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FIGURE 5 in Systematics and biogeography of Anoura cultrata (Mammalia, Chiroptera, Phyllostomidae): a morphometric, niche modeling, and genetic perspective, with a taxonomic reappraisal of the genus
FIGURE 5. Maps of SE Central America and NW South America showing in gray present and past abiotically suitable areas for Anoura cultrata, as predicted by ecological niche modeling analyses. Darker shades of gray indicate stronger model support. Filled circles represent records for the species. Climatic scenarios are: top left, present climatic conditions; top right, HCO, Holocene Climatic Optimum; bottom left, LGM, Last Glacial Maximum; bottom right, LIG, Last Interglacial.
FIGURE 4 in Systematics and biogeography of Anoura cultrata (Mammalia, Chiroptera, Phyllostomidae): a morphometric, niche modeling, and genetic perspective, with a taxonomic reappraisal of the genus
FIGURE 4. Relative position of six geographic groups and 122 specimens of Anoura cultrata in the space defined by a Linear Discriminant Analysis (LDA) of the 7 wing and 14 cranial measurements considered in the study. Specimen scores obtained by means of the second, third, and fourth discriminant functions (DF2, DF3, DF4) were plotted against those obtained by means of the first (DF1). The percentage of variance accounted by each of the four axes is indicated in their legends. COPA, Costa Rica–W Panama (empty triangles); EPA, E Panama (filled triangles); NVE, N Venezuela (filled diamonds); WVE, W Venezuela (empty diamonds); COEC, Colombia–Ecuador (filled circles); PEBO, Peru–Bolivia (empty squares). Eigenvalues and variable loadings are provided in Supplementary Information S1.
FIGURE 3 in Systematics and biogeography of Anoura cultrata (Mammalia, Chiroptera, Phyllostomidae): a morphometric, niche modeling, and genetic perspective, with a taxonomic reappraisal of the genus
FIGURE 3. Box-and-whisker plots comparing the wing and cranial sizes of six geographic groups of Anoura cultrata: COPA, Costa Rica–W Panama; EPA, E Panama; NVE, N Venezuela; WVE, W Venezuela; COEC, Colombia–Ecuador; and PEBO, Peru–Bolivia. The height of each gray box represents the interquartile range (IQR), containing 50% of data points. Within each box, the horizontal line represents the median, and the empty square the mean. The upper and lower 'whiskers' respectively indicate the distance from the box of the largest value within Q3 + 1.5 × IQR, and the smallest value within Q1 - 1.5 × IQR. The numbers on the top of upper 'whiskers' indicate the sample sizes. The distribution of the values on which each plot is based is shown to its left. Values above the upper 'whisker' and below the lower 'whisker' are considered outliers. Scores on the first axes (PC1) of Principal Components Analyses were used as proxies of wing (6 measurements, forearm length excluded) and cranial (13 measurements, skull length excluded) sizes. The PC1 of wing measurements accounts for 57.19 %, and the PC1 of cranial measurements for 58.36 % of variance. Eigenvalues and variable loadings for the two PCAs are provided in Supplementary Information S1.
FIGURE 1 in Systematics and biogeography of Anoura cultrata (Mammalia, Chiroptera, Phyllostomidae): a morphometric, niche modeling, and genetic perspective, with a taxonomic reappraisal of the genus
FIGURE 1. Craniodental measurements used in morphometric analyses. The dorsal, lateral, and ventral views of the cranium, and lateral view of the mandible correspond to a male specimen of Anoura cultrata (MCNG 1035) from Venezuela (Merida Cordillera). Abbreviations are: BB, breadth of braincase; BH, braincase height; CBL, condylobasal length; C–C breadth; C–M3 length; c–m3 length; GLS, greatest length of skull; LM, length of mandible; M3–M3 breadth; MB, mastoid breadth; PL, palatal length; PC, postorbital constriction; RB, rostrum breadth; and ZB, zygomatic breadth.
