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4,059 results for “mammal”
FIG. 55 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 55. Anterior part of skull of?Insectivora, uncertain, IVPP V7442: A. ventral, B. dorsal, and C. right lateral views.
FIG. 56 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 56. Majority rule consensus tree (cut-off = 50, tree length = 983, consistency index = 0.389, retention index = 0.461 from 35 equally parsimonious trees discovered by TNT (New Technology search using Sectorial Search, Ratchet, and Tree fusing, setting Find minimum length at 1000 times) (Goloboff and Catalando, 2016).
FIG. 52 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 52. Naranius hengdongensis sp. n., IVPP V7439, stereophotograph of left ear region in ventral view.
FIG. 24 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 24. Drawing of Hsiangolestes youngi skull: A. dorsal, B. ventral, and C. lateral views (based on IVPP V5792 with reference of others).
FIG. 18 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 18. Anterior part of skull of Hsiangolestes youngi, IVPP V5802: A. left lateral and B. right lateral views.
FIG. 9 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 9. Anterior part of skull of Hsiangolestes youngi, IVPP V5794: A. stereophotographs in front view; and B. photo in lateral view.
FIG. 4 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 4. Dental measurements: A. upper molar; B. lower molar. Abbreviations: llt, length of lower teeth; lut, length of upper teeth; wlt, width of lower teeth; wut, width of upper teeth.
FIG. 16 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 16. Anterior part of skull of Hsiangolestes youngi, IVPP V5081: A. right lateral and B. left lateral views.
FIG. 2 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 2. Photo of the Tianzhifen-near Jixianwan Section, showing the strata of Limuping Formation (Late Paleocene, Gashatan ALMA) and Lingcha Formation (Early Eocene, Bumbanian ALMA).
FIG. 7 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 7. Hsiangolestes youngi skulls in dorsal (A, C, E, G, I) and ventral views (B, D, F, H, J), showing size variation. IVPP V5800 (A, B), V5797 (C, D), V5792 (E, F), V7454 (G, H), V5346 (I, J).
FIG. 8 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 8. Hsiangolestes youngi lower jaws in lateral view, showing size variation. A. IVPP V7435, B. V5793, C. V5794, D. V5795, E. V5801.
FIG. 6 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 6. Dental nomenclature: A. upper molar; B. lower molar. Abbreviations: ccr, centrocrista; cn, carnassial notch; crdo, cristid obliqua; ec, ectocingulum; ef, ectoflexus; encd, entoconid; encrd, entocristid; hc, hypocone; hcd, hypoconid; hcld, hypoconulid; hfd, hypoflexid; hc sh, hypoconal shelf; mc, metacone; mcd, metaconid; mcl, metaconule; mcr, metacrista; mst, metastyle; pc, paracone; pcd, paraconid; pcl, paraconule; pcr, paracrista; pcrd, paracristid; pomcl cr, postmetaconule crest; popcl cr, postparaconule crest; popr cr, postprotocrista; poprd, postcristid; prcd, protoconid; preci, precingulum; precid, precingulid; prcrd, protocristid; premcl cr, premetaconule crest; prepcl cr, preparaconule crest; prepr cr, preprotocrista; prcrdn, protocristid notch; proc, protocone; pst, parastyle; tad b, talonid basin; trd b, trigonid basin; tr b, trigon basin.
FIG. 1 in Cranial And Postcranial Morphology Of The Insectivoran-Grade Mammals Hsiangolestes And Naranius (Mammalia, Eutheria) With Analyses Of Their Phylogenetic Relationships
FIG. 1. Geological sketch map of fossil sites near Hengdong County, Hengyang Basin, Hunan Province, China. At top is a map of central Asia, showing the location of Hengyang Basin (modified from Ting et al., 2003).
Eurasian beaver – A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter - dataset
<p>Dataset to paper of Fedyń, I., Przepióra, F., Sobociński, W., Wyka, J., & Ciach, M. (2022). Eurasian beaver–A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter. <em>Science of The Total Environment</em>, <em>831</em>, 154919 (<a href="https://doi.org/10.1016/j.scitotenv.2022.154919">https://doi.org/10.1016/j.scitotenv.2022.154919</a>).</p>
Fig. 1 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 1. Camera-trap image of mainland serow (Capricornis sumatraensis) from the lowlands of the Pasoh Forest Reserve in Peninsular Malaysia at an elevation of ~100 m.
