10.5281/zenodo.1415369
https://zenodo.org/records/1415369
oai:zenodo.org:1415369
Maag, Balz
Balz
Maag
0000-0002-2925-4560
ETH Zurich
Hasenfratz, David
David
Hasenfratz
Saukh, Olga
Olga
Saukh
CSH Wien, TU Graz
Zhou, Zimu
Zimu
Zhou
ETH Zurich
Walser, Christoph
Christoph
Walser
Beutel, Jan
Jan
Beutel
ETH Zurich
Thiele, Lothar
Lothar
Thiele
ETH Zurich
Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network
Zenodo
2018
ultrafine particles
mobile sensor network
air pollution
air quality
2018-09-13
10.5281/zenodo.1415368
Creative Commons Attribution 4.0 International
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