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388 results for “taxonomic history”
Figs 34-46 in Classification, Natural History, and Evolution of the Subfamily Peloniinae O (Coleoptera: Cleroidea: Cleridae). Part IX. Taxonomic revision of the New World genus Muisca S
Figs 34-46: Antennae, alimentary canal, and male mesodermal internal reproductive organs. 34-44 Antennae. (34) M. tetraspilota, male. (35) M. agma, male. (36) M. bitaeniata, male. (37) M. nigrosignata, male. (38) M. sigilla, male. (39) M. zona, male. (40) M. adamanta, male. (41) M. biordinis, male. (42) M. malakela, female. (43) M. peruviana, male. (44) M. variabilis, male. (45) M. condilum, alimentary canal. (46) M. variabilis, male mesodermal internal reproductive organs.
Figs 14-33 in Classification, Natural History, and Evolution of the Subfamily Peloniinae O (Coleoptera: Cleroidea: Cleridae). Part IX. Taxonomic revision of the New World genus Muisca S
Figs 14-33: Antennae. (14) Muisca dilatata, male. (15) M. apicalis, male. (16) M. hirtula, male. (17) M. xanthura, male. (18) M. angulicollis, male. (19) M. signa, male. (20) M. fera, male. (21) M. octonotata, male. (22) M. maculosa, male. (23) M. anachyma, male. (24) M. insigna, male. (25) M. dozieri, male. (26) M. togata, male. (27) M. irrorata, male. (28) M. menda, female. (29) M. hexa, female. (30) M. heppneri, male. (31) M. magdalena, female. (32) M. mestolinea, male. (33) M. omma, male.
Data from: Comparing life histories across taxonomic groups in multiple dimensions: how mammal-like are insects?
Explaining variation in life histories remains a major challenge because they are multi-dimensional and there are many competing explanatory theories and paradigms. An influential concept in life history theory is the 'fast-slow continuum', exemplified by mammals. Determining the utility of such concepts across taxonomic groups requires comparison of the groups' life histories in multidimensional space. Insects display enormous species richness and phenotypic diversity, but testing hypotheses like the 'fast-slow continuum' has been inhibited by incomplete trait data. We use phylogenetic imputation to generate complete datasets of seven life history traits in orthopterans (grasshoppers and crickets) and examine the robustness of these imputations for our findings. Three phylogenetic principal components explain 83-96% of variation in these data. We find consistent evidence of an axis mostly following expectations of a 'fast-slow continuum', except that 'slow' species produce larger, not smaller, clutches of eggs. We show that the principal axes of variation in orthopterans and reptiles are mutually explanatory, as are those of mammals and birds. Essentially, trait covariation in Orthoptera, with 'slow' species producing larger clutches, is more reptile-like than mammal-or-bird-like. We conclude that the 'fast-slow continuum' is less pronounced in Orthoptera than in birds and mammals, reducing the universal relevance of this pattern, and the theories that predict it.
Data from: Diversity patterns of non-mammalian cynodonts (Synapsida, Therapsida) and the impact of taxonomic practice and research history on diversity estimates
Non-mammalian cynodonts represent a speciose and ecologically diverse group with a fossil record stretching from the late Permian until the Cretaceous. Because of their role as major components of Triassic terrestrial ecosystems and as the direct ancestors of mammals, cynodonts are an important group for understanding Mesozoic tetrapod diversity. We examine patterns of non-mammalian cynodont species richness and the quality of their fossil record. A supertree of cynodonts is constructed from recently published trees and time-calibrated using a Bayesian approach. While this approach pushes the root of Cynodontia back to the earliest Guadalupian, the origins of Cynognathia and Probainognathia are close to their first appearance in the fossil record. Taxic, subsampled and phylogenetic diversity estimates support a major cynodont radiation following the end-Permian mass extinction, but conflicting signals are observed at the end of the Triassic. The taxic diversity estimate shows high diversity in the Rhaetian and a drop across the Triassic/Jurassic boundary, while the phylogenetic diversity indicates an earlier extinction between the Norian and Rhaetian. The difference is attributed to the prevalence of taxa based solely on teeth in the Rhaetian, which are not included in the phylogenetic diversity estimate. Examining the completeness of cynodont specimens through geological time does not support a decrease in preservation potential; although the median completeness score decreases in the Late Triassic, the range of values remains consistent. Instead, the poor completeness scores are attributed to a shift in sampling and taxonomic practices: an increased prevalence in microvertebrate sampling and the naming of fragmentary material.
FIGURE 41. A in Taxonomic history and invasion biology of two Phyllonorycter leaf miners (Lepidoptera: Gracillariidae) with links to taxonomic and molecular datasets
FIGURE 41. A preliminary DNA barcode (COI) library for global gracillariid species.
Figure 2 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 2 In the Central Library of Datasets, natural history collection staff will find correctly identified images of their target organisms and download the data for training of an individually customized classifier (photos: Lepidoptera by Entomological Collection of ETH Zürich; Orthoptera by Naturalis Biodiversity Center; Brassicaceae by United Herbaria Z+ZT, ZT-00164967, ZT-00167494, ZT-00171530, CC BY-SA 4.0). The current figure shows a mock-up.
Figure 3 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 3 Sharing of taxonomic knowledge between institutes. (1) Each algorithm contains two basic components: the feature extractor and the classifier. (2) The Central Library of Datasets allows the user to browse through all available images of collection objects; (3) based on all available images, a regularly updated central feature extractor is created and published; (4) custom made algorithms can relatively easily be created by building a classifier based on a selection of taxa from the central library and combining this with the central feature extractor; (5) newly created algorithms together with their metadata (probability & information on content) are published through a web service in the Central Library of Algorithms (6) and can be used through the Identification web services (API) either for batch processing of images or through a mobile app. Models can be easily extended by other institutions by combining data sources (7).
