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Data · dataset · 2025

Statistical correlation analysis on indoor air high-priority pollutants in Spanish public primary schools [Dataset]

Listed in e-cienciaDatos

The project conducted presents a comprehensive assessment of indoor air quality in public primary schools across Madrid (Spain).

Description

Several classrooms have been monitored for a year, registering indoor air concentrations and outdoor ambient levels. Later, a statistical analysis has been performed to explore correlations between indoor air pollutant concentrations during occupied and unoccupied periods, as well as the impact of student activities and classroom operation, among other factors.

The dataset provides monitoring information of indoor and outdoor variables included in one file named as "Dataset_SchoolMonitoring.csv". Specifically, four Public Primary Schools were monitored in Madrid (Spain), registering indoor air quality data (from 2 to 3 classrooms per school) and outdoor air quality information from both punctual measurements and a local weather station close to the schools.Punctual monitoring measures were conducted during February, April, May, October and December in 2023.

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Specifically, indoor variables monitored in the classrooms are refered to: - TVOC (ppb) - Ultrafine PM (from 0.02 to 1 μm) (part./cm3) - PM0.3 (part./cm3and μg/m3) - PM1 (part./cm3 and μg/m3) - PM2.5 (part./cm3 and μg/m3) - CO2 (ppm) - Temperature (ºC) - Relative Humidity (%) - Formaldehyde (µg/m3) Also, punctual outdoor measurements of the aforementioned parameters have been also included in the dataset. Additionally, outdoor variables recorded in a local weather station have also been incorporated into the dataset: - Wind speed (m/s) - Wind direction (º) - Outdoor temperature (ºC) - Outdoor Relative humidity (%) - Atmospheric pressure (mb) - Solar Radiation (W/m2) - Rain (l/m2) - NO (µg/m3) - NO2 (µg/m3) - PM10 (µg/m3) - Nox (µg/m3) - O3 (µg/m3) Furthermore, indoor students interaction and classroom operation aspects are incorporated into the study through several variables, which are assigned two possible values: 1 means "Open, ON, Considered"; while 0 means "Closed, OFF, None": - Door opening (1/0) - Window opening (1/0) - Artificial lights operation (1/0) - Students’ interaction (Activity) (1/0) - VOC emissions (Materials) (1/0) - PM emissions (1/0) - Technological devices (1/0) A more detail description of each variable may be found in the paper referenced in the Related publication section.

Punctual measurements were taken with several monitoring equipment (DRÄGER X-pid 9500, Particle counter PCE-PQC 12EU, P-Track Ultrafine 8525 TSI and DIOXCARE DX75 sensors) of the variables described in 4. Description of the dataset. After downloading the data from the sensors, the monitored information was processed and compiled to create a .csv file using the open access .R software v. 4.3.3.

Any tool which may read .csv files may be used to open the file (Notepad, Excel, .R or similar). This dataset was conducted under the Research Project: "Lime4Health. Analysis of the contribution of lime coatings to the achievement of healthy interior spaces" (PID2021-123023OA-I00) funded by the MCIN/AEI/10.13039/501100011033/and FEDER “Una manera de hacer Europa.

This research assesses the effectivity of altering indoor coatings in the reduction and or elimination of indoor pollutants, as a stand-alone action and in combination with modifying users’habits. Carmen María Calama González acknowledges the support of the Aid JDC2022-048263-I, funded by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR.

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Medicine & Health
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e-cienciaDatosdoi:10.21950/RUCDVO13 d agoJSON v1
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