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Fig. 2 in Chromosome evolution in fishes: a new challenging proposal from Neotropical species
Fig. 2. Scatter-plot of (a, c) diploid number (2n), and (b, d) pg of DNA per haploid nucleus (C-Value), against the phylogenetic position of Actinopterygii families presented by Nelson (2006). Data include all available species (a, b) or exclude possible polyploidy species (c, d). Ellipses with 95% confidence are used as a correlation indicator.
Fig. 1 in Chromosome evolution in fishes: a new challenging proposal from Neotropical species
Fig. 1. Scatter-plot of (a) diploid number (2n) and (b) fundamental number (FN), against the phylogenetic position of Actinopterygii families presented by Nelson (2006) for 103 fish species. Ellipses with 95% confidence are used as a correlation indicator.
Fig. 2 in Chromosomal study of the lenoks, Brachymystax (Salmoniformes, Salmonidae) from the South of the Russian Far East
Fig. 2. Chromosomes of Brachymystax tumensis: a-chromosomal set of the lenok from the Ananjevka river, East sea basin (2n=90, NF=110, cytotype I); b-chromosomal set of fish from the Arsenjevka river, Amur river basin (2n=92, NF=116, cytotype II).
Fig. 1 in Chromosomal study of the lenoks, Brachymystax (Salmoniformes, Salmonidae) from the South of the Russian Far East
Fig. 1. The areals (by Froufe et al., 2008) and (localities of the karyotyped specimens) sampling locations of sharp-snouted, Brachymystax lenok and blunt-snouted, Brachymystax tumensis lenoks for karyotyping: 1-the Vasilkovka river (Russia); 2-the Ananjevka river (Russia); 3- the Arsenjevka river (Russia); 4-the Komissarovka river (Russia); 5-the rivers from Korea; 6-the Luan He river (China); 7-the Amgun and Hor rivers (Russia); 8-the Anuj river (Russia); 9-the Yalu river (China). Grey shading and box-sharp-snouted lenok; left hatch and black circle - blunt-snouted lenok. Black box and circle-our data. White black box and circle-literary data.
Fig. 3 in Chromosomal study of the lenoks, Brachymystax (Salmoniformes, Salmonidae) from the South of the Russian Far East
Fig. 3. Chromosomes of Brachymystax lenok (2n=90, NF=112, cytotype III) from - the Komissarovka river.
Fig. 2 in Evolution of chromosome number in grasshoppers (Orthoptera: Caelifera: Acrididae)
Fig. 2 Male chromosome numbers mapped on the phylogeny of Acrididae constructed by Song et al. (2018). Mapping and ancestral state reconstruction of chromosome number with Mesquite
Fig. 1 Histogram displaying A in Evolution of chromosome number in grasshoppers (Orthoptera: Caelifera: Acrididae)
Fig. 1 Histogram displaying A: the distribution of chromosome numbers across Caelifera and B: chromosome numbers across the different subfamilies of Acrididae. Chromosome numbers are shown as relative frequencies in percent; here, just subfamilies with more than ten records are shown as separated units. Subfamilies with lower sam-
RAD-SEQ LINKAGE MAPPING AND PATTERNS OF SEGREGATION DISTORTION IN SEDGES: MEIOSIS AS A DRIVER OF KARYOTYPIC EVOLUTION IN ORGANISMS WITH HOLOCENTRIC CHROMOSOMES" in Journal of Evolutionary Biology
<p>This a data set from the paper RAD-SEQ LINKAGE MAPPING AND PATTERNS OF SEGREGATION DISTORTION IN SEDGES: MEIOSIS AS A DRIVER OF KARYOTYPIC EVOLUTION IN ORGANISMS WITH HOLOCENTRIC CHROMOSOMES" to be published in Journal of Evolutionary Biology</p>
Y-chromosome and mitochondrial data for the article entitled: "The First Horse Herders and the Impact of Early Bronze Age Steppe Expansions into Asia"
<p>Y-chromosome and mitochondrial data for the article entitled: "The First Horse Herders and the Impact of Early Bronze Age Steppe Expansions into Asia"</p>
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 4. Example of a chromosome structure with permutation coding
<p>Each chromosome found in the population formed in the GA is structurally an equal-length coded series. The chromosomes are made of genes. For coding purposes, binary, permutation, and value coding methods are widely used. In the travelling salesman or other similar VRPs, permutation coding technique is preferred over the other techniques. Using the permutation coding technique, each chromosome found in the population is expressed in terms of the numbers of each stop to be followed in the route, as shown in Figure 4.</p>
CRCN-NE Chromosomes DataSet
