README – Popoola_egusphere-2026-2702_data

Description

This folder contains the datasets associated with a research article “Evaluating low-cost NDIR CO2 sensors for atmospheric observations in rural settings” by Popoola  O.A.M. et. al., published in Atmospheric Measurement Techniques (AMT) in 2026. The data are provided to support transparency, reproducibility and further scientific analysis.

Folder structure

The main folder, Popoola_egusphere-2026-2702_data, contains four subfolders:

Popoola_egusphere-2026-2702_data/
│
├── README – Popoola_egusphere-2026-270.txt
├── AG_S8_CO2_urban_rural_dataset/
│   └── *.csv
├── Magic_AG_K33_urban_rural/
│   └── *.csv
└── Met_Heathrow_Lakenheath/
    └── *.csv
└── Network_4_AG_sunrise_CO2_dataset/
    └── *.csv

Each subfolder (AG_S8_CO2_urban_rural_dataset, Magic_AG_S8_urban_rural, Met_Heathrow_Lakenheath, and Network_4_AG_sunrise_CO2_rural_dataset) contains comma-separated values (CSV) files associated with the published study.

Data format

All datasets are provided in CSV format and can be accessed using standard data analysis software, including R, Python, Mathematica, MATLAB and Microsoft Excel.

Column names, measurement units and data descriptions should be interpreted alongside the methods and supplementary information provided in the associated publication.

Data usage and citation

Users are requested to cite the associated article when using these datasets in publications, presentations or other research outputs.

Associated publication:

Olalekan A. M. Popoola, Paolo Cicuta, Rachel H. Georgiou, Lawrence Tom, Ray Freshwater, Kelsey Leet, and Chiara Giorio (2026). Evaluating low-cost NDIR CO2 sensors for atmospheric observations in rural settings. Atmospheric Measurement Techniques. https://doi.org/10.5194/egusphere-2026-2702

Contact

For questions regarding the datasets, please contact:

[Olalekan A.M. Popoola]
[University of Cambridge]
oamp2@cam.ac.uk]

Notes

These datasets are provided as supporting research material for the published article. Users should consult the publication for details of the experimental methods, data processing, quality assurance and limitations.

Publication year: 2026
Journal: Atmospheric Measurement Techniques
Data format: CSV
