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.
20
datasets available to search
ShareScore release 0.9.0
Dataset results
20 results for “Feeding niche”
Data supporting Comparison of feeding niches between Arctic and northward moving sub-Arctic marine mammals in Greenland
<p>Data supporting the paper:</p> <blockquote> <p>Land-Miller, H., A. Roos, M. Simon, R. Dietz, C. Sonne, S. Pedro, A. Rosing-Asvid, F. Rigét, and M. McKinney. 2023. Comparison of feeding niches between Arctic and northward moving sub-Arctic marine mammals in Greenland. Marine Ecology Progress Series.</p> </blockquote> <p>This data is in five files:</p> <p>1. <strong>greenland_marmam_metadata.csv</strong> contains metadata for all samples used in this project, including sample identifiers:</p> <ul> <li><em>Sample: </em>unique sample ID per individual animal</li> <li><em>Species</em></li> </ul> <p>and details of collection, including <em>Year, Location </em>(general area), <em>Lat, </em><em>Long, </em>and<em> </em><em>Date. </em>It also includes other data on the animal (<em>Sex, Age, Length</em>), when available, as well as the co-author who provided the sample to the project (<em>Sample sender</em>) and the tissues available/analyzed for each individual (<em>Tissues received</em>).</p> <p>2. <strong>all_sample_locations.csv</strong> includes latitude/longitude of each sample for mapping. Latitude and longitude are consistent with the full metadata file when coordinates were available, and estimated based on general sampling area (<em>Location </em>or <em>Area</em>) when not. The variable <em>estimate</em><strong> </strong>denotes samples for which coordinates were estimated.</p> <p>3. <strong>fatty_acids_greenland_marmams.csv </strong>contains fatty acid data for all samples. Variables <em>8:00</em> to <em>24:1n9</em> represent the proportion of each individual fatty acid, out of total fatty acids in that sample. Data are represented as whole number percents (i.e., 10 = 10% and all fatty acids sum to 100 for each sample). </p> <p>4. <strong>CNS_greenland_McGill.csv</strong> contains bulk stable isotope data for all samples analyzed at McGill. In addition to <em>Sample</em> and <em>Species</em>, this includes:</p> <ul> <li><em>treatment</em>: whether a sample was lipid-extracted (<em>LE</em>) or non-lipid-extracted (<em>nLE</em>) prior to analysis</li> <li><em>d15N</em>: stable isotope ratio δ<sup>15</sup>N</li> <li><em>d13C: </em>stable isotope ratio δ<sup>13</sup>C</li> <li><em>d34S: </em>stable isotope ratio δ<sup>34</sup>S</li> <li><em>perc.C: </em>mass percent of carbon in the sample</li> <li><em>perc.N: </em>mass percent of nitrogen in the sample</li> <li><em>perc.S: </em>mass percent of sulfur in the sample</li> <li><em>C.N.ratio: </em>mass ratio of carbon to nitrogen in the sample </li> </ul> <p>5. <strong>CN_greenland_nLE_copenhagen.csv</strong> contains stable isotope data for non-lipid-extracted samples analyzed at the University of Copenhagen for δ<sup>13</sup>C and δ<sup>15</sup>N. Variables <em>treatment</em>, <em>d13C</em>, and <em>d15N</em> are consistent with CNS_greenland_McGill.csv. </p>
Fig. 1 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 1. Location of the sampling site in the Cuiabá River (1 and 2) and Chacororé pond (3), in the upper Pantanal region, Mato Grosso State, Brazil.
Dataset of: Deconvolving feeding niches and strategies of abyssal holothurians from their stable isotope, amino acid, and fatty acid composition
Open the record for dataset details and reuse information.
Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods
<p><strong>trajectories.csv </strong>(the raw data)</p> <p><strong>id</strong>: replicate identifier<br><strong>variant</strong>: co-existence status ("competition" or "monoculture")<br><strong>day</strong>: day of experiment<br><strong>species</strong>: mite species ("CRM" or "WCM")<br><strong>n</strong>: population density</p> <p> </p> <p><strong>model.R</strong></p> <p>The R script with the GAMM fitted to the trajectory data (the GAMM model is saved as <strong>model.RData</strong>); also produces simulations from this model (saved as <strong>sim.csv</strong>).</p> <p> </p> <p><strong>model.RData</strong></p> <p>The GAMM for growth rates.</p> <p> </p> <p><strong>sim.csv</strong> (simulations from the GAMM)</p> <p><strong>day</strong>: day of experiment<br><strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br><strong>X1:X1000</strong>: population densities simulated from the fitted GAMM (on the log scale)</p> <p> </p> <p><strong>NFD_over_time_monte_carlo_gam.py</strong></p> <p>Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>model.RData</strong> (stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c.csv</strong> which stores the niche and fitness differences computed for these communities.</p> <p> </p> <p><strong>figures.R</strong></p> <p>The R script that produces Figures 2-4.</p> <p> </p> <p><strong>plot_biotic_model.py</strong></p> <p>Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. </p> <p> </p> <p><strong>plot_abiotic_model.py</strong></p> <p>Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. </p>
Data from: The evolution of climate tolerance in conifer-feeding aphids in relation to their host’s climatic niche
Open the record for dataset details and reuse information.
Data from: Fundamental and realized feeding niche breadths of sexual and asexual stick insects
The factors contributing to the maintenance of sex over asexuality in natural populations remain unclear. Ecological divergences between sexual and asexual lineages could help to maintain reproductive polymorphisms, at least transiently, but the consequences of asexuality for the evolution of ecological niches are unknown. Here, we investigated how niche breadths change in transitions from sexual reproduction to asexuality. We used host plant ranges as a proxy to compare the realized feeding niche breadths of five independently derived asexual Timema stick insects' species and their sexual relatives at both the species and population levels. Asexual species had a systematically narrower realized niche than sexual species, though this pattern was not apparent at the population level. To investigate how the narrower realized niches of asexual species arise, we performed feeding experiments to estimate fundamental niche breadths but found no systematic differences between reproductive modes. The narrow realized niches found in asexual species are therefore likely a consequence of biotic interactions such as predation or competition, that constrain realized niche size in asexuals more strongly than in sexuals.
Data from: Specialized specialists and the narrow niche fallacy: a tale of scale-feeding fishes
Although rare within the context of 30,000 species of extant fishes, scale-feeding as an ecological strategy has evolved repeatedly across the teleost tree of life. Scale-feeding (lepidophagous) fishes are diverse in terms of their ecology, behavior, and specialized morphologies for grazing on scales and mucus of sympatric species. Despite this diversity, the underlying ontogenetic changes in functional and biomechanical properties of associated feeding morphologies in lepidophagous fishes are less understood. We examined the ontogeny of feeding mechanics in two evolutionary lineages of scale-feeding fishes: Roeboides, a characin, and Catoprion, a piranha. We compare these two scale-feeding taxa to their nearest, non-lepidophagous taxa to identify traits held in common among scale-feeding fishes. We use a combination of micro-computed tomography scanning and iodine staining to measure biomechanical predictors of feeding behavior such as tooth shape, jaw lever mechanics, and jaw musculature. We recover a stark contrast between the feeding morphology of scale-feeding and non-scale-feeding taxa, with lepidophagous fishes displaying some paedomorphic characters through to adulthood. Few traits are shared between lepidophagous characins and piranhas, except for their highly-modified, stout dentition. Given such variability in development, morphology, and behavior, ecological diversity within lepidophagous fishes has been underestimated.
Fundamental niche narrows through larval stages of a filter-feeding marine invertebrate
<p>Ontogenetic niche theory predicts that resource use should change across complex life histories. To date, studies of ontogenetic shifts in food niches have mainly focused on a few systems (e.g. fish), with less attention on organisms with filter-feeding larval stages (e.g. marine invertebrates). Recent studies suggest that filter-feeding organisms can select specific particles, but our understanding of whether niche theory applies to this group is limited. We characterised the fundamental niche (i.e. feeding proficiency) by examining how niche breadth changes across the larval stages of the filter-feeding marine polychaete <em>Galeolaria</em> <em>caespitosa</em>. Using a no-choice experimental design, we measured feeding rates of trochophore, intermediate-stage and metatrochophore larvae on the prey phytoplankton species: <em>Nannochloropsis</em> <em>oculata</em>, <em>Tisochrysis</em> <em>lutea</em>, <em>Dunaliella</em> <em>tertiolecta</em> and <em>Rhodomonas</em> <em>salina</em>, that vary 10-fold in size, from the smallest to the largest. We formally estimated Levins' niche breadth index to determine the relative proportions of each species in the diet of the three larval stages and also tested how feeding rates vary with algal species and stage. We found that early stages eat all four algal species in roughly equal proportions, but niche breadth narrows during ontogeny, such that metatrochophores are feeding specialists relative to early stages. We also found that feeding rates differed across phytoplankton species—the medium-sized cells (<em>Tisochrysis</em> and <em>Dunaliella</em>) were eaten most, and the smallest species (<em>Nannochloropsis</em>) was eaten the least. Our results demonstrate that ontogenetic niche theory describes changes in fundamental niche in filter feeders—an important next step is to test whether the realized niche (i.e. preference) changes during the larval phase as well.</p>
Data from: Fundamental and realized feeding niche breadths of sexual and asexual stick insects
Open the record for dataset details and reuse information.