Figure 1 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 1 In the Central Library of Algorithms, natural history collection staff will select algorithms (feature extractors, models, etc.) that are most appropriate for the identification of their target organisms and add them to the workbench. The current figure shows a mock-up.
Figure 6 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 6 Mock-up of an interface for automated taxon identification. Naturalis holds over 500.000 specimens of unmounted, unsorted and often unidentified, papered butterflies and moths that were collected mostly in Europe and Asia over the past 200 years. In early 2016, Naturalis embarked on a 10-year-project to digitally identify all these specimens with the help of dedicated volunteers (Caspers et al. 2019). Specimens are unpacked, photographed, had their label data registered and then repacked, still unmounted, for long-term storage. Specimen images were then dragged and dropped into a web-based interface to get a near-instant response with multiple predictions about the taxonomic identity including probability values.
Figure 5 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 5 Non-expert collection staff easily find and afterwards sort specimens by taxon (line color) and by accuracy of the identification (line type). The insect drawer is from the Oxford University Museum of Natural History. The current figure shows a mock-up.
Figure 4 from: Greeff M, Caspers M, Kalkman V, Willemse L, Sunderland BD, Bánki O, Hogeweg L (2022) Sharing taxonomic expertise between natural history collections using image recognition. Research Ideas and Outcomes 8: e79187. https://doi.org/10.3897/rio.8.e79187
Figure 4 Algorithms recognize and number individual specimens in a drawer of unsorted items. The insect drawer is from the Oxford University Museum of Natural History. The current figure shows a mock-up.
Figure 15 in Taxonomic revision and notes on natural history of the enigmatic beetle genus Gibboryctes Endrödi (Coleoptera: Melolonthidae: Dynastinae)
Figure 15. (a) Rupestrian grassland; (b) rock outcrops.
Figure 2 from: Cruz M, Bergmans W, Takada T, Shiroishi T, Yoshiki A (2024) Type specimens, taxonomic history, and genetic analysis of the Japanese dancing mouse or waltzer, Mus wagneri variety rotans Droogleever Fortuyn, 1912 (Mammalia, Muridae). ZooKeys 1200: 27-39. https://doi.org/10.3897/zookeys.1200.118823
Figure 2 The type series of Mus wagneri rotans Droogleever Fortuyn, 1912. From top to bottom and from left to right: Droogleever Fortuyn's specimens α, β, γ, δ, ε, ζ, η, λ, μ, and ν (ZMA.MAM.27233–27242). Specimen μ (ZMA.MAM.27233) in the middle at the bottom is the lectotype.
Figure 1 from: Cruz M, Bergmans W, Takada T, Shiroishi T, Yoshiki A (2024) Type specimens, taxonomic history, and genetic analysis of the Japanese dancing mouse or waltzer, Mus wagneri variety rotans Droogleever Fortuyn, 1912 (Mammalia, Muridae). ZooKeys 1200: 27-39. https://doi.org/10.3897/zookeys.1200.118823
Figure 1 The JF1 mouse strain has been developed at the National Institute of Genetics in Mishima, Japan, and is available for distribution to biomedical researchers from the RIKEN BioResource Center in Tsukuba, Japan.
Fig. 1 in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Fig. 1. Probable syntype of Mactra sulcataria Deshayes in Reeve, 1854, the Natural History Museum (London), H. Cuming collection (reg. number NHMUK 20130005). A figured specimen [Reeve, 1854, pl. 2, fig. 5]; original drawing is reproduced in this paper below (Fig. 2А).
Fig. 3 in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Fig. 3. Descriptions of Mactra sulcataria Deshayes in Reeve, 1854 in Deshayes [1854, p. 15] (above) and in Reeve [1854, species 5] (below).
FIGURE 1 in From Linnaeus to 2024-a history of Thysanoptera taxonomic diversity studies
FIGURE 1. Number of Thysanoptera valid species by decade.
Fig. 2 in The first female specimen of the poorly known Arfak Stout-tailed Snake, Calamophis sharonbrooksae Murphy, 2012 (Serpentes: Colubroidea: Homalopsidae), from the Vogelkop Peninsula of Indonesian West New Guinea, with comments on the taxonomic history of primitive homalopsids
Fig. 2. Dorsal and ventral views of the first known female Calamophis sharonbrooksae (NRM 17803). Scale = 25 mm.
Fig. 1 in The first female specimen of the poorly known Arfak Stout-tailed Snake, Calamophis sharonbrooksae Murphy, 2012 (Serpentes: Colubroidea: Homalopsidae), from the Vogelkop Peninsula of Indonesian West New Guinea, with comments on the taxonomic history of primitive homalopsids
Fig. 1. Distribution of Calamophis on the Vogelkop Peninsula, West Papua Province, and Schouten Islands, Papua Province, West New Guinea. Titles in yellow italic font identify political entities (regencies) that are bordered by yellow lines. Titles in white font label collection localities. Species are indicated by symbols, including C. sharonbrooksae (circle), C. ruuddelangi (downward triangle), C. katesandersae (diamond), and C. jobiensis (upward triangle). Scale = 200 km.
FIGURE 2. Streptocephalus longimanus. A & B in An updated and detailed taxonomical account of the large Branchiopoda (Crustacea: Branchiopoda: Anostraca, Notostraca, Spinicaudata) from the Yale North India Expedition deposited in the Yale Peabody Natural History Museum
FIGURE 2. Streptocephalus longimanus. A & B, eggs (Scale bars: A: 0.2 mm; B: 0.1 mm)
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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.