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Figure 2 in Rhopalocera (Lepidoptera) prey records of Asilidae (Diptera) in eastern New Mexico and western Texas, United States of America
Figure 2. New Mexico, field just NE of Floyd (15.vii.2017). / Nuevo México, campo al NE de Floyd (15.vii.2017).
Figure 1 in Rhopalocera (Lepidoptera) prey records of Asilidae (Diptera) in eastern New Mexico and western Texas, United States of America
Figure 1. New Mexico, Portales, nr. softball complex (28.viii.2021). / Nuevo México, Portales, cerca del complejo de softbol (28.viii.2021).
Figure 4 in Rhopalocera (Lepidoptera) prey records of Asilidae (Diptera) in eastern New Mexico and western Texas, United States of America
Figure 4. Texas, Bailey Co., Muleshoe Nat. Wildlife Refuge nr. Goose Lake (10.vii.2022). / Texas, Bailey Co., Muleshoe Nacional. Refugio de vida silvestre cerca del lago del Ganso (10.vii.2022).
Figs. 7-10 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 7-10. Hands-on student training (7), and weevil identification process (8 and 9), image-based selection of diagnostic characters that leads to species identification in question (10), spreadsheet on a species with embedded brief introduction, distribution, hosts, damage, biological and ecological notes, and bibliography.
Figs. 1-6 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 1-6. Red palm weevil (1), and South American palm weevil (2), South American palm weevil damage (3, 4, 5), and red ring disease symptom (6). Arrows 3 and 4 show early and late infestation of South American palm weevil, arrow 5 shows a full-grown larva and its damage, arrow 6 shows the cross section of coconut palm with red ring disease.
Fig. 1 in Changing blow fly (Diptera: Calliphoridae) populations in Orlando, Florida, United States
Fig. 1. Summary of species and numbers of blow fly collected in 2009 (by aerial netting) and 2010 (by Bishopp cone trap). Only 5 species of calliphorids were recovered: Chrysomya rufifacies, Chrysomya megacephala, Cochliomyia macellaria, Lucilia coeruleiviridis, and Lucilia sericata.
Fig. 10 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 10. Dorsal and lateral view of female Xylosandrus cubensis. Scale bar: 1 mm. Permission to publish from the Canadian Museum of Nature, Ottawa, Canada.
Fig. 8 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 8. Dorsal and lateral view of female Xyleborus anthracinus. Scale bar: 1 mm. Permission to publish from the Canadian Museum of Nature, Ottawa, Canada.
Fig. 7 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 7. Dorsal and lateral view of female (lef) and male (right) Scolytus dimidiatus. Scale bar: 2 mm. Permission to publish from the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Fig. 6 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 6. Dorsal and lateral view of female Pityophthorus regularis. Scale bar: 1 mm. Permission to publish from the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Fig. 4 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 4. Dorsal and lateral view of female Phloeotribus atlanticus. Scale bar: 1 mm. Permission to publish from the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Fig. 5 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 5. Dorsal and lateral view of female Pityophthorus laevis. Scale bar: 1 mm. This image may be protected by copyright or have other legal restrictions on use. Permission to publish from the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Fig. 1 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 1. Dorsal and lateral view of female Corthylus subasperulus. Scale bar: 1 mm. Permission to publish from the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Fig. 1 in Trypanosoma cruzi infection in mammals in Florida: New insight into the transmission of T. cruzi in the southeastern United States
Fig. 1. Sampling scheme for the multiscale spatial analysis depicting the sampled sites in Florida. In the state-wide map, green circles indicate a sampled area within the estimated distribution of Triatoma sanguisuga in Florida (gray shaded region) and red circles indicate a sampled site outside of this distribution. The inset depicts the paired site design (peridomestic = blue, sylvatic = green, nearest township to the sampled area = red diamonds, and the average distance of capture from the nearest inhabited household = site associated meter distance). The map was created using QGIS Geographic Information System version 3.22.5-Białowie˙za, htt p://qgis.osgeo.org. County layers map (TIGER/Line Shapefile, 2016, state, Florida, Current County Subdivision State-based) and city locations (TIGER/Line Shapefile, Current, State, Florida, Places) was accessed from the United States Census Bureau, https://catalog.data.gov/dataset. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection of Dirofilaria immitis via integrated serological and molecular analyses in coyotes from Texas, United States
Fig. 1. Texas locations where samples were collected, including Webb, Maverick, Jim Hogg, Haskell, Throckmorton, Hutchinson, Roberts, Reeves, and Loving counties.
