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This dataset contains a set of synthetic data that can be used to evaluate the efficiency of geosaptial datasbases. The datasets is composed of four json file, characterized by different size. They can be used to analyze the scalability of geospatial datasets with respect to the database size. Each json file contains a set of "points", each one characterized by a set of random attributes (description, url of a picture linked to the point, creation date, delete date, update date, identifier, partition identifier). The synthetically generated points are uniformly distributed among the world.
Inorganic Chemistry, Science Policy, Genetics, 19999 Mathematical Sciences not elsewhere classified, Plant Biology, Hematology, 80699 Information Systems not elsewhere classified, Biochemistry, 69999 Biological Sciences not elsewhere classified, Geospatial data
Inorganic Chemistry, Science Policy, Genetics, 19999 Mathematical Sciences not elsewhere classified, Plant Biology, Hematology, 80699 Information Systems not elsewhere classified, Biochemistry, 69999 Biological Sciences not elsewhere classified, Geospatial data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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