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SmartAQnet 2020 Dataset

Li, Chaofan ORCID iD icon; Budde, Matthias; Chaofan Li; Budde, Matthias; Riedel, Till ORCID iD icon; Schäfer, Klaus; Beigl, Michael; Karlsruhe Institute Of Technology (KIT); Tremper, Paul ORCID iD icon; Schäfer, Klaus; Riesterer, Johannes; Redelstein, Johanna; Petersen, Erik; Khedr, Mohamed; Liu, Xiangsheng; Köpke, Marcel; Hussain, Sajjad; Ernst, Felix ORCID iD icon; Kowalski, Michal; ... mehr

Abstract:

This is the dataset collected by the SmartAQnet project. The dataset was collected in the model region of Augsburg, Germany between 2017 and 2020 and contains 248,572,003 observations recorded by over 180 individual devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment using meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV. Detailed description of the dataset could be found in the dataset discription paper "SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors" (DOI: 10.14644/dust2021.001).


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Originalveröffentlichung
DOI: 10.35097/540
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Forschungsdaten
Publikationsjahr 2022
Identifikator KITopen-ID: 1000170206
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Atmospheric Science, Meteorology, Air Quality, Aerosol, Particulate Matter, Open Data
Art der Forschungsdaten Dataset
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