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PM2.5 and AOD measurements from the Citizen Enabled Aerosol Measurements for Satellites (CEAMS) 2019 Denver deployment

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dc.contributor.authorCheeseman, Michael
dc.contributor.authorFord, Bonne
dc.contributor.authorPierce, Jeff
dc.contributor.authorRosen, Zoey
dc.contributor.authorEric, Wendt
dc.contributor.authorAlex, DesRosiers
dc.contributor.authorHill, Aaron
dc.contributor.authorL'Orange, Christian
dc.contributor.authorQuinn, Casey
dc.contributor.authorLong, Marilee
dc.contributor.authorJathar, Shantanu
dc.contributor.authorVolckens, John
dc.coverage.spatialDenver (Colo.)en_US
dc.coverage.temporal2019-11-14-2020-01-20en_US
dc.date.accessioned2021-09-09T21:25:08Z
dc.date.available2021-09-09T21:25:08Z
dc.date.issued2021
dc.descriptionThis dataset includes PM2.5 and AOD measurements collected by the Aerosol Mass and Optical Depth (AMOD) sensors developed by the Citizen Enabled Aerosol Measurements for Satellites (CEAMS) team. Here we present data from the CEAMS deployment during the winter of 2019-2020 in Denver, CO, USA. Thirty-two participants were recruited from across Denver through collaboration with the Community Collaborative Rain, Hail and Snow (CoCoRaHS) citizen scientist network.en_US
dc.descriptionDepartment of Mechanical Engineering
dc.descriptionDepartment of Atmospheric Science
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA) grant number 80NSSC18M0120 and NASA Health and Air Quality Applied Sciences Team grant number 80NSSC21K0429.en_US
dc.format.mediumZIP
dc.format.mediumTXT
dc.identifier.urihttps://hdl.handle.net/10217/233884
dc.identifier.urihttp://dx.doi.org/10.25675/10217/233884
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyCheeseman, M., Ford, B., Rosen, Z., Wendt, E., DesRosiers, A., Hill, A. J., L'Orange, C., Quinn, C., Long, M., Jathar, S. H., Volckens, J., and Pierce, J. R.: Technical note: Investigating sub-city gradients of air quality: lessons learned with low-cost PM2.5 and AOD monitors and machine learning, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-751, 2021.en_US
dc.subjectParticulate matteren_US
dc.titlePM2.5 and AOD measurements from the Citizen Enabled Aerosol Measurements for Satellites (CEAMS) 2019 Denver deploymenten_US
dc.typeDataseten_US

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