Fig. 4 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 4. Regional-scale relationships between serow captures and covariates. Displayed are the variables within the top-performing multivariate model as assessed by lower AICc scores. All covariates are averaged at a 20-km radius around the study area.
Fig. 5 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 5. The relationships between serow predicted abundance and habitat variables at the local scale from Royle-Nichols hierarchical models. Oil palm, roughness and Human Footprint Index were in the top performing multivariate model.
Fig. 3 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 3. Presence of the serow within its Southeast Asian range. Panel a) shows the IUCN Red List range extent of occurrence (EOO; shaded orange), and the occurrence records coloured by the data source. Panel b) shows the jackknife-based assessment of variable importance. The blue bars showing the explanatory power in the model using only the denoted variable, while the teal bars show the predictive power of the full model without the denoted variable, highlighting whether the variable captures unique information. Panel c) shows the probability of presence of the serow from Maxent modelling mapped within the Southeast Asian region covered by this study. Panel d) shows the forest cover in 2015 that is potentially occupied within the EOO. Panel e) is the Maxent probability of presence of serow inside the remaining forested areas within Southeast Asia. Original artwork courtesy of Tamzin Barber (https://www.talkinganimals.com.au/).
Mammal Trophic Diversity Data and Analysis Code
<p>A global scale dataset of terrestrial mammal species richness within three trophic groupings. Trophic groups are predators, herbivores, and omnivores. Spatial resolution is 30 x 30 km. Variable descriptions are as follows: FID_1: An identifier variable. y_coord: Latitudinal value. mamm_h_20: The number of herbivore species present in the pixel. mamm_o_20: The number of omnivore species present in the pixel. mamm_p_20: The number of predator species present in the pixel. total_20: The total number of mammals present in the pixel. p_herb_20: The proportion of total species in the pixel that are herbivores. p_omni_20: The proportion of total species in the pixel that are omnivores. p_pred_20: The proportion of total species in the pixel that are predators. GPP: Gross Primary Production of the pixel; extracted from doi 10.1038/sdata.2017.165. mean_temp: The mean annual temperature of the pixel in celsius; extracted from WorldClim v.2. mean_precip: The mean annual precipitation of the pixel in centimeters; extracted from WorldClim v.2. temp_season: The temperature seasonality of the pixel as standard deviation multiplied by 100. precip_season: The precipitation seasonality of the pixel as the coefficient of variation. iso: The isothermality of the pixel as diurnal temperature range divided by annual temperature range. A text file of the code used to analyze data in the R Statistical computing environment is also included.</p>
Data from: Environmental variables influence patterns of mammal co-occurrence following introduced predator control
<p>Co-occurring species often overlap in resource use and can interact in complex ways. However, shifts in environmental conditions or resource availability can lead to changes in patterns of species co-occurrence, which may be exacerbated by global escalation of human disturbances to ecosystems, including conservation directed alterations. We investigated the relative abundance and co-occurrence of two naturally sympatric mammal species following two forms of environmental disturbance: wildfire and introduced predator control. Using 14 years of abundance data from repeat surveys at long-term monitoring sites in south-eastern Australia, we examined the association between a marsupial, the common brushtail possum Trichosurus vulpecula, and a co-occurring native rodent, the bush rat <em>Rattus fuscipes</em>. We asked: Is the increase in abundance of common brushtail possums following control of an introduced predator associated with a decline in abundance of the bush rats?</p> <p>Using Bayesian regression models, we tested hypotheses that the abundance of each species would vary with changes in environmental and disturbance variables, and that the negative association between bush rats and common brushtail possums was stronger than the association between bush rats and disturbance. Our analyses revealed that bush rat abundance varied greatly in relation to environmental and disturbance variables, whereas common brushtail possums showed relatively limited variation in response to the same variables. There was a negative association between common brushtail possums and bush rats, but this association was weaker than the initial decline and subsequent recovery of bush rats in response to wildfires.</p> <p>Using co-occurrence analysis, we can readily infer negative relationships in abundance between co-occurring species, but to understand the impacts of such associations, and plan appropriate conservation measures, we require more information on interactions between the species and environmental variables. Co-occurrence can be a powerful and novel method to diagnose threats to communities and understand changes in ecosystem dynamics.</p>
ScienceDex guides
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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.