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3,507 results for “Species identification”
Figure 2 from: Linh NN, Hang PLB, Hue HTT, Ha NH, Hanh HH, Ton ND, Hien LTT (2022) Species discrimination of novel chloroplast DNA barcodes and their application for identification of Panax (Aralioideae, Araliaceae). PhytoKeys 188: 1-18. https://doi.org/10.3897/phytokeys.188.75937
Figure 2 Percent relative abundance in distribution of intra/interspecific K2P pairwise distances estimated for markers.
Figure 5 from: Linh NN, Hang PLB, Hue HTT, Ha NH, Hanh HH, Ton ND, Hien LTT (2022) Species discrimination of novel chloroplast DNA barcodes and their application for identification of Panax (Aralioideae, Araliaceae). PhytoKeys 188: 1-18. https://doi.org/10.3897/phytokeys.188.75937
Figure 5 Percentage of variable sites, mean pairwise distances, and correct classification percentages of all markers and combinations
Figure 4 from: Linh NN, Hang PLB, Hue HTT, Ha NH, Hanh HH, Ton ND, Hien LTT (2022) Species discrimination of novel chloroplast DNA barcodes and their application for identification of Panax (Aralioideae, Araliaceae). PhytoKeys 188: 1-18. https://doi.org/10.3897/phytokeys.188.75937
Figure 4 Results of mPTP species delimitation analysis for several markers based on ML trees A Species delimitation for marker trnQ-rps16B Species delimitation for the combination of markers 1+3+4. Bootstrap values are displayed on the branches. The red branches represent supported species delimitations. Sequences highlighted in orange originate from this study.
Figure 1 from: Linh NN, Hang PLB, Hue HTT, Ha NH, Hanh HH, Ton ND, Hien LTT (2022) Species discrimination of novel chloroplast DNA barcodes and their application for identification of Panax (Aralioideae, Araliaceae). PhytoKeys 188: 1-18. https://doi.org/10.3897/phytokeys.188.75937
Figure 1 Distribution of Panax in Vietnam and sample locations. P. vietnamensis (green) collected in Quang Nam and Kon Tum Provinces. P. vietnamensis var. fuscidiscus (brown) collected in Lai Chau Province. Panax sp. Puxailaileng (pink) collected in Nghe An Province. P. bipinnatifidus (blue) and P. stipuleanatus (yellow) collected in Lao Cai Province. The natural distribution of P. vietnamensis, P. vietnamensis var. fuscidiscus, and Panax sp. are marked as green, brown, and pink, respectively. The wild habitat for P. bipinnatifidus and P. stipuleanatus is shown in yellow, and the purple area represents the distribution region of P. vietnamensis var. langbiangensis (not included in this study).
FIGURE 9 in Abyssal ascidians (Chordata, Tunicata) from the Weddell Sea, Antarctica, including a new Styela species and stomach content identifications
FIGURE 9. Asajirus indicus.
FIGURE 2 in Abyssal ascidians (Chordata, Tunicata) from the Weddell Sea, Antarctica, including a new Styela species and stomach content identifications
FIGURE 2. Protoholozoa pedunculata.
