Citizen_science_in_lockdown_data_v4.0

The dataset is part of the manuscript "Global impact of the COVID-19 lockdown on biodiversity data collection" by Stephanie Roilo, Ruben Remelgado, Jan O. Engler, and Anna F. Cord, which is currently under revision. Please acknowledge this publication when using the data. 

### DATA DESCRIPTION ####

This zipped folder contains:- the file "Data_249_countries_20230321.csv", which, for each day between January 1st 2019 and October 15th 2022, collates the following data:    -- the number of human observations (n_HumObs) per day collected in the Global Biodiversity Information Facility (GBIF) as of March 21st 2023,     -- the number of eBird records per day in GBIF (n_CLO) as of March 21st 2023,       -- the stringency index from the Oxford COVID-19 Government Response Tracker,     -- the change in park visitors and the change in time spent at home from the Google Community Mobility Reports (https://support.google.com/covid19-mobility),     -- information on the week day (weekday), week number (weeknr), and year (year),    -- the country, or dependent territory, name (Country) and its two-lettered code (country_iso2)    for 249 countries or dependent territories according to the ISO 3166 country code list;- 40 files (one per country) named "CLO_XX_March15_May1_2019_2020.csv", which summarise, for each day between March 15th 2019 and May 1st 2019:    -- the number of eBird records (n_CLO) collected and stored in the Global Biodiversity Information Facility (GBIF),     -- the number of unique observers (n_obsr),     -- and the observers' IDs (ID_obsr),     for each country or dependent territory separately. These data were downloaded between the 9th and the 30th of January 2024.- the file "Linear_regression_full_dataset_20240904.xlsx", which contains the dataset used in the linear regression explaining the change in GBIF records relative to the stringency index, human mobility variables, and countries' economic class and population size.