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

机译:在三个月的调查中,在靠近工业热点的两个有人居住的地点收集了光学粒子计数器数据

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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.
机译:本文中的数据描述了对位于一体式循环钢铁厂附近的住宅中不同大小范围的颗粒物的监控。通过位于两个位置的八个通道(PM0.3,PM0.5,PM0.7,PM1,PM2,PM3,PM5,PM10)光学粒子计数器收集数据。在2015年6月至2015年9月的三个月调查中,数据记录为每个尺寸渠道的每分钟计数。其中包括基本的统计细化和箱线图以及原始数据。数据与“通过使用自组织映射算法由复杂的放射源附近的光学粒子计数器记录的空气颗粒物大小分布的变化特征” Licen等人,2019年进行,其中通过自组织进行统计细化提出了地图算法。

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