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193 results for “endemic hotspot”
FIGURE 6. A in A distinctive new species of moss salamander (Caudata: Plethodontidae: Nototriton) from an imperiled Honduran endemism hotspot
FIGURE 6. A. Deforestation in the core zone of RVS Texiguat, 1710 m elevation; recently planted beans in the foreground, with rapidly progressing land clearing visible on the far ridges in the highest part of the reserve; B. Recently cut mahogany logs at the end of the road accessing the vicinity of the type locality of Nototriton tomamorum; these logs were exposed the day we arrived and were partially covered up the second day our team was in the area in an attempt to conceal them. C. Recent deforestation less than 1 km upstream from the type locality of Nototriton tomamorum and the endemic treefrog Isthmohyla insolita; two of our co-workers are pictured in the lower-central portion of the photograph for scale.
FIGURE 4 in A distinctive new species of moss salamander (Caudata: Plethodontidae: Nototriton) from an imperiled Honduran endemism hotspot
FIGURE 4. Bayesian phylogram based on combined dataset of cob and 16S, showing phylogenetic hypothesis for Nototriton and placement of N. tomamorum (bold) as a weakly support sister taxon to the N. barbouri group. Bayesian posterior probability values shown above and maximum likelihood bootstrap support values shown below branches; bootstrap values less than 50% are not shown.
FIGURE 13 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 13. Dendogram based on Bray-Curtis similarity for the South African sponge fauna of 35 coastal sections based on the predicted dataset.
FIGURE 7 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 7. Comparison between regional species diversity (total number of species collected in each region = predicted data; = actual data), endemism (number of unique species in each region) and effort with regions arbitrary sorted on increasing species diversity.
FIGURE 14 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 14. Two-dimensional ordination plot based on the predictive species composition of the 35 coastal sections.
FIGURE 4 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 4. Species accumulation curve for the coastal sections around South Africa as delineated in Fig. 1.
FIGURE 10 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 10. Comparison between regional species diversity patterns of total number of species collected (actual) in each region vs. predictive species pattern in each region (results of ANOVA between the two datasets for species diversity is p=0.01). The results indicated that there was a significant difference between the two datasets (P <0.05) for species richness, and therefore indicate that the true species patterns are what are reflected by the interpolated (or predicted) dataset.
FIGURE 12 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 12. Two-dimensional ordination plot based on the actual species composition of the 35 coastal sections. Datapoint 1 (sector 1) was deleted and reanalyzed to better represent the patterns within the main cluster group.
FIGURE 2 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 2. Summary diagramme indicating South African marine biogeographic provinces as previously outlined by a) Stephenson and Stephenson (1972); b) Brown and Jarman (1978); c) Emanuel et al., (1992); d) Branch and Branch (1981), Field and Griffiths (1991); e) Prochazka (1994); f) Turpie et al., (2000); g) Day et al., (1981); h) Whitfield (1994).
FIGURE 1 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 1. Map of South Africa showing the 35 sectors used as a method of geographical comparison (adapted from Millard, 1978 and Williams, 1992).
FIGURE 6 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 6. Regression analysis comparing (log) number of endemics species and predicted species richness for 35 coastal sections
FIGURE 11 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 11. Dendogram based on Bray-Curtis similarity for the South African sponge fauna of 35 coastal section based on the actual dataset.
FIGURE 9 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 9. Distribution of sponge species richness and endemicity based on the predictive dataset around South Africa on the coastal units shown in Fig. 1.
FIGURE 3 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 3. Distribution of sponge species richness and endemicity based on the actual dataset around South Africa on the coastal units shown in Fig. 1.
FIGURE 5 in Biodiversity " hotspots ", patterns of richness and endemism, and distribution of marine sponges in South Africa based on actual and interpolation data: A comparative approach
FIGURE 5. Regression analysis comparing (log) number of endemics species and actual species richness for 35 coastal sections.
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.
FIGURE 80 in A hotspot of endemism: Oreophytic Taraxacum species (Compositae, Crepidinae) in the mountains of Bulgaria
FIGURE 80. Taraxacum erzincanense. The holotype, and a detail of the bottom right plant of the holotype sheet (HBG, no. det. 34808).
FIGURE 7 in A hotspot of endemism: Oreophytic Taraxacum species (Compositae, Crepidinae) in the mountains of Bulgaria
FIGURE 7. Achenes of the Bulgarian members of Taraxacum sect. Rhodocarpa. A, T. recognitum (PRA, no. det. 27342, holotype); B, T. pseudorecognitum (PRA, no. det. 35755, isotype). Scale bars = 1 mm.
FIGURE 60 in A hotspot of endemism: Oreophytic Taraxacum species (Compositae, Crepidinae) in the mountains of Bulgaria
FIGURE 60. Achenes of the Bulgarian members of Taraxacum sect. Rhodocarpa. A, T. musteum (PRA, no. det. 35757, holotype); B, T. fragile (PRA, no. det. 36076, isotype); C, T. hamosius (PRA, no. det. 23898); D, T. serenum (PRA, no. det. 26113, isotype). Scale bars = 1 mm.
FIGURE 59 in A hotspot of endemism: Oreophytic Taraxacum species (Compositae, Crepidinae) in the mountains of Bulgaria
FIGURE 59. Taraxacum hamosius. Achenes (from left to right: JŠ 4824, JŠ 6907, JŠ 7567). Scale bar = 1 mm.
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.