Air Quality Utilizing Indoor AI Sensors (AQUINAS) - Postprocessing data
FAIR Overall Score
Abstract
This research provides knowledge on the performance and limitations of low-cost environmental sensors in real usage conditions. The EQ-OX platform will be used and the collected data will be compared to those of the reference station. The main purpose of this research is to compare these data and try to correct them through the use of machine learning algorithms.
Keywords
Digital Object Identifier (DOI)
https://doi.org/10.48784/03475737-55e5-4c93-9ceb-5563c8eb1644
Legal constraints
Attribution 4.0 International (CC BY 4.0): You are free to share and adapt under the following conditions: attribution and no additional restriction. (https://creativecommons.org/licenses/by/4.0/deed.en)
Contact for metadata
Eurac Research - Center for Sensing Solutions
supportcss@eurac.edu
Viale Druso, 1 / Drususallee 1, eurac research, Bolzano, Autonomous Province of Bolzano, 39100, Italy
FAIR Overall Score: 96%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 100% | 7 of 7 | advanced |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 100% | 6 of 6 | advanced |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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