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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: Statistics broken down by country are only available from Apr 2019 onwards.

     

Country Reporting Period Total Apr-2019 May-2019 Jun-2019 Jul-2019 Aug-2019 Sep-2019 Oct-2019 Nov-2019 Dec-2019 Jan-2020 Feb-2020 Mar-2020 Apr-2020 May-2020 Jun-2020 Jul-2020 Aug-2020 Sep-2020 Oct-2020 Nov-2020 Dec-2020 Jan-2021 Feb-2021 Mar-2021 Apr-2021 May-2021 Jun-2021 Jul-2021 Aug-2021 Sep-2021 Oct-2021 Nov-2021 Dec-2021
Overall totals 884 26 19 38 20 23 16 28 31 17 22 18 29 31 22 30 21 20 35 41 23 1 0 25 34 33 35 24 34 30 41 41 42 34
United States 199 9 6 14 3 4 9 2 5 5 7 2 7 4 3 7 10 8 12 5 4 0 0 6 5 6 6 6 9 3 5 13 12 2
Australia 116 3 2 1 2 5 1 3 7 0 0 0 3 9 4 1 2 1 4 10 3 0 0 2 5 10 6 4 3 9 8 3 2 3
United Kingdom 92 8 2 6 1 3 0 5 1 1 4 1 1 3 5 3 0 0 0 5 8 1 0 6 2 1 8 0 3 2 2 3 2 5
Canada 53 0 2 1 3 2 0 1 5 0 0 1 1 2 2 2 0 0 1 1 1 0 0 1 6 3 0 3 3 3 4 2 0 3
France 40 1 0 2 0 2 0 1 0 1 0 1 3 2 1 1 1 0 0 5 1 0 0 1 3 1 3 3 0 2 3 0 1 1
Germany 36 0 1 0 1 0 0 3 4 0 1 1 0 1 1 2 0 1 4 2 1 0 0 0 2 1 3 2 1 0 1 0 0 3
China 27 0 0 1 0 0 0 0 0 0 0 2 0 0 0 1 1 1 0 1 0 0 0 0 2 1 0 2 4 2 3 2 1 3
Netherlands 27 0 1 1 1 0 0 4 0 0 0 1 1 1 1 3 0 0 5 1 0 0 0 0 0 0 2 0 0 0 0 1 4 0
Italy 17 0 0 0 3 0 0 0 1 1 1 0 1 0 1 0 1 0 0 0 0 0 0 0 2 0 3 0 1 0 0 0 0 2
Belgium 16 0 0 0 0 0 0 0 2 0 1 1 0 1 1 0 0 0 1 2 1 0 0 0 0 5 0 0 0 0 1 0 0 0
Spain 16 0 0 0 0 1 0 0 1 2 1 1 0 0 0 2 1 1 0 2 0 0 0 0 0 0 0 0 0 1 0 0 2 1
Unknown 16 1 0 2 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 3 5 1
Norway 13 0 0 0 1 0 0 1 1 1 1 0 2 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 2 0
Japan 12 1 0 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 1 0 2 0 0 1
India 11 0 1 0 0 0 0 1 0 0 0 0 0 0 0 2 1 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 3 0
Hong Kong 10 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 2 0 2 1 0
Ireland 10 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0
New Zealand 10 0 1 0 3 2 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Portugal 10 0 0 0 0 0 0 0 0 1 0 0 2 3 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0
Argentina 8 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 1 0 0 0 0 0 3
Colombia 8 1 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Singapore 8 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 2 0 0
Denmark 7 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 1 2 1 2 0 0
Korea, Republic of 7 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 1 0 0 1 2 2
Switzerland 7 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0
Taiwan 7 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
Brazil 6 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Austria 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0
Chile 5 0 0 0 0 0 0 0 1 0 0 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Israel 5 0 0 2 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 2 0
Mexico 5 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
Russian Federation 5 0 0 1 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
Sweden 5 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 3 1 1
Vietnam 5 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0
Finland 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 1 0 0 0 0 0 0
Kenya 4 0 0 1 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Malaysia 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
Philippines 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0
Costa Rica 3 0 0 0 1 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
Indonesia 3 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 2 0 0 0
Iran, Islamic Republic of 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0
Pakistan 3 0 0 1 0 0 0 0 1 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
Romania 3 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 0 0 0 1 0
Seychelles 3 0 1 1 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 0
Thailand 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Croatia 2 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 1 0 0 0
Czech Republic 2 0 0 1 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
Lithuania 2 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 1 0 0 0
Poland 2 0 0 0 0 1 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 0 0
South Africa 2 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 0
Belarus 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 0
Bermuda 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 0 0 0 0 0 0 0 0
Cambodia 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 0
Cyprus 1 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 0 0 0 0
Egypt 1 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 0 0 0 0 0
Ethiopia 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 0 0 1 0 0 0 0
Lebanon 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 1 0 0 0 0 0 0 0
Moldova, Republic of 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 0 0 0 0 0 1 0
Myanmar 1 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 0 0 0 0 0 0
Panama 1 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 0 0 0 0 0 0 0
Papua New Guinea 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 1 0 0 0 0 0 0 0
Sudan 1 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 0 0 0 0
Uganda 1 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 0 0 0 0 0 0
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