This HTML5 document contains 99 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n12http://dx.doi.org/10.5194/
n11http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q61656162
rdf:type
wikibase:Item
schema:description
наукова стаття, опублікована в листопаді 2018 im November 2018 veröffentlichter wissenschaftlicher Artikel wetenschappelijk artikel scholarly article
p:P577
wds:Q61656162-EAF97A94-6DD3-4388-B53E-1B95C3B7E0ED
wdt:P577
2018-11-13T00:00:00Z
p:P407
wds:Q61656162-158791A3-14CB-40CD-9D43-22BEC92D2854
wdt:P407
wd:Q1860
p:P2860
wds:Q61656162-55C9679F-E024-4D0D-B9E8-73E7C64F85E1 wds:Q61656162-32C28843-D3CA-4240-8696-B221C75EBB10 wds:Q61656162-0675E537-EC08-4A82-888A-B799F2ED213F
wdt:P2860
wd:Q21994552 wd:Q41966288 wd:Q56866101
p:P2093
wds:Q61656162-2A40F95B-E9CE-4A3A-9D92-306841FD10F6 wds:Q61656162-3DA0715A-1921-4C7C-9095-B97B0F766C20 wds:Q61656162-4519D36F-F344-4463-8161-7DA37F51BEC5 wds:Q61656162-0A4FE0E9-C4C2-4EB1-8DAE-161F5CC2AAE1 wds:Q61656162-1820070A-E2E0-452E-9FC3-996920F36454 wds:Q61656162-139A3957-F251-4B6C-9ED0-ADDAFA2BB6C0 wds:Q61656162-62E85BB1-8ED7-4A7B-8D79-31ACEBEBF9B9 wds:Q61656162-5FB825A0-AF92-42B8-958F-772F0922B094 wds:Q61656162-FCF888A0-9F8C-4FF7-9B9A-1D4F0B186C33 wds:Q61656162-DEF0DBDA-E197-4DC3-8EE3-D763E2D6D061
wdt:P2093
Andrea Stenke Neal Butchart Luke D Oman Daniele Visioni Patrick Jöckel Guang Zeng Kane Stone Thomas Peter Aryeh Feinberg Robyn Schofield
rdfs:label
Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model
skos:prefLabel
Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model
schema:name
Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model
p:P50
wds:Q61656162-4D9004BD-BA70-4773-8BDA-68C161072725 wds:Q61656162-576D8874-06C5-4B7D-946F-278908A833B3 wds:Q61656162-634E6719-E5E8-48D6-918F-8C554D20723C wds:Q61656162-7EF26D17-7514-4CFC-9F0F-1E72452A930E wds:Q61656162-7F9D4E7F-C37E-4415-92D4-6A58836AD9F8 wds:Q61656162-8599702A-F4DE-4424-9983-3B23969ACAF5 wds:Q61656162-936AFD10-6E1F-4B2A-9646-06EAB9627161 wds:Q61656162-97EEDABE-1987-4B1B-935D-A899E8ADBFD6 wds:Q61656162-C7333741-2A37-4A13-B49C-D1CE2CFA8120 wds:Q61656162-DA941079-E10C-4F9A-9B29-584D3D95B7E6 wds:Q61656162-F66891A1-E17D-4766-828E-D8AB6F488E54 wds:Q61656162-FBF07B60-629B-4F08-822F-F5057B4F8A1D wds:Q61656162-03988DA8-479E-4FBC-B1E7-01D06464F99E wds:Q61656162-2BCD951A-2E03-4B22-B521-B46B96C04EA5 wds:Q61656162-32EA63C5-2F59-47CA-91E6-64202D2E52C2
wdt:P50
wd:Q98189930 wd:Q58065922 wd:Q84740862 wd:Q56875832 wd:Q91957299 wd:Q58089878 wd:Q50916120 wd:Q114771501 wd:Q88694028 wd:Q57412720 wd:Q47113835 wd:Q114771496 wd:Q57614176 wd:Q58089980 wd:Q58149582
p:P1476
wds:Q61656162-C495DA13-C597-4B1B-B8F0-09580B2FE05E
wdt:P1476
Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model
p:P304
wds:Q61656162-E6ECAC94-8BDF-42D5-BD3B-42DB23B664B4
wdt:P304
16155-16172
p:P31
wds:Q61656162-0F340E3D-0C61-4406-AAED-0CAB8C220C4B
wdt:P31
wd:Q13442814
p:P921
wds:Q61656162-6A225E8E-7B27-483D-A549-A86414641837 wds:Q61656162-A42AAB95-6EA5-4697-8747-163025E46C6C
wdt:P921
wd:Q757520 wd:Q742736
p:P698
wds:Q61656162-1DE11DE5-C5AA-4657-B603-444CB632DF39
wdtn:P698
n11:32742283
wdt:P698
32742283
p:P1433
wds:Q61656162-5CD90186-A948-4679-9231-178C8D4BE1DF
wdt:P1433
wd:Q757509
p:P433
wds:Q61656162-14E41404-21B0-406E-ADAE-FA7405998520
p:P478
wds:Q61656162-5853860E-81F7-4EA2-9E66-3AE62A02CDAC
wdt:P433
21
wdt:P478
18
p:P356
wds:Q61656162-E5FDCDF4-FA98-46A7-9C77-5F6014A13B68
wdtn:P356
n12:ACP-18-16155-2018
wdt:P356
10.5194/ACP-18-16155-2018
p:P275
wds:Q61656162-325681d3-55e6-4bf0-b057-55a250a40061
p:P6216
wds:Q61656162-539703ba-a489-4f9d-87b6-055319a4bf04
wdt:P275
wd:Q20007257
wdt:P6216
wd:Q50423863
p:P819
wds:Q61656162-49FFE023-6417-4AAE-A9EC-11FDDE07365F
wdt:P819
2018ACP....1816155R