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.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “fluctuating environments”
Best of both worlds: Acclimation to fluctuating environments confers advantages and minimizes costs of constant environments
<ol> <li><span>Thermal acclimation is often considered critical in organismal responses to novel thermal conditions. Our understanding of the physiological implications of acclimation is largely derived from lab studies with simplified thermal regimes that fail to account for any variation that animals would experience naturally (i.e. diel variation). As such, constant temperature acclimation experiments may produce a flawed understanding of acclimation in the wild. </span></li> <li><span>To fill this gap, we acclimated lizards (<em>Amphibolurus</em> <em>muricatus</em>) under three thermal regimes (Hot Constant, Cold Constant and Alternating) and compared their physiological responses (Metabolic Rate, Sprint Speed, Thermal Preferences and Thermal Limits). </span></li> <li> <span>We found that animals maintained constantly at hot temperatures (preferred temperature, 35</span>°<span>C) gained sprint performance increases, not seen in those maintained constantly at cold temperatures (20</span>°<span>C), yet suffered costs to growth (in younger animals) and maintenance (mass loss in older animals). Animals maintained at alternating temperatures (12 hr 20</span>°<span>C; 12 hr 35</span>°<span>C) had performance benefits matching animals in the hot treatment, without experiencing reductions in juvenile growth and adult mass. </span> </li> <li><span>Animals acclimated under hot temperatures showed a significant lower preferred and voluntary maximum temperatures compared to animals acclimated under a cold temperature regime. </span></li> <li><span>We found no impact of acclimation treatment on behavioural thermal limits or Standard Metabolic Rate. </span></li> </ol> <p><span>Overall, we show that alternating between access to preferred temperatures and having periods of energetic rest confer the greatest benefits for our animals. These results highlight the importance of natural body temperature variation for enhancing overall ectotherm performance and physiology, and the costs of novel thermal environments that fail to provide this variation.</span><span><br></span></p>
Generation time in stage-structured populations under fluctuating environments (Simulations)
<p>The study is about the computation of the generation time when individuals are classified based on their stage and the environment stochastically fluctuates with time. This folder contains simulation code in R to plot Figure 2 of the manuscript.</p>
Data from: Wolbachia impacts microbiome diversity and fitness-associated traits for Drosophila melanogaster in a seasonally fluctuating environment
Open the record for dataset details and reuse information.
Best of both worlds: Acclimation to fluctuating environments confers advantages and minimizes costs of constant environments
Open the record for dataset details and reuse information.
Generation time in stage-structured populations under fluctuating environments (Simulations)
Open the record for dataset details and reuse information.
How efficient is symbiont-mediated protection to heat under daily fluctuating thermal environments? A study on an aphid-bacterium mutualism
<p>These are the two datasets for the article "<strong>How efficient is symbiont-mediated protection to heat under daily fluctuating thermal environments? A study on an aphid-bacterium mutualism</strong>".</p> <p>We examined the effects of four thermal regimes defined by their combination of mean temperature (18 or 25°C) and diurnal thermal range (day-night fluctuations: 5 or 10°C) on the interaction between the aphid <em>Acyrthosiphon pisum</em>, its obligate symbiont <em>Buchnera aphidicola </em>and the facultative heat-protective symbiont <em>Serratia symbiotica</em>. We used two clonal lines of <em>A. pisum </em>uninfected (5A) or infected with <em>S. symbiotica </em>(5AR). Thermal treatments were applied form aphid birth to death. We recorded both aphid traits (immature survival rate, longevity, immature development time, total fecundity, body size) and symbiont titres at the onset of reproduction (for both <em>B. aphidicola </em>and <em>S. symbiotica</em>), expressed relatively to aphid gene copy number through quantitative PCRs (qPCRs).</p> <p><strong>Aphid traits</strong></p> <p>. Individual = identification of the individual</p> <p>. Line = aphid clonal line, either deprived of (5A) or infected with <em>S. symbiotica </em>(5AR)</p> <p>. MT = Mean Temperature, either 18°C or 25°C</p> <p>. DTR = Diurnal Temperature Range (day-night fluctuations), either 5°C or 10°C</p> <p>. surv.adult = whether (Y) or not (N) the individual survived until reaching reproduction (immature survival rate)</p> <p>. adulthood = time elapsed between birth and first reproduction (in days)</p> <p>. lifespan = time elapsed between birth and death (in days)</p> <p>. offspring = total number of larvae produced by each aphid throughout lifetime</p> <p>. tibia = hind tibia length as a proxy of body size (in mm)</p> <p>. wing = whether (Y) or not (N) the individual developed wings following imaginal moult</p> <p> </p> <p><strong>Symbiont titres</strong></p> <p>. Individual = identification of the individual</p> <p>. Line = aphid clonal line, either deprived of (A) or infected with <em>S. symbiotica </em>(AR)</p> <p>. MT = Mean Temperature, either 18°C or 25°C</p> <p>. DTR = Diurnal Temperature Range (day-night fluctuations), either 5°C or 10°C</p> <p>. QPCR = identification of the microplate used during qPCR analyses (to handle pseudoreplication)</p> <p>. EfAlph = number of copies of aphid housekeeping gene elongation factor 1-alpha (<em>EF1-α</em>)</p> <p>. SdEfAlph = standard deviation of the aphid gene copy number, calculated over three technical replicates</p> <p>. DnaKBa = number of copies of <em>B. aphidicola </em>gene <em>dnaK</em></p> <p>. SdDnaKBa = standard deviation of <em>B. aphidicola </em>gene copy number, calculated over three technical replicates</p> <p>. DnakSs = number of copies of <em>S. symbiotica </em>gene <em>dnaK</em></p> <p>. SdDnaKSs = standard deviation of <em>S. symbiotica </em>gene copy number, calculated over three technical replicates</p> <p>. RappBa = ratio between DnaKBa and EfAlph to calculate relative titre of <em>B. aphidicola</em></p> <p>. RappSs = ratio between DnaKSs and EfAlph to calculate relative titre of <em>S. symbiotica</em></p>
