This dataset contains hourly averaged meteorological data of air temperature (°C), relative humidity (%), and atmospheric pressure (hPa) collected from four automatic monitoring stations installed in the Tampico conurbation (northeast Mexico).The monitoring period spans from October 2023 to December 2025. Files are organized by station and by year (2023, 2024, and 2025) to facilitate structured access and long-term analysis. Measurements were recorded continuously under real field conditions, and hourly mean values were calculated from the original records. For each available day, up to 24 hourly averages per variable are reported, depending on data completeness.Data are provided in CSV format. Each file contains the calendar date, the hour of the day, and the corresponding hourly averaged meteorological variables. Hours are numbered from 1 to 24; however, the 24th hour is labeled as 00 to represent the final hourly interval of the reported day. After the temporal fields, the dataset includes air temperature (°C), relative humidity (%), and atmospheric pressure (hPa).Basic data screening was performed to verify temporal continuity and detect missing or inconsistent records. Observations outside physically plausible ranges or associated with incomplete timestamps were identified during preprocessing to ensure internal consistency.This dataset provides multi-year hourly meteorological information that can support environmental monitoring studies, atmospheric analysis, seasonal assessments, and interpretation of air quality measurements collected within the same monitoring frameworkThe dataset includes exclusively these three meteorological variables for the defined study period. Measurements were recorded continuously under real field conditions, and hourly mean values were calculated from the original records. For each available day, up to 24 hourly averages per variable are reported, depending on data completeness.Data are provided in CSV format. Each file contains the calendar date, the hour of the day, and the corresponding hourly averaged meteorological variables. Hours are numbered from 1 to 24; however, the 24th hour is labeled as 00 to represent the final hourly interval of the reported day. After the temporal fields, the dataset includes air temperature (°C), relative humidity (%), and atmospheric pressure (hPa).Basic data screening was performed to verify temporal continuity and detect missing or inconsistent records. Observations outside physically plausible ranges or associated with incomplete timestamps were identified during preprocessing to ensure internal consistency.This dataset provides multi-year hourly meteorological information that can support environmental monitoring studies, atmospheric analysis, seasonal assessments, and interpretation of air quality measurements collected within the same monitoring framework.

This dataset contains hourly averaged meteorological data of air temperature (°C), relative humidity (%), and atmospheric pressure (hPa) collected from four automatic monitoring stations installed in the Tampico conurbation (northeast Mexico).The monitoring period spans from October 2023 to December 2025. Files are organized by station and by year (2023, 2024, and 2025) to facilitate structured access and long-term analysis. Measurements were recorded continuously under real field conditions, and hourly mean values were calculated from the original records. For each available day, up to 24 hourly averages per variable are reported, depending on data completeness.Data are provided in CSV format. Each file contains the calendar date, the hour of the day, and the corresponding hourly averaged meteorological variables. Hours are numbered from 1 to 24; however, the 24th hour is labeled as 00 to represent the final hourly interval of the reported day. After the temporal fields, the dataset includes air temperature (°C), relative humidity (%), and atmospheric pressure (hPa).Basic data screening was performed to verify temporal continuity and detect missing or inconsistent records. Observations outside physically plausible ranges or associated with incomplete timestamps were identified during preprocessing to ensure internal consistency.This dataset provides multi-year hourly meteorological information that can support environmental monitoring studies, atmospheric analysis, seasonal assessments, and interpretation of air quality measurements collected within the same monitoring frameworkThe dataset includes exclusively these three meteorological variables for the defined study period. Measurements were recorded continuously under real field conditions, and hourly mean values were calculated from the original records. For each available day, up to 24 hourly averages per variable are reported, depending on data completeness.Data are provided in CSV format. Each file contains the calendar date, the hour of the day, and the corresponding hourly averaged meteorological variables. Hours are numbered from 1 to 24; however, the 24th hour is labeled as 00 to represent the final hourly interval of the reported day. After the temporal fields, the dataset includes air temperature (°C), relative humidity (%), and atmospheric pressure (hPa).Basic data screening was performed to verify temporal continuity and detect missing or inconsistent records. Observations outside physically plausible ranges or associated with incomplete timestamps were identified during preprocessing to ensure internal consistency.This dataset provides multi-year hourly meteorological information that can support environmental monitoring studies, atmospheric analysis, seasonal assessments, and interpretation of air quality measurements collected within the same monitoring framework.

