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        <datestamp>2026-09-30T16:05:50Z</datestamp>
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          <dc:title>&lt;b&gt;BreatheAccra PM2.5 and ERA5 meteorology for Greater Accra, Ghana (April 2023 - February 2025): analysis dataset and reproducible code&lt;/b&gt;</dc:title>
          <dc:creator>Abdullah Alhassan (24641895)</dc:creator>
          <dc:creator>Zainab Kunate Ismail (24656079)</dc:creator>
          <dc:creator>Abdul-Rauf Malimanga Alhassan (13258449)</dc:creator>
          <dc:subject>Air pollution processes and air quality measurement</dc:subject>
          <dc:subject>Air pollution modelling and control</dc:subject>
          <dc:subject>Applied statistics</dc:subject>
          <dc:subject>PM2.5</dc:subject>
          <dc:subject>harmattan</dc:subject>
          <dc:subject>Saharan dust</dc:subject>
          <dc:subject>West African monsoon</dc:subject>
          <dc:subject>low-cost sensors</dc:subject>
          <dc:subject>boundary layer</dc:subject>
          <dc:subject>ERA5</dc:subject>
          <dc:subject>generalized additive model</dc:subject>
          <dc:subject>mixed-effects model</dc:subject>
          <dc:subject>Accra</dc:subject>
          <dc:subject>Ghana</dc:subject>
          <dc:subject>air quality</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Quality-controlled daily PM2.5 from the BreatheAccra network of 62 corrected low-cost optical monitors across 19 municipal assemblies of the Greater Accra Metropolitan Area, Ghana, covering 1 April 2023 to 28 February 2025 (15,144 sensor-days), joined to co-located daily ERA5 and ERA5-Land meteorology. The deposit also contains derived series, model outputs, publication-resolution figures and the complete Python code that regenerates every number, table and figure in the associated paper and its supplementary material.&lt;/p&gt;&lt;p dir="ltr"&gt;The analysis shows that PM2.5 over Accra has two seasonal maxima, in December–February (harmattan) and in July, and that both remain 20–28% above what same-day meteorology predicts. It also checks ERA5 against automatic weather stations of the Trans-African Hydro-Meteorological Observatory (TAHMO) in Accra, and shows that the moisture predictors conventionally used together (air temperature, dew point, relative humidity) are severely collinear at this site. The TAHMO station data are not redistributed here, in line with TAHMO's data policy; the code that processes them is included, and they can be requested from TAHMO.&lt;/p&gt;&lt;p dir="ltr"&gt;Version history. Version 1: original deposit. Version 2: documentation only; a reference to an earlier journal submission was removed from the README and code comments. Version 3: adds the revision/ folder (analysis refitted with statsmodels, pyGAM and pyMannKendall; inference robust to serial correlation; ERA5 check against TAHMO stations; composition-adjusted trend; revised figures). The original data file and the version 1 code are unchanged.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T16:05:50Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33345036.v3</dc:identifier>
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