Abstract

We present a global dataset of anthropogenic carbon dioxide (CO2) emissions for 343 cities. The dataset builds upon data from CDP (187 cities, few in developing countries), the Bonn Center for Local Climate Action and Reporting (73 cities, mainly in developing countries), and data collected by Peking University (83 cities in China). The CDP data being self-reported by cities, we applied quality control procedures, documented the type of emissions and reporting method used, and made a correction to separate CO2 emissions from those of other greenhouse gases. Further, a set of ancillary data that have a direct or potentially indirect impact on CO2 emissions were collected from other datasets (e.g. socio-economic and traffic indices) or calculated (climate indices, urban area expansion), then combined with the emission data. We applied several quality controls and validation comparisons with independent datasets. The dataset presented here is not intended to be comprehensive or a representative sample of cities in general, as the choice of cities is based on self-reporting not a designed sampling procedure.

Design Type(s)

data integration objective • data validation objective

Measurement Type(s)

carbon dioxide emission

Technology Type(s)

digital curation

Factor Type(s)

geographic location • city

Sample Characteristic(s)

Kingdom of Denmark • United States of America • Ethiopia • Australia • Mexico • India • Canada • Jordan • The Netherlands • China • Greece • New Zealand • Indonesia • Kingdom of Spain • Colombia • Portuguese Republic • Switzerland • The Philippines • Brazil • United Kingdom • Italy • Turkey • Belgium • Argentina • Republic of South Africa • Venezuela • Republic of Ireland • Austria • Sweden • Germany • Thailand • Finland • Japan • Viet Nam • South Korea • Israel • Taiwan Province • Bolivia • Nigeria • Peru • Slovenia • French Republic • Kingdom of Norway • Ecuador • Iceland • Chile • Malaysia • Singapore • Lithuania • Poland • Namibia • anthropogenic habitat

Machine-accessible metadata file describing the reported data (ISA-Tab format)

Details

Title
A global dataset of CO2 emissions and ancillary data related to emissions for 343 cities
Author
Nangini Cathy 1 ; Peregon Anna 1 ; Ciais Philippe 1   VIAFID ORCID Logo  ; Weddige Ulf 2 ; Vogel, Felix 3 ; Wang, Jun 4 ; François-Marie, Bréon 1 ; Simeran, Bachra 5 ; Wang, Yilong 1 ; Gurney, Kevin 6 ; Yamagata Yoshiki 7 ; Appleby Kyra 8 ; Telahoun Sara 8 ; Canadell, Josep G 9   VIAFID ORCID Logo  ; Grübler Arnulf 10 ; Dhakal Shobhakar 11 ; Creutzig Felix 12   VIAFID ORCID Logo 

1  Laboratoire des Sciences du Climat et de l’Environnement CEA CNRS UVSQ Institut Pierre-Simon Laplace, Gif-sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722) 
2  Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany (GRID:grid.457340.1) 
3  Environment and Climate Change Canada, Climate Research Division, Toronto, Canada (GRID:grid.410334.1) (ISNI:0000 0001 2184 7612) 
4  Peking University Shenzhen Graduate School, Key Laboratory for Human and Environmental Science and Technology, Shenzhen, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
5  CDP Worldwide, London, England (GRID:grid.457340.1) 
6  Arizona State University, USA (GRID:grid.215654.1) (ISNI:0000 0001 2151 2636) 
7  National Institute for Environmental Studies, Tsukuba, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933) 
8  CDP Worldwide, London, England (GRID:grid.140139.e) 
9  Global Carbon Project, CSIRO Oceans and Atmosphere, Canberra, Australia (GRID:grid.1016.6) 
10  International Institute for Applied Systems Analysis, Laxenburg, Austria (GRID:grid.75276.31) (ISNI:0000 0001 1955 9478) 
11  Environment and Climate Change, Asian Institute of Technology, Klong Luang, Department of Energy, Pathumthani, Thailand (GRID:grid.418142.a) (ISNI:0000 0000 8861 2220) 
12  Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany (GRID:grid.418142.a); Sustainability Economics of Human Settlements, Technical University Berlin, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254) 
Publication year
2019
Publication date
Jan 2019
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/sdata.2018.280
ProQuest document ID
2343278953
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.