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15,023 results for “differentiation;”
Fig. 3 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 3 Dated species tree demonstrating the phylogenetic relationships of the different island populations calculated with *BEAST compared to the outgroup species Andrena enslinella, A. subopaca, A. minutuloides, and A. semilaevis (all Micrandrena); dating is based
Fig. 6 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 6 Correlation of genetic distance (ΦST) and A squared Mahalanobis distance of morphometric data (r2= 0.18) and B Euclidian distance of qualitative morphological data (r2= 0.12)
Fig. 1 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 1 Location of the Azores, the Archipelago of Madeira, the Selvagens Islands, the Canary Islands, and Cape Verde (a). Close view to the islands of the Madeira Archipelago (b) and the Western Canary Islands (below, right) (c). Tenerife is characterised by the regions of Anaga, Teno, Las Cañadas/Teide, and Dorsal Rift. The taxa of the A. wollastoni group (Kratochwil, 2020) and the centres of their distri-
Einstellungen zur Inklusion - Semantisches Differential
<p>Zur Erfassung von Einstellungen zur Inklusion habe ich ein semantisches Differential konstruiert. Der Itempool (Item entspricht einem Adjektivpaar) besteht aus teilweise neu konstruierten oder bewährten Items (Hofstätter, 1970; BdW, 1977). In einer Pilotstudie wurden 68 Adjektivpaare Studierenden verschiedener Lehrämter vorgelegt. Nachdem ungeeignete Items entfernt wurden, haben wir trennscharfe Items unterschiedlicher Schwierigkeit ausgewählt. Die Datei enthält die 31 geeignetsten Items. Es ergibt sich die klassische Dreifaktorenstruktur. In unseren Studien haben wir eine 7-stufige Ratingskala genutzt.</p>
Epigenome-wide analysis reveals specific DNA hypermethylation of T cells during human hematopoietic differentiation
<p>Epigenetic regulation plays an important role in cellular development and differentiation. A detailed map of the DNA methylation dynamics that occur during cell differentiation would contribute to decipher the molecular networks governing cell fate commitment. In this study we used the most recent Illumina MethylationEPIC Beadchip platform to describe the genome-wide DNA methylation changes observed throughout hematopoietic maturation by analyzing multiple hematopoietic cell types at different developmental stages.</p>
Feature count data for Love et al. 2019 analysis for "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper
<p>Feature count data for Love et al. 2019 analysis used in the "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper. For reproducing the analyses and figures using the <a href="https://github.com/Oshlack/ec-dtu-paper/">ec-dtu-paper</a> code.</p> <p>Contains:</p> <ul> <li>Equivalence class count matrix for all 24 samples (using counts from Salmon)</li> <li>Salmon quantification results for all 24 samples</li> <li>Exon counts for all 24 samples using DEXSeq-count</li> </ul>
Table S1 for "Lowermost mantle anisotropy beneath Africa from differential SKS-SKKS shear-wave splitting"
<p>SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field ‘category(SplitRacer)’ are based on SplitRacer’s quality criteria: good, average, null-measurement, with our addition of the category ‘fair null-measurement’ for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field ‘Individual category’ has the following values: 0=null-measurement; 1=very good (phi error < 30°; dt error 0.75 s); 2= good (phi error >30°; < 60°, dt error > 0.75 s; <1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 & 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).</p>
Human-specific tandem repeat expansion and differential gene expression during primate evolution
<p>THIS DATASET IS PART OF THE FOLLOWING STUDY:<br> <a href="https://www.pnas.org/content/early/2019/10/22/1912175116">https://www.pnas.org/content/early/2019/10/22/1912175116</a></p> <p> </p> <p>THE RAW SEQUENCING 10x GENOMICS READS CAN BE DOWNLOADED FROM SRA:<br> <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA593056">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA593056</a></p> <p><br> ORIGINAL UPLOAD: 09/06/2019</p> <p>UPDATES: 10/28/2019; 01/27/2020</p> <p>DESCRIPTION: Contigs were assembled using Phased-SV (<a href="https://www.nature.com/articles/s41467-018-08148-z">Chaisson et al, Nature Communications 2019</a>) on six human haplotypes (i.e., H0 and H1 in NA19240, HG00514, and HG00733), and six nonhuman haplotypes (this study, H0 and H1 in Clint the chimpanzee, Kamilah the gorilla, and Susie the orangutan). The long read data (PacBio CLR) from NHPs were phased into haplotypes H0 and H1 using linked reads from 10X Genomics prior to assembly, whenever possible. If not possible (e.g., in the case of long runs of homozygosity regions), long reads from both haplotypes were used to generate a "squished assembly". Using human haplotype data, we identified 21,442 polymorphic STRs/VNTRs, followed by a targetted phasing of these regions in the three NHPs. All of the human and nonhuman primate contigs were padded by 2 kbp both upstream and downstream, followed by mapping against the human reference (GRCh38). We did the same for "squished assemblies" from a Yoruban individual, CHM13, and three NHPs as described in <a href="https://science.sciencemag.org/content/360/6393/eaar6343">Kronenberg et al, Science 2018</a>. The BAM and BAI files in this dataset contain the alignment of all these contigs against GRCh38.</p>
