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Li, Chaofan [Author]; Budde, Matthias [Author]; Tremper, Paul [Author]; Schäfer, Klaus [Author]; Riesterer, Johannes [Author]; Redelstein, Johanna [Author]; Petersen, Erik [Author]; Khedr, Mohamed [Author]; Liu, Xiangsheng [Author]; Köpke, Marcel [Author]; Hussain, Sajjad [Author]; Ernst, Felix [Author]; Kowalski, Michal [Author]; Pesch, Markus [Author]; Werhahn, Johannes [Author]; Hank, Markus [Author]; Philipp, Andreas [Author]; Cyrys, Josef [Author]; Schnelle-Kreis, Jürgen [Author]; Grimm, Hans [Author]; Ziegler, Volker [Author]; Peters, Annete [Author]; Emeis, Stefan [Author]; Riedel, Till [Author];

SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors

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  • Media type: Text; E-Article
  • Title: SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors
  • Contributor: Li, Chaofan [Author]; Budde, Matthias [Author]; Tremper, Paul [Author]; Schäfer, Klaus [Author]; Riesterer, Johannes [Author]; Redelstein, Johanna [Author]; Petersen, Erik [Author]; Khedr, Mohamed [Author]; Liu, Xiangsheng [Author]; Köpke, Marcel [Author]; Hussain, Sajjad [Author]; Ernst, Felix [Author]; Kowalski, Michal [Author]; Pesch, Markus [Author]; Werhahn, Johannes [Author]; Hank, Markus [Author]; Philipp, Andreas [Author]; Cyrys, Josef [Author]; Schnelle-Kreis, Jürgen [Author]; Grimm, Hans [Author]; Ziegler, Volker [Author]; Peters, Annete [Author]; Emeis, Stefan [Author]; Riedel, Till [Author];
  • Published: Digilabs S.a.s., 2022-10-27
  • Published in: ProScience, 8 ; ISSN: 2283-5954
  • Language: English
  • DOI: https://doi.org/10.5445/IR/1000152095; https://doi.org/10.14644/dust2021.001
  • ISSN: 2283-5954
  • Keywords: Open Data ; Aerosol ; Air Quality ; DATA processing & computer science ; Particulate Matter ; Dataset
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: The increasing attention paid to urban air quality modeling places higher requirements on urban air quality datasets. This article introduces a new urban air quality dataset—the SmartAQnet2020 dataset—which has a large span and high resolution in both time and space dimensions. The dataset contains 248,572,003 observations recorded by over 180 individual measurement devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment equipped with meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV.
  • Access State: Open Access