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83 results for “species counts”
FIGURE 8 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 8. Sticta rubropruinosa (holotype collection). A. Upper side of thallus. B. Lower side of thallus. C. Upper surface enlarged. D. Detail of upper surface showing red patches. E–G. Detail of lower tomentum and cyphellae towards thallus center and towards lobe apices. G. Cyphella enlarged showing margin with red spots and K+ emerald-green reaction. H. Microscopic section through thallus and cyphella, showing red pruina on upper surface. Scale in A and B = 10 mm, in C–F = 1 mm, in G = 0.5 mm, in H = 50 µm.
FIGURE 7 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 7. Sticta rhizinata (holotype collection). A. Thallus in situ. B. Lower surface of thallus in situ showing rhizines. C. Thallus in herbarium. D. Lower surface enlarged showing rhizines. E. Marginal isidia. F–G. Detail of marginal isidia. H. Microscopic section through thallus showing lower cortex and moniliform tomentum. Scale in A–D = 5 mm, in E–G = 0.5 mm, in H = 20 µm.
FIGURE 5 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 5. Sticta microcyphellata (holotype collection). A. Upper side of thallus. B. Lower side of thallus. C. Lower surface. D. Lower surface enlarged. E. Detail of lower tomentum and cyphellae. F. Apothecium. G. Microscopic section through thallus and cyphella. H. Microscopic section through thallus enlarged, showing lower tomentum. Scale in A–C = 10 mm, in D = 5 mm, in E and F = 1 mm, in G = 10 µm, in H = 50 µm.
FIGURE 6 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 6. Sticta papillata (A, Lücking 33370; B–E, holotype collection). A. Thallus in situ. B. Lower surface. C. Lower surface enlarged showing marginal cilia. D. Microscopic section through cyphella showing basal membrane with papillose cells. E. Microscopic section of differentiated upper cortex. Scale in A and B = 10 mm, in C = 5 mm, in D = 10 µm, in E = 30 µm.
FIGURE 4 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 4. Sticta maculofuliginosa (holotype collection). A. Thallus in situ. B. Thallus in herbarium. C. Lower surface. D. Lower surface enlarged. E. Maculate surface with laminal isidia. F. Laminal isidia enlarged. G. Microscopic section through thallus and cyphella. H. Microscopic section through thallus and isidium. Scale in A–D = 5 mm, in E and F = 1 mm, in G and H = 50 µm.
FIGURE 3 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 3. Sticta isidiokunthii (A and C–H, holotype collection; B, Lücking 33346). A–B. Thallus in situ. C. Upper and lower surface in the herbarium. D. Apothecia. E. Lower surface enlarged. F. Isidia enlarged. G. Detail of isidia. H. Microscopic section through thallus showing cyphella. Scale in A and B = 10 mm, in C–G = 5 mm, in H = 100 µm.
FIGURE 1 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 1. Sticta arachnofuliginosa (holotype collection). A. Upper lobe surface. B. Upper lobe surface enlarged. C. Lower surface enlarged. D. Isidia enlarged. E. Microscopic section of upper cortex and tomentum. Scale in A = 5 mm, in B = 0.7 mm, in C = 10 mm, in D = 1 mm, in E = 50 µm.
FIGURE 2 in Ten new species of Sticta and counting: Colombia as a hot spot for unrecognized diversification in a conspicuous macrolichen genus
FIGURE 2. Sticta arbuscula (holotype collection). A. Thallus. B. Lower surface. C. Upper surface enlarged. D. Lower surface enlarged. E. Laminal isidia enlarged. F. Marginal isidia enlarged. G. Microscopic section through cyphella. H. Microscopic section through cyphella enlarged, showing basal membrane with papillose cells. Scale in A and B = 10 mm, in C and D = 5 mm, in E = 1 mm, in F = 0.5 mm, in G = 50 µm, in H = 10 µm.
FIGURE 5 in The Peruvian species of Cristaria (Malveae, Malvaceae): taxonomic revision, chromosome counts, and breeding system
FIGURE 5. Chromosome preparations of Cristaria multifida subsp. multifida. A. Schneider & Huertas 2979. B. Schneider & Huertas 2801. Scale = 5 µm.
FIGURE 4 in The Peruvian species of Cristaria (Malveae, Malvaceae): taxonomic revision, chromosome counts, and breeding system
FIGURE 4. Habit and flower variants of Cristaria multifida subsp. multifida and details of flower and fruit. A. Cristaria multifida with small white flowers and broad leaf lobes from the Lomas de Lachay, Central Peru. B. Cristaria multifida from the southern border of its distribution range at Morro Sama, Tacna Department. C. Cristaria multifida with almost undivided leaves and minute white flowers from the interior lomas of Sama Grande at about 700 m. D. Large-flowered Cristaria multifida (petal length about 1 cm; C. aspera var. formosula) from the lomas of Mollendo. E. Detail of flower (here the Chilean C. integerrima) with its articulated pedicel (articulation see arrow). F. The characteristic carpocrater with the exposed winged mericarps; the lateral mericarp walls are evanescent and therefore the dark seeds are visible (here from C. multifida). All photos by the author.
