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.
1,133
datasets available to search
ShareScore release 0.9.0
Dataset results
1,133 results for “Copepod”
Data from: Evaluating species richness using proteomic fingerprinting and DNA-barcoding – a case study on meiobenthic copepods from the Clarion Clipperton Fracture Zone
<p><span>The Clarion Clipperton Fracture Zone (CCZ) is a vast deep-sea region harboring a highly diverse benthic fauna, which will be affected by potential future deep-sea mining of metal-rich polymetallic nodules. Despite the need for conservation plans and monitoring strategies in this context, the majority of taxonomic groups remains scientifically undescribed. However, molecular rapid assessment methods such as DNA-barcoding and Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) provide the potential to accelerate specimen identification and biodiversity assessment significantly in the deep-sea areas. In this study, we successfully applied both methods to investigate the diversity of meiobenthic copepods in the eastern CCZ, including the first application of MALDI-TOF MS for the identification of these deep-sea organisms. Comparing several different species delimitation tools for both datasets, we found that biodiversity values were very similar, with Pielou's Evenness varying between 0.97 and 0.99 in all datasets. Still, direct comparisons of species clusters revealed differences between all techniques and methods, which are likely caused by the high number of rare species being represented by only one specimen, despite our extensive dataset of more than 2000 specimens. Hence, we regard our study as a first approach toward setting up a reference library for mass spectrometry data of the CCZ in combination with DNA-barcodes. We conclude that proteome fingerprinting, as well as the more established DNA-barcoding, can be seen as a valuable tool for rapid biodiversity assessments in the future, even when no reference information is available.</span></p>
NOAA COPEPOD zooplankton biomass
<p><strong>This is a global dataset of standardised zooplankton biomass derived from the Coastal and Oceanic Plankton Ecology, Production, and Observation Database (COPEPOD)</strong>.</p>
Copepod Fish Interaction Database
<p>Taxonomically curated copepod-fish interaction data<br>by Morales-Serna. Original source of the project is the World register of Marine Species (https://doi.org/10.1371/journal.pone.0051629).<br>These data are intended to be distributed with the R package cofid for redistribution and analysis.</p>
Fig. 1 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 1: A) Map of Greece, B) Map of the sampling stations in Kavala's harbour.
Fig. 1 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host
Fig. 1. Prevalence of Lepeophtheirus sp in two size groups of Sciades herzbergii.
Data repository for the paper titled: "The intriguing co-distribution of the copepods Calanus hyperboreus and Calanus glacialis in the subsurface chlorophyll maximum of Arctic seas"
<p>Data and R-code for publication: “The intriguing co-distribution of the copepods <em>Calanus hyperboreus </em>and <em>Calanus glacialis </em>in the subsurface chlorophyll maximum of Arctic seas”.</p> <p> </p> <p>By Moritz S Schmid and Louis Fortier</p> <p> </p> <p>Attached are R data files of copepod lipids, copepod vertical distributions, and chl <em>a </em>profiles, as well as R-code.</p> <p>The following sea ice data was used: Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data, available at : https://nsidc.org/data/nsidc-0051.</p> <p>The following ocean color data was used: MODerate resolution Imaging Spectroradiometer (MODIS), Aqua satellite, available here: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua</p> <p> </p> <p>Regards</p>
Figure 1 in Seasonal variations of abundance and live/dead compositions of copepods in Mersin Bay, northeastern Levantine Sea (eastern Mediterranean)
Figure 1. Locations of the sampling stations.
Figure 8 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 8. Interannual variations of proportional ratio in female, male, and copepodits in autumn.
Figure 2 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 2. Seasonal changes of the sea water temperature and salinity values in the study area.
Figure 1 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 1. Sampling stations.
Figure 5 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 5. Annual mean abundance of D. oculata in autumn.
Figure 1 in Diversity rhythm in pontellid copepods (Pontellidae: Copepoda) from the Covelong coast pre- and post-COVID-19 lockdown, Bay of Bengal
Figure 1. Site of collection—Covelong beach, Chennai.
