This dataset lists the global monthly-spatially aggregated catch of tuna and tuna-like species (i.e. billfish,bonitos,and mackerel) from 1950-01-01 to 2019-12-31. This dataset was computed using public domain georeferenced catch-and-effort datasets released by the five tuna Regional Fisheries Management Organizations:the Commission for the Conservation of Southern Bluefin Tuna (CCSBT),the Inter-American Tropical Tuna Commission (IATTC),the International Commission for the Conservation of Atlantic Tunas (ICCAT),the Indian Ocean Tuna Commission (IOTC) and the Western and Central Pacific Fisheries Commission (WCPFC). Species-specific catches expressed in weight or number are stratified by year,month,reporting / fishing fleet,fishing gear,fishing mode (i.e. type of school association) and area (statistical squares of 1° or 5° longitude and latitude). "FIRMS level 0" identifies the processes applied to the primary datasets by the FIsheries and Resources Monitoring System (FIRMS) to generate the dataset. t-RFMO specific descriptions of the original input data sets can be found at the following links: - CCSBT:https://www.ccsbt.org/en/content/sbt-data - IATTC:https://www.iattc.org/PublicDomainData/IATTC-Catch-by-species1.htm - ICCAT:https://www.iccat.int/en/accesingdb.html - IOTC:https://iotc.org/data/datasets/latest/CEAll - WCPFC:https://www.wcpfc.int/public-domain The processes applied to produce this FIRMS level 0 dataset at global scale consist of a series of steps:Original catch-and-effort data are disseminated in such a way that redundancy may exist between the various datasets released,or that dimensions may be split over the datasets for some strata. To cope with these issues and collate a unique and (possibly) complete value of catch per stratum (i.e. with all the available dimensions),the original datasets had to be merged and post-processed by removing the duplicated strata or reassembling those strata with all available dimensions split over multiple datasets;Removal of WCPFC data within the overlapping zone ...