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About ADCC

The National Science Foundation's (NSF) Arctic System Science (ARCSS) Program is a multidisciplinary approach to understanding polar processes for climate and global change. ARCSS is the only element of the U.S. Global Change Research Program specifically concerned with the arctic region. By focusing on understanding Arctic processes in great detail, investigators are better able to characterize global changes through the improvement of global-scale models and other research tools.

A major concern of the arctic research community is the availability of reliable data for research. The ARCSS Data Coordination Center (ADCC), while working with ARCSS investigators, the ARCSS Committee, Science Management Offices and NSF, is continually acquiring data and developing data products appropriate and useful for the research community. Integrating data and information from among the ARCSS ocean-based, land-based, ice core, paleoclimate and human-dimension communities is a high priority at the ADCC.

The ADCC provides data to investigators of varying disciplines in more than 40 countries worldwide. Data and information are also distributed on other media (CD-ROMs, disks, data catalogs, etc.) when appropriate, and a complete backup of the entire ARCSS archive is maintained to ensure data and information collected from the program are available on a long-term basis. See A Note from the ARCSS Program Director.

The ADCC at the National Snow and Ice Data Center (NSIDC), USA, would like to thank its funding agencies.

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ADCC Data News

22 May 2007

Paleoenvironment, Geomorphic Processes, and Carbon Stocks of Drained Thaw-lake Basins in the Arctic Coastal Plain, Alaska, USA, 2002-2005

These data are from a study of the origin and associated geomorphological, ecological, and pedological processes of thaw-lake basins of the Arctic Coastal Plain, Alaska. Investigators used radiometric dating, microfossil analysis, and soil development to determine whether carbon accumulation rates respond to regional changes in climate, or if they are influenced by local rates of plant succession.

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