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APPENDIX 3 in Molecular data reveal the presence of three Plocamium Lamouroux species with complex patterns of distribution in Southern Chile
APPENDIX 3. — Automatic Barcode Gap Discovery (ABGD) results and distribution of pairwise distances for the marker 5P-COI. A, ABGD results showing the number of groups (primary partitions) obtained for a range of prior maximum divergence of intraspecific diversity; B, bar chart showing the proportion of pairwise comparisons of 5P-COI gene at each range of sequence divergence (K2P distance). Intraspecific divergences are represented in grey bars and divergences belonging to different species are represented in yellow bars.
APPENDIX 4. — Ultrametric Bayesian tree reconstructed with the 5P in Molecular data reveal the presence of three Plocamium Lamouroux species with complex patterns of distribution in Southern Chile
APPENDIX 4. — Ultrametric Bayesian tree reconstructed with the 5P-COI marker. The dotted vertical red line indicates the maximum likelihood transition point of the switch in branching rates, as estimated by a General Mixed Yule-Coalescent (GMYC) model. The GMYC analysis was performed using a single threshold. Haplotype code as in Appendix 5.
APPENDIX 1 in Molecular data reveal the presence of three Plocamium Lamouroux species with complex patterns of distribution in Southern Chile
APPENDIX 1. — Maximum likelihood (ML) phylogram of the genus Plocamium Lamouroux based on rbcL sequences. ML bootstrap (BS)/Bayesian posterior probability (PP) values are shown above or close to each branch and only values superior to 75 and 0.75, respectively, are given. Colors correspond to oceans where individuals sequenced where sampled. Outgroup corresponds to Sarcodia ciliata Zanardini (GenBank accession: KM360040).
FIG. 3. — A in Molecular data reveal the presence of three Plocamium Lamouroux species with complex patterns of distribution in Southern Chile
FIG. 3. — A, ML tree (left) and Neighbour joining (NJ) network (right) inferred from 5P-COI sequences dataset of Plocamium specimens from the present study. In the tree, numbers above the branches are support values as inferred from ML analysis, only values superior to 75 are given. In the NJ networks, haplotypes are represented by open circles with size proportional to frequency within each genetic species (see upper left corner for correspondence between number of sequences and circle size). For haplotypes separated by more than one mutational step, black bars indicate the additional number of steps; B, Plocamium Lamouroux species distribution; the number (N) of individuals sequenced is indicated for each sampling locality. Code for each locality as in Table 1; haplotype code as in Appendix 5. Dashed line represents the biogeographic transition zone located at 42°S.
FIG. 1 in Molecular data reveal the presence of three Plocamium Lamouroux species with complex patterns of distribution in Southern Chile
FIG. 1. — Maximum likelihood (ML) phylogram of the genus Plocamium Lamouroux based on 5P-COI sequences. ML bootstrap (BS)/Bayesian posterior probability (PP) values are shown above each branch and only values superior to 75 and 0.75, respectively, are given. Colors correspond to oceans where individuals sequenced where sampled. Species names, as reported in GenBank, are given on the right. Outgroup corresponds to Asparagopsis armata Harvey (GenBank accession: KJ960344).
figure 5 Lineage through time plot within G. subgutturosa with cytb. The 95 in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 5 Lineage through time plot within G. subgutturosa with cytb. The 95% highest posterior density interval is shown in blue.
figure 3 Mismatch distributions within the G in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 3 Mismatch distributions within the G. subgutturosa. The expected line (green color) compared with the observed frequencies under the sudden expansion model using cytb. (A) the mmd diagram for the Asiatic population shows a recent expansion. (B) the mmd diagram for the Middle Eastern population and (C) the mmd diagram for the Central Iranian population.
figure 8 Potential distribution modeling for G. subgutturosa across different time periods, including a in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 8 Potential distribution modeling for G. subgutturosa across different time periods, including a) the Last Glacial Maximum (lgm; 21 Kya) and b) mid-Holocene (6 kya) as past scenarios, c) the present as a current scenario, and future climatic projections for 2070 are based on specific climate models (d: bcc-csm 1, rcp: 4.5; e: bcc-csm1, rcp: 6; f: ccsm 4, rcp: 4.5; g: ccsm 4, rcp: 6.0). Habitat suitability is visualized using color gradients, with blue representing the highest suitability Downloaded from Brill.com 06/21/2024 06:25:06PM and green representing the via lowestOpensuitability Access..This The is presence an openof access article distributed under the terms G. subgutturosa is denoted by a red dot. of the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/
figure 2 The dated phylogenetic trees using the cytb gene for G. subgutturosa. Blue bars show 95 in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 2 The dated phylogenetic trees using the cytb gene for G. subgutturosa. Blue bars show 95% highest posterior density intervals of the estimated node ages; numbers next to the nodes are mean node ages (Mya). The red and green lines show new haplotypes from this study.
