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FIGURE 4 in Geographic variation in quantitative skull traits and systematic of southern populations of the leaf-eared mice of the Phyllotis xanthopygus complex (Cricetidae, Phyllotini) in southern South America
FIGURE 4. Dice-Leraas diagrams elaborated with the geometric mean (a) and individual scores of the first principal component (b) over selected localities of the geographical groups busw, rnsc, chnc, chew, chce, chse, scnw, scne, and scwc in a NE-SW transect. The black spots represent the means; the gray area represent the 95% confidence intervals and the bars the range. For the acronyms, see Materials and Methods section.
FIGURE 3 in Geographic variation in quantitative skull traits and systematic of southern populations of the leaf-eared mice of the Phyllotis xanthopygus complex (Cricetidae, Phyllotini) in southern South America
FIGURE 3. Specimen scores of adult individuals (ages 3–5) of Phyllotis (N = 336) for: a) Shape variable principal components 1 and 2 (light green = busw; dark green = coce and slno; orange = menw, mewe and nqne; blue = mesw, nqnw, nqso; red = chce, chnc, chse, chsw, chew, rnsc, scne, scnw, scwc); b) Shape variable canonical variates 1 and 2 extracted from 18-group discriminant function analysis based on samples grouped by its geographical origin (colors as in A); c) Shape variable principal components 1 and 2 (light green = bona; dark green = cent; yellow = nort; blue = west; red = sout); and ds) Shape variable canonical variates 1 and 2 extracted from 5-group discriminant function analysis based on samples grouped by its membership to mitochondrial lineages (colors as in C). For the acronyms, see Materials and Methods section.
FIGURE 2 in Geographic variation in quantitative skull traits and systematic of southern populations of the leaf-eared mice of the Phyllotis xanthopygus complex (Cricetidae, Phyllotini) in southern South America
FIGURE 2. Specimen scores of adult individuals (ages 3–5) of Phyllotis (N = 336) for: a) Size dependent principal components 1 and 2 (light green = busw; dark green = coce and slno; orange = menw, mewe and nqne; blue = mesw, nqnw, nqso; red = chce, chnc, chsc, chse, chsw, chew, rnsc, scne, scnw, scwc); b) Size dependent canonical variates 1 and 2 extracted from 18-group discriminant function analysis based on samples grouped by its geographical origin (colors as in A); c) Size dependent principal components 1 and 2 (light green = bona; dark green = cent; yellow = nort; blue = west; red = sout); and d) Size dependent canonical variates 1 and 2 extracted from 5-group discriminant function analysis based on samples grouped by its membership to mitochondrial lineages (colors as in C). For the acronyms, see Materials and Methods section.
FIGURE 1. a in Geographic variation in quantitative skull traits and systematic of southern populations of the leaf-eared mice of the Phyllotis xanthopygus complex (Cricetidae, Phyllotini) in southern South America
FIGURE 1. a) Map of southern South America indicating the placement of the collection localities of the specimens of Phyllotis studied in this work (see Appendix 1 for a detail); type localities of nominal forms discussed in the text were indicated by red stars. b) Geographical groups recognized in this study; different colors correspond to the mitochondrial lineages documented by Riverón (2011) as follow: light green = bona (P. bonariensis); dark green = central Argentina; orange = northcentral Argentina; blue = west-central Argentina; red = southern Argentina and Chile. For the acronyms, see Materials and Methods section. Specimens from busw correspond to P. bonariensis, while the remaining samples could be referred to the current concept of P. xanthopygus; individuals from coce, menw, mese, meso, mesw, nqne, nqnw and slno are usually included under P. x. vaccarum, while those of chnc, chwe, chce, chse, chsw, chsc, nqso, rnce, rnsc, scne, scwc, and scnw are traditionally assigned to P. x. xanthopygus.
FIGURE 8 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 8. The occlusal view of the upper and lower molar rows of Nectomys saturatus paratype BMNH 3.1.8.3. The bar represents 2 mm.
FIGURE 7 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 7. The skull of Nectomys saturatus. Dorsal, ventral, and lateral views of the skull and lateral view of the mandible N. saturatus holotype BMNH 97.11.7.40. Courtesy of the Trustees of the Natural History Museum, London. The bar represents 10 mm.
FIGURE 3 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 3. Bar chart showing the frequency of the characters states of the six informative morphological traits. In the x axes are the species and in the y axes are the absolute frequency of characters states. Each chart (a–f) represents one character where the numbers represent the character states. A, size of mystacial vibrissae; 1, mystacial vibrissae reaches the base of the ear; 2, mystacial vibrissae surpass the base of the ear, but do not reach the top of pinnae; 3, mystacial vibrissae surpass the pinnae top. B, color of ungual tufts; 1, ungual tufts dark brown; 2, ungual tufts dark colored in the base and white in the top; 3, ungual tufts white. C, presence and size of hypothenar pad of pes; 1, hypothenar pad present, small and fleshy; 2, hypothenar pad of pes absent; 3, hypothenar pad of pes small, not fleshy. D, color of ventral keel of hair on ventral surface of the tail; 1, keel dark brown-haired; 2, keel white-haired; 3, keel white-haired at a half to two-thirds apical part of the tail; 4, keel white-haired at a quarter to one-third apical part of the tail; 5, keel entire mixed with dark brown and white hairs; 6, keel mixed with dark brown and white hairs at one-third apical part. E, shape of interorbital region; 1, interorbital region strongly convergent posteroanteriorly; 2, interorbital region with supraorbital margin tending to be parallel. F, presence of paralophule on M1; 1, paralophule absent; 2, paralophule present.
