Dataset Open Access
Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms"
Pau Ferrer-Cid;
Jose M. Barcelo-Ordinas;
Jorge Garcia-Vidal;
Ana Ripoll;
Mar Viana
Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms", submitted for publication. The data consists of: (i) raw data from three nodes with four MICS 2614 metal-oxide ozone sensors deployed in Spain, summer 2017, and (ii) raw data of five alphasense OX-B431 and NO2-B43F electro-chemical sensors, four deployed in Italy and one in Austria, summers 2017 and 2018. Moreover, we have added the calibrated data using four machine learning methods: Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR).
| Name | Size | |
|---|---|---|
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Data.zip
md5:72a74f0e2f1086df5b88333ae84fed80 |
573.8 kB | Download |
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Data_description_Zenodo.pdf
md5:87e522c721f9b4a12763ff1eed719cfb |
187.3 kB | Download |
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Long-term-concentrations.zip
md5:6e5814f7a70e449ca8bc261cdfea71cc |
719.2 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 256 | 256 |
| Downloads | 84 | 84 |
| Data volume | 30.4 MB | 30.4 MB |
| Unique views | 226 | 226 |
| Unique downloads | 59 | 59 |
- Publication date:
- May 28, 2019
- DOI:
-
- Keyword(s):
- air quality sensors low-cost ozone nitrogen dioxide metal-oxide electro-chemical
- Grants:
-
European Commission:
- CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110)
- License (for files):
- Creative Commons Attribution 4.0 International