Figure 11 in Pleistocene population differentiation in the ant Myrmica scabrinodis (Hymenoptera: Formicidae) - a taxonomic borderline case
Figure 11. Discriminant values separating the western (white rhombs) and eastern population (black dots) of Myrmica scabrinodis showing a strong morphological convergence in the allopatric range. Geographic longitude in logarithmic scale.
Figure 4 in Pleistocene population differentiation in the ant Myrmica scabrinodis (Hymenoptera: Formicidae) - a taxonomic borderline case
Figure 4. View along the axis of scape with definition of standard viewing positions and the slope angle of basal scape lobe.
Fig. 2 in Differentiation of Trichuris species using a morphometric approach
Fig. 2. Factor map corresponding to adult Trichuris sp. females derived from four different host primate species (Macaca sylvanus, Pan troglodytes, Colobus guereza kikuyensis, Papio ursinus) and the pig (Sus scrofa domestica) from zoos and abattoirs, respectively, in Spain. Samples are projected onto the first (PC1, 61%) and second (PC2, 35%) principal components. Each group is represented by its perimeter. Circles represent the centroid in each community.
Fig. 1 in Differentiation of Trichuris species using a morphometric approach
Fig. 1. Factor map corresponding to adult Trichuris sp. males derived from different host primate species (Macaca sylvanus, Pan troglodytes, Colobus guereza kikuyensis, Papio ursinus) and the pig (Sus scrofa domestica) from zoos and abattoirs, respectively, in Spain. Samples are projected onto the first (PC1, 64%) and second (PC2, 29%) principal components. Each group is represented by its perimeter. Circles represent the centroid in each community.
Fig. 1 in Helminths in common eiders (Somateria mollissima): Sex, age, and migration have differential effects on parasite loads
Fig. 1. Distributions of breeding and wintering populations of S. m. borealis, S. m. dresseri, and S. m. sedentaria in North America and Greenland. Populations of S. m. borealis are wintering in two areas in the pictured region; one in Southwest Greenland and one in East Canada (Newfoundland and Labrador). Individuals wintering in Southwest Greenland migrate to breed in West Greenland or Arctic Canada, whereas individuals wintering in East Canada have breeding areas in Arctic Canada (illustrated by the different direction of the red diagonal lines). For S. m. dresseri the breeding and wintering ranges overlap in one area that covers Newfoundland and Labrador as well as the northeastern part of the US, as shown by the grey horizontal lines. The subspecies S. m. sedentaria has its year-round residence in the Hudson Bay area as shown by the blue vertical lines. Dark stars mark the sampling locations of eiders in this study, whereas the white star marks the sampling location of eiders by Tourangeau et al. (2018). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Host biology and environmental variables differentially predict flea abundances for two rodent hosts in a plague-relevant system
Fig. 3. Cumulative distribution plots divided by year for (A) T. alpinus and (B) T. speciosus. For each species 2013 is shown in red, 2014 in teal, 2015 in pink. The x-axis represents each host individual, ordered from least to most flea infested, and the y-axis shows the cumulative proportion of total flea counts. The dotted line indicates individuals in the 90th percentile of flea abundances, illustrating that the top 10% most infected chipmunks usually account for close to 50% of all counted fleas. The proportion of individuals without fleas in each year is represented graphically as the proportion at which each colored line departs from the x-axis. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Host biology and environmental variables differentially predict flea abundances for two rodent hosts in a plague-relevant system
Fig. 4. Relationships between fecal glucocorticoid metabolite levels, sex, and flea abundance for (A) T. alpinus and (B) T. speciosus. Points show the mean ± S.E. number of fleas counted for female (white) and male (black) individuals within FGM categories (FGM values were rounded to the nearest 10). Lines of best fit (based on all raw data points) ± 95% confidence intervals are overlaid for each sex.
