Marine sediments store carbon and are critical in the global carbon cycle, but data gaps reduce the accuracy of carbon stock estimates. This study improves estimates in the Irish Sea by refining key data inputs. Using machine learning and bias adjustments, the new model suggests previous estimates overestimated carbon stocks by 31.4 %. The findings highlight the need for more accurate sediment measurements to guide environmental policies and better protect carbon storage in marine ecosystems.