The effect of migration and variation on populations of Escherichia coli adapting to complex fluctuating environments
<p class="MsoNormal"><span>Migration, a critical evolutionary force, can have contrasting effects on adaptation. It can aid as well as impede adaptation. The effects of migration on microbial adaptation have been studied primarily in simple constant environments. Very little is known about the effects of migration on adaptation to complex, fluctuating environments. In our study, we subjected replicate populations of <em><span>Escherichia coli</span></em>, adapting to complex and unpredictably fluctuating environments to different proportions of clonal ancestral immigrants. Contrary to the results from simple/constant environments, the presence of clonal immigrants reduced all measured proxies of fitness. However, migration from a source population with a greater variance in fitness resulted in no change in fitness w.r.t the no-migration control, except at the highest level of migration. Thus, the presence of variation in the immigrants could counter the adverse effects of migration in complex and unpredictably fluctuating environments. Our study demonstrates that the effects of migration are strongly dependent on the nature of the destination environment and the genetic makeup of immigrants. These results enhance our understanding of the influences of migrating populations, which could help better predict the consequences of migration.</span></p>
Data and code from: Experimental evolution of environmental tolerance, acclimation, and physiological plasticity in a randomly fluctuating environment
<p>Environmental tolerance curves, representing absolute fitness against the environment, are an empirical assessment of the fundamental niche, and emerge from the phenotypic plasticity of underlying phenotypic traits. Dynamic plastic responses of these traits can lead to acclimation effects, whereby recent past environments impact current fitness. Theory predicts that higher levels of phenotypic plasticity should evolve in environments that fluctuate more predictably, but there have been few experimental tests of these predictions. Specifically, will still lack experimental evidence for evolution of acclimation effects in response to environmental predictability. Here, we exposed 25 genetically diverse populations of the halotolerant microalgae Dunaliella salina to different constant salinities, or to randomly fluctuating salinities, for over 200 generations. The fluctuating treatments differed in their autocorrelation, which determines the similarity of subsequent values, and thus environmental predictability. We then measured acclimated tolerance surfaces, mapping population growth rate against past (acclimation) and current (assay) environments. We found that experimental mean and variance in salinity caused the evolution of niche position (optimal salinity) and breadth, with respect to not only current but also past (acclimation) salinity. We also detected weak but significant evidence for evolutionary changes in response to environmental predictability, with higher predictability leading notably to an upwards shift in optimal salinities and stronger acclimation effect of past environment on current fitness. We further showed that these responses are related to the evolution of plasticity for intracellular glycerol, the major osmoregulatory mechanism in this species. However the direction of plasticity evolution did not match simple theoretical predictions. Our results underline the need for a more explicit consideration of the dynamics of environmental tolerance and its underlying plastic traits to reach a better understanding of ecology and evolution in fluctuating environments.</p>
Data and codes for: Experimental evolution of evolutionary potential in fluctuating environments
<p>This supplementary data contains raw data for a publication: "Experimental evolution of evolutionary potential in fluctuating environments." 1) Raw data of optical density measurements (10 .csv files), 2) R-code for obtaining maximal growth rate and maximum biomass yield from measurements. 3) resulting data file 4) R-code for Bayesian analysis of the data.</p>
Data From: Dynamic environments generate geographic fluctuations in population structure of an inland shorebird
<p>Data From: Dynamic environments generate geographic fluctuations in population structure of an inland shorebird. Table S2: δ2H values in breast feathers sampled from 352 pre-fledged young mountain plovers from across the breeding range used for isoscape calibration. The table provides the latitude and longitude coordinates for each δ2H feather sample. </p>
The effect of migration and variation on populations of Escherichia coli adapting to complex fluctuating environments
Open the record for dataset details and reuse information.
Data and codes for: Experimental evolution of evolutionary potential in fluctuating environments
Open the record for dataset details and reuse information.
The influence of relatedness on parental reproductive success and offspring fitness in Eastern chipmunks breeding in fluctuating environments
Open the record for dataset details and reuse information.
