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Figure 4 in Historical perspective, new contributions and an enlightening dispersal mechanism for the endogean genus Typhlocharis Dieck 1869 (Coleoptera: Carabidae: Trechinae)
Figure 4. Details of the genitalia of Typhlocharis josabelae sp. nov. (A) Median lobe of aedeagus in left lateral view; (B) median lobe and right paramere in dorsal view; (C) left paramere in left lateral view; (D) right paramere in right lateral view; (E) apodemal ring; (F) right gonocoxite in ventral view of paratype 1; (G) right gonocoxite in ventral view of paratype 2; (H) spermatheca, glandule and conduct. Scale bars: A–D, F–H, 0.05 mm; E, 0.1 mm.
Figure 3 in Historical perspective, new contributions and an enlightening dispersal mechanism for the endogean genus Typhlocharis Dieck 1869 (Coleoptera: Carabidae: Trechinae)
Figure 3. Morphological details of Typhlocharis josabelae sp. nov. (A) Labium and prebasilar; (B) posterior angle of pronotum; (C) left protibia and protarsum in ventral view; (D) last abdominal sternite of male; (E) last abdominal sternite of female. Scale bars: A–C, 0.05 mm; D,E, 0.1 mm.
FIGURE 1 in Parasites of animals in Papua New Guinea recorded at the National Veterinary Laboratory: a catalogue, historical review and zoogeographical affiliations 3143
FIGURE 1. Map of Papua New Guinea showing the 19 provinces and location of places mentioned in the text.
FIGURE 1 in Immature stages of the rose chafers (Coleoptera: Scarabaeidae: Cetoniinae): a historical overview
FIGURE 1. Historical images of immature Cetoniinae; A, B—Cetonia sp. larva (A) and pupa (B); C—Liocola lugubris; D— Cetonia aurata. 1A, B from Gory & Percheron (1833); 1C from Bouché (1834); 1D from Figuier (1867).
Figure 5 in Complete phylogeny and historical biogeography of true rosefinches (Aves: Carpodacus)
Figure 5. Localities of individually checked museum specimens () and genotyped samples (.) of the Carpodacus eos/pulcherrimus complex, encircled by breeding distributions of C. eos (green) and C. pulcherrimus (red), according to BirdLife International and NatureServe (2011).
Figure 1 in Complete phylogeny and historical biogeography of true rosefinches (Aves: Carpodacus)
Figure 1. Breeding distribution of extant rosefinch (Carpodacus) species according to BirdLife International and NatureServe (2011), subdivided into nine areas (A–I), with number of rosefinch species per area and connectivity among areas (Table 4).
Figure 4 in Complete phylogeny and historical biogeography of true rosefinches (Aves: Carpodacus)
Figure 4. Minimum spanning network for the Carpodacus eos/pulcherrimus complex based on cytochrome b alone.
Figure 3 in Complete phylogeny and historical biogeography of true rosefinches (Aves: Carpodacus)
Figure 3. Molecular phylogeny of true rosefinches (Carpodacus) based on cytochrome b sequences reconstructed in BEAST (codon positions partitioned, 10 000 000 generations; for details, see Table 3). At the nodes are posterior probabilities. The sample IDs refer to Table 2.
Figure 2 in Complete phylogeny and historical biogeography of true rosefinches (Aves: Carpodacus)
Figure 2. Molecular phylogeny of true rosefinches (Carpodacus) based on a 3212-bp alignment of up to four genes (for details see Table 3) reconstructed in BEAST (genes and codon positions partitioned, GTR/HKY models, 100 000 000 generations). At the nodes are posterior probabilities (left) and bootstrap values from a RAxML analysis with 1000 bootstrap replicates (right).
Figure 3 in Contemporary genetic structure reflects historical drainage isolation in an Australian snapping turtle, Elseya albagula
Figure 3. Bayesian population assignments for Elseya albagula individuals based on 12 microsatellite loci analysed in STRUCTURE, indicating structure by region and catchment. Individuals are represented by coloured vertical bars, which represent per cent genetic membership (y axis) within genetic units as indicated above each diagram. A, individual differentiation between two regional units (K = 2), and B, further substructuring amongst catchments within the southern region (K = 3). Black lines separate sampling locations, identified below (x axis). B, Burnett, F, Fitzroy; M, Mary.
Figure 2 in Historical demography and spatial genetic structure of the subterranean rodent Ctenomys magellanicus in Tierra del Fuego (Argentina)
Figure 2. Bayesian inference trees of Ctenomys genus. A, tree derived from the D-loop marker. B, tree derived from Cyt b. Numbers next to branches are bootstrap support values and Bayesian posterior probabilities, respectively.
