Global Environmental Change
ISSN: 0959-3780
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Datasets associated with articles published in Global Environmental Change
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Mine Production and GIS Data associated with the paper "Global-scale remote sensing of mines and analysis of factors explaining their extent"
Data Types:
  • Geospatial Data
  • Tabular Data
  • Dataset
Data and replication files (STATA 13 format) for the paper: Climate Change and Migration: Is Agriculture the Main Channel? (Chiara Falco, Marzio Galeotti and Alessandro Olper)
Data Types:
  • Software/Code
  • Dataset
The files enclosed are related to the dataset (STATA format), and variables description, of the article: "Climate Change and Migration: Is Agriculture the Main Channel? ( Falco, C., Galeotti M. and Olper, A) Submitted to Global Environmental Change.
Data Types:
  • Software/Code
  • Dataset
  • Document
Includes input and output associated with the study model, a codebook with file and variable descriptions, and methodological comparisons with other studies. The model estimates the annual per capita and whole country greenhouse gas (GHG) and blue and green water footprints for nine diets and baseline consumption patterns specific to 140 countries. Input includes data on consumption patterns, international trade, scaling parameters for each item in each modeled diet, GHG and water footprints of individual food items, product and value fractions for processed items, item production by country, nutrient composition, and serving sizes. Additional details are provided in the codebook. Output includes the nutrient composition of each diet, and GHG and water footprints of whole diets presented at varying levels of granularity: (1) by country and diet, (2) by country, diet, and item group, and (3) by country, diet, item, and country of origin. Also provided are per-serving, per-kilocalorie, per-gram of protein, and per-kilogram footprints of common food groups. Additional details are provided in the codebook. "study_comparison" provides information on the methods and scope of the current study and of 99 prior studies on the GHG and/or water footprints of diets.
Data Types:
  • Tabular Data
  • Dataset
  • Document
Includes all participant responses for, "Priming critical thinking: Simple interventions limit the influence of fake news about climate change on Facebook".
Data Types:
  • Tabular Data
  • Dataset
Processed data accompanying article 'The role of global dietary transitions for safeguarding biodiversity.'
Data Types:
  • Dataset
  • File Set
Supplement to: Yin et al. (2019) Agricultural abandonment and re-cultivation during and after the Chechen Wars in the northern Caucasus. Global Environmental Change.
Data Types:
  • Dataset
  • File Set
This Excel file contains three pages of data: 1. Data for all documents reviewed. 2. Data for documents that were explicitly framed as mountain and adaptation focused. 3. Summary statistics for both sets of documents. For pages 1 and 2, columns represent questions asked about each document. See the Questionnaire and Codebook in the article’s Supplementary Materials for details about questions as well as descriptions for possible response options. For pages 1 and 2, values in Column A “PR” and “GL” stand for per-reviewed and grey literature, respectively. For pages 1 and 2, each row represents a ‘discrete adaptation initiative’. Discrete adaptation initiatives are defined as actions that are distinct in their timing, form, intent, or scope. One document may report several discrete adaptation initiatives. For pages 1 and 2, raw data is disaggregated in columns AO - GF to facilitate analysis.
Data Types:
  • Tabular Data
  • Dataset
R script developed for analysis.
Data Types:
  • Software/Code
  • Dataset
Raw data and a record of studies excluded.
Data Types:
  • Tabular Data
  • Dataset
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