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4 results for “Jaculus blanfordi”
Figure 2. Maximum-likelihood trees for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 2. Maximum-likelihood trees for J. blanfordi mtDNA haplotypes in different datasets for cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp). The numbers next to the nodes indicate the bootstrap (>50%) and posterior probability (>0.50) values obtained by maximum-likelihood and Bayesian inference, respectively. The trees are rooted with haplotypes from J. orientalis and J. jaculus. See Table 1 and Figure 1 for the haplotype designations and corresponding localities.
Figure 1 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 1. Geographical locations of J. blanfordi samples included in the present study. The locality numbers correspond to those in Table 1. The shaded zones in the map correspond to the distribution range of Blanford's jerboa (Shenbrot and Molur, 2008).
Figure 3. Median-joining networks for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 3. Median-joining networks for J. blanfordi mitochondrial DNA haplotypes in the different datasets for cyt b (1110 bp), COI (618 bp) and COI + cyt b (313 bp + 284 bp). The numbers of mutations (greater than 1) between the haplotypes are indicated near the branches and circle sizes are proportional to the number of similar haplotypes. See Table 1 for the haplotype designations.
Figure 4 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 4. Observed and expected mismatch distribution of haplotypes for the cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp) datasets.
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Allen Brain Atlas
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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.