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4,243 results for “seasonality”
Holoplanktonic mollusks (Pteropoda and Pterotrachoidea) in the Campeche Canyon, southern Gulf of Mexico during a Nortes season
<p>Species and Environmental dataset</p>
Seasonal frozen soil electrical resistance estimation based on capillary fractal model
<p>This project code is provided by the article "Seasonal frozen soil electrical resistance estimation based on capillary fractal model".</p> <p>The experimental sample data for this study is supplemented by supporting information. The validation of experimental samples demonstrated in this study, sen-sitivity calculations, field experiment applications, and visualization code are all completed using Matlab and are publicly available via the following link.</p> <ol> <li> <p><em>The validation of experimental samples</em>: [Sample_test1.m] to [Sample_test6.m] and the plot file [Sample_plot.m] The samples dataset: [perturecalculation.txt]</p> </li> <li> <p><em>Sensitivity calculations</em>: [sensitivitytest.m]</p> </li> <li> <p><em>Field experiment applications</em>: [model_application01m.m] and [model_application07m.m]</p> </li> </ol>
Seasonal Harvesting Impact on Biomass Fuel Properties and Pyrolysis-Derived Bio-oil Organic Phase Composition
Open the record for dataset details and reuse information.
Data from: Feedback between environment and traits under selection in a seasonal environment: consequences for experimental evolution
Batch cultures are frequently used in experimental evolution. Even though they are generally considered to simply drive a growth rate increase, traits evolution can be more complex. Indeed, recurrent batches form a seasonal environment as different phases repeat periodically and different traits can be under selection in the different seasons. Moreover, during culture the impact of organisms on the environment is important since the system is closed. Thus, the study of adaptation should take into account the environment and eco-evolutionary feedbacks. Using the data of an experimental evolution on yeast Saccharomyces cerevisiae, we develop a mathematical model to understand which traits are under selection, and what is the role of the environment for selection in a batch culture. We show that two kinds of traits are under selection in seasonal environments: life-history traits, related to growth and mortality, and transition traits, related to the ability to maintain high growth rate when the environment changes. The impact of environmental conditions can be summarized by the length of the different seasons which weight the importance of selection on each trait: the longer a season is, the higher is selection on the associated traits. Since phenotypes drive the length of each season, eco-evolutionary feedbacks emerge. Such feedbacks are known to promote coexistence between different species or strains. Our results show that the design of the batch in an experimental evolution can affect which traits are most selected because of these feedbacks.
Data from: The impact of seasonality on niche breadth, distribution range and species richness: a theoretical exploration of Janzen's hypothesis
Being invoked as one of the candidate mechanisms for the latitudinal patterns in biodiversity, Janzen's hypothesis states that the limited seasonal temperature variation in the tropics generates greater temperature stratification across elevations, which makes tropical species adapted to narrower ranges of temperatures and have lower effective dispersal across elevations than species in temperate regions. Numerous empirical studies have documented latitudinal patterns in species elevational ranges and thermal niche breadths that are consistent with the hypothesis, but the theoretical underpinnings remain unclear. This study presents the first mathematical model to examine the evolutionary processes that could back up Janzen's hypothesis and assess the effectiveness of limited seasonal temperature variation to promote speciation along elevation in the tropics. Results suggest that trade-offs in thermal tolerances provide a mechanism for Janzen's hypothesis. Limited seasonal temperature variation promotes gradient speciation not due to the reduction in gene flow that is associated with narrow thermal niche, but due to the pleiotropic effects of more stable divergent selection of thermal tolerance on the evolution of reproductive incompatibility. The proposed modelling approach also provides a potential way to test a speciation model against genetic data.
Data from: Songbird frequency selectivity and temporal resolution vary with sex and season
Many species of songbirds exhibit dramatic seasonal variation in song output. Recent evidence suggests that seasonal changes in auditory processing are coincident with seasonal variation in vocal output. Here we show for the first time that frequency selectivity and temporal resolution of the songbird auditory periphery change seasonally and in a sex-specific manner. Male and female house sparrows (Passer domesticus) did not differ in their frequency sensitivity during the non-breeding season, nor did they differ in their temporal resolution. In contrast, female house sparrows showed enhanced frequency selectivity during the breeding season which was matched by a concomitant reduction of temporal resolution. However, males failed to show seasonal plasticity in either of these auditory properties. We discuss potential mechanisms generating these seasonal patterns and the implications of sex-specific seasonal changes in auditory processing for vocal communication.
