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Figure 36 in Review of the genus Orizabus Fairmaire in the United States of America (Coleoptera: Scarabaeidae: Dynastinae)
Figure 36. Orizabus clunalis: Anterolateral view of male (Texas) head and pronotum.
Figures 1-2. Dipropus tequesta Johnson, new species. 1 in A new species of Dipropus Germar (Coleoptera: Elateridae) from Florida, with taxonomic and morphological notes and a new key to the species of the eastern United States
Figures 1-2. Dipropus tequesta Johnson, new species. 1) Male habitus. 2) Aedeagus, dorsal aspect.
Environmental range per unit space determines a unimodal pattern of species richness along a heterogeneity gradient
<p>Although many studies have focused on the effects of the environment and area on local patterns of species richness, few studies have demonstrated how to reconcile the availability of more niches with smaller habitat areas in heterogeneous localities. Here, the environmental range that a species prefers was defined as a niche; a space was defined as an available space if the environmental range of the space matches a niche; and the metric "environmental range per unit space (ERUS)" was presented to describe the heterogeneity of localities. Because the spaces with stressful environmental ranges, outside the niche, increased with increasing heterogeneity, available spaces did not continue to indefinitely increase, but the proportion of available spaces in spaces was low at high heterogeneous localities. Consequently, the probability of species occurring in their respective available spaces was unimodal. Due to the presence of large spaces in homogenous localities and more spaces in heterogeneous localities, the interval distances between nonadjacent spaces were large in these localities. Together, the changes in the number and proportion of available spaces and distance between spaces determined the unimodal probability of species dispersing into their respective available spaces. Thus, the probability of species coexisting was unimodal because it is important for coexisting species to grow in their respective available spaces. The probability of population extinction increased with increasing heterogeneity because the available spaces became narrower. In this way, the ERUS strongly influence species richness: a unimodal richness along the heterogeneity gradient occurred in suitable, suboptimal<i> </i>and stressful environments, and a unimodal algae richness occurred in a lake and river. These results challenge the viewpoint that richness increases with heterogeneity, providing information about the conservation of richness in very homogeneous and heterogeneous regions, and highlighting the importance of balancing the roles of environment and space in understanding and predicting richness.</p>
Figure 34 in Three new species of Pselnophorus plume moths from southern United States (Lepidoptera: Pterophoridae)
Figure 34. Male genitalia of Pselnophorus belfragei. Phallus (right) removed.
Figure 15. Type locality for Trichonotuloides aphoderrans n in Trichonotuloides aphoderrans, n.sp. (Coleoptera: Scarabaeidae: Aphodiinae), a new genus and species for the United States
Figure 15. Type locality for Trichonotuloides aphoderrans n. sp.
Fig. 5-6 in New Cryptophagus HERBST, 1792 (Coleoptera: Cryptophagidae) from New Mexico (United States of America)
Fig. 5-6: (5) Cryptophagus redondoensis nov.sp. holotype, male; (6) Cryptophagus bussi ESSER, 2017
Jupiter Moon's Movie2, by Nicolas Hurez, Paul-Antoine Matrangolo, and Carl Pennypacker, United States of America
<p>Second place in the 2021 IAU OAE Astrophotography Contest, category Galilean moons.</p> <p>This sequence shows the orbit of the four Galilean moons around the planet Jupiter. Almost two entire orbits of the innermost moon, Io, can be seen, with the other moons (Europa and Ganymede, but in particular Callisto) being further away, orbiting noticeably slower. The images were obtained in 2018 with the Las Cumbres Global Observatory at different locations on Earth, allowing a continuous sequence of images over approximately half a week without gaps during the day. With clear skies and over the course of several nights, the motion of the Galilean moons can also be observed with binoculars (ideally steady your elbows on a surface).</p> <p>Credit: Nicolas Hurez, Paul-Antoine Matrangolo and Carl Pennypacker/IAU OAE</p>
Fig. 51. A, B in Late Campanian (Cretaceous) Heteromorph Ammonites From The Western Interior Of The United States
Fig. 51. A, B. Holotype of Ptychoceras crassum Whitfield, 1877 (from Whitfield, 1880: pl. 16, figs.
Fig. 30 in Late Campanian (Cretaceous) Heteromorph Ammonites From The Western Interior Of The United States
Fig. 30. Restoration of Didymoceras cheyennense (Meek and Hayden, 1856a). Stipple board drawing
Fig. 27. A, B in Late Campanian (Cretaceous) Heteromorph Ammonites From The Western Interior Of The United States
Fig. 27. A, B. Two views of the holotype of Ancyloceras? cheyenensis (sic) Meek and Hayden,
Figs 144-147 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 144-147: Pristaulacus arizonicus.
Figs 39-41 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 39-41: Aulacus aneurus. 39Xead, front. 40Xead, dorsal. 41 Mesosoma, dorsal.
Figs 30-33 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 30-33: Aulacus leon. 30Xead, front. 31Xead, dorsal. 32 Mesosoma, lateral. 33 Mesosoma dorsal.
Figs 26-29 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 26-29: Aulacus elongatus. 26Xead, front. 27Xead, dorsal. 28Xead, lateral. 29 Mesosoma, dorsal.
Figs 1-4 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 1-4: Aulacus maculosus. 1Xead, front. 2Xead, dorsal. 3 Mesosoma, dorsal. 4Vorewing.
Figs 42-44 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 42-44: Aulacus dispilis. 42Xead, front. 43Xead, dorsal. 44 Mesosoma, dorsal.
Figs 11-13. Aulacus fascius. 11Xead, front. 12Xead, dorsal. 13 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 11-13. Aulacus fascius. 11Xead, front. 12Xead, dorsal. 13 Mesosoma, dorsal.
Figs 77-82 in Aulacidae of the southwestern United States, Mexico, and Central America (Hymenoptera)
Figs 77-82: Pristaulacus decorus. 77 Head, front. 78 Head, dorsal. 79 Mesosoma,
Fig. 121. Prionocyclites mite Kennedy, 1988. A–D. Holotype, USNM 420144, from locality 63 in A Revision Of The Turonian Members Of The Ammonite Subfamily Collignoniceratinae From The United States Western Interior And Gulf Coast
Fig. 121. Prionocyclites mite Kennedy, 1988. A–D. Holotype, USNM 420144, from locality 63.
Fig. 118 in A Revision Of The Turonian Members Of The Ammonite Subfamily Collignoniceratinae From The United States Western Interior And Gulf Coast
Fig. 118. Prionocyclus germari (Reuss, 1845). USNM 498490, a robust form from locality 57.
ScienceDex guides
Understand access before you commit
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.