Skip to main content

DAAC Home > About Us

About Us

The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics is a NASA Earth Observing System Data and Information System (EOSDIS) data center managed by the Earth Science Data and Information System (ESDIS) Project. The ORNL DAAC is operated by Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tennessee, and is a member of the Remote Sensing and Environmental Informatics Group of the Environmental Sciences Division (ESD).

If you have questions for the ORNL DAAC, please contact the User Services Office.

The ORNL DAAC is proud to be a CoreTrustSeal Certified Repository. CoreTrustSeal is an international, community based, non-governmental, and non-profit organization promoting sustainable and trustworthy data infrastructures.


Toggle Mission

The mission of the ORNL DAAC is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA's Earth Science.

The ORNL DAAC's goals are to:

  • Serve as the primary data repository for data derived from NASA's Terrestrial Ecology program and Carbon Cycle Science and Ecosystems focus area.
  • Provide ground- and aircraft-based data to assess the accuracy and uncertainty of NASA's Earth Science missions.
  • Work with NASA to develop best practices, tools, and training for scientists who generate and use NASA Earth-observing data.
  • Facilitate synthesis and analysis by providing and integrating the diverse data required to address critical questions.

Data Use and Citation Policy

Toggle Data Use and Citation Policy

Data Use

Data hosted by the ORNL DAAC is openly shared, without restriction, in accordance with NASA's Earth Science program Data and Information Policy.

Citation Policy

Bibliographic citations should be included in the References section of publications and other media to acknowledge those who have created the data, services, and tools provided by the ORNL DAAC. Proper citations include the authors, title, publisher, and Digital Object Identifier (DOI) and will allow the products to be discovered and re-used by others.

If you have questions about citations, contact the User Services Office. The proper citation for each ORNL DAAC product is provided on its landing page and user guide.

Example Data Citation:

Roy, P.S., P. Meiyappan, P.K. Joshi, M.P. Kale, V.K. Srivastav, S.K. Srivasatava, M.D. Behera, A. Roy, Y. Sharma, R.M. Ramachandran, P. Bhavani, A.K. Jain, and Y.V.N. Krishnamurthy. 2016. Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005. ORNL DAAC, Oak Ridge, Tennessee, USA.

For more information on the importance of citing products, see:

Cook, R.B., S.K.S. Vannan, B.F. McMurry, D.M. Wright, Y. Wei, A.G. Boyer and J.H. Kidder. 2016. Implementation of data citations and persistent identifiers at the ORNL DAAC. Ecological Informatics.

ESIP Data Preservation and Stewardship Committee. 2019. Data Citation Guidelines for Earth Science Data Version 2. Earth Science Information Partners.

User Working Group

Toggle User Working Group

The ORNL DAAC User Working Group (UWG) is an external advisory group established by EOSDIS and tasked to:

  • Assist in defining and accomplishing the ORNL DAAC's goals.
  • Provide oversight and guidance on ORNL DAAC activities, including dataset acquisition, development of value-added products, user support, development activities, and operational functions.
  • Recommend annual work plans and advise on long-term planning.
  • Review interactions and agreements between NASA's Earth Science missions and the ORNL DAAC.

The UWG meets once per year to review the status of ORNL DAAC operations and to provide recommendations. Additional information about the responsibilities of the UWG can be found in the ORNL DAAC UWG CharterPDF.

The UWG is interested in hearing from users on how to improve the ORNL DAAC web platform, tools, and services, or about data that the ORNL DAAC should pursue. To provide input, contact the ORNL DAAC User Services Office.

All Attendees UWG Members
All attendees (left) and UWG members (right) at the June 2019 UWG Meeting that was held jointly with the Land Processes DAAC in Washington DC.

