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3,507 results for “Species identification”
Fig. 2 in Redescription of Dexiotricha colpidiopsis (Kahl, 1926) Jankowski, 1964 (Ciliophora, Oligohymenophorea) from a Hot Spring in Iceland with Identification Key for Dexiotricha species
Fig. 2. Dexiotricha colpidiopsis from live (A–C) and after protargol-staining (D–F). (A) Ventrolateral view of a typical specimen showing the subterminal contractile vacuole (arrow). (B) Ventral view (from Kahl 1926). (C) Right lateral view showing the transverse row of cilia (arrows). (D) Ciliature of oral region. (E, F) Ventral and dorsal views of type specimen. CC, caudal cilium; M1–3, membranelles 1–3; Ma, macronucleus; Mi, micronucleus; PK, postoral kineties; PM, paroral membrane; Sc, scutica; SK, somatic kineties; SK1, first somatic kinety on right margin of buccal cavity; SKn, first somatic kinety on left margin of buccal cavity. Scale bars: 25 µm.
Fig. 4 in Redescription of Dexiotricha colpidiopsis (Kahl, 1926) Jankowski, 1964 (Ciliophora, Oligohymenophorea) from a Hot Spring in Iceland with Identification Key for Dexiotricha species
Fig. 4. Phylogenetic tree inferred by Maximum-likelihood (ML) analyses of the small SSU rRNA gene sequences. The new sequence is highlighted in bold. Numbers at the nodes are the bootstrap values of the ML and BI analyses, respectively. The mark "-" indicates discrepancies in the topologies of the ML and BI trees; thus, only the values of ML are shown in these cases. The scale bar corresponds to 5 substitutions per 100 nucleotide positions.
Fig. 3 in Redescription of Dexiotricha colpidiopsis (Kahl, 1926) Jankowski, 1964 (Ciliophora, Oligohymenophorea) from a Hot Spring in Iceland with Identification Key for Dexiotricha species
Fig. 3. Photomicrographs of Dexiotricha colpidiopsis from live (A–D; A with bright field illumination, C–D with differential interference contrast microscopy), after dry silver nitrate staining (E), and after protargol-impregnation (F–I). (A, B) Ventrolateral views showing the subterminal contractile vacuole (arrows) and the caudal cilium (arrowhead). (C) Right lateral view showing the transverse row of cilia (arrows). (D) Slightly compressed specimens showing the subterminal contractile vacuole (arrows). (E) Showing the position of the contractile vacuole pore (arrow). (F, G) Ventral and dorsal views of the type specimen. (H, I) Right and left lateral views. M1–3, membranelles 1–3; Ma, macronucleus; Mi, micronucleus; PK, postoral kinety, PM, paroral membrane. Scale bars: 25 µm.
FIGURE 1 in Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
FIGURE 1. Distribution of Mesozoic Czekanowskiales fossils in China (Chinese basemap from the Standard Map Ser- vice, plan approval number: GS (2020) 4619).
FIGURE 4 in Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
FIGURE 4. Trait importance scores for genus and species identification and heatmap of correlations between traits. (A) Importance scores for traits identified genus and species, with the solid symbols indicating key traits and the hollow symbols indicating nonkey traits; (B) proportion of importance scores for macro traits and cuticular traits identified at the genus and species; (C) heatmap of correlations between traits; serial numbers correspond to traits in Table 2.
FIGURE 5 in Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
FIGURE 5. Accuracy distributions of five supervised learning algorithms and confusion matrix of the best algorithm. (A) Accuracy distribution of the five algorithms in genus-level identification (using mixed-key traits); (B) CART algorithm confusion matrix (using mixed-key traits); (C) accuracy distribution of five algorithms in genus-level identification (using only macro-key traits); (D) CART algorithm confusion matrix (using only macro-key traits); (E) accuracy distribution of five algorithms for species-level identification (using mixed-key traits); (F) LR algorithm confusion matrix (using mixed-key traits); (G) accuracy distribution of five algorithms for species-level identification (using only macro-key traits); (H) CART algorithm confusion matrix (using only macro-key traits). Genus abbreviations: Cz., Czekanowskia; Ph., Phoenicopsis; Sp., Sphenarion; So., Solenites.
FIGURE 2 in Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
FIGURE 2. Fossils and schematic diagram of the leaf morphology and epidermal structure of Czekanowskia les. (A) Phoenicopsis angustifolia; (B) Czekanowskia rigida; (C) Phoenicopsis speciosa; (D) schematic diagram of the leaf morphology of Czekanowskiales, dotted line ab indicating the leaf cluster length (or lobe length), dotted line cd indicating the leaf cluster width, line ef indicating the lobe width, and angle cbd indicating the angle between bc and bd (the most lateral lobes); (E) schematic diagram of the epidermal structure of Czekanowskiales. Scale bars (A-C) equal 1 cm.
Fig. 1 in Genetic identification of interspecific hybrid of Neotropical catfish species (Pseudoplatystoma corruscans vs. Pseudoplatystoma reticulatum) in rivers of Mato Grosso do Sul State, Brazil
Fig. 1. Map of collection sites of the biological material. Upper Paraná River basin: Dourados River (1 to 16), Brilhante River (17), and Ivinhema River (18 to 20). Paraguay River basin: Miranda River (21), Aquidauana River (22), Negro River (23), and Paraguay River (24).
