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214 results for “Species problem”
Fig. 4 in Taxonomic revision of Australian Amobia Robineau-Desvoidy, 1830 (Sarcophagidae: Miltogramminae): integrating morphology and genetics finds a new species and tackles old problems
Fig. 4. Amobia burnsi (Malloch, 1930), ♂, NSW, North Head, Sydney Harbour, 14 Feb. 1978, G. Daniels leg. (AM) A. Habitus, lateral view. B. Head, lateral view. C. Habitus, dorsal view. D. Head, dorsal view. E. Abdomen, dorsal view. F. Left wing, dorsal view. G. Head, anterior view. Scale bars: 1 mm.
Fig. 1 in Taxonomic revision of Australian Amobia Robineau-Desvoidy, 1830 (Sarcophagidae: Miltogramminae): integrating morphology and genetics finds a new species and tackles old problems
Fig. 1. Maximum likelihood phylogenetic tree indicating the placement of Amobia among the global Miltogramminae, inferred from COI, CYTB, ND4 and EF1α sequence data. With the exception of the three newly sequenced Australian Amobia and Macronychia rubesca, data was acquired from Piwczyński et al. (2017). Node support values are shown for both maximum likelihood analysis (bootstrap support, 1000 iterations; in bold font) and Bayesian analysis (posterior probability, 40 million generations), 'NA' indicates nodes resolved that were not resolved by the Bayesian analysis. Branch length scale = 0.3 nucleotide substitutions per site (calculated by the GTR+G nucleotide substitution model).
Fig. 6 in Taxonomic revision of Australian Amobia Robineau-Desvoidy, 1830 (Sarcophagidae: Miltogramminae): integrating morphology and genetics finds a new species and tackles old problems
Fig. 6. Amobia serpenta sp. nov., holotype, ♂, NT, Serpentine Gorge, West MacDonnell National Park, 13 Nov. 2017, Johnston, Wallman and Szpila leg. (ANIC). A. Habitus, lateral view. B. Head, lateral view. C. Habitus, dorsal view. D. Head, dorsal view. E. Abdomen, dorsal view. F. Left wing, dorsal view. G. Head, anterior view. Scale bars: 1 mm.
Fig. 3 in Taxonomic revision of Australian Amobia Robineau-Desvoidy, 1830 (Sarcophagidae: Miltogramminae): integrating morphology and genetics finds a new species and tackles old problems
Fig. 3. Amobia auriceps (Baranov, 1935), male terminalia, QLD, Cairns, 1919, J.F. Illingworth leg. (BM). A. Epandrium, cerci, surstyli and phallus, posterior view. B. Epandrium, cerci, surstyli, phallus and pre-gonite, lateral view. Abbreviations: c = cercus; d = distal lobe of phallus; s = surstylus; p = pregonite. Scale bars: 100 µm.
Fig. 5 in Taxonomic revision of Australian Amobia Robineau-Desvoidy, 1830 (Sarcophagidae: Miltogramminae): integrating morphology and genetics finds a new species and tackles old problems
Fig. 5. Amobia burnsi (Malloch, 1930), male terminalia, NT, 15 km N Katherine, 16 May 2005, R.W. Matthews leg (ANIC). A. Epandrium, cerci, surstyli and phallus, posterior view. B. Epandrium, cerci, surstyli, phallus and pre-gonite, lateral view. C. SEM image of epandrium, gonites, cerci and surstyli, posterior view. D. SEM image of epandrium, gonites, phallus, cerci and surstyli, lateral view. Abbreviations: c = cercus; d = distal lobe of phallus; s = surstylus; p = pre-gonite. Scale bars: 100 µm.
Fig. 5 in Molecular Phylogenetic and Morphological Problems of the Aki Salamander Hynobius akiensis: Description of Two New Species from Chugoku, Japan
Fig. 5. Larvae, egg sacs, and habitat at the type locality of Hynobius geiyoensis sp. nov. (A, C, and E, respectively) and H. sumidai sp. nov. (B, D, and F, respectively).
Fig. 1 in Molecular Phylogenetic and Morphological Problems of the Aki Salamander Hynobius akiensis: Description of Two New Species from Chugoku, Japan
Fig. 1. Sampling map of the three Hynobius species used in this study. The enlarged area includes the central to the western part of Hiroshima Prefecture and the northernmost part of Ehime Prefecture. Closed symbols correspond to each of the three species sequenced in the current study. Open symbols correspond to each of the three species sequenced by other studies. The underlined localities show the sampling points of individuals for morphological comparisons: Pops. 1 (18 males) and 2 (1 male) for H. geiyoensis sp. nov.; Pop. 8 (7 males) for H. sumidai sp. nov.; Pops. 14 (3 males), 15 (7 males), 20 (6 males), 29 (3 males), 30 (1 male), 34 (6 males), 39 (1 male), 54 (1 male) for H. akiensis.
