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4,059 results for “mammal”
Figure 2 in Habitat selection by small mammals in Brazilian Pampas biome
Figure 2. Canonical correspondence analysis (CCA) graph comparing the environmental characteristics matrix and small-mammal abundance matrix of the Taim Ecological Station (TES), Pampas biome, southern Brazil. Arrows correspond to environmental variables: percentages of herbaceous plants, grasses and rushes, number of shrubs and terrestrial bromeliads, vegetation layers, invertebrate biomass and abundance, distance from water, presence of cattle; triangles correspond to the species: Akodon azarae, Akodon reigi, Oligoryzomys flavescens, Oligoryzomys nigripes and Scapteromys tumidus. Some highly correlated variables (number of seedlings, canopy height and number of trees correlated with vegetation layers, and number of invertebrate orders correlated with invertebrate abundance) have been omitted in order to simplify the presentation.
Figure 1 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 1. Map of the state of Espírito Santo, Brazil, showing the distribution of fragments sampled in Santa Teresa region (SF, small-sized fragments; MF, medium-sized fragments; LF, large-sized fragments).
Figure 3 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 3. Dendrogram based on a cluster analysis of abundance patterns of 19 species of small mammals sampled in eight study areas. Grouping method WPGMA and similarity index of morisita.
Figure 2 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 2. Number of species and individuals in one large (three sampling grids), two mediumsized and three small fragments.
Figure 5 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 5. Histogram showing the frequency of 1000 randomly generated simulations, based on the actual matrix data for small mammals from savannah fragments of different sizes. In the simulations, groups of species were allowed to occur randomly in each fragment, generating a normal distribution. Notes: Arrow indicates the degree of nestedness observed for the actual data which was significanty higher than expected by chance (p = 0.023); NODF was the metric used for nestedness analysis (Guimarães and Guimarães 2006; Almeida-Neto et al. 2008).
Figure 2 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 2. (A) Estimated number of trees (<20 cm diameter breast height) and number of shrubs; (B) canopy cover and canopy height in five fragments of woodland savannah in southwestern Brazil. Notes: Black squares, trees; open triangles, shrubs; open squares, canopy cover; black triangles, canopy height; numbers in parentheses are related to smaller and larger remnant units respectively for a given size category.
Figure 4 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 4. Diagram showing non-metric multidimensional scaling analysis (Bray-Curtis distance measure) results for composition and abundance of small mammals recorded in woodland fragments and gallery forests of south-western Brazil.
Figure 1 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 1. View of the study region in Dois Irmãos do Buriti and Terenos municipalities, state of Mato Grosso do Sul, south-western Brazil, showing the woodland savannah fragments studied and gallery forest along rivers and creeks (Cachoeirão River, crossing the landscape from right to left). Source: Embrapa Monitoramento por Satélite, Brazil.
Figure 3 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 3. Species richness and abundance variation of small mammals in fragments of different sizes in a woodland savannah region of south-western Brazil. Notes: Points are mean values; bars are maximum and minimum amplitudes for the size category; all species with at least 18 individuals sampled are shown; species of M. domestica, T. macrurus, C. callidus, and T. pachyurus had significantly different abundances (G> 17; p <0.01) among fragments, but only G. agilis (r = –0.90), M. domestica (r = 0.87), and T. pachyurus (r = 1.00) were significantly correlated with fragment size (p ≤ 0.05).
Experimental evidence for ecological cascades following threatened mammal reintroduction: Arachnids at Scotia Sanctuary, NSW, Australia
<p>Please see the abstract from the Ecology paper: Gibb, Heloise, Silvey, C.J., Robinson, C., L'Hotellier, F.A. & Eldridge, D.J. (accepted August 2020) Experimental evidence for ecological cascades following threatened mammal reintroduction.</p> <p>This dataset includes: foraging pits, scorpion burrows and spider abundances from mensurative, exclusion and disturbance experiments at Scotia Sanctuary.</p>
FIGURE 7 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 7. Dorsal (a) and ventral (b) views of the skull and lateral views of the skull (c) and mandible (d) of FMNH 114259.
FIGURE 6 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 6. Lateral outlines of the skulls (from top to bottom) of Myotis sp. (MCZ 32977) from Nepal; M. mystacinus (HZM 25.35972) from Shan State, Myanmar; M. siligorensis (HZM 11.36227) from Meghalaya, India; M. csorbai (HNHM 97.2.4) from 4 km. E. of Syangja, Nepal; and M. muricola (HZM 18.31749) from Pu Mat Reserve, Vietnam.
FIGURE 4 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 4. Lateral (l) and ventral (v) X-ray images of the skull and mandible of MCZ 32977 (Myotis sp.).
FIGURE 80. Pneumocoptes penrosei Baker, 1951, female. A in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 80. Pneumocoptes penrosei Baker, 1951, female. A, dorsal view; B, ventral view; C, gnathosoma in ventral view; D, chelicera in lateral view. Scale bars: 100 µm (A, B), 50 µm (C, B).
FIGURE 68 in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 68. Yunkeracarus faini Hyland et Clark, 1959, female from Peromyscus leucopus (A–K). A, dorsal view; B, ventral view; C, tarsus I in dorsal view; D, same in ventral view; E, tarsus II in dorsal view; F, same in ventral view; H, tarsus III in ventral view; G, tarsus IV in ventral view; I, seta cGI; J, seta cGII; K, posterior projection of coxal field I. Male (L–O). L, seta cGI; M, seta cGII; N, opisthosoma in ventral view; O, aedeagus. Scale bars: 100 µm (A, B, N), 50 µm (C–M, O).
FIGURE 74. Mortelmansia longus Fain, 1959, female legs. A, tarsus I in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 74. Mortelmansia longus Fain, 1959, female legs. A, tarsus I in dorsal view; B, leg I in ventral view; C, tarsus II in dorsal view; D, leg II in ventral view; E, leg III in ventral view; F, tarsus III in dorsal view; G, tibia and tarsus IV in ventral view; H, tarsus IV in dorsal view.
FIGURE 65. Yunkeracarus ascanicus Zabludovskaya, 1989, female. A in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 65. Yunkeracarus ascanicus Zabludovskaya, 1989, female. A, dorsal view; B, ventral view; C, sternum; D, tarsus I in dorsal view; E, tarsus I in ventral view; F, tarsus III in ventral view; G, tarsus IV in ventral view. Scale bars: 100 µm (A, B), 50 µm (C–G).
FIGURE 84. Pneumocoptes tiollaisi Doby, 1963 in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 84. Pneumocoptes tiollaisi Doby, 1963, male (A–C). A, dorsal view; B, ventral view; C, aedeagus. Scale bars: 100 µm (A, B), 25 µm (C).
FIGURE 60 in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 60. Yunkeracarus lophuromys Bochkov et OConnor sp. nov., protonymph. A, ventral view; B, leg I in ventral view; C, tarsus I in dorsal view; D, tarsus and tibia III in ventral view; E, tarsus IV in ventral view. Scale bars: 100 µm (A), 50 µm (B–E).
FIGURE 59 in Phylogeny and systematics of the endoparasitic astigmatid mites (Acari: Sarcoptiformes) of mammals: families Gastronyssidae, Lemurnyssidae, and Pneumocoptidae
FIGURE 59. Yunkeracarus lophuromys Bochkov et OConnor sp. nov., larva. A, dorsal view; B, ventral view; C, leg I in dorsal view; D, tarsus I in ventral view; E, leg III in dorsal view; F, tarsus IV in ventral view; H, tarsus and tibia III in dorsal view; G, tarsus III in ventral view. Scale bars: 100 µm (A, B), 50 µm (C–G).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.