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3,507 results for “Species identification”
Figure 6 from: Mu Y-H, Hu Y-P, Wei Y-L, Yuan H-S (2020) Hydnaceous fungi of China 8. Morphological and molecular identification of three new species of Sarcodon and a new record from southwest China. MycoKeys 66: 83-103. https://doi.org/10.3897/mycokeys.66.49910
Figure 6 SEM of basidiospores of Sarcodon grosselepidotus (holotype: IFP 012529).
Figure 3 from: Mu Y-H, Hu Y-P, Wei Y-L, Yuan H-S (2020) Hydnaceous fungi of China 8. Morphological and molecular identification of three new species of Sarcodon and a new record from southwest China. MycoKeys 66: 83-103. https://doi.org/10.3897/mycokeys.66.49910
Figure 3 SEM of basidiospores of Sarcodon coactus (holotype: IFP 019351).
Figure 2 from: Mu Y-H, Hu Y-P, Wei Y-L, Yuan H-S (2020) Hydnaceous fungi of China 8. Morphological and molecular identification of three new species of Sarcodon and a new record from southwest China. MycoKeys 66: 83-103. https://doi.org/10.3897/mycokeys.66.49910
Figure 2 A basidiocarp of Sarcodon coactus (holotype: IFP 019351).
Figure 8 from: Sharaf MR, Aldawood AS, Mohamed AA, Hita Garcia F (2020) The genus Lepisiota Santschi, 1926 of the Arabian Peninsula with the description of a new species, Lepisiota elbazi sp. nov. from Oman, an updated species identification key, and assessment of zoogeographic affinities. Journal of Hymenoptera Research 76: 127-152. https://doi.org/10.3897/jhr.76.50193
Figure 8 Zoogeographic analysis of the Arabian Lepisiota.
Figure 7 from: Sharaf MR, Aldawood AS, Mohamed AA, Hita Garcia F (2020) The genus Lepisiota Santschi, 1926 of the Arabian Peninsula with the description of a new species, Lepisiota elbazi sp. nov. from Oman, an updated species identification key, and assessment of zoogeographic affinities. Journal of Hymenoptera Research 76: 127-152. https://doi.org/10.3897/jhr.76.50193
Figure 7 Ayn Razat, the type locality of Lepisiota elbazi sp. nov. (Mostafa Sharaf).
Figure 32 from: Shimizu S (2020) The Nepalese species of the genus Enicospilus Stephens, 1835 (Hymenoptera, Ichneumonidae, Ophioninae): a preliminary revision and identification key to species. Deutsche Entomologische Zeitschrift 67(1): 69-126. https://doi.org/10.3897/dez.67.51332
Figure 32 Elevational distribution pattern of the Enicospilus in Nepal.
Figures 107-112 from: Pádua DG, Sääksjärvi IE, Monteiro RF, Oliveira ML (2020) Seven new species of spider-attacking Hymenoepimecis Viereck (Hymenoptera, Ichneumonidae, Pimplinae) from Ecuador, French Guiana, and Peru, with an identification key to the world species. ZooKeys 935: 57-92. https://doi.org/10.3897/zookeys.935.50492
Figures 107-112 Geographic distribution of the Hymenoepimecis species in this study.
Figure 1 in Morphology, natural history and molecular identification of tadpoles of three endemic frog species of Nyctibatrachus Boulenger, 1882 (Anura: Nyctibatrachidae) from Central Western Ghats, India
Figure 1. (a) Sampling localities; (b) Myristica swamp forest, India.
Data from: Genetic identification of Iberian rodent species using both mitochondrial and nuclear loci: application to non-invasive sampling
Species identification through non-invasive sampling is increasingly used in animal conservation genetics, given that it obviates the need to handle free-living individuals. Non-invasive sampling is particularly valuable for elusive and small species such as rodents. Although rodents are not usually assumed to be the most obvious target for conservation, of the 21 species or near-species present in Iberia, three are considered endangered and declining while several others are poorly studied. Here we develop a genetic tool for identifying all rodent species in Iberia by non-invasive genetic sampling. To achieve this purpose we selected one mitochondrial gene (cytochrome b – cyt-b) and one nuclear gene (interphotoreceptor retinoid-binding protein – IRBP), which we first sequenced using tissue samples. Both genes allow for the phylogenetic distinction of all species except the sibling species Microtus lusitanicus and M. duodecimcostatus. Overall, cyt-b showed higher resolution than IRBP, revealing a clear barcoding gap. To allow these markers to be applied to non-invasive samples, we selected a short highly-diagnostic fragment from each gene, which we used to obtain sequences from faeces and bones from owl pellets. Amplification success for the cyt-b and IRBP fragment was 85% and 43% in faecal and 88% and 64% in owl-pellet DNA extractions, respectively. The method allows the unambiguous identification of the great majority of Iberian rodent species from non-invasive samples, with application in studies of distribution, spatial ecology and population dynamics, and for conservation.
