Uncertainty of EXIOBASE GHG emission acounts 2015

This repository contains GHG emission accounts (also referred to as GHG extensions) and their uncertainties for the year 2015 according to the country and sector resolution of the Multi-Regional Input-Output (MRIO) database EXIOBASE. The data is the outcome of our study published in the Journal of Earth System Science Data (ESSD): https://essd.copernicus.org/articles/16/2669/2024/essd-16-2669-2024.html The GHG emission accounts contain production-based emissions of the three major GHGs (CO2, CH4, N2O) from 11 different categories for 163 industry sectors each in 49 countries and regions covering the entire world. They are aligned with the EXIOBASE version 3.8.2 available on Zenodo. All data files starting with F_ are stored in the feather format which allows sharing of data between different platforms (Python, R, C, etc.). The F_*.feather files all contain numeric matrices with 33 rows (3 GHGs x 11 categories) and 7987 columns (49 regions x 163 sectors). The columns are in the same order as the EXIOBASE v3 tables thus they can be directly used together with the EXIOBASE v3.8.2 data to calculate GHG footprints. Content of the data files: samples.zip contains the 1000 Monte-Carlo samples (1000 F-matrices). F_mean.feather: Mean over all samples. F_cv.feather: Coefficient of Variation (CV) over all samples. CV is defined as the standard deviation divided by the mean. F_median.feather: Median over all samples. correlation_table.feather: A (large) table listing the Pearson correlation coefficients between each different data item of the F-samples. The columns i and j represent the sector-ID index_rows.csv and index_cols.csv: The indices of the F_*.feather matrices (row-names and column-names, respectively). index_cols.csv can also be merged with the correlation table to find out which sectors are behind the IDs.