Fig. 2 in Host biology and environmental variables differentially predict flea abundances for two rodent hosts in a plague-relevant system
Fig. 2. Patterns of flea abundance across years, hosts, and flea species. Overall average flea abundances (A–B) and abundances of each flea species (C–D) in each year for T. alpinus (A, C) and T. speciosus (B, D). Abundances of each flea species on hosts of each sex (Males: closed circles, Females: open circles) on T. alpinus (E) and T. speciosus (F).
Fig. 5 in Host biology and environmental variables differentially predict flea abundances for two rodent hosts in a plague-relevant system
Fig. 5. Relationships between flea abundances and (A) the second principal component of temperature data; or (B) elevation for T. alpinus (white) and T. speciosus (black). Points show the mean ± S.E. number of fleas counted for a given study site in a given year. For each study site in each year, a mean ± S.E. temperature or elevation value is shown. Lines of best fit (based on all raw data points) ± 95% confidence intervals are overlaid for each species.
Fig. 1 in Host biology and environmental variables differentially predict flea abundances for two rodent hosts in a plague-relevant system
Fig. 1. Map showing study sites. Sites (see Supplementary Data S1 for more information) located in and around Yosemite National Park (green) were visited either in all three years (2013, 2014, and 2015; black), in two of the years (yellow), or in only one year (red). Yellow and black lines show significant roadways in the area. Lakes are shown in blue, including Mono Lake at top right. Inset shows Yosemite National Park (green) on a map of California. Site codes: AL: Arrowhead Lake; CL: Cathedral Lake (upper); GA: Glen Aulin; GL: Gaylor Lakes; HC: Hoffmann Creek; MA: Mammoth Lakes; ML: May Lake; PC: Porcupine Creek; SL: Saddlebag Lake; SLN: Saddlebag Lake, north-side (Greenstone and Steelhead Lakes); TM: Tuolumne Meadows. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Helminths in common eiders (Somateria mollissima): Sex, age, and migration have differential effects on parasite loads
Fig. 3. Prevalences of the cestodes Lateriporus sp. (A) and Microsomacanthus spp. (B), and the acanthocephalan Profilicollis sp. (C) in common eiders. Abbreviations: bor, CD = S. m. borealis, Cape Dorset; bor, GRLD = S. m. borealis, Greenland; bor, NFLD = S. m. borealis, Newfoundland; dre, NFLD = S. m. dresseri, Newfoundland; sed, BI = S. m. sedentaria [data published in Tourangeau et al. (2018)]. n-m = non-migratory, po-m = post-migratory, prm = pre-migratory. Letters describe significant differences between groups: if two groups share a letter, there is no significant difference in their prevalences.
Fig. 2 in Helminths in common eiders (Somateria mollissima): Sex, age, and migration have differential effects on parasite loads
Fig. 2. Examples of gastrointestinal parasites retrieved from common eiders in this study. (A) The trematode Notocotylus sp., (B) the cestode Lateriporus sp., (C) the acanthocephalan, Profilicollis sp. (D) microphallid trematodes, and (E) Microsomacanthus spp. cestodes.
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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.