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21 results for “craniometrics”
Fig. 1 in Patterns Of Craniometric Variability Of Six Common Species Of Shrews (Soricidae: Crocidura, Neomys, Sorex)
Fig. 1. Geographical origin of the materials examined. Dashed lines denote putative borders between eastern and western clades in the species of genus Crocidura, established on
Fig. 3 in Patterns Of Craniometric Variability Of Six Common Species Of Shrews (Soricidae: Crocidura, Neomys, Sorex)
Fig. 3. Crocidura: results of PCA and model-based clustering. a: Specimen scores for the first two Principal Components. Ellipses
Figure 5 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 5. Genetic clustering based on allele frequencies of 12 microsatellite loci genotyped for Rattus rattus Complex samples from MSEA and extralimital distribution in Indonesia (IDN). (A) PCoA, (B) STRUCTURE barplot.
Figure 4. Haplotype network for Rattus rattus Complex II in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 4. Haplotype network for Rattus rattus Complex II. The Nusa Tenggara samples are illustrated on the right of the network.
Figure 1 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 1. Cranial measurements taken for each specimen: supraoccipital height (BH), basal length (BLL), basilar length (BRL), length of the bullae (BULL), condylobasal length (CBL), condylobasilar length (CBRL), minimum corpus length (CL), length of the diastema (DA), foramen magnum height (FMH), foramen magnum width (FMW), length of the incisive foramina (FOR), length of the face (GES), length of the braincase (HKL), thickness of the incisor (ID), interorbital breadth (IOB), mandibular diastema length (LAL), thickness lower incisor (LID), mandibular alveoli length (MAL), mandibular toothrow length (crown) (MCL),mandibular depth (MD), maximum mandibular height (MDL), mandibular depth at M1 (MID), mandibular length (ML), nasal length (NAS), nasal breadth (NASB), occipital breadth (OCB), occipital length (OCN), supraoccipital width at the occipital condyles (OCW), length of the upper molar row (alveoli) (OZRA), length of the upper molar row (crown) (OZRK), palatal length (PL), palatine breadth (PRL), rostral breadth (RB), rostral height (RH), breadth of braincase (SKB), height of braincase with bullae (SKH), zygomatic plate (ZP), zygomatic breadth (ZYG).
Figure 3. Haplotype networks for Rattus exulans, R in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 3. Haplotype networks for Rattus exulans, R. argentiventer, and Rattus rattus Complex LIV. Sunda refers to the islands of Borneo, Java, and Sumatra; the Indonesian sample (brown) lacks further collection information.
Figure 6 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 6. Summary of likely movements of the three commensal rodents through the Nusa Tenggara island chain. Rat illustrations redrawn and adapted from R. Budden, location of RS3 Dong Song drums from Calo (2014).
Analysis of Data Consistency of Howells' Craniometric Data Sets
<p>Derived data and R scripts for analyzing the data consistency of Howells' craniometric data sets.</p>
Figure 2 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 2. Sampling locations for skulls included in the craniometric analysis.
Mexican, Guatemalan, and Migrant Craniometric Dataset
<p>This dataset includes craniometric from unidentified and positively identified migrants from the Pima County Office of the Medical Examiner (PCOME) in Arizona, Operation Identification (OpID) within the Forensic Anthropology Center at Texas State, and documented Mexican data from Autonomous University of Yucatan (UADY). </p> <p> </p>
Lophuromys stanley: is member of the L. flavopunctatus species complex and was named during partial revision of the L. aguilus species complex. It is characterized by craniometric and genetic character-istics; its skull proportions are similar to L. laticeps, and molecularly, it is similar to L. margarettae and L. zena (cytochrome-b). Lophuromys stanleyi is one of four endemic species in the Rwenzori Mountains diversity hotspot. Monotypic. Distribution. Rwenzori Mts, E DR Congo and SW Uganda. Descriptive notes. Head-body 113-126 mm, tail 40-80 mm, ear 16-19 mm, hindfoot 22-24 mm; weight 36-55 g. The Rwenzori Brush-furred Rat has a speckled pelage similar to other speciesin the L. flavopunctatus species complex. Tail is short, 50-60% of head-body length. Habitat. Poorly known, but type specimen was collected at an elevation of 3700 m. Food and Feeding. No information. Breeding. No information. Activity patterns. No information. in Muridae
Lophuromys stanley: is member of the L. flavopunctatus species complex and was named during partial revision of the L. aguilus species complex. It is characterized by craniometric and genetic character-istics; its skull proportions are similar to L. laticeps, and molecularly, it is similar to L. margarettae and L. zena (cytochrome-b). Lophuromys stanleyi is one of four endemic species in the Rwenzori Mountains diversity hotspot. Monotypic. Distribution. Rwenzori Mts, E DR Congo and SW Uganda. Descriptive notes. Head-body 113-126 mm, tail 40-80 mm, ear 16-19 mm, hindfoot 22-24 mm; weight 36-55 g. The Rwenzori Brush-furred Rat has a speckled pelage similar to other speciesin the L. flavopunctatus species complex. Tail is short, 50-60% of head-body length. Habitat. Poorly known, but type specimen was collected at an elevation of 3700 m. Food and Feeding. No information. Breeding. No information. Activity patterns. No information.
