The dataset presents a 43 year-long reanalysis of pollen seasons for three major allergenic genera of trees in Europe: alder (Alnus), birch (Betula), and olive (Olea). Driven by the meteorological reanalysis ERA5, the atmospheric composition model SILAM predicted the flowering period and calculated the Europe-wide dispersion pattern of pollen for the years 1980–2022. The model applied an extended 4-dimensional ...
The advent of automatic pollen and fungal spore monitoring over the past few years has brought about a paradigm change. The provision of real-time information at high temporal resolution opens the door to a wide range of improvements in terms of the products and services made available to a widening range of end-users and stakeholders. As technology and methods mature, it is essential to properly quantify the i...
Background Ambient air quality monitoring is a governmental duty that is widely carried out in order to detect non-biological (“chemical”) components in ambient air, such as particles of < 10 µm (PM10, PM2.5), ozone, sulphur dioxide, and nitrogen oxides. These monitoring networks are publicly funded and air quality data are open to the public. The situation for biological particles that have detrimental effects...
Background: Grass pollen is considered to be the most important outdoor aeroallergen in Europe. The grass ‘pollen count’ is usually used as a proxy for exposure. However, HIALINE has shown that the birch and olive pollen count is not always congruent with allergen concentrations. We therefore simultaneously measured daily exposure to grass pollen and the concentration of group 5 major allergens across eight cou...
Background: Ole e 1 is the major allergen of olive pollen (Olea europaea L.), the second largest cause of pollinosis in some areas from the Mediterranean Region. Although it has been assumed that airborne pollen is a representative parameter for allergen exposure, variability of allergen content and/or release from pollen has been demonstrated for other taxa. The aim of this study was to: i) estimate the correl...