A framework for advancing independent air quality sensor measurements via transparent data generating process classification

Diez, Sebastian; Bannan, Thomas; Chacón, Miriam; Edwards, Pete; Ferracci, Valerio; Kılıç, Doğuşhan; Lewis, Alastair; Malings, Carl; Martin, Nicholas; Popoola, Olalekan; Rosales, Colleen; Schmitz,  Sean; Schneider, Philipp; Von Schneidemesser, Erika

Publication:
A framework for advancing independent air quality sensor measurements via transparent data generating process classification

Files

Aframework for advancing independent air quality sensor measurements via transparent data generating process classification.pdf (621.02 KB)

Date

2026

Type:

Article

Collections

Artículos Ingeniería

Descargas totales

0

Vistas totales

9

Métricas

Gestores bibliográficos

Authors

item.page.doiurl

https://doi.org/10.1038/s41612-025-01161-2

URI

https://hdl.handle.net/11447/11222

item.page.accessRights

Acceso Abierto

Abstract

We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications....

Citation

Diez, S., Bannan, T.J., Chacón-Mateos, M. et al. A framework for advancing independent air quality sensor measurements via transparent data generating process classification. npj Clim Atmos Sci 8, 285 (2025). https://doi.org/10.1038/s41612-025-01161-2

Keywords

Quality sensor measurements

Estadísticas de uso

9 7 5 2 0