This Garrett_README.txt file was generated on [20220609] by [Timothy Garrett]

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GENERAL INFORMATION
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1. Title of Dataset 

Supplementary data and code for "Lotka’s wheel and the long arm of history: how does the distant past determine today’s global rate of energy consumption?"

2. Author Information

  Principal Investigator Contact Information
        Name: Timothy J. Garrett
           Institution: University of Utah 
           Address: 30 N 1900 E Salt Lake City UT 84132
           Email: tim.garrett@utah.edu

  Associate or Co-investigator Contact Information
        Name: Matheus Grasselli
           Institution: McMaster University
           Address: Department of Mathematics and Statistics, McMaster University, Hamilton, ON L8S 4K1, Canada
           Email: grassel@mcmaster.ca

  Alternate Contact Information
           Name: Steven Keen
           Institution: University College of London
           Address: University College London, London, WC1E 6BT, UK
           Email: debunking@gmail.com

3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>

20200215 to 20210430

4. Geographic location of data collection (where was data collected?): 

Online, see references in published paper

5. Information about funding sources that supported the collection of the data:

Datasets and code are related to a paper published in the journal Earth System Dynamics by Garrett, Grasselli, and Keen "Lotka’s wheel and the long arm of history: how does the distant past determine today’s global rate of energy consumption?" This work was supported by the National Institute of Economic and Social Research and the Economic and
Social Research Council (ES/R00787X/1), whose views it does not represent.

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:

CC BY - Allows others to use and share data, even commercially, with attribution

2. Links to publications that cite or use the data:

See original manuscript in Earth System Dynamics

3. Links to other publicly accessible locations of the data: NA

4. Links/relationships to ancillary data sets: NA

5. Was data derived from another source? 
           If yes, list source(s):

6. Recommended citation for the data: NA

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DATA & FILE OVERVIEW
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1. File List
   A. Filename:  WealthReconstruction.m
      Short description: MATLAB code for reconstructing GDP, population, and Wealth datasets between 1 CE and 1969 CE

        
   B. Filename: RecentData.csv
       Short description: Datasets used in the article between 1970 and 2019

        
   C. Filename: Reconstruction.csv
       Short description: Reconstructed datasets including the years 1 CE to 1969

2. Relationship between files:        

3. Additional related data collected that was not included in the current data package: NA

4. Are there multiple versions of the dataset? No
   If yes, list versions: 
           Name of file that was updated:
                     i. Why was the file updated? 
                ii. When was the file updated?
           Name of file that was updated:
                      i. Why was the file updated?
                    ii. When was the file updated?

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: NA
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data: NA
<describe how the submitted data were generated from the raw or collected data>

3. Instrument- or software-specific information needed to interpret the data: NA

4. Standards and calibration information, if appropriate: NA

5. Environmental/experimental conditions: NA

6. Describe any quality-assurance procedures performed on the data: NA

7. People involved with sample collection, processing, analysis and/or submission: NA

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DATA-SPECIFIC INFORMATION FOR: RecentData.csv
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<create sections for each dataset (or file if appropriate) included>

1. Number of variables: 6

2. Number of cases/rows: 50

3. Variable List

    A. Name: Year
       Description: Year

    B. Name: EIA energy (EJ/yr)
       Description: EIA energy (EJ/yr)

    C. Name: BP energy (EJ/yr)
       Description: BP energy (EJ/yr)

    D. Name: UN GDP (trillion 2019 USD)
       Description: UN GDP (trillion 2019 USD)

    E. Name: WB GDP (trillion 2019 USD)
       Description: WB GDP (trillion 2019 USD)

    F. Name: GDP deflator
       Description: GDP deflator

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DATA-SPECIFIC INFORMATION FOR: Reconstruction.csv
-----------------------------------------
<create sections for each dataset (or file if appropriate) included>

1. Number of variables: 6

2. Number of cases/rows: 50

3. Variable List

    A. Name: Year
       Description: Year

    B. Name: GDP (trillion 2019 USD)
       Description: GDP (trillion 2019 USD)

    C. Name: W (trillion 2019 USD)
       Description: Historically cumulative world real GDP W (trillion 2019 USD)

    D. Name: Population (millions)
       Description: Population (millions)

    E. Name: Energy (EJ/yr)
       Description: World Energy (EJ/yr)

4. Missing data codes: NaN

5. Specialized formats of other abbreviations used

DigitalMagnification = 1x for all images

Number = could be one of two things – image number automatically assigned by instrument or mouse number

Ext = TIFF