| 19 | 9. **Comparison_EDGAR_CEDS.ipynb**: easily, comparison of the two inventories. Sees some wierd emissions per country. |
| 20 | 10. **work_on_data_by_sector_country-repartitionEDGAR.ipynb**: same as the one with an equivalent name but using repartition of EDGAR inventory for regions. |
| 21 | 11. **Transform_country_csv_to_nc_1970_2019.ipynb**: same as the one with an equivalent name but with computation of a regional and sectorial factor. |
| 22 | 12. **StepBeforeTransform_create_data_df_ncfile_for_edgar_repartition.ipynb**: using EDGAR regional repartition, create regional mask and emissions dataframe in order to transform them into ncfile. |
| 23 | * (22/10/18) Notebooks to reconstruct emissions from 1850 to 1970 |
| 24 | 13. **Proxy_reconstruction_preindustriel.ipynb**: With NMVOC emissions from pre industrial, analyses evolution and correlation between NMVOC and N,,2,,O. (not very useful except to have dataframe for the next step) |
| 25 | 14. **Proxy_reconstruction_preindustriel-NOx.ipynb**: same as the previous one but using NOx emissions rather than NMVOC. Made because emissions converge to zero in 1750, which is not the case for NMVOC. |
| 26 | 15. **create_proxy_n2o_via_nmvoc.ipynb**: using NMVOC data, reconstruction of a csv files with emissions per country from 1850 to 1969. |
| 27 | 16. **Transform_proxy.ipynb** |
| 28 | |