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FIGURES 9–10 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 9–10. PAE for the Transmexican Volcanic Belt (TVB). 9, consensus cladogram. Bracket shows the clade that defines an area of endemism. 10, areas and microareas of endemism.
FIGURES 7–8 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 7–8. PAE for the Sierra Madre Oriental (SMOR). 7, consensus cladogram. Brackets show the clade that defines an area of endemism. 8, areas and microareas of endemism.
FIGURES 5–6 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 5–6. PAE for the Sierra Madre Occidental (SMOC). 5, consensus cladogram. Bracket shows the clade that defines an area of endemism. 6, areas and microareas of endemism.
FIGURES 13–14 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 13–14. PAE for the Chiapas Highlands (CHIS). 13, consensus cladogram. Bracket shows the clade that defines an area of endemism. 14, areas and microareas of endemism.
FIGURES 11–12 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 11–12. PAE for the Sierra Madre del Sur (SMS). 11, consensus cladogram. 12, microareas of endemism.
FIGURES 1–4 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURES 1–4. Areas and microareas of endemism for the MTZ defined using PAE. 1, areas of endemism for the whole MTZ. 2, microareas of endemism for the whole MTZ. 3, areas of endemism for each province of the MTZ. 4, microareas of endemism for each province of the MTZ. SMOC, Sierra Madre Occidental; SMOR, Sierra Madre Oriental; TVB, Transmexican Volcanic Belt; SMS, Sierra Madre del Sur; CHIS, Chiapas Highlands.
FIGURE 15 in Testing the biogeographical regionalization of the Mexican Transition Zone based on the distribution of Curculionidae (Insecta: Coleoptera)
FIGURE 15. Consensus cladogram of PAE for the provinces of the MTZ. CHIS, Chiapas Highlands; SMS, Sierra Madre del Sur; SMOR, Sierra Madre Oriental; TVB, Transmexican Volcanic Belt; SMOC, Sierra Madre Occidental.
FIGURE 96–97. Distribution map. 96 in A revision of the genera Acrosathe Irwin and Lyneborg, Arenigena Irwin and Lyneborg, and Litolinga Irwin and Lyneborg (Diptera: Therevidae: Therevinae) from the Nearctic Region
FIGURE 96–97. Distribution map. 96. Arenigena bajaensis, open circle, Ar. semitaria closed circle. 97. Arenigena marcida closed circle, Litolinga acuta open circle.
FIGURE 50–53. Distribution map. 50 in A revision of the genera Acrosathe Irwin and Lyneborg, Arenigena Irwin and Lyneborg, and Litolinga Irwin and Lyneborg (Diptera: Therevidae: Therevinae) from the Nearctic Region
FIGURE 50–53. Distribution map. 50. Acrosathe bimaculata closed circle, Arenigena floridensis closed triangle, Litolinga tergisa open circle. 51. Acrosathe falcata closed circle, Ac. pacifica open circle. 52. Acrosathe otiosa. 53. Acrosathe vanduzeei.
FIGURE 1 in Diversity and distribution of the superfamily Grylloidea (Orthoptera: Ensifera: Gryllidea) in the Nearctic region
FIGURE 1. Map of species richness of the superfamily Grylloidea in Nearctic region (1° × 1° grid-cells).
