Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay

The present dataset contains three years of continuous, high-frequency air-quality monitoring of particulate matter (PM2.5 and PM10) in the metropolitan area of Asunción and the Western Region of Paraguay. Data were collected from eleven monitoring stations: nine in urban Asunción, one at the National University of Asunción campus in San Lorenzo, and one in the semi-rural Cerrito, Paraguayan Chaco. The monitoring period covers from April 2019 to December 2021. The monitoring network was established to record spatio-temporal variations in particulate matter concentrations throughout urban and semi-rural environments. Key meteorological variables, including temperature, relative humidity, atmospheric pressure, and wind direction, were continuously recorded to enable analysis of dispersion trends. Particulate matter concentrations were measured at five-minute intervals using Optical Particle Counters (OPC-N2), with data automatically transmitted to a central server every thirty minutes for quality control, storage, and processing. This dataset allows direct comparison with national air-quality standards established by the National Resolution No 259/2015 of the Ministry of Environment and Sustainable Development. Its full coverage supports policy evaluation, cross-sector assessments, and studies on environmental and public health impacts. Full technical documentation is included to secure transparency, traceability, and reproducibility, providing the basis for management and scientific research in Paraguay.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2026-04-07
DOI
https://doi.org/10.1016/j.dib.2026.112752
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay

Carolina Recalde, Diego H. Stalder, Angel Rincón, Luis P. Bernal
Data in Brief
Air Quality Monitoring and Forecasting
article

Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay

Carolina Recalde, Diego H. Stalder, Angel Rincón, Luis P. Bernal
article en

Abstract

The present dataset contains three years of continuous, high-frequency air-quality monitoring of particulate matter (PM2.5 and PM10) in the metropolitan area of Asunción and the Western Region of Paraguay. Data were collected from eleven monitoring stations: nine in urban Asunción, one at the National University of Asunción campus in San Lorenzo, and one in the semi-rural Cerrito, Paraguayan Chaco. The monitoring period covers from April 2019 to December 2021. The monitoring network was established to record spatio-temporal variations in particulate matter concentrations throughout urban and semi-rural environments. Key meteorological variables, including temperature, relative humidity, atmospheric pressure, and wind direction, were continuously recorded to enable analysis of dispersion trends. Particulate matter concentrations were measured at five-minute intervals using Optical Particle Counters (OPC-N2), with data automatically transmitted to a central server every thirty minutes for quality control, storage, and processing. This dataset allows direct comparison with national air-quality standards established by the National Resolution No 259/2015 of the Ministry of Environment and Sustainable Development. Its full coverage supports policy evaluation, cross-sector assessments, and studies on environmental and public health impacts. Full technical documentation is included to secure transparency, traceability, and reproducibility, providing the basis for management and scientific research in Paraguay.

Data in BriefVol. 66
Universidad Nacional de Asunción (PY)
Consejo Nacional de Ciencia y Tecnología, Paraguay
Openalex Percentile: Top 21%
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.