Fig. 4 in Molecular Phylogenetic and Morphological Problems of the Aki Salamander Hynobius akiensis: Description of Two New Species from Chugoku, Japan
Fig. 4. Holotype of Hynobius geiyoensis sp. nov. (HMNH-AM-101, adult male, 58.4 mm SVL) from the (A) dorsal and (B) ventral perspective; holotype of H. sumidai sp. nov. (HMNH-AM-102, adult male, 48.2 mm SVL) from the (C) dorsal and (D) ventral perspective; and a specimen from the type locality (topotype) of H. akiensis (KPM-NFA 946, adult male, 55.3 mm) from the (E) dorsal and (F) ventral perspective.
Fig. 3 in Molecular Phylogenetic and Morphological Problems of the Aki Salamander Hynobius akiensis: Description of Two New Species from Chugoku, Japan
Fig. 3. Two-dimensional plots of canonical discriminant analysis in males. The x and y axes show discriminant score 1 (DS1) and discriminant score 2 (DS2), respectively. The contribution ratios of DS1 and DS2 were 88.03 % and 11.97 %, respectively.
Fig. 2 in Molecular Phylogenetic and Morphological Problems of the Aki Salamander Hynobius akiensis: Description of Two New Species from Chugoku, Japan
Fig. 2. Phylogenetic tree produced by Bayesian inference using 630-bp cytochrome b genes. Salamandrella keyserlingii was used as an outgroup. Scale bar shows genetic distance (expected changes per site). Numbers located near the nodes are posterior probabilities (PP) for Bayesian inference and bootstrap (BS) values for maximum likelihood estimation. Values appearing in parentheses after the haplotype names correspond to population localities as indicated in Table 1 and Fig. 1. Asterisks after the parentheses (Pops. 1, 8, and 54) indicate the type locality of the three species. The labels covered by shaded boxes indicate the transition type of Hynobius akiensis.
Fig. 1 in DNA barcode of Parodontidae species from the La Plata river basin - applying new data to clarify taxonomic problems
Fig. 1. Map of the La Plata River basin showing the localities of Parodontidae samples used in this study. Empty pentagon: P. nasus; full pentagon: A. affinis; empty star: P. moreirai; full star: A. affinis; empty square: A. vittatus; full square: A. piracicabae; empty lozenge: Apareiodon sp.; full lozenge: A. vladii; empty triangle: A. affinis; full triangle: A. ibitiensis. The Iguaçu Falls and the Itaipu hydroelectric Power Plant are located in the city of Foz do Iguaçu, PR and the old Seven Falls in the city of Guaíra, PR - shown on the map.
Fig. 2. K2P in DNA barcode of Parodontidae species from the La Plata river basin - applying new data to clarify taxonomic problems
Fig. 2. K2P distance NJ dendrogram showing the nine analyzed species/populations of Parodontidae from the La Plata River basin.
Linked collectors and determiners for: Notes on the Agrotis colossa Boursin problem, with the description of new Agrotis species from China (Lepidoptera, Noctuidae).
Natural history specimen data linked to collectors and determiners held within, "Notes on the Agrotis colossa Boursin problem, with the description of new Agrotis species from China (Lepidoptera, Noctuidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5b8eb757-76f6-46d4-b5e8-45fb539f5e65">https://bionomia.net/dataset/5b8eb757-76f6-46d4-b5e8-45fb539f5e65</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5b8eb757-76f6-46d4-b5e8-45fb539f5e65">https://gbif.org/dataset/5b8eb757-76f6-46d4-b5e8-45fb539f5e65</a>. Formatted as a Frictionless Data package.
Figs 1–9 in The problems involved in the characterisation of scolopendromorph species (Chilopoda: Scolopendromorpha)
Figs 1–9. Characters of Scolopendromorpha. 1. Composite drawing showing a ventral view of segment 21 and end leg prefemora, based on Rhysida and Otostigmus. The left side with three coxopleural end spines and one lateral spine, regularly arranged prefemoral spines and sternite 21 narrowed posteriorly (also indicated by dashed line on right). The right side with two coxopleural end spines, two lateral spines, an irregular arrangement of prefemoral spines and sternite 21 widened posteriorly. 2. Distal part of femur, tibia and tarsi of an end leg of Cryptops polyodontus Attems, 1905 from Zealand (after Archey 1924). 3. Coxosternal toothplates of a male Scolopendra morsitans Linnaeus, 1758, length 78 mm, showing right tooth plate with additional teeth from Île aux Sables, Rodrigues, Indian Ocean. 4. Normal coxosternal tooth plates, of a 35 mm specimen of Otostigmus beroni Lewis, 2001 from Nepal. 5. Worn coxosternal tooth plates of a second 35 mm specimen of Otostigmus beroni. 6. Tergite 10 of a 30 mm Otostigmus nr scaber Porat, 1876, from Gunung Mulu, Sarawak. 7. Sternite 17 of a 45 mm specimen of Otostigmus cf sumatranus Haase, 1887 from Gunung Api, Sarawak. 8. Head and first two tergites, of a 38 mm specimen of Cormocephalus cupipes Pocock, 1891 from Mozambique (after Lewis 2001). 9. Head and first two tergites of a 38 mm specimen of Cormocephalus pseudopunctatus Kraepelin, 1903 from Mozambique (after Lewis 2001).