FIGURE 2 in Systematics and biogeography of Anoura cultrata (Mammalia, Chiroptera, Phyllostomidae): a morphometric, niche modeling, and genetic perspective, with a taxonomic reappraisal of the genus
FIGURE 2. Mountain systems of SE Central America and NW South America in which Anoura cultrata has been recorded (filled circles). Elevations above 500 m are indicated in light grey. Elevations above 2,000 m are indicated in dark grey. Abbreviations for mountain systems are: CC, Venezuelan Coast Range [Cordillera de la Costa]; CCE, Colombian Central Cordillera [Cordillera Central de Colombia]; CM, Merida Cordillera [Cordillera de Mérida]; COC, Colombian Western Cordillera [Cordillera Occidental de Colombia]; COR, Colombian Eastern Cordillera [Cordillera Oriental de Colombia]; CP, Putumayo corridor [Corredor de Putumayo]; CVF, Chorotega Volcanic Front [Frente Volcánico de Chorotega]; DAH, Darien Highlands [montañas del Darién]; GH, Guiana Highlands [Macizo (or Escudo) Guayanés]; MT, Turimiquire Massif [Macizo de Turimiquire]; PA, Azuero Peninsula Highlands [montañas de la Península de Azuero]; SB, Baudo Mountains [Serranía del Baudó]; SNSM, Santa Marta Mountain Range [Sierra Nevada de Santa Marta]; SP, Perija Mountain Range [Serranía (or Sierra) de Perijá]. Abbreviations for depressions [highlighted in bold in the map] separating mountain systems are: C, Cauca Valley [Valle del Cauca]; CPL, Central Panamanian Lowlands [Tierras Bajas Centrales de Panamá]; DASJ, Atrato–San Juan Depression [Depresión del Atrato–San Juan]; DH, Huancabamba Depression [Depresión de Huancabamba]; DL, Lara Depression [Depresión de Lara]; DN, Nicaragua Depression [Depresión de Nicaragua]; DT, Tachira Depression [Depresión del Táchira]; DU, Unare Depression [Depresión de Unare]; DY, Yaracuy Depression [Depresión de Yaracuy]; M, Magdalena Valley [Valle del Magdalena]; PA, Andalucia pass [Paso de Andalucía]; VSP, Suaza-Pescado valleys [Valles de Suaza-Pescado].
Data from: Ecological niche modeling as a tool for prediction of the potential geographic distribution of Bacillus anthracis spores in Tanzania
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Data from: Genomic analysis of demographic history and ecological niche modeling in the endangered Sumatran Rhinoceros Dicerorhinus sumatrensis
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Data from: Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modeling
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Data from: Correlation between genetic diversity and environmental suitability: taking uncertainty from ecological niche models into account
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Genetic data improves niche model discrimination and alters the direction and magnitude of climate change forecasts
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Data from: Do ecological niche models accurately identify climatic determinants of species ranges?
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Data associated with ecological niche models and post-ENM statistical analyses for Trillium species distributions
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Data from: Phylogeography and ecological niche modelling of the desert iguana (Dipsosaurus dorsalis, Baird & Girard 1852) in the Baja California Peninsula
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Data from: Genome-wide admixture and ecological niche modeling reveal the maintenance of species boundaries despite long history of interspecific gene flow
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Data from: No silver bullets in correlative ecological niche modeling: insights from testing among many potential algorithms for niche estimation
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Temporal variability is key to modelling the climatic niche
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Data from: Phylogeography and niche modelling of the relict plant Amborella trichopoda (Amborellaceae) reveal multiple Pleistocene refugia in New Caledonia
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Worldclim 2.1 versus Worldclim 1.4: climatic niche and grid resolution affect between-version mismatches in habitat suitability models predictions across Europe
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Quantifying niche similarity among new world seed plants--Species Distribution Models (SDMs) & associated metadata
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Data from: A test of the central-marginal hypothesis using population genetics and ecological niche modelling in an endemic salamander (Ambystoma barbouri)
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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.
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DANDI Archive for NWB datasets
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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.