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Dataset Open Access

Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network

Maag, Balz; Hasenfratz, David; Saukh, Olga; Zhou, Zimu; Walser, Christoph; Beutel, Jan; Thiele, Lothar


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    <dct:title>Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network</dct:title>
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    <dcat:keyword>ultrafine particles</dcat:keyword>
    <dcat:keyword>mobile sensor network</dcat:keyword>
    <dcat:keyword>air pollution</dcat:keyword>
    <dcat:keyword>air quality</dcat:keyword>
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    <dct:description>&lt;p&gt;&lt;strong&gt;Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;This dataset contains one year (2012/04- 2013/04, ~11Mio. samples) worth of ultra-fine particle (UFP) concentration measurements collected by a mobile senor network. The sensors are mounted on top of 10 streetcars in the city of Zurich, Switzerland.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Hardware:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;Ultrafine particle sensor&lt;/strong&gt;: MiniDiSC (see also: Martin Fierz et al. Design, Calibration, and Field Performance of a Miniature Diffusion Size Classifier. Aerosol Science and Technology, Volume 45, 2011.)&lt;/li&gt; &lt;li&gt;&lt;strong&gt;GPS receiver&lt;/strong&gt;: u-blox EVK-6p&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;*.csv column format:&lt;/strong&gt;&lt;/p&gt; &lt;ol&gt; &lt;li&gt;Time of day: yyyy.mm.dd HH:MM&lt;/li&gt; &lt;li&gt;Latitude WGS84&lt;/li&gt; &lt;li&gt;Longitude WGS84&lt;/li&gt; &lt;li&gt;HDOP: horizontal dillusion of precision, uncertainty of the GPS position&lt;/li&gt; &lt;li&gt;Tram ID&lt;/li&gt; &lt;li&gt;Number of particles [#/ccm]&lt;/li&gt; &lt;li&gt;Average particle diameter [nm]&lt;/li&gt; &lt;li&gt;LDSA: lung deposited surface area [um2 /cm3]&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;&lt;strong&gt;Data quality:&lt;/strong&gt;&lt;br&gt; The data has been post-processed by performing a periodic null-offset calibration and &amp;nbsp;filtering samples during malfunction.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;References:&lt;/strong&gt;&lt;br&gt; The dataset has been used and is described in more detail in the following publications:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;David Hasenfratz et al.&lt;em&gt; Pushing the Spatio-Temporal Resolution Limit of Urban Air Pollution Maps.&lt;/em&gt; IEEE International Conference on Pervasive Computing and Communications (PerCom). Budapest, Hungary, March 2014. Best Paper Award.&amp;nbsp;&lt;/li&gt; &lt;li&gt;David Hasenfratz et al. &lt;em&gt;Deriving High-Resolution Urban Air Pollution Maps Using Mobile Sensor Nodes. &lt;/em&gt;Pervasive and Mobile Computing. Elsevier, 2015.&amp;nbsp;&lt;/li&gt; &lt;li&gt;David Hasenfratz et al. &lt;em&gt;Demo Abstract: Health-Optimal Routing in Urban Areas.&lt;/em&gt; ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). Seattle, USA, April 2015.&lt;/li&gt; &lt;li&gt;Michael M&amp;uuml;ller et al. &lt;em&gt;Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network. &lt;/em&gt;Atmospheric Environment. Elsevier, 2016.&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;For further information, visit: &amp;nbsp;&lt;a href="http://www.opensense.ethz.ch"&gt;http://www.opensense.ethz.ch&lt;/a&gt;&lt;/p&gt;</dct:description>
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