Regional climates shape the biogeographic history of a broadly distributed freshwater crab species complex
<p>Aim: The evolutionary importance of paleoclimate regimes has been noted in biogeographic studies. However, little is known about how paleoclimate differences shaped the biogeographic pattern and diversification history of the freshwater fauna in important zoogeographical boundary regions. Here, we aim to investigate how past regional climatic differences have shaped the biogeographic history of the inland aquatic fauna in China using an endemic freshwater crab species complex found on both sides of the Qinling Mountains–Huaihe River Line (QHL), a critical ecological boundary in eastern China, as a model system.</p> <p>Location: Eastern China, the Qinling Mountains–Huaihe River Line.</p> <p>Taxon: The <em>Sinopotamon yangtsekiense</em> species complex.</p> <p>Methods: A total of 482 individuals of <em>Sinopotamon yangtsekiense</em> sensu lato were collected from 34 localities throughout its entire distributional range. The phylogeographic analyses of population structure, morphological and genetic variations, and demographic dynamics were made based on multiple mtDNA and nuDNA loci and on morphological traits. Fine-tuned ecological niche modeling was used to reconstruct the location of climatically suitable areas that existed during the Last Glacial Maximum.</p> <p>Results: The divergence of two freshwater crab lineages across the QHL correlated with significant past variations in monsoon intensity and with the location of multiple refuges. The divergence time was broadly consistent with the timing of the critical paleoclimate transition event in the mid-Pleistocene (95% HPD, 0.48–1.06 Ma). Each freshwater crab lineage has evolved distinct male genital traits associated with their isolation in areas with different precipitation rates and temperatures in the past. The patterns of crab distribution observed today reflect past contractions of the two lineages in response to glacial and interglacial cycles during the Pleistocene, followed by their subsequent rapid expansion after the Last Glacial Maximum (~15 kya).</p> <p>Main conclusions: Populations of the widespread species <em>Sinopotamon yangtsekiense</em> s.l. experienced a deep division in the past that led to the phylogeographical isolation observed today. The two main drivers of genetic isolation in this taxon were (a) differences in the intensity of the monsoons on each side of the QHL boundary during the mid-Pleistocene, and (b) isolation of different populations of <em>S. yangtsekiense</em> s.l. in a number of separate refuges during the LGM.</p>
FIGURE 6 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 6. Beta diversity (β) of Phanaeus within each dominion, segmented by its components (β + β ).
FIGURE 2 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 2. Mean environmental conditions (points) and standard deviation (lines) within each Phanaeus species distribution model sorted by mean altitudinal predicted occurrence.
FIGURE 5 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 5. Occurrence of Phanaeus species in the resulting regionalization, predicted richness and co-occurrence in each dominion. The circle size is the percentage of the predicted species' distribution in each dominion.
FIGURE 7 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 7. Pairwise comparison of Beta diversity of Phanaeus between dominions. The upper panel shows the relative size of β segmented by its components (β + β ). The lower panel shows the value of β . total repl rich total
FIGURE 3 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 3. Potential richness of Phanaeus species obtained by stacking each species Maxent's distribution model, (a) at 30 arc second or by a spatial query (b) at 1° hexagonal cells. This hexagonal grid was used for the regionalization and beta diversity analyses.
FIGURE 4 in Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
FIGURE 4. Regionalization of Phanaeus distribution: Mexican Transition Zone (North American, Mexican, and Mesoamerican dominions) and Neotropical region (Mesoamerican, Pacific, Brazilian and Chacoan dominions).This was obtained from a UPGMA cluster analysis to the result, to produce a dendrogram of the relationship between cells (a) that produced a regionalization (b).
Supplementary material 1 from: Craves JA, Anich NM (2023) Status and distribution of an introduced population of European Goldfinches (Carduelis carduelis) in the western Great Lakes region of North America. NeoBiota 81: 129-155. https://doi.org/10.3897/neobiota.81.97736
Records of European Goldfinches in North America, 2001–2021, by state/province with county totals. Records represent observations, not individual birds. Regions included in the western Great Lakes region are in bold
Supplementary material 2 from: Craves JA, Anich NM (2023) Status and distribution of an introduced population of European Goldfinches (Carduelis carduelis) in the western Great Lakes region of North America. NeoBiota 81: 129-155. https://doi.org/10.3897/neobiota.81.97736
Mapped locations of confirmed breeding European Goldfinches in the western Great Lakes region, 2001–2021
FIGURE 1 in Complementary data on the distribution of Nephus (Nephus) incisus (Har. Lindberg, 1950) (Coleoptera: Coccinellidae) in the Palaearctic and Afrotropical regions
FIGURE 1. Nephus incisus (Algeria): A–C) dorsal views showing variation in elytral pattern; D) antenna; E) tarsus; F) abdomen.
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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.