Figure 3 in Dietary ecology of common amphibian species in a seasonal location in northern Sri Lanka
Figure 3. Relationship between standardised gape width and standardised niche breadth (BA).
Disease seasonality estimation dataset for: Do psychiatric diseases follow annual cyclic seasonality?
<p class="Paragraph"><span><span><span><span><span><span><span><span><span><span><span>Seasonal affective disorder famously follows annual cycles, with incidence elevation in the fall and spring. Should some version of cyclic annual pattern be expected from other psychiatric disorders? Would annual cycles be similar for distinct psychiatric conditions? This study probes these questions using two very large datasets describing the health histories of 150 million unique Americans and the entire Swedish population. We performed two types of analysis, using "uncorrected" and "corrected" observation. The former analysis focused on counts of daily patient visits associated with each disease. The latter analysis instead looked at proportion of disease-specific visits within the total volume of visits for a time interval. In the uncorrected analysis, we found that psychiatric diseases' annual patterns were remarkably similar across the studied diseases in both countries, with the magnitude of annual variation significantly higher in Sweden than in the US for psychiatric, but not infectious diseases. In the corrected analysis, only one group of patients – eleven to 20 years old – reproduced all regularities we observed for psychiatric disorders in the uncorrected analysis; the annual healthcare-seeking visit patterns associated with other age groups changed drastically. Analogous analyses over infectious diseases were less divergent over these two types of computation. Comparing two sets of results in context of published psychiatric disease seasonality studies, we tend to believe that our uncorrected results are likely to capture the real trends, while the corrected results reflect mostly artefacts determined by dominantly fluctuating health-seeking visits across year. In the spirit of full disclosure, we present both unredacted sets of results even-handedly and leave the verdict to the readers.</span></span></span></span></span></span></span></span></span></span></span></p>
Files used in the analyses from A role of asynchrony of seasons in explaining genetic differentiation in a Neotropical toad
<p>The process of diversification can be studied at the phylogeographic level by attempting to identify the environmental features that promote and maintain population divergence. Here we investigate diversification in <i>Rhinella granulosa</i>, a Neotropical toad from northeastern Brazil, by testing a range of hypotheses that encompass different putative mechanisms reducing gene flow among populations. We sequenced single nucleotide polymorphisms and examined individual predictions related to the role of geographic barriers (rivers), ecological gradients, historical habitat stability, and spatial variation in climate seasonality, also known as the asynchrony of seasons hypothesis. This hypothesis postulates that temporal asynchrony of wet and dry seasons over short distances causes parapatric populations to become isolated by time. After determining genetic structure, inferring past distributions, ranking demographic models, and estimating the power of monthly climatic variables, our results identified two populations that are not associated with geographic barriers, biome gradients, or historical refugia. Instead, they are predicted by spatial variation in monthly rainfall and minimum temperature, consistent with the asynchrony of seasons hypothesis, supported also by our comparative framework using multiple matrix regression and linear mixed effects modeling. Due to the toad's life history, climate likely mediates gene flow directly, with genetic differentiation being provoked by neutral mechanisms related to climate driven population isolation, and/or by natural selection against migrants from populations with different breeding times. The asynchrony of seasons hypothesis is seldom considered in phylogeographic studies, but our results indicate that it should be tested in systems where breeding is tightly coupled with climate. </p>
Early‐life seasonal, weather and social effects on telomere length in a wild mammal
