Published January 9, 2024 | Version 1.0
Dataset Open

Data files for "Quantifying the global climate feedback from energy-based adaptation"

  • 1. ROR icon University of California, Santa Barbara
  • 2. ROR icon National Bureau of Economic Research
  • 3. NBER
  • 4. University of California Santa Barbara
  • 1. University of California Santa Barbara

Description

Data files for "Quantifying the global climate feedback from energy-based adaptation".

Findings of the paper can be replicated using these data files, along with code at https://github.com/xabajian/ACDM_Climate_Adaptation_Feedback.

Please contact Alexander Abajian <xander.abajian@gmail.com> with any questions regarding the enclosed files.

 

Attribution:


Some processed data contain excerpts of Non-Creative Commons Material as defined by the International Energy Agency (IEA -- see their terms of use at `https://www.iea.org/terms/terms-of-use-for-non-cc-material'). The emissions factors we use in our analysis are generated using IEA datasets. These data are aggregates of the underlying country-by-fuel level emissions factors and as presented contain only insubstantial amounts of the Non-CC Material. We attest they cannot be used to reconstruct individual data points in the original dataset. The factors we produce are attributable to the following two sources: 

IEA. Emissions factors. Tech. Rep., International Energy Agency (IEA 2021). URL https://www.iea.org/data-and-statistics/data-product/910emissions-factors-2021. All Rights Reserved.

IEA. World energy balances 2021. Tech. Rep., International Energy Agency (IEA) (2022). URL https://www.iea.org/data-and-statistics/data-product/world-energy-balances. All Rights Reserved.

 

Files

ACDM_Data.zip

Files (1.6 GB)

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md5:ac325179b598849ebc82ac539e0380ee
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Additional details

Dates

Available
2024-06-18
First Upload of CAF Data

Software

Repository URL
https://github.com/xabajian/ACDM_Climate_Adaptation_Feedback
Programming language
Stata, R
Development Status
Wip