Marine Planktonic Copepods: Marine Planktonic Copepods- test snapshot, Feb 24, 2021
Razouls C., de Bovée F., Kouwenberg J. et Desreumaux N., 2005-2018. - Diversity and Geographic Distribution of Marine Planktonic Copepods. Sorbonne Université, CNRS. Available at <p></p>http://copepodes.obs-banyuls.fr/en<p></p>
Marine Planktonic Copepods
Razouls C., de Bovée F., Kouwenberg J. et Desreumaux N., 2005-2018. - Diversity and Geographic Distribution of Marine Planktonic Copepods. Sorbonne Université, CNRS. Available at <p></p>http://copepodes.obs-banyuls.fr/en<p></p>Razouls C., de Bovée F., Kouwenberg J. et Desreumaux N., 2005-2018. - Diversity and Geographic Distribution of Marine Planktonic Copepods. Sorbonne Université, CNRS. Available at <p></p>http://copepodes.obs-banyuls.fr/en
Genetic differentiation underlies seasonal variation in thermal tolerance, body size, and plasticity in a short-lived copepod
<p>Organisms experience variation in the thermal environment on several different temporal scales, with seasonality being particularly prominent in temperate regions. For organisms with short generation times, seasonal variation is experienced across, rather than within, generations. How this variation affects the seasonal evolution of thermal tolerance and phenotypic plasticity is understudied, but has direct implications for the thermal ecology of these organisms. Here we document intra-annual patterns of thermal tolerance in two species of Acartia copepods (Crustacea) from a highly seasonal estuary, showing strong variation across the annual temperature cycle. Common garden, split-brood experiments indicate that this seasonal variation in thermal tolerance, along with seasonal variation in body size and phenotypic plasticity, is likely affected by genetic polymorphism. Our results show that adaptation to seasonal variation is important to consider when predicting how populations may respond to ongoing climate change.</p>
Data from: Using DNA barcoding to identify host-parasite interactions between cryptic species of goby (Coryphopterus: Gobiidae, Perciformes) and parasitic copepods (Pharodes tortugensis: Chondracanthidae, Cyclopoida)
<p>Previous work, using morphological characters, identified a generalist copepod parasite (<i>Pharodes tortugensis</i>) at high prevalence on two common gobies (C<i>oryphopterus glaucofraenum</i> and <i>C. dicrus</i>) in the British Virgin Islands (BVI). DNA barcoding subsequently revealed <i>C. glaucofraenum</i> to be three morphologically similar species (<i>C. glaucofraenum</i>, <i>C. venezuelae</i> and <i>C. tortugae</i>), casting doubt on host identities in the BVI and the classification of the parasite as a single species. Mitochondrial cytochrome c oxidase subunit I (COI) data from 67 gobies in the BVI showed that, in addition to <i>C. dicrus</i>, host gobies were a mix of <i>C. glaucofraenum</i> and <i>C. venezuelae,</i> while <i>C. tortugae</i> was unexpectedly absent from the study area. COI data (n = 70) indicated that the copepod infecting all three hosts was a single species, almost certainly <i>P. tortugensis</i>. The pharodes–coryphopterus interaction has a strong impact on host dynamics in the BVI, and a revised understanding of these dynamics must account for any differences among the three newly confirmed hosts in transmission of, and susceptibility to, the shared parasite. No other infected hosts were discovered at our sites, but <i>P. tortugensis</i> is reportedly widespread and infects 12 additional host species elsewhere. Further DNA barcoding is thus needed to test whether <i>P. tortugensis</i> is truly a widespread generalist, or instead represents a group of more specialized cryptic species.</p>
Proteomic spectra of epipelagic copepods
<p><span>We analyzed robustness of species identification based on proteomic composition to data processing and intraspecific variability, specificity and sensitivity of species-markers as well as discriminatory power of proteomic fingerprinting and its sensitivity to phylogenetic distance. Our analysis is based on MALDI-TOF MS data from 32 marine copepod species coming from 13 regions (North and Central Atlantic and adjacent seas). </span>A random forest (RF) model correctly classified all specimens to species level with only small sensitivity to data processing, demonstrating the strong robustness of the method. Compounds with high specificity showed low sensitivity i.e., identification was based on complex pattern-differences rather than on presence of single markers.</p>
Data for "Upward migration of calanoid copepods is driven by high food quality in surface waters in an alpine lake"
<p>In this study, we explored why zooplankton migrated to surface waters at night from the perspective of their physiological characteristics and adaptability to the environment. The calanoid Arctodiaptomus sp. accumulated large amounts of polyunsaturated fatty acids (PUFAs) and astaxanthin, which relieved oxidative stress to fatty acids. The concentrations of lutein, a precursor of astaxanthin synthesis, were highest in surface water, indicating the enhancement of ultraviolet radiation (UVR) to precursor synthesis, which was confirmed by our indoor experiment. The calanoids migrated to surface water at night to obtain high concentrations of lutein and PUFAs from their diets. Relevant data for this study include: the vertical distribution of <em>Arctodiaptomus</em> sp. during the day and at night; concentrations of total astaxanthin, free astaxanthin, astaxanthin esters in <em>Arctodiaptomus</em> sp. at night and during the day; fatty acid concentration and the ratio of SAFAs (saturated fatty acids), MUFAs (monounsaturated fatty acids), and PUFAs in<em> Arctodiaptomus</em> sp. during the day and at night; the carotenoid concentrations in seston at different depth of Lake Heihai during the day and at night; the lutein concentration in seston under UVR and dark treatment; main characteristics of Lake Heihai; fatty acid concentrations and the ratio of SAFAs , MUFAs, and PUFAs of seston in Lake Heihai; the relative abundance of Chlorophytes with the size of greater than 5 μm and 0.2-5 μm in different layers of Lake Heihai; fatty acid concentrations of the calanoids in Fuxian Lake.</p>
Prezygotic reproductive barriers in precopulatory behavior of tidepool copepod species
<p>Complexity in prezygotic mating behavior can contribute to the emergence of sexual incompatibility and reproductive isolation. In this study, we performed behavioral tests with two tidepool copepod species of the genus <em>Tigriopus</em> to explore the possibility of precopulatory behavioral isolation. We found that interspecific mating attempts failed prior to genital contact and that this failure occurred at different behavioral steps between reciprocal pairings. Our results suggest that prezygotic barriers may exist at multiple points of the behavioral process on both male and female sides, possibly due to interspecific differences in mate-recognition cues used at those "checkpoints". While many copepod species are known to show unique precopulatory mate-guarding behavior, the potential contribution of prezygotic behavioral factors to their isolation is not widely recognized. The pattern of sequential mate-guarding behaviors may have allowed diversification of precopulatory communication and contributed to the evolutionary diversity of the <em>Tigriopus</em> copepods.</p> <p>The .xlsx file registered here contains original datasets for Figures 4, 5, 6, and 7 and Table 1 in our manuscript.</p>
Are brackish water copepods susceptible to neonicotinoid pesticides? An experimental assessment across different salinity levels
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.