Figure 1 in Quantitative assessment of species identification in aerial transect surveys for ice-associated seals
Figure 1. The characteristic bands on the coats of ribbon seals are not necessarily clearly visible in an aerial image. The images on the top right and bottom right were taken with a Canon 1Ds Mark III fitted with a Zeiss 100 mm lens from 300 m during a 2012 line transect survey in the Bering Sea. In the top right image, an observer would likely rely on the clearly visible bands to conclude that the seal is certainly a ribbon seal. In the bottom right image, an observer would likely rely on a combination of body shape, head size, flipper size and shape, and what could be one or more bands to conclude that the seal is probably a ribbon seal.
Figure 3 in Quantitative assessment of species identification in aerial transect surveys for ice-associated seals
Figure 3. Observed species and age class identification probabilities for four species of iceassociated seals in the Bering Sea. True species and age classes include spotted seal pup (SDP), spotted seal nonpup (SDN), ribbon seal pup (RNP), ribbon seal nonpup (RNN), bearded seal pup (BDP), bearded seal nonpup (BDN), ringed seal pup (RDP), and ringed seal nonpup (RDN). Observed species classifications include spotted seal (red), ribbon seal (green), bearded seal (yellow), ringed seal (blue), and unknown seal (white). Observed age classes include pup, nonpup, and unknown. Solid colors with no hashing indicate unknown age classification. Top panel (a) includes results from an analysis with no observer effects on model parameters. Bottom four panels (b) correspond to four different observers from an analysis including observer effects.
Figure 2. A in Quantitative assessment of species identification in aerial transect surveys for ice-associated seals
Figure 2. A red face, which is one of the characteristics associated mostly with bearded seals, is not always present, nor is it necessarily visible in an aerial image. The image on the right was taken with a Canon 1Ds Mark III fitted with a Zeiss 100 mm lens from 300 m during a 2012 line transect survey in the Bering Sea. In this image, an observer would likely rely on the combination of body shape, head size, front-flipper size and shape, and position on the floe to conclude that the seal is probably or certainly a bearded seal.
Fig. 6.- Anthrenus angustefasciatus final larval instar case. 6a in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 6.- Anthrenus angustefasciatus final larval instar case. 6a.- Dorsal aspect (scale bar = 1 mm). 6b.- Lateral aspect (scale bar = 1 mm). 6c.- Head capsule (scale bar = 1 mm). 6d.- Arrow-headed hastisetae on terminal segments (scale bar = 100 µm).
Fig. 5.- Anthrenus amandae final larval instar case. 5a in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 5.- Anthrenus amandae final larval instar case. 5a.– Dorsal aspect (scale bar = 1 mm). 5b.- Lateral aspect (scale bar = 1 mm). 5c.- Head capsule (scale bar = 1 mm). 5d.- Arrow-headed hastisetae on terminal segments (scale bar = 100 µm).
Fig. 7.- Anthrenus isabellinus final larval instar case. 7a in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 7.- Anthrenus isabellinus final larval instar case. 7a.- Dorsal aspect (scale bar = 1 mm). 7b.- Lateral aspect (scale bar = 1 mm). 7c.- Head capsule (scale bar = 1 mm). 7d.- Arrow-headed hastisetae on terminal segments (scale bar = 100 µm).
Fig. 4.- Anthrenus amandae. 4a in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 4.- Anthrenus amandae. 4a.– Quiescent in final larval instar case. 4b.– Rotation in final larval instar case to split sutures in head capsule to facilitate eclosion. Scale bars = 1 mm in both cases.
Fig. 1.- Dorsal aspect. 1a.- Anthrenus amandae. 1b.- Anthrenus angustefasciatus. 1c in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 1.- Dorsal aspect. 1a.- Anthrenus amandae. 1b.- Anthrenus angustefasciatus. 1c.- Anthrenus isabellinus. Scale bar = 1 mm in all cases.
Fig. 6 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 6. Molecular phylogenetic analysis of COI gene sequences of cyathostomine species using the maximum likelihood method in MEGA7. The percentage of trees in which associated taxa clustered together is shown next to the branches. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. GenBank accession numbers are indicated alongside taxa name.
Fig. 5 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 5. Photomicrographs of Quilonia travancra. A, anterior end of a male, showing head papillae (arrows) and mouth collars (*); B, head of a male, showing crown leaflets (arrow); C, bursa of a male, lateral view, showing two branches (arrows) and three sub-branches of the posterior branch at approximately the same length (*); D, posterior branch of dorsal ray of bursa of a male, showing an appearance of trifurcation although the median and internal sub-branches are fused (*).
Fig. 2 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 2. Photomicrographs of Murshidia indica. A, anterior end of a male, showing the appearance of plumose sculpturing on anterior portion of oesophagus (arrows); B, head of a male, showing coronal leaflets (*); C, copulatory bursa and spicules (arrow) of a male; D, dorsal ray of bursa of a male, showing two branches (arrows), in which the posterior branch has a pointed extremity (*).
Fig. 4 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 4. Photomicrographs of Quilonia renniei. A, anterior end of a female, showing cylindrical shape of oesophagus (arrow); B, head of a female, showing a small buccal capsule (arrow) and curved coronal leaflets project above head (*); C, posterior end of a female; D, dorsal ray of bursa of a male, showing two branches (arrows), in which the posterior branch divided two sub-branches and the inner sub-branch is slightly bifid at the extremity (*).
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.