PF14_94d_Anaerobic_H2OExt_run1_18Apr16_leopard_Infuse
FTICR dataset of Alaska permafrost soil extractions
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FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
FTICR dataset of Alaska permafrost soil extractions
A screening procedure was used to isolate from soil a Penicillium sp., two bacterial isolates, and a Streptomyces sp. that produced a previously unknown microbial growth factor. This factor was an absolute growth requirement for three soil bacteria. The Penicillium sp. and one of the bacteria requiring the factor, an Arthrobacter sp., were selected for more extensive study concerning the production and characteristics of the growth factor. It did not seem to be related to the siderochromes. It was not present in soil extract, rumen fluid, or any other medium component tested. It appears to be a glycoprotein of high molecular weight and has high specific activity. When added to the diets for a meadow-vole mammalian test system, it caused an increased consumption of diet without a concurrent increase in rate of weight gain.
Significant advances have been made in the last decade in the areas of Geographic Information Systems (GIS) and spatial analysis technology, both in hardware and software. Science user requirements are so problem specific that currently no single system can satisfy all of the needs. The work presented here forms part of a conceptual framework for an all-encompassing science-user workstation system. While definition and development of the system as a whole will take several years, it is intended that small scale projects such as the current work will address some of the more short term needs. Such projects can provide a quick mechanism to integrate tools into the workstation environment forming a larger, more complete hydrologic analysis platform. Described here are two components that are very important to the practical use of remote sensing and digital map data in hydrology. Described here is a graph-theoretic technique to rasterize elevation contour maps. Also described is a system to manipulate synthetic aperture radar (SAR) data files and extract soil moisture data.