64 citations as recorded by crossref.

1. MUCCnet: Munich Urban Carbon Column network F. Dietrich et al. 10.5194/amt-14-1111-2021
2. In Situ Calibration Algorithms for Environmental Sensor Networks: A Review F. Delaine et al. 10.1109/JSEN.2019.2910317
3. Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
4. Evaluating the Performance of Using Low-Cost Sensors to Calibrate for Cross-Sensitivities in a Multipollutant Network M. Levy Zamora et al. 10.1021/acsestengg.1c00367
5. Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study J. Buelvas et al. 10.1007/s11270-023-06127-9
6. Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application A. Bigi et al. 10.5194/amt-11-3717-2018
7. Long-term behavior and stability of calibration models for NO and NO<sub>2</sub> low-cost sensors H. Kim et al. 10.5194/amt-15-2979-2022
8. Two step calibration method for ozone low-cost sensor: Field experiences with the UrbanSense DCUs J. Sá et al. 10.1016/j.jenvman.2022.116910
9. Deliberating performance targets workshop: Potential paths for emerging PM2.5 and O3 air sensor progress R. Williams et al. 10.1016/j.aeaoa.2019.100031
10. Identifying optimal co-location calibration periods for low-cost sensors M. Levy Zamora et al. 10.5194/amt-16-169-2023
11. Exploring how the heterogeneous urban landscape influences CO2 concentrations: The case study of the Metropolitan Area of Barcelona C. Estruch et al. 10.1016/j.ufug.2024.128438
12. Metrology for low-cost CO<sub>2</sub> sensors applications: the case of a steady-state through-flow (SS-TF) chamber for CO<sub>2</sub> fluxes observations R. Curcoll et al. 10.5194/amt-15-2807-2022
13. Integration and calibration of non-dispersive infrared (NDIR) CO<sub>2</sub> low-cost sensors and their operation in a sensor network covering Switzerland M. Müller et al. 10.5194/amt-13-3815-2020
14. Observing low-altitude features in ozone concentrations in a shoreline environment via uncrewed aerial systems J. Radtke et al. 10.5194/amt-17-2833-2024
15. Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. 10.1039/D3EA00138E
16. Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
17. Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments A. Collier-Oxandale et al. 10.5194/amt-11-3569-2018
18. Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
19. Low-Cost CO2 NDIR Sensors: Performance Evaluation and Calibration Using Machine Learning Techniques R. Dubey et al. 10.3390/s24175675
20. Development and evaluation of a robust temperature sensitive algorithm for long term NO2 gas sensor network data correction P. Wei et al. 10.1016/j.atmosenv.2020.117509
21. Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study S. Diez et al. 10.5194/amt-17-3809-2024
22. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
23. Policy-Relevant Assessment of Urban CO2 Emissions T. Lauvaux et al. 10.1021/acs.est.0c00343
24. A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles H. Fitzmaurice & R. Cohen 10.5194/acp-22-15403-2022
25. Transferability of machine-learning-based global calibration models for NO2 and NO low-cost sensors A. Abu-Hani et al. 10.5194/amt-17-3917-2024
26. Observing local CO<sub>2</sub> sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
27. Calibrating low-cost sensors to measure vertical and horizontal gradients of NO2 and O3 pollution in three street canyons in Berlin S. Schmitz et al. 10.1016/j.atmosenv.2023.119830
28. Stationary and portable multipollutant monitors for high-spatiotemporal-resolution air quality studies including online calibration C. Buehler et al. 10.5194/amt-14-995-2021
29. Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. 10.3390/s24134110
30. Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments F. Dallo et al. 10.5194/amt-14-6005-2021
31. Estimating CO2 emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
32. A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air pollution data C. Heffernan et al. 10.1214/23-AOAS1751
33. A Survey on Sensor Calibration in Air Pollution Monitoring Deployments B. Maag et al. 10.1109/JIOT.2018.2853660
34. Climate mitigation policies for cities must consider air quality impacts R. Commane & L. Schiferl 10.1016/j.chempr.2022.02.006
35. UNI-CAL: A Universal AI-Driven Model for Air Pollutant Sensor Calibration With Domain-Specific Knowledge Inputs Y. Han et al. 10.1109/ACCESS.2024.3410171
36. Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al. 10.1021/acs.estlett.9b00393
37. Gaps and future directions in research on health effects of air pollution R. Vilcassim & G. Thurston 10.1016/j.ebiom.2023.104668
38. Hyperlocal environmental data with a mobile platform in urban environments A. Wang et al. 10.1038/s41597-023-02425-3
39. Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al. 10.1029/2020GL090037
40. Evaluating uncertainty in sensor networks for urban air pollution insights D. Peters et al. 10.5194/amt-15-321-2022
41. Opportunities and challenges for filling the air quality data gap in low- and middle-income countries R. Pinder et al. 10.1016/j.atmosenv.2019.06.032
42. Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring R. Kureshi et al. 10.3390/s22031093
43. Propuesta híbrida para la captación y medición de CO2 edáfico empleando cámaras de incubación estáticas y secuestramiento de gases K. Ostaiza Demera et al. 10.22209/rt.ve2020n2a05
44. Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. 10.1016/j.egyr.2023.04.047
45. Novel Chemoresistive Sensors for Indoor CO2 Monitoring: Validation in an Operational Environment M. Magoni et al. 10.1021/acssensors.4c00171
46. Elucidating Contributions of Anthropogenic Volatile Organic Compounds and Particulate Matter to Ozone Trends over China C. Li et al. 10.1021/acs.est.2c03315
47. A portable sensor for the determination of tree canopy air quality W. Berelson et al. 10.1039/D3EA00057E
48. Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al. 10.1016/j.scitotenv.2019.134016
49. Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air R. Biagi et al. 10.1016/j.heliyon.2024.e29772
50. Merging citizen science with epidemiology: design of a prospective feasibility study of health events and air pollution in Cologne, Germany S. Soja et al. 10.1186/s40814-023-01250-0
51. Tracking the atmospheric pulse of a North American megacity from a mountaintop remote sensing observatory Z. Zeng et al. 10.1016/j.rse.2020.112000
52. Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al. 10.1016/j.atmosenv.2018.09.030
53. Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks S. Takahama et al. 10.5194/amt-12-525-2019
54. Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
55. Atmospheric Chemistry Analysis: A Review P. Forbes 10.1021/acs.analchem.9b04623
56. Assessing vehicle fuel efficiency using a dense network of CO<sub>2</sub> observations H. Fitzmaurice et al. 10.5194/acp-22-3891-2022
57. Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicative A. Caseiro et al. 10.1039/D2EA00085G
58. The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
59. Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. 10.1016/j.scitotenv.2024.175428
60. Utility of a Low-Cost, Dense Sensor Network for the Study of Air Quality Impact Upon Human Health in Urban and Rural Areas S. Alexander et al. 10.1891/0739-6686.38.1
61. Characterizing Elevated Urban Air Pollutant Spatial Patterns with Mobile Monitoring in Houston, Texas D. Miller et al. 10.1021/acs.est.9b05523
62. Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings A. Wang et al. 10.1016/j.atmosenv.2023.119692
63. Optimising Citizen-Driven Air Quality Monitoring Networks for Cities S. Gupta et al. 10.3390/ijgi7120468
64. Comparing Building and Neighborhood-Scale Variability of CO2 and O3 to Inform Deployment Considerations for Low-Cost Sensor System Use A. Collier-Oxandale et al. 10.3390/s18051349