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3,292 results for “DNA Barcode”
FIGURE 5 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 5. Hidden sterna of Anthidium melanopygum (A, C) and A. spiniventre (B, D). A–B: S7; C–D: S8.
NK cell cytotoxicity shapes the clonal evolution of B cell leukemia [DNA barcoding]
GEO Series GSE278011. Mus musculus. 298 samples. Type: Other.
Optics-free reconstruction of shapes, images and volumes with DNA barcode proximity graphs
GEO Series GSE313591. synthetic construct. 9 samples. Type: Other.
Multiplex 5mC Marker Barcode Counting (MMBC-seq): A sensitive detection method for cell-free DNA methylation
GEO Series GSE124775. Homo sapiens. 198 samples. Type: Methylation profiling by high throughput sequencing.
Figure 1 in DNA Barcodes Reveal High Genetic Diversity in Philippine Fruit Bats
Figure 1. Map showing the collection sites of specimens in this study.
Molecular identification of Bactrocera passiflorae (Diptera: Tephritidae): challenge and solution for DNA barcoding
<p>Fruit flies cause significant damage to crop and fruit production worldwide. Therefore it is essential to identify these organisms to species level, however, immature stages are often impossible to be identified morphologically, thus the application of DNA barcoding has greatly assisted in species identification. Nuclear, mitochondrial pseudo-COI (NUMT) can be co-amplified with mitochondrial DNA when using generic primers and therefore impair the efficacy of DNA barcoding. This study detected two types of NUMTs from<em> B. passiflorae, </em>one of them is novel. Therefore the new finding will assist future species identification by avoiding misidentification using ambiguous NUMT sequences. In addition, this study have developed primers to target the COI gene of <em>B. passiflorae</em>, not the NUMT copies. The newly designed primers have demonstrated its efficiency in amplifying the Mt-COI of <em>B. passiflorae </em>and can be used in routine diagnostics.</p>
FIGURE 2 in A new species of the endemic Madagascan scarab beetle genus, Madecorphnus grebennikovi (Coleoptera: Scarabaeidae: Orphninae): morphological description and DNA barcode
FIGURE 2. Locality map of Madecorphnus Paulian, 1992 species in northern Madagascar.
BarcodeFinder: all-in-one solution for discovering novel DNA barcodes
<p>The test results of BarcodeFinder.</p>
FIGURE 1 in One new species and one new record for the genus Mesogastrura (Collembola, Hypogastruridae) from Korean caves, with DNA barcodes
FIGURE 1. Collecting sites of Mesogastrura from South Korea.
SRiD- A facile DNA barcode generation and management system for high throughput screening
GEO Series GSE67441. synthetic construct. 1 samples. Type: Other.
Single-cell gene expression profile and TyP-HIM-seq DNA barcode level of CD19 CAR-Jurkat and Ramos cells
GEO Series GSE263590. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Re-evaluating the genetic variation of the COI gene of Insecta: Implications for DNA barcoding, metabarcoding and species delimitation studies
<p>To analyze the genetic variation of the <i>cytochrome c oxidase subunit I</i> (<i>COI</i>) gene of Insecta, the <i>COI</i> data of Insecta was downloaded from GenBank and the intraspecific Kimura-2 -parameter (K2P) distance of 40,782 species was calculated (each species with three or more sequences). Our result indicated that the maximum intraspecific genetic distance of 8,928 (21.89%) species was over 3%. Using a threshold of 3% in the clustering analysis, 7,123 (17.47%) species can be divided into two or more clusters. We also analyzed 3,189 genera with over three species (25,283 species) and found that the optimal thresholds for these genera ranged from 0.1%-15.7% (average value: 0.03531, median value: 0.02900). In clustering analysis, if the threshold values were set to 0.01, 0.02, 0.022, and 0.03, the numbers of clusters were 39,860, 31,024, 29,954, and 26,527, respectively. In metabarcoding studies, a threshold of 0.03 was recommended to estimate the species diversity of insects in a certain environment. However, using the empirical thresholds mentioned above for operational taxonomic unit (OTU) picking, the average match ratios of the 3,189 genera were 0.5137, 0.6338, 0.6440, and 0.6587. By contrast, if the possible thresholds from the distance matrix, the minimum interspecific genetic distance of congeneric species, and the optimal thresholds were used in clustering analysis, the average match ratios of them were 0.6626 0.7530, and 0.7549. Herein, we recommended the utilizations of the minimum interspecific genetic distance (when it was greater than or equal to 2%) and the optimal thresholds for OTU picking in DNA barcoding and species delimitation studies based on the <i>COI</i> gene of insects.</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.