In the realm of wildfire research and analysis, the need for comprehensive and adaptable datasets has never been more critical. To address this imperative, we introduce the "Fire Season Multi-Resolution Database." This meticulously curated dataset represents a significant advancement in the realm of wildfire data, offering a versatile, multi-resolution approach to understanding the intricate dynamics of fire seasons. The Fire Season Multi-Resolution Database is a set of geospatial earth grids, thoughtfully designed to accommodate diverse research needs by providing information at varying levels of detail. Within each grid, a wealth of data is embedded, concerning fire seasons and their comprehensive characterizations at every individual pixel. Within each pixel of these multi-resolution grids, a set of nine variables about their respective fire seasons can be found. FsOrNot (int): a binary variable (0,1) that contains information whether a pixel has a fire season or not MainStart (int): Starting month of the fire season MainEnd (int) : Ending month of the fire season SecondStart (int): Start month of a possible secondary fire seasson (if it is bimodal) SecondEnd (int) : End month of the secondary fire seasson Length (int): Months that lasts the fire season C (float): Seasonal concentration of the fire seasson P (float): Seasonal phase or timming of the fire season FBA (float): Fraction of Burneable Area The sources of information used to build this dataset is the Copernicus project, specifically the web page: https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-fire-burned-area?tab=overview. This dataset has been constructed with the aim of enhancing wildfire research and aiding in the development of effective wildfire management and mitigation strategies.