This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.Dataset Content: - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10. - Meteorological variables: Wind Direction and Speed.Stations involved: - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E). - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. Data collection frequency: In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.Event context:After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.the original measurements (collected at one-minute intervals using Libelium-based IoT sensors) are available at higher temporal resolutions, such as minute or hourly, upon request. To access this high-resolution data, please contact Dr. Felipe Caballero at [email protected] or M.I.A. Mireya del Socorro Ovando Rocha at [email protected].

This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.Dataset Content: - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10. - Meteorological variables: Wind Direction and Speed.Stations involved: - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E). - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. Data collection frequency: In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.Event context:After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.the original measurements (collected at one-minute intervals using Libelium-based IoT sensors) are available at higher temporal resolutions, such as minute or hourly, upon request. To access this high-resolution data, please contact Dr. Felipe Caballero at [email protected] or M.I.A. Mireya del Socorro Ovando Rocha at [email protected].

This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.Dataset Content: - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10. - Meteorological variables: Wind Direction and Speed.Stations involved: - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E). - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. Data collection frequency: In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.Event context:After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.

This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.Dataset Content: - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10. - Meteorological variables: Wind Direction and Speed.Stations involved: - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E). - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. Data collection frequency: In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.Event context:After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.

This dataset contains pollutants concentration and meteorological data collected by several stations during a significant pollution event that occurred on February 11th, 2024. The data were gathered from air quality monitoring stations and meteorological stations located at various points, measuring a variety of pollutants and atmospheric parameters.Dataset Content: - Monitored pollutants: SO2, NO2, PM 2.5, and PM 10. - Meteorological variables: Wind Direction and Speed.Stations involved: - Air Quality. In Ciudad Madero the station AQS-MR (AQS2036303358325010004B002B, in Altamira AQS-ACI (AQS2036303358325010004D002B), in Tampico AQS-PT (AQS2036303358325010004F002B) located in Puente Tampico and AQS-TA near to the airport (AQS20363033583250100040002E). - Meteorological stations: ICIUDA228 [22.257, -97.823], ITAMPI7 [22.287, -97.894], ICIUDA207 [22.273, -97.841], ITAMPI4 [22.245, -97.863], ITAMPI9 [22.303, -97.883], IMIRAM24 [22.324, -97.872], IMIRAM25 [22.341, -97.887], IALTAM36 [22.404, -97.938], IALTAM35 [22.521, -98.127], and IALTAM33 [22.394, -97.895]. Data collection frequency: In the case of the weather, every 5 minutes, resulting in a total of 288 data points per day for each station. And in the case of the air quality, is every minute, resulting in a total of 1440 data points per day for each station.Event context:After citizen reports about rotten egg-like smell in the vicinity of the local oil refinery in the Tampico-Madero-Altamira conurbation on February 11th, 2024, the local media showed vapor emissions from a chimney in the refinery. The authorities later confirmed that an electrical failure turned off a burner in one of the refinery processes, which in turn, lead to the turning on of the emergency washing system of the chimney, which at the end, caused the perceived emissions. The first citizen report of the smell was registered about 14:00 hr. This dataset covers the period before and after the reported emissions, following the evolution of the criteria pollutants ( SO2, NO2, PM2.5 and PM10) as well as the meteorological conditions that lead to the spatial diffusion of the emissions in the conurbation. This dataset offers a valuable resource for analyzing the impact of environmental conditions on air quality and public health due to specific events like this.the original measurements (collected at one-minute intervals using Libelium-based IoT sensors) are available at higher temporal resolutions, such as minute or hourly, upon request. To access this high-resolution data, please contact Dr. Felipe Caballero at [email protected] or M.I.A. Mireya del Socorro Ovando Rocha at [email protected].