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3,292 results for “DNA Barcode”
Figs 1–3 in Morphological redescription and DNA barcoding of Kaluginia lebetiformis Makarchenko, 1987 (Diptera: Chironomidae, Diamesinae) from South Korea
Figs 1–3. Adult male of Kaluginia lebetiformis Makarchenko from South Korea. 1 – total
Figs 4–10 in Morphological redescription and DNA barcoding of Kaluginia lebetiformis Makarchenko, 1987 (Diptera: Chironomidae, Diamesinae) from South Korea
Figs 4–10. Hypopygium of Kaluginia lebetiformis Makarchenko from South Sakhalin (4)
Figs 3–5 in Morphological redescription and DNA barcoding of Monodiamesa kamora Makarchenko et Yavorskaya (Diptera: Chironomidae) from the Amur River basin (Russian Far East)
Figs 3–5. Hypopygium of Monodiamesa kamora (holotype). 3 – total view, from above;
Figs 1–2 in Morphological redescription and DNA barcoding of Monodiamesa kamora Makarchenko et Yavorskaya (Diptera: Chironomidae) from the Amur River basin (Russian Far East)
Figs 1–2. Hypopygium of Monodiamesa kamora (paratype). 1 – total view, from above;
A specimen-level dataset of functional traits and DNA barcodes for Chinese bees
<p>The full potential for using DNA barcodes for profiling functional trait diversity has yet to be determined in plants and animals, thus we outline a general framework for quantifying functional trait diversity of insect community DNA and propose and assess the accuracy of three methods for achieving this. </p> <p>We built a novel dataset of traits and DNA barcodes for wild bees in China. An informatics framework was developed for phylogeny-based integration of these data and prediction of traits for any subject barcodes, and compared to two Blast-based methods of trait assignment. </p> <p>Under the specimen-level dataset, rate and accuracy of trait assigned dropped with an increase in distance between the query and its nearest reference member, though phylogenetic assignment was found to perform best under several criteria. For a wider range of compiled traits, conservative life-history traits showing the highest rates of assignment, for example sociality was predicted with confidence at 53%, parasitism at 44%, and nest location at 33%. </p> <p>Bayesian phylogenetic assignment of traits showed particular advantage over distance-based methods in the much lower rate that it would return incorrect state predictions when the query lacked relatives in the reference data. Automated, taxon-independent trait assignment might be applied at scale to either barcodes or metabarcodes in any invertebrates. With the further generation of integrated barcode and trait data, the assignment accuracy of the method is likely to increase. </p>
Figure 2 in Checklist of Water mites in Mexico. Historical background and DNA barcoding perspectives
Figure 2 Number of species recorded by state in Mexico.
Figure 1 in Checklist of Water mites in Mexico. Historical background and DNA barcoding perspectives
Figure 1 Species richness by family in Mexico.
Fig. 1 in New record of blunthead pufferfish, Sphoeroides pachygaster (Muller & Troschel, 1848) (Tetraodontiformes: Tetraodontidae) from Indian water along with DNA barcode and some biological aspects
Fig. 1 — Sphoeroides pachygaster (Müller & Troschel, 1848) 223 mm TL
Figs 1–2 in MORPHOLOGICAL REDESCRIPTION AND DNA BARCODING OF TORLEYA PADUNICA KAZLAUSKAS, 1963 (EPHEMEROPTERA, EPHEMERELLIDAE) FROM THE EAST PALAEARCTIC REGION
Figs 1–2. Male imago of Torleya padunica, habitus. 1 – lateral view; 2 – dorsal view.
Figs 3–5 in MORPHOLOGICAL REDESCRIPTION AND DNA BARCODING OF TORLEYA PADUNICA KAZLAUSKAS, 1963 (EPHEMEROPTERA, EPHEMERELLIDAE) FROM THE EAST PALAEARCTIC REGION
Figs 3–5. Male imago of Torleya padunica. 3 – fore wing; 4 – hind wing; 5 – fore leg.
Figs 13–14 in MORPHOLOGICAL REDESCRIPTION AND DNA BARCODING OF TORLEYA PADUNICA KAZLAUSKAS, 1963 (EPHEMEROPTERA, EPHEMERELLIDAE) FROM THE EAST PALAEARCTIC REGION
Figs 13–14. Larvae of Torleya padunica, habitus. 13 – dorsal view; 14 – ventral view.
Fig. 35 in MORPHOLOGICAL REDESCRIPTION AND DNA BARCODING OF TORLEYA PADUNICA KAZLAUSKAS, 1963 (EPHEMEROPTERA, EPHEMERELLIDAE) FROM THE EAST PALAEARCTIC REGION
Fig. 35. Eggs of Torleya padunica. The arrows indicate the micropyles.
