Table 1 Name and variables of time series datasets for global holidays and air travel.
From: Global holiday datasets for understanding seasonal human mobility and population dynamics
Name | Variables and explanations | File Format | University of Southampton DOI |
|---|---|---|---|
Global Public Holidays Data, 2010–201927 | ADM_name (Name of the country or territory), ISO3 (ISO 3166 alpha-3 code of the country or territory), Date (DD/MM/YYYY), Name (name of public holiday), and Type (type of public holiday). | csv | |
Global School Holidays Data, 2010–201928 | ADM_name, ISO3, Name_short (name of school holiday), Date_b19 & Date_e19 (the beginning date and end date of a school holiday in 2019), …, Date_e10 & Date_e10 (the beginning date and end date of a school holiday in 2010). | csv | |
Daily Time Series of Global Public and School Holidays, 2010–201929 | ISO3, Date, ADM_name, Year (2010–2019), Month (1–12), Week (week numbers in a year), Day (day numbers in a month: 1–31), holiday (public holiday: 1 - Yes, 0 - No), school (school holiday: 1 - Yes, 0 - No), and hl_sch (public or school holiday: 1 - Yes, 0 - No). | csv | |
Weekly Time Series of Global Public and School Holidays, 2010–201930 | ISO3, ADM_name, Year, Week, holiday, and hl_sch. | csv | |
Monthly Time Series of Global Public and School Holidays, 2010–201931 | ISO3, ADM_name, Year, Month, holiday, and hl_sch. | csv | |
Monthly Volume of Airline Passengers in 90 countries, 2010–201832 | ISO3, Year, Month, Total (total number of air passengers in thousands, obtained from official statistics; NA – data non-available), Domestic (number of internal air passengers in thousands for a country, obtained from official statistics), International (number of international air passengers in thousands, obtained from official statistics), and Total_OS (total number of air passengers in thousands, obtained from other openly available data sources). | csv |
