This dataset contains No2, NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1). This pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.

This dataset contains No2 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1). This pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.

This dataset contains NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1). This pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.

This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia. It provides daily average concentration of ozone and PM2.5, PM10 and ozone on a 0.1° x 0.1° grid for 2019 for 2 scenarios: (1) A baseline run (BASE) including wildfire emissions and (2) A scenario without wildfire emissions (NOFF). The EMEP4UK model version used here is rv5.0, and the WRF model version is 4.4.2. This work was supported by the Natural Environment Research Council as part of the NC for Global Challenges programme [NE/X006247/1] delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3