Skip to main content
Powered by ShareScore

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.

13

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

13 results for “Pelagic Tunicate”

Learn how ShareScore rates datasets ↗
zenodo44/100

Pelagic Tunicates of the Santos Basin

<p>The data are part of the Environmental Characterization Project of the Santos Basin, funded by Petrobras. They were collected through stratified oblique trawls using a net with a mesh size of 200 micrometers, from the surface to depths of up to 2400 meters throughout the Santos Basin. A total of 29 species of pelagic tunicates from both classes of the group (Appendicularia and Thaliacea) were found. These data were published in the journal <em>Marine Biodiversity</em> under the DOI: <a href="https://doi.org/10.1007/s12526-024-01494-w" target="_new" rel="noopener">https://doi.org/10.1007/s12526-024-01494-w</a>.</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Data for Global ecological and biogeochemical impacts of pelagic tunicates

<p>Model results and observational validation data for &quot;Global ecological and biogeochemical impacts of pelagic tunicates.&quot;&nbsp;</p> <p>&nbsp;</p> <p>Model outputs&nbsp;for 1) the COBALTv2 control simulation, 2) the GZ-COBALT base simulation, and the five sensitivity experiments in the following files:</p> <p>&nbsp;</p> <p>Model grid and area fields</p> <ul> <li><em>ocean_annual_static.nc</em></li> <li><em>ocean_static.nc</em></li> </ul> <p>&nbsp;</p> <p>Monthly ocean surface fields</p> <ul> <li>Nitrate, phosphate, silica, chlorophyll</li> <li><em>[expt]_ocean_cobalt_omip_sfc.1988-2007.clim.tar.gz</em></li> </ul> <p>&nbsp;</p> <p>Monthly water column integrated fields</p> <ul> <li>primary production</li> <li><em>[expt]_ocean_cobalt_omip_2d.1988-2007.clim.tar.gz</em></li> </ul> <p>&nbsp;</p> <p>Monthly 100-m integrated tracer fields</p> <ul> <li>Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria</li> <li>Dissolved organic nitrogen</li> <li>Nitrogen detritus</li> <li><em>[expt]_ocean_cobalt_tracers_int.1988-2007.clim.tar.gz</em></li> </ul> <p>&nbsp;</p> <p>Monthly 100-m integrated fluxes</p> <ul> <li>Production of: <ul> <li>Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria</li> </ul> </li> <li>Loss to zooplankton from: <ul> <li>Small and large phytoplankton, diazotrophs, bacteria, small and medium zooplankton, small and large tunicates</li> </ul> </li> <li>Aggregation loss from: <ul> <li>Small and large phytoplankton, large tunicates</li> </ul> </li> <li>Injestion by: <ul> <li>Small, medium, and large zooplankton, small and large tunicates, higher predators</li> </ul> </li> <li>Detritus production by: <ul> <li>Small, medium, and large zooplankton, small and large tunicates, higher predators</li> </ul> </li> <li><em>[expt]_ocean_cobalt_fluxes_int_1988-2007.clim.tar.gz</em></li> </ul> <p>&nbsp;</p> <p>Monthly detritus fluxes past 100-m:</p> <ul> <li><em>[expt]_ocean_cobalt_fdet_100.1988-2007.clim.tar.gz</em></li> </ul> <p>&nbsp;</p> <p>Annual 3-D tracers:</p> <ul> <li>Phytoplankton and&nbsp;zooplankton&nbsp;carbon</li> <li>Mesozooplankton and tunicate carbon</li> <li><em>[expt]_ocean_cobalt_omip_tracers_year_z_1988-2007.nc</em></li> </ul> <p>&nbsp;</p> <p>Observational data compilation in 1-degree grid cells:</p> <ul> <li>Data compilation of&nbsp;small tunicates (appendicularians, mg C m<sup>-3</sup>) and&nbsp;large tunicates (thaliaceans, mg C m<sup>-3</sup>) as described in the Luo et al. publication.&nbsp;</li> <li>Mesozooplankton from the COPEPOD carbon biomass dataset in mg C m<sup>-3</sup>&nbsp;(Moriarty and O&#39;Brien 2012).</li> <li>The&nbsp;chlorophyll growing season mean (from GlobColour data product, blended&nbsp;in the Southern Ocean with Johnson et al. 2013), in units of mg Chl m<sup>-3</sup>.</li> <li>The tunicate column is a simple addition of the appendicularian + thaliacean column, assuming missing values are zero (use with caution).&nbsp;</li> <li>Please note that these values&nbsp;<strong><em>do not&nbsp;</em></strong>incorporate the 10x biomass adjustment from net-based sampling; this must be added in afterwards.</li> <li><em>ObsCompilation_SmLgTunicates_Mesozooplankton.csv</em></li> </ul> <p>&nbsp;</p> <p>See the below publication for more details:</p> <p><strong>Luo, Jessica Y.,&nbsp;</strong>Stock, C. A., Henschke, N., Dunne, J. P., O&#39;Brien, T. D., Global ecological and biogeochemical impacts of pelagic tunicates.&nbsp;<em>Progress in Oceanography</em>. (2022) doi:<a href="https://doi.org/10.1016/j.pocean.2022.102822">10.1016/j.pocean.2022.102822</a></p>

