Mining metadata from unidentified ITS sequences in GenBank: A case study in ()-3

• Main Authors: Töpel, Mats, Ryberg, Martin, R Henrik Nilsson, Kristiansson, Erik, Jacobsson, Stig, Larsson, Ellen
• Format: Dataset
• Language: unknown
• Published: figshare 2011
• Subjects: 60102 Bioinformatics; FOS Computer and information sciences; Geiger; Tundra
• Online Access: https://dx.doi.org/10.6084/m9.figshare.76209.v1; https://figshare.com/articles/dataset/Mining_metadata_from_unidentified_ITS_sequences_in_GenBank:_A_case_study_in_()-3/76209/1

represents climate according to the Köppen-Geiger climate classification (modified from [28]); main climate A = equatorial, B = arid, C = warm temperate, D = snow, E = polar; precipitation W = desert, S = steppe, f = fully humid, s = summer dry w = winter dry, m = monsoonal; temperature h = hot arid, k = cold arid, a = hot summer, b = warm summer, c = cool summer, d = extremely continental, F = polar frost, T = polar tundra. Black symbols represent studies with unidentified sequences, white symbols represent studies with fully identified sequences, and grey symbols represent studies with both unidentified and fully identified sequences. Circles represent studies for which the coordinates were given in the paper in which they were published, diamonds represent studies where the location had to be inferred from the locality given in the paper, and squares represent studies where the location was not available beyond the country/state level. The numbers correspond to the number given to each study in the Additional file . Copyright information: Taken from "Mining metadata from unidentified ITS sequences in GenBank: A case study in ()"http://www.biomedcentral.com/1471-2148/8/50BMC Evolutionary Biology 2008;8():50-50.Published online 18 Feb 2008PMCID:PMC2275786.