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Ionosphere Sounding Data Processing Information System (ISDPIS) – basics, potentials and perspective

Jovan Bajcetic; Mladen Trikoš; Ivan Tot


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        <foaf:name>Ivan Tot</foaf:name>
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    <dct:title>Ionosphere Sounding Data Processing Information System (ISDPIS) – basics, potentials and perspective</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued>
    <dcat:keyword>data processing</dcat:keyword>
    <dcat:keyword>visualization</dcat:keyword>
    <dcat:keyword>ionosphere</dcat:keyword>
    <dcat:keyword>disturbance</dcat:keyword>
    <dcat:keyword>data acquisition</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-10-07</dct:issued>
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    <dct:description>&lt;p&gt;Big data proper handling drives the possibility for real-time detection and visualization of complicated long-lasting, as well as short, transient events. Among other applications, the one that is rapidly getting in focus latest years is definitely Space weather. The effects on the atmosphere, as well as the ionosphere, as one of its regions, are driven mainly by Sun &amp;ndash; the electromagnetic and particle emissions coming from the active regions. This paper gives the overview of the developed set of Python scripts and the MySQL database which as a whole give the complete information system solution for the detection and visualization of the recorded ionosphere sounding radio signal sudden amplitude variation induced by sources of Space weather disturbances.&lt;/p&gt;</dct:description>
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