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IRUS-ANZ has moved. From January 2022, new monthly statistics will only be added to the IRUS R5 service. This site is archived. All statistics up to December 2021 will remain available on this site.

Item Statistics

Statistical solutions for error and bias in global citizen science datasets

RepositoryUniversity of Melbourne [Minerva Access]
URLhttp://hdl.handle.net/11343/217145
Author(s)orcid:0000-0002-8787-1786; orcid:0000-0001-9329-6717; orcid:0000-0003-4949-4120; orcid:0000-0003-0833-9001; orcid:0000-0002-6947-4445; orcid:0000-0003-0192-4339; orcid:0000-0002-6167-1356; orcid:0000-0003-2493-3676; Bird, TJ; Bates, AE; Lefcheck, JS; Hill
Item typeArticle
JournalBiological Conservation, Print_ISSN:0006-3207
DOIhttps://doi.org/10.1016/j.biocon.2013.07.037

Usage Date Range

Note: Daily statistics are only available for the last six weeks.

     

Country Reporting Period Total 2021-12-03 2021-12-04 2021-12-05 2021-12-06 2021-12-07 2021-12-08 2021-12-09 2021-12-10 2021-12-11 2021-12-12 2021-12-13 2021-12-14 2021-12-15 2021-12-16 2021-12-17 2021-12-18 2021-12-19 2021-12-20 2021-12-21 2021-12-22 2021-12-23 2021-12-24 2021-12-25 2021-12-26 2021-12-27 2021-12-28 2021-12-29 2021-12-30 2021-12-31 2022-01-01 2022-01-02 2022-01-03
Overall totals 32 1 1 0 0 1 3 1 2 0 0 0 2 2 4 0 1 0 3 2 0 2 0 0 0 2 0 1 1 1 0 0 2
United Kingdom 4 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Argentina 3 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Australia 3 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Canada 3 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
China 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0
Colombia 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
Germany 2 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Korea, Republic of 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
United States 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
France 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Italy 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Japan 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Malaysia 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Mexico 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Sweden 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Taiwan 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Unknown 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
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