Dataset on indoor and outdoor PM2.5 concentrations at two residences using low-cost sensors in the Rio Grande Valley Region of South Texas

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-19 DOI:10.1016/j.dib.2025.111492

Kabir Bahadur Shah , Sai Deepak Pinakana , Mkhitar Hobosyan , Armando Montes , Amit U. Raysoni

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引用次数: 0

Abstract

Fine particulate matter (PM_2.5) is one of the criteria air pollutants associated with adverse respiratory and cardiovascular health effects. This dataset contains hourly and daily averaged measurements of PM_2.5 concentrations (µg/m³) collected from two residential homes in the Rio Grande Valley (RGV) Region of South Texas, using PurpleAir-II-SD low-cost sensor. In addition, the dataset also includes temperature (ºC) and relative humidity (%) measured by the sensors. The data was collected for one month during the summer season from indoor (kitchen) and outdoor (front yard) environments at two locations: Home-1 in Weslaco City from June 16, 2024, to July 16, 2024, and Home-2 in Mission City from June 22, 2024, to July 16, 2024. Furthermore, the resultant wind speed and wind direction data were obtained from nearby Texas Commission on Environmental Quality (TCEQ) Continuous Ambient Monitoring Station (CAMS) site, providing a better understanding of meteorological influences on air quality.

The raw PM_2.5 data were corrected using Barkjohn's US-wide correction equation to increase the accuracy of the measurements and are presented in the datasets. The dataset is available in three CSV files: one for Home-1, one for Home-2, and one for wind data (Wind Rose) from the TCEQ stations. This dataset has significant potential for reuse by researchers interested in air quality monitoring, exposure assessment, and the health impacts of PM_2.5. Furthermore, the study highlights the effectiveness of using low-cost sensors for continuous air quality monitoring in residential settings, thereby contributing to the growing body of air quality literature emanating from the U.S.-Mexico border region.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.