<p class="MsoNoSpacing">Early-life environmental conditions can provide a source of individual variation in life-history strategies and senescence patterns. <a name="_Hlk65916590">Conditions experienced in early life can be quantified by measuring telomere length, which can act as a biomarker of survival probability in some species. </a>Here, we investigate whether seasonal changes, weather conditions, and group size are associated with early-life and/or early-adulthood telomere length in a wild population of European badgers (<i>Meles meles</i>). <a name="_Hlk68254810">We found substantial intra-annual changes in telomere length during the first three years of life (both between and within individuals), with shorter telomere lengths in the winter following the first spring and a trend for longer telomere lengths in the second spring compared to the first winter.</a> <a name="_Hlk65917227">In terms of weather conditions, cubs born in warmer, wetter springs with low rainfall variability had longer early-life (3–12 months old) telomere lengths</a>. Additionally, cubs born in groups with more cubs had marginally longer early-life telomeres, providing no evidence of resource constraint from cub competition. We also found that our previously documented positive association between early-life telomere length and cub survival probability remained when social and weather variables were included. Finally, after sexual maturity, in early adulthood (i.e. 12–36 months) we found no significant association between same-sex adult group size and telomere length (i.e. no effect of intra-sexual competition). Overall, we show that controlling for seasonal effects, which are linked to food availability and foraging success, is important in telomere length analyses, and that variation in telomere length in badgers reflects early-life conditions and also predicts first year cub survival.</p>
Seasonal NDVI data for a biodiversity and consumer removal experiment at the University of Minnesota's Cedar Creek Ecosystem Science Reserve (2009 - 2016)
<p><span><span><span><span><span><span><span><span><span><span><span>Plant biodiversity and consumers (herbivores, pathogens, and mutualists) are important mediators of energy and carbon fluxes in grassland ecosystems. Although the role of consumers and plant diversity in controlling peak-season biomass production has been characterized, knowledge of their roles in within-season variation of energy and carbon flux remains poorly understood. Here we measure variation in consumer and plant diversity control of plant biomass production throughout the growing season and their impact on plant biomass phenology (timing of maximum biomass). To do this, we analyzed 5 years of biweekly, non-destructive biomass measures in an experiment manipulating plant species richness and three consumer groups (foliar fungi, soil fungi, arthropods, or all groups via pesticides). We found that plant biomass differences between high diversity plots and monocultures were greatest early in the growing season, whereas the foliar fungicide and insecticide treatments increased biomass most late in the season. The impact of foliar fungi and arthropods on biomass production also varied with plant diversity, with the greatest effects of foliar fungicide in high diversity plots whereas insecticide impacts were greatest in monocultures. Finally, more diverse plots and plots containing foliar fungi reached maximum biomass earlier than monocultures and plots treated with foliar fungicide. Taken together, these results highlight the significant and interactive roles that biodiversity and consumers play in dynamically regulating the production of plant biomass through the growing season, controlling the flow of energy and carbon to support the microbial and animal communities that rely on grassland productivity.</span></span></span></span></span></span></span></span></span></span></span></p>
Figure 1 in Taxonomic revision of the seasonal killifish genus Nothobranchius from Zanzibar, East Africa (Cyprinodontoidei: Aplocheilidae)
Figure 1. Nothobranchius guentheri (Pfeffer 1893), ZMH H440, lectotype, male, 41.3 mm SL.
Figure 8 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 8. Sampled mean per leaf values of preimaginal stages and days of rain in Naples.
Figure 9 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 9. Sampled mean per leaf of preimaginal stages and days of rain in Rome.
Figure 11 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 11. Sampled mean per leaf values of preimaginal stages and temperatures in Rome.
Figure 3 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 3. Sampled mean per leaf of eggs and nymphs in Naples and temperatures.
Figure 1 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 1. Sampled mean per leaf values of eggs and nymphs in Naples.
Figure 2 in Seasonal occurrence and adaptation of the exotic Glycaspis brimblecombei Moore (Hemiptera: Aphalaridae) in Italy
Figure 2. Sampled mean per leaf of eggs and nymphs in Rome.
Figure 1 in Foraging mode of Australolacerta rupicola (FitzSimons, 1933) (Sauria: Lacertidae): evidence of seasonal variation in an extremely active predator?
Figure 1. Typical microhabitat of Australolacerta rupicola in Sample Plot 1. Credit: S. Kirchhof.
Figure 3 in Foraging mode of Australolacerta rupicola (FitzSimons, 1933) (Sauria: Lacertidae): evidence of seasonal variation in an extremely active predator?
Figure 3. Typical microhabitat of Australolacerta rupicola in Sample Plot 3. Credit: S. Kirchhof.
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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.