Association of greenness, nitrogen dioxide with the prevalence of hypertension among the elderly over 65 years old in China

NO2: This dataset utilizes artificial intelligence technology and takes into account the spatiotemporal heterogeneity of air pollution. It produces seamless ground NO2 data from big data (such as ground-based observations, satellite remote sensing products, atmospheric reanalysis, and model simulation data) from 2013 to 2020, covering the entire region of China. The spatial resolution is 10 km, and the temporal resolution is day, month, and year, with a unit of µ g/m3. NDVI: The normalized difference vegetation index (NDVI) of the study object was measured within a radius of 1000m using a medium resolution imaging spectral radiometer on NASA's Terra satellite. The research subjects are from the cross-sectional data of CLHLS from 2017 to 2018, and the research subjects are elderly people ≥ 65 years old.