<p>This dataset was obtained in partnership with The Biological Dosimetry Laboratory(CRCN-NE) and The Computing Department (DC) of the Rural Federal University of Pernambuco (UFRPE), both located in the city of Recife - Brazil.<br> <br> Here are 74 images of colored metaphases acquired with a Leica microscope. The labeling of these metaphases will also be found, in this case, their expected results. In addition, we used the adaptive thresholding algorithm on this dataset, the result is also found in this file. So, in total are 74 images of colored metaphases and 74 images of segmented metaphases.<br> <br> Finally, cuts of regions of chromosomes and non-chromosomes will be found for both the color image and the segmented image. Being present in the same quantity for both distributions, since they were obtained by the same technique.</p> <ul> <li>Cuttings of chromosome regions occurred using the Python OpenCv library, which swept the labeled image and captured the regions concerning the chromosomes. With these coordinates it was possible to perform the mapping for the colored and segmented images, making the extraction of these areas of interest.</li> <li>The cuts of the regions of non-chromosomes occurred with the aid of the LabelMe tool, in it was carried out the marking of 46 random points in the image. With this tool, it is possible to obtain an xml with the coordinates of these markings, which were used to extract the areas of interest.</li> </ul>
Processed Hi-C contact matrices for "Single-cell DNA replication profiling identifies spatiotemporal developmental dynamics of chromosome organization"
<p>Processed Hi-C interaction matrices (iterative correction) saved in .hic format (40kb bins).</p> <p>.hic files were generated by juicer pipeline using processed Hi-C interaction matrices.</p> <p>Only <em>cis </em>interactions were available.</p> <p>To extract the data, please see </p> <p>https://github.com/aidenlab/juicer/wiki/Data-Extraction</p>
Figure 4 in Chromosomal evolution of the genus Nannospalax (Palmer 1903) (Rodentia, Muridae) from western Turkey
Figure 4. Chromosome banding comparisons between the following chromosomal races: a) 2n = 38 and 2n = 36, b) 2n = 38 and 2n = 60, c) 2n = 40 and 2n = 60, d) 2n = 50W and 2n = 38, e) 2n = 52N and 2n = 60, f) 2n = 54N and 2n = 60K, g) 2n = 56W and 2n = 60, h) 2n = 58N and 2n = 60K, i) 2n = 60 and 60K. Rearrangements in figures were coded as 1 in the analyses.
Figure 6 in Chromosomal evolution of the genus Nannospalax (Palmer 1903) (Rodentia, Muridae) from western Turkey
Figure 6. Geographic distributions of chromosomal races of Nannospalax in western Turkey. In the figure the numbers indicate chromosome number, and the letters indicate the position of the chromosomal races (S: south; N: north; E: east, W: west; Tr: Thrace; C: central).
Figure 3. C in Chromosomal evolution of the genus Nannospalax (Palmer 1903) (Rodentia, Muridae) from western Turkey
Figure 3. C-banding results of the following chromosomal races: a) 2n = 60, b) 2n = 36, c) 2n = 38, d) 2n = 40, e) 2n = 50W, f) 2n = 52N, g) 2n = 54N, h) 2n = 56W, i) 2n = 56Tr, and j) 2n = 58N).
Figure 2 in Comparison of the chromosome banding patterns in Dryomys laniger and D. nitedula from Turkey
Figure 2. Standard karyotypes of Dryomys laniger (1) and Dryomys nitedula (2). Arrows indicate the position of secondary constrictions.
Figure 1 in Comparison of the chromosome banding patterns in Dryomys laniger and D. nitedula from Turkey
Figure 1. Collecting sites of Dryomys laniger (1, 2), and Dryomys nitedula (3) in Turkey. The numbering of sampling localities corresponds to data in the Table. Table. Studied localities of two Dryomys species in Turkey. The numbering of the sampling sites corresponds to data in Figure 1.
Figure 4 in Review of unique odd chromosome-numbered underground rodent species of the Palearctic region: Ellobius lutescens Thomas 1897 (Rodentia: Cricetidae)
Figure 4. Dorsal (a), ventral (b), and lateral (c) views of cranium and lateral view (d) of mandible of an adult male Ellobius lutescens (Dicle University, Faculty of Science, Department of Biology, Zoology Lab. Mammal collection number 741, from 20 km south of Iğdır, Turkey).
Figure 2 in Review of unique odd chromosome-numbered underground rodent species of the Palearctic region: Ellobius lutescens Thomas 1897 (Rodentia: Cricetidae)
Figure 2. Photograph of an adult Ellobius lutescens from Iğdır, Turkey. Photograph by Y Coşkun, collected on 24 April 2013.
Figure 4 in Comparison of the chromosome banding patterns in three species of social voles (Microtus irani karamani, M. schidlovskii, M. anatolicus) from Turkey
Figure 4. Silver-stained karyotypes of M. irani karamani (1), M. schidlovskii (2), and M. anatolicus (3).
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.