Fig. 2. Maximum likelihood tree constructed from partial cox1 in Spirometra infection in a captive Samar cobra (Naja samarensis) in the United States: An imported case?
Fig. 2. Maximum likelihood tree constructed from partial cox1 gene sequences of Spirometra samples and related taxa. HKY + G + I was used as the best substitution model. Schistocephalus solidus and Dibothriocephalus nihonkaiensis were used as outgroups. (JPN – Japan; KOR – South Korea; CHI and CHN – China; AUS – Australia; IRA – Iran; USA – United States; THA – Thailand; MMR – Myanmar; TZA – Tanzania; IND – India; VNM – Vietnam; KHM – Cambodia; LAO – Laos; COL – Colombia; NZL – New Zealand; IDN – Indonesia; ROU – Romania; SSD – South Sudan; ETH – Ethiopia; POL – Poland; UKR – Ukraine; FIN – Finland; CHL – Chile; BRA – Brazil).
Fig. 1. A in Spirometra infection in a captive Samar cobra (Naja samarensis) in the United States: An imported case?
Fig. 1. A) Presence of Spirometra plerocercoid in subcutaneous tissue of a male Samar cobra (Naja samarensis) from a zoological facility in the USA; B) Plerocercoids isolated from de subcutaneous tissue of the same specimen.
Fig. 1 in Dirofilaria immitis and Dirofilaria striata (Spirurida: Onchocercidae) detected in wild carnivores from Texas, United States
Fig. 1. Map of Texas, US indicating the origin and number of animals sampled by species. Counties of Texas from which samples originated are in blue. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2. Phylogenetic tree created using a in Dirofilaria immitis and Dirofilaria striata (Spirurida: Onchocercidae) detected in wild carnivores from Texas, United States
Fig. 2. Phylogenetic tree created using a maximum likelihood method (2000 bootstrap replicates) showing the relationship of identified Dirofilaria immitis and one isolate of Dirofilaria striata. Brugia pahangi sequence was used as outgroup.
FIGURE 7 in Two new species of Pseudaetobatus Cappetta, 1986 (Batoidei: Myliobatidae) from the southeastern United States
FIGURE 7. Myliobatiform ray teeth associated with Pseudaetobatus in Alabama and South Carolina, comparative specimens of Aetobatus irregularis from Alabama, and late Eocene Rhinoptera sp. from Georgia. 1, Rhinoptera sp. (Tallahatta Formation), MSC 33915, incomplete median tooth, labial (1.1), lingual (1.2), and occlusal (1.3) views. 2, Rhinoptera sp. (Dry Branch Formation), SC 2001.1.12, lateral tooth, labial (2.1), lingual (2.2), and occlusal (2.3) views. 3, Rhinoptera sp. (Clinchfield Formation), SC 2013.44.8, lateral tooth, labial (3.1), lingual (3.2), and occlusal (3.3) views. 4, Aetomylaeus sp. (Tallahatta Formation), MSC 33931, incomplete lower median tooth, labial (4.1), lingual (4.2), and occlusal (4.3) views. 5, Aetomylaeus sp. (Dry Branch Formation), SC 2001.1, incomplete lower median tooth, labial (5.1), lingual (5.2), and occlusal (5.3) views. 6, Rhinoptera sp. (Clinchfield Formation), SC 2013.44.9, distal-most lateral tooth similar to Pseudaetobatus sp., labial (6.1), lingual (6.2), and occlusal (6.3) views. 7-8, Aetobatus irregularis (Lisbon Formation). 7, SC 2012.47.24, incomplete lower median tooth, occlusal view. 8, SC 2012.47.26, left side of upper? median tooth, distal (8.1), labial (8.2), and occlusal (8.3) views. Scale bars equal 1.0 cm.
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.