A dataset of particulate matters measurements from a network of mobile and fixed sensors and monitoring stations in Rouen (Northwestern France)

This article presents a dataset comprising mobile and fixed measurements of particulate matters (PM) collected by means of low-cost sensors and monitoring stations in Rouen, France. The network includes two mobile sensors installed on buses (with measurements taken every 10 seconds), 22 AirSensEUR sensors on traffic lights (with measurements taken every minute) and three fixed monitoring stations (with measurements taken every 15 minutes). Both mobile sensors were provided by ATMOTrack and deployed as part of a feasibility study to assess the added value of a mobile sensing network. Data were collected over a 42-day period, from October 25, 2023 to December 6, 2023. Additionally, the dataset includes measurements of bus speed, internal relative humidity, internal temperature, and atmospheric pressure and gas measurements of O<sub>x</sub>, NO<sub>x</sub>, CO. This dataset can be used to develop methods for calibrating multisource network and studying the fusion of heterogeneous data. The availability of mobile data can assist organizations in identifying their needs and enhancing air quality (in this case, PM<sub>10</sub> and PM<sub>2.5</sub>) as well as the health of urban populations.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2025-03-01
DOI
https://doi.org/10.1016/j.dib.2025.111439
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A dataset of particulate matters measurements from a network of mobile and fixed sensors and monitoring stations in Rouen (Northwestern France)

Bruno Portier, Jean‐Michel Poggi, Michel Bobbia, Emma Thulliez
Data in Brief
Air Quality Monitoring and Forecasting
article

A dataset of particulate matters measurements from a network of mobile and fixed sensors and monitoring stations in Rouen (Northwestern France)

Bruno Portier, Jean‐Michel Poggi, Michel Bobbia, Emma Thulliez
article en

Abstract

This article presents a dataset comprising mobile and fixed measurements of particulate matters (PM) collected by means of low-cost sensors and monitoring stations in Rouen, France. The network includes two mobile sensors installed on buses (with measurements taken every 10 seconds), 22 AirSensEUR sensors on traffic lights (with measurements taken every minute) and three fixed monitoring stations (with measurements taken every 15 minutes). Both mobile sensors were provided by ATMOTrack and deployed as part of a feasibility study to assess the added value of a mobile sensing network. Data were collected over a 42-day period, from October 25, 2023 to December 6, 2023. Additionally, the dataset includes measurements of bus speed, internal relative humidity, internal temperature, and atmospheric pressure and gas measurements of O<sub>x</sub>, NO<sub>x</sub>, CO. This dataset can be used to develop methods for calibrating multisource network and studying the fusion of heterogeneous data. The availability of mobile data can assist organizations in identifying their needs and enhancing air quality (in this case, PM<sub>10</sub> and PM<sub>2.5</sub>) as well as the health of urban populations.

Data in BriefVol. 59
Université Paris Cité (FR), Université Paris-Saclay (FR), Université Paris-Seine (FR), Normandie Université (FR), Atmel (France) (FR), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
Openalex Percentile: Top 98%
Air Quality Monitoring and Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.