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Fig. 9 in Altitudinal Variation In Population Density, Body Size And Morphometric Structure In C A R A B U S O D O R At U S S H I L, 1996 (C O L E O P T E R A: Carabidae)
Fig. 9. Results of each trait variation in C. odoratus at different altitudes.
Figure 1 in Unveiling the genetic diversity of bicolored-spined porcupines (Rodentia: Erethizontidae): a novel karyotype, population structuring, and evolutionary insights
Figure 1. Map of part of South America with collecting localities of C. bicolor specimens with sequences on the GenBank (Black circles), generated in the present study (triangle), others register of occurrences (white circles), and type locality (star). Gray area represents the Amazon Biome. ARG = Argentina, BOL = Bolivia, BRA = Brazil, PER = Peru.
Figure 4 in Unveiling the genetic diversity of bicolored-spined porcupines (Rodentia: Erethizontidae): a novel karyotype, population structuring, and evolutionary insights
Figure 4. Topology of median joining on top of the map showing the current separation of C. bicolor populations by the rivers Ucayali and Beni/Madre de Dios. Circles are haplotypes and its dimension are proportional to the number of shared sequences. Numbers in the segments connecting the circles are nucleotide substitutions and black circle is the median vector. For haplotypes localities see figure 2. BOL = Bolivia, BRA = Brazil, PER = Peru.
Figure 3 in Unveiling the genetic diversity of bicolored-spined porcupines (Rodentia: Erethizontidae): a novel karyotype, population structuring, and evolutionary insights
Figure 3. Maximum likelihood phylogenetic tree. Symbols near nodes represent Bootstrap values: black circles (90-100%), white circles (80-89%), white squares (70-79%), black square (66%). BOL = Bolivia, BRA = Brazil, COL = Colombia, ECU = Ecuador, GUF = French Guiana, MEX = Mexico, PAR = Paraguay, PER = Peru.
Figure 2 in Unveiling the genetic diversity of bicolored-spined porcupines (Rodentia: Erethizontidae): a novel karyotype, population structuring, and evolutionary insights
Figure 2. Conventional stained karyotypes of Coendou (Sphiggurus) bicolor male LBCE21287 (above) and female LBCE21289 (below) from Brazilian Acre state with 2n = 52 and FN = 82. The X and Y are sexual chromosomes.
Fig. 1 in On the sex and age structure of the Stone Marten (Martes foina) population from Sarnena Sredna Gora Mts. (Central Bulgaria)
Fig. 1. Sex-age classes of Stone Marten population from Central Bulgaria, %.
Figure 6 in Infraspecific genetic variation and population structure of Salvia nemorosa L. (Lamiaceae) in Iran
Figure 6. UPGMA tree of the studied populations based on Nei's genetic distance.
Figure 5 in Infraspecific genetic variation and population structure of Salvia nemorosa L. (Lamiaceae) in Iran
Figure 5. STRUCTURE plot of the studied populations of S. nemorosa based on k = 7 of ISSR results.
Figure 7 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 7: The Relative Surface Density per sampling in the two study sites.
Figure 2 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 2: A scorpion marked in the first somite of the mesosoma (November 2001 in Crete).
Figure 4 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 4: The population density at the two sites.
Figure 1 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 1: Map showing the location of the two study sites in Greece.
Figure 5 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 5: The proportion of marked scorpions per sampling.
Figure 3 in The population structure of Mesobuthus gibbosus (Scorpiones: Buthidae) on Koufonisi Island (central Aegean Archipelago, Greece)
Figure 3: The population per sampling.
Figure 6 in The population structure of Mesobuthus gibbosus (Scorpiones: Buthidae) on Koufonisi Island (central Aegean Archipelago, Greece)
Figure 6: The Relative Surface Density per sampling.
Figure 5 in The population structure of Mesobuthus gibbosus (Scorpiones: Buthidae) on Koufonisi Island (central Aegean Archipelago, Greece)
Figure 5: The number of animals joining/leaving the population from one sampling to the next.
Figure 4 in The population structure of Mesobuthus gibbosus (Scorpiones: Buthidae) on Koufonisi Island (central Aegean Archipelago, Greece)
Figure 4: The proportion of marked scorpions per sampling.
Figure 2 in The population structure of Mesobuthus gibbosus (Scorpiones: Buthidae) on Koufonisi Island (central Aegean Archipelago, Greece)
Figure 2: Northern (top) and western (bottom) view of the study site at Pori bay.
Figure 3 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 3. Results of AMOVA analysis among and within the studied populations.
Anthropogenic pressures drive population genetic structuring across a Critically Endangered lemur species range
<p>Includes initial input landscape surfaces (.acs) and final resistance surfaces (.out) generated during the current study.</p>
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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.