Optical particle counter data collected in two inhabited sites close to an industrial hot spot during a three months survey

S Licen; G Barbieri; S Cozzutto; M Crosera; G Adami; P Barbieri

doi:10.1016/j.dib.2019.104250

Optical particle counter data collected in two inhabited sites close to an industrial hot spot during a three months survey

Data Brief. 2019 Jul 15:25:104250. doi: 10.1016/j.dib.2019.104250. eCollection 2019 Aug.

Authors

S Licen¹, G Barbieri², S Cozzutto², M Crosera¹, G Adami¹, P Barbieri¹

Affiliations

¹ Dept. of Chemical and Pharmaceutical Sciences, University of Trieste, Via L. Giorgieri 1, 34127 Trieste, Italy.
² ARCO SolutionS s.r.l., Spin-off Company of the Dept. of Chemical and Pharmaceutical Sciences, University of Trieste, Via L. Giorgieri 1, 34127 Trieste, Italy.

Abstract

Data on this paper describe the monitoring of different size ranges of particulate matter on dwellings positioned close to an integral cycle steel plant. Data were collected by eight channel (PM_0.3, PM_0.5, PM_0.7, PM₁, PM₂, PM₃, PM₅, PM₁₀) optical particle counters positioned in two sites. The data were recorded as counts-per-minute for every size channel in a three months survey from June to September 2015. Basic statistical elaboration and boxplot graphs as well as raw data are included. The data are related to "Characterization of variability of air particulate matter size profiles recorded by Optical Particle Counters near a complex emissive source by use of Self-Organizing Map algorithm" Licen et al.,2019, in which a statistical elaboration by Self-Organizing Map algorithm is proposed.

Keywords: Ambient air; Optical particle counter; Particulate matter; Statistical analysis; Steel plant.