Near-real-time daily estimates of fossil fuel CO
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
10 Nov 2022
10 Nov 2022
Historique:
received:
08
07
2022
accepted:
17
10
2022
entrez:
10
11
2022
pubmed:
11
11
2022
medline:
15
11
2022
Statut:
epublish
Résumé
Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO
Identifiants
pubmed: 36357411
doi: 10.1038/s41597-022-01796-3
pii: 10.1038/s41597-022-01796-3
pmc: PMC9648454
doi:
Substances chimiques
Carbon
7440-44-0
Carbon Dioxide
142M471B3J
Fossil Fuels
0
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
684Informations de copyright
© 2022. The Author(s).
Références
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