Overview of Abisko in the background, showing a vast landscape from above with forests in the foreground and mountains in the background

The EMERGE Database Project


Welcome to the EMERGE Database (EMERGE-DB), a cross-disciplinary database designed to store the data generated and analyzed by the NSF-funded EMERGE Biology Integration Institute. The goal of the EMERGE Institute is to discover how microbial communities mediate the fate of carbon in thawing permafrost landscapes under climate change. The EMERGE-DB expands upon the IsoGenie Database (IsoGenieDB), which was built for the EMERGE Institute's predecessor, the DOE-funded IsoGenie Project.

The EMERGE-DB is a Neo4j graph database that integrates its data in a queryable framework. The code used for importing data into the EMERGE-DB is open source, and is available on our Bitbucket page.

For a detailed overview of the database and its capabilities, please see the following manuscript:

Bolduc, B., Hodgkins, S. B., Varner, R. K., Crill, P. M., McCalley, C. K., Chanton, J. P., Tyson, G. W., Riley, W. J., Palace, M., Duhaime, M. B., Hough, M. A., IsoGenie Project Coordinators, IsoGenie Project Team, A2A Project Team, Saleska, S. R., Sullivan, M. B., & Rich, V. I. (2020). The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research. PeerJ, 8, e9467.

Below are navigational links to each component of this website. At the top of the page is a drawer menu that allows navigation between pages from any page.

Preview of graph structure of database
Learn

About the database
Preview of the map of the survey site
Map

Check out the site
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Downloads

Get EMERGE project-related datasets
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Query

Find data, filter results
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Pictures

See photos from the field site
Collage of many published papers
Publications

Check out results of the project
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People

Who does the research? (external link)
EMERGE logo showing a cycle between genetics and the environment
Contact Us

Contact the database team


Disclaimer of Liability: This material is based upon work by the EMERGE Project, which is supported by the National Science Foundation under Grant No. 2022070. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Neither the U.S. Government nor any agency thereof, or any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.