Database of the Month: Project Euclid
December 7, 2016
Project Euclid is a mathematical sciences database that seeks to advance scholarly communication in theoretical and applied mathematics and statistics through partnerships with independent and society publishers. It was developed by the Cornell University Library and is now jointly managed with Duke University Press. It was originally created to provide a platform for small scholarly publishers of mathematics and statistics journals to move from print to electronic in a cost-effective way.
Through a combination of support by subscribing libraries* and participating publishers, Project Euclid has made 70% of its journal articles openly available. As of 2015, Project Euclid provides access to over 1.2 million pages of open-access content.
*Bentley Library is not a subscribing library.
Content
Search results display all relevant hits. The tables of contents and article abstracts are freely available to all users, and the following icons indicate whether or not the user can also access the full text for these items.
While the library does not currently subscribe to any licensed content, full-text is available for the following open-access titles.
- Annals of Mathematical Statistics
- Bayesian Analysis
- Berkeley Symposium on Mathematical Statistics and Probability
- Bulletin of the American Mathematical Society (1891-1991)
- Communications in Mathematical Physics (1965-1997)
- Electronic Communications in Probability
- Electronic Journal of Probability
- Electronic Journal of Statistics
- Hiroshima Mathematical Journal
- Institute of Mathematical Statistics Collections
- Institute of Mathematical Statistics Lecture Notes – Monograph Series
- Lecture Notes in Logic
- Notre Dame Mathematical Lectures
- NSF-CBMS Regional Conference Series in Probability and Statistics
- Osaka Journal of Mathematics
- Pacific Journal of Mathematics (1951-1996)
- Perspectives in Logic
- Probability Surveys
- Proceedings of the Centre for Mathematics and its Applications
- Proceedings of the Japan Academy, Series A, Mathematical Sciences
- Stochastic Systems
- Statistics Surveys