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

被引：2

作者：

Licen, S. ^{[1
]}

Barbieri, G. ^{[2
]}

Cozzutto, S. ^{[2
]}

Crosera, M. ^{[1
]}

Adami, G. ^{[1
]}

Barbieri, P. ^{[1
]}

机构：

[1] Univ Trieste, Dept Chem & Pharmaceut Sci, Via L Giorgieri 1, I-34127 Trieste, Italy

[2] Univ Trieste, Dept Chem & Pharmaceut Sci, Spinoff Co, ARCO Solut Srl, Via L Giorgieri 1, I-34127 Trieste, Italy

来源：

DATA IN BRIEF | 2019年 / 25卷

关键词：

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

D O I：

10.1016/j.dib.2019.104250

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 (PM0.3, PM0.5, PM0.7, 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. (c) 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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