| Summary: | Extratropical cyclones (ECs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale EC structures remains poorly understood. The availability of moisture parameters to the scientific community through tracer dispersion models benefits the representation of the processes involving moisture, the dynamics of ECs and the understanding of the associated meteorological fields. In this study, we present a database for North Atlantic EC tracks and a Lagrangian-Derived Moisture Uptake Dataset, both of which are derived from dynamically downscaled ERA5 reanalysis data. We provide moisture parameters such as the total moisture uptake, its vertical distribution by layer, and shapefiles of EC structures to facilitate further studies in this area. Our data have been thoroughly validated to ensure that the storm tracks and their characteristics are accurately represented in the model without distortion. Additionally, we conduct a series of experiments to demonstrate the rigour and quality of the methods employed to generate the data. *You are in the repository that contains the year's dataset between 2017-2022* Repository for years: 1985-1999: https://doi.org/10.5281/zenodo.11454946 2000-2016: https://doi.org/10.5281/zenodo.11476835
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