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Seeing the air in detail: Hyperlocal air quality dataset co..:
Richard Sserunjogi
;
Joel Ssematimba
;
Deo Okure
...
http://www.sciencedirect.com/science/article/pii/S2352340922007065. , 2022
Link:
https://doi.org/10.1016/j.dib.2022.108512
RT Journal T1
Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:67102e51849b4e389c4bc6e16e52ab93&Exemplar=1&LAN=DE A1 Richard Sserunjogi A1 Joel Ssematimba A1 Deo Okure A1 Daniel Ogenrwot A1 Priscilla Adong A1 Lillian Muyama A1 Noah Nsimbe A1 Martin Bbaale A1 Engineer Bainomugisha PB Elsevier YR 2022 K1 Air quality dataset K1 Sub-Saharan Africa K1 Air pollution K1 PM2.5 K1 PM10 K1 Particulate matter K1 Computer applications to medicine. Medical informatics K1 R858-859.7 K1 Science (General) K1 Q1-390 JF http://www.sciencedirect.com/science/article/pii/S2352340922007065 LK http://dx.doi.org/https://doi.org/10.1016/j.dib.2022.108512 DO https://doi.org/10.1016/j.dib.2022.108512 SF ELIB - SuUB Bremen
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