Table 2.

Description of folder structure and files in the produced and publicly accessible dataset²⁰.

File name	Description
ReadMe.md	Description file in Markdown format.
scopus_202*_V1_scholarlymigration_country_enriched.csv	Country level yearly dataset on international emigration, immigration, net migration rates and other variables based on Scopus.
scopus_202*_V1_scholarlymigration_countryflows_enriched.csv	Country level yearly “flow” dataset on international emigration, immigration, net migration rates and other variables based on Scopus.
openalex_202*_V1_scholarlymigration_country_enriched.csv	Country level yearly dataset on international emigration, immigration, net migration rates and other variables based on OpenAlex.
openalex_202*_V1_scholarlymigration_countryflows_enriched.csv	Country level yearly “flow” dataset on international emigration, immigration, net migration rates and other variables based on OpenAlex.
01_prepare_enrich_data.py	Source code (Python >=3.9) for downloading World Bank data and merging with Scopus and OpenAlex data.
02_merge_openalex_and_scopus.py	Source code (Python >=3.9) for merging Scopus and OpenAlex data.
03_plotting.py	Source code (Python >=3.9) for plotting Figures 2–6.
04_compare_share_of_mobile_researchers.py	Source code (Python >=3.9) for comparing Scopus, ORCID, and OpenAlex data. Please note, raw data at individual author level is not shared due to license limitations of Scopus. ORCID and OpenAlex data are publicly available.
FIGURES\	Folder with plotted figures in PDF format. Produced by script 03.
data_input\	Folder with input data (aggregated migration events of scholars).
data_processed\	Folder with processed/enriched data. Produced by scripts 01 and 02

For convenience of use, we have included the dataset in both CSV and parquet formats while maintaining the same file names.