Data for Staab et al. MEE

The excel file ‘Data for Staab et al. MEE’ contains 4 separate spreadsheets (‘column_headers’ / ‘raw_data’ / ‘data_mapping’ / ‘research_topics_year’). Spreadsheet ‘column_headers’ explains the content of each column in the 3 other spreadsheets. Spreadsheet ‘raw_data’ contains the full raw details of the literature search. Please see the ‘column_headers’ spreadsheet for details of each column. Spreadsheet ‘data_mapping’ contains the locality information for all studies. In the rare case that a study had several broadly separated sampling locations within a country, one of these localities was randomly selected for the spatial analyses (specified by ‘yes’ in column ‘taken_in_case_of_multiple_sites’). However, if a study had sampling sites in more than one country, one locality for each country was taken. The same was done if sampling sites of a publication included several political units (states or provinces) within the ten largest countries of the world, of which Argentina, Australia, Brazil, Canada, China, and the USA have trap nest studies. In these cases, the entry in the ‘study_ID’ appears multiple times, once for each locality). This dataset can be used to reproduce the geographic and climatic analyses shown in Figure 2. Please see also the ‘column_headers’ spreadsheet. Spreadsheet ‘research_topics_year’ contains the categorized topics (aggregated per year) of all 481 studies identified with the keyword search in in the ISI Web of Science™ (until 2016) (see Table 2 in the publications). Numbers are mutually non-exclusive because a single study can address several topics. Column ‘n_studies’ gives the total number of studies for every year. This dataset can be used to reproduce the analyses shown in Table 3 and Figure 3.