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.

39

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

39 results for “Trophic Dynamics”

Learn how ShareScore rates datasets ↗
dryad32/100

Data from: A test for rate-coupling of trophic and cranial evolutionary dynamics in New World bats

<p>Data supporting article Shi et al. 2021, Evolution: <a href="https://doi.org/10.1111/evo.14188">https://doi.org/10.1111/evo.14188</a></p> <p>Morphological evolution is often assumed to be causally related to underlying patterns of ecological trait evolution. However, few studies have directly tested whether evolutionary dynamics of and major shifts in ecological resource use are coupled with morphological shifts that may facilitate trophic innovation. Using diet and multivariate cranial (microCT) data, we tested whether rates of trophic and cranial evolution are coupled in the radiation of New World bats. <span>We developed a generalizable information-theoretic method for describing evolutionary rate heterogeneity across large candidate sets of multi-rate models of evolution, without relying on a single best-fitting model</span>. We found considerable variation in trophic evolutionary dynamics, in sharp contrast to a largely homogeneous cranial evolutionary process. This dichotomy is surprising given documented functional associations between overall skull morphology and trophic ecology. We suggest that assigning discrete trophic states may underestimate trophic generalism, and that this radiation could be characterized by generally labile crania that result in a homogeneous dynamic of overall high morphological rates. Overall, we discuss how trophic classification could substantively impact our interpretation of how these dynamics covary in adaptive radiations.</p>

opencc-zeroFeb 2021View details →
dryad32/100

Data from: Variable sea-ice conditions influence trophic dynamics in an Arctic community of marine top predators

Sea‐ice coverage is a key abiotic driver of annual environmental conditions in Arctic marine ecosystems and could be a major factor affecting seabird trophic dynamics. Using stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) in eggs of thick‐billed murres (Uria lomvia), northern fulmars (Fulmarus glacialis), glaucous gulls (Larus hyperboreus), and black‐legged kittiwakes (Rissa tridactyla), we investigated the trophic ecology of prebreeding seabirds nesting at Prince Leopold Island, Nunavut, and its relationship with sea‐ice conditions. The seabird community of Prince Leopold Island had a broader isotopic niche during lower sea‐ice conditions, thus having a more divergent diet, while the opposite was observed during years with more extensive sea‐ice conditions. Species' trophic position was influenced by sea ice; in years of lower sea‐ice concentration, gulls and kittiwakes foraged at higher trophic levels while the opposite was observed for murres and fulmars. For murres and fulmars over a longer time series, there was no evidence of the effect of sea‐ice concentration on species' isotopic niche. Results suggest a high degree of adaptation in populations of high Arctic species that cope with harsh and unpredictable conditions. Such different responses of the community isotopic niche also show that the effect of variable sea‐ice conditions, despite being subtle at the species level, might have larger implications when considering the trophic ecology of the larger seabird community. Species‐specific responses in foraging patterns, in particular trophic position in relation to sea ice, are critical to understanding effects of ecosystem change predicted for a changing climate.

opencc-zeroJun 2019View details →
dryad32/100

Data from: Animals alter precipitation legacies: trophic and ecosystem engineering effects on plant community temporal dynamics

1. Multi-year precipitation 'legacies' can have stronger effects on plant community composition than rainfall in the current growing season, but variation in the magnitude of these effects is not fully understood. Direct interactions between plants and animals, such as herbivory, and indirect interactions, such as ecosystem engineering (via changes in the physical environment), may influence precipitation legacies by altering mechanisms of lagged effects. However, the role of direct and indirect plant-animal interactions in determining the strength of precipitation legacies remains largely unexplored. 2. Here, we investigated effects of current growing season rainfall and precipitation legacies on grassland composition, and the influence of herbivory and ecosystem engineering interactions on these temporal dynamics. From 2009 to 2014, a period spanning high and low rainfall, we recorded plant cover in kangaroo rat exclosures and paired control plots that included both burrow and inter-burrow areas. We used linear mixed effects modeling and analysis of community dissimilarities to evaluate plant composition responses to current and previous growing season rainfall and kangaroo rat herbivory (presence of seed foraging) and ecosystem engineering (burrowing). 3. We found that community composition was more strongly affected by precipitation legacies than by current growing season rainfall. Greater precipitation in the previous growing season enhanced grass cover and reduced forb and legume cover. Kangaroo rat trophic and engineering interactions had counteracting effects on these legacies. While burrowing increased grass cover and thereby amplified the effects of previous growing season rainfall on community composition, legacies were suppressed by the presence of kangaroo rat foraging, which decreased grass cover. Further analysis revealed that kangaroo rat foraging and burrowing had conflicting effects on residual plant biomass prior to the growing season, suggesting that precipitation legacies were influenced by altered litter dynamics. 4. Synthesis. Our study demonstrates that animals can impact the strength of precipitation legacies through direct and indirect interactions with the plant species that drive lag effects. The influence of multiple types of plant-animal interactions on precipitation legacies may be important to consider for ecosystem management and when generating predictions of community composition and productivity in future ecosystems.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Seasonal dynamics and changing sea level as determinants of the community and trophic structure of oribatid mites in a salt marsh of the Wadden Sea

