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Data table via SPARQL
Received 2 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 skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX geo: <http://dd.eionet.europa.eu/vocabulary/eurostat/geo/>
PREFIX proxy_prefix: <http://semantic.eea.europa.eu/project/indicators/gap_filling_data/ENER038/proxy_2020_2030_2050.tsv#>
SELECT
year(?year) AS ?date
bif:either(?geo = geo:DE, 'Germany', ?ugeo) AS ?ugeo
SUM(?index_trajectory_low) AS ?index_trajectory_low
SUM(?index_trajectory_high) AS ?index_trajectory_high
# #bif:either(year(?year) = 2019, ?index, '') AS ?index
WHERE {
{{
SELECT
xsd:date("2030-01-01") AS ?year
geo:EU27_2020 AS ?geo
118.0 AS ?index_trajectory_high
WHERE {}
} UNION
{
SELECT
xsd:date("2030-01-01") AS ?year
geo:EU27_2020 AS ?geo
110.0 AS ?index_trajectory_low
WHERE {}
} UNION
{
SELECT
xsd:date("2020-01-01") AS ?year
geo:EU27_2020 AS ?geo
265 AS ?index_trajectory_low
WHERE {}
} UNION
{
SELECT
xsd:date("2020-01-01") AS ?year
geo:EU27_2020 AS ?geo
265 AS ?index_trajectory_high
WHERE {}
}}
?geo rdfs:label ?ugeo .
}
For references, please go to https://eea.europa.eu./data-and-maps/daviz/sds/co2-emission-intensity-from-electricity-6 or scan the QR code.
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