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Figure 7 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 7. Gammarus incoercitus sp. nov., male, A–K; female, L–N. A, epimeral plate 1; B, epimeral plate 2; C, epimeral plate 3; D, urosomites (dorsal view); E, pleopod 1; F, pleopod 2; G, pleopod 3; H, uropod 1; I, uropod 2; J, uropod 3; K, telson; L, uropod 1; M, uropod 2; N, uropod 3.
Figure 6 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 6. Gammarus incoercitus sp. nov., holotype, male. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, dactylus of pereopod 3; G, dactylus of pereopod 4; H, dactylus of pereopod 5; I, dactylus of pereopod 6; J, dactylus of pereopod 7.
Figure 27 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 27. Gammarus pisinnus sp. nov., female. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, telson; G, oostegite of gnathopod 2; H, oostegite of pereopod 3; I, oostegite of pereopod 4; J, oostegite of pereopod 5.
Figure 18 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 18. Gammarus monticellus sp. nov., holotype, male. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, dactylus of pereopod 3; G, dactylus of pereopod 4; H, dactylus of pereopod 5; I, dactylus of pereopod 6; J, dactylus of pereopod 7.
Figure 21 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 21. Gammarus monticellus sp. nov., female. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, telson; G, oostegite of gnathopod 2; H, oostegite of pereopod 3; I, oostegite of pereopod 4; J, oostegite of pereopod 5.
Figure 23 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 23. Gammarus pisinnus sp. nov., holotype, male. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 1 in Evaluating evolutionary pressures and phylogenetic signal in earthworms: a case study - the number of typhlosole lamellae in Hormogastridae (Annelida, Oligochaeta)
Figure 1. An example of the variability in body size and number of lamellae in Hormogastridae: (A) Hormogaster castillana Qiu & Bouche, 1998 (21 lamellae); (B) Hormogaster pretiosa Michaelsen, 1889 from Segariu (13 lamellae); (C) Hormogaster joseantonioi Marchan et al., 2014 (nine lamellae); (D) Hormogaster redii Rosa, 1887 (seven lamellae); (E) Hormogaster elisae Alvarez, 1977 (five lamellae); (F) Ailoscolex lacteospumosus Bouche, 1969 (three lamellae). To the right the diagrams show how the typhlosole is located in the digestive tract, with different degrees of convolution shown.
Figure 2 in Evaluating evolutionary pressures and phylogenetic signal in earthworms: a case study - the number of typhlosole lamellae in Hormogastridae (Annelida, Oligochaeta)
Figure 2. Ultrametric tree used as the phylogenetic input for the phylogenetic generalized least squares (PGLS) analysis. Number of typhlosole lamellae and average weight are shown as red and green bars for taxa with available information. The colour code for the branches show the main Hormogastridae clades (for details, see Appendix S4).
FIGURE 1. A in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 1. A Neopetrosia chaliniformis (Thiele, 1899) holotype ZMB2889, B Neopetrosia exigua (Kirkpatrick, 1901), holotype BMNH1898.12.20.49, C Xestospongia pacifica Kelly-Borges & Bergquist, holotype AM Z4999, and D Neopetrosia pandora de Laubenfels, 1954, holotype USNM4806. Scale bar= 1 cm.
FIGURE 2 in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 2. Oxea from the holotypes of A Neopetrosia chaliniformis (Thiele, 1899) ZMB2889, B Neopetrosia exigua (Kirkpatrick, 1901), BMNH1898.12.20.49, C Xestospongia pacifica Kelly-Borges & Bergquist, AMS Z4999, and D Neopetrosia pandora de Laubenfels, 1954, USNM4806. Scale bar= 50 µm
FIGURE 5. Bayesian cox2 in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 5. Bayesian cox2 phylogram of Neopetrosia spp. Numbers on the branches represent posterior probabilities (PP) / bootstrap proportions (BP) of maximum likelihood analyses. Scale bar indicates the number of substitutions per site. Bold is sequences, which are obtained from this study. Wj= Pulau Seribu, West Java, Indonesia, Indonesia Le= Lembeh, North Sulawesi, Indonesia, Ma = Makassar, South Sulawesi, Indonesia Th= Southeast Thailand, Qn= The Great Barrier Reef, Queensland, Australia, So= Solomon Islands
FIGURE 6 in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 6. Neighbor Joining phylogram of 28S rDNA sequences from Neopetrosia spp. The scale bar indicates the number of substitutions per site and dashed lines indicate connectivity between two sequence types from one individual. Bold are sequences, which are obtained from this study. Wj= Pulau Seribu, West Java, Indonesia, Le= Lembeh, North Sulawesi, Indonesia, Ma = Makassar, South Sulawesi, Indonesia Th= Southeast Thailand, Qn= The Great Barrier Reef, Queensland, Australia, So= Solomon Islands.
FIGURE 4 in Bearing the wrong identity: A case study of an Indo-Pacific common shallow water sponge of the genus Neopetrosia (Haplosclerida; Petrosiidae)
FIGURE 4. In situ photo of sponges identified as N. exigua, that were collected in (A) Northern Territory Australia, QM G303302, (B) Palau, QM G306321, (C) Tonga, QM G313297 and (D) a sponge identified as N. chaliniformis that was photographed in Probolinggo, East Java, Indonesia.
Figure 9 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 9. Wireframe visualization of allometric shape change along the least squares regression line of Procrustes coordinates on log centroid size. Grey landmarks represent the average configuration amongst all specimens, whereas black landmarks represent the approximate extreme of variation (1.2 log centroid size units) in the direction of the smallest specimens, which have proportionally larger heads and eyes.
Figure 1. Leporinus cylindriformis, MCZ 20430 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 1. Leporinus cylindriformis, MCZ 20430, holotype, 188.0 mm standard length; Brazil, Pará, Rio Xingu at Porto de Moz. Image © President and Fellows of Harvard College.
Figure 10 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 10. Wireframe visualization of variation along the allometrically corrected principal components one (PC1), two, and three from geometric morphometric analysis. Grey landmarks represent the configuration of the average specimen, black landmarks represent one approximate extreme of variation on that axis. The deformation on PC1 represents 0.07 units, that on PC2 represents 0.04 units, and that on PC3 represents 0.03 units. Percentages indicate the proportion of total variance amongst the Procrustes residuals explained by each axis.
Figure 7 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 7. Reduced major axis regression of principal component one (PC1) scores from traditional linear morphometrics on log standard length for species of Leporinus discussed in text. Trendline represents a universal regression that does not take species membership into account; tests for equivalence of slope and intercept as reported in Tables 2 and 3 estimate a separate regression line for each putative species.
Figure 12 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 12. Geographical distribution of examined specimens of Leporinus amazonicus, Leporinus apollo sp. nov., Leporinus cylindriformis, Leporinus niceforoi, Leporinus cf. niceforoi, and Leporinus sp. Some symbols represent more than one collection locality.
Figure 3 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 3. Leporinus apollo sp. nov., FMNH 116827, holotype, 111.1 mm standard length; Suriname, Saramacca, Coppename River, Sidonkrutu, sand island and channel.
Figure 8 in Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
Figure 8. Scatterplot of principal components one and two from geometric morphometric analysis without allometric correction for species of Leporinus discussed in text. Both axes show significant correlations with log centroid size.
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.