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Welcome to the latest release of the RAM Legacy Stock Assessment Data Base. 

The RAM Legacy Stock Assessment Database is a compilation of stock assessment results for commercially exploited marine populations from around the world. It is inspired by Dr. Ransom A. Myers’ original stock-recruitment database, which is no longer being updated.

We welcome collaborators who are interested in using the database in their research and in further expanding the database contents. We continually aim to increase our coverage of individual assessed stocks or entire countries with assessed stocks that are not currently in the database. Please contact Daniel Hively if you would like to contribute to the database, collaborate on analyses, or report errors.

Users can download the full database and documentation files here, or download graphical summaries for a single region on each region page.

 

Suggested Citations

Current and older versions of the RAM Legacy Database are archived in Zenodo, each version with its own unique DOI. The suggested format for citing data is:

RAM Legacy Stock Assessment Database. 2018. Version 4.44-assessment-only. Released 2018-12-22. Accessed [Date accessed YYYY-MM-DD]. Retrieved from DOI:10.5281/zenodo.2542919.

The primary publication describing the RAM Legacy Stock Assessment Database, and suggested citation for general use is:

Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (2012) Evaluating the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish and Fisheries 13 (4) 380-398. DOI: 10.1111/j.1467-2979.2011.00435.x

Several publications have relied on the RAM Legacy Stock Assessment Database.

 

Acknowledgements

We are grateful to the many stock assessment scientists whose work this database is based upon and the many collaborators who recorded the assessment model results for inclusion in the RAM Legacy Stock Assessment Database.

Since 2011 the RAM Legacy Database has been hosted and managed at the University of Washington with financial assistance from a consortium of Seattle-based seafood companies and organizations, and from the Walton Family Foundation.  

Initial development of the data base from 2006-2010 was supported by the Census of Marine Life, Canadian Foundation for Innovation, NCEAS, NSERC, the Smith Conservation Research Fellowship, New Jersey Sea Grant, and the National Science Foundation.