure share, and quiet-period differences.
- Reproducing public model and sensitivity outputs from the manuscript.
This dataset supports operational acoustic observability, not standardized room-acoustic characterization. It cannot support claims about RT60, T20/T30, room impulse responses, absorption coefficients, speech content, sound-source identity, exact occupancy counts, or physical propagation time between nodes.
Event-level categories are operational case observations rather than statistically replicated interventions.
data/
metadata/
processed/
main_deployment/
validation_deployment/
cross_deployment/
figures/
manuscript/
docs/
- Start with
data/metadata/public_manifest.jsonfor the release inventory and privacy transform. - Use
data/metadata/data_dictionary.mdto interpret public fields. - Load the CSV files under
data/processed/for aggregate analysis, model review, or manuscript reproduction. - Use the figures under
figures/manuscript/as public, anonymized visual summaries.
If you use this dataset, cite this repository and the associated manuscript when available:
Mansournia, P. (2026). Acoustic Exposure Dynamics Dataset: Anonymized long-term dB-only office sound-level features for privacy-preserving acoustic monitoring research (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.21503880
See CITATION.cff for machine-readable citation metadata.
This repository is archived on Zenodo:
- DOI: 10.5281/zenodo.21503880
- GitHub release: https://github.com/Pouya-Mansournia/acoustic-exposure-dynamics-dataset/releases/tag/v1.0.0
- Zenodo metadata source:
.zenodo.json
The public aggregate dataset and documentation are released under the Creative Commons Attribution 4.0 International License.
Private raw data, raw logs, customer metadata, and any non-public deployment materials are not included in this release and are not licensed by this repository.