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Toward a unified terminology of processing levels for low-cost air-quality sensors
Schneider, P., Bartonova, A., Castell, N., Dauge, F. R., Gerboles, M., Hagler, G. S. W., … Williams, R. W. (2019). Toward a unified terminology of processing levels for low-cost air-quality sensors. Environmental Science and Technology, 53(15), 8485-8487. https://doi.org/10.1021/acs.est.9b03950
Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network
Mueller, M. D., Hasenfratz, D., Saukh, O., Fierz, M., & Hueglin, C. (2016). Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network. Atmospheric Environment, 126, 171-181. https://doi.org/10.1016/j.atmosenv.2015.11.033
Two-week NO<SUB>2</SUB> maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network
Mueller, M. D., Wagner, M., Barmpadimos, I., & Hueglin, C. (2015). Two-week NO2 maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network. Atmospheric Environment, 106, 1-10. https://doi.org/10.1016/j.atmosenv.2015.01.049