Global change processes affect seasonal dynamics of salt marshes and thereby their plant and animal communities. However, these changes have been little investigated for microarthropod communities. We studied the effect of seasonality and changes in sea level on oribatid mites in the natural salt marsh and on artificial islands in the back-barrier environment of the island Spiekeroog (Wadden Sea, Germany). Three zones of the artificial islands were filled with transplanted sods from the lower salt marsh zone and thereby exposed to three different inundation frequencies. We hypothesized that oribatid mite communities will differ along the natural salt marsh vegetation zones [upper salt marsh (USM), lower salt marsh (LSM), pioneer zone (PZ)], which are influenced by different tidal regimes. Accordingly, total oribatid mite densities declined from the USM and LSM to the PZ. Similarly, oribatid mite species compositions changed along the salt marsh transect and also responded to variations in inundation frequency in LSM on artificial islands with typical species of the USM, LSM and PZ being Multioppia neglecta (USM), Hermannia pulchella (LSM), Zachvatkinibates quadrivertex (LSM, PZ) and Ameronothrus schneideri (LSM, PZ). Oribatid mite density in the salt marsh and on the artificial islands was at a maximum in winter and spring; this was due in part to high density of juveniles, pointing to two reproductive periods. We hypothesized that oribatid mite trophic structure changes due to variations in abiotic (e.g., tidal dynamics, temperature) and biotic conditions (e.g., resource availability). Stable isotope (15N, 13C) and neutral lipid fatty acid analyses indicated that oribatid mite species have different diets with e.g., Z. quadrivertex feeding on macroalgae and fungi, A. schneideri feeding on microalgae and bacteria, and Scheloribates laevigatus and M. neglecta feeding on dead organic matter, bacteria and fungi. Overall, the results indicate that oribatid mite species in salt marshes are affected by changes in environmental factors such as inundation intensity, with the effects being most pronounced in species with narrow trophic niches and limited niche plasticity. The results also indicate that oribatid communities of the LSM respond little to short-term (one year) changes in inundation frequency.

opencc-zeroDec 2017View details →
zenodo32/100

Figure 1 in Dynamic of fish trophic guilds in the plateau-plain gradient in the Paraguay River, Northern Pantanal

Figure 1. The sampling sites along the Paraguay River, state of Mato Grosso, Brazil.

opencc-by-nc-4.0Aug 2022View details →
dryad32/100

Data from: Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades

<p><strong>Aim: </strong>Spatiotemporal variation in resource availability is a strong driver of animal distributions. In northern hardwood and boreal forests of the northeastern United States, tree mast events provide resource pulses that drive the population dynamics of small mammals, including the American red squirrel (<em>Tamiasciurus hudsonicus</em>), a primary songbird nest predator. This study sought to determine whether mast availability ameliorates their abiotic limits, enabling red squirrel elevational distributions to temporarily expand and negatively impact high elevation songbirds.</p> <p><strong>Location: </strong>Northeastern United States</p> <p><strong>Methods:</strong> We used two independent datasets to evaluate our hypotheses. First, we fit a dynamic occupancy model using data from camera trap surveys to evaluate red squirrel distributional responses to pulses in tree mast. We also assessed population responses using systematic auditory surveys analyzed with an open-population binomial mixture model. Further, we used modeled red squirrel abundance in nest-survival models to evaluate whether their abundance is correlated with daily nest survival of three songbird species.</p> <p><strong>Results:</strong> Tree mast provided a critical resource pulse that resulted in a two-fold increase in the annual elevational distribution of red squirrels. The elevational distribution of red squirrels ranged from a minimum of ~450 m (range: 663 – 1145 m asl) following two consecutive years without a masting event to a maximum of over 1000 m (range: 443 – 1545 m asl) after a large mast event. Daily nest survival of three songbird species tended to decline with an increase in the abundance of red squirrels.</p> <p><strong>Main Conclusions:</strong> Tree mast is a central biological phenomenon in many temperate and boreal forests. This study reveals how this resource pulse results in range changes in a small mammal that is both a seed and bird predator, as well as prey for many carnivores. Thus, understanding this phenomenon can inform the conservation and management of northern forests, including breeding songbirds.</p>

opencc-zeroMay 2024View details →
dryad32/100

Data from: Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades

Open the record for dataset details and reuse information.