Data and code from: Experimental evolution of environmental tolerance, acclimation, and physiological plasticity in a randomly fluctuating environment
Open the record for dataset details and reuse information.
Generalists versus specialists in fluctuating environments: a bet‐hedging perspective
Open the record for dataset details and reuse information.
Data from: A highly social, land-dwelling fish defends territories in a constantly fluctuating environment
The Pacific leaping blenny (Alticus arnoldorum) is a marine fish that has made a highly successful transition to land. We report an extensive field study on the behavior of this remarkable fish and how it has coped with life on land. The fish occurs in great abundance above the waterline along the rocky coastlines of Micronesia. We found them to be terrestrial in all aspects of their adult daily life, but heavily constrained by large fluctuations in both tide and temperature with almost all activity limited to a brief period at mid-tide. Despite this, the fish were highly social and data were consistent with males defending exclusive territories on land. A variety of metrics – the use of visual displays, the allometry of ornaments, and sexual dimorphism – further imply sexual selection on both sexes was strong. Despite being restricted to an extremely narrow habitable zone in which conditions change constantly, the Pacific leaping blenny is remarkably adapted to life on land and rarely returned to water. The genus is unique among the living fishes in its degree of terrestriality and serves as a useful model of the constraints and adaptations that accompany major ecological transitions.
Data from: Offspring fitness and the optimal propagule size in a fluctuating environment
Propagule size is an important maternal effect on offspring fitness and phenotype in birds and other oviparous animals. The performance of propagules often increases with size, but a fluctuating environment may introduce temporal variation in the optimal phenotype. Understanding these mechanisms will provide novel insights into the eco-evolutionary dynamics of life history strategies in parental reproductive investment. We investigated the interaction between propagule size (measured as egg volume) and environmental conditions on offspring mortality and phenotype in a Norwegian house sparrow population. Increased propagule size reduced offspring mortality in early life, with more pronounced effects under heavy precipitation. However, the optimal propagule size for low offspring mortality until recruitment shifted from large to small as temperature increased. Propagule size had no significant effect on fledgling body mass and tarsus length. These results reveal a potential for eco-evolutionary dynamics in propagule size, as populations adapt to fluctuating environmental conditions. The ultimate outcome of this dynamic process will also depend on variation in parental fitness and trade-offs with other life-history traits, particularly clutch size.
Data from: Is biasing offspring sex ratio adaptive? a test of Fisher's principle across multiple generations of a wild mammal in a fluctuating environment
Fisher's principle explains that population sex ratio in sexually reproducing organisms is maintained at 1:1 due to negative frequency-dependent selection, such that individuals of the rare sex realize greater reproductive opportunity than individuals of the more common sex until equilibrium is reached. If biasing offspring sex ratio towards the rare sex is adaptive, individuals that do so should have a higher number of grandoffspring. In a wild population of North American red squirrels (Tamiasciurus hudsonicus) that experiences fluctuations in resource abundance and population density, we show that overall across 26 years, the secondary sex ratio was 1:1; however, stretches of years during which adult sex ratio was biased did not yield offspring sex ratios biased towards the rare sex. Females that had litters biased towards the rare sex did not have more grandoffspring. Critically, adult sex ratio was not temporally autocorrelated across years, thus the population sex ratio experienced by parents was independent of the population sex ratio experienced by their offspring by the time of their primiparity. Expected fitness benefits of biasing offspring sex ratio may be masked or negated by fluctuating environments across years, which limit the predictive value of the current sex ratio.
Data from: What kind of maternal effects can be selected for in fluctuating environments?
Just as phenotypic plasticity can evolve when developing individuals get informational cues about their future adult environment, deterministic maternal effects, where offspring trait values depend on the maternal environment, can evolve when mothers gain reliable information about the environments their offspring will face. Randomizing maternal effects (a type of diversifying bet hedging), where offspring trait values are randomized, can evolve by natural selection even when information about future environments is unavailable. We investigate selection on both randomizing and deterministic maternal effects in environments that show correlated fluctuations between two environmental states. We compare the strength of selection for deterministic and randomizing maternal effects and explicitly consider maternal fitness costs of producing offspring with different phenotypes. Only a small set of environmental parameters allow randomizing maternal effects to outcompete deterministic maternal effects; not only must there be little or no information available about future environments, but the frequency of each environment must fall within a narrow range. By contrast, deterministic maternal effects can always invade an ancestral state lacking a maternal effect even if the amount of environmental information available is low. The long-term outcome may involve offspring trait value randomization but only if trait values first evolve to cause extreme differences in environment-specific fitness. Overall, deterministic maternal effects are more likely to evolve by natural selection than randomizing maternal effects.
The stability of competitive metacommunities is insensitive to dispersal connectivity in a fluctuating environment
<p>This repository contains four archived folders: 1) all the codes and parameter sets for the simulations, 2) codes to analyse and visualise the simulation outputs, 3) simulation output files and other data files necessary for the analysis, and 4) library management files for julia lang. Please refer to README.txt for the descriptions of the files.</p>
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.