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Version 2.0 of the North American ASTER Land Surface Database (NAALSED) (http://emissivity.jpl.nasa.gov) has now been released and includes two key refinements designed to improve the accuracy of emissivities over water bodies and account for the effects of fractional vegetation cover.
To examine the potential impacts of various land cover classes (and their relative density) on cyanobacteria bloom coverage, county-level data were obtained or generated from the National Land Cover Database and the national nutrient inputs to the land surface database.
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There, we're looking for the innovative questions that might arise from the new faculties that modern technologies offer – from surface tech to open databases to collaboration tools to cloud computing to social networks.
1 NEU surface defect database is the the Northeastern University (NEU) surface defect database, download link: http://faculty.neu.edu.cn/yunhyan/NEU_surface_defect_database.html.html
Surface runoff database was generated (Fig. 2e) based on soil conservation service (SCS) model (Eqs. 2 4).
To reveal the fairness of the classifier, a surface defect database, the NEU surface defect database1 [6] was used.
A questionnaire-based screening algorithm uses a small surface treatment database mostly filled in with Booleans to address these issues.
As an output of such long-term hindcast a sea surface residual database containing storm surge events was created.
However an internally consistent surface complexation database for a wide range of ions and solids found in natural waters that capture the surface charge is still lacking [1].
More studies are needed to determine the dependence of alkaline earth sorption on ionic strength and dissolved carbonate and sulfate concentrations for the development of a robust surface complexation database to estimate alkaline earth sorption in the environment.
While for inorganic surfaces a rich literature and a surface structure database are available, reports on surface reconstructions of molecular solids are sparse.
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