Abstract
The Science Environment for Ecological Knowledge (SEEK) is designed to help ecologists overcome data integration and synthesis challenges. The SEEK environment enables ecologists to efficiently capture, organize, and search for data and analytical processes. We describe SEEK and discuss how it can benefit ecological niche modeling in which biodiversity scientists require access and integration of regional and global data as well as significant analytical resources.
We thank the other members of SEEK, including: Chad Berkley, Dan Higgins, Jessie Kennedy, Ricardo Pereira, Town Peterson, Aimee Stewart, Jing Tao, and Bing Zhu. This work is supported in part by NSF grants ITR 0225674, EF 0225665 and DBI 0129792, DARPA grant N00014-03-1-0900, and the Andrew Mellon Foundation.
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Michener, W. et al. (2005). Data Integration and Workflow Solutions for Ecology. In: Ludäscher, B., Raschid, L. (eds) Data Integration in the Life Sciences. DILS 2005. Lecture Notes in Computer Science(), vol 3615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11530084_32
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DOI: https://doi.org/10.1007/11530084_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27967-9
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