Identification of species by combining molecular and morphological data using convolutional neural networks
<p>Integrative taxonomy is central to modern taxonomy and systematic biology, including behavior, niche preference, distribution, morphological analysis, and DNA barcoding. However, decades of use demonstrate that these methods can face challenges when used in isolation, for instance, potential misidentifications due to phenotypic plasticity for morphological methods, and incorrect identifications because of introgression, incomplete lineage sorting, and horizontal gene transfer for DNA barcoding. Although researchers have advocated the use of integrative taxonomy, few detailed algorithms have been proposed. Here, we develop a convolutional neural network method (morphology-molecule network [MMNet]) that integrates morphological and molecular data for species identification. The newly proposed method (MMNet) worked better than four currently available alternative methods when tested with 10 independent data sets representing varying genetic diversity from different taxa. High accuracies were achieved for all groups, including beetles (98.1% of 123 species), butterflies (98.8% of 24 species), fishes (96.3% of 214 species), and moths (96.4% of 150 total species). Further, MMNet demonstrated a high degree of accuracy (<i>></i>98%) in four data sets including closely related species from the same genus. The average accuracy of two modest subgenomic (single nucleotide polymorphism) data sets, comprising eight putative subspecies respectively, is 90%. Additional tests show that the success rate of species identification under this method most strongly depends on the amount of training data, and is robust to sequence length and image size. Analyses on the contribution of different data types (image vs. gene) indicate that both morphological and genetic data are important to the model, and that genetic data contribute slightly more. The approaches developed here serve as a foundation for the future integration of multimodal information for integrative taxonomy, such as image, audio, video, 3D scanning, and biosensor data, to characterize organisms more comprehensively as a basis for improved investigation, monitoring, and conservation of biodiversity.</p>
Figure 2 from: Yamane S, Hosoishi S, Ito F (2022) Japanese Tetramorium queens: identification key and species diagnoses (Hymenoptera, Formicidae, Myrmicinae). ZooKeys 1084: 43-64. https://doi.org/10.3897/zookeys.1084.69767
Figure 2 Japanese Tetramorium queens: habitus in profile view aT. bicarinatum (Nagashima, Kagoshima-ken, Kyushu) bT. cf. kraepelini (Itoman, Okinawa-jima, Okinawa-ken) cT. lanuginosum (Komi, Iriomote-jima, Okinawa-ken) dT. nipponense (Umi-jinja, Shikano-shima, Fukuoka-shi) eT. pacificum (Upper Thompson Nature Park, Singapore) fT. simillimum (Yoron-jima, Amami Is., Kagoshima-ken). (Same specimens were used for 'head in full-face view' and 'habitus in dorsal view').
Figure 1 from: Yamane S, Hosoishi S, Ito F (2022) Japanese Tetramorium queens: identification key and species diagnoses (Hymenoptera, Formicidae, Myrmicinae). ZooKeys 1084: 43-64. https://doi.org/10.3897/zookeys.1084.69767
Figure 1 Some important characters used in the key to species a–e petiole in profile view aT. pacificumbT. lanuginosumcT. bicarinatumdT. smithieT. tsushimaef–h anterior half of first gastral tergite fT. bicarinatumgT. simillimumhT. lanuginosumi–k antennal scape showing pilosity on its anterior margin l–n left hindtibia i, lT. cf. kraepelinij, mT. nipponensek, nT. simillimumo, p configuration of ocelli oT. tanakaipT. cf. kraepelini.
Figure 4 from: Yamane S, Hosoishi S, Ito F (2022) Japanese Tetramorium queens: identification key and species diagnoses (Hymenoptera, Formicidae, Myrmicinae). ZooKeys 1084: 43-64. https://doi.org/10.3897/zookeys.1084.69767
Figure 4 Japanese Tetramorium queens: head in full-face view aT. bicarinatumbT. cf. kraepelinicT. lanuginosumdT. nipponenseeT. pacificumfT. simillimumgT. smithihT. tanakaiiT. tsushimae.
Figure 3 from: Yamane S, Hosoishi S, Ito F (2022) Japanese Tetramorium queens: identification key and species diagnoses (Hymenoptera, Formicidae, Myrmicinae). ZooKeys 1084: 43-64. https://doi.org/10.3897/zookeys.1084.69767
Figure 3 Japanese Tetramorium queens: habitus in profile aT. smithi (Hirarahigashi, Miyako-jima, Okinawa-ken) bT. tanakai (Mandabaru, Yonaguni-jima, Okinawa-ken) cT. tsushimae (Nokono-shima, Fukuoka-shi). (Same specimens were used for 'head in full-face view' and 'habitus in dorsal view').
Figure 5 from: Yamane S, Hosoishi S, Ito F (2022) Japanese Tetramorium queens: identification key and species diagnoses (Hymenoptera, Formicidae, Myrmicinae). ZooKeys 1084: 43-64. https://doi.org/10.3897/zookeys.1084.69767
Figure 5 Japanese Tetramorium queens: habitus in dorsal view aT. bicarinatumbT. cf. kraepelinicT. lanuginosumdT. nipponenseeT. pacificumfT. simillimum.