FIGURE 3 in The Peruvian species of Cristaria (Malveae, Malvaceae): taxonomic revision, chromosome counts, and breeding system
FIGURE 3. Leaf variation, hair types, and inflorescence morphology of Cristaria multifida (A-D & H-J, subsp. multifida; E-G, subsp. moquipana). A. Tripartite leaf (Dombey s.n. [MA]). B. Undivided leaf (Müller 3621 ([LZ]). C. Trilobed leaf (Schneider et al. 2819 [USM]). D. Broadened apex of main leaf lobe. E. Deeply divided (to midvein) leaf (Müller et al. 1738 [LZ]). F & G. Narrowly obtuse to rounded apices of main leaf lobes (Weigend et al. 8400 & 8399 [LZ]). H. Erect bifid hair. I. Glandular hair (both Ferreyra 12485 [FR]). J. Apical part of flexuose inflorescence axis with remaining basal parts of pedicels and one fruiting flower (Müller et al. 12244 [LZ]). Illustrations by Julio V. Schneider.
Data for: Assessment of the accuracy of counting large ungulate species (red deer Cervus elaphus) with UAV-mounted thermal infrared cameras during night flights
<p>Unmanned Aerial Vehicles (UAVs) are increasingly used in wildlife surveying, including estimation of population densities. It is essential that we evaluate and test new survey methods to guide optimal sampling strategies. This study aimed to assess the accuracy of using a UAV-mounted thermal infrared (TIR) camera to count red deer <em>Cervus elaphus</em> populations, and how this was influenced by flight season, height and velocity, in order to help guide future census design. We flew 57 flights across a captive population of red deer in a 13 ha deer park enclosure of semi-natural habitat, representative of the species' range in northern Germany. Flights and image assessments were performed with no prior knowledge of actual population size. Accuracy was quantified by comparing real population size (known only to deer park staff) and independently estimated population sizes from UAV TIR images. Accuracy was significantly influenced by ecological season (early and late winter, spring and early summer) and height. Across all seasons, lower flights (100 m) performed better than higher ones (120 m), with lower flights in early winter and early summer being on average accurate to within 1% of actual population counts. For the season where we had the largest range of temperatures between flights (late winter) we found that accuracy was highest when temperatures were lowest. Flights were also able to identify all five stags (defined as a male deer ≥2 years old) present in early summer, but not in spring. Deer appeared to avoid the landing/take-off area, but there were no noted behavioural responses to drones flying over animals when at constant height and velocity during surveys. Our results indicate that UAV-mounted TIR camera have the potential to accurately count populations of large ungulate species, but that flight season, height and potentially temperature need to be taken into account to maximise accuracy. This approach has the potential to be scaled up to more accurately estimate densities of wild populations compared to existing approaches.</p>
Avian point-counts from Rhode Island and Connecticut used to test species distribution models
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Data from: Estimating density for species conservation: comparing camera trap spatial count models to genetic spatial capture-recapture models
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Data for: Assessment of the accuracy of counting large ungulate species (red deer Cervus elaphus) with UAV-mounted thermal infrared cameras during night flights
Open the record for dataset details and reuse information.
Linked collectors and determiners for: Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region.
Natural history specimen data linked to collectors and determiners held within, "Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a0e1e77f-c13e-497c-aaef-8b762c4a63eb">https://bionomia.net/dataset/a0e1e77f-c13e-497c-aaef-8b762c4a63eb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a0e1e77f-c13e-497c-aaef-8b762c4a63eb">https://gbif.org/dataset/a0e1e77f-c13e-497c-aaef-8b762c4a63eb</a>. Formatted as a Frictionless Data package.
FIGURE 1 in The Peruvian species of Cristaria (Malveae, Malvaceae): taxonomic revision, chromosome counts, and breeding system
FIGURE 1. Holotype (Ferreyra 14281) of Cristaria multifida subsp. moquipana.
Fig. 17 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 17. Chauvinia nyanga Rousse & van Noort, 2013, ♀ (EMUS). A. Habitus, lateral view. B. Head and mesosoma, lateral view. C. Metasoma, dorsal view.
Fig. 8 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 8. Centeterichneumon nambi Dal Pos, Diller & Di Giovanni sp. nov. A. Head, frontal view, holotype, ♀ (ZSM). B. Coxa, lateral view, paratype, ♀ (DDPC); black arrow indicates the short ventral oblique carina.
Fig. 4.Metasoma, dorsal view. A. Centeterichneumon denticoxatus denticoxatusHeinrich, 1938 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 4.Metasoma, dorsal view. A. Centeterichneumon denticoxatus denticoxatusHeinrich, 1938, syntype, ♀ (MZPW). B. Centeterichneumon denticoxatus obscuratus Heinrich, 1938, syntype, ♀ (MZPW).
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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.