USP Leste Gas Monitoring Well Dataset

• Rosa Virginia Encinas Quille USP / IPT
• Gabriela dos Santos Luchetti Vieira UNESP
• Leandro Gomes de Freitas IPT
• Pedro Luiz Pizzigatti Corrêa USP
• Solange Nice Alves de Souza USP
• Alexandre Muselli Barbosa IPT
• Felipe Valencia de Almeida USP

DOI: https://doi.org/10.5753/wcama.2025.9398

Abstract

The composition of gases in the soil can pose risks to human health and buildings. Time series analysis is an approach to understanding the impact of these gases better, as it allows us to identify patterns and trends over time. This dataset compiles historical data collected from the soils of USP Leste between 2014 and 2022, including methane, carbon dioxide, and hydrogen sulfide concentrations. In addition to providing a foundation for environmental studies, this dataset can be used to train machine learning models, allowing for the evaluation of their predictive capabilities and generalization potential.

References

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