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Weather and Air Quality data for Ireland as RDF data cube

Authors: Albert Navarro-Gallinad;

Weather and Air Quality data for Ireland as RDF data cube

Abstract

Weather, Air Pollution and Events data represented as RDF data cube. The original weather data has been downloaded from https://www.met.ie//climate/available-data/historical-data and the Air Quality data from https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm and https://discomap.eea.europa.eu/map/fme/AirQualityExportAirbase.htm. The Events data refers to random events within the Republic of Ireland. The data has then been uplifted by running the {eeaMapping, metMapping, eventsMapping}.py scripts, which generate R2RML mappings to convert the CSV data to RDF. The mappings re-use vocabularies and ontologies that are W3C recommendations for dataset descriptions (DCAT, https://www.w3.org/TR/vocab-dcat-2/), statistical data (RDF Data Cube, https://www.w3.org/TR/vocab-data-cube/) and provenance data (PROV-O, https://www.w3.org/TR/prov-o/). The scripts use the R2RML engine from https://github.com/chrdebru/r2rml to execute the mappings which generate a data and metadata files for each of the datasets.

{"references": ["https://www.met.ie/", "https://www.eea.europa.eu/", "https://www.w3.org/TR/vocab-data-cube/"]}

Related Organizations
Keywords

Air Quality data, Weather data, Republic of Ireland, RDF, RDF Data Cube

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selected citations
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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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