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57 results for “stomach contents”

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zenodo32/100

Figure 5 in The carcinofauna found in stomach contents of the flying gurnard (Dactylopterus volitans) on the continental shelf of the Campos Basin, Brazil

Figure 5. Relative abundance of crustacean groups by total length (TL) of Dactylopterus volitans collected at Campos Basin. Numbers in the top of columns indicate the sample size.

opennotspecifiedNov 2017View details →
zenodo32/100

Figure 3 in The carcinofauna found in stomach contents of the flying gurnard (Dactylopterus volitans) on the continental shelf of the Campos Basin, Brazil

Figure 3. (a) Pontellopsis cf. villosa (subclass Copepoda, order Calanoida, family Pontellidae); (b) Brachyura larvae (order Decapoda); (c) Order Stomatopoda larvae (class Malacostraca); (d) Myodocopa species (class Ostracoda).

opennotspecifiedNov 2017View details →
zenodo32/100

Figure 1 in The carcinofauna found in stomach contents of the flying gurnard (Dactylopterus volitans) on the continental shelf of the Campos Basin, Brazil

Figure 1. Relative abundance (%N) of Crustacea groups found in Dactylopterus volitans stomachs contents collected at Campos Basin: (a) Subphylum Crustacea; (b) Order Decapoda; (c) Superorder Peracarida.

opennotspecifiedNov 2017View details →
zenodo32/100

Figure 1 in Unravelling the stomach contents of fish and crab species from Cananéia, São Paulo: Are they eating plastic?

Figure 1. Sampling station in the Cananéia region, state of São Paulo, Brazil.

opencc-by-nc-4.0Jan 2023View details →
ClinicalTrials.gov32/100

Patient Satiety as an Indicator of Stomach Contents and Fluid Volume

ClinicalTrials.gov study NCT04884373. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Metabarcoding of shrimp stomach content: harnessing a natural sampler for fish biodiversity monitoring

Open the record for dataset details and reuse information.

publicOct 2018View details →
dryad32/100

Stomach content, biomass, abundance and body score of long-tailed ducks (Clangula hyemalis) from south-eastern Baltic Sea

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publicFeb 2022View details →
zenodo28/100

FIGURE 9 in Abyssal ascidians (Chordata, Tunicata) from the Weddell Sea, Antarctica, including a new Styela species and stomach content identifications

FIGURE 9. Asajirus indicus.

opennotspecifiedJan 2022View details →
zenodo28/100

FIGURE 2 in Abyssal ascidians (Chordata, Tunicata) from the Weddell Sea, Antarctica, including a new Styela species and stomach content identifications

FIGURE 2. Protoholozoa pedunculata.

opennotspecifiedJan 2022View details →
dryad28/100

Gillnets and stomach content metabarcoding - sharks and rays

<p>Gillnets are the world's most common net-based fishing gear, comprising walls of light mesh designed to entangle fish. Gillnets are often retrieved with holes in the netting, which means some animals escape or are depredated unseen, but with some mortality. To effectively manage fisheries around the world, information is required on not only the harvested and discarded mortalities, but also problematic interactions and mortalities caused by the fishing gear and especially those involving protected species. This study sought to assess a novel method for determining such interactions by sampling five adjacent pieces of netting around each of ten holes in two bather protection polyethylene gillnets for environmental DNA or 'eDNA'. Here we show that eDNA correctly identified all previously entangled-and-landed species. Also, eDNA from three uncaptured taxa were recorded: bull shark, <i>Carcharhinus leucas</i>, white shark, <i>Carcharodon carcharias</i> and dolphins (Delphindae), illustrating the potential to reveal previously cryptic gillnet interactions. We propose that as scientific methods evolve and autonomous real-time DNA surveillance becomes routine, eDNA testing of fishing gears and vessels could provide a novel, complementary fishery-monitoring tool.</p>

opencc-zeroJun 2021View details →
dryad28/100

Data for: Size and abundance of stomach contents from Chatham Island lake smelt

<p><span>Sea level rise threatens ecosystem function in coastal lakes by increasing salinity and altering community composition. As mobile generalists, fish have considerable influence on the stability of a system by impacting trophic network structure. Understanding their diet across abiotic gradients, including salinity, can show key characteristics of their ecological role, and predator diet shifts may serve as warning signs of food web restructuring. Stomach contents analysis was used to look at the diet of <em>Retropinna retropinna</em> (common smelt) across shallow coastal lakes on Rēkohu (Chatham Island). Smelt stomachs from 10 lakes (seven freshwater; three salt-influenced) were analysed. Comparisons of salt-influenced and freshwater lakes showed shifts in composition, with reduced beta diversity with salinity.</span><span> Smelt</span><span> in freshwater lakes predominantly consumed herbivorous, omnivorous, or predatory insect larvae while diet in salt-influenced lakes was d</span><span>ominanted by crustacean shredders. The between lake taxonomic variation amongst salt-influenced lakes was lower than between freshwater lakes, suggesting homogenisation of smelt diet with salinity. Differences in composition and heterogeneity did not translate to consistent differences in total niche width or individual specialisation between freshwater and salt-influenced lakes.  </span><span>Further development of knowledge on biological structure across</span><span> </span><span>salinity gradients is essential to understand </span><span>ecosystem function under future climate scenarios.</span></p>

opencc-zeroNov 2022View details →
dryad28/100

Gillnets and stomach content metabarcoding - sharks and rays

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publicJun 2021View details →
dryad28/100

Data for: Size and abundance of stomach contents from Chatham Island lake smelt

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publicNov 2022View details →
zenodo24/100

Foraging preferences of an apex marine predator revealed through stomach content and stable isotope analyses

<p>Stable Isotope Data and Stomach Content Data from Bottlenose Dolphins and their Prey.&nbsp;</p>

opencc-by-4.0Feb 2020View details →
zenodo24/100

Fig 1 in Ontogeny and stomach content analysis of Bagrus bayad (Forskal, 1977) in Zobe reservoir, Katsina, Nigeria

Fig 1: Map of the Katsina State showing inland waters and Zobe Dam.

opencc-by-4.0Dec 2023View details →
zenodo24/100

Figure 3 in Unravelling the stomach contents of fish and crab species from Cananéia, São Paulo: Are they eating plastic?

Figure 3. Representation of the plastic found in the specimens analysed. (A) largest plastic fibres found in Polydactylus virginicus stomach; (B) plastic particle and fibres found in the fish′s stomach Paralonchurus brasiliensis.

opencc-by-nc-4.0Jan 2023View details →
zenodo20/100

Figure 2. Prey preference and stomach content states. a in Life is uncertainı eat dessert first: feeding ecology and prey-predator interactions of the coffee snake Ninia atrata

Figure 2. Prey preference and stomach content states. a) Percentage of prey-items in the stomach content and available in the environment. b) stomach contents categories.

opennotspecifiedAug 2019View details →

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Allen Brain Atlas

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allen-brain-atlas
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DANDI Archive for NWB datasets

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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
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Last verified 2026-04-29Open record

OpenNeuro

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