Data from: Microfluidic Enrichment Barcoding (MEBarcoding): a new method for high throughput plant DNA barcoding
<p>DNA barcoding has become a valuable tool to support species identification with a broad range of applications in fields such as traditional taxonomy, ecology, forensics, food analysis, and environmental science. We introduce Microfluidics Enrichment Barcoding (MEBarcoding) for plant DNA Barcoding, a cost-effective method for high throughput DNA barcoding. MEBarcoding uses the Fluidigm Access Array™ to simultaneously amplify targeted regions for 48 DNA samples and hundreds of PCR primer pairs (a total of 23,040 PCR products) during a single thermal cycling protocol. A second generation instrument from Fluidigm, called the Juno™, can accommodate 192 DNA samples simultaneously. As a proof of concept, we developed a microfluidic PCR workflow using the Fluidigm Access Array™ and Illumina MiSeq to generate new sequences from 96 samples for each of the four primary DNA barcode loci in plants: rbcL, matK, trnH-psbA, and ITS (384 total sequences). This workflow was used to build a reference library that includes 78 families and 96 genera from all major plant lineages, including bryophytes, ferns and lycophytes, gymnosperms, and all major groups of angiosperms, which are currently lacking in public databases. Our results demonstrate that this technique offers a highly efficient alternative method to traditional PCR and Sanger sequencing by increasing the estimated number of plant DNA barcodes that can be sequenced by a single technician in one week by 800%, at a reduced cost, and by generating a barcode library with a more comprehensive taxonomic coverage.</p>
Figure 1 in DNA barcoding of two amphidromous goby postlarvae ('penja') morphotypes from Mandar River, West Sulawesi, Indonesia
Figure 1. – Map of West Sulawesi showing the Mandar River and the study site.
Fig. 1 in DNA barcoding of Euphorbiaceae in Korea
Fig. 1. Relative distributions of Kimura-2-parameter distances across three barcode loci.
Figure 2 in Report on Sicklefin weasel shark Hemigaleus microstoma (Bleeker, 1852) (Carcharhiniformes: Hemigaleidae) from the Andaman Islands, Indian EEZ with DNA barcodes
Figure 2. Hemigaleus microstoma, ZSI/ANRC-12963, 610 mm TL female.
Figure 1 in Report on Sicklefin weasel shark Hemigaleus microstoma (Bleeker, 1852) (Carcharhiniformes: Hemigaleidae) from the Andaman Islands, Indian EEZ with DNA barcodes
Figure 1. Map of the location where specimens of Hemigaleus microstoma were collected.
Figure 1 in DNA barcoding of black cherry aphid Myzus cerasi (Fabricus, 1775) (Hemiptera: Aphididae) populations collected from Prunus avium and Prunus cerasus
Figure 1. Black cherry aphid colonies on the terminal growth of host plant (Denizli, Honaz).
Figure 1 A-B in DNA barcoding and a new taxonomic status of the Triaenodes ochreellus lefkas Malicky, 1974 (Insecta, Trichoptera) with new distribution data
Figure 1 A-B. The River Neretva in Opuzen (left bank).
Data from: Performance of DNA metabarcoding, standard barcoding and morphological approaches in the identification of insect biodiversity
<p>A repository containing the data and R code for the associated manuscript titled "Performance of DNA metabarcoding, standard barcoding and morphological approaches in the identification of insect biodiversity"</p> <p>Created by Romana K. Salis</p> <div> <h2>Content Overview</h2> <a href="https://github.com/rksalis/LNU_insectbarcoding/tree/main#content-overview"></a></div> <div> <h3>Rcode:</h3> <a href="https://github.com/rksalis/LNU_insectbarcoding/tree/main#rcode"></a></div> <p>analysis_070923.R</p> <div> <h3>Data files:</h3> <a href="https://github.com/rksalis/LNU_insectbarcoding/tree/main#data-files"></a></div> <p>literature_search_210624.csv barcoding_datasets.csv - barcoding datasets match category counts for the butterflies, bees and wasps</p> <p>barcoding_VB_thresholds.csv - barcoding datasets match category counts for the vietnamese butterfly with different similarity thresholds</p> <p>barcoding_VB_families.csv - barcoding datasets match category counts for the vietnamese butterfly families</p> <p>vietkordfinal_x.csv - intraspecific similarity and geographic distance</p> <p>vietnam_area.csv - intraspecific similarity and sampling area</p> <p>BINsvSp.csv - number of BINs and morphospecies</p> <p>Metabarcoding_Results_CommonSpecies.csv - metabarcoding results including the species only those also identified by morphology</p> <p>Metabarcoding_Results_BINSpecies.csv - metabarcoding results BIN species</p> <p>Metabarcoding_Results_BINs.csv - metabarcoding results all BINs</p>
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.