ARIES: ARtificial Intelligence for Environment & Sustainability recently conducted a comprehensive review of models, data sources, and valuation methods for ecosystem service assessments aligned with the SEEA EA framework. This review, undertaken as part of the Kunming-Montreal Global Biodiversity Framework (GBF), aims to contribute to achieving Target 11 by 2030. The analysis provides a comprehensive overview of candidate models, data sources, and SEEA-compatible valuation methods for ecosystem service assessments. It highlights methodologies from various countries, emphasizing the importance of addressing ecosystem service sheds and calibration for accurate quantification. The summary table adheres to FAIR principles of data management and underscores the need for ongoing collaboration and updates to enhance scientific assessments and inform policy decisions.