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Active

ESS-DIVE Deep Insight for Earth Science Data

DOE-SC-Biological and Environmental Research

The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a new data archive for Earth and environmental science data. ESS-DIVE is funded by the Data Management program within the Climate and Environmental Science Division under the DOE’s Office of Biological and Environmental Research program (BER), and is maintained by the Lawrence Berkeley National Laboratory.

ESS-DIVE will archive and publicly share data obtained from observational, experimental, and modeling research that is funded by the DOE’s Office of Science under its Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) programs within the Environmental Systems Science (ESS) activity.

The mission of ESS-DIVE is to preserve, expand access to, and improve usability of critical data generated through DOE-sponsored research of terrestrial and subsurface ecosystems in support of the DOE’s efforts to address some of society’s most pressing energy and environmental challenges.

ESS-DIVE seeks to transform the way critical data from ESS research is stored and accessed by engaging the scientific research community in adopting consistent standards and protocols for data archival that improve data access. ESS-DIVE data contributors will be able to archive and share data with supporting information in consistent formats that can be cited and tracked. ESS-DIVE users will be able to efficiently find and obtain data that are easier to interpret, integrate, and analyze.

By making ESS research data easily accessible, ESS-DIVE has the potential to advance the scientific understanding and prediction of hydro-biogeochemical and ecosystem processes that occur from bedrock through soil and vegetation to the atmospheric interface.

ESS-DIVE Lead: Deb Agarwal (Computing Sciences Division)
ESS-DIVE Deputy Lead: Charuleka Varadharajan

View Project Website

Project Contacts

Deb Agarwal
Senior Scientist, Computational Research Division

Charuleka Varadharajan
Staff Scientist

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