Daily Air Pollution, Meteorology, and Hospitalization Dataset – Lisbon

Title: Daily Air Pollution, Meteorology, and Hospitalization Dataset – Lisbon Description:This dataset contains daily measurements of air pollutants, meteorological variables, and hospital admissions in a hospital in Lisbon (name confidential), aimed at supporting research on environmental health and modeling the impacts of air pollution on public health. Included variables: NO2 – Daily nitrogen dioxide concentration (µg/m³) PM10 – Daily coarse particulate matter concentration (µg/m³) PM2.5 – Daily fine particulate matter concentration (µg/m³) Minimum Temperature – Daily minimum temperature (°C) Maximum Temperature – Daily maximum temperature (°C) Mean Temperature – Daily mean temperature (°C) Relative Humidity – Daily mean relative humidity (%) Surface Pressure – Surface pressure (hPa) wind_speed_10m_mean – Daily mean wind speed at 10 m (m/s) wind_dir_10m_mean – Daily mean wind direction at 10 m (°) Hospital Admission – Daily number of hospital admissions This dataset enables: Analysis of the relationships between air pollution, meteorology, and population health. Development of predictive models for hospital admissions related to air quality and weather conditions. Support for research on public health policies and environmental risk mitigation. Suggested citation:Helder Relvas et al., ODESSA Project – Daily Air Pollution, Meteorology and Hospitalization Dataset (Lisbon), Zenodo, 2026.