Raw data collected from NO 2 , O 3 and NO air pollution electrochemical low-cost sensors.

ABSTRACT: Recently, the monitoring of air pollution by means of low-cost sensors has become a growing research field due to the study of techniques based on machine learning to improve the sensors' data quality. For this purpose, sensors undergo a calibration process, where these are placed in-situ nearby a regulatory reference station. The data set explained in this paper contains data from two self-built low-cost air pollution nodes deployed for four months, from January 16, 2021 to May 15, 2021, at an official air quality reference station in Barcelona, Spain. The goal of the deployment was to have five electrochemical sensors at a high sampling rate of 0.5 Hz; two NO 2 sensors, two O 3 sensors, and one NO sensor. It should be noted that the reference stations publish air pollution data every hou

SUBMITTER: Ferrer-Cid P 

PROVIDER: S-EPMC9508507 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature