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419 results for “capture data”
Data from: Diversity and population structure of northern switchgrass as revealed through exome capture sequencing
Switchgrass (Panicum virgatum L.) is a polyploid, perennial grass species that is native to North America, and is being developed as a future biofuels feedstock crop. Switchgrass is present primarily in two ecotypes: a northern upland ecotype composed of tetraploid and octoploid accessions, and a southern lowland ecotype composed of primarily tetraploid accessions. We employed high-coverage exome capture sequencing (~2.4 Tb) to genotype 537 individuals from 45 upland and 21 lowland populations. From these data, we identified ~27 million single nucleotide polymorphisms (SNPs), of which 1,590,653 high confidence SNPs were used in downstream analyses of diversity within and between the populations. From the 66 populations, we identified five primary population groups within the upland and lowland ecotypes, a result that was further supported through genetic distance analysis. We identified conserved, ecotype restricted non-synonymous SNPs that are predicted to impact protein function in genes that encode CONSTANS (CO) and EARLY HEADING DATE 1 (EHD1), key genes involved in flowering which may contribute to the phenotypic differences between the two ecotypes. We also identified, relative to the near-reference Kanlow population, 17,228 up-copy number variants (CNVs), 112,630 down-CNVs, and 14,430 presence/absence variants (PAV) impacting a total of 9,979 genes, including two upland-specific CNV-clusters. In total, 45,719 genes were impacted by a SNP, CNV, or a PAV across the panel providing a firm foundation to identify functional variation associated with phenotypic traits of interest for biofuel feedstock production.
Data for "Capturing variation in metagenomic assembly graphs with MetaCortex".
<p>Data for paper "Capturing variation in metagenomic assembly graphs with MetaCortex". Includes all assemblies, simulated reads, and simulated genomes.</p>
Data set of 1,275 images capturing interactions between flies and blooming flowers
<p>The dataset presented is a collection of 1,275 images capturing interactions between flies and blooming flowers. The images were sourced from internet repositories through searches conducted between August 2016 and August 2020, using the Google Chrome v. 33.x web browser. Internet searches focused on Google Images and three major social media platforms: Flickr, Instagram, and agefotostock. Photographs were taken by photographers worldwide and uploaded to these platforms, forming the basis of the dataset. The data encompasses various taxonomic and ecological information for both the flies and the flowers depicted in the images. For each image, detailed taxonomic information was recorded for the flies, including their suborders (Nematocera and Brachycera, grouped as Higher/Lesser), Family (wherever possible, distinguishing between Syrphidae and non-Syrphidae), and Genus and species (if available). Further characterization of the flies included recording their sex (identified based on morphology), feeding status (identified by visible proboscis extension into the flower), and the presence or absence of pollen particles on their bodies. Similarly, for each image, taxonomic information was collected for the flowers, including their Family and Genus and species (when identifiable). Flowers were categorized by petal color, which was grouped into four main categories based on the visible spectrum wavelength: purple to blue (ranging from 380-520 nm), green to yellow (ranging from 520-590 nm), orange to red (ranging from 590-740 nm), and white. Additionally, flowers were classified based on their shape, with four main categories: elongate cluster, round cluster, composite-shaped, or simple-shaped. To complement the taxonomic and morphological information, the dataset includes additional data for each image, such as web links to the original sources, geographic locations where the images were captured, and the date of image acquisition. This dataset offers a valuable resource for studying fly-flower interactions on a broad scale, using photographs contributed by photographers from around the world. </p>
Data from: Genomic-scale capture and sequencing of endogenous DNA from feces
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Data from: Mitochondrial capture enriches mito-DNA 100 folds enabling PCR-free mitogenomics biodiversity analysis
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Data from: Optimizing techniques to capture and extract environmental DNA for detection and quantification of fish
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Data from: Drone‐based structure‐from‐motion photogrammetry captures grassland sward height variability
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Data assessing survival variation between capture methods in white-tailed deer
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Data from: Next-generation museum genomics: phylogenetic relationships among palpimanoid spiders using sequence capture techniques (Araneae: Palpimanoidea)
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Data from: Targeted sequence capture and resequencing implies a predominant role of regulatory regions in the divergence of a sympatric lake whitefish species pair (Coregonus clupeaformis)
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Data from: A dedicated target capture approach reveals variable genetic markers across micro- and macro-evolutionary time scales in palms
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Data from: Estimating fish abundance and biomass from eDNA concentrations: variability among capture methods and environmental conditions
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Data from: Comparison of photo-matching algorithms commonly used for photographic capture-recapture studies
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Data from: Phylogenomics of phrynosomatid lizards: conflicting signals from sequence capture versus restriction site associated DNA sequencing
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Raw data associated with the article: "Single-molecule DNA sequencing of widely varying GC-content using nucleotide release, capture and detection in microdroplets.", NAR, Puchtler et.al.
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Data from: Environment-dependent prey-capture in the Atlantic mudskipper (Periophthalmus barbarus)
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Data from: Sequence capture versus restriction site associated DNA sequencing for shallow systematics
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Data from: Modularity and rates of evolutionary change in a power-amplified prey capture system
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Data from: Turbulence induces metabolically costly behaviors and inhibits food capture in oyster larvae, causing net energy loss
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Data from: Clearing muddied waters: capture of environmental DNA from turbid waters
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.