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9 results for “Eiseniella”
Fig. 6 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 6 Predicted secondary structures of 28S gene for Spanish and Italian specimens from the studied populations and of six different species: A. trapezoides, A. dubiosa, D. octaedra, D. byblica, I. albo-
Fig. 5 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 5 Haplotype network based on 28S. Each black circle represents a different haplotype; their size is proportional to the number of samples belonging to that haplotype. Each perpendicular line indicates a mutational step, if there were more than four it is shown with the number of mutational steps. White circles are hypothetical intermediate haplotypes. Branch length does not contain any information
Fig. 3 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 3 Bayesian inference (BI) of the phylogenetic tree of lumbricids based on concatenated sequences of COI, 16S, 28S, 12S, and ND1 (long dataset). Posterior probability/bootstrap support values (of maximum likelihood analysis, ML) are shown as black squares when higher than 0.9/0.7 (BI/ML). Gray triangles represent two or more species of a genus-level clade collapsed to facilitate interpretation of
Fig. 1 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 1 Localities sampled. GPS coordinates and number of specimens collected can be found in Supplementary Table 1. Specimens from Italy (3, 4, 5, 6, 7, 8, and 9) and Cyprus (2) belong to E. neapolitana. Specimens from Spain (1) belong to N. andaluciana
Fig. 4 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 4 Haplotype network based on COI. Each black circle represents a different haplotype; their size is proportional to the number of samples belonging to that haplotype. Each perpendicular line indicates a mutational step; if there were more than four, it is shown with the number of mutational steps. White circles are hypothetical intermediate haplotypes. Branch length does not contain any information
Fig. 9 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 9 Box-plot diagram of number of segments in the studied populations and E. tetraedra. Different letters indicate different groups in multiple range tests
Fig. 8 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 8 Illustrations of internal anatomy of specimens studied
Fig. 2 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 2 Bayesian inference (BI) of the phylogenetic tree based on conj- Posterior probability/bootstrap support values (of maximum likelihood analysis, ML) are shown as black squares when higher than 0.9/0.7
Fig. 7 in Guess who? Taxonomic problems in the genus Eiseniella revisited by integrated approach
Fig. 7 Bayesian inference (BI) of the phylogenetic tree based on sequences of COI of the studied populations and E. tetraedra. Posterior probability is shown as black squares when higher than 0.9. The scale bar represents 0.04 substitutions per position. Sample numbers correspond to references in the
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.