Human experience in regulated offices (HERO) dataset: Synchronized multimodal physiological, environmental, perceptual, and video-derived measurements across structured office activities in a controlled indoor setting.

Overview

1. EAPlab at CIRIAF Interuniversity Research Centre of Pollution and Environment Mauro Felli, University of Perugia, Italy
2. Department of Theoretical and Applied Sciences, eCampus University, Italy
3. Department of Engineering, University of Perugia, Italy
4. Department of Industrial Engineering and Mathematical Sciences, Marche Polytechnic University, Italy
5. Department of Brain and Behavioural Science, University of Pavia, Italy

Abstract

The Human Experience in Regulated Offices (HERO) dataset is a synchronized, multimodal resource dataset designed to characterize human physiological and perceptual dynamics during realistic office activities in a controlled indoor setting. The dataset comprises data gathered on 24 voluntary healthy adults, each completing two laboratory sessions under distinct thermal regimens: Lower Temperature (LT; 22–24 °C) and Higher Temperature (HT; 30–32 °C), regulated within ±0.5 °C, conducted during the summer season in Köppen–Geiger Csa climate classification (temperate with dry and hot summer). In each session, participants followed a standardized nine-phase office-work protocol comprising an acclimation baseline, activity blocks, and interleaved washout periods, enabling analyses that explicitly account for activity type, sequencing, and recovery. The release integrates four-channel electroencephalography (EEG) acquired with a Muse-2 headband, electrodermal activity (EDA), and peripheral skin temperature (ST) recorded using an EmotiBit wrist-worn wearable sensor, indoor multi-domain environmental measurements acquired via the NEXT.ROOM facility, and phase-aligned surveys capturing multi-domain perceptions of the indoor environment and task experience. Visual context, such as, derived video quality check (QC)/coverage features, was recorded using laptop webcams. All data are distributed as level-0 device exports, restricted to the experimental window and enriched with consistent session identifiers and phase labels, while intentionally avoiding downstream preprocessing choices. The dataset is archived on Zenodo (DOI: 10.5281/zenodo.17957768) with documentation and code in the associated project’s GitHub repository.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

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Data

Datasets cited

• zenodo:17957768, at Zenodo; found in the text

Data Availability

ZenodoHuman Experience in Regulated Offices (HERO) (Original data) (https://zenodo.org/records/17957768).

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Dataset (level‑0) availability

All physiological streams are released exactly as exported from the acquisition hardware and confined to the predefined experimental windows. Each record is annotated solely with a session identifier and hierarchical phase descriptors—phase_name, phase_label, and phase_order. No downstream processing (e.g., filtering, artifact correction, signal decomposition, re-referencing, or independent-component analysis) has been applied. When the acquisition or export pipeline introduces irregular sampling or buffering artifacts, users may apply resampling strategies appropriate for their analysis. To support quality control, the accompanying inventory provides an approximate effective sampling rate derived from the timestamps, enabling reconstruction of uniformly sampled time series using the researcher’s preferred methodology.

The complete Level-0 raw recordings are archived on Zenodo [7]. These raw exports are distributed through an access-request procedure rather than unrestricted direct download. This access model allows tracking of dataset usage and ensures that users are informed about the dataset structure, preprocessing requirements, and appropriate citation practices before accessing the full raw recordings. The Zenodo dataset release therefore provides derived data information that enable suitability of the dataset, while the Level-0 recordings remain available through the Zenodo access form for researchers requiring the original device exports.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

• Authors: added Puneet Tomar (0000-0002-5168-5471); Dianel Ago (0009-0004-1653-5816); Gloria Cosoli (0000-0001-7982-208X); Veronica Martins Gnecco (0000-0002-5473-5075); Gianluca Sartini (0009-0009-4394-921X); removed Puneet Tomar; Dianel Ago; Gloria Cosoli; Veronica Martins Gnecco; Gianluca Sartini

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 10 authors, 8 keywords, 3 funders, 14 references.

Cite

This paper

Tomar, P., Ago, D., Pigliautile, I., Cosoli, G., Gnecco, V. M., Casaccia, S., Sartini, G., Mansi, S. A., Pisello, A. L., & Arnesano, M. (2026). Human experience in regulated offices (HERO) dataset: Synchronized multimodal physiological, environmental, perceptual, and video-derived measurements across structured office activities in a controlled indoor setting. Data in brief, 66, 112822. https://doi.org/10.1016/j.dib.2026.112822

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