BOREAS - The Boreal Ecosystem-Atmosphere Study is an intensive remote-sensing and field study of a Canadian boreal forest. BOREAS investigates exchanges of energy, water, heat, CO2, and trace gases between the boreal forest and the atmosphere. Field campaigns were conducted using surface, airborne, and satellite observations to characterize biological and physical processes that govern the exchanges. A network of towers was used to measure surface-atmosphere fluxes using eddy correlation equipment. Data are availablethrough the ORNL DAAC's BIOME online search-and-order system, and through the BOREAS page maintained by the ORNL DAAC. Additional information on the BOREAS project is available by accessing the BOREAS home page maintained by the NASA Goddard Space Flight Center. The overall characteristics and availability of this data collection are summarized below. Spatial: 1000 x 1000 km study area, 2 intensive field sites; north-central Canada Temporal: Sept. 1993 - Oct. 1996; periodic intensive field campaigns Data Themes: surface-atmosphere fluxes, ecology, trace gases, hydrology, and remote-sensing Project Status: completed BOREAS data holdings are structured "BOREAS Science Group"/dataset. BOREAS science teams are combined into the following BOREAS Science Groups Airborne Fluxes and Meteorology (AFM) Hydrology (HYD) Remote Sensing Science (RSS) Staff Science (STAFF) Terrestrial Ecology (TE) Tower Fluxes (TF) Trace Gas Biogeochemistry (TGB) Contained within each dataset directory is /comp [for companion files] and /data [for real data]. Image datasets may have a /viewer subdirectory with JPG files for browsing. KEYWORDS: boreal, forest, Canada, atmosphere, carbon dioxide, climate, change, satellite, water, temperature, precipitation, biome, radiative, energy, heat, trace gases, global, change, warming, continental, interior, cycle, soil, edaphic, moisture, climatology, evapotranspiration, humidity, cloud, cloudiness, ecosystem, biogeochemistry, atmosphere, aircraft, remote sensing, radiation, field experiment, EOSDIS