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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 – 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.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2018-10-07", "publisher": "Zenodo", "resource_type": { "id": "other", "title": { "de": "Sonstige", "en": "Other" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "data processing" }, { "subject": "visualization" }, { "subject": "ionosphere" }, { "subject": "disturbance" }, { "subject": "data acquisition" } ], "title": "Ionosphere Sounding Data Processing Information System (ISDPIS) \u2013 basics, potentials and perspective" }, "parent": { "access": { "owned_by": { "user": 53151 } }, "communities": { "default": "c54aadfa-4268-41ba-9b05-9b1048df2602", "entries": [ { "access": { "member_policy": "open", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2018-09-15T14:12:30.412362+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "c54aadfa-4268-41ba-9b05-9b1048df2602", "links": {}, "metadata": { "curation_policy": "Long abstracts uploaded to this community need to follow the template available at the conference webpage. The length is two pages or more (no upper limit). The authors will be informed to refine the manuscript in case it does not follow the template or the conference topic.
\r\n", "page": "BigSkyEarth COST Action is organizing the conference AstroGeoInformatics – Knowledge Discovery in Big Data from Astronomy and Earth Observation in Tenerife, Spain, on December 17-19, 2018. The conference is hosted by Instituto de Astrofísica de Canarias and Universidad de La Laguna. The BigSkyEarth book of the same topic will be presented at the conference!
\r\n\r\nConference webpage: https://bigskyearth.eu/bigskyearth-conference-astrogeoinformatics/
\r\n\r\nWith the current emergence of Terabyte(TB)-scale astronomical and Earth observation systems, the traditional approach to basic functions such as data searching, analytics or visualization are becoming increasingly difficult to handle. Simple database queries can result now in data subsets so large that they are incomprehensible, slow (or even impossible) to handle, and impossible to visualize with commodity visualization tools. Astronomy and remote sensing complement each other, as they are on the quest for new Big Data interpretation capabilities: both disciplines have peculiar data, typical data processing and analysis chains, and specific models to be fed with data. However, both disciplines lack the capabilities for easily accessible semantics-oriented browsing (usage of higher level descriptive expressions) in large data archives. Therefore, joint efforts to design and develop innovative Big Data tools should help users in many different fields and set new standards for many communities. This has identified several broad challenges to this line of reasoning that need multidisciplinary approach through international networking of experts and professionals. These challenges are then channelled into Action Objectives:
\r\n– Challenge A: Digital curation and data access
\r\n– Challenge B: New frontiers in visualisation
\r\n– Challenge C: Adaptation to new high performance computing (HPC) technologies
\r\n– Challenge D: New generation of scientists in the age of interdisciplinarity
\r\nBigSkyEarth is funded by COST framework under Action TD1403. More at: http://bigskyearth.eu