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.
107
datasets available to search
ShareScore release 0.9.0
Dataset results
107 results for “Variability changes”
Data from: Climate-driven hydrological variability determines inter-annual changes in stream invertebrate community assembly
Open the record for dataset details and reuse information.
Data from: Ecological specialization, variability in activity patterns, and response to environmental change
Open the record for dataset details and reuse information.
Synchronized file of allele frequencies for: Using seasonal genomic changes to understand historical adaptation to new environments: parallel selection on stickleback in highly-variable estuaries
Open the record for dataset details and reuse information.
Data from: Intraspecific niche models for ponderosa pine (Pinus ponderosa) suggest potential variability in population-level response to climate change.
Open the record for dataset details and reuse information.
Data from: Assessing changes in arthropod predator-prey interactions through DNA-based gut content analysis - variable environment, stable diet
Open the record for dataset details and reuse information.
Data from: Melanin in a changing world: brown trout coloration reflects alternative reproductive strategies in variable environments
Open the record for dataset details and reuse information.
Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
Open the record for dataset details and reuse information.
Data from: Correlative changes in life history variables in response to environmental change in a model organism
Global change alters the environment, including increases in the frequency of (un)favorable events and shifts in environmental noise color. However, how these changes impact the dynamics of populations, and whether these can be predicted accurately has been largely unexamined. Here we combine recently developed population modeling approaches and theory in stochastic demography to explore how life history, morphology, and average fitness respond to changes in the frequency of favorable environmental conditions and in the color of environmental noise in a model organism (an acarid mite). We predict that different life-history variables respond correlatively to changes in the environment, and we identify different life-history variables, including lifetime reproductive success, as indicators of average fitness and life-history speed across stochastic environments. Depending on the shape of adult survival rate, generation time can be used as an indicator of the response of populations to stochastic change, as in the deterministic case. This work is a useful step toward understanding population dynamics in stochastic environments, including how stochastic change may shape the evolution of life histories.
Data from: Predicting biotic interactions and their variability in a changing environment
Global environmental change is altering the patterns of biodiversity worldwide. Observation and theory suggest that species' distributions and abundances depend on a suite of processes, notably abiotic filtering and biotic interactions, both of which are constrained by species' phylogenetic history. Models predicting species distribution have historically mostly considered abiotic filtering and are only starting to integrate biotic interaction. However, using information on present interactions to forecast the future of biodiversity supposes that biotic interactions will not change when species are confronted with new environments. Using bacterial microcosms, we illustrate how biotic interactions can vary along an environmental gradient and how this variability can depend on the phylogenetic distance between interacting species.
Data from: Imperfect morphological convergence: variable changes in cranial structures underlie transitions to durophagy in moray eels
Convergence is central to the study of evolution because it demonstrates the power of natural selection to deterministically shape phenotypic diversity. However, the conditions under which a common morphology repeatedly evolves may be restrictive. Many factors—such as differing genetic and environmental backgrounds and many-to-one mapping of form to function—contribute to variability in responses to selection. Nevertheless, lineages may evolve similar, even if not identical, forms given a shared selective regime, providing opportunities to examine the relative importance of natural selection, constraint and contingency. Here, we show that following 10 transitions to durophagy in moray eels (Muraenidae), cranial morphology repeatedly evolved toward a novel region of morphological space indicative of enhanced feeding performance on hard prey. Disparity among the resulting 15 durophagous species, however, is greater than disparity among ancestors that fed on large evasive prey, contradicting the pattern expected under convergence. This elevated disparity is a consequence of lineage-specific responses to durophagy, in which independent transitions vary in the suites of traits exhibiting the largest changes. Our results reveal a pattern of imperfect convergence, which suggests shared selection may actually promote diversification because lineages often differ in their phenotypic responses to similar selective demands.
Data from: Temporal changes in genetic variability in three bumblebee species from Rio Grande do Sul, South Brazil
[No abstract entered]
Two-Decadal Variability of Lacustrine Groundwater Discharge: Coupled Controls from Weather and Hydrologic Changes
<p>This is the dataset of radon concentration in lake water and groundwater.</p>
Data from: Environmentally induced changes in correlated responses to selection reveal variable pleiotropy across a complex genetic network
Selection in novel environments can lead to a coordinated evolutionary response across a suite of characters. Environmental conditions can also potentially induce changes in the genetic architecture of complex traits, which in turn could alter the pattern of the multivariate response to selection. We describe a factorial selection experiment using the nematode Caenorhabditis remanei in which two different stress-related phenotypes (heat and oxidative stress resistance) were selected under three different environmental conditions. The pattern of covariation in the evolutionary response between phenotypes or across environments differed depending on the environment in which selection occurred, including asymmetrical responses to selection in some cases. These results indicate that variation in pleiotropy across the stress response network is highly sensitive to the external environment. Our findings highlight the complexity of the interaction between genes and environment that influences the ability of organisms to acclimate to novel environments. They also make clear the need to identify the underlying genetic basis of genetic correlations in order understand how patterns of pleiotropy are distributed across complex genetic networks.
Two-Decadal Variability of Lacustrine Groundwater Discharge: Coupled Controls from Weather and Hydrologic Changes
<p>Hydrological data of Yangtze River</p>
Two-Decadal Variability of Lacustrine Groundwater Discharge: Coupled Controls from Weather and Hydrologic Changes
<p>Areas of oxbow lakes in 2022 to 2022</p>
Two-Decadal Variability of Lacustrine Groundwater Discharge: Coupled Controls from Weather and Hydrologic Changes
<p>Meteorological data in oxbow lakes</p>
Two-Decadal Variability of Lacustrine Groundwater Discharge: Coupled Controls from Weather and Hydrologic Changes
<p>The lake water level and groundwater level in TEL</p>
Data from: Temporal changes in genetic variability in three bumblebee species from Rio Grande do Sul, South Brazil
Open the record for dataset details and reuse information.
Data from: Correlative changes in life history variables in response to environmental change in a model organism
Open the record for dataset details and reuse information.
Data from: Imperfect morphological convergence: variable changes in cranial structures underlie transitions to durophagy in moray eels
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.