Data from: Songbird species that display more-complex vocal learning are better problem-solvers and have larger brains
<p>Complex vocal learning, a critical component of human spoken language, has been assumed to be associated with more-advanced cognitive abilities. Tests of this hypothesis between individuals within a species have been inconclusive and have not been done across species. In this work, we measured an array of cognitive skills - namely problem-solving, associative and reversal learning, and self-control - across 214 individuals of 23 bird species, including 19 wild-caught songbird species and two vocal nonlearning species. We found that the greater the vocal learning abilities of a species, the better their problem-solving skills and the relatively larger their brains. These conclusions held when controlling for non-cognitive variables and phylogeny. Our results support a hypothesis of shared genetic and cognitive mechanisms between vocal learning, problem-solving, and bigger brains in songbirds.</p>
Data from: Songbird species that display more-complex vocal learning are better problem-solvers and have larger brains
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Data associated with: Applying remote sensing for large-landscape problems: Inventorying and tracking habitat recovery for a broadly distributed Species At Risk
<ol> <li> <p><span>Anthropogenic habitat alteration is leading to the reduction of global biodiversity. Consequently, there is an imminent need to understand the state and trend of habitat alteration across broad areas. In North America, habitat alteration has been linked to the decline of threatened woodland caribou. As such, habitat protection and restoration are critical measures to support recovery of self-sustaining caribou populations. Broad estimates of habitat change through time have set the stage for understanding the status of caribou habitat. However, the lack of updated and detailed data on post-disturbance vegetation recovery is an impediment to recovery planning and monitoring restoration effectiveness. Advances in remote sensing tools to collect high-resolution data at large spatial scales are beginning to enable ecological studies in new ways to support ecosystem-based and species-based management.</span></p> </li> <li> <p><span>We used semi-automated and manual methodologies to fuse photogrammetry point clouds (PPC) from high-resolution aerial imagery with wide-area Light Detection and Ranging (LiDAR) data to quantify vegetation structure (height, density, class) on disturbances associated with caribou declines. We also compared vegetation heights estimated from the semi-automated PPC-LiDAR fusion to heights estimated in the field, using stereoscopic interpretation, and using multi-channel TiTAN LiDAR.</span></p> </li> <li> <p><span>Vegetation regrowth was occurring on many of the disturbance types, though there was local variability in the type, height, and density of vegetation. Heights estimated using PPC-LiDAR fusion were highly correlated (r ≥ 0.87 in all cases) with heights estimated using stereomodels, TiTAN multi-channel LiDAR, and field measurements. </span></p> </li> <li> <p>We demonstrated that PPC-LiDAR fusion can be operationalized over large areas to collect comprehensive and consistent vegetation data across landscape levels, providing opportunities to link fine-resolution remote sensing to landscape-scale ecological studies. Crucially, these data can be used to estimate rates of habitat recovery at resolutions that are not feasible using more commonly used satellite-based sensors, bridging the gap between resolution and extent. Such data are needed to achieve effective and efficient habitat monitoring to support caribou recovery efforts, as well as a myriad of additional forest management needs.</p> </li> </ol>
Data from: Common approaches to introduced species management face widespread acceptance problems in the United States
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Data associated with: Applying remote sensing for large-landscape problems: Inventorying and tracking habitat recovery for a broadly distributed Species At Risk
Open the record for dataset details and reuse information.
FIGURES 25–28 in Taxonomic problems surrounding Barsine orientalis bigamica Černý & Pinratana 2009 with description of a new species (Lepidoptera, Erebidae, Arctiinae Lithosiini)
FIGURES 25–28. Male genitalia of Barsine spp. 25, B. bigamica, Vietnam, Da Nang, slide AV2280; 26, B. bigamica, Vietnam, Hoa Binh, slide MWM37153; 27, B. tongi sp. nov. holotype, China, Hainan, prep. Huang; 28, B. tongi sp. nov. paratype, China, Hainan, prep. Huang, from the specimen in fig. 14.
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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.