opencc-by-4.0May 2022View details →
dryad36/100

The microbiome of the pelagic tunicate Dolioletta gegenbauri: A potential link between the grazing and microbial food web

<p>Bloom-forming gelatinous zooplankton occur circumglobally and significantly influence the structure of pelagic marine food webs and biogeochemical cycling through interactions with microbial communities. During bloom conditions especially, gelatinous zooplankton are keystone taxa that help determine the fate of primary production, nutrient remineralization, and carbon export. Using the pelagic tunicate <em>Dolioletta gegenbauri</em> as a model system for gelatinous zooplankton, we carried out a laboratory-based feeding experiment to investigate the potential ecosystem impacts of doliolid gut microbiomes and microbial communities associated with doliolid fecal pellets and the surrounding seawater. Targeted metabarcoding (16S rRNA genes recovering Bacteria/Archaea) and qPCR approaches were used to characterize microbiome assemblages. Comparison between sample types revealed distinct patterns in microbial diversity and biomass that were replicable across experiments. These observations support the hypothesis that through their presence and trophic activity, doliolids influence the structure of pelagic food webs and biogeochemical cycling in subtropical continental shelf systems where tunicate blooms are common. Bacteria associated with starved doliolids (representative of the resident gut microbiome) possessed distinct low-biomass and low-diversity microbial assemblages, suggesting that the doliolid microbiome is optimized to support a detrital trophic mode. Bacterial genera <em>Pseudoalteromomas</em> and <em>Shimia</em> were the most abundant potential core microbiome taxa, similar to patterns observed in other marine invertebrates. Exploratory bioinformatic analyses of predicted functional genes suggest that doliolids, via their interactions with bacterial communities, may affect important biogeochemical processes including nitrogen, sulfur, and organic matter cycling.</p>

opencc-zeroSep 2022View details →
dryad36/100

The microbiome of the pelagic tunicate Dolioletta gegenbauri: A potential link between the grazing and microbial food web

Open the record for dataset details and reuse information.

publicSep 2022View details →
dryad32/100

Data from: Plasticity of animal genome architecture unmasked by rapid evolution of a pelagic tunicate

Genomes of animals as different as sponges and humans show conservation of global architecture. Here we show that multiple genomic features including transposon diversity, developmental gene repertoire, physical gene order, and intron-exon organization are shattered in the tunicate Oikopleura, belonging to the sister group of vertebrates and retaining chordate morphology. Ancestral architecture of animal genomes can be deeply modified and may therefore be largely nonadaptive. This rapidly evolving animal lineage thus offers unique perspectives on the level of genome plasticity. It also illuminates issues as fundamental as the mechanisms of intron gain.

opencc-zeroDec 2010View details →
zenodo32/100

FIGURE 4 in Pelagic tunicates (Appendicularia and Thaliacea) of Sri Lanka: two first records with an annotated checklist

