AQUAIR Dataset

Dataset overview:
This repository contains the AQUAIR Dataset, a high-resolution log of indoor-environment quality (IEQ) gathered in a trout (Oncorhynchus mykiss) hatchery room at Amghass, Azrou, Morocco. Six airborne variables—air temperature, relative humidity, carbon-dioxide (CO₂), total volatile organic compounds (TVOC), fine particulate matter (PM₂.₅) and inhalable particulate matter (PM₁₀)—were sampled every 5 minutes between 14 October 2024 and 09 January 2025. The data are provided as two comma-separated files:

AQUAIR_1.csv : Contains data recorded from 14th October 2024 to 10th December 2024, has a total of 16 533 rows.
AQUAIR_2.csv : Contains data recorded from 15th December 2024 to 9th January 2025, has a total of 7 323 rows.
Combined, the set delivers 23 856 time-stamped observations suitable for time-series modelling, forecasting, anomaly detection and studies of airborne stressors in aquaculture facilities.

Parameters and unitsParameter
Unit
Relevance in trout culture
Temperature
°C
Influences metabolic rate, feed conversion and dissolved-oxygen levels.
Relative humidity
% RH
High RH accelerates mould growth; low RH increases evaporation.
CO₂
ppm
Head-space CO₂ equilibrates with water; sustained excess slows growth.
VOC
ppb
Proxy for disinfectant off-gassing and human activity; ventilation indicator.
PM₂.₅
µg m⁻³
Fine particles can load bio-filters and irritate gill tissue.
PM₁₀
µg m⁻³
Coarser dust from feed handling and maintenance.

All values are recorded in SI units; timestamps use ISO-8601 in Coordinated Universal Time (UTC).

Reuse potentialBenchmark short-horizon IEQ forecasting (ARIMA, LSTM, transformer models).Develop anomaly detectors for hatchery monitoring dashboards.Correlate airborne conditions with fish-health metrics in future multi-modal studies.Validate low-cost sensor stability in high-humidity aquaculture environments.How to cite
If you use the AQUAIR dataset, please also cite our paper:
Sabiri, Y., Houmaidi, W., El Maadi, O., & Chtouki, Y. (2025). AQUAIR: A High-Resolution Indoor Environmental Quality Dataset for Smart Aquaculture Monitoring. arXiv:2509.24069. https://arxiv.org/abs/2509.24069
BibTeX:
@misc{sabiri2025aquairhighresolutionindoorenvironmental,
title={AQUAIR: A High-Resolution Indoor Environmental Quality Dataset for Smart Aquaculture Monitoring},
author={Youssef Sabiri and Walid Houmaidi and Ouail El Maadi and Yousra Chtouki},
year={2025},
eprint={2509.24069},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2509.24069},
}

Licence
Creative Commons Attribution 4.0 International (CC-BY-4.0).