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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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  <dc:creator>Maag, Balz</dc:creator>
  <dc:creator>Hasenfratz, David</dc:creator>
  <dc:creator>Saukh, Olga</dc:creator>
  <dc:creator>Zhou, Zimu</dc:creator>
  <dc:creator>Walser, Christoph</dc:creator>
  <dc:creator>Beutel, Jan</dc:creator>
  <dc:creator>Thiele, Lothar</dc:creator>
  <dc:date>2018-09-13</dc:date>
  <dc:description>Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network

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.

Hardware:


	Ultrafine particle sensor: 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.)
	GPS receiver: u-blox EVK-6p


*.csv column format:


	Time of day: yyyy.mm.dd HH:MM
	Latitude WGS84
	Longitude WGS84
	HDOP: horizontal dillusion of precision, uncertainty of the GPS position
	Tram ID
	Number of particles [#/ccm]
	Average particle diameter [nm]
	LDSA: lung deposited surface area [um2 /cm3]


Data quality:
The data has been post-processed by performing a periodic null-offset calibration and  filtering samples during malfunction.

References:
The dataset has been used and is described in more detail in the following publications:


	David Hasenfratz et al. Pushing the Spatio-Temporal Resolution Limit of Urban Air Pollution Maps. IEEE International Conference on Pervasive Computing and Communications (PerCom). Budapest, Hungary, March 2014. Best Paper Award. 
	David Hasenfratz et al. Deriving High-Resolution Urban Air Pollution Maps Using Mobile Sensor Nodes. Pervasive and Mobile Computing. Elsevier, 2015. 
	David Hasenfratz et al. Demo Abstract: Health-Optimal Routing in Urban Areas. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). Seattle, USA, April 2015.
	Michael Müller et al. Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network. Atmospheric Environment. Elsevier, 2016.


For further information, visit:  http://www.opensense.ethz.ch</dc:description>
  <dc:identifier>https://zenodo.org/record/1415369</dc:identifier>
  <dc:identifier>10.5281/zenodo.1415369</dc:identifier>
  <dc:identifier>oai:zenodo.org:1415369</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.1415368</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>ultrafine particles</dc:subject>
  <dc:subject>mobile sensor network</dc:subject>
  <dc:subject>air pollution</dc:subject>
  <dc:subject>air quality</dc:subject>
  <dc:title>Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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