publicMay 2024View details →
dryad32/100

Data from: Trophic dynamics of filter feeding bivalves in the Yangtze Estuarine Intertidal Marsh: stable isotope and fatty acid analyses

Open the record for dataset details and reuse information.

publicJul 2016View details →
dryad32/100

Data from: Variable sea-ice conditions influence trophic dynamics in an Arctic community of marine top predators

Open the record for dataset details and reuse information.

publicJun 2019View details →
dryad32/100

Data from: Animals alter precipitation legacies: trophic and ecosystem engineering effects on plant community temporal dynamics

Open the record for dataset details and reuse information.

publicJan 2019View details →
dryad32/100

Data from: A test for rate-coupling of trophic and cranial evolutionary dynamics in New World bats

Open the record for dataset details and reuse information.

publicFeb 2021View details →
dryad32/100

The dynamic trophic niche of an island bird of prey

Open the record for dataset details and reuse information.

publicNov 2020View details →
dryad32/100

Data from: Seasonal dynamics and changing sea level as determinants of the community and trophic structure of oribatid mites in a salt marsh of the Wadden Sea

Open the record for dataset details and reuse information.

publicNov 2018View details →
dryad32/100

Data from: Multi-trophic occupancy modeling connects temporal dynamics of woodpeckers and beetle sign following fire

Open the record for dataset details and reuse information.

publicFeb 2023View details →
dryad28/100

Species interactions across trophic levels mediate rainfall effects on dryland vegetation dynamics

<p>Arid ecosystems are strongly limited by water availability, and precipitation plays a major role in the dynamics of all species in arid regions, as well as the ecosystem processes that occur there. However, understanding how biotic interactions mediate long-term responses of dryland ecosystems to rainfall remains very fragmented. We report on a unique large-scale field experiment spanning 25 years and three trophic levels (plants, small mammal herbivores, predators) in a dryland ecosystem in the northern Chilean Mediterranean Region where we assessed how biotic interactions influence the long-term plant community responses to precipitation. As the most persistent ecological changes in dryland systems may result from changes in the structure, cover, and composition of the perennial vegetation, we emphasized the interplay between bottom-up and top-down controls of perennial plants in our analyses. Rainfall was the primary factor affecting the dynamics of, and interactions among, plants and small mammals. Ephemeral plant cover dynamics closely tracked short-term annual rainfall, but seemed unaffected by top-down controls (herbivory). In contrast, the response of the perennial plant cover to precipitation was mediated by: (i) a complex interplay between subtle top-down (herbivory) controls that become more apparent in the long-term, (ii) competition with ephemeral plants during wet years, and (iii) an indirect effect of predators on subdominant shrubs and perennial herbs. This long-term field experiment highlights how climate-induced responses of arid perennial vegetation are influenced by interactions across trophic levels and temporal scales. In the face of global change, understanding how multi-trophic controls mediate dryland vegetation responses to climate is essential to properly managing the conservation of biodiversity in arid systems.</p>

opencc-zeroSep 2020View details →
dryad28/100

Data from: Local adaptation at higher trophic levels: contrasting hyperparasite-pathogen infection dynamics in the field and laboratory

Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Coevolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology, however studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated if this interaction varies across combinations of pathogen-hyperparasite strains, and if this influences hyperparasite incidence in natural pathogen populations. Here, we test if the association between a hyperparasitic fungus, Ampelomyces quisqualis, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype x genotype interactions, and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains.

opencc-zeroDec 2015View details →
zenodo28/100

Refining species generality from a dynamical view on trophic interactions

<p>Dataset of "Refining species generality from a dynamical view on trophic interactions".</p>

opencc-by-4.0May 2024View details →
dryad28/100

Data from: Local adaptation at higher trophic levels: contrasting hyperparasite-pathogen infection dynamics in the field and laboratory

Open the record for dataset details and reuse information.

publicNov 2016View details →
dryad28/100

Species interactions across trophic levels mediate rainfall effects on dryland vegetation dynamics

Open the record for dataset details and reuse information.

publicSep 2020View 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