Precipitation and vegetation shape patterns of genomic and craniometric variation in the Central African rodent Praomys misonnei
<p><span><span>Predicting species capacity to respond to climate change is an essential first step in developing effective conservation strategies. However, conservation prioritization schemes rarely take evolutionary potential into account. Ecotones provide important opportunities for diversifying selection and may thus constitute important reservoirs of standing variation, increasing the capacity for future adaptation. Here we map patterns of environmentally-associated genomic and craniometric variation in the central African rodent <i>Praomys misonnei</i> to identify areas with the greatest turnover in genomic composition. We also project patterns of environmentally-associated genomic variation under future climate change scenarios to determine where populations may be under the greatest pressure to adapt. While precipitation gradients influence both genomic and craniometric variation, craniometric variation is also affected by changes in vegetation structure. Areas of elevated environmentally-associated genomic and craniometric variation overlap with zones of rapid ecological transition underlining their importance as reservoirs of evolutionary potential. We find that populations in the Sanaga river basin, central Cameroon and coastal Gabon are likely to be under the greatest pressure from climate change. Lastly, we make specific conservation recommendations on how to protect zones of high evolutionary potential and identify areas where populations will be the most susceptible to climate change. </span></span></p>
Figure 6 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 6. Canonical analysis comparing operational taxonomic units from Central (left and right bank of Congo River, Democratic Republic of Congo) and East Africa links specimens from Faradje (near type locality of Cricetomys emini) to C. emini and those from Rwanda (near type locality Cricetomys kivuensis) to Cricetomys ansorgei. Below the graph are the various character loadings on roots 1 and 2.
Figure 5. A in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 5. A, canonical analysis comparing all six operational taxonomic units (OTUs). Plotted are skulls that were also sequenced in the molecular analysis (labelled 'g' for Cricetomys gambianus, 'a' for Cricetomys ansorgei, 'e' for Cricetomys emini, '2' for Cricetomys sp. 2, and '3' for Cricetomys sp. 3). Below the graph are the various character loadings on roots 1 and 2. B, tree diagram showing clustering patterns of all six OTUs from this study based on craniometric data.
Figure 4 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 4. Canonical analysis comparing Cricetomys gambianus, Cricetomys sp. 1, and Cricetomys ansorgei. Below the graph are the various character loadings on roots 1 and 2.
Figure 2 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 2. Bayesian tree (consensus of two runs, 5 000 000 generations each) based on 735-bp-long Cricetomys cytochrome b sequences. Besides a posteriori support values obtained by MrBayes, bootstrap support obtained for maximum likelihood (100 replications) and maximum parsimony (500 replications) are shown.
Figure 3. A in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 3. A, geographical distribution of sampling localities for the mitochondrial phylogeny resolved in this study in relation to currently recognized type localities of Cricetomys. Colours correspond to those in Figure 2: red for Cricetomys gambianus, dark blue for Cricetomys sp. 1, light blue for Cricetomys sp. 3, green for Cricetomys emini, yellow for Cricetomys sp. 2, and pink for Cricetomys ansorgei. Stars represent various type localities. Numbers represent localities from which sequences were obtained (listed in Table S1). The dotted circles represent sequences from GenBank, for which information on the geographical origin of these sequences is uncertain, except for the country they came from. B, geographical distribution of sampling localities for the craniometric analysis in this study in relation to currently recognized type localities of Cricetomys. Colour codes are as above. Numbers represent localities from which skulls were obtained (listed in Table S2).
Figure 1 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 1. Approximate distribution patterns of various Cricetomys species named in A, Genest-Villard (1967) and B, Musser & Carleton (2005). The darker shade of grey in the map represents the Guineo-Congolian forest block whereas the lighter grey portion represents the distribution of the savannahs.
Precipitation and vegetation shape patterns of genomic and craniometric variation in the Central African rodent Praomys misonnei
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Puerto Rican CT Craniometric Known Data
<p>Puerto Rican craniometric data collected from brain CT scans of known individuals.</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.