FIGURE 4. Schematic diagrams of Sri Lankan pelagic tunicates, showing the general morphology of their families (A–H): the lateral view of mature individuals of Fritillariidae (A) and Oikopleuridae (B); gonozooid (C) and degenerated oozooid / nurse (D) of Doliolidae; dorsal view of a solitary zooid (E) and aggregate zooid (F) of Salpidae; a blastozooid (G) and sagittal section of a colony (H) of Pyrosomatidae. Adapted from Claus (1883), Esnal (1981), Barnes et al. (1993) and Sri Lankan specimens. Note: The tails of appendicularian diagrams have been rotated through 90º for clarity.

opennotspecifiedNov 2021View details →
zenodo32/100

FIGURE 3 in Pelagic tunicates (Appendicularia and Thaliacea) of Sri Lanka: two first records with an annotated checklist

FIGURE 3. Re-reported salp, Pegea confoederata, to Sri Lanka in "Waya-jel-Survey" in preserved form (A–D): a colony of zooids (A); embryo (B); aggregate zooid (C); solitary zooid (D). E—endostyle; G—gill; N—nucleus; S—stolon. Scales: B = 5 mm; C &amp; D = 8 mm; A = 20 mm.

opennotspecifiedNov 2021View details →
zenodo32/100

FIGURE 2 in Pelagic tunicates (Appendicularia and Thaliacea) of Sri Lanka: two first records with an annotated checklist

FIGURE 2. Firstly reported pelagic tunicates to Sri Lanka in "Waya-jel-Survey" (A–F): a live colony of Pyrostremma spinosum near to the sea surface (A &amp; B), and an illustration of its blastozooid (C); Thalia sibogae solitary zooid in preserved form (D), ventral view of medioventral projections (E), and an illustration of its posterior part (F). a—anus; ap—atrial palp; dmp— dorsal medioventral projection; e—endostyle; es—excurrent/buccal siphon; g—ganglion; is—incurrent/atrial siphon; lp—lateral projection; n—nucleus; o—ovary; pb—pharyngeal basket; pp—posterior projection; sl—stolon; sm—stomach; t—testis; vmp—ventral medioventral projection. Scales: E = 0.5 mm; C, D, F = 1 mm; A &amp; B = 0.4 m. Images A &amp; B by Franco Banfi from off Mirissa, Sri Lanka

opennotspecifiedNov 2021View details →
zenodo32/100

FIGURE 1 in Pelagic tunicates (Appendicularia and Thaliacea) of Sri Lanka: two first records with an annotated checklist

FIGURE 1. Sampling localities of pelagic tunicates within the three regions of Sri Lankan Exclusive Economic Zone (EEZ) denoted by BBR (Bay of Bengal Region), LSR (Laccadive Sea Region) and IOR (Indian Ocean Region). Source of the map: Maritime Boundaries Geodatabase, Flanders Marine Institute (https://www.marineregions.org/). Remarks of each sampling station (St.) indicated by open circles are in Table 1

opennotspecifiedNov 2021View details →
zenodo32/100

Figure 1 in Pelagic tunicates in the China Seas

Figure 1. Distribution and numerical abundances (ind./m3) of larvaceans in the coastal waters of Taiwan.

opennotspecifiedMar 2017View details →
dryad32/100

Data from: Plasticity of animal genome architecture unmasked by rapid evolution of a pelagic tunicate

Open the record for dataset details and reuse information.

publicJan 2011View details →
edi32/100

Assembled file of spring annual averages of pelagic tunicate organic biomass as carbon from the Southern California region, 1951 - 2011.

Derived dataset of approximately a dozen measures of annual springtime biomass of pelagic tunicates since 1951 (ongoing). Enumeration of net-towed samples (salps, doliolids, appendicularians, and pyrosomes) are converted to organic carbon biomass using length-carbon relationships (original from the zooplankton dataspace). Reference for pelagic tunicate organic carbon is Lavaniegos and Ohman (2007).

openCustomMar 2017View details →
zenodo28/100

Figure 2 in Pelagic tunicates in the China Seas

Figure 2. Distribution and abundance (ind./m3) of thaliaceans in the waters of Taiwan.

opennotspecifiedMar 2017View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record