Figure 2 in Conservation gaps identification through patterns of species richness established from species niche models of mammals in a sector of Chaco Seco ecoregion
Figure 2. Binary maps of potential distribution of (A) chacoan peccary, (B) cougar, (C) brown brocket deer, (D) collared peccary and (E) anteater. The gray pixels indicate the places of presence of the species.
Figure 1 in Conservation gaps identification through patterns of species richness established from species niche models of mammals in a sector of Chaco Seco ecoregion
Figure 1. Study area. Geometric figures of different colors indicating the sites of presence of the selected mammalian species used for the distribution models.
Figure 3 in Conservation gaps identification through patterns of species richness established from species niche models of mammals in a sector of Chaco Seco ecoregion
Figure 3. Response graphs of habitat suitability (ordinate axis) according to the explanatory variables that intervened in the adjustment of the model for cougar (A, B, C). Precipitation is expressed in mm and altitude in meters. Source of bioclimatic variables (bio), site https://www.worldclim.org/data/bioclim.html.
Figure 1 from: Jeong K-H, Harms D, Johnson J (2024) A new species of Ditha (Pseudoscorpiones, Chthoniidae, Tridenchthoniinae) from the Western Ghats of India, with an identification key for the genus. Zoosystematics and Evolution 100(1): 1-8. https://doi.org/10.3897/zse.100.110020
Figure 1 Distribution of the Ditha (Ditha) and Ditha (Paraditha) species.
Figure 1 from: Zhang L, Wang B, He Q, Yao Z (2024) A new species of the Pholcus phungiformes species group (Araneae, Pholcidae) from Liaoning, China, with identification keys to four closely related species. ZooKeys 1193: 171-179. https://doi.org/10.3897/zookeys.1193.115640
Figure 1 Distribution of Pholcus fengmeii sp. nov. from Liaoning, China. Arrows indicate habitats.
Figure 6 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 6 Japanese Tetramorium queens: habitus in dorsal view aT. smithibT. tanakaicT. tsushimae.
Figure 2 from: Boroni NL, Lobo LS, Romano PSR, Lessa G (2017) Taxonomic identification using geometric morphometric approach and limited data: an example using the upper molars of two sympatric species of Calomys (Cricetidae: Rodentia). Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e19864
Figure 2 - Landmarks of the molar used in this study. For landmarks description, see text.
Figure 1 from: Boroni NL, Lobo LS, Romano PSR, Lessa G (2017) Taxonomic identification using geometric morphometric approach and limited data: an example using the upper molars of two sympatric species of Calomys (Cricetidae: Rodentia). Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e19864
Figure 1 - Map of Minas Gerais (Brazil), with the study location, municipality of Cordisburgo.
Figure 9 from: Peneva V, Elshishka M, Lazarova S (2012) Studies of the genus Enchodelus Thorne, 1939 (Nematoda, Nordiidae) from Arctic polar deserts. 1. Species with long odontostyle: E. makarovae sp. n. and E. groenlandicus (Ditlevsen, 1927) Thorne, 1939, with an identification key to the species of the E. macrodorus group. ZooKeys 212: 1-23. https://doi.org/10.3897/zookeys.212.3464
Figure 9 - Enchodelus groenlandicus. A–E Female A–E Tail ends. Scale bars: A–E 50 µm.
Figure 5 from: Balkenohl M (2017) Trilophidius gemmatus sp. n., a new species from Bhutan, with an updated identification key to the Asian species (Coleoptera, Carabidae, Scaritinae). Alpine Entomology 1: 51-56. https://doi.org/10.3897/alpento.1.17351
Figure 5 - Trilophidius gemmatus sp. n., female coxostyli, paratype, dorsolateral view.
Figures 1-2 from: Balkenohl M (2017) Trilophidius gemmatus sp. n., a new species from Bhutan, with an updated identification key to the Asian species (Coleoptera, Carabidae, Scaritinae). Alpine Entomology 1: 51-56. https://doi.org/10.3897/alpento.1.17351
Figures 1-2 - Trilophidius gemmatus sp. n., holotype, male, dorsal view. 1 Habitus. 2 Head.
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.