figure 1 in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 1 Sampling locations of new specimens of G. subgutturosa from four locations in the present study. Parvar Protected Area, Sorkheh-Hesar National Park, Bashgol Protected Area, and Sohrein Protected Area. Hatched areas on the map indicate the provinces where each location is situated.
figure 6 in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 6 Median-joining haplotype network of G. subgutturosa using the cytb gene. The blue color Haplogroup refers to the Asiatic clade, the pink color Haplogroup is assigned to the Middle Eastern clade and the yellow color Haplogroup demonstrates the Central Iranian clade.
figure 7 in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 7 The biogeographic analysis of G. subgutturosa using s-diva (1) and bbm (2) based on cytb. For these analyses, three clades were considered: the Asiatic distribution (A), the Middle Eastern distribution (B), and the central Iranian distribution (C). The green and red circles around the nodes show vicariance and dispersal events, respectively.
Fig. 6. Olonia spp., distribution maps. A in Revision of the Eurybrachidae XVIII. The Australian genus Olonia Stål, 1862: Four new species, new records and biological data (Hemiptera: Fulgoromorpha)
Fig. 6. Olonia spp., distribution maps. A. Olonia albomarginata sp. nov., O. guillaumei Constant, 2018, O. lindae sp. nov. and O. rubicunda (Walker, 1851). B. Olonia aschei sp. nov., O. jackiei sp. nov. and O. picea Kirkaldy, 1906.
Fig. 4 in Species composition and distribution of medusae (Cnidaria: Medusozoa) along the Algerian coast between 2°E and 7°E (SW Mediterranean Sea) Abstract
Fig. 4: Correspondence analysis (CA) showing the repartitions of the medusa species between the central and eastern regions.
Fig. 2 in Species composition and distribution of medusae (Cnidaria: Medusozoa) along the Algerian coast between 2°E and 7°E (SW Mediterranean Sea) Abstract
Fig. 2: Fluctuation of the environmental parameters at the sampling stations along the Algerian coast (a: temperature; b: salinity; c: chlorophyll a).
Fig. 6 in Species composition and distribution of medusae (Cnidaria: Medusozoa) along the Algerian coast between 2°E and 7°E (SW Mediterranean Sea) Abstract
Fig. 6: Principal component analysis (PCA) showing the relationships between the medusae species and the environmental variables.
Fig. 5 in Species composition and distribution of medusae (Cnidaria: Medusozoa) along the Algerian coast between 2°E and 7°E (SW Mediterranean Sea) Abstract
Fig. 5: Spatial distribution of the main species: a. A. hemistoma; b. L. tetraphylla; c. R. velatum; and d. P. noctiluca along the Algerian coast (2°E -7°E) during the surveyed period. Table 3. Segregation values (D index) recorded between pairs of dominant species along the Algerian coast.
Figs 1–4 in On Taxonomy, Nomenclature, And Distribution Of Some Palaearctic Lagriini, With Description Of A New Species From Taiwan (Coleoptera: Tenebrionidae)
Figs 1–4. Arthromacra chifengi sp. n.: 1 = male, 2 = aedeagus, ventral view, 3 = aedeagus, lateral view, 4 = female. Not to scale
Figs. 41–44 in Taxonomical And Distributional Notes On New And Known Palaearctic Platygastrid Species (Hymenoptera: Platygastridae)
Figs. 41–44. Synopeas kanwonensis sp. n., female: 41 = head in dorsal view, 42 = antenna, 43 = scutellum in lateral view, 44 = metasoma in dorsal view.
Figs 37–40 in Taxonomical And Distributional Notes On New And Known Palaearctic Platygastrid Species (Hymenoptera: Platygastridae)
Figs 37–40. Synopeas epigeios sp. n., female: 37 = head in dorsal view, 38 = antenna, 39 = scutellum in lateral view, 40 = metasoma in dorsal view.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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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.