Fundamental niche narrows through larval stages of a filter-feeding marine invertebrate
Open the record for dataset details and reuse information.
Data from: Specialized specialists and the narrow niche fallacy: a tale of scale-feeding fishes
Open the record for dataset details and reuse information.
Feeding preferences and nutritional niche of wild water buffalo (Bubalus arnee) in Koshi Tappu Wildlife Reserve, Nepal.
<p>We sought to further the understanding of how an animal's foraging ecology is influenced by their feeding preferences and nutritional composition of forage items. Our research identified these aspects of wild water buffalo's (<i>Bubalus arnee</i>) foraging ecology in Nepal. First, we sought to describe the foraging preferences of wild water buffalo in terms of the relative abundance of functional forage groups (i.e., forbs, graminoids, and browse) in their diet. We observed signs of wild water buffalo foraging on 54 plant species. We found wild water buffalo consume graminoids and forbs 2-3 times more frequently than browse items. Then, we investigated the composition of nutrients (i.e., carbohydrates, proteins, and lipids) in wild water buffalo diets to develop an estimate of their realized nutrient niche. Of the 54 plant species foraged, we analyzed the nutritional composition of the 16 most frequently foraged species. We found the realized nutrient niche of wild water buffalo is dominated by carbohydrates, but there was a positive correlation between the relative frequency of foraged items and protein content. Our study contributes important information on the feeding preference and nutritional content of the endangered wild water buffalo. Our results can be used to inform conservation and management strategies of this species in wild. Selection of potential translocation sites should include key species that are higher in protein content and frequently forages by wild water buffalo (e.g., <i>Typha elephantina</i>) to help mitigate human-wildlife conflicts. Further, we provide valuable insight into the mechanisms influencing the foraging ecology of wild herbivores.</p>
Fig. 4 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 4. Values of trophic niche breadth (mean±standard error) of fish species in each spatial- temporal units in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4- 0.6) or high (0.61-1) (modified of Grossman, 1986).
Fig. 2 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 2. Relative water levels in the study area, Cuiabá River and Chacororé Lake, State of Mato Grosso, Brazil, from March 2000 to February 2001, showing the rainy and dry seasons. The data were provided by the Agência Nacional de Águas (ANA).
Fig. 3 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 3. Relative frequency of the trophic niche breadth (B) a intervals of fish species in each spatial-temporal unit in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4-0.6) or high (0.61-1) (modified of Grossman, 1986).
Data from: A three-dimensional computer simulation of feeding behaviour in red and giant pandas relates skull biomechanics with dietary niche partitioning
Open the record for dataset details and reuse information.
Feeding preferences and nutritional niche of wild water buffalo (Bubalus arnee) in Koshi Tappu Wildlife Reserve, Nepal.
Open the record for dataset details and reuse information.
Cancer immunotherapies transition endothelial cells into HEVs that generate TCF1+ T lymphocyte niches through a feed-forward loop [SmartSeq2]
GEO Series GSE198069. Mus musculus. 768 samples. Type: Expression profiling by high throughput sequencing.
Cancer immunotherapies transition endothelial cells into HEVs that generate TCF1+ T lymphocyte niches through a feed-forward loop [10X Genomics]
GEO Series GSE198079. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Cancer immunotherapies transition endothelial cells into HEVs that generate TCF1+ T lymphocyte niches through a feed-forward loop
GEO Series GSE198080. Mus musculus. 777 samples. Type: Expression profiling by high throughput sequencing.
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.