Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Chrysaora quinquecirrha”
Data from: Diet assessment of the Atlantic Sea Nettle Chrysaora quinquecirrha in Barnegat Bay, New Jersey, using next-generation sequencing
Next generation sequencing (NGS) methodologies have proven useful in deciphering the food items of generalist predators, but have yet to be applied to gelatinous animal gut and tentacle content. NGS can potentially supplement traditional methods of visual identification. Chrysaora quinquecirrha (Atlantic sea nettle) has progressively become more abundant in Mid-Atlantic United States' estuaries including Barnegat Bay (New Jersey), potentially having detrimental effects on both marine organisms and human enterprises. Full characterization of this predator's diet is essential for a comprehensive understanding of its impact on the food web and its management. Here we tested the efficacy of NGS for prey item determination in the Atlantic sea nettle. We implemented a NGS "shotgun" approach to randomly sequence DNA fragments isolated from gut lavages and gastric pouch/tentacle picks of 8 and 84 sea nettles, respectively. These results were verified by visual identification and co-occurring plankton tows. Over 550,000 contigs were assembled from ~110 million paired-end reads. Of these, 100 contigs were confidently assigned to 23 different taxa, including soft bodied organisms previously undocumented as prey species, including copepods, fish, ctenophores, anemones, amphipods, barnacles, shrimp, polychaete worms, flukes, flatworms, echinoderms, gastropods, bivalves, and hemichordates. Our results not only indicate that a "shotgun" NGS approach can supplement visual identification methods, but targeted enrichment of a specific amplicon/gene is not a prerequisite for identifying Atlantic sea nettle prey items.
Data from: Diet assessment of the Atlantic Sea Nettle Chrysaora quinquecirrha in Barnegat Bay, New Jersey, using next-generation sequencing
Open the record for dataset details and reuse information.
High-quality genome assembly of Chrysaora quinquecirrha provides insights into the adaptive evolution of jellyfish
Open the record for dataset details and reuse information.
Chrysaora quinquecirrha high-continuity genome annotation data
<p><span>The Atlantic sea nettle (<i>Chrysaora quinquecirrha</i>) has a key evolutionary position due to its high ecological value. However, the published <i>C.quinquecirrha</i>genome assembly is very fragmented, due to limited sequencing technologies and the complicated jellyfish genomic sequence. Here, we used the most advanced high-through chromosome conformation capture technology to get high-coverage sequencing data of the <i>C.quinquecirrha </i>genome. Then we anchored these data to the previously published contig-level genome assembly to improve its genome. Finally, a high-continuity genome sequence of <i>C.quinquecirrha</i> was successfully assembled, which contained 1,882scaffoldswith a N50 length of 3.83 Mb. The N50 length of this version of the genome assembly is 5.23 times longer than the previously released one, and additional analysis revealed that it has a high degree of genomic continuity and accuracy. Acquisition of the high-continuity genome sequence of <i>C.quinquecirrha </i>not only provides a basis for the study of evolution in jellyfishes through comparative genomics, but will also provide an important resource for studies on its growth and development.</span></p>
Chrysaora quinquecirrha high-continuity genome annotation data
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.