Figure 1 in Historical demography and spatial genetic structure of the subterranean rodent Ctenomys magellanicus in Tierra del Fuego (Argentina)
Figure 1. Geographical distribution of Ctenomys magellanicus sampling sites along the study area. Squares show the two regions: north (steppe, chromosome form 2n = 34) and south (ecotone, chromosome form 2n = 36). Each region was subdivided into subpopulations: two for the north (subpopulations A and B) and four for the south (subpopulations C–F).
Figure 1 in Mitogenomics of the endangered Mediterranean monk seal (Monachus monachus) reveals dramatic loss of diversity and supports historical gene-flow between Atlantic and eastern Mediterranean populations
Figure 1. Sampling sites (number of specimens per location in brackets) with the current Mediterranean monk seal distribution range in green.
Figure 3 in Mitogenomics of the endangered Mediterranean monk seal (Monachus monachus) reveals dramatic loss of diversity and supports historical gene-flow between Atlantic and eastern Mediterranean populations
Figure 3. Mitochondrial genome clades sequenced in our study. A, female monk seal with its pup on Desertas Islands (Madeira); photo credit: Rosa Pires. B, Bayesian phylogeny using the complete mtDNA. Black dots indicate posterior probability values ≥ 0.95. (*) indicates historical specimens. The colours of the bars match the colours used on the network analyses and maps in Figure 2.
FIGURE 15 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 15. Brevipalpus phoenicis female dorsum, venter and deutonymph (after Baker & Tuttle 1987).
Data from: Population responses to a historic drought across the range of the common monkeyflower (Mimulus guttatus)
<p>This dataset contains both metadata and phenotype data for both of the resurrections experiments described in Kooyers et al. 2020. Datasets are uploaded as .csv files. Please read the readme files for descriptions of the data in each .csv file.</p>
Figure 4 in Phylogeny, evolution, and historical biogeography of the grassland leafhopper tribe Chiasmini (Hemiptera: Cicadellidae: Deltocephalinae)
Figure 4. Phylogenetic relationships of Chiasmini (31-taxa analyses) based on ∼3200 bp of 28S rDNA and histone H3 gene regions. The tree is the majority-rule consensus of post burn-in trees from the Bayesian analysis. Bayesian posterior probability (PP) values are given below branches.
Figure 2 in Phylogeny, evolution, and historical biogeography of the grassland leafhopper tribe Chiasmini (Hemiptera: Cicadellidae: Deltocephalinae)
Figure 2. Phylogenetic relationships and distributions of species and species groups of Exitianus intuitively inferred by Ross (1968).
Figure 1 in Phylogeny, evolution, and historical biogeography of the grassland leafhopper tribe Chiasmini (Hemiptera: Cicadellidae: Deltocephalinae)
Figure 1. Distributions of the genera of Chiasmini. Each genus is listed with the number of included species given in parentheses. In cases where the distribution of the genus is different from the indicated area, more specific areas are indicated after the genus name.
Figure 5. A in Phylogeny, evolution, and historical biogeography of the grassland leafhopper tribe Chiasmini (Hemiptera: Cicadellidae: Deltocephalinae)
Figure 5. A summary of the relationships among genera of Chiasmini and head shape morphological diversity. The tree was drawn manually, and incorporates information from several different analyses; relative branch lengths reflect those recovered in molecular analyses. The relationships of Omaranus, Picchusteles, and Paraphrodes with the rest of Chiasmini have yet to be satisfactorily assessed because of the limited available data for these groups. Dorsal, frontal, and lateral views of the head of 13 Chiasmini are provided: A, Omaranus typicus Distant, 1918; B, Picchusteles inca Linnavuori & DeLong, 1976; C, Paraphrodes flavigerus (Evans, 1955); D, Exitianus obscurinervis (Stål, 1859); E, Protochiasmus mysticus Zahniser, 2010; F, Doraturopsis heros (Melichar, 1902); G, Zahniserius cylindricus Duan & Zhang, 2012; H, Chiasmus varicolor (Kirkaldy, 1906); I, Listrophora styx Linnavuori, 1979; J, Gurawa minorcephala Singh-Pruthi, 1930; K, Athysanella (Brachydella) abdominalis Ball & Beamer, 1940; L, Athysanella (Diphipyga) mexicana Johnson, 1979; M, Athysanella (Athysanella) parca Ball & Beamer, 1940.
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.