User Working Group Members: 2021

John Armston
Department of Geographical Sciences
University of Maryland
UWG Term 2019-2021
Specialty: LiDAR, forest structure and biomass, GEDI
Mallory Barnes
School of Public and Environmental Affairs
Indiana University
UWG Term 2021-2023
Specialty: environmental informatics, remote sensing and spatial analysis, and ecosystem ecology
Róisín Commane (Chair)
Department of Earth & Environmental Sciences
Lamont-Doherty Earth Observatory
Columbia University
UWG Term 2017-2022
Specialty: surface-atmosphere exchange of trace gases; arctic, mid-latitude, and urban carbon fluxes; airborne atmospheric chemistry
Kyla Dahlin
Department of Geography
Michigan State University
UWG Term 2021-2023
Specialty: ecological remote sensing and modeling
Christine Laney
Principal Research Scientist
UWG Term 2020-2022
Specialty: ecoinformatics, LTER, ecological forecasting
David Lagomasino
Department of Coastal Studies
East Carolina University
UWG Term 2018-2023
Specialty: blue carbon dynamics, coastal processes, remote sensing of forest structure
Isaac Larsen
Department of Geosciences
University of Massachusetts Amherst
UWG Term 2020-2022
Specialty: eomorphology, landscape evolution, cosmogenic nuclides
Sparkle Malone
Department of Biological Sciences
Florida International University
UWG Term 2019-2021
Specialty: remote sensing, carbon dynamics, fire in coastal ecosystems
Kevin Schaefer
National Snow & Ice Data Center
University of Colorado
UWG Term 2016-2021
Specialty: terrestrial biosphere and land surface modeling, biogeochemistry and soil thermodynamics in the Arctic
Alexey Shiklomanov
Biospheric Sciences Laboratory
Goddard Space Flight Center
UWG Term 2020-2022
Specialty: remote sensing, vegetative modeling, ecoinformatics
Ying Sun
Soil & Crop Sciences
Cornell University
UWG Term 2020-2022
Specialty: agroecosystems, canopy to global scale modeling
Alireza Tabatabaeenejad
Department of Electrical Engineering
University of Southern California
UWG Term 2018-2023
Specialty: microwave remote sensing, water and carbon cycles
Jody Vogeler
Natural Resources Ecology Laboratory
Colorado State University
UWG Term 2021-2023
Specialty: forest disturbance dynamics, wildlife habitat ecology, assessing resistance and resilience within varous ecosystems, and integrating remote sensing datasets with field surveys
Anthony Walker
UWG Term 2016-2021
Specialty: terrestrial plant ecology, ecosystem modeling, model-data synthesis, Earth-System dynamics
Konrad Wessels
Department of Geography & Geoinformation Science
George Mason University
UWG Term 2021-2023
Specialty: savanna ecology, fire dynamics, land cover change

User Working Group Ex Officio Members

Jeanne Behnke
Deputy Project Manager
ESDIS Project
Yaxing Wei (Vice Chair)
ORNL DAAC Lead Scientist
Nathan James
Data Systems Engineer
ESDIS Project
Drew Kittel
Science Operations Manager
ESDIS Project
Hank Margolis
Program Manager
Terrestrial Ecology Program
Bruce E. Wilson

User Working Group Associates

Tammy Walker
ORNL DAAC Deputy Manager
Chris Lindsley
ORNL DAAC Systems Architect
Computational Sciences & Engineering Division
Daine Wright
ORNL DAAC Systems Engineer
Debjani Deb
ORNL DAAC Ingest Lead


Toggle Partners

The ORNL DAAC regularly partners with other EOSDIS data centers and the following organizations towards shared goals.


The International Council for Science World Data System (ICSU WDS) promotes stewardship and access to data and data services across a range of science disciplines.

ABoVE Working Groups

The Artic Boreal Vulnerability Experiment (ABoVE) Working Groups define standards of data management, services, models, variables, and products for ABoVE. ORNL DAAC staff participate in the Core Variables & Standards and the Geospatial Products & Standards groups.


The Earth Science Data System Working Groups (ESDSWG) is a NASA organization that focuses on the exploration and development of recommendations derived from pertinent community insights of NASA's heterogeneous and distributed Earth science data systems.


The Federation of Earth Science Information Partners (ESIP) is a networked community that brings together science, data, and information technology practitioners.


The United States Geological Survey (USGS) Core Science Systems (CSS) delivers natural science information to the United States in support of smart decisionmaking.

CCSI Data Centers

The ORNL DAAC is a member of the ORNL Climate Change Science Institute (CCSI) and often contributes to its other data centers.


The Atmospheric Radiation Measurement Archive (ARM) provides observations to improve the understanding of clouds and aerosols.

NGEE Arctic Logo

NGEE Arctic

The Next-Generation Ecosystem Experiments (NGEE Arctic) improve climate model predictions through advanced understanding of coupled processes in Arctic terrestrial ecosystems.



The Spruce and Peatland Responses Under Climatic and Environmental Change (SPRUCE) experiment assesses the response of northern peatland ecosystems to increases in temperature and exposures to elevated atmospheric carbon dioxide concentrations.

About Preprint Datasets

About Preprint Datasets

About Preprint Datasets

A preprint dataset is one which is made available prior to the completion of the ORNL DAAC’s quality assurance and documentation work. This is most often done to support the peer review process for journal articles involving the data. As with a journal preprint, a preprint dataset includes the materials as received from the data provider, is subject to revision, and should be used as one would a journal preprint. Preprint datasets at the ORNL DAAC are not visible in NASA’s Earthdata Search, and the ORNL DAAC attempts to prevent them from showing up in Internet search tools. Any differences in the finalized data relative to the data from the preprint version will be described in the finalized dataset documentation.