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Data table via SPARQL
Received 41 rows in 0.001 seconds.
The following info can be used by a system developer / database administrator in order to retrieve this dataset programmatically over the web using a SPARQL client.
PREFIX clrtap_nec_unfccc: <http://reference.eionet.europa.eu/clrtap_nec_unfccc/schema/>
PREFIX geo: <http://reference.eionet.europa.eu/clrtap_nec_unfccc/country/>
PREFIX sectors: <http://reference.eionet.europa.eu/clrtap_nec_unfccc/unfccc_crf_sector/Sectors/>
PREFIX rdf-schema: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ghg_projections: <http://semantic.eea.europa.eu/project/ghg_projections/ghg_projections_2015.txt#>
PREFIX proxy_2014: <http://semantic.eea.europa.eu/project/proxy/proxy_2014.txt#>
SELECT DISTINCT
xsd:integer(?year) as ?year
round(sum(?unfccc_crf_eu28)/1000) AS ?GHG_eu28
#value for 2014 coming from PROXI
bif:either(xsd:integer(?year) = 2014, round(sum(xsd:decimal(?proxy))/1000), bif:either(xsd:integer(?year) = 2013, round(sum(?unfccc_crf_eu28)/1000), '')) as ?proxy
bif:either(xsd:integer(?year) >= 2010, round(sum(?wem_ghg_projections)/1000), '') as ?wem_ghg_projections
bif:either(xsd:integer(?year) >= 2010, round(sum(?wam_ghg_projections)/1000), '') as ?wam_ghg_projections
WHERE {
{
GRAPH <http://r.eionet.europa.eu/rdfdumps/clrtap_nec_unfccc/unfccc_crf.rdf.gz>
{
_:unfccc_crf clrtap_nec_unfccc:unit ?unit .
FILTER (?unit = 'Gg CO2 equivalent')
_:unfccc_crf clrtap_nec_unfccc:sector_code sectors:Totals_excl_incl .
_:unfccc_crf clrtap_nec_unfccc:pollutant_name 'All greenhouse gases - (CO2 equivalent)' .
_:unfccc_crf clrtap_nec_unfccc:year ?year .
FILTER (?year != ('KPBY'))
_:unfccc_crf clrtap_nec_unfccc:country_code geo:EU28 .
_:unfccc_crf clrtap_nec_unfccc:emissions ?unfccc_crf_eu28 .
}
} UNION {
GRAPH <http://semantic.eea.europa.eu/project/proxy/proxy_2014.txt>
{
_:proxy_2014 proxy_2014:country_code ?geo .
FILTER (?geo = geo:EU28)
_:proxy_2014 proxy_2014:year ?year .
_:proxy_2014 proxy_2014:total ?proxy .
}
} UNION {
GRAPH <http://semantic.eea.europa.eu/project/ghg_projections/ghg_projections_2015.txt>
{
_:ghg_projections ghg_projections:country_code ?geo .
FILTER (?geo != geo:NO and ?geo != geo:CH and ?geo != geo:LI and ?geo != geo:EU)
_:ghg_projections ghg_projections:sector ?sector .
FILTER (?sector in ('1. Energy', '2. Industrial processes', '3. Agriculture', '5. Waste'))
_:ghg_projections ghg_projections:year ?year .
FILTER (xsd:integer(?year) >= 2013 and xsd:integer(?year) <= 2030)
_:ghg_projections ghg_projections:pollutant_name 'Total GHGs (ktCO2e)' .
{
_:ghg_projections ghg_projections:scenario 'WEM' .
_:ghg_projections ghg_projections:gapfilled ?wem_ghg_projections .
} UNION {
_:ghg_projections ghg_projections:scenario 'WAM' .
_:ghg_projections ghg_projections:gapfilled ?wam_ghg_projections .
}
}
}
}
GROUP BY xsd:integer(?year)
ORDER BY xsd:integer(?year)
For references, please go to https://eea.europa.eu./data-and-maps/daviz/sds/historic-and-projected-trends-of-2 or scan the QR code.
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