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

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), PM(1), PM(2), PM(3), PM(5), PM(10)) optical particle counters positioned in two s...

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Detalles Bibliográficos
Autores principales: Licen, S., Barbieri, G., Cozzutto, S., Crosera, M., Adami, G., Barbieri, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Environmental Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722219/
https://www.ncbi.nlm.nih.gov/pubmed/31497628
http://dx.doi.org/10.1016/j.dib.2019.104250
Descripción
Sumario: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), PM(1), PM(2), PM(3), PM(5), PM(10)) 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.

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