FIGURE 5 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 5. Upper molars. Occlusal view of upper molars showing the presence of paralophule at M1 of Nectomys saturatus (BMNH 3.1.8.3, arrow in the left panel), and the absence of this character in N. rattus (NMW B471, right panel). The bars represent 5 mm.
FIGURE 2 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 2. Scatter plot of the individual scores obtained from the first two discriminant functions of Discriminant Analysis: axis x, first discriminant function (DF1) represents 52.3% of variance; axis y, second discriminant function (DF2) represents 26.1% of variation.
FIGURE 1 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 1. Location of Nectomys specimens employed in this study. Countries acronyms: ARG, Argentina; BRA, Brazil; COL, Colombia; ECU, Ecuador; FGU, French Guiana; GUY, Guyana; PER, Peru; SUR, Suriname; TRI, Trinidad and Tobago; VEN, Venezuela.
FIGURE 4 in The taxonomic status of Nectomys saturatus Thomas, 1897 (Cricetidae: Sigmodontinae)
FIGURE 4. Interorbital region. Dorsal view of the skull showing the different shapes of interorbital region. Upper panel, interorbital region strongly convergent, Nectomys apicalis (AMNH 71909). Lower panel, interorbital with supraorbital margins almost parallel sided, N. saturatus (BMNH 3.1.8.3). The bars represent 5 mm.
FIGURE 5 in Ontogenetic And Sexual Variation In Cranial Characters Of Aegialomys Xanthaeolus (Thomas, 1894) (Cricetidae: Sigmodontinae) From Ecuador And Peru
FIGURE 5: Scores of principal component analysis based on the values of 19 variables and designed in the first and second principal component, showing sexual differentiation.
FIGURE 4 in Ontogenetic And Sexual Variation In Cranial Characters Of Aegialomys Xanthaeolus (Thomas, 1894) (Cricetidae: Sigmodontinae) From Ecuador And Peru
FIGURE 4: Scores of principal component analysis based on the values of 19 variables and designed in the first and second principal component, showing differentiation among age classes.
FIGURE 6 in Ontogenetic And Sexual Variation In Cranial Characters Of Aegialomys Xanthaeolus (Thomas, 1894) (Cricetidae: Sigmodontinae) From Ecuador And Peru
FIGURE 6: Scores based on the values of the first nine principal components and designed in the first and second canonical discriminant function.
FIGURE 1 in Ontogenetic And Sexual Variation In Cranial Characters Of Aegialomys Xanthaeolus (Thomas, 1894) (Cricetidae: Sigmodontinae) From Ecuador And Peru
FIGURE 1: Known collection localities of Aegialomys xanthaeolus in South America. The area delimited by a square is detailed in Figure 2. See gazetteer (Appendix B), where numbers are associated with collection localitites.
FIGURA 4 in ABRAWAYAOMYS RUSCHII Cunha & Cruz, 1979 (Rodentia, Cricetidae) no Estado do Rio de Janeiro, Brasil
FIGURA 4: Localidades conhecidas de Abrawayaomys ruschii e suas ecorregiões (Olson et al., 2001). (1) Reserva Biológica de Forno Grande, Castelo, Estado do Espírito Santo (20°30'S 41°06'W), Floresta Costeira da Bahia; (2) Parque Estadual do Rio Doce, Marliéria, Estado de Minas Gerais (19°30'S 42°31'W), Floresta do Interior da Bahia; (3) Aldeia Sapucai – Terra Indígena de Bracuí, Angra dos Reis, Estado do Rio de Janeiro (22°53'S 44°23'W), Floresta Costeira da Serra do Mar, e (4) El Dorado, Misiones, no limite da Argentina com o Brasil no Estado do Paraná (27°00'S 54°30'W), Floresta do Interior Paraná/Paraíba.
FIGURA 2 in ABRAWAYAOMYS RUSCHII Cunha & Cruz, 1979 (Rodentia, Cricetidae) no Estado do Rio de Janeiro, Brasil
FIGURA 2: Vistas dorsal (A), ventral (B) e lateral (C) do crânio do espécime MN 67557. Barra corresponde a 5 mm.
Figure 4 in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
Figure 4: Scatter diagrams based on a simple linear model (fluctuating asymmetry vs. vegetation cover), for four anatomical structures of Rhipidomys mastacalis three vegetation classes in Northeastern Brazil. The trend line is shown in black; the gray area represents the 95 % of confidence intervals.
Figure 1 in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
Figure 1: Map of Northeastern Brazil, showing the geographical location of the Rhipidomys mastacalis samples selected for this study.
Figure 3 in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
Figure 3: Box plot comparing the fluctuating asymmetry (FA) in Rhipidomys mastacalis from three vegetation classes in Northeastern Brazil. (A) Skulls, (B) mandibles, (C) scapulae,and (D) pelvis. The horizontal lines outside the boxes represent the smallest and largest variance for each population, and the horizontal line inside each box represents the mean value.
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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.