FIGURE -. (Continued) in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE -. (Continued)
FIGURE -. (Continued) in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE -. (Continued)
FIGURE -. (Continued) in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE -. (Continued)
Supplementary materials for the manuscript entitled: Mitochondrial Perspective on Species Identification and Delimitation for troglobitic Cicurina (Arachnida: Araneae: Hahniidae) from Central Texas
<p>Central Texas is home to a diverse fauna of endemic species found in the karst areas along the Balcones Fault Line, the Edwards Aquifer region, and associated springs. The fauna occurring in Bexar County experience especially high anthropogenic pressure due to urban sprawl and suburban development in and around San Antonio, one of the largest cities in the United States. Among local fauna are numerous troglobitic spider species of the genus <em>Cicurina</em> Menge, 1871 (subgenus <em>Cicurella</em> Chamberlin and Ivie, 1940). Many species of this genus are thought to have small distributions and are often represented in museums and datasets by very few specimens. Species taxonomy for this group has been defined primarily by differences in the reproductive anatomy of adult females, which are rare in comparison to the number of immature individuals found in the wild. Prior studies have shown that non-morphologically identifiable immature specimens, in conjunction with adult morphology, aid in illuminating species distributions through incorporation of genetic data. The phylogenetic assessment of the area's diverse species of <em>Cicurina</em>, which currently includes three federally listed species (<em>C. madla</em> Gertsch, 1992, <em>C. vespera</em> Gertsch, 1992, and <em>C. baronia</em> Gertsch, 1992), can benefit from a statistical framework upon which to test species boundaries and identify priority areas for further investigations. The species delimitation analyses reported herein provides an updated and expanded understanding of currently recognized species relationships and distributions. Statistical support was obtained for many recognized species, but hypotheses invalidating some species are also proposed. In addition, detections of potentially undescribed species only known from genetics of immature specimens are presented. Finally, significant divergences within federally endangered species were also identified, and priorities for future research are suggested.</p>
Fig. 7 in Three new species of European Coletinia Wygodzinsky (Zygentoma, Nicoletiidae), with additional records and an updated identification key
Fig. 7. Coletinia dextra Molero-Baltanás, Bach de Roca & Gaju-Ricart sp. nov. Holotype, ♂ (MNCN_ Ent 283557). A. Maxilla and maxillary palp. B. Labial palp. C. Thoracic nota. D. First leg, except coxa. E. Third leg, except coxa. Scale bars: A, C–E = 0.1 mm; B = 0.2 mm.
Figures 15-18 from: Sruoga V, De Prins J (2022) New species of Urodeta Stainton, 1869 (Lepidoptera, Elachistidae, Elachistinae) from Ghana and Democratic Republic of the Congo, with identification keys to the Afrotropical species of the genus. ZooKeys 1089: 25-36. https://doi.org/10.3897/zookeys.1089.79716
Figures 15-18 Urodeta bisigna sp. nov., female, holotype 15 habitus 16 head, fronto-lateral view 17 caudal part of female genitalia 18 ductus and corpus bursae.
Figures 5-14 from: Sruoga V, De Prins J (2022) New species of Urodeta Stainton, 1869 (Lepidoptera, Elachistidae, Elachistinae) from Ghana and Democratic Republic of the Congo, with identification keys to the Afrotropical species of the genus. ZooKeys 1089: 25-36. https://doi.org/10.3897/zookeys.1089.79716
Figures 5-14 Urodeta falcata sp. nov., male, holotype 5 habitus 6 head, fronto-lateral view 7 general view of male genitalia (phallus removed) 8 sclerotized phallic tube 9 male genitalia, lateral view 10 central part of genitalia 11 distal part of phallus 12 gnathos and apices of cucullus, distal view 13 ventral cornutus 14 dorsal cornutus (5, 6, 8–10 in glycerol before permanent mounting in Euparal).
FIGURE 4 in Synopsis of the Central Asian Salvia species with identification key
FIGURE 4. New records of Salvia species